Tong Wang

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Cynthia RudinProfessor of Computer Science, ECE, Statistics, and Biostatistics & Bioinformatics, Duke UniversityVerified email at cs.duke.edu
Finale Doshi-VelezProfessor, HarvardVerified email at seas.harvard.edu
Perry MacNeilleResearch Engineer, Ford Motor CompanyVerified email at ford.com
Muriel MedardProfessor of EECS, MITVerified email at mit.edu
Yaron ShaposhnikUniversity of RochesterVerified email at simon.rochester.edu
Qihang LinThe University of IowaVerified email at uiowa.edu
Sankeerth RampaAssociate Professor Health Care Administration, Rhode Island CollegeVerified email at ric.edu
Veerajalandhar AllareddyDuke UniversityVerified email at duke.edu
Veerasathpurush AllareddyUniversity of Illinois at Chicago College of DentistryVerified email at uic.edu
Chaofan ChenAssistant Professor in Computer Science, the University of MaineVerified email at maine.edu
Aditya BadhekaUniversity of IowaVerified email at uiowa.edu
Fujie JinIndiana UniversityVerified email at indiana.edu
Ronilo RagodosUniversity of IowaVerified email at uiowa.edu
Yu Jeffrey HuProfessor, Purdue UniversityVerified email at purdue.edu
Barrett W. ThomasProfessor, Department of Business Analytics, University of IowaVerified email at uiowa.edu
Marlin W. UlmerProfessor of Management Science, Otto-von-Guericke-Universität MagdeburgVerified email at ovgu.de
Xinwei ChenBucknell UniversityVerified email at bucknell.edu
Mugen PengBeijing University of Posts & Telecommun., IEEE Fellow, Web of Science Highly Cited ResearcherVerified email at bupt.edu.cn
Zhiguo DingKhalifa University and University of Manchester, Fellow of IEEE, Web of Science Highly CitedVerified email at manchester.ac.uk
Kin K. LeungTanaka Chair Professor, Imperial CollegeVerified email at imperial.ac.uk

Tong Wang

Yale University

Verified email at yale.edu

data mining machine learning interpretable machine learning


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
A Bayesian Framework for Learning Rule Sets for Interpretable Classification T Wang, C Rudin, F Doshi, Y Liu, E Klampfl, P MacNeille Journal of Machine Learning Research 18 (70), 1-37, 2017	321*	2017
Learning to detect patterns of crime T Wang, C Rudin, D Wagner, R Sevieri Machine Learning and Knowledge Discovery in Databases: European Conference …, 2013	163	2013
A Holistic Approach to Interpretability in Financial Lending: Models, Visualizations, and Summary-Explanations C Chen, K Lin, C Rudin, Y Shaposhnik, S Wang, T Wang Decision Support Systems, 2021	114*	2021
On the design of network coding for multiple two-way relaying channels Z Ding, T Wang, M Peng, W Wang, KK Leung IEEE Transactions on Wireless Communications 10 (6), 1820-1832, 2011	53	2011
Gaining Free or Low-Cost Transparency with Interpretable Partial Substitute T Wang International Conference on Machine Learning, 6505-6514, 2019	50*	2019
Detecting patterns of crime with series finder T Wang, C Rudin, D Wagner, R Sevieri Twenty-Seventh AAAI Conference on Artificial Intelligence Late Breaking, 2013	39	2013
Finding patterns with a rotten core: Data mining for crime series with cores T Wang, C Rudin, D Wagner, R Sevieri Big Data 3 (1), 3-21, 2015	37	2015
Outcomes associated with peripherally inserted central catheters in hospitalised children: a retrospective 7-year single-centre experience A Badheka, J Bloxham, A Schmitz, B Freyenberger, T Wang, S Rampa, ... BMJ open 9 (8), e026031, 2019	36	2019
Hybrid Predictive Model: When an Interpretable Model Collaborates with a Black-box Model T Wang, Q Lin Journal of Machine Learning Research 22, 2021	31	2021
Multi-value Rule Sets for Interpretable Classification with Feature-Efficient Representations T Wang (NeurIPS) Conference on Neural Information Processing Systems, 10858--10868, 2018	30*	2018
Causal Rule Sets for Identifying Subgroups with Enhanced Treatment Effects T Wang, C Rudin INFORMS Journal on Computing, 2022	28*	2022
Network coded storage with multi-resolution codes M Medard, UJ Ferner, T Wang US Patent 9,607,003, 2017	28	2017
Same-day delivery with fair customer service X Chen, T Wang, BW Thomas, MW Ulmer European journal of operational research 308 (2), 738-751, 2023	26*	2023
Learning optimized Or's of And's T Wang, C Rudin arXiv preprint arXiv:1511.02210, 2015	20	2015
Paralanguage classifier (PARA): An algorithm for automatic coding of paralinguistic nonverbal parts of speech in text AW Luangrath, Y Xu, T Wang Journal of Marketing Research 60 (2), 388-408, 2023	13	2023
Interpretable Companions for Black-Box Models D Pan, T Wang, S Hara AISTATS, 2020	12	2020
Interpretable Sequence Classification Via Prototype Trajectory D Hong, SS Baek, T Wang arXiv preprint arXiv:2007.01777, 2020	10*	2020
Augmented Fairness: An Interpretable Model Augmenting Decision-Makers' Fairness T Wang, M Saar-Tsechansky arXiv preprint arXiv:2011.08398, 2020	9	2020
Use of extracorporeal membrane oxygenation and associated outcomes in children hospitalized for sepsis in the United States: A large population-based study K Robb, A Badheka, T Wang, S Rampa, V Allareddy, V Allareddy PLoS One 14 (4), e0215730, 2019	9	2019
Dental anomaly detection using intraoral photos via deep learning R Ragodos, T Wang, C Padilla, JT Hecht, FA Poletta, IM Orioli, CJ Buxó, ... Scientific Reports 12 (1), 1-1, 2022	8	2022

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