dataset_references.bib

@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},
  booktitle={Ismb},
  volume={4},
  pages={109--115},
  year={1996},
  organization={St. Louis, Missouri, USA}
}

@misc{howard2022amex,
  author       = {Howard, Addison and AritraAmex and Xu, Di and Vashani, Hossein and inversion and Negin and Dane, Sohier},
  title        = {American Express -- Default Prediction},
  year         = {2022},
  howpublished = {Kaggle Competition},
  url          = {https://kaggle.com/competitions/amex-default-prediction},
  note         = {Accessed via Kaggle}
}

@article{huang2025interdia,
  title={InterDIA: Interpretable prediction of drug-induced autoimmunity through ensemble machine learning approaches},
  author={Huang, Lina and Liu, Peineng and Huang, Xiaojie},
  journal={Toxicology},
  volume={511},
  pages={154064},
  year={2025},
  publisher={Elsevier}
}

@misc{huawei_netop_5g_energy_consumption,
  author       = {{HUAWEI Netop Team}},
  title        = {5G Network Energy Consumption Dataset},
  year         = {n.d.},
  howpublished = {\url{https://huggingface.co/datasets/netop/5G-Network-Energy-Consumption}},
  note         = {Dataset hosted on Hugging Face, accessed 2026-04-15}
}

@misc{ida2016challenge,
  author       = {{IDA2016Challenge}},
  title        = {IDA2016Challenge [Dataset]},
  year         = {2016},
  howpublished = {\url{https://doi.org/10.24432/C5V60Q}},
  note         = {UCI Machine Learning Repository},
}

@misc{ieee-fraud-detection,
    author = {Addison Howard and Bernadette Bouchon-Meunier and IEEE CIS and inversion and John Lei and Lynn@Vesta and Marcus2010 and Prof. Hussein Abbass},
    title = {IEEE-CIS Fraud Detection},
    year = {2019},
    howpublished = {\url{https://kaggle.com/competitions/ieee-fraud-detection}},
    note = {Kaggle}
}

@article{imran2021mining,
    title={Mining the productivity data of the garment industry},
    author={Imran, Abdullah Al and Rahim, Md Shamsur and Ahmed, Tanvir},
    journal={International Journal of Business Intelligence and Data Mining},
    volume={19},
    number={3},
    pages={319--342},
    year={2021},
    publisher={Inderscience Publishers (IEL)}
}

@inproceedings{islam2019likelihood,
  title={Likelihood prediction of diabetes at early stage using data mining techniques},
  author={Islam, MM Faniqul and Ferdousi, Rahatara and Rahman, Sadikur and Bushra, Humayra Yasmin},
  booktitle={Computer Vision and Machine Intelligence in Medical Image Analysis: International Symposium, ISCMM 2019},
  pages={113--125},
  year={2019},
  organization={Springer}
}

@misc{kaggle_rossmann_store_sales,
    title        = {Rossmann Store Sales},
    author       = {{Kaggle}},
    howpublished = {\url{https://www.kaggle.com/competitions/rossmann-store-sales/overview}},
    note         = {Kaggle competition page. Accessed: 2026-03-19},
    year         = {2015}
}

@article{keramati2011churn,
  title={Churn analysis for an Iranian mobile operator},
  author={Keramati, Abbas and Ardabili, Seyed MS},
  journal={Telecommunications Policy},
  volume={35},
  number={4},
  pages={344--356},
  year={2011},
  publisher={Elsevier}
}

@article{kirchgassner2020estimating,
  title={Estimating electric motor temperatures with deep residual machine learning},
  author={Kirchg{"a}ssner, Wilhelm and Wallscheid, Oliver and B{"o}cker, Joachim},
  journal={IEEE Transactions on Power Electronics},
  volume={36},
  number={7},
  pages={7480--7488},
  year={2020},
  publisher={IEEE}
}

@article{liang2016financial,
  title={Financial ratios and corporate governance indicators in bankruptcy prediction: A comprehensive study},
  author={Liang, Deron and Lu, Chia-Chi and Tsai, Chih-Fong and Shih, Guan-An},
  journal={European journal of operational research},
  volume={252},
  number={2},
  pages={561--572},
  year={2016},
  publisher={Elsevier}
}

@article{little2007exploiting,
  title={Exploiting nonlinear recurrence and fractal scaling properties for voice disorder detection},
  author={Little, Max and Mcsharry, Patrick and Roberts, Stephen and Costello, Declan and Moroz, Irene},
  journal={Nature Precedings},
  pages={1--1},
  year={2007},
  publisher={Nature Publishing Group UK London}
}

@article{mahe2014automatic,
  title={Automatic identification of mixed bacterial species fingerprints in a MALDI-TOF mass-spectrum},
  author={Mahe, Pierre and Arsac, Maud and Chatellier, Sonia and Monnin, Val{\'e}rie and Perrot, Nadine and Mailler, Sandrine and Girard, Victoria and Ramjeet, Mahendrasingh and Surre, J{\'e}r{\'e}my and Lacroix, Bruno and others},
  journal={Bioinformatics},
  volume={30},
  number={9},
  pages={1280--1286},
  year={2014},
  publisher={Oxford University Press}
}

@article{mansouri2013quantitative,
  title={Quantitative structure--activity relationship models for ready biodegradability of chemicals},
  author={Mansouri, Kamel and Ringsted, Tine and Ballabio, Davide and Todeschini, Roberto and Consonni, Viviana},
  journal={Journal of chemical information and modeling},
  volume={53},
  number={4},
  pages={867--878},
  year={2013},
  publisher={ACS Publications}
}

@article{marcinkevivcs2024interpretable,
  title={Interpretable and intervenable ultrasonography-based machine learning models for pediatric appendicitis},
  author={Marcinkevi{\v{c}}s, Ri{\v{c}}ards and Wolfertstetter, Patricia Reis and Klimiene, Ugne and Chin-Cheong, Kieran and Paschke, Alyssia and Zerres, Julia and Denzinger, Markus and Niederberger, David and Wellmann, Sven and Ozkan, Ece and others},
  journal={Medical image analysis},
  volume={91},
  pages={103042},
  year={2024},
  publisher={Elsevier}
}

@misc{marcoulides2005churn,
  title={Discovering knowledge in data: An introduction to data mining},
  author={Marcoulides, George A},
  year={2005},
  publisher={Taylor \& Francis}
}

@article{marcus2010open,
  title={Open access series of imaging studies: longitudinal MRI data in nondemented and demented older adults},
  author={Marcus, Daniel S and Fotenos, Anthony F and Csernansky, John G and Morris, John C and Buckner, Randy L},
  journal={Journal of cognitive neuroscience},
  volume={22},
  number={12},
  pages={2677--2684},
  year={2010},
}

@inproceedings{martins2021early,
  title={Early prediction of student’s performance in higher education: A case study},
  author={Martins, M{\'o}nica V and Tolledo, Daniel and Machado, Jorge and Baptista, Lu{\'\i}s MT and Realinho, Valentim},
  booktitle={Trends and Applications in Information Systems and Technologies: Volume 1 9},
  pages={166--175},
  year={2021},
  organization={Springer}
}

@article{mathur2021naticusdroid,
  title={NATICUSdroid: A malware detection framework for Android using native and custom permissions},
  author={Mathur, Akshay and Podila, Laxmi Mounika and Kulkarni, Keyur and Niyaz, Quamar and Javaid, Ahmad Y},
  journal={Journal of Information Security and Applications},
  volume={58},
  pages={102696},
  year={2021},
  publisher={Elsevier}
}

@inproceedings{menzies2004good,
  title={How good is your blind spot sampling policy},
  author={Menzies, Tim and Di Stefano, Justin S},
  booktitle={Eighth IEEE International Symposium on High Assurance Systems Engineering, 2004. Proceedings.},
  pages={129--138},
  year={2004},
  organization={IEEE}
}

@article{moro2014bank-marketing,
  title={A data-driven approach to predict the success of bank telemarketing},
  author={Moro, S{\'e}rgio and Cortez, Paulo and Rita, Paulo},
  journal={Decision Support Systems},
  volume={62},
  pages={22--31},
  year={2014},
  publisher={Elsevier}
}

@article{olier2018meta,
  title={Meta-QSAR: a large-scale application of meta-learning to drug design and discovery},
  author={Olier, Ivan and Sadawi, Noureddin and Bickerton, G Richard and Vanschoren, Joaquin and Grosan, Crina and Soldatova, Larisa and King, Ross D},
  journal={Machine Learning},
  volume={107},
  pages={285--311},
  year={2018},
  publisher={Springer}
}

@article{pace1997sparse,
  title={Sparse spatial autoregressions},
  author={Pace, R Kelley and Barry, Ronald},
  journal={Statistics \& Probability Letters},
  volume={33},
  number={3},
  pages={291--297},
  year={1997},
  publisher={Elsevier}
}

@article{palechor2019dataset,
    title={Dataset for estimation of obesity levels based on eating habits and physical condition in individuals from Colombia, Peru and Mexico},
    author={Palechor, Fabio Mendoza and De la Hoz Manotas, Alexis},
    journal={Data in brief},
    volume={25},
    pages={104344},
    year={2019},
    publisher={Elsevier}
}

@misc{paolocons2020fiat,
  author       = {Kaggle User Paolocons},
  title        = {Another Dataset on Used Fiat 500 (1538 Rows)},
  year         = {2020},
  howpublished = {\url{https://www.kaggle.com/datasets/paolocons/another-fiat-500-dataset-1538-rows}},
  note         = {Kaggle dataset},
}

@inproceedings{peeters2021performance,
  title={Performance Prediction for Hardware-Software Configurations: A Case Study for Video Games},
  author={Peeters, Sven and Melnikov, Vitalik and H{""u}llermeier, Eyke},
  booktitle={International Symposium on Intelligent Data Analysis},
  pages={222--234},
  year={2021},
  organization={Springer}
}

@article{penrose1985generalized,
  title={Generalized body composition prediction equation for men using simple measurement techniques},
  author={Penrose, Keith W and Nelson, Arnold G and Fisher, Arnold Garth},
  journal={Medicine \& Science in Sports \& Exercise},
  volume={17},
  number={2},
  pages={189},
  year={1985},
  publisher={Ovid Technologies (Wolters Kluwer Health)}
}

@article{petricoin2002serum,
  title={Serum proteomic patterns for detection of prostate cancer},
  author={Petricoin III, Emanuel F and Ornstein, David K and Paweletz, Cloud P and Ardekani, Ali and Hackett, Paul S and Hitt, Ben A and Velassco, Alfredo and Trucco, Christian and Wiegand, Laura and Wood, Kamillah and others},
  journal={Journal of the National Cancer Institute},
  volume={94},
  number={20},
  pages={1576--1578},
  year={2002},
  publisher={Oxford University Press}
}

@article{quinlan1987simplifying,
  title={Simplifying decision trees},
  author={Quinlan, J. Ross},
  journal={International journal of man-machine studies},
  volume={27},
  number={3},
  pages={221--234},
  year={1987},
  publisher={Elsevier}
}

@misc{rajatkumar302023food,
  author       = {Kaggle User Rajatkumar30},
  title        = {Food Delivery Time},
  year         = {2023},
  howpublished = {\url{https://www.kaggle.com/datasets/rajatkumar30/food-delivery-time}},
  note         = {Kaggle dataset},
}

@article{ramana2012critical,
  title={A critical comparative study of liver patients from USA and INDIA: an exploratory analysis},
  author={Ramana, Bendi Venkata and Babu, M Surendra Prasad and Venkateswarlu, NB},
  journal={International Journal of Computer Science Issues (IJCSI)},
  volume={9},
  number={3},
  pages={506},
  year={2012},
  publisher={International Journal of Computer Science Issues (IJCSI)}
}

@misc{rana2013protein,
  author       = {Rana, Prashant},
  title        = {Physicochemical Properties of Protein Tertiary Structure},
  year         = {2013},
  howpublished = {\url{https://doi.org/10.24432/C5QW3H}},
  note         = {UCI Machine Learning Repository},
}

@article{reyna2020early,
  title={Early prediction of sepsis from clinical data: the PhysioNet/Computing in Cardiology Challenge 2019},
  author={Reyna, Matthew A and Josef, Christopher S and Jeter, Russell and Shashikumar, Supreeth P and Westover, M Brandon and Nemati, Shamim and Clifford, Gari D and Sharma, Ashish},
  journal={Critical care medicine},
  volume={48},
  number={2},
  pages={210--217},
  year={2020},
  publisher={LWW}
}

@article{ricci2021machine,
  title={Machine-learning-based microwave sensing: A case study for the food industry},
  author={Ricci, Marco and {\v{S}}titi{\'c}, Bernardita and Urbinati, Luca and Di Guglielmo, Giuseppe and Vasquez, Jorge A Tob{\'o}n and Carloni, Luca P and Vipiana, Francesca and Casu, Mario R},
  journal={IEEE Journal on Emerging and Selected Topics in Circuits and Systems},
  volume={11},
  number={3},
  pages={503--514},
  year={2021},
  publisher={IEEE}
}

@article{rossouw1983coronary,
  title={Coronary risk factor screening in three rural communities. The CORIS baseline study.},
  author={Rossouw, JE and Du Plessis, JP and Benad{\'e}, AJ and Jordaan, PC and Kotze, JP and Jooste, PL and Ferreira, JJ},
  journal={South African medical journal= Suid-Afrikaanse tydskrif vir geneeskunde},
  volume={64},
  number={12},
  pages={430--436},
  year={1983}
}

@inproceedings{rubachev2025tabred,
  title={TabReD: Analyzing Pitfalls and Filling the Gaps in Tabular Deep Learning Benchmarks},
  author={Rubachev, Ivan and Kartashev, Nikolay and Gorishniy, Yury and Babenko, Artem},
  booktitle={The Thirteenth International Conference on Learning Representations},
  year={2025},
}

@article{ruiz2023development,
  title={Development and evaluations of the ancestry informative markers of the VISAGE Enhanced Tool for Appearance and Ancestry},
  author={Ruiz-Ram{\'\i}rez, Jorge and de La Puente, M and Xavier, Catarina and Ambroa-Conde, Adri{\'a}n and {\'A}lvarez-Dios, J and Freire-Aradas, A and Mosquera-Miguel, Ana and Ralf, Arwin and Amory, Christina and Katsara, Maria Alexandra and others},
  journal={Forensic Science International: Genetics},
  volume={64},
  pages={102853},
  year={2023},
  publisher={Elsevier}
}

@article{sakar2019real,
  title={Real-time prediction of online shoppers’ purchasing intention using multilayer perceptron and LSTM recurrent neural networks},
  author={Sakar, C Okan and Polat, S Olcay and Katircioglu, Mete and Kastro, Yomi},
  journal={Neural Computing and Applications},
  volume={31},
  number={10},
  pages={6893--6908},
  year={2019},
  publisher={Springer}
}

@misc{saldanha2020marketing,
  author       = {Saldanha, Rodolfo},
  title        = {Marketing Campaign},
  year         = {2020},
  howpublished = {\url{https://www.kaggle.com/datasets/rodsaldanha/arketing-campaign}},
  note         = {Kaggle dataset},
}

@article{sanz2025credit,
  title={Credit Risk Meets Large Language Models: Building a Risk Indicator from Loan Descriptions in P2P Lending},
  author={Sanz-Guerrero, Mario and Arroyo, Javier},
  journal={Inteligencia Artificial},
  volume={28},
  number={75},
  pages={220--247},
  year={2025}
}

@article{sikora2010application,
  title={Application of rule induction algorithms for analysis of data collected by seismic hazard monitoring systems in coal mines},
  author={Sikora, Marek and Wr{\'o}bel, {\L}ukasz},
  journal={Archives of Mining Sciences},
  volume={55},
  number={1},
  pages={91--114},
  year={2010}
}

@misc{silva2008using,
  title={Using data mining to predict secondary school student performance},
  author={Silva, Alice},
  year={2008}
}

@article{spira2007airway,
  title={Airway epithelial gene expression in the diagnostic evaluation of smokers with suspect lung cancer},
  author={Spira, Avrum and Beane, Jennifer E and Shah, Vishal and Steiling, Katrina and Liu, Gang and Schembri, Frank and Gilman, Sean and Dumas, Yves-Martine and Calner, Paul and Sebastiani, Paola and others},
  journal={Nature medicine},
  volume={13},
  number={3},
  pages={361--366},
  year={2007},
  publisher={Nature Publishing Group US New York}
}

@article{strack2014impact,
  title={Impact of HbA1c measurement on hospital readmission rates: analysis of 70,000 clinical database patient records},
  author={Strack, Beata and DeShazo, Jonathan P and Gennings, Chris and Olmo, Juan L and Ventura, Sebastian and Cios, Krzysztof J and Clore, John N},
  journal={BioMed research international},
  volume={2014},
  number={1},
  pages={781670},
  year={2014},
  publisher={Wiley Online Library}
}

@article{towell1994knowledge,
  title={Knowledge-based artificial neural networks},
  author={Towell, Geoffrey G and Shavlik, Jude W},
  journal={Artificial intelligence},
  volume={70},
  number={1-2},
  pages={119--165},
  year={1994},
  publisher={Elsevier}
}

@article{tsanas2009accurate,
  title={Accurate telemonitoring of Parkinson’s disease progression by non-invasive speech tests},
  author={Tsanas, Athanasios and Little, Max and McSharry, Patrick and Ramig, Lorraine},
  journal={Nature Precedings},
  pages={1--1},
  year={2009},
  publisher={Nature Publishing Group UK London}
}

@techreport{van2000coil,
  title={CoIL challenge 2000: The insurance company case},
  author={Van Der Putten, Peter and van Someren, Maarten and others},
  year={2000},
  institution={Technical Report 2000--09, Leiden Institute of Advanced Computer Science}
}

@article{vidros2017automatic,
  title={Automatic detection of online recruitment frauds: Characteristics, methods, and a public dataset},
  author={Vidros, Sokratis and Kolias, Constantinos and Kambourakis, Georgios and Akoglu, Leman},
  journal={Future Internet},
  volume={9},
  number={1},
  pages={6},
  year={2017},
  publisher={MDPI}
}

@article{wang2017bayesian,
  title={A bayesian framework for learning rule sets for interpretable classification},
  author={Wang, Tong and Rudin, Cynthia and Doshi-Velez, Finale and Liu, Yimin and Klampfl, Erica and MacNeille, Perry},
  journal={Journal of Machine Learning Research},
  volume={18},
  number={70},
  pages={1--37},
  year={2017}
}

@misc{webrobots2026kickstarter,
  title        = {Kickstarter Datasets},
  author       = {{Web Robots}},
  howpublished = {\url{https://webrobots.io/kickstarter-datasets/}},
  note         = {Accessed: 2026-01-25},
  year         = {2026},
  organization = {Web Robots}
}

@incollection{wickham2016data,
  title={Data analysis},
  author={Wickham, Hadley},
  booktitle={ggplot2: Elegant graphics for data analysis},
  pages={189--201},
  year={2016},
  publisher={Springer}
}

@article{xavier2020development,
  title={Development and validation of the VISAGE AmpliSeq basic tool to predict appearance and ancestry from DNA},
  author={Xavier, Catarina and de la Puente, Maria and Mosquera-Miguel, Ana and Freire-Aradas, Ana and Kalamara, Vivian and Vidaki, Athina and Gross, Theresa E and Revoir, Andrew and Po{\'s}piech, Ewelina and Kartasi{\'n}ska, Ewa and others},
  journal={Forensic Science International: Genetics},
  volume={48},
  pages={102336},
  year={2020},
  publisher={Elsevier}
}

@misc{yakhyojon2023airlinesatisfaction,
    author = {Kaggle User Yakhyojon},
    title = {Customer Satisfaction in Airline.},
    year = {2023},
    howpublished = {url{https://www.kaggle.com/datasets/yakhyojon/customer-satisfaction-in-airline}},
    note = {Kaggle}
}

@article{yeh1998modeling,
  title={Modeling of strength of high-performance concrete using artificial neural networks},
  author={Yeh, I-C},
  journal={Cement and Concrete research},
  volume={28},
  number={12},
  pages={1797--1808},
  year={1998},
  publisher={Elsevier}
}

@article{yeh2009comparisons,
  title={The comparisons of data mining techniques for the predictive accuracy of probability of default of credit card clients},
  author={Yeh, I-Cheng and Lien, Che-hui},
  journal={Expert systems with applications},
  volume={36},
  number={2},
  pages={2473--2480},
  year={2009},
  publisher={Elsevier}
}

@article{yeh2009knowledge,
  title={Knowledge discovery on RFM model using Bernoulli sequence},
  author={Yeh, I-Cheng and Yang, King-Jang and Ting, Tao-Ming},
  journal={Expert Systems with applications},
  volume={36},
  number={3},
  pages={5866--5871},
  year={2009},
  publisher={Elsevier}
}

@article{zikeba2016ensemble,
  title={Ensemble boosted trees with synthetic features generation in application to bankruptcy prediction},
  author={Zi{\k{e}}ba, Maciej and Tomczak, Sebastian K and Tomczak, Jakub M},
  journal={Expert systems with applications},
  volume={58},
  pages={93--101},
  year={2016},
  publisher={Elsevier}
}

@misc{zindi_ghana_indigenous_intel_2025,
    author       = {{Zindi}},
    title        = {Ghana's Indigenous Intel Challenge [BEGINNERS ONLY]: Data},
    year         = {2025},
    howpublished = {\url{https://zindi.africa/competitions/ghana-indigenous-intel-challenge/data}},
    note         = {Zindi dataset page. Accessed 2026-04-11}
}