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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2307.00355 | Ronnie de Souza Santos Dr | Gustavo da Silva and Ronnie de Souza Santos | Comparing Mobile Testing Tools Using Documentary Analysis | null | null | null | null | cs.SE | http://creativecommons.org/licenses/by/4.0/ | Due to the high demand for mobile applications, given the exponential growth
of users of this type of technology, testing professionals are frequently
required to invest time in studying testing tools, in particular, because
nowadays, several different tools are available. A variety of tools makes it
difficult for te... | [
{
"created": "Sat, 1 Jul 2023 14:52:27 GMT",
"version": "v1"
}
] | 2023-07-04 | [
[
"da Silva",
"Gustavo",
""
],
[
"Santos",
"Ronnie de Souza",
""
]
] | Due to the high demand for mobile applications, given the exponential growth of users of this type of technology, testing professionals are frequently required to invest time in studying testing tools, in particular, because nowadays, several different tools are available. A variety of tools makes it difficult for test... |
2308.06464 | Jun Li | Jun Li, Minqing Zhang, Ke Niu, Yingnan Zhang, Xiaoyuan Yang | A One-dimensional HEVC video steganalysis method using the Optimality of
Predicted Motion Vectors | Submitted to TCSVT | null | null | null | cs.CR cs.LG cs.MM | http://creativecommons.org/licenses/by/4.0/ | Among steganalysis techniques, detection against motion vector (MV)
domain-based video steganography in High Efficiency Video Coding (HEVC)
standard remains a hot and challenging issue. For the purpose of improving the
detection performance, this paper proposes a steganalysis feature based on the
optimality of predic... | [
{
"created": "Sat, 12 Aug 2023 04:51:04 GMT",
"version": "v1"
}
] | 2023-08-15 | [
[
"Li",
"Jun",
""
],
[
"Zhang",
"Minqing",
""
],
[
"Niu",
"Ke",
""
],
[
"Zhang",
"Yingnan",
""
],
[
"Yang",
"Xiaoyuan",
""
]
] | Among steganalysis techniques, detection against motion vector (MV) domain-based video steganography in High Efficiency Video Coding (HEVC) standard remains a hot and challenging issue. For the purpose of improving the detection performance, this paper proposes a steganalysis feature based on the optimality of predicte... |
2404.19139 | Jaidev Shastri | Jaidev Shastri, Xiaoguang Wang, Basavesh Ammanaghatta Shivakumar,
Freek Verbeek, Binoy Ravindran | HMTRace: Hardware-Assisted Memory-Tagging based Dynamic Data Race
Detection | null | null | null | null | cs.DC | http://creativecommons.org/licenses/by/4.0/ | Data race, a category of insidious software concurrency bugs, is often
challenging and resource-intensive to detect and debug. Existing dynamic race
detection tools incur significant execution time and memory overhead while
exhibiting high false positives. This paper proposes HMTRace, a novel Armv8.5-A
memory tag ext... | [
{
"created": "Mon, 29 Apr 2024 22:52:07 GMT",
"version": "v1"
}
] | 2024-05-01 | [
[
"Shastri",
"Jaidev",
""
],
[
"Wang",
"Xiaoguang",
""
],
[
"Shivakumar",
"Basavesh Ammanaghatta",
""
],
[
"Verbeek",
"Freek",
""
],
[
"Ravindran",
"Binoy",
""
]
] | Data race, a category of insidious software concurrency bugs, is often challenging and resource-intensive to detect and debug. Existing dynamic race detection tools incur significant execution time and memory overhead while exhibiting high false positives. This paper proposes HMTRace, a novel Armv8.5-A memory tag exten... |
2407.09017 | Scott Freitas | Scott Freitas, Jovan Kalajdjieski, Amir Gharib, Robert McCann | AI-Driven Guided Response for Security Operation Centers with Microsoft
Copilot for Security | null | null | null | null | cs.LG cs.CR cs.IR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Security operation centers contend with a constant stream of security
incidents, ranging from straightforward to highly complex. To address this, we
developed Copilot Guided Response (CGR), an industry-scale ML architecture that
guides security analysts across three key tasks -- (1) investigation, providing
essential... | [
{
"created": "Fri, 12 Jul 2024 06:10:01 GMT",
"version": "v1"
},
{
"created": "Thu, 18 Jul 2024 00:18:19 GMT",
"version": "v2"
},
{
"created": "Wed, 24 Jul 2024 01:15:20 GMT",
"version": "v3"
}
] | 2024-07-25 | [
[
"Freitas",
"Scott",
""
],
[
"Kalajdjieski",
"Jovan",
""
],
[
"Gharib",
"Amir",
""
],
[
"McCann",
"Robert",
""
]
] | Security operation centers contend with a constant stream of security incidents, ranging from straightforward to highly complex. To address this, we developed Copilot Guided Response (CGR), an industry-scale ML architecture that guides security analysts across three key tasks -- (1) investigation, providing essential h... |
2303.13326 | Ying Cao | Ying Cao, Elsa Rizk, Stefan Vlaski, Ali H. Sayed | Decentralized Adversarial Training over Graphs | arXiv admin note: text overlap with arXiv:2303.01936 | null | null | null | cs.LG cs.AI | http://creativecommons.org/licenses/by/4.0/ | The vulnerability of machine learning models to adversarial attacks has been
attracting considerable attention in recent years. Most existing studies focus
on the behavior of stand-alone single-agent learners. In comparison, this work
studies adversarial training over graphs, where individual agents are subjected
to ... | [
{
"created": "Thu, 23 Mar 2023 15:05:16 GMT",
"version": "v1"
}
] | 2023-03-24 | [
[
"Cao",
"Ying",
""
],
[
"Rizk",
"Elsa",
""
],
[
"Vlaski",
"Stefan",
""
],
[
"Sayed",
"Ali H.",
""
]
] | The vulnerability of machine learning models to adversarial attacks has been attracting considerable attention in recent years. Most existing studies focus on the behavior of stand-alone single-agent learners. In comparison, this work studies adversarial training over graphs, where individual agents are subjected to pe... |
2112.11187 | Sharare Zehtabian | Sharare Zehtabian, Siavash Khodadadeh, Damla Turgut, Ladislau
B\"ol\"oni | Predicting infections in the Covid-19 pandemic -- lessons learned | null | null | null | null | cs.CY cs.AI cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Throughout the Covid-19 pandemic, a significant amount of effort had been put
into developing techniques that predict the number of infections under various
assumptions about the public policy and non-pharmaceutical interventions. While
both the available data and the sophistication of the AI models and available
com... | [
{
"created": "Thu, 2 Dec 2021 20:20:46 GMT",
"version": "v1"
}
] | 2021-12-22 | [
[
"Zehtabian",
"Sharare",
""
],
[
"Khodadadeh",
"Siavash",
""
],
[
"Turgut",
"Damla",
""
],
[
"Bölöni",
"Ladislau",
""
]
] | Throughout the Covid-19 pandemic, a significant amount of effort had been put into developing techniques that predict the number of infections under various assumptions about the public policy and non-pharmaceutical interventions. While both the available data and the sophistication of the AI models and available compu... |
2211.09074 | Fangzhou Mu | Fangzhou Mu, Sicheng Mo, Gillian Wang, Yin Li | Where a Strong Backbone Meets Strong Features -- ActionFormer for Ego4D
Moment Queries Challenge | 2nd place in ECCV 2022 Ego4D Moment Queries Challenge | null | null | null | cs.CV | http://creativecommons.org/licenses/by/4.0/ | This report describes our submission to the Ego4D Moment Queries Challenge
2022. Our submission builds on ActionFormer, the state-of-the-art backbone for
temporal action localization, and a trio of strong video features from
SlowFast, Omnivore and EgoVLP. Our solution is ranked 2nd on the public
leaderboard with 21.7... | [
{
"created": "Wed, 16 Nov 2022 17:43:26 GMT",
"version": "v1"
}
] | 2022-11-17 | [
[
"Mu",
"Fangzhou",
""
],
[
"Mo",
"Sicheng",
""
],
[
"Wang",
"Gillian",
""
],
[
"Li",
"Yin",
""
]
] | This report describes our submission to the Ego4D Moment Queries Challenge 2022. Our submission builds on ActionFormer, the state-of-the-art backbone for temporal action localization, and a trio of strong video features from SlowFast, Omnivore and EgoVLP. Our solution is ranked 2nd on the public leaderboard with 21.76%... |
2002.01077 | Sunshine Chong | Sunshine Chong, Andr\'es Abeliuk | Quantifying the Effects of Recommendation Systems | 8 pages, 6 figures, accepted into the National Symposium of IEEE Big
Data 2019 | null | null | null | cs.IR cs.HC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Recommendation systems today exert a strong influence on consumer behavior
and individual perceptions of the world. By using collaborative filtering (CF)
methods to create recommendations, it generates a continuous feedback loop in
which user behavior becomes magnified in the algorithmic system. Popular items
get rec... | [
{
"created": "Tue, 4 Feb 2020 01:21:46 GMT",
"version": "v1"
}
] | 2020-02-05 | [
[
"Chong",
"Sunshine",
""
],
[
"Abeliuk",
"Andrés",
""
]
] | Recommendation systems today exert a strong influence on consumer behavior and individual perceptions of the world. By using collaborative filtering (CF) methods to create recommendations, it generates a continuous feedback loop in which user behavior becomes magnified in the algorithmic system. Popular items get recom... |
2405.18627 | Sunay Bhat | Sunay Bhat, Jeffrey Jiang, Omead Pooladzandi, Alexander Branch,
Gregory Pottie | PureGen: Universal Data Purification for Train-Time Poison Defense via
Generative Model Dynamics | null | null | null | null | cs.LG cs.AI cs.CR | http://creativecommons.org/licenses/by-nc-nd/4.0/ | Train-time data poisoning attacks threaten machine learning models by
introducing adversarial examples during training, leading to misclassification.
Current defense methods often reduce generalization performance, are
attack-specific, and impose significant training overhead. To address this, we
introduce a set of u... | [
{
"created": "Tue, 28 May 2024 22:19:26 GMT",
"version": "v1"
},
{
"created": "Sun, 2 Jun 2024 20:11:50 GMT",
"version": "v2"
}
] | 2024-06-04 | [
[
"Bhat",
"Sunay",
""
],
[
"Jiang",
"Jeffrey",
""
],
[
"Pooladzandi",
"Omead",
""
],
[
"Branch",
"Alexander",
""
],
[
"Pottie",
"Gregory",
""
]
] | Train-time data poisoning attacks threaten machine learning models by introducing adversarial examples during training, leading to misclassification. Current defense methods often reduce generalization performance, are attack-specific, and impose significant training overhead. To address this, we introduce a set of uni... |
2012.14116 | Zenan Xu | Zenan Xu, Daya Guo, Duyu Tang, Qinliang Su, Linjun Shou, Ming Gong,
Wanjun Zhong, Xiaojun Quan, Nan Duan and Daxin Jiang | Syntax-Enhanced Pre-trained Model | Accepted by ACL-IJCNLP 2021: The Joint Conference of the 59th Annual
Meeting of the Association for Computational Linguistics and the 11th
International Joint Conference on Natural Language Processing | null | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We study the problem of leveraging the syntactic structure of text to enhance
pre-trained models such as BERT and RoBERTa. Existing methods utilize syntax of
text either in the pre-training stage or in the fine-tuning stage, so that they
suffer from discrepancy between the two stages. Such a problem would lead to
the... | [
{
"created": "Mon, 28 Dec 2020 06:48:04 GMT",
"version": "v1"
},
{
"created": "Sat, 29 May 2021 08:13:49 GMT",
"version": "v2"
}
] | 2021-06-01 | [
[
"Xu",
"Zenan",
""
],
[
"Guo",
"Daya",
""
],
[
"Tang",
"Duyu",
""
],
[
"Su",
"Qinliang",
""
],
[
"Shou",
"Linjun",
""
],
[
"Gong",
"Ming",
""
],
[
"Zhong",
"Wanjun",
""
],
[
"Quan",
"Xiaojun",
... | We study the problem of leveraging the syntactic structure of text to enhance pre-trained models such as BERT and RoBERTa. Existing methods utilize syntax of text either in the pre-training stage or in the fine-tuning stage, so that they suffer from discrepancy between the two stages. Such a problem would lead to the n... |
2405.11965 | Michael Dorner | Michael Dorner and Andreas Bauer and Florian Angermeir | No Free Lunch: Research Software Testing in Teaching | null | null | null | null | cs.SE | http://creativecommons.org/licenses/by/4.0/ | Software is at the core of most scientific discoveries today. Therefore, the
quality of research results highly depends on the quality of the research
software. Rigorous testing, as we know it from software engineering in the
industry, could ensure the quality of the research software but it also
requires a substanti... | [
{
"created": "Mon, 20 May 2024 11:40:01 GMT",
"version": "v1"
}
] | 2024-05-21 | [
[
"Dorner",
"Michael",
""
],
[
"Bauer",
"Andreas",
""
],
[
"Angermeir",
"Florian",
""
]
] | Software is at the core of most scientific discoveries today. Therefore, the quality of research results highly depends on the quality of the research software. Rigorous testing, as we know it from software engineering in the industry, could ensure the quality of the research software but it also requires a substantial... |
2209.10131 | Gadekallu Thippa Reddy | Gokul Yenduri, Thippa Reddy Gadekallu | A Systematic Literature Review of Soft Computing Techniques for Software
Maintainability Prediction: State-of-the-Art, Challenges and Future
Directions | Submitted for peer review | null | null | null | cs.SE cs.AI | http://creativecommons.org/licenses/by/4.0/ | The software is changing rapidly with the invention of advanced technologies
and methodologies. The ability to rapidly and successfully upgrade software in
response to changing business requirements is more vital than ever. For the
long-term management of software products, measuring software maintainability
is cruci... | [
{
"created": "Wed, 21 Sep 2022 05:38:23 GMT",
"version": "v1"
}
] | 2022-09-22 | [
[
"Yenduri",
"Gokul",
""
],
[
"Gadekallu",
"Thippa Reddy",
""
]
] | The software is changing rapidly with the invention of advanced technologies and methodologies. The ability to rapidly and successfully upgrade software in response to changing business requirements is more vital than ever. For the long-term management of software products, measuring software maintainability is crucial... |
2401.01200 | Renato Krohling | Flavio P. Loss, Pedro H. da Cunha, Matheus B. Rocha, Madson
Poltronieri Zanoni, Leandro M. de Lima, Isadora Tavares Nascimento, Isabella
Rezende, Tania R. P. Canuto, Luciana de Paula Vieira, Renan Rossoni, Maria C.
S. Santos, Patricia Lyra Frasson, Wanderson Rom\~ao, Paulo R. Filgueiras, and
Renato A. Krohling | Skin cancer diagnosis using NIR spectroscopy data of skin lesions in
vivo using machine learning algorithms | null | null | null | null | cs.CV cs.AI | http://creativecommons.org/licenses/by/4.0/ | Skin lesions are classified in benign or malignant. Among the malignant,
melanoma is a very aggressive cancer and the major cause of deaths. So, early
diagnosis of skin cancer is very desired. In the last few years, there is a
growing interest in computer aided diagnostic (CAD) using most image and
clinical data of t... | [
{
"created": "Tue, 2 Jan 2024 13:03:39 GMT",
"version": "v1"
}
] | 2024-01-03 | [
[
"Loss",
"Flavio P.",
""
],
[
"da Cunha",
"Pedro H.",
""
],
[
"Rocha",
"Matheus B.",
""
],
[
"Zanoni",
"Madson Poltronieri",
""
],
[
"de Lima",
"Leandro M.",
""
],
[
"Nascimento",
"Isadora Tavares",
""
],
[
"Rezende... | Skin lesions are classified in benign or malignant. Among the malignant, melanoma is a very aggressive cancer and the major cause of deaths. So, early diagnosis of skin cancer is very desired. In the last few years, there is a growing interest in computer aided diagnostic (CAD) using most image and clinical data of the... |
2304.03158 | Wu Xing | Xing Wu, Guangyuan Ma, Peng Wang, Meng Lin, Zijia Lin, Fuzheng Zhang
and Songlin Hu | CoT-MAE v2: Contextual Masked Auto-Encoder with Multi-view Modeling for
Passage Retrieval | working in progress | null | null | null | cs.CL cs.AI cs.IR cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Growing techniques have been emerging to improve the performance of passage
retrieval. As an effective representation bottleneck pretraining technique, the
contextual masked auto-encoder utilizes contextual embedding to assist in the
reconstruction of passages. However, it only uses a single auto-encoding
pre-task fo... | [
{
"created": "Wed, 5 Apr 2023 08:00:38 GMT",
"version": "v1"
}
] | 2023-04-07 | [
[
"Wu",
"Xing",
""
],
[
"Ma",
"Guangyuan",
""
],
[
"Wang",
"Peng",
""
],
[
"Lin",
"Meng",
""
],
[
"Lin",
"Zijia",
""
],
[
"Zhang",
"Fuzheng",
""
],
[
"Hu",
"Songlin",
""
]
] | Growing techniques have been emerging to improve the performance of passage retrieval. As an effective representation bottleneck pretraining technique, the contextual masked auto-encoder utilizes contextual embedding to assist in the reconstruction of passages. However, it only uses a single auto-encoding pre-task for ... |
2406.12569 | Yujie Wang | Chi Ma, Mincong Huang, Chao Wang, Yujie Wang, Lei Yu | MOYU: A Theoretical Study on Massive Over-activation Yielded Uplifts in
LLMs | null | null | null | null | cs.LG | http://creativecommons.org/licenses/by/4.0/ | Massive Over-activation Yielded Uplifts(MOYU) is an inherent property of
large language models, and dynamic activation(DA) based on the MOYU property is
a clever yet under-explored strategy designed to accelerate inference in these
models. Existing methods that utilize MOYU often face a significant 'Impossible
Trinit... | [
{
"created": "Tue, 18 Jun 2024 12:57:33 GMT",
"version": "v1"
},
{
"created": "Fri, 28 Jun 2024 07:23:16 GMT",
"version": "v2"
}
] | 2024-07-01 | [
[
"Ma",
"Chi",
""
],
[
"Huang",
"Mincong",
""
],
[
"Wang",
"Chao",
""
],
[
"Wang",
"Yujie",
""
],
[
"Yu",
"Lei",
""
]
] | Massive Over-activation Yielded Uplifts(MOYU) is an inherent property of large language models, and dynamic activation(DA) based on the MOYU property is a clever yet under-explored strategy designed to accelerate inference in these models. Existing methods that utilize MOYU often face a significant 'Impossible Trinity'... |
2101.08885 | Geunsik Lim | Geunsik Lim, Changwoo Min, Dong Hyun Kang, and Young Ik Eom | User-Aware Power Management for Mobile Devices | null | null | 10.1109/GCCE.2013.6664780 | null | cs.AR cs.OS | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The power management techniques to extend battery lifespan is becoming
increasingly important due to longer user applications' running time in mobile
devices. Even when users do not use any applications, battery lifespan
decreases continually. It occurs because of service daemons of mobile platform
and network-based ... | [
{
"created": "Thu, 21 Jan 2021 23:17:42 GMT",
"version": "v1"
}
] | 2021-01-25 | [
[
"Lim",
"Geunsik",
""
],
[
"Min",
"Changwoo",
""
],
[
"Kang",
"Dong Hyun",
""
],
[
"Eom",
"Young Ik",
""
]
] | The power management techniques to extend battery lifespan is becoming increasingly important due to longer user applications' running time in mobile devices. Even when users do not use any applications, battery lifespan decreases continually. It occurs because of service daemons of mobile platform and network-based da... |
2301.10577 | Sushil Awale | Debayan Banerjee, Seid Muhie Yimam, Sushil Awale and Chris Biemann | ARDIAS: AI-Enhanced Research Management, Discovery, and Advisory System | null | null | null | null | cs.CL cs.AI cs.IR cs.LG | http://creativecommons.org/licenses/by/4.0/ | In this work, we present ARDIAS, a web-based application that aims to provide
researchers with a full suite of discovery and collaboration tools. ARDIAS
currently allows searching for authors and articles by name and gaining
insights into the research topics of a particular researcher. With the aid of
AI-based tools,... | [
{
"created": "Wed, 25 Jan 2023 13:30:10 GMT",
"version": "v1"
}
] | 2023-01-26 | [
[
"Banerjee",
"Debayan",
""
],
[
"Yimam",
"Seid Muhie",
""
],
[
"Awale",
"Sushil",
""
],
[
"Biemann",
"Chris",
""
]
] | In this work, we present ARDIAS, a web-based application that aims to provide researchers with a full suite of discovery and collaboration tools. ARDIAS currently allows searching for authors and articles by name and gaining insights into the research topics of a particular researcher. With the aid of AI-based tools, A... |
2110.00443 | Florian Fischer | Florian Fischer, Arthur Fleig, Markus Klar, J\"org M\"uller | Optimal Feedback Control for Modeling Human-Computer Interaction | 66 pages, 21 figures, two appendices | null | 10.1145/3524122 | null | cs.HC math.OC | http://creativecommons.org/licenses/by-sa/4.0/ | Optimal feedback control (OFC) is a theory from the motor control literature
that explains how humans move their body to achieve a certain goal, e.g.,
pointing with the finger. OFC is based on the assumption that humans aim to
control their body optimally, within the constraints imposed by body,
environment, and task... | [
{
"created": "Fri, 1 Oct 2021 14:26:42 GMT",
"version": "v1"
},
{
"created": "Wed, 20 Apr 2022 07:02:37 GMT",
"version": "v2"
}
] | 2022-04-21 | [
[
"Fischer",
"Florian",
""
],
[
"Fleig",
"Arthur",
""
],
[
"Klar",
"Markus",
""
],
[
"Müller",
"Jörg",
""
]
] | Optimal feedback control (OFC) is a theory from the motor control literature that explains how humans move their body to achieve a certain goal, e.g., pointing with the finger. OFC is based on the assumption that humans aim to control their body optimally, within the constraints imposed by body, environment, and task. ... |
2310.07820 | Nate Gruver | Nate Gruver, Marc Finzi, Shikai Qiu, Andrew Gordon Wilson | Large Language Models Are Zero-Shot Time Series Forecasters | NeurIPS 2023. Code available at: https://github.com/ngruver/llmtime | null | null | null | cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | By encoding time series as a string of numerical digits, we can frame time
series forecasting as next-token prediction in text. Developing this approach,
we find that large language models (LLMs) such as GPT-3 and LLaMA-2 can
surprisingly zero-shot extrapolate time series at a level comparable to or
exceeding the per... | [
{
"created": "Wed, 11 Oct 2023 19:01:28 GMT",
"version": "v1"
},
{
"created": "Tue, 18 Jun 2024 14:48:38 GMT",
"version": "v2"
},
{
"created": "Mon, 12 Aug 2024 00:43:56 GMT",
"version": "v3"
}
] | 2024-08-13 | [
[
"Gruver",
"Nate",
""
],
[
"Finzi",
"Marc",
""
],
[
"Qiu",
"Shikai",
""
],
[
"Wilson",
"Andrew Gordon",
""
]
] | By encoding time series as a string of numerical digits, we can frame time series forecasting as next-token prediction in text. Developing this approach, we find that large language models (LLMs) such as GPT-3 and LLaMA-2 can surprisingly zero-shot extrapolate time series at a level comparable to or exceeding the perfo... |
2209.00586 | Nikos Fotiou | Nikos Fotiou, Iakovos Pittaras, Spiros Chadoulos, Vasilios A. Siris,
George C. Polyzos, Nikolaos Ipiotis, Stratos Keranidis | Authentication, Authorization, and Selective Disclosure for IoT data
sharing using Verifiable Credentials and Zero-Knowledge Proofs | to appear in ESORICS Workshop on Emerging Technologies for
Authorization and Authentication, ETAA 2022 | null | null | null | cs.CR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | As IoT becomes omnipresent vast amounts of data are generated, which can be
used for building innovative applications. However,interoperability issues and
security concerns, prevent harvesting the full potentials of these data. In
this paper we consider the use case of data generated by smart buildings.
Buildings are... | [
{
"created": "Thu, 1 Sep 2022 16:59:03 GMT",
"version": "v1"
}
] | 2022-09-02 | [
[
"Fotiou",
"Nikos",
""
],
[
"Pittaras",
"Iakovos",
""
],
[
"Chadoulos",
"Spiros",
""
],
[
"Siris",
"Vasilios A.",
""
],
[
"Polyzos",
"George C.",
""
],
[
"Ipiotis",
"Nikolaos",
""
],
[
"Keranidis",
"Stratos",
... | As IoT becomes omnipresent vast amounts of data are generated, which can be used for building innovative applications. However,interoperability issues and security concerns, prevent harvesting the full potentials of these data. In this paper we consider the use case of data generated by smart buildings. Buildings are b... |
2111.00621 | Qian Yang | Bojian Hou and Hao Zhang and Gur Ladizhinsky and Gur Ladizhinsky and
Stephen Yang and Volodymyr Kuleshov and Fei Wang and Qian Yang | Clinical Evidence Engine: Proof-of-Concept For A
Clinical-Domain-Agnostic Decision Support Infrastructure | null | null | null | null | cs.AI cs.HC | http://creativecommons.org/licenses/by-nc-nd/4.0/ | Abstruse learning algorithms and complex datasets increasingly characterize
modern clinical decision support systems (CDSS). As a result, clinicians cannot
easily or rapidly scrutinize the CDSS recommendation when facing a difficult
diagnosis or treatment decision in practice. Over-trust or under-trust are
frequent. ... | [
{
"created": "Sun, 31 Oct 2021 23:21:25 GMT",
"version": "v1"
}
] | 2021-11-02 | [
[
"Hou",
"Bojian",
""
],
[
"Zhang",
"Hao",
""
],
[
"Ladizhinsky",
"Gur",
""
],
[
"Ladizhinsky",
"Gur",
""
],
[
"Yang",
"Stephen",
""
],
[
"Kuleshov",
"Volodymyr",
""
],
[
"Wang",
"Fei",
""
],
[
"Yang"... | Abstruse learning algorithms and complex datasets increasingly characterize modern clinical decision support systems (CDSS). As a result, clinicians cannot easily or rapidly scrutinize the CDSS recommendation when facing a difficult diagnosis or treatment decision in practice. Over-trust or under-trust are frequent. Pr... |
2208.10472 | Mark Presten | Mark Presten, Rishi Parikh, Shrey Aeron, Sandeep Mukherjee, Simeon
Adebola, Satvik Sharma, Mark Theis, Walter Teitelbaum, and Ken Goldberg | Automated Pruning of Polyculture Plants | CASE 2022, 8 pages. arXiv admin note: substantial text overlap with
arXiv:2111.06014 | null | null | null | cs.RO cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Polyculture farming has environmental advantages but requires substantially
more pruning than monoculture farming. We present novel hardware and algorithms
for automated pruning. Using an overhead camera to collect data from a physical
scale garden testbed, the autonomous system utilizes a learned Plant
Phenotyping c... | [
{
"created": "Mon, 22 Aug 2022 17:49:22 GMT",
"version": "v1"
}
] | 2022-08-23 | [
[
"Presten",
"Mark",
""
],
[
"Parikh",
"Rishi",
""
],
[
"Aeron",
"Shrey",
""
],
[
"Mukherjee",
"Sandeep",
""
],
[
"Adebola",
"Simeon",
""
],
[
"Sharma",
"Satvik",
""
],
[
"Theis",
"Mark",
""
],
[
"Tei... | Polyculture farming has environmental advantages but requires substantially more pruning than monoculture farming. We present novel hardware and algorithms for automated pruning. Using an overhead camera to collect data from a physical scale garden testbed, the autonomous system utilizes a learned Plant Phenotyping con... |
1812.10729 | Olga Gadyatskaya | Aleksandr Pilgun, Olga Gadyatskaya, Stanislav Dashevskyi, Yury
Zhauniarovich and Artsiom Kushniarou | Fine-grained Code Coverage Measurement in Automated Black-box Android
Testing | null | null | null | null | cs.CR cs.SE | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Today, there are millions of third-party Android applications. Some of these
applications are buggy or even malicious. To identify such applications, novel
frameworks for automated black-box testing and dynamic analysis are being
developed by the Android community, including Google. Code coverage is one of
the most c... | [
{
"created": "Thu, 27 Dec 2018 14:20:42 GMT",
"version": "v1"
}
] | 2018-12-31 | [
[
"Pilgun",
"Aleksandr",
""
],
[
"Gadyatskaya",
"Olga",
""
],
[
"Dashevskyi",
"Stanislav",
""
],
[
"Zhauniarovich",
"Yury",
""
],
[
"Kushniarou",
"Artsiom",
""
]
] | Today, there are millions of third-party Android applications. Some of these applications are buggy or even malicious. To identify such applications, novel frameworks for automated black-box testing and dynamic analysis are being developed by the Android community, including Google. Code coverage is one of the most com... |
1904.06447 | Kyle Genova | Kyle Genova, Forrester Cole, Daniel Vlasic, Aaron Sarna, William T.
Freeman, Thomas Funkhouser | Learning Shape Templates with Structured Implicit Functions | 12 pages, 9 figures, 4 tables | null | null | null | cs.CV cs.GR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Template 3D shapes are useful for many tasks in graphics and vision,
including fitting observation data, analyzing shape collections, and
transferring shape attributes. Because of the variety of geometry and topology
of real-world shapes, previous methods generally use a library of hand-made
templates. In this paper,... | [
{
"created": "Fri, 12 Apr 2019 23:15:47 GMT",
"version": "v1"
}
] | 2019-04-16 | [
[
"Genova",
"Kyle",
""
],
[
"Cole",
"Forrester",
""
],
[
"Vlasic",
"Daniel",
""
],
[
"Sarna",
"Aaron",
""
],
[
"Freeman",
"William T.",
""
],
[
"Funkhouser",
"Thomas",
""
]
] | Template 3D shapes are useful for many tasks in graphics and vision, including fitting observation data, analyzing shape collections, and transferring shape attributes. Because of the variety of geometry and topology of real-world shapes, previous methods generally use a library of hand-made templates. In this paper, w... |
1704.00784 | Colin Raffel | Colin Raffel, Minh-Thang Luong, Peter J. Liu, Ron J. Weiss, Douglas
Eck | Online and Linear-Time Attention by Enforcing Monotonic Alignments | ICML camera-ready version; 10 pages + 9 page appendix | null | null | null | cs.LG cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Recurrent neural network models with an attention mechanism have proven to be
extremely effective on a wide variety of sequence-to-sequence problems.
However, the fact that soft attention mechanisms perform a pass over the entire
input sequence when producing each element in the output sequence precludes
their use in... | [
{
"created": "Mon, 3 Apr 2017 19:45:27 GMT",
"version": "v1"
},
{
"created": "Thu, 29 Jun 2017 21:14:58 GMT",
"version": "v2"
}
] | 2017-07-03 | [
[
"Raffel",
"Colin",
""
],
[
"Luong",
"Minh-Thang",
""
],
[
"Liu",
"Peter J.",
""
],
[
"Weiss",
"Ron J.",
""
],
[
"Eck",
"Douglas",
""
]
] | Recurrent neural network models with an attention mechanism have proven to be extremely effective on a wide variety of sequence-to-sequence problems. However, the fact that soft attention mechanisms perform a pass over the entire input sequence when producing each element in the output sequence precludes their use in o... |
2002.10101 | Rongxiang Weng | Rongxiang Weng, Haoran Wei, Shujian Huang, Heng Yu, Lidong Bing,
Weihua Luo, Jiajun Chen | GRET: Global Representation Enhanced Transformer | Accepted by AAAI 2020 | null | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Transformer, based on the encoder-decoder framework, has achieved
state-of-the-art performance on several natural language generation tasks. The
encoder maps the words in the input sentence into a sequence of hidden states,
which are then fed into the decoder to generate the output sentence. These
hidden states usual... | [
{
"created": "Mon, 24 Feb 2020 07:37:17 GMT",
"version": "v1"
}
] | 2020-02-25 | [
[
"Weng",
"Rongxiang",
""
],
[
"Wei",
"Haoran",
""
],
[
"Huang",
"Shujian",
""
],
[
"Yu",
"Heng",
""
],
[
"Bing",
"Lidong",
""
],
[
"Luo",
"Weihua",
""
],
[
"Chen",
"Jiajun",
""
]
] | Transformer, based on the encoder-decoder framework, has achieved state-of-the-art performance on several natural language generation tasks. The encoder maps the words in the input sentence into a sequence of hidden states, which are then fed into the decoder to generate the output sentence. These hidden states usually... |
2206.07511 | Takfarinas Saber | Muhammad Turab and Teerath Kumar and Malika Bendechache and Takfarinas
Saber | Investigating Multi-Feature Selection and Ensembling for Audio
Classification | null | null | null | null | cs.SD cs.LG eess.AS | http://creativecommons.org/licenses/by/4.0/ | Deep Learning (DL) algorithms have shown impressive performance in diverse
domains. Among them, audio has attracted many researchers over the last couple
of decades due to some interesting patterns--particularly in classification of
audio data. For better performance of audio classification, feature selection
and com... | [
{
"created": "Wed, 15 Jun 2022 13:11:08 GMT",
"version": "v1"
}
] | 2022-06-16 | [
[
"Turab",
"Muhammad",
""
],
[
"Kumar",
"Teerath",
""
],
[
"Bendechache",
"Malika",
""
],
[
"Saber",
"Takfarinas",
""
]
] | Deep Learning (DL) algorithms have shown impressive performance in diverse domains. Among them, audio has attracted many researchers over the last couple of decades due to some interesting patterns--particularly in classification of audio data. For better performance of audio classification, feature selection and combi... |
2209.03851 | Vadim Porvatov | Vadim Porvatov, Natalia Semenova | 5q032e@SMM4H'22: Transformer-based classification of premise in tweets
related to COVID-19 | Accepted at SMM4H Workshop of COLING'22 | Mining for Health Applications, Workshop & Shared Task (SMM4H
2022) (p. 108) | null | null | cs.CL cs.AI cs.LG | http://creativecommons.org/licenses/by/4.0/ | Automation of social network data assessment is one of the classic challenges
of natural language processing. During the COVID-19 pandemic, mining people's
stances from public messages have become crucial regarding understanding
attitudes towards health orders. In this paper, the authors propose the
predictive model ... | [
{
"created": "Thu, 8 Sep 2022 14:46:28 GMT",
"version": "v1"
},
{
"created": "Sun, 15 Oct 2023 08:42:33 GMT",
"version": "v2"
}
] | 2023-10-18 | [
[
"Porvatov",
"Vadim",
""
],
[
"Semenova",
"Natalia",
""
]
] | Automation of social network data assessment is one of the classic challenges of natural language processing. During the COVID-19 pandemic, mining people's stances from public messages have become crucial regarding understanding attitudes towards health orders. In this paper, the authors propose the predictive model ba... |
2201.03655 | Chhavi Choudhury | Chhavi Choudhury, Ankur Gandhe, Xiaohan Ding, Ivan Bulyko | A Likelihood Ratio based Domain Adaptation Method for E2E Models | Submitted to ICASSP 2022 | null | null | null | cs.CL cs.LG | http://creativecommons.org/licenses/by/4.0/ | End-to-end (E2E) automatic speech recognition models like Recurrent Neural
Networks Transducer (RNN-T) are becoming a popular choice for streaming ASR
applications like voice assistants. While E2E models are very effective at
learning representation of the training data they are trained on, their
accuracy on unseen d... | [
{
"created": "Mon, 10 Jan 2022 21:22:39 GMT",
"version": "v1"
}
] | 2022-01-12 | [
[
"Choudhury",
"Chhavi",
""
],
[
"Gandhe",
"Ankur",
""
],
[
"Ding",
"Xiaohan",
""
],
[
"Bulyko",
"Ivan",
""
]
] | End-to-end (E2E) automatic speech recognition models like Recurrent Neural Networks Transducer (RNN-T) are becoming a popular choice for streaming ASR applications like voice assistants. While E2E models are very effective at learning representation of the training data they are trained on, their accuracy on unseen dom... |
2306.04934 | Jianhong Bai | Jianhong Bai, Zuozhu Liu, Hualiang Wang, Jin Hao, Yang Feng, Huanpeng
Chu, Haoji Hu | On the Effectiveness of Out-of-Distribution Data in Self-Supervised
Long-Tail Learning | null | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Though Self-supervised learning (SSL) has been widely studied as a promising
technique for representation learning, it doesn't generalize well on
long-tailed datasets due to the majority classes dominating the feature space.
Recent work shows that the long-tailed learning performance could be boosted by
sampling extr... | [
{
"created": "Thu, 8 Jun 2023 04:32:10 GMT",
"version": "v1"
},
{
"created": "Wed, 12 Jul 2023 06:20:04 GMT",
"version": "v2"
}
] | 2023-07-13 | [
[
"Bai",
"Jianhong",
""
],
[
"Liu",
"Zuozhu",
""
],
[
"Wang",
"Hualiang",
""
],
[
"Hao",
"Jin",
""
],
[
"Feng",
"Yang",
""
],
[
"Chu",
"Huanpeng",
""
],
[
"Hu",
"Haoji",
""
]
] | Though Self-supervised learning (SSL) has been widely studied as a promising technique for representation learning, it doesn't generalize well on long-tailed datasets due to the majority classes dominating the feature space. Recent work shows that the long-tailed learning performance could be boosted by sampling extra ... |
1603.01820 | Liat Peterfreund | Benny Kimelfeld, Ester Livshits, Liat Peterfreund | Unambiguous Prioritized Repairing of Databases | null | null | null | null | cs.DB | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In its traditional definition, a repair of an inconsistent database is a
consistent database that differs from the inconsistent one in a "minimal way".
Often, repairs are not equally legitimate, as it is desired to prefer one over
another; for example, one fact is regarded more reliable than another, or a
more recent... | [
{
"created": "Sun, 6 Mar 2016 12:44:54 GMT",
"version": "v1"
}
] | 2016-03-08 | [
[
"Kimelfeld",
"Benny",
""
],
[
"Livshits",
"Ester",
""
],
[
"Peterfreund",
"Liat",
""
]
] | In its traditional definition, a repair of an inconsistent database is a consistent database that differs from the inconsistent one in a "minimal way". Often, repairs are not equally legitimate, as it is desired to prefer one over another; for example, one fact is regarded more reliable than another, or a more recent f... |
1706.00493 | Ling Zhang | Ling Zhang, Le Lu, Ronald M. Summers, Electron Kebebew, Jianhua Yao | Personalized Pancreatic Tumor Growth Prediction via Group Learning | null | null | null | null | cs.CV cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Tumor growth prediction, a highly challenging task, has long been viewed as a
mathematical modeling problem, where the tumor growth pattern is personalized
based on imaging and clinical data of a target patient. Though mathematical
models yield promising results, their prediction accuracy may be limited by the
absenc... | [
{
"created": "Thu, 1 Jun 2017 20:57:53 GMT",
"version": "v1"
}
] | 2017-06-05 | [
[
"Zhang",
"Ling",
""
],
[
"Lu",
"Le",
""
],
[
"Summers",
"Ronald M.",
""
],
[
"Kebebew",
"Electron",
""
],
[
"Yao",
"Jianhua",
""
]
] | Tumor growth prediction, a highly challenging task, has long been viewed as a mathematical modeling problem, where the tumor growth pattern is personalized based on imaging and clinical data of a target patient. Though mathematical models yield promising results, their prediction accuracy may be limited by the absence ... |
1406.4518 | Erfan Khaji Mr. | Erfan Khaji, Amin Satlikh Mohammadi | A Heuristic Method to Generate Better Initial Population for
Evolutionary Methods | null | null | null | null | cs.NE | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Initial population plays an important role in heuristic algorithms such as GA
as it help to decrease the time those algorithms need to achieve an acceptable
result. Furthermore, it may influence the quality of the final answer given by
evolutionary algorithms. In this paper, we shall introduce a heuristic method
to g... | [
{
"created": "Sun, 15 Jun 2014 15:20:17 GMT",
"version": "v1"
}
] | 2014-06-19 | [
[
"Khaji",
"Erfan",
""
],
[
"Mohammadi",
"Amin Satlikh",
""
]
] | Initial population plays an important role in heuristic algorithms such as GA as it help to decrease the time those algorithms need to achieve an acceptable result. Furthermore, it may influence the quality of the final answer given by evolutionary algorithms. In this paper, we shall introduce a heuristic method to gen... |
1607.02678 | Wei Li | Wei Li, Farnaz Abtahi, Christina Tsangouri, Zhigang Zhu | Towards an "In-the-Wild" Emotion Dataset Using a Game-based Framework | This paper is accepted at CVPR 2016 Workshop | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In order to create an "in-the-wild" dataset of facial emotions with large
number of balanced samples, this paper proposes a game-based data collection
framework. The framework mainly include three components: a game engine, a game
interface, and a data collection and evaluation module. We use a deep learning
approach... | [
{
"created": "Sun, 10 Jul 2016 02:16:10 GMT",
"version": "v1"
}
] | 2016-07-12 | [
[
"Li",
"Wei",
""
],
[
"Abtahi",
"Farnaz",
""
],
[
"Tsangouri",
"Christina",
""
],
[
"Zhu",
"Zhigang",
""
]
] | In order to create an "in-the-wild" dataset of facial emotions with large number of balanced samples, this paper proposes a game-based data collection framework. The framework mainly include three components: a game engine, a game interface, and a data collection and evaluation module. We use a deep learning approach t... |
1502.06369 | Mostafa Zaman Chowdhury | Mostafa Zaman Chowdhury, Bui Minh Trung, and Yeong Min Jang | Neighbor Cell List Optimization for Femtocell-to-Femtocell Handover in
Dense Femtocellular Networks | International Conference on Ubiquitous and Future Networks (ICUFN),
June 2011, Dalian, China, pp 241-245 | null | null | null | cs.NI | http://creativecommons.org/licenses/by/3.0/ | Dense femtocells are the ultimate goal of the femtocellular network
deployment. Among three types of handovers: femtocell-to-macrocell,
macrocell-to-femtocell, and femtocell-to-femtocell, the latter two are the main
concern for the dense femtocellular network deployment. For these handover
cases, minimum as well appr... | [
{
"created": "Mon, 23 Feb 2015 10:16:30 GMT",
"version": "v1"
}
] | 2015-02-24 | [
[
"Chowdhury",
"Mostafa Zaman",
""
],
[
"Trung",
"Bui Minh",
""
],
[
"Jang",
"Yeong Min",
""
]
] | Dense femtocells are the ultimate goal of the femtocellular network deployment. Among three types of handovers: femtocell-to-macrocell, macrocell-to-femtocell, and femtocell-to-femtocell, the latter two are the main concern for the dense femtocellular network deployment. For these handover cases, minimum as well approp... |
2407.06339 | Hongbo Zhu | Hongbo Zhu, Theodor Wulff, Rahul Singh Maharjan, Jinpei Han and Angelo
Cangelosi | Noise-Free Explanation for Driving Action Prediction | 10 pages, 10 figures | null | null | null | cs.CV cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Although attention mechanisms have achieved considerable progress in
Transformer-based architectures across various Artificial Intelligence (AI)
domains, their inner workings remain to be explored. Existing explainable
methods have different emphases but are rather one-sided. They primarily
analyse the attention mech... | [
{
"created": "Mon, 8 Jul 2024 19:21:24 GMT",
"version": "v1"
}
] | 2024-07-10 | [
[
"Zhu",
"Hongbo",
""
],
[
"Wulff",
"Theodor",
""
],
[
"Maharjan",
"Rahul Singh",
""
],
[
"Han",
"Jinpei",
""
],
[
"Cangelosi",
"Angelo",
""
]
] | Although attention mechanisms have achieved considerable progress in Transformer-based architectures across various Artificial Intelligence (AI) domains, their inner workings remain to be explored. Existing explainable methods have different emphases but are rather one-sided. They primarily analyse the attention mechan... |
2302.12211 | Yichao Du | Yichao Du, Zhirui Zhang, Bingzhe Wu, Lemao Liu, Tong Xu and Enhong
Chen | Federated Nearest Neighbor Machine Translation | ICLR 2023 | null | null | null | cs.CL cs.AI cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | To protect user privacy and meet legal regulations, federated learning (FL)
is attracting significant attention. Training neural machine translation (NMT)
models with traditional FL algorithm (e.g., FedAvg) typically relies on
multi-round model-based interactions. However, it is impractical and
inefficient for machin... | [
{
"created": "Thu, 23 Feb 2023 18:04:07 GMT",
"version": "v1"
}
] | 2023-02-24 | [
[
"Du",
"Yichao",
""
],
[
"Zhang",
"Zhirui",
""
],
[
"Wu",
"Bingzhe",
""
],
[
"Liu",
"Lemao",
""
],
[
"Xu",
"Tong",
""
],
[
"Chen",
"Enhong",
""
]
] | To protect user privacy and meet legal regulations, federated learning (FL) is attracting significant attention. Training neural machine translation (NMT) models with traditional FL algorithm (e.g., FedAvg) typically relies on multi-round model-based interactions. However, it is impractical and inefficient for machine ... |
1901.00885 | Chung Hyuk Park | Hifza Javed, Rachael Burns, Myounghoon Jeon, Ayanna M. Howard, Chung
Hyuk Park | An Interactive Robotic Framework to Facilitate Sensory Experiences for
Children with ASD | 18 pages, 12 figures | null | null | null | cs.RO cs.HC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The diagnosis of Autism Spectrum Disorder (ASD) in children is commonly
accompanied by a diagnosis of sensory processing disorders as well.
Abnormalities are usually reported in multiple sensory processing domains,
showing a higher prevalence of unusual responses, particularly to tactile,
auditory and visual stimuli.... | [
{
"created": "Thu, 3 Jan 2019 19:22:13 GMT",
"version": "v1"
}
] | 2019-01-07 | [
[
"Javed",
"Hifza",
""
],
[
"Burns",
"Rachael",
""
],
[
"Jeon",
"Myounghoon",
""
],
[
"Howard",
"Ayanna M.",
""
],
[
"Park",
"Chung Hyuk",
""
]
] | The diagnosis of Autism Spectrum Disorder (ASD) in children is commonly accompanied by a diagnosis of sensory processing disorders as well. Abnormalities are usually reported in multiple sensory processing domains, showing a higher prevalence of unusual responses, particularly to tactile, auditory and visual stimuli. T... |
1809.03779 | Zenith Purisha | Zenith Purisha, Carl Jidling, Niklas Wahlstr\"om, Simo S\"arkk\"a,
Thomas B. Sch\"on | Probabilistic approach to limited-data computed tomography
reconstruction | null | null | 10.1088/1361-6420/ab2e2a | null | cs.CV cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this work, we consider the inverse problem of reconstructing the internal
structure of an object from limited x-ray projections. We use a Gaussian
process prior to model the target function and estimate its (hyper)parameters
from measured data. In contrast to other established methods, this comes with
the advantag... | [
{
"created": "Tue, 11 Sep 2018 10:16:44 GMT",
"version": "v1"
},
{
"created": "Mon, 25 Feb 2019 09:07:08 GMT",
"version": "v2"
},
{
"created": "Wed, 3 Jul 2019 08:30:06 GMT",
"version": "v3"
}
] | 2019-07-04 | [
[
"Purisha",
"Zenith",
""
],
[
"Jidling",
"Carl",
""
],
[
"Wahlström",
"Niklas",
""
],
[
"Särkkä",
"Simo",
""
],
[
"Schön",
"Thomas B.",
""
]
] | In this work, we consider the inverse problem of reconstructing the internal structure of an object from limited x-ray projections. We use a Gaussian process prior to model the target function and estimate its (hyper)parameters from measured data. In contrast to other established methods, this comes with the advantage ... |
1107.0068 | EPTCS | Francisco Dur\'an (Universidad de M\'alaga), Martin Gogolla
(University of Bremen), Manuel Rold\'an (Universidad de M\'alaga) | Tracing Properties of UML and OCL Models with Maude | In Proceedings AMMSE 2011, arXiv:1106.5962 | EPTCS 56, 2011, pp. 81-97 | 10.4204/EPTCS.56.6 | null | cs.SE cs.LO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The starting point of this paper is a system described in form of a UML class
diagram where system states are characterized by OCL invariants and system
transitions are defined by OCL pre- and postconditions. The aim of our approach
is to assist the developer in learning about the consequences of the described
system... | [
{
"created": "Thu, 30 Jun 2011 21:45:07 GMT",
"version": "v1"
}
] | 2011-07-04 | [
[
"Durán",
"Francisco",
"",
"Universidad de Málaga"
],
[
"Gogolla",
"Martin",
"",
"University of Bremen"
],
[
"Roldán",
"Manuel",
"",
"Universidad de Málaga"
]
] | The starting point of this paper is a system described in form of a UML class diagram where system states are characterized by OCL invariants and system transitions are defined by OCL pre- and postconditions. The aim of our approach is to assist the developer in learning about the consequences of the described system s... |
1904.02148 | Ben Smyth | Ben Smyth | TLS 1.3 for engineers: An exploration of the TLS 1.3 specification and
OpenJDK's Java implementation | null | null | null | null | cs.CR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The Internet delivered in excess of forty terabytes per second in 2017
(Cisco, 2018), and over half of today's Internet traffic is encrypted
(Sandvine, 2018); enabling trade worth trillions of dollars (Statista, 2017).
Yet, the underlying encryption technology is only understood by a select few.
This manuscript broad... | [
{
"created": "Tue, 22 Jan 2019 09:46:00 GMT",
"version": "v1"
},
{
"created": "Wed, 27 May 2020 05:24:27 GMT",
"version": "v2"
},
{
"created": "Thu, 28 May 2020 13:20:47 GMT",
"version": "v3"
},
{
"created": "Wed, 30 Sep 2020 14:28:59 GMT",
"version": "v4"
}
] | 2020-10-02 | [
[
"Smyth",
"Ben",
""
]
] | The Internet delivered in excess of forty terabytes per second in 2017 (Cisco, 2018), and over half of today's Internet traffic is encrypted (Sandvine, 2018); enabling trade worth trillions of dollars (Statista, 2017). Yet, the underlying encryption technology is only understood by a select few. This manuscript broaden... |
2305.19245 | Thu Nguyen-Phuoc | Thu Nguyen-Phuoc, Gabriel Schwartz, Yuting Ye, Stephen Lombardi, Lei
Xiao | AlteredAvatar: Stylizing Dynamic 3D Avatars with Fast Style Adaptation | 10 main pages, 14 figures. Project page:
https://alteredavatar.github.io | null | null | null | cs.CV | http://creativecommons.org/licenses/by/4.0/ | This paper presents a method that can quickly adapt dynamic 3D avatars to
arbitrary text descriptions of novel styles. Among existing approaches for
avatar stylization, direct optimization methods can produce excellent results
for arbitrary styles but they are unpleasantly slow. Furthermore, they require
redoing the ... | [
{
"created": "Tue, 30 May 2023 17:32:12 GMT",
"version": "v1"
}
] | 2023-05-31 | [
[
"Nguyen-Phuoc",
"Thu",
""
],
[
"Schwartz",
"Gabriel",
""
],
[
"Ye",
"Yuting",
""
],
[
"Lombardi",
"Stephen",
""
],
[
"Xiao",
"Lei",
""
]
] | This paper presents a method that can quickly adapt dynamic 3D avatars to arbitrary text descriptions of novel styles. Among existing approaches for avatar stylization, direct optimization methods can produce excellent results for arbitrary styles but they are unpleasantly slow. Furthermore, they require redoing the op... |
2301.03949 | Mengyi Zhao | Mengyi Zhao, Mengyuan Liu, Bin Ren, Shuling Dai, and Nicu Sebe | Modiff: Action-Conditioned 3D Motion Generation with Denoising Diffusion
Probabilistic Models | null | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Diffusion-based generative models have recently emerged as powerful solutions
for high-quality synthesis in multiple domains. Leveraging the bidirectional
Markov chains, diffusion probabilistic models generate samples by inferring the
reversed Markov chain based on the learned distribution mapping at the forward
diff... | [
{
"created": "Tue, 10 Jan 2023 13:15:42 GMT",
"version": "v1"
},
{
"created": "Tue, 28 Mar 2023 08:26:30 GMT",
"version": "v2"
}
] | 2023-03-29 | [
[
"Zhao",
"Mengyi",
""
],
[
"Liu",
"Mengyuan",
""
],
[
"Ren",
"Bin",
""
],
[
"Dai",
"Shuling",
""
],
[
"Sebe",
"Nicu",
""
]
] | Diffusion-based generative models have recently emerged as powerful solutions for high-quality synthesis in multiple domains. Leveraging the bidirectional Markov chains, diffusion probabilistic models generate samples by inferring the reversed Markov chain based on the learned distribution mapping at the forward diffus... |
2402.01443 | Rainer Trauth | Rainer Trauth, Korbinian Moller, Gerald Wuersching, Johannes Betz | FRENETIX: A High-Performance and Modular Motion Planning Framework for
Autonomous Driving | Submitted to IEEE ACCESS | null | 10.1109/ACCESS.2024.3436835 | null | cs.RO | http://creativecommons.org/licenses/by-nc-nd/4.0/ | Our research introduces a modular motion planning framework for autonomous
vehicles using a sampling-based trajectory planning algorithm. This approach
effectively tackles the challenges of solution space construction and
optimization in path planning. The algorithm is applicable to both real
vehicles and simulations... | [
{
"created": "Fri, 2 Feb 2024 14:35:26 GMT",
"version": "v1"
},
{
"created": "Fri, 14 Jun 2024 10:16:09 GMT",
"version": "v2"
}
] | 2024-08-06 | [
[
"Trauth",
"Rainer",
""
],
[
"Moller",
"Korbinian",
""
],
[
"Wuersching",
"Gerald",
""
],
[
"Betz",
"Johannes",
""
]
] | Our research introduces a modular motion planning framework for autonomous vehicles using a sampling-based trajectory planning algorithm. This approach effectively tackles the challenges of solution space construction and optimization in path planning. The algorithm is applicable to both real vehicles and simulations, ... |
2407.11280 | Yiyuan Yang | Yiyuan Yang, Zheshun Wu, Yong Chu, Zhenghua Chen, Zenglin Xu, Qingsong
Wen | Intelligent Cross-Organizational Process Mining: A Survey and New
Perspectives | Under review; 13 pages, 7 figures, 2 tables | null | null | null | cs.AI cs.CE cs.DB cs.LG | http://creativecommons.org/licenses/by/4.0/ | Process mining, as a high-level field in data mining, plays a crucial role in
enhancing operational efficiency and decision-making across organizations. In
this survey paper, we delve into the growing significance and ongoing trends in
the field of process mining, advocating a specific viewpoint on its contents,
appl... | [
{
"created": "Mon, 15 Jul 2024 23:30:34 GMT",
"version": "v1"
}
] | 2024-07-17 | [
[
"Yang",
"Yiyuan",
""
],
[
"Wu",
"Zheshun",
""
],
[
"Chu",
"Yong",
""
],
[
"Chen",
"Zhenghua",
""
],
[
"Xu",
"Zenglin",
""
],
[
"Wen",
"Qingsong",
""
]
] | Process mining, as a high-level field in data mining, plays a crucial role in enhancing operational efficiency and decision-making across organizations. In this survey paper, we delve into the growing significance and ongoing trends in the field of process mining, advocating a specific viewpoint on its contents, applic... |
2306.01064 | Zheng Li | Zheng Li and Francisco Millar-Bilbao | Characterizing the Cloud's Outbound Network Latency: An Experimental and
Modeling Study | null | null | 10.1109/IEEECloudSummit48914.2020.00034 | null | cs.DC cs.PF | http://creativecommons.org/licenses/by-nc-sa/4.0/ | Cloud latency has critical influences on the success of cloud applications.
Therefore, characterizing cloud network performance is crucial for analyzing
and satisfying different latency requirements. By focusing on the cloud's
outbound network latency, this case study on Google App Engine confirms the
necessity of op... | [
{
"created": "Thu, 1 Jun 2023 18:15:05 GMT",
"version": "v1"
}
] | 2023-06-05 | [
[
"Li",
"Zheng",
""
],
[
"Millar-Bilbao",
"Francisco",
""
]
] | Cloud latency has critical influences on the success of cloud applications. Therefore, characterizing cloud network performance is crucial for analyzing and satisfying different latency requirements. By focusing on the cloud's outbound network latency, this case study on Google App Engine confirms the necessity of opti... |
2210.01091 | Sovesh Mohapatra | Sovesh Mohapatra, Somesh Mohapatra | The (In)Effectiveness of Intermediate Task Training For Domain
Adaptation and Cross-Lingual Transfer Learning | 1 figure, 1 table | null | null | null | cs.CL | http://creativecommons.org/licenses/by/4.0/ | Transfer learning from large language models (LLMs) has emerged as a powerful
technique to enable knowledge-based fine-tuning for a number of tasks,
adaptation of models for different domains and even languages. However, it
remains an open question, if and when transfer learning will work, i.e. leading
to positive or... | [
{
"created": "Mon, 3 Oct 2022 17:17:07 GMT",
"version": "v1"
},
{
"created": "Fri, 4 Nov 2022 23:48:05 GMT",
"version": "v2"
}
] | 2022-11-08 | [
[
"Mohapatra",
"Sovesh",
""
],
[
"Mohapatra",
"Somesh",
""
]
] | Transfer learning from large language models (LLMs) has emerged as a powerful technique to enable knowledge-based fine-tuning for a number of tasks, adaptation of models for different domains and even languages. However, it remains an open question, if and when transfer learning will work, i.e. leading to positive or n... |
1502.01188 | Jimmy Nielsen | Jimmy J. Nielsen, Germ\'an C. Madue\~no, Nuno K. Pratas, Ren\'e B.
S{\o}rensen, \v{C}edomir Stefanovi\'c, Petar Popovski | What Can Wireless Cellular Technologies Do about the Upcoming Smart
Metering Traffic? | Submitted; change: corrected location of eSM box in Fig. 1; May 22,
2015: Major revision after review; v4: revised, accepted for publication | null | 10.1109/MCOM.2015.7263371 | null | cs.IT cs.NI math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The introduction of smart electricity meters with cellular radio interface
puts an additional load on the wireless cellular networks. Currently, these
meters are designed for low duty cycle billing and occasional system check,
which generates a low-rate sporadic traffic. As the number of distributed
energy resources ... | [
{
"created": "Wed, 4 Feb 2015 13:21:06 GMT",
"version": "v1"
},
{
"created": "Mon, 9 Feb 2015 14:41:46 GMT",
"version": "v2"
},
{
"created": "Fri, 22 May 2015 08:21:29 GMT",
"version": "v3"
},
{
"created": "Wed, 1 Jul 2015 12:43:50 GMT",
"version": "v4"
}
] | 2015-09-22 | [
[
"Nielsen",
"Jimmy J.",
""
],
[
"Madueño",
"Germán C.",
""
],
[
"Pratas",
"Nuno K.",
""
],
[
"Sørensen",
"René B.",
""
],
[
"Stefanović",
"Čedomir",
""
],
[
"Popovski",
"Petar",
""
]
] | The introduction of smart electricity meters with cellular radio interface puts an additional load on the wireless cellular networks. Currently, these meters are designed for low duty cycle billing and occasional system check, which generates a low-rate sporadic traffic. As the number of distributed energy resources in... |
2309.09136 | Qiuming Zhao | Qiuming Zhao and Guangzhi Sun and Chao Zhang and Mingxing Xu and
Thomas Fang Zheng | Enhancing Quantised End-to-End ASR Models via Personalisation | 5 pages, submitted to ICASSP 2024 | null | null | null | cs.SD cs.AI eess.AS | http://creativecommons.org/licenses/by/4.0/ | Recent end-to-end automatic speech recognition (ASR) models have become
increasingly larger, making them particularly challenging to be deployed on
resource-constrained devices. Model quantisation is an effective solution that
sometimes causes the word error rate (WER) to increase. In this paper, a novel
strategy of ... | [
{
"created": "Sun, 17 Sep 2023 02:35:21 GMT",
"version": "v1"
}
] | 2023-09-19 | [
[
"Zhao",
"Qiuming",
""
],
[
"Sun",
"Guangzhi",
""
],
[
"Zhang",
"Chao",
""
],
[
"Xu",
"Mingxing",
""
],
[
"Zheng",
"Thomas Fang",
""
]
] | Recent end-to-end automatic speech recognition (ASR) models have become increasingly larger, making them particularly challenging to be deployed on resource-constrained devices. Model quantisation is an effective solution that sometimes causes the word error rate (WER) to increase. In this paper, a novel strategy of pe... |
1711.04450 | Yoshihide Sawada PhD | Yoshihide Sawada, Yoshikuni Sato, Toru Nakada, Kei Ujimoto, and
Nobuhiro Hayashi | All-Transfer Learning for Deep Neural Networks and its Application to
Sepsis Classification | Long version of article published at ECAI 2016 (9 pages, 13 figures,
8 tables) | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this article, we propose a transfer learning method for deep neural
networks (DNNs). Deep learning has been widely used in many applications.
However, applying deep learning is problematic when a large amount of training
data are not available. One of the conventional methods for solving this
problem is transfer l... | [
{
"created": "Mon, 13 Nov 2017 07:28:37 GMT",
"version": "v1"
}
] | 2017-11-15 | [
[
"Sawada",
"Yoshihide",
""
],
[
"Sato",
"Yoshikuni",
""
],
[
"Nakada",
"Toru",
""
],
[
"Ujimoto",
"Kei",
""
],
[
"Hayashi",
"Nobuhiro",
""
]
] | In this article, we propose a transfer learning method for deep neural networks (DNNs). Deep learning has been widely used in many applications. However, applying deep learning is problematic when a large amount of training data are not available. One of the conventional methods for solving this problem is transfer lea... |
2305.16158 | Sohag Kumar Saha | S M Mostaq Hossain, Sohag Kumar Saha, Shampa Banik, Trapa Banik | A New Era of Mobility: Exploring Digital Twin Applications in Autonomous
Vehicular Systems | 7 pages, conference paper, accepted for publication in IEEE AIIoT
2023 conference | IEEE AIIoT 2023 conference | null | paper #1570907205 | cs.NI cs.AI | http://creativecommons.org/licenses/by/4.0/ | Digital Twins (DTs) are virtual representations of physical objects or
processes that can collect information from the real environment to represent,
validate, and replicate the physical twin's present and future behavior. The
DTs are becoming increasingly prevalent in a variety of fields, including
manufacturing, au... | [
{
"created": "Tue, 9 May 2023 06:39:57 GMT",
"version": "v1"
}
] | 2023-05-26 | [
[
"Hossain",
"S M Mostaq",
""
],
[
"Saha",
"Sohag Kumar",
""
],
[
"Banik",
"Shampa",
""
],
[
"Banik",
"Trapa",
""
]
] | Digital Twins (DTs) are virtual representations of physical objects or processes that can collect information from the real environment to represent, validate, and replicate the physical twin's present and future behavior. The DTs are becoming increasingly prevalent in a variety of fields, including manufacturing, auto... |
2207.03391 | Muhammad Umar Farooq | Muhammad Umar Farooq, Darshan Adiga Haniya Narayana, Thomas Hain | Non-Linear Pairwise Language Mappings for Low-Resource Multilingual
Acoustic Model Fusion | Accepted for Interspeech 2022 | null | null | null | cs.CL eess.AS | http://creativecommons.org/licenses/by/4.0/ | Multilingual speech recognition has drawn significant attention as an
effective way to compensate data scarcity for low-resource languages.
End-to-end (e2e) modelling is preferred over conventional hybrid systems,
mainly because of no lexicon requirement. However, hybrid DNN-HMMs still
outperform e2e models in limite... | [
{
"created": "Thu, 7 Jul 2022 15:56:50 GMT",
"version": "v1"
}
] | 2022-07-08 | [
[
"Farooq",
"Muhammad Umar",
""
],
[
"Narayana",
"Darshan Adiga Haniya",
""
],
[
"Hain",
"Thomas",
""
]
] | Multilingual speech recognition has drawn significant attention as an effective way to compensate data scarcity for low-resource languages. End-to-end (e2e) modelling is preferred over conventional hybrid systems, mainly because of no lexicon requirement. However, hybrid DNN-HMMs still outperform e2e models in limited ... |
2306.15226 | Cherie Ho | Eric Chen, Cherie Ho, Mukhtar Maulimov, Chen Wang, Sebastian Scherer | Learning-on-the-Drive: Self-supervised Adaptation of Visual Offroad
Traversability Models | 8 pages | null | null | null | cs.RO | http://creativecommons.org/licenses/by/4.0/ | Autonomous off-road driving requires understanding traversability, which
refers to the suitability of a given terrain to drive over. When offroad
vehicles travel at high speed ($>10m/s$), they need to reason at long-range
($50m$-$100m$) for safe and deliberate navigation. Moreover, vehicles often
operate in new envir... | [
{
"created": "Tue, 27 Jun 2023 05:58:05 GMT",
"version": "v1"
}
] | 2023-06-28 | [
[
"Chen",
"Eric",
""
],
[
"Ho",
"Cherie",
""
],
[
"Maulimov",
"Mukhtar",
""
],
[
"Wang",
"Chen",
""
],
[
"Scherer",
"Sebastian",
""
]
] | Autonomous off-road driving requires understanding traversability, which refers to the suitability of a given terrain to drive over. When offroad vehicles travel at high speed ($>10m/s$), they need to reason at long-range ($50m$-$100m$) for safe and deliberate navigation. Moreover, vehicles often operate in new environ... |
1607.07674 | Kittipong Kittichokechai | Kittipong Kittichokechai, Rafael F. Schaefer, and Giuseppe Caire | Secret Key Generation Through a Relay | An extended version of a paper to be presented at ITW 2016 | null | null | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We consider problems of two-user secret key generation through an
intermediate relay. Each user observes correlated source sequences and
communicates to the relay over rate-limited noiseless links. The relay
processes and broadcasts information to the two users over another rate-limited
link. The users then generate ... | [
{
"created": "Tue, 26 Jul 2016 13:03:16 GMT",
"version": "v1"
}
] | 2016-07-27 | [
[
"Kittichokechai",
"Kittipong",
""
],
[
"Schaefer",
"Rafael F.",
""
],
[
"Caire",
"Giuseppe",
""
]
] | We consider problems of two-user secret key generation through an intermediate relay. Each user observes correlated source sequences and communicates to the relay over rate-limited noiseless links. The relay processes and broadcasts information to the two users over another rate-limited link. The users then generate a ... |
1212.1524 | Ludovic Arnold | Ludovic Arnold and Yann Ollivier | Layer-wise learning of deep generative models | null | null | null | null | cs.NE cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | When using deep, multi-layered architectures to build generative models of
data, it is difficult to train all layers at once. We propose a layer-wise
training procedure admitting a performance guarantee compared to the global
optimum. It is based on an optimistic proxy of future performance, the best
latent marginal.... | [
{
"created": "Fri, 7 Dec 2012 03:14:50 GMT",
"version": "v1"
},
{
"created": "Sat, 16 Feb 2013 13:24:46 GMT",
"version": "v2"
}
] | 2013-02-19 | [
[
"Arnold",
"Ludovic",
""
],
[
"Ollivier",
"Yann",
""
]
] | When using deep, multi-layered architectures to build generative models of data, it is difficult to train all layers at once. We propose a layer-wise training procedure admitting a performance guarantee compared to the global optimum. It is based on an optimistic proxy of future performance, the best latent marginal. W... |
1910.14103 | Nate Merrill | Nathaniel Merrill and Guoquan Huang | CALC2.0: Combining Appearance, Semantic and Geometric Information for
Robust and Efficient Visual Loop Closure | Appears in IROS 2019 | null | null | null | cs.RO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Traditional attempts for loop closure detection typically use hand-crafted
features, relying on geometric and visual information only, whereas more modern
approaches tend to use semantic, appearance or geometric features extracted
from deep convolutional neural networks (CNNs). While these approaches are
successful i... | [
{
"created": "Wed, 30 Oct 2019 19:45:06 GMT",
"version": "v1"
}
] | 2019-11-01 | [
[
"Merrill",
"Nathaniel",
""
],
[
"Huang",
"Guoquan",
""
]
] | Traditional attempts for loop closure detection typically use hand-crafted features, relying on geometric and visual information only, whereas more modern approaches tend to use semantic, appearance or geometric features extracted from deep convolutional neural networks (CNNs). While these approaches are successful in ... |
2402.10247 | Florent Jacquemard | Augustin Bouquillard, Florent Jacquemard (CEDRIC - VERTIGO) | Engraving Oriented Joint Estimation of Pitch Spelling and Local and
Global Keys | International Conference on Technologies for Music Notation and
Representation (TENOR), Apr 2024, Zurich (CH), Switzerland | null | null | null | cs.SD cs.IR eess.AS | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We revisit the problems of pitch spelling and tonality guessing with a new
algorithm for their joint estimation from a MIDI file including information
about the measure boundaries. Our algorithm does not only identify a global key
but also local ones all along the analyzed piece. It uses Dynamic Programming
technique... | [
{
"created": "Thu, 15 Feb 2024 10:28:59 GMT",
"version": "v1"
}
] | 2024-02-19 | [
[
"Bouquillard",
"Augustin",
"",
"CEDRIC - VERTIGO"
],
[
"Jacquemard",
"Florent",
"",
"CEDRIC - VERTIGO"
]
] | We revisit the problems of pitch spelling and tonality guessing with a new algorithm for their joint estimation from a MIDI file including information about the measure boundaries. Our algorithm does not only identify a global key but also local ones all along the analyzed piece. It uses Dynamic Programming techniques ... |
cs/0408019 | Viktor Kuncak | Viktor Kuncak, Martin Rinard | On Generalized Records and Spatial Conjunction in Role Logic | 30 pages. A version appears in SAS 2004 | null | null | MIT CSAIL 942 | cs.PL cs.LO | null | We have previously introduced role logic as a notation for describing
properties of relational structures in shape analysis, databases and knowledge
bases. A natural fragment of role logic corresponds to two-variable logic with
counting and is therefore decidable. We show how to use role logic to describe
open and cl... | [
{
"created": "Thu, 5 Aug 2004 23:25:20 GMT",
"version": "v1"
}
] | 2007-05-23 | [
[
"Kuncak",
"Viktor",
""
],
[
"Rinard",
"Martin",
""
]
] | We have previously introduced role logic as a notation for describing properties of relational structures in shape analysis, databases and knowledge bases. A natural fragment of role logic corresponds to two-variable logic with counting and is therefore decidable. We show how to use role logic to describe open and clos... |
2011.06776 | Sung Eun Kim Dr. | Sung Eun Kim, Hongkyu Yoon, and Jonghyun Lee | Fast and Scalable Earth Texture Synthesis using Spatially Assembled
Generative Adversarial Neural Networks | 17 pages, 11 figures, 2 tables, and a table in Appendix | null | 10.1016/j.jconhyd.2021.103867 | null | cs.CV cs.LG eess.IV physics.flu-dyn | http://creativecommons.org/licenses/by-nc-nd/4.0/ | The earth texture with complex morphological geometry and compositions such
as shale and carbonate rocks, is typically characterized with sparse field
samples because of an expensive and time-consuming characterization process.
Accordingly, generating arbitrary large size of the geological texture with
similar topolo... | [
{
"created": "Fri, 13 Nov 2020 06:18:09 GMT",
"version": "v1"
}
] | 2021-09-15 | [
[
"Kim",
"Sung Eun",
""
],
[
"Yoon",
"Hongkyu",
""
],
[
"Lee",
"Jonghyun",
""
]
] | The earth texture with complex morphological geometry and compositions such as shale and carbonate rocks, is typically characterized with sparse field samples because of an expensive and time-consuming characterization process. Accordingly, generating arbitrary large size of the geological texture with similar topologi... |
1111.3616 | Per Zetterberg | Per Zetterberg and Nima N. Moghadam | An Experimental Investigation of SIMO, MIMO, Interference-Alignment (IA)
and Coordinated Multi-Point (CoMP) | null | null | null | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper we present experimental implementations of interference
alignment (IA) and coordinated multi-point transmission (CoMP). We provide
results for a system with three base-stations and three mobile-stations all
having two antennas. We further employ OFDM modulation, with high-order
constellations, and measu... | [
{
"created": "Tue, 15 Nov 2011 19:38:20 GMT",
"version": "v1"
}
] | 2015-03-19 | [
[
"Zetterberg",
"Per",
""
],
[
"Moghadam",
"Nima N.",
""
]
] | In this paper we present experimental implementations of interference alignment (IA) and coordinated multi-point transmission (CoMP). We provide results for a system with three base-stations and three mobile-stations all having two antennas. We further employ OFDM modulation, with high-order constellations, and measure... |
2212.01924 | Maksym Del | Maksym Del and Mark Fishel | Cross-lingual Similarity of Multilingual Representations Revisited | Accepted at AACL 2022 | AACL-IJCNLP 2022 Volume 1 Long Papers | null | null | cs.CL cs.AI cs.LG | http://creativecommons.org/licenses/by/4.0/ | Related works used indexes like CKA and variants of CCA to measure the
similarity of cross-lingual representations in multilingual language models. In
this paper, we argue that assumptions of CKA/CCA align poorly with one of the
motivating goals of cross-lingual learning analysis, i.e., explaining zero-shot
cross-lin... | [
{
"created": "Sun, 4 Dec 2022 21:02:07 GMT",
"version": "v1"
}
] | 2022-12-06 | [
[
"Del",
"Maksym",
""
],
[
"Fishel",
"Mark",
""
]
] | Related works used indexes like CKA and variants of CCA to measure the similarity of cross-lingual representations in multilingual language models. In this paper, we argue that assumptions of CKA/CCA align poorly with one of the motivating goals of cross-lingual learning analysis, i.e., explaining zero-shot cross-lingu... |
2401.17661 | Idoia Berges | V\'ictor Julio Ram\'irez-Dur\'an, Idoia Berges, Arantza Illarramendi | Towards the implementation of Industry 4.0: A methodology-based approach
oriented to the customer life cycle | Accepted version of paper: V\'ictor Julio Ram\'irez-Dur\'an, Idoia
Berges, Arantza Illarramendi: Towards the implementation of Industry 4.0: A
methodology-based approach oriented to the customer life cycle. Comput. Ind.
126: 103403 (2021). DOI: 10.1016/j.compind.2021.103403 | Comput. Ind. 126: 103403 (2021) | 10.1016/j.compind.2021.103403 | null | cs.SE cs.AI | http://creativecommons.org/licenses/by-nc-nd/4.0/ | Many different worldwide initiatives are promoting the transformation from
machine dominant manufacturing to digital manufacturing. Thus, to achieve a
successful transformation to Industry 4.0 standard, manufacturing enterprises
are required to implement a clear roadmap. However, Small and Medium
Manufacturing Enterp... | [
{
"created": "Wed, 31 Jan 2024 08:31:08 GMT",
"version": "v1"
}
] | 2024-02-01 | [
[
"Ramírez-Durán",
"Víctor Julio",
""
],
[
"Berges",
"Idoia",
""
],
[
"Illarramendi",
"Arantza",
""
]
] | Many different worldwide initiatives are promoting the transformation from machine dominant manufacturing to digital manufacturing. Thus, to achieve a successful transformation to Industry 4.0 standard, manufacturing enterprises are required to implement a clear roadmap. However, Small and Medium Manufacturing Enterpri... |
2206.12921 | Jeong-SIk Lee | Jeong-Sik Lee, Hyun-Chul Choi | Non-Parametric Style Transfer | null | null | null | null | cs.CV | http://creativecommons.org/licenses/by-nc-nd/4.0/ | Recent feed-forward neural methods of arbitrary image style transfer mainly
utilized encoded feature map upto its second-order statistics, i.e., linearly
transformed the encoded feature map of a content image to have the same mean
and variance (or covariance) of a target style feature map. In this work, we
extend the... | [
{
"created": "Sun, 26 Jun 2022 16:34:37 GMT",
"version": "v1"
}
] | 2022-06-28 | [
[
"Lee",
"Jeong-Sik",
""
],
[
"Choi",
"Hyun-Chul",
""
]
] | Recent feed-forward neural methods of arbitrary image style transfer mainly utilized encoded feature map upto its second-order statistics, i.e., linearly transformed the encoded feature map of a content image to have the same mean and variance (or covariance) of a target style feature map. In this work, we extend the s... |
1205.1621 | Yuan Jian | Jian Yuan Wen-Xia Zhang and Zhou-Hai Zhou | An optimal consensus tracking control algorithm for autonomous
underwater vehicles with disturbances | null | null | null | null | cs.RO | http://creativecommons.org/licenses/publicdomain/ | The optimal disturbance rejection control problem is considered for consensus
tracking systems affected by external persistent disturbances and noise.
Optimal estimated values of system states are obtained by recursive filtering
for the multiple autonomous underwater vehicles modeled to multi-agent systems
with Kalma... | [
{
"created": "Tue, 8 May 2012 08:02:53 GMT",
"version": "v1"
}
] | 2012-05-09 | [
[
"Zhang",
"Jian Yuan Wen-Xia",
""
],
[
"Zhou",
"Zhou-Hai",
""
]
] | The optimal disturbance rejection control problem is considered for consensus tracking systems affected by external persistent disturbances and noise. Optimal estimated values of system states are obtained by recursive filtering for the multiple autonomous underwater vehicles modeled to multi-agent systems with Kalman ... |
1102.3822 | Velumailum Mohanaraj | Martin Dyer and Velumailum Mohanaraj | The Iterated Prisoner's Dilemma on a Cycle | 25 pages | null | null | null | cs.GT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Pavlov, a well-known strategy in game theory, has been shown to have some
advantages in the Iterated Prisoner's Dilemma (IPD) game. However, this
strategy can be exploited by inveterate defectors. We modify this strategy to
mitigate the exploitation. We call the resulting strategy Rational Pavlov. This
has a paramete... | [
{
"created": "Fri, 18 Feb 2011 12:39:05 GMT",
"version": "v1"
}
] | 2011-02-21 | [
[
"Dyer",
"Martin",
""
],
[
"Mohanaraj",
"Velumailum",
""
]
] | Pavlov, a well-known strategy in game theory, has been shown to have some advantages in the Iterated Prisoner's Dilemma (IPD) game. However, this strategy can be exploited by inveterate defectors. We modify this strategy to mitigate the exploitation. We call the resulting strategy Rational Pavlov. This has a parameter ... |
2106.06142 | Runtian Zhai | Runtian Zhai, Chen Dan, J. Zico Kolter, Pradeep Ravikumar | DORO: Distributional and Outlier Robust Optimization | ICML 2021. Codes: https://github.com/RuntianZ/doro | null | null | null | cs.LG stat.ML | http://creativecommons.org/licenses/by/4.0/ | Many machine learning tasks involve subpopulation shift where the testing
data distribution is a subpopulation of the training distribution. For such
settings, a line of recent work has proposed the use of a variant of empirical
risk minimization(ERM) known as distributionally robust optimization (DRO). In
this work,... | [
{
"created": "Fri, 11 Jun 2021 02:59:54 GMT",
"version": "v1"
}
] | 2021-06-14 | [
[
"Zhai",
"Runtian",
""
],
[
"Dan",
"Chen",
""
],
[
"Kolter",
"J. Zico",
""
],
[
"Ravikumar",
"Pradeep",
""
]
] | Many machine learning tasks involve subpopulation shift where the testing data distribution is a subpopulation of the training distribution. For such settings, a line of recent work has proposed the use of a variant of empirical risk minimization(ERM) known as distributionally robust optimization (DRO). In this work, w... |
cs/0608108 | Nicolas Brodu | Nicolas Brodu | Spherical Indexing for Neighborhood Queries | 9 pages, 10 figures. The source code is available at
http://nicolas.brodu.free.fr/en/programmation/neighand/index.html | null | null | null | cs.DS cs.CG | null | This is an algorithm for finding neighbors when the objects can freely move
and have no predefined position. The query consists in finding neighbors for a
center location and a given radius. Space is discretized in cubic cells. This
algorithm introduces a direct spherical indexing that gives the list of all
cells mak... | [
{
"created": "Tue, 29 Aug 2006 00:12:55 GMT",
"version": "v1"
}
] | 2007-05-23 | [
[
"Brodu",
"Nicolas",
""
]
] | This is an algorithm for finding neighbors when the objects can freely move and have no predefined position. The query consists in finding neighbors for a center location and a given radius. Space is discretized in cubic cells. This algorithm introduces a direct spherical indexing that gives the list of all cells makin... |
1711.09744 | Clemente Rubio-Manzano | Clemente Rubio-Manzano, Tomas Lermanda Senoceain | How linguistic descriptions of data can help to the teaching-learning
process in higher education, case of study: artificial intelligence | null | Journal of Intelligent & Fuzzy Systems, vol. 37, no. 6, pp.
8397-8415, 2019 | 10.3233/JIFS-190935 | null | cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Artificial Intelligence is a central topic in the computer science
curriculum. From the year 2011 a project-based learning methodology based on
computer games has been designed and implemented into the intelligence
artificial course at the University of the Bio-Bio. The project aims to develop
software-controlled age... | [
{
"created": "Mon, 27 Nov 2017 15:13:53 GMT",
"version": "v1"
},
{
"created": "Sun, 3 Dec 2017 14:00:27 GMT",
"version": "v2"
},
{
"created": "Tue, 30 Jan 2018 20:00:15 GMT",
"version": "v3"
}
] | 2021-01-07 | [
[
"Rubio-Manzano",
"Clemente",
""
],
[
"Senoceain",
"Tomas Lermanda",
""
]
] | Artificial Intelligence is a central topic in the computer science curriculum. From the year 2011 a project-based learning methodology based on computer games has been designed and implemented into the intelligence artificial course at the University of the Bio-Bio. The project aims to develop software-controlled agent... |
2201.13157 | Hugo Penedones | Augusto Peres, Eduardo Dias, Lu\'is Sarmento, Hugo Penedones | Equivariant neural networks for recovery of Hadamard matrices | null | null | null | null | cs.LG cs.DM | http://creativecommons.org/licenses/by-nc-nd/4.0/ | We propose a message passing neural network architecture designed to be
equivariant to column and row permutations of a matrix. We illustrate its
advantages over traditional architectures like multi-layer perceptrons (MLPs),
convolutional neural networks (CNNs) and even Transformers, on the
combinatorial optimization... | [
{
"created": "Mon, 31 Jan 2022 12:07:07 GMT",
"version": "v1"
}
] | 2022-02-01 | [
[
"Peres",
"Augusto",
""
],
[
"Dias",
"Eduardo",
""
],
[
"Sarmento",
"Luís",
""
],
[
"Penedones",
"Hugo",
""
]
] | We propose a message passing neural network architecture designed to be equivariant to column and row permutations of a matrix. We illustrate its advantages over traditional architectures like multi-layer perceptrons (MLPs), convolutional neural networks (CNNs) and even Transformers, on the combinatorial optimization t... |
2311.04813 | Hubert Baniecki | Hubert Baniecki, Maciej Chrabaszcz, Andreas Holzinger, Bastian
Pfeifer, Anna Saranti, Przemyslaw Biecek | Be Careful When Evaluating Explanations Regarding Ground Truth | null | null | null | null | cs.CV cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Evaluating explanations of image classifiers regarding ground truth, e.g.
segmentation masks defined by human perception, primarily evaluates the quality
of the models under consideration rather than the explanation methods
themselves. Driven by this observation, we propose a framework for
$\textit{jointly}$ evaluati... | [
{
"created": "Wed, 8 Nov 2023 16:39:13 GMT",
"version": "v1"
}
] | 2023-11-09 | [
[
"Baniecki",
"Hubert",
""
],
[
"Chrabaszcz",
"Maciej",
""
],
[
"Holzinger",
"Andreas",
""
],
[
"Pfeifer",
"Bastian",
""
],
[
"Saranti",
"Anna",
""
],
[
"Biecek",
"Przemyslaw",
""
]
] | Evaluating explanations of image classifiers regarding ground truth, e.g. segmentation masks defined by human perception, primarily evaluates the quality of the models under consideration rather than the explanation methods themselves. Driven by this observation, we propose a framework for $\textit{jointly}$ evaluating... |
1606.05995 | Manuel Peuster | Manuel Peuster, Holger Karl and Steven van Rossem | MeDICINE: Rapid Prototyping of Production-Ready Network Services in
Multi-PoP Environments | 6 pages, pre-print | null | null | null | cs.NI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Virtualized network services consisting of multiple individual network
functions are already today deployed across multiple sites, so called multi-PoP
(points of presence) environ- ments. This allows to improve service performance
by optimizing its placement in the network. But prototyping and testing of
these comple... | [
{
"created": "Mon, 20 Jun 2016 07:22:12 GMT",
"version": "v1"
},
{
"created": "Thu, 29 Sep 2016 08:09:42 GMT",
"version": "v2"
}
] | 2016-09-30 | [
[
"Peuster",
"Manuel",
""
],
[
"Karl",
"Holger",
""
],
[
"van Rossem",
"Steven",
""
]
] | Virtualized network services consisting of multiple individual network functions are already today deployed across multiple sites, so called multi-PoP (points of presence) environ- ments. This allows to improve service performance by optimizing its placement in the network. But prototyping and testing of these complex ... |
1906.01795 | Ningning Zhao | Ningning Zhao, Nuo Tong, Dan Ruan and Ke Sheng | Fully Automated Pancreas Segmentation with Two-stage 3D Convolutional
Neural Networks | This paper has been accepted by MICCAI 2019 | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Due to the fact that pancreas is an abdominal organ with very large
variations in shape and size, automatic and accurate pancreas segmentation can
be challenging for medical image analysis. In this work, we proposed a fully
automated two stage framework for pancreas segmentation based on convolutional
neural networks... | [
{
"created": "Wed, 5 Jun 2019 02:48:24 GMT",
"version": "v1"
},
{
"created": "Thu, 25 Jul 2019 22:29:47 GMT",
"version": "v2"
}
] | 2019-07-29 | [
[
"Zhao",
"Ningning",
""
],
[
"Tong",
"Nuo",
""
],
[
"Ruan",
"Dan",
""
],
[
"Sheng",
"Ke",
""
]
] | Due to the fact that pancreas is an abdominal organ with very large variations in shape and size, automatic and accurate pancreas segmentation can be challenging for medical image analysis. In this work, we proposed a fully automated two stage framework for pancreas segmentation based on convolutional neural networks (... |
2309.16553 | Yixuan Li | Yixuan Li, Lihan Jiang, Linning Xu, Yuanbo Xiangli, Zhenzhi Wang,
Dahua Lin, Bo Dai | MatrixCity: A Large-scale City Dataset for City-scale Neural Rendering
and Beyond | Accepted to ICCV 2023. Project page:
$\href{https://city-super.github.io/matrixcity/}{this\, https\, URL}$ | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Neural radiance fields (NeRF) and its subsequent variants have led to
remarkable progress in neural rendering. While most of recent neural rendering
works focus on objects and small-scale scenes, developing neural rendering
methods for city-scale scenes is of great potential in many real-world
applications. However, ... | [
{
"created": "Thu, 28 Sep 2023 16:06:02 GMT",
"version": "v1"
}
] | 2023-09-29 | [
[
"Li",
"Yixuan",
""
],
[
"Jiang",
"Lihan",
""
],
[
"Xu",
"Linning",
""
],
[
"Xiangli",
"Yuanbo",
""
],
[
"Wang",
"Zhenzhi",
""
],
[
"Lin",
"Dahua",
""
],
[
"Dai",
"Bo",
""
]
] | Neural radiance fields (NeRF) and its subsequent variants have led to remarkable progress in neural rendering. While most of recent neural rendering works focus on objects and small-scale scenes, developing neural rendering methods for city-scale scenes is of great potential in many real-world applications. However, th... |
2403.15646 | Nandhini Swaminathan | Nandhini Swaminathan, David Danks | Application of the NIST AI Risk Management Framework to Surveillance
Technology | 14 pages, 2 figures | null | null | null | cs.CY cs.AI | http://creativecommons.org/licenses/by/4.0/ | This study offers an in-depth analysis of the application and implications of
the National Institute of Standards and Technology's AI Risk Management
Framework (NIST AI RMF) within the domain of surveillance technologies,
particularly facial recognition technology. Given the inherently high-risk and
consequential nat... | [
{
"created": "Fri, 22 Mar 2024 23:07:11 GMT",
"version": "v1"
}
] | 2024-05-01 | [
[
"Swaminathan",
"Nandhini",
""
],
[
"Danks",
"David",
""
]
] | This study offers an in-depth analysis of the application and implications of the National Institute of Standards and Technology's AI Risk Management Framework (NIST AI RMF) within the domain of surveillance technologies, particularly facial recognition technology. Given the inherently high-risk and consequential natur... |
2401.13460 | Mikayel Samvelyan | Mikayel Samvelyan, Davide Paglieri, Minqi Jiang, Jack Parker-Holder,
Tim Rockt\"aschel | Multi-Agent Diagnostics for Robustness via Illuminated Diversity | null | null | null | null | cs.LG cs.AI cs.MA | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In the rapidly advancing field of multi-agent systems, ensuring robustness in
unfamiliar and adversarial settings is crucial. Notwithstanding their
outstanding performance in familiar environments, these systems often falter in
new situations due to overfitting during the training phase. This is especially
pronounced... | [
{
"created": "Wed, 24 Jan 2024 14:02:09 GMT",
"version": "v1"
},
{
"created": "Thu, 28 Mar 2024 22:24:30 GMT",
"version": "v2"
}
] | 2024-04-01 | [
[
"Samvelyan",
"Mikayel",
""
],
[
"Paglieri",
"Davide",
""
],
[
"Jiang",
"Minqi",
""
],
[
"Parker-Holder",
"Jack",
""
],
[
"Rocktäschel",
"Tim",
""
]
] | In the rapidly advancing field of multi-agent systems, ensuring robustness in unfamiliar and adversarial settings is crucial. Notwithstanding their outstanding performance in familiar environments, these systems often falter in new situations due to overfitting during the training phase. This is especially pronounced i... |
2112.01695 | Xiang Li | Xiang Li, Jinglu Wang, Xiao Li, Yan Lu | Hybrid Instance-aware Temporal Fusion for Online Video Instance
Segmentation | AAAI 2022 | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Recently, transformer-based image segmentation methods have achieved notable
success against previous solutions. While for video domains, how to effectively
model temporal context with the attention of object instances across frames
remains an open problem. In this paper, we propose an online video instance
segmentat... | [
{
"created": "Fri, 3 Dec 2021 03:37:57 GMT",
"version": "v1"
},
{
"created": "Mon, 6 Jun 2022 18:03:08 GMT",
"version": "v2"
}
] | 2022-06-08 | [
[
"Li",
"Xiang",
""
],
[
"Wang",
"Jinglu",
""
],
[
"Li",
"Xiao",
""
],
[
"Lu",
"Yan",
""
]
] | Recently, transformer-based image segmentation methods have achieved notable success against previous solutions. While for video domains, how to effectively model temporal context with the attention of object instances across frames remains an open problem. In this paper, we propose an online video instance segmentatio... |
2208.01876 | Md Shahriar Tasjid | Md Shahriar Tasjid, Ahmed Al Marouf | Leveraging Smartphone Sensors for Detecting Abnormal Gait for Smart
Wearable Mobile Technologies | null | International Journal of Interactive Mobile Technologies (iJIM);
Volume 15 Number 24; Page 167-175; 2021 | 10.3991/ijim.v15i24.25891. | null | cs.HC cs.CV cs.LG | http://creativecommons.org/licenses/by/4.0/ | Walking is one of the most common modes of terrestrial locomotion for humans.
Walking is essential for humans to perform most kinds of daily activities. When
a person walks, there is a pattern in it, and it is known as gait. Gait
analysis is used in sports and healthcare. We can analyze this gait in
different ways, l... | [
{
"created": "Wed, 3 Aug 2022 07:00:16 GMT",
"version": "v1"
}
] | 2022-08-04 | [
[
"Tasjid",
"Md Shahriar",
""
],
[
"Marouf",
"Ahmed Al",
""
]
] | Walking is one of the most common modes of terrestrial locomotion for humans. Walking is essential for humans to perform most kinds of daily activities. When a person walks, there is a pattern in it, and it is known as gait. Gait analysis is used in sports and healthcare. We can analyze this gait in different ways, lik... |
2007.00849 | Haitian Sun | Pat Verga, Haitian Sun, Livio Baldini Soares, William W. Cohen | Facts as Experts: Adaptable and Interpretable Neural Memory over
Symbolic Knowledge | null | null | null | null | cs.CL cs.AI cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Massive language models are the core of modern NLP modeling and have been
shown to encode impressive amounts of commonsense and factual information.
However, that knowledge exists only within the latent parameters of the model,
inaccessible to inspection and interpretation, and even worse, factual
information memoriz... | [
{
"created": "Thu, 2 Jul 2020 03:05:41 GMT",
"version": "v1"
}
] | 2020-07-03 | [
[
"Verga",
"Pat",
""
],
[
"Sun",
"Haitian",
""
],
[
"Soares",
"Livio Baldini",
""
],
[
"Cohen",
"William W.",
""
]
] | Massive language models are the core of modern NLP modeling and have been shown to encode impressive amounts of commonsense and factual information. However, that knowledge exists only within the latent parameters of the model, inaccessible to inspection and interpretation, and even worse, factual information memorized... |
1707.06598 | Navid Rekabsaz | Navid Rekabsaz and Bhaskar Mitra and Mihai Lupu and Allan Hanbury | Toward Incorporation of Relevant Documents in word2vec | Neu-IR Workshop at the ACM Conference on Research and Development in
Information Retrieval (NeuIR-SIGIR 2017) | null | null | null | cs.IR cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Recent advances in neural word embedding provide significant benefit to
various information retrieval tasks. However as shown by recent studies,
adapting the embedding models for the needs of IR tasks can bring considerable
further improvements. The embedding models in general define the term
relatedness by exploitin... | [
{
"created": "Thu, 20 Jul 2017 16:33:48 GMT",
"version": "v1"
},
{
"created": "Wed, 4 Apr 2018 07:36:05 GMT",
"version": "v2"
}
] | 2018-04-05 | [
[
"Rekabsaz",
"Navid",
""
],
[
"Mitra",
"Bhaskar",
""
],
[
"Lupu",
"Mihai",
""
],
[
"Hanbury",
"Allan",
""
]
] | Recent advances in neural word embedding provide significant benefit to various information retrieval tasks. However as shown by recent studies, adapting the embedding models for the needs of IR tasks can bring considerable further improvements. The embedding models in general define the term relatedness by exploiting ... |
2206.03254 | Peng He | Peng He | Demystifying the Global Convergence Puzzle of Learning
Over-parameterized ReLU Nets in Very High Dimensions | null | null | null | null | cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This theoretical paper is devoted to developing a rigorous theory for
demystifying the global convergence phenomenon in a challenging scenario:
learning over-parameterized Rectified Linear Unit (ReLU) nets for very high
dimensional dataset under very mild assumptions. A major ingredient of our
analysis is a fine-grai... | [
{
"created": "Sun, 5 Jun 2022 02:14:21 GMT",
"version": "v1"
}
] | 2022-06-08 | [
[
"He",
"Peng",
""
]
] | This theoretical paper is devoted to developing a rigorous theory for demystifying the global convergence phenomenon in a challenging scenario: learning over-parameterized Rectified Linear Unit (ReLU) nets for very high dimensional dataset under very mild assumptions. A major ingredient of our analysis is a fine-graine... |
2001.11758 | Beno\^it Sohet | Beno\^it Sohet, Yezekael Hayel, Olivier Beaude, and Alban Jeandin | Coupled Charging-and-Driving Incentives Design for Electric Vehicles in
Urban Networks | 11 pages, 8 figures, submitted to IEEE Transactions on Intelligent
Transportation Systems | null | null | null | cs.GT math.OC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Electric Vehicles (EV) impact urban networks both when driving (e.g., noise
and pollution reduction) and charging. For the electrical grid, the flexibility
of EV charging makes it a significant actor in "Demand Response" mechanisms.
Therefore, there is a need to design incentive mechanisms to foster customer
engageme... | [
{
"created": "Fri, 31 Jan 2020 10:42:02 GMT",
"version": "v1"
}
] | 2020-02-03 | [
[
"Sohet",
"Benoît",
""
],
[
"Hayel",
"Yezekael",
""
],
[
"Beaude",
"Olivier",
""
],
[
"Jeandin",
"Alban",
""
]
] | Electric Vehicles (EV) impact urban networks both when driving (e.g., noise and pollution reduction) and charging. For the electrical grid, the flexibility of EV charging makes it a significant actor in "Demand Response" mechanisms. Therefore, there is a need to design incentive mechanisms to foster customer engagement... |
1903.07820 | Purva Tendulkar | Purva Tendulkar, Kalpesh Krishna, Ramprasaath R. Selvaraju, Devi
Parikh | Trick or TReAT: Thematic Reinforcement for Artistic Typography | 9 pages | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | An approach to make text visually appealing and memorable is semantic
reinforcement - the use of visual cues alluding to the context or theme in
which the word is being used to reinforce the message (e.g., Google Doodles).
We present a computational approach for semantic reinforcement called TReAT -
Thematic Reinforc... | [
{
"created": "Tue, 19 Mar 2019 04:08:51 GMT",
"version": "v1"
}
] | 2019-03-20 | [
[
"Tendulkar",
"Purva",
""
],
[
"Krishna",
"Kalpesh",
""
],
[
"Selvaraju",
"Ramprasaath R.",
""
],
[
"Parikh",
"Devi",
""
]
] | An approach to make text visually appealing and memorable is semantic reinforcement - the use of visual cues alluding to the context or theme in which the word is being used to reinforce the message (e.g., Google Doodles). We present a computational approach for semantic reinforcement called TReAT - Thematic Reinforcem... |
2303.15386 | Sadegh Arefizadeh | Sina Arefizadeh, Sadegh Arefizadeh, S. Rasoul Etesami, Sadegh Bolouki | Robustness of Dynamics in Games: A Contraction Mapping Decomposition
Approach | null | null | null | null | cs.GT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | A systematic framework for analyzing dynamical attributes of games has not
been well-studied except for the special class of potential or near-potential
games. In particular, the existing results have shortcomings in determining the
asymptotic behavior of a given dynamic in a designated game. Although there is
a larg... | [
{
"created": "Mon, 27 Mar 2023 16:59:36 GMT",
"version": "v1"
}
] | 2023-03-28 | [
[
"Arefizadeh",
"Sina",
""
],
[
"Arefizadeh",
"Sadegh",
""
],
[
"Etesami",
"S. Rasoul",
""
],
[
"Bolouki",
"Sadegh",
""
]
] | A systematic framework for analyzing dynamical attributes of games has not been well-studied except for the special class of potential or near-potential games. In particular, the existing results have shortcomings in determining the asymptotic behavior of a given dynamic in a designated game. Although there is a large ... |
1412.6334 | Hubert Soyer | Hubert Soyer and Pontus Stenetorp and Akiko Aizawa | Leveraging Monolingual Data for Crosslingual Compositional Word
Representations | null | null | null | null | cs.CL | http://creativecommons.org/licenses/by/4.0/ | In this work, we present a novel neural network based architecture for
inducing compositional crosslingual word representations. Unlike previously
proposed methods, our method fulfills the following three criteria; it
constrains the word-level representations to be compositional, it is capable of
leveraging both bili... | [
{
"created": "Fri, 19 Dec 2014 13:23:35 GMT",
"version": "v1"
},
{
"created": "Thu, 26 Feb 2015 07:44:39 GMT",
"version": "v2"
},
{
"created": "Tue, 31 Mar 2015 08:03:57 GMT",
"version": "v3"
},
{
"created": "Sat, 22 Aug 2015 15:22:26 GMT",
"version": "v4"
}
] | 2015-08-25 | [
[
"Soyer",
"Hubert",
""
],
[
"Stenetorp",
"Pontus",
""
],
[
"Aizawa",
"Akiko",
""
]
] | In this work, we present a novel neural network based architecture for inducing compositional crosslingual word representations. Unlike previously proposed methods, our method fulfills the following three criteria; it constrains the word-level representations to be compositional, it is capable of leveraging both biling... |
2208.09183 | Keonghun Choi | Keong Hun Choi, Jin Woo Kim, Yao Wang, Jong Eun Ha | Improved Image Classification with Token Fusion | null | null | null | null | cs.CV cs.AI | http://creativecommons.org/licenses/by-nc-sa/4.0/ | In this paper, we propose a method using the fusion of CNN and transformer
structure to improve image classification performance. In the case of CNN,
information about a local area on an image can be extracted well, but there is
a limit to the extraction of global information. On the other hand, the
transformer has a... | [
{
"created": "Fri, 19 Aug 2022 07:02:50 GMT",
"version": "v1"
}
] | 2022-08-22 | [
[
"Choi",
"Keong Hun",
""
],
[
"Kim",
"Jin Woo",
""
],
[
"Wang",
"Yao",
""
],
[
"Ha",
"Jong Eun",
""
]
] | In this paper, we propose a method using the fusion of CNN and transformer structure to improve image classification performance. In the case of CNN, information about a local area on an image can be extracted well, but there is a limit to the extraction of global information. On the other hand, the transformer has an ... |
1307.3164 | David Coyle Dr | David Coyle and Gavin Doherty | Supporting Therapeutic Relationships and Communication about Mental
Health | 4 pages. Presented at the ACM CHI 2013 workshop on Patient-Clinician
Communication | null | null | null | cs.HC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Effective communication and strong therapeutic relationships are critical to
successful mental health interventions. For example, in 1957 Carl Rogers, a
pioneer of person-centred therapy, proposed that an empowering relationship
could, in and of itself, create the necessary and sufficient conditions for
positive ther... | [
{
"created": "Thu, 11 Jul 2013 16:27:33 GMT",
"version": "v1"
}
] | 2013-07-12 | [
[
"Coyle",
"David",
""
],
[
"Doherty",
"Gavin",
""
]
] | Effective communication and strong therapeutic relationships are critical to successful mental health interventions. For example, in 1957 Carl Rogers, a pioneer of person-centred therapy, proposed that an empowering relationship could, in and of itself, create the necessary and sufficient conditions for positive therap... |
2405.00244 | Yong Shu | Yong Shu, Liquan Shen, Xiangyu Hu, Mengyao Li, Zihao Zhou | Towards Real-World HDR Video Reconstruction: A Large-Scale Benchmark
Dataset and A Two-Stage Alignment Network | This paper has been accepted by CVPR 2024 | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | As an important and practical way to obtain high dynamic range (HDR) video,
HDR video reconstruction from sequences with alternating exposures is still
less explored, mainly due to the lack of large-scale real-world datasets.
Existing methods are mostly trained on synthetic datasets, which perform poorly
in real scen... | [
{
"created": "Tue, 30 Apr 2024 23:29:26 GMT",
"version": "v1"
}
] | 2024-05-02 | [
[
"Shu",
"Yong",
""
],
[
"Shen",
"Liquan",
""
],
[
"Hu",
"Xiangyu",
""
],
[
"Li",
"Mengyao",
""
],
[
"Zhou",
"Zihao",
""
]
] | As an important and practical way to obtain high dynamic range (HDR) video, HDR video reconstruction from sequences with alternating exposures is still less explored, mainly due to the lack of large-scale real-world datasets. Existing methods are mostly trained on synthetic datasets, which perform poorly in real scenes... |
2308.13474 | Prasita Mukherjee | Prasita Mukherjee and Haoteng Yin | OCTAL: Graph Representation Learning for LTL Model Checking | arXiv admin note: substantial text overlap with arXiv:2207.11649 | null | null | null | cs.LO cs.AI cs.SE | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Model Checking is widely applied in verifying the correctness of complex and
concurrent systems against a specification. Pure symbolic approaches while
popular, suffer from the state space explosion problem due to cross product
operations required that make them prohibitively expensive for large-scale
systems and/or ... | [
{
"created": "Sat, 19 Aug 2023 15:11:18 GMT",
"version": "v1"
}
] | 2023-08-28 | [
[
"Mukherjee",
"Prasita",
""
],
[
"Yin",
"Haoteng",
""
]
] | Model Checking is widely applied in verifying the correctness of complex and concurrent systems against a specification. Pure symbolic approaches while popular, suffer from the state space explosion problem due to cross product operations required that make them prohibitively expensive for large-scale systems and/or sp... |
2202.06913 | Huaduo Wang | Huaduo Wang, Farhad Shakerin and Gopal Gupta | FOLD-RM: A Scalable, Efficient, and Explainable Inductive Learning
Algorithm for Multi-Category Classification of Mixed Data | Paper presented at the 38th International Conference on Logic
Programming (ICLP 2022), 16 pages | null | null | null | cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | FOLD-RM is an automated inductive learning algorithm for learning default
rules for mixed (numerical and categorical) data. It generates an (explainable)
answer set programming (ASP) rule set for multi-category classification tasks
while maintaining efficiency and scalability. The FOLD-RM algorithm is
competitive in ... | [
{
"created": "Mon, 14 Feb 2022 18:07:54 GMT",
"version": "v1"
},
{
"created": "Fri, 25 Feb 2022 22:46:16 GMT",
"version": "v2"
},
{
"created": "Sun, 15 May 2022 18:59:07 GMT",
"version": "v3"
}
] | 2022-05-17 | [
[
"Wang",
"Huaduo",
""
],
[
"Shakerin",
"Farhad",
""
],
[
"Gupta",
"Gopal",
""
]
] | FOLD-RM is an automated inductive learning algorithm for learning default rules for mixed (numerical and categorical) data. It generates an (explainable) answer set programming (ASP) rule set for multi-category classification tasks while maintaining efficiency and scalability. The FOLD-RM algorithm is competitive in pe... |
1908.08338 | Tania Panayiotou | Tania Panayiotou, Giannis Savva, Ioannis Tomkos, Georgios Ellinas | Centralized and Distributed Machine Learning-Based QoT Estimation for
Sliceable Optical Networks | accepted for presentation at the IEEE GLOBECOM 2019 | null | 10.1109/GLOBECOM38437.2019.9013962 | null | cs.NI cs.LG eess.SP | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Dynamic network slicing has emerged as a promising and fundamental framework
for meeting 5G's diverse use cases. As machine learning (ML) is expected to
play a pivotal role in the efficient control and management of these networks,
in this work we examine the ML-based Quality-of-Transmission (QoT) estimation
problem ... | [
{
"created": "Thu, 22 Aug 2019 12:38:54 GMT",
"version": "v1"
},
{
"created": "Fri, 27 Sep 2019 11:22:57 GMT",
"version": "v2"
}
] | 2022-11-04 | [
[
"Panayiotou",
"Tania",
""
],
[
"Savva",
"Giannis",
""
],
[
"Tomkos",
"Ioannis",
""
],
[
"Ellinas",
"Georgios",
""
]
] | Dynamic network slicing has emerged as a promising and fundamental framework for meeting 5G's diverse use cases. As machine learning (ML) is expected to play a pivotal role in the efficient control and management of these networks, in this work we examine the ML-based Quality-of-Transmission (QoT) estimation problem un... |
2306.07542 | Xianliang Yang | Xianliang Yang, Zhihao Liu, Wei Jiang, Chuheng Zhang, Li Zhao, Lei
Song, Jiang Bian | A Versatile Multi-Agent Reinforcement Learning Benchmark for Inventory
Management | null | null | null | null | cs.AI | http://creativecommons.org/licenses/by/4.0/ | Multi-agent reinforcement learning (MARL) models multiple agents that
interact and learn within a shared environment. This paradigm is applicable to
various industrial scenarios such as autonomous driving, quantitative trading,
and inventory management. However, applying MARL to these real-world scenarios
is impeded ... | [
{
"created": "Tue, 13 Jun 2023 05:22:30 GMT",
"version": "v1"
}
] | 2023-06-14 | [
[
"Yang",
"Xianliang",
""
],
[
"Liu",
"Zhihao",
""
],
[
"Jiang",
"Wei",
""
],
[
"Zhang",
"Chuheng",
""
],
[
"Zhao",
"Li",
""
],
[
"Song",
"Lei",
""
],
[
"Bian",
"Jiang",
""
]
] | Multi-agent reinforcement learning (MARL) models multiple agents that interact and learn within a shared environment. This paradigm is applicable to various industrial scenarios such as autonomous driving, quantitative trading, and inventory management. However, applying MARL to these real-world scenarios is impeded by... |
1702.07914 | Andreas Brandstadt | Andreas Brandst\"adt and Raffaele Mosca | On Chordal-$k$-Generalized Split Graphs | arXiv admin note: text overlap with arXiv:1701.03414 | null | null | null | cs.DM | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | A graph $G$ is a {\em chordal-$k$-generalized split graph} if $G$ is chordal
and there is a clique $Q$ in $G$ such that every connected component in $G[V
\setminus Q]$ has at most $k$ vertices. Thus, chordal-$1$-generalized split
graphs are exactly the split graphs.
We characterize chordal-$k$-generalized split gra... | [
{
"created": "Sat, 25 Feb 2017 16:08:26 GMT",
"version": "v1"
},
{
"created": "Mon, 6 Mar 2017 15:35:30 GMT",
"version": "v2"
},
{
"created": "Thu, 27 Apr 2017 08:57:31 GMT",
"version": "v3"
}
] | 2017-04-28 | [
[
"Brandstädt",
"Andreas",
""
],
[
"Mosca",
"Raffaele",
""
]
] | A graph $G$ is a {\em chordal-$k$-generalized split graph} if $G$ is chordal and there is a clique $Q$ in $G$ such that every connected component in $G[V \setminus Q]$ has at most $k$ vertices. Thus, chordal-$1$-generalized split graphs are exactly the split graphs. We characterize chordal-$k$-generalized split graphs ... |
1511.02308 | S Raja | V. Arvind, S. Raja | Some Lower Bound Results for Set-Multilinear Arithmetic Computations | null | null | null | null | cs.CC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper, we study the structure of set-multilinear arithmetic circuits
and set-multilinear branching programs with the aim of showing lower bound
results. We define some natural restrictions of these models for which we are
able to show lower bound results. Some of our results extend existing lower
bounds, whil... | [
{
"created": "Sat, 7 Nov 2015 05:56:57 GMT",
"version": "v1"
}
] | 2015-11-10 | [
[
"Arvind",
"V.",
""
],
[
"Raja",
"S.",
""
]
] | In this paper, we study the structure of set-multilinear arithmetic circuits and set-multilinear branching programs with the aim of showing lower bound results. We define some natural restrictions of these models for which we are able to show lower bound results. Some of our results extend existing lower bounds, while ... |
2310.13992 | Abbas Edalat | S\'ebastien Huot and Abbas Edalat | Pure Bayesian Nash equilibrium for Bayesian games with multidimensional
vector Types and linear payoffs | null | null | null | null | cs.GT | http://creativecommons.org/licenses/by/4.0/ | We study $n$-agent Bayesian Games with $m$-dimensional vector types and
linear payoffs, also called Linear Multidimensional Bayesian Games. This class
of games is equivalent with $n$-agent, $m$-game Uniform Multigames. We
distinguish between games that have a discrete type space and those with a
continuous type space... | [
{
"created": "Sat, 21 Oct 2023 12:37:18 GMT",
"version": "v1"
}
] | 2023-10-24 | [
[
"Huot",
"Sébastien",
""
],
[
"Edalat",
"Abbas",
""
]
] | We study $n$-agent Bayesian Games with $m$-dimensional vector types and linear payoffs, also called Linear Multidimensional Bayesian Games. This class of games is equivalent with $n$-agent, $m$-game Uniform Multigames. We distinguish between games that have a discrete type space and those with a continuous type space. ... |
2206.05262 | Brandon Amos | Brandon Amos, Samuel Cohen, Giulia Luise, Ievgen Redko | Meta Optimal Transport | ICML 2023 | null | null | null | cs.LG cs.AI stat.ML | http://creativecommons.org/licenses/by/4.0/ | We study the use of amortized optimization to predict optimal transport (OT)
maps from the input measures, which we call Meta OT. This helps repeatedly
solve similar OT problems between different measures by leveraging the
knowledge and information present from past problems to rapidly predict and
solve new problems.... | [
{
"created": "Fri, 10 Jun 2022 17:59:07 GMT",
"version": "v1"
},
{
"created": "Fri, 2 Jun 2023 21:45:43 GMT",
"version": "v2"
}
] | 2023-06-06 | [
[
"Amos",
"Brandon",
""
],
[
"Cohen",
"Samuel",
""
],
[
"Luise",
"Giulia",
""
],
[
"Redko",
"Ievgen",
""
]
] | We study the use of amortized optimization to predict optimal transport (OT) maps from the input measures, which we call Meta OT. This helps repeatedly solve similar OT problems between different measures by leveraging the knowledge and information present from past problems to rapidly predict and solve new problems. O... |
2403.03993 | Antonios Valkanas | Antonios Valkanas, Yuening Wang, Yingxue Zhang, Mark Coates | Personalized Negative Reservoir for Incremental Learning in Recommender
Systems | null | null | null | null | cs.IR cs.AI | http://creativecommons.org/licenses/by-nc-nd/4.0/ | Recommender systems have become an integral part of online platforms. Every
day the volume of training data is expanding and the number of user
interactions is constantly increasing. The exploration of larger and more
expressive models has become a necessary pursuit to improve user experience.
However, this progressi... | [
{
"created": "Wed, 6 Mar 2024 19:08:28 GMT",
"version": "v1"
}
] | 2024-03-08 | [
[
"Valkanas",
"Antonios",
""
],
[
"Wang",
"Yuening",
""
],
[
"Zhang",
"Yingxue",
""
],
[
"Coates",
"Mark",
""
]
] | Recommender systems have become an integral part of online platforms. Every day the volume of training data is expanding and the number of user interactions is constantly increasing. The exploration of larger and more expressive models has become a necessary pursuit to improve user experience. However, this progression... |
2104.01214 | Inon Peled | Frederik Boe H\"uttel, Inon Peled, Filipe Rodrigues, Francisco C.
Pereira | Modeling Censored Mobility Demand through Quantile Regression Neural
Networks | 13 pages, 9 figures, 5 tables | null | null | null | cs.LG math.OC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Shared mobility services require accurate demand models for effective service
planning. On the one hand, modeling the full probability distribution of demand
is advantageous because the entire uncertainty structure preserves valuable
information for decision-making. On the other hand, demand is often observed
through... | [
{
"created": "Fri, 2 Apr 2021 19:24:15 GMT",
"version": "v1"
},
{
"created": "Sat, 9 Jul 2022 10:31:31 GMT",
"version": "v2"
}
] | 2022-07-12 | [
[
"Hüttel",
"Frederik Boe",
""
],
[
"Peled",
"Inon",
""
],
[
"Rodrigues",
"Filipe",
""
],
[
"Pereira",
"Francisco C.",
""
]
] | Shared mobility services require accurate demand models for effective service planning. On the one hand, modeling the full probability distribution of demand is advantageous because the entire uncertainty structure preserves valuable information for decision-making. On the other hand, demand is often observed through t... |
1610.03013 | Weinan Zhang | Jun Wang, Weinan Zhang, Shuai Yuan | Display Advertising with Real-Time Bidding (RTB) and Behavioural
Targeting | A 122-page monograph about RTB display advertising, which will be
published on Now Publisher in July 2017 | null | null | null | cs.GT | http://creativecommons.org/licenses/by/4.0/ | The most significant progress in recent years in online display advertising
is what is known as the Real-Time Bidding (RTB) mechanism to buy and sell ads.
RTB essentially facilitates buying an individual ad impression in real time
while it is still being generated from a user's visit. RTB not only scales up
the buyin... | [
{
"created": "Fri, 7 Oct 2016 16:12:28 GMT",
"version": "v1"
},
{
"created": "Sat, 15 Jul 2017 17:38:36 GMT",
"version": "v2"
}
] | 2017-07-18 | [
[
"Wang",
"Jun",
""
],
[
"Zhang",
"Weinan",
""
],
[
"Yuan",
"Shuai",
""
]
] | The most significant progress in recent years in online display advertising is what is known as the Real-Time Bidding (RTB) mechanism to buy and sell ads. RTB essentially facilitates buying an individual ad impression in real time while it is still being generated from a user's visit. RTB not only scales up the buying ... |
2202.01375 | Peiying Zhang | Peiying Zhang, Chao Wang, Chunxiao Jiang, Neeraj Kumar, and Qinghua Lu | Resource Management and Security Scheme of ICPSs and IoT Based on VNE
Algorithm | null | null | null | null | cs.CR cs.LG cs.NI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The development of Intelligent Cyber-Physical Systems (ICPSs) in virtual
network environment is facing severe challenges. On the one hand, the Internet
of things (IoT) based on ICPSs construction needs a large amount of reasonable
network resources support. On the other hand, ICPSs are facing severe network
security ... | [
{
"created": "Thu, 3 Feb 2022 02:27:20 GMT",
"version": "v1"
}
] | 2022-02-04 | [
[
"Zhang",
"Peiying",
""
],
[
"Wang",
"Chao",
""
],
[
"Jiang",
"Chunxiao",
""
],
[
"Kumar",
"Neeraj",
""
],
[
"Lu",
"Qinghua",
""
]
] | The development of Intelligent Cyber-Physical Systems (ICPSs) in virtual network environment is facing severe challenges. On the one hand, the Internet of things (IoT) based on ICPSs construction needs a large amount of reasonable network resources support. On the other hand, ICPSs are facing severe network security pr... |
1202.6668 | Bruno Bauwens | Bruno Bauwens, Alexander Shen | Complexity of complexity and strings with maximal plain and prefix
Kolmogorov complexity | 13 pages, 1 figure | null | null | null | cs.CC | http://creativecommons.org/licenses/by/3.0/ | Peter Gacs showed (Gacs 1974) that for every n there exists a bit string x of
length n whose plain complexity C(x) has almost maximal conditional complexity
relative to x, i.e., C(C(x)|x) > log n - log^(2) n - O(1). (Here log^(2) i =
log log i.) Following Elena Kalinina (Kalinina 2011), we provide a simple
game-based... | [
{
"created": "Wed, 29 Feb 2012 20:09:17 GMT",
"version": "v1"
},
{
"created": "Fri, 3 May 2013 15:54:59 GMT",
"version": "v2"
}
] | 2013-05-06 | [
[
"Bauwens",
"Bruno",
""
],
[
"Shen",
"Alexander",
""
]
] | Peter Gacs showed (Gacs 1974) that for every n there exists a bit string x of length n whose plain complexity C(x) has almost maximal conditional complexity relative to x, i.e., C(C(x)|x) > log n - log^(2) n - O(1). (Here log^(2) i = log log i.) Following Elena Kalinina (Kalinina 2011), we provide a simple game-based p... |
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