text stringlengths 27 153 | label stringlengths 27 153 | id int64 0 40k |
|---|---|---|
on Many two following the hypotheses. rely | Many rely on the following two hypotheses. | 15,000 |
each are other. nefarious not or of divisions independently Cell | Cell divisions are nefarious or not independently of each other. | 15,001 |
type The Boolean mathematical is considered that model of networks. | The mathematical model type considered is that of Boolean networks. | 15,002 |
practical This role data. play significant sequential in an important has time-series to implications representing | This has significant implications to play an important role in representing practical time-series sequential data. | 15,003 |
data eventually an and sequential provides retrieval. This efficient flexible | This eventually provides an efficient and flexible sequential data retrieval. | 15,004 |
to the in of each the HLA peptides The determined. affinity relevant was binding pair | The binding affinity of the peptides to the relevant HLA in each pair was determined. | 15,005 |
introduce novel the a the problem of photographer We identifying behind photograph. | We introduce the novel problem of identifying the photographer behind a photograph. | 15,006 |
a network deep new neural this convolutional task. also trained We for | We also trained a new deep convolutional neural network for this task. | 15,007 |
Our outperform features. features greatly high-level show results low-level that | Our results show that high-level features greatly outperform low-level features. | 15,008 |
applications method. We two demonstrate our also of | We also demonstrate two applications of our method. | 15,009 |
Moreover, present filtering. outlier novel for we enhancements | Moreover, we present novel enhancements for outlier filtering. | 15,010 |
the EpicFlow MPI-Sintel, significantly KITTI on outperform Middlebury. original and We | We significantly outperform the original EpicFlow on MPI-Sintel, KITTI and Middlebury. | 15,011 |
with model The carrying the basic emergent system is competition Lotka-Volterra capacities. | The basic model is the Lotka-Volterra competition system with emergent carrying capacities. | 15,012 |
invasion used for are of numerical The phenomena. latter study the | The latter are used for the numerical study of invasion phenomena. | 15,013 |
is the learning employed LAA thrombi solve Multiple-instance detection. method (MIL) to | Multiple-instance learning (MIL) method is employed to solve the LAA thrombi detection. | 15,014 |
importance. is an vital insight Enhancement human get of information to of content to vision | Enhancement of human vision to get an insight to information content is of vital importance. | 15,015 |
study handles the showed present efficiently Results method the of the noise amplification. proposed that | Results of the present study showed that the proposed method efficiently handles the noise amplification. | 15,016 |
image. targeted it preserves Further, brightness the also by look natural of retaining | Further, it also preserves the brightness by retaining natural look of targeted image. | 15,017 |
wildlife protected establishment an for conservation. or tool become has The important areas of parks | The establishment of protected areas or parks has become an important tool for wildlife conservation. | 15,018 |
crop-raiding as effective hunting is of mesopredators Human only occurs it during less excursions. | Human hunting of mesopredators is less effective as it only occurs during crop-raiding excursions. | 15,019 |
way, is segmentation achieved. In result this road a homogenous | In this way, a homogenous road segmentation result is achieved. | 15,020 |
discontinuous road This also smooth road method centerlines. centerlines, the connects but extracts not only | This method not only extracts smooth road centerlines, but also connects the discontinuous road centerlines. | 15,021 |
can As get network. we road a a centerline result, complete | As a result, we can get a complete road centerline network. | 15,022 |
simulation was to methods. The leave-one-out strategy different compare used | The leave-one-out strategy was used to compare different simulation methods. | 15,023 |
of same a set dominant with monomials class. or equilibrations the define Tropical equivalence branch | Tropical equilibrations with the same set of dominant monomials define a branch or equivalence class. | 15,024 |
the interesting branches Minimal reaction network. states are simplest they particularly describe as the of | Minimal branches are particularly interesting as they describe the simplest states of the reaction network. | 15,025 |
data. two applications The real methodological illustrated are to with novelties | The methodological novelties are illustrated with two applications to real data. | 15,026 |
complex Performing in of brains. typical a parallel tasks is more feature | Performing more tasks in parallel is a typical feature of complex brains. | 15,027 |
parallel Boolean networks. more of neuronal we investigate Here rules learning in | Here we investigate parallel learning of more Boolean rules in neuronal networks. | 15,028 |
The is i.e. protein its function, sequence length a determined of by Background: largely | Background: The length of a protein sequence is largely determined by its function, i.e. | 15,029 |
size. functional each with optimal group associated an is | each functional group is associated with an optimal size. | 15,030 |
comparative length revealed by that be factors. However, genomics additional proteins may affected | However, comparative genomics revealed that proteins length may be affected by additional factors. | 15,031 |
genomes. and all in length As distributions have the different HHPs strikingly almost ORFans expected, | As expected, the HHPs and ORFans have strikingly different length distributions in almost all genomes. | 15,032 |
genomes about thirty do rules. these obey not However, | However, about thirty genomes do not obey these rules. | 15,033 |
distributions also have genomes that showed We Mycoplasmataceae lengths. distinctive of ORFans | We also showed that Mycoplasmataceae genomes have distinctive distributions of ORFans lengths. | 15,034 |
possible We several of phenomenon. offer this biological explanations | We offer several possible biological explanations of this phenomenon. | 15,035 |
is secondary RNA compute that It follows conformational structure to entropy. state-of-the-art RNAentropy software | It follows that RNAentropy is state-of-the-art software to compute RNA secondary structure conformational entropy. | 15,036 |
interesting motivation. an weighted (DWD) classifier margin-based Distance with geometric is discrimination a | Distance weighted discrimination (DWD) is a margin-based classifier with an interesting geometric motivation. | 15,037 |
faults techniques identifying for on of rely Classical testing. the development acoustic | Classical techniques for identifying the development of faults rely on acoustic testing. | 15,038 |
different materials long. testing since carried been for destructive out has Non | Non destructive testing has been carried out for different materials since long. | 15,039 |
two each model representative sets are computed For parameters. with of solutions | For each model solutions are computed with two representative sets of parameters. | 15,040 |
phase plane and supports these model first bifurcation findings. analysis a the For | For the first model a bifurcation and phase plane analysis supports these findings. | 15,041 |
an Bayesian algorithmic i.e. On abstract, nonlinear level, filtering, | On an abstract, algorithmic level, nonlinear Bayesian filtering, i.e. | 15,042 |
three show outperform on results methods. experimental state-of-the-art benchmark methods hashing the datasets The proposed | The experimental results on three benchmark datasets show the proposed methods outperform state-of-the-art hashing methods. | 15,043 |
is most of active biologically regularly consumed widely one substances. the Caffeine (CAF) and | Caffeine (CAF) is one of the most widely and regularly consumed biologically active substances. | 15,044 |
at to The concentrations target refers principal receptors. adenosine CAF physiologically important | The principal CAF target at physiologically important concentrations refers to adenosine receptors. | 15,045 |
adenosine. antagonist of a opinion CAF a that is It common competitive is | It is a common opinion that CAF is a competitive antagonist of adenosine. | 15,046 |
which SPF-CellTracker. suite We developed we software a call tracking | We developed a tracking software suite which we call SPF-CellTracker. | 15,047 |
the pose dot-product embeddings. image the score between The and function is then | The score function is then the dot-product between the image and pose embeddings. | 15,048 |
score are cost The and trained jointly using maximum-margin image-pose a function. function embedding | The image-pose embedding and score function are jointly trained using a maximum-margin cost function. | 15,049 |
as technique techniques other be compared to . best value Eigen two the with found | Eigen value technique found to be the best as compared with other two techniques . | 15,050 |
except small trees cases. understood well not gene anomalous some are for Such | Such anomalous gene trees are not well understood except for some small cases. | 15,051 |
how learning. discuss stimulate questions BrainPlay We | We discuss how BrainPlay questions stimulate learning. | 15,052 |
intelligence. that questions find We aspects BrainPlay many span of | We find that BrainPlay questions span many aspects of intelligence. | 15,053 |
in many relationships been developed have methods detecting data. In recent years, observational for causal | In recent years, many methods have been developed for detecting causal relationships in observational data. | 15,054 |
sets. to large data the Some of tackle have potential them | Some of them have the potential to tackle large data sets. | 15,055 |
i.e. these However, combined discover methods to cause, a fail | However, these methods fail to discover a combined cause, i.e. | 15,056 |
two causes. component cause multi-factor individually consisting variables are a of not which or more | a multi-factor cause consisting of two or more component variables which individually are not causes. | 15,057 |
in data mining causes sets. combined large | mining combined causes in large data sets. | 15,058 |
univocally cameras presence and of identifies system of the them. people detects The | The system of cameras detects the presence of people and univocally identifies them. | 15,059 |
our gradient the (APG) to efficiently. We utilize accelerated proximal solve method model | We utilize the accelerated proximal gradient (APG) method to solve our model efficiently. | 15,060 |
We annotation. intuition improve to this multilabel on build image | We build on this intuition to improve multilabel image annotation. | 15,061 |
path in the computation key-node. shortest This of a done temporal is neighborhood through | This is done through shortest path computation in a temporal neighborhood of the key-node. | 15,062 |
momentum helps gradient. biodiversity steep tropical latitudinal to the perpetuate Thus, evolutionary | Thus, tropical evolutionary momentum helps to perpetuate the steep latitudinal biodiversity gradient. | 15,063 |
hyper-parameters process related are estimation of to Gaussian the presented. Examples | Examples related to the estimation of Gaussian process hyper-parameters are presented. | 15,064 |
cancer for Lung related the deaths. leading is cause cancer | Lung cancer is the leading cause for cancer related deaths. | 15,065 |
a imaging do to feature tool set. high-dimension this is radiomics: powerful A | A powerful tool to do this is radiomics: a high-dimension imaging feature set. | 15,066 |
treatment and Finally, an implications. of effects antiretroviral we drug the study | Finally, we study the effects of an antiretroviral drug and treatment implications. | 15,067 |
complementary facial CNNs features multimodal set The from extracts data. of | The set of CNNs extracts complementary facial features from multimodal data. | 15,068 |
this method videos. unsupervised introduce to We representation from an generate | We introduce an unsupervised method to generate this representation from videos. | 15,069 |
model recognition The action multiple benchmarks. achieves proposed in state-of-the-art performance | The proposed model achieves state-of-the-art performance in multiple action recognition benchmarks. | 15,070 |
set the automatically tune possible approach nested it and to Our hyperparameters estimates. obtain makes | Our approach makes it possible to tune the hyperparameters automatically and obtain nested set estimates. | 15,071 |
also on presented. sets data Results actual are | Results on actual data sets are also presented. | 15,072 |
in navigation systems. autonomous a fundamental is task Road detection | Road detection is a fundamental task in autonomous navigation systems. | 15,073 |
great using demonstrate contextual and benefit The computational from results efficiency. a blocks show their | The results show a great benefit from using contextual blocks and demonstrate their computational efficiency. | 15,074 |
of main contributions this are There two article. | There are two main contributions of this article. | 15,075 |
used Second, various of be we that may various sensors data. list types for acquiring | Second, we list various types of sensors that may be used for acquiring various data. | 15,076 |
for used classifying review Third, taxonomies different we motions. | Third, we review different taxonomies used for classifying motions. | 15,077 |
involved we motion processes analysis. in review various Fourth, | Fourth, we review various processes involved in motion analysis. | 15,078 |
how exhibit structured. surveys are we Fifth, different | Fifth, we exhibit how different surveys are structured. | 15,079 |
provide we the computer general of aspect of subject Finally, the discussion vision. a from | Finally, we provide a general discussion of the subject from the aspect of computer vision. | 15,080 |
key manipulated Our a effective object generation contribution scheme. proposal yet is simple | Our key contribution is a simple yet effective manipulated object proposal generation scheme. | 15,081 |
in numerical assessment paper concerns filters. of Carlo This Monte particle error | This paper concerns numerical assessment of Monte Carlo error in particle filters. | 15,082 |
photosynthesis. their optimize to growth Chloroplasts regulate | Chloroplasts regulate their growth to optimize photosynthesis. | 15,083 |
more scatter Wild-type chloroplasts trend; chloroplasts highly this irregularly-shaped little scatter. exhibit around mutant exhibit | Wild-type chloroplasts exhibit little scatter around this trend; highly irregularly-shaped mutant chloroplasts exhibit more scatter. | 15,084 |
depth robust individual Unfortunately, its preventing technique each from suffers sensing. limitations | Unfortunately, each technique suffers from its individual limitations preventing robust depth sensing. | 15,085 |
refer field imaging. as this combination to We depth | We refer to this combination as depth field imaging. | 15,086 |
today's advertising rapidly huge, in growing is advertising market a world. Online | Online advertising is a huge, rapidly growing advertising market in today's world. | 15,087 |
advertising ads. of is image common form One using online | One common form of online advertising is using image ads. | 15,088 |
there a fundamental However, more is layer. | However, there is a more fundamental layer. | 15,089 |
to address recurrent In this neural introduce networks this we paper, (RNNs) issue. | In this paper, we introduce recurrent neural networks (RNNs) to address this issue. | 15,090 |
of treat We chain. the folded perturbed protein the strongly the as Rouse state | We treat the folded protein as the strongly perturbed state of the Rouse chain. | 15,091 |
properties. question addition the the whether intelligence show In we may fractal raise | In addition we raise the question whether the intelligence may show fractal properties. | 15,092 |
through finite carry analysis of the populations the this of to features Some key case. | Some of the key features of this analysis carry through to the finite populations case. | 15,093 |
possible this one to We answer offer question. | We offer one possible answer to this question. | 15,094 |
two amodal segmentation. datasets for We create semantic | We create two datasets for semantic amodal segmentation. | 15,095 |
classification rejection using supervised We new algorithm with for information. image multiscale contextual a introduce | We introduce a new supervised algorithm for image classification with rejection using multiscale contextual information. | 15,096 |
The performance. with proposed local combines rejection, the classification information and multiscale improving contextual algorithm | The proposed algorithm combines local and multiscale contextual information with rejection, improving the classification performance. | 15,097 |
for logistic multinomial a a adopt regression. probabilistic classification, we As model | As a probabilistic model for classification, we adopt a multinomial logistic regression. | 15,098 |
We the classification of of images H&E-stained tissues. the teratoma proposed method illustrate on | We illustrate the proposed method on the classification of images of H&E-stained teratoma tissues. | 15,099 |
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