BeyondArena / dataset_references.bib
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@misc{AlIrsyad2023CoffeeDataCoffeeReview,
author = {Hanif Al Irsyad},
title = {Coffee Data CoffeeReview},
year = {2023},
howpublished = {\url{https://www.kaggle.com/datasets/hanifalirsyad/coffee-scrap-coffeereview}},
note = {Kaggle dataset}
}
@misc{Barnawal2022MutualFundsIndiaDetailed,
author = {Ravi Barnawal},
title = {Mutual Funds India Detailed},
year = {2022},
howpublished = {\url{https://www.kaggle.com/datasets/ravibarnawal/mutual-funds-india-detailed}},
note = {Kaggle dataset}
}
@misc{Barreto2005Vertebral,
author = {Barreto, Guilherme and Neto, Ajalmar},
title = {{Vertebral Column}},
year = {2005},
howpublished = {UCI Machine Learning Repository},
note = {{DOI}: https://doi.org/10.24432/C5K89B}
}
@misc{Bossan2015OttoGroupProductClassificationChallenge,
author = {Benjamin Bossan and Josef Feigl and Wendy Kan},
title = {Otto Group Product Classification Challenge},
year = {2015},
howpublished = {\url{https://kaggle.com/competitions/otto-group-product-classification-challenge}},
note = {Kaggle competition}
}
@misc{DMDave2014AcquireValuedShoppersChallenge,
author = {DMDave and Todd B and Will Cukierski},
title = {Acquire Valued Shoppers Challenge},
year = {2014},
howpublished = {\url{https://kaggle.com/competitions/acquire-valued-shoppers-challenge}},
note = {Kaggle competition}
}
@misc{Darrel2015HomesiteQuoteConversion,
author = {Darrel and Stephen D. Stayton and Will Cukierski},
title = {Homesite Quote Conversion},
year = {2015},
howpublished = {\url{https://kaggle.com/competitions/homesite-quote-conversion}},
note = {Kaggle competition}
}
@misc{DataDrive2030_2024_elom_thrivebyfive,
author = {{DataDrive2030}},
title = {ELOM and Thrive by Five Index 2016--2023, Merged Data},
version = {1},
year = {2024},
address = {Cape Town},
publisher = {DataDrive2030},
note = {[dataset]. Producer: DataDrive2030; Distributor: DataFirst},
doi = {10.25828/WG0D-Y909},
url = {https://doi.org/10.25828/WG0D-Y909}
}
@misc{DontGetKicked,
author = {faysal and Will Adams and Will Cukierski},
title = {Don't Get Kicked!},
year = {2011},
howpublished = {\url{https://kaggle.com/competitions/DontGetKicked}},
note = {Kaggle}
}
@misc{Ferguson2016AllstateClaimsSeverity,
author = {Dana Ferguson and Meg Risdal and NoTrick and Sara R. Sillah and Tim Emmerling and Will Cukierski},
title = {Allstate Claims Severity},
year = {2016},
howpublished = {\url{https://kaggle.com/competitions/allstate-claims-severity}},
note = {Kaggle competition}
}
@misc{German1987glass,
author = {German, B.},
title = {{Glass Identification}},
year = {1987},
howpublished = {UCI Machine Learning Repository},
note = {{DOI}: https://doi.org/10.24432/C5WW2P}
}
@misc{Herman2024HomeCreditCreditRiskModelStability,
author = {Daniel Herman and Tomas Jelinek and Walter Reade and Maggie Demkin and Addison Howard},
title = {Home Credit - Credit Risk Model Stability},
year = {2024},
howpublished = {\url{https://kaggle.com/competitions/home-credit-credit-risk-model-stability}},
note = {Kaggle competition}
}
@misc{Howard2017MercariPriceSuggestionChallenge,
author = {{Kaggle} and Addison Howard and kaoriiida and Kei Otagaki and Mark McDonald and mueno and Wendy Kan and Zhang and zyaga},
title = {Mercari Price Suggestion Challenge},
year = {2017},
howpublished = {\url{https://kaggle.com/competitions/mercari-price-suggestion-challenge}},
note = {Kaggle competition}
}
@misc{Howard2017PortoSegurosSafeDriverPrediction,
author = {Addison Howard and Adriano Moala and Walter Reade},
title = {Porto Seguro’s Safe Driver Prediction},
year = {2017},
howpublished = {\url{https://kaggle.com/competitions/porto-seguro-safe-driver-prediction}},
note = {Kaggle competition}
}
@misc{Jimenez2016SantanderCustomerSatisfaction,
author = {Soraya Jimenez and Will Cukierski},
title = {Santander Customer Satisfaction},
year = {2016},
howpublished = {\url{https://kaggle.com/competitions/santander-customer-satisfaction}},
note = {Kaggle competition}
}
@misc{Matthys2021WiDSDatathon2021,
author = {Karen Matthys and Meredith Lee and Neha Goel and Sharada Kalanidhi and Valerie and Vani M.},
title = {WiDS Datathon 2021},
year = {2021},
howpublished = {\url{https://kaggle.com/competitions/widsdatathon2021}},
note = {Kaggle competition}
}
@misc{McDonald2018SantanderValuePredictionChallenge,
author = {Mark McDonald and Mercedes Piedra and Sohier Dane and Soraya Jimenez},
title = {Santander Value Prediction Challenge},
year = {2018},
howpublished = {\url{https://kaggle.com/competitions/santander-value-prediction-challenge}},
note = {Kaggle competition}
}
@misc{McLeish1989HorseColic,
author = {McLeish, Mary and Cecile, Matt},
title = {{Horse Colic}},
year = {1989},
howpublished = {UCI Machine Learning Repository},
note = {{DOI}: https://doi.org/10.24432/C58W23}
}
@misc{Montoya2018HomeCreditDefaultRisk,
author = {Anna Montoya and inversion and Kirill Odintsov and Martin Kotek},
title = {Home Credit Default Risk},
year = {2018},
howpublished = {\url{https://kaggle.com/competitions/home-credit-default-risk}},
note = {Kaggle competition}
}
@misc{Novy2017MercedesBenzGreenerManufacturing,
author = {Alexander Novy and CH1Mercedes and Christian Drescher and Christian Pfaundler and KOESIM and Will Cukierski},
title = {Mercedes-Benz Greener Manufacturing},
year = {2017},
howpublished = {\url{https://kaggle.com/competitions/mercedes-benz-greener-manufacturing}},
note = {Kaggle competition}
}
@misc{OpenML43342Dataset,
author = {{OpenML}},
title = {ImmoScout24 OpenML Dataset 43342},
year = {2023},
howpublished = {\url{https://www.openml.org/d/43342}},
note = {OpenML dataset}
}
@misc{Parsa1998KDDCup1998,
author = {Ismail Parsa},
title = {KDD Cup 1998},
year = {1998},
howpublished = {\url{https://kdd.ics.uci.edu/databases/kddcup98/kddcup98.html}},
note = {Dataset, UCI Machine Learning Repository. DOI: 10.24432/C5401H}
}
@misc{Piedra2019SantanderCustomerTransactionPrediction,
author = {Mercedes Piedra and Sohier Dane and Soraya Jimenez},
title = {Santander Customer Transaction Prediction},
year = {2019},
howpublished = {\url{https://kaggle.com/competitions/santander-customer-transaction-prediction}},
note = {Kaggle competition}
}
@misc{Podsyp2020IsThisAGoodCustomer,
title={Is This a Good Customer?},
author={Podsyp},
year={2020},
publisher={Kaggle},
url={https://www.kaggle.com/datasets/podsyp/is-this-a-good-customer}
}
@misc{Rustamov2023WineDataset,
author = {Elvin Rustamov},
title = {Wine Dataset},
year = {2023},
howpublished = {\url{https://www.kaggle.com/datasets/elvinrustam/wine-dataset}},
note = {Kaggle dataset}
}
@misc{SanFrancisco2026BuildingPermits,
author = {{City and County of San Francisco}},
title = {Building Permits},
year = {2026},
howpublished = {\url{https://data.sfgov.org/Housing-and-Buildings/Building-Permits/i98e-djp9/about_data}},
note = {DataSF Open Data Portal dataset, Accessed: 2026-02-05}
}
@misc{Shritech2019GermanHousingPricePrediction,
author = {shritech1404},
title = {German Housing Price Prediction},
year = {2019},
howpublished = {\url{https://www.kaggle.com/code/shritech1404/german-housing-price-prediction}},
note = {Kaggle notebook}
}
@misc{Tejashvi2023TourTravelsCustomerChurnPrediction,
author = {Tejashvi},
title = {Tour \& Travels Customer Churn Prediction},
year = {2023},
howpublished = {\url{https://www.kaggle.com/datasets/tejashvi14/tour-travels-customer-churn-prediction}},
note = {Kaggle dataset}
}
@misc{Topre2022BankCustomerChurn,
title={Bank Customer Churn Dataset},
author={Gaurav Topre},
year={2022},
publisher={Kaggle},
url={https://www.kaggle.com/datasets/gauravtopre/bank-customer-churn-dataset}
}
@misc{UCILiverDisorders2016,
title = {Liver Disorders},
author = {{UCI Machine Learning Repository}},
year = {2016},
howpublished = {\url{https://doi.org/10.24432/C54G67}},
note = {Dataset}
}
@misc{Zwitter1987primarytumor,
author = {Zwitter, M. and Soklic, M.},
title = {{Primary Tumor}},
year = {1987},
howpublished = {UCI Machine Learning Repository},
note = {{DOI}: https://doi.org/10.24432/C5WK5Q}
}
@misc{Zwitter1988BreastCancer,
author = {Zwitter, Matjaz and Soklic, Milan},
title = {{Breast Cancer}},
year = {1988},
howpublished = {UCI Machine Learning Repository},
note = {{DOI}: https://doi.org/10.24432/C51P4M}
}
@article{abdelhamid2014phishing,
title={Phishing detection based associative classification data mining},
author={Abdelhamid, Neda and Ayesh, Aladdin and Thabtah, Fadi},
journal={Expert Systems with Applications},
volume={41},
number={13},
pages={5948--5959},
year={2014},
publisher={Elsevier}
}
@article{accetta2022seventeenth,
title={The seventeenth data release of the Sloan Digital Sky Surveys: Complete release of MaNGA, MaStar, and APOGEE-2 data},
author={Accetta, Katherine and Aerts, Conny and Aguirre, Victor Silva and Ahumada, Romina and Ajgaonkar, Nikhil and Ak, N Filiz and Alam, Shadab and Prieto, Carlos Allende and Almeida, Andres and Anders, Friedrich and others},
journal={The Astrophysical Journal Supplement Series},
volume={259},
number={2},
pages={35},
year={2022},
publisher={IOP Publishing}
}
@inproceedings{ahmed2020review,
title={Review and analysis of risk factor of maternal health in remote area using the Internet of Things (IoT)},
author={Ahmed, Marzia and Kashem, Mohammod Abul and Rahman, Mostafijur and Khatun, Sabira},
booktitle={InECCE2019: Proceedings of the 5th International Conference on Electrical, Control \& Computer Engineering, Kuantan, Pahang, Malaysia, 29th July 2019},
pages={357--365},
year={2020},
organization={Springer}
}
@misc{anes2026timeseries,
author = {{American National Election Studies}},
title = {{ANES Time Series Cumulative Data File [dataset and documentation]}},
year = {2026},
month = feb,
note = {February 5, 2026 version},
howpublished = {\url{https://www.electionstudies.org}}
}
@article{antonio2019hotel,
title={Hotel booking demand datasets},
author={Antonio, Nuno and de Almeida, Ana and Nunes, Luis},
journal={Data in brief},
volume={22},
pages={41--49},
year={2019},
publisher={Elsevier}
}
@misc{arashnic2021hr,
author = {Kaggle User Arashnic},
title = {HR Analytics: Job Change of Data Scientists},
year = {2021},
howpublished = {\url{https://www.kaggle.com/datasets/arashnic/hr-analytics-job-change-of-data-scientists}},
note = {Kaggle dataset},
}
@misc{arunjangir2452023insurance,
author = {Kaggle User Arunjangir245},
title = {Healthcare Insurance Expenses},
year = {2023},
howpublished = {\url{https://www.kaggle.com/datasets/arunjangir245/healthcare-insurance-expenses/}},
note = {Kaggle dataset},
}
@misc{averkiyoliabev2021heloc,
author = {Kaggle User Averkiyoliabev},
title = {Home Equity Line of Credit (HELOC)},
year = {2021},
howpublished = {\url{https://www.kaggle.com/datasets/averkiyoliabev/home-equity-line-of-creditheloc}},
note = {Kaggle dataset},
}
@book{baesens2016credit,
title={Credit risk analytics: Measurement techniques, applications, and examples in SAS},
author={Baesens, Bart and Roesch, Daniel and Scheule, Harald},
year={2016},
publisher={John Wiley \& Sons}
}
@incollection{bareiss1990protos,
title={Protos: An exemplar-based learning apprentice},
author={Bareiss, E Ray and Porter, Bruce W and Wier, Craig C},
booktitle={Machine learning},
pages={112--127},
year={1990},
publisher={Elsevier}
}
@article{bhattacharjee2001classification,
title={Classification of human lung carcinomas by mRNA expression profiling reveals distinct adenocarcinoma subclasses},
author={Bhattacharjee, Arindam and Richards, William G and Staunton, Jane and Li, Cheng and Monti, Stefano and Vasa, Priya and Ladd, Christine and Beheshti, Javad and Bueno, Raphael and Gillette, Michael and others},
journal={Proceedings of the National Academy of Sciences},
volume={98},
number={24},
pages={13790--13795},
year={2001},
publisher={The National Academy of Sciences}
}
@misc{bioresponse2012hamner,
author = {Ben Hamner and dcthompson and Jorg},
title = {Predicting a Biological Response},
year = {2012},
howpublished = {https://kaggle.com/competitions/bioresponse},
note = {Kaggle}
}
@article{bischl_aslib_2016,
title={Aslib: A benchmark library for algorithm selection},
author={Bischl, Bernd and Kerschke, Pascal and Kotthoff, Lars and Lindauer, Marius and Malitsky, Yuri and Fr{\'e}chette, Alexandre and Hoos, Holger and Hutter, Frank and Leyton-Brown, Kevin and Tierney, Kevin and others},
journal={Artificial Intelligence},
volume={237},
pages={41--58},
year={2016},
publisher={Elsevier}
}
@article{blackard1999comparative,
title={Comparative accuracies of artificial neural networks and discriminant analysis in predicting forest cover types from cartographic variables},
author={Blackard, Jock A and Dean, Denis J},
journal={Computers and electronics in agriculture},
volume={24},
number={3},
pages={131--151},
year={1999},
publisher={Elsevier}
}
@article{bourassa2021big,
title={Big data, accessibility and urban house prices},
author={Bourassa, Steven C and Hoesli, Martin and Merlin, Louis and Renne, John},
journal={Urban Studies},
volume={58},
number={15},
pages={3176--3195},
year={2021},
publisher={SAGE Publications Sage UK: London, England}
}
@misc{brooks1989airfoil,
title={Airfoil self-noise and prediction},
author={Brooks, Thomas F and Pope, D Stuart and Marcolini, Michael A},
year={1989}
}
@misc{campos2010cardiotocography,
author = {Campos, D. and Bernardes, J.},
title = {{Cardiotocography}},
year = {2000},
howpublished = {UCI Machine Learning Repository},
note = {{DOI}: https://doi.org/10.24432/C51S4N}
}
@article{cassotti2014prediction,
title={Prediction of acute aquatic toxicity toward daphnia magna by using the ga-k nn method},
author={Cassotti, Matteo and Ballabio, Davide and Consonni, Viviana and Mauri, Andrea and Tetko, Igor V and Todeschini, Roberto},
journal={Alternatives to Laboratory Animals},
volume={42},
number={1},
pages={31--41},
year={2014},
publisher={SAGE Publications Sage UK: London, England}
}
@article{cassotti2015similarity,
title={A similarity-based QSAR model for predicting acute toxicity towards the fathead minnow (Pimephales promelas)},
author={Cassotti, Matteo and Ballabio, Davide and Todeschini, Roberto and Consonni, Viviana},
journal={SAR and QSAR in Environmental Research},
volume={26},
number={3},
pages={217--243},
year={2015},
publisher={Taylor \& Francis}
}
@misc{cfpb2025ConsumerComplaintDatabase,
author = {{Consumer Financial Protection Bureau}},
title = {Consumer Complaint Database},
year = {2025},
howpublished = {\url{https://www.consumerfinance.gov/data-research/consumer-complaints/}},
note = {Accessed: 2026-01-23},
}
@article{chicco2020machine,
title={Machine learning can predict survival of patients with heart failure from serum creatinine and ejection fraction alone},
author={Chicco, Davide and Jurman, Giuseppe},
journal={BMC medical informatics and decision making},
volume={20},
number={1},
pages={16},
year={2020},
publisher={Springer}
}
@article{chicco2020survival,
title={Survival prediction of patients with sepsis from age, sex, and septic episode number alone},
author={Chicco, Davide and Jurman, Giuseppe},
journal={Scientific reports},
volume={10},
number={1},
pages={17156},
year={2020},
publisher={Nature Publishing Group UK London}
}"
@misc{cortez2007data,
title={A data mining approach to predict forest fires using meteorological data},
author={Cortez, Paulo and Morais, An{\'\i}bal de Jesus Raimundo},
year={2007},
publisher={Associa{\c{c}}{\~a}o Portuguesa para a Intelig{\^e}ncia Artificial (APPIA)}
}
@article{cortez2009modeling,
title={Modeling wine preferences by data mining from physicochemical properties},
author={Cortez, Paulo and Cerdeira, Ant{\'o}nio and Almeida, Fernando and Matos, Telmo and Reis, Jos{\'e}},
journal={Decision support systems},
volume={47},
number={4},
pages={547--553},
year={2009},
publisher={Elsevier}
}
@misc{cukierski2011credit,
author = {Credit Fusion and Will Cukierski},
title = {Give Me Some Credit},
year = {2011},
howpublished = {url{https://kaggle.com/competitions/GiveMeSomeCredit}},
note = {Kaggle}
}
@misc{d2lcourse2021california_house_prices,
author = {d2lcourse},
title = {California House Prices},
year = {2021},
howpublished = {\url{https://kaggle.com/competitions/california-house-prices}},
note = {Kaggle}
}
@misc{ddosad2023fitness,
author = {Kaggle User Ddosad},
title = {Fitness Club Dataset for ML Classification},
year = {2023},
howpublished = {\url{https://www.kaggle.com/datasets/ddosad/datacamps-data-science-associate-certification}},
note = {Kaggle dataset},
}
@inproceedings{deneke2014video,
title={Video transcoding time prediction for proactive load balancing},
author={Deneke, Tewodors and Haile, Habtegebreil and Lafond, S{'e}bastien and Lilius, Johan},
booktitle={2014 IEEE International Conference on Multimedia and Expo (ICME)},
pages={1--6},
year={2014},
organization={IEEE}
}
@article{detrano1989international,
title={International application of a new probability algorithm for the diagnosis of coronary artery disease},
author={Detrano, Robert and Janosi, Andras and Steinbrunn, Walter and Pfisterer, Matthias and Schmid, Johann-Jakob and Sandhu, Sarbjit and Guppy, Kern H and Lee, Stella and Froelicher, Victor},
journal={The American journal of cardiology},
volume={64},
number={5},
pages={304--310},
year={1989},
publisher={Elsevier}
}
@article{dickson1989prognosis,
title={Prognosis in primary biliary cirrhosis: model for decision making},
author={Dickson, E Rolland and Grambsch, Patricia M and Fleming, Thomas R and Fisher, Lloyd D and Langworthy, Alice},
journal={Hepatology},
volume={10},
number={1},
pages={1--7},
year={1989},
publisher={Wiley Online Library}
}
@article{dietterich1993comparison,
title={A comparison of dynamic reposing and tangent distance for drug activity prediction},
author={Dietterich, Thomas and Jain, Ajay and Lathrop, Richard and Lozano-Perez, Tomas},
journal={Advances in neural information processing systems},
volume={6},
year={1993}
}
@inproceedings{efron1981statistical,
title={Statistical theory and the computer},
author={Efron, Bradley and Gong, Gail},
booktitle={Computer science and statistics: Proceedings of the 13th Symposium on the Interface},
pages={3--7},
year={1981},
organization={Springer}
}
@article{esen2024early,
title={Early prediction of gallstone disease with a machine learning-based method from bioimpedance and laboratory data},
author={Esen, {\.I}rfan and Arslan, Hilal and Esen, Selin Akt{\"u}rk and G{\"u}l{\c{s}}en, Mervenur and K{\"u}ltekin, Nimet and {\"O}zdemir, O{\u{g}}uzhan},
journal={Medicine},
volume={103},
number={8},
pages={e37258},
year={2024},
publisher={LWW}
}
@inproceedings{flogard2022dataset,
title={A dataset for efforts towards achieving the sustainable development goal of safe working environments},
author={Flogard, Eirik Lund and Mengshoel, Ole Jakob},
booktitle={Thirty-sixth Conference on Neural Information Processing Systems Datasets and Benchmarks Track},
year={2022}
}
@article{golovenkin2020trajectories,
title={Trajectories, bifurcations, and pseudo-time in large clinical datasets: applications to myocardial infarction and diabetes data},
author={Golovenkin, Sergey E and Bac, Jonathan and Chervov, Alexander and Mirkes, Evgeny M and Orlova, Yuliya V and Barillot, Emmanuel and Gorban, Alexander N and Zinovyev, Andrei},
journal={GigaScience},
volume={9},
number={11},
pages={giaa128},
year={2020},
publisher={Oxford University Press}
}
@misc{gopalani2021ecommerce,
author = {Prachi Gopalani},
title = {E-Commerce Shipping Data},
year = {2021},
howpublished = {\url{https://www.kaggle.com/datasets/prachi13/customer-analytics}},
note = {Kaggle dataset},
}
@article{gul2021structure,
title={Structure-based design and classifications of small molecules regulating the circadian rhythm period},
author={Gul, Seref and Rahim, Fatih and Isin, Safak and Yilmaz, Fatma and Ozturk, Nuri and Turkay, Metin and Kavakli, Ibrahim Halil},
journal={Scientific reports},
volume={11},
number={1},
pages={18510},
year={2021},
publisher={Nature Publishing Group UK London}
}
@article{guvenir1998learning,
title={Learning differential diagnosis of erythemato-squamous diseases using voting feature intervals},
author={G{\"u}venir, H Altay and Demir{\"o}z, G{\"u}l{\c{s}}en and Ilter, Nilsel},
journal={Artificial intelligence in medicine},
volume={13},
number={3},
pages={147--165},
year={1998},
publisher={Elsevier}
}
@inproceedings{guyon2007agnostic,
author={Isabelle Guyon and Amir Saffari and Gideon Dror and Gavin Cawley},
booktitle={2007 International Joint Conference on Neural Networks},
title={Agnostic Learning vs. Prior Knowledge Challenge},
year={2007},
pages={829-834},
doi={10.1109/IJCNN.2007.4371065}
}
@inproceedings{guyon2009analysis,
title={Analysis of the kdd cup 2009: Fast scoring on a large orange customer database},
author={Guyon, Isabelle and Lemaire, Vincent and Boull{\'e}, Marc and Dror, Gideon and Vogel, David},
booktitle={KDD-Cup 2009 Competition},
pages={1--22},
year={2009},
organization={PMLR}
}
@article{hamidieh2018data,
title={A data-driven statistical model for predicting the critical temperature of a superconductor},
author={Hamidieh, Kam},
journal={Computational Materials Science},
volume={154},
pages={346--354},
year={2018},
publisher={Elsevier}
}
@misc{hamner2013amazon,
author = {Ben Hamner and kenmonta and Will Cukierski},
title = {Amazon.com - Employee Access Challenge},
year = {2013},
howpublished = {\url{https://www.kaggle.com/competitions/amazon-employee-access-challenge}},
note = {Kaggle competition},
}
@article{higuera2015self,
title={Self-organizing feature maps identify proteins critical to learning in a mouse model of down syndrome},
author={Higuera, Clara and Gardiner, Katheleen J and Cios, Krzysztof J},
journal={PloS one},
volume={10},
number={6},
pages={e0129126},
year={2015},
publisher={Public Library of Science San Francisco, CA USA}
}
@article{hingorani2003preinvasive,
title={Preinvasive and invasive ductal pancreatic cancer and its early detection in the mouse},
author={Hingorani, Sunil R and Petricoin, Emanuel F and Maitra, Anirban and Rajapakse, Vinodh and King, Catrina and Jacobetz, Michael A and Ross, Sally and Conrads, Thomas P and Veenstra, Timothy D and Hitt, Ben A and others},
journal={Cancer cell},
volume={4},
number={6},
pages={437--450},
year={2003},
publisher={Elsevier}
}"
@article{hoffmann2018using,
title={Using machine learning techniques to generate laboratory diagnostic pathways—a case study},
author={Hoffmann, Georg and Bietenbeck, Andreas and Lichtinghagen, Ralf and Klawonn, Frank},
journal={Journal of Laboratory and Precision Medicine},
volume={3},
number={6},
year={2018},
publisher={AME Publishing Company}
}
@misc{hofmann1994statlog,
author = {Hofmann, H.},
title = {Statlog (German Credit Data) [Dataset]},
year = {1994},
howpublished = {\url{https://doi.org/10.24432/C5NC77}},
note = {UCI Machine Learning Repository},
}
@article{hoos2014claspfolio,
title={claspfolio 2: Advances in algorithm selection for answer set programming},
author={Hoos, Holger and Lindauer, Marius and Schaub, Torsten},
journal={Theory and Practice of Logic Programming},
volume={14},
number={4-5},
pages={569--585},
year={2014},
publisher={Cambridge University Press}
}
@inproceedings{horton1996probabilistic,
title={A probabilistic classification system for predicting the cellular localization sites of proteins.},
author={Horton, Paul and Nakai, Kenta},
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