Tong Wang 个人学术档案 - 学术资源搜索

引用次数

	总计	2019 年至今
引用	1304	1026
h 指数	16	15
i10 指数	22	21

260

130

195

201220132014201520162017201820192020202120222023202411 19 20 42 40 61 70 110 159 156 234 246 118

开放获取的出版物数量

查看全部

2 篇文章

0 篇文章

可查看的文章

无法查看的文章

根据资助方的强制性开放获取政策

合著作者

Cynthia RudinProfessor of Computer Science, ECE, Statistics, and Biostatistics & Bioinformatics, Duke University在 cs.duke.edu 的电子邮件经过验证
Finale Doshi-VelezProfessor, Harvard在 seas.harvard.edu 的电子邮件经过验证
Perry MacNeilleResearch Engineer, Ford Motor Company在 ford.com 的电子邮件经过验证
Yaron ShaposhnikUniversity of Rochester在 simon.rochester.edu 的电子邮件经过验证
Kangcheng LinPh.D. Student, University of Illinois at Urbana-Champaign在 illinois.edu 的电子邮件经过验证
Qihang LinThe University of Iowa在 uiowa.edu 的电子邮件经过验证
Muriel MedardProfessor of EECS, MIT在 mit.edu 的电子邮件经过验证
Sankeerth RampaAssociate Professor Health Care Administration, Rhode Island College在 ric.edu 的电子邮件经过验证
Veerajalandhar AllareddyDuke University在 duke.edu 的电子邮件经过验证
Veerasathpurush AllareddyUniversity of Illinois at Chicago College of Dentistry在 uic.edu 的电子邮件经过验证
Chaofan ChenAssistant Professor of Computer Science, University of Maine在 maine.edu 的电子邮件经过验证
Aditya BadhekaUniversity of Iowa在 uiowa.edu 的电子邮件经过验证
Ronilo RagodosUniversity of Iowa在 uiowa.edu 的电子邮件经过验证
Dat HongYale University, School of Management在 yale.edu 的电子邮件经过验证
Yu Jeffrey HuProfessor, Accenture Chair, Purdue University在 purdue.edu 的电子邮件经过验证
Fujie JinIndiana University在 indiana.edu 的电子邮件经过验证
Barrett W. ThomasProfessor, Department of Business Analytics, University of Iowa在 uiowa.edu 的电子邮件经过验证
Marlin W. UlmerProfessor of Management Science, Otto-von-Guericke-Universität Magdeburg在 ovgu.de 的电子邮件经过验证
Xinwei ChenBucknell University在 bucknell.edu 的电子邮件经过验证
Maytal Saar-TsechanskyThe University of Texas at Austin在 mccombs.utexas.edu 的电子邮件经过验证

关注

Tong Wang

Yale University

在 yale.edu 的电子邮件经过验证 - 首页

interpretable machine learning reinforcement learning quantitative marketing


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
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	358*	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	176	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	150*	2021
Gaining Free or Low-Cost Transparency with Interpretable Partial Substitute T Wang International Conference on Machine Learning, 6505-6514, 2019	68*	2019
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
Hybrid Predictive Model: When an Interpretable Model Collaborates with a Black-box Model T Wang, Q Lin Journal of Machine Learning Research 22, 2021	44	2021
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	44	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	40	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	38	2015
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	37*	2023
Causal Rule Sets for Identifying Subgroups with Enhanced Treatment Effects T Wang, C Rudin INFORMS Journal on Computing, 2022	34*	2022
Multi-value Rule Sets for Interpretable Classification with Feature-Efficient Representations T Wang (NeurIPS) Conference on Neural Information Processing Systems, 10858--10868, 2018	32*	2018
Network coded storage with multi-resolution codes M Medard, UJ Ferner, T Wang US Patent 9,607,003, 2017	29	2017
Learning optimized Or's of And's T Wang, C Rudin arXiv preprint arXiv:1511.02210, 2015	23	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	22	2023
Interpretable Companions for Black-Box Models D Pan, T Wang, S Hara AISTATS, 2020	17	2020
ProtoryNet-Interpretable Text Classification Via Prototype Trajectories D Hong, T Wang, S Baek Journal of Machine Learning Research 24 (264), 1-39, 2023	16*	2023
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	15	2022
Evaluating the Effectiveness of Marketing Campaigns for Malls Using A Novel Interpretable Machine Learning Model T Wang, C He, F Jin, YJ Hu Information Systems Research, 2021	15	2021
Augmented Fairness: An Interpretable Model Augmenting Decision-Makers' Fairness T Wang, M Saar-Tsechansky arXiv preprint arXiv:2011.08398, 2020	12	2020

系统目前无法执行此操作，请稍后再试。

文章 1–20

每年引用数

重复的引用

合并的引用

添加合著者合著作者

上传 PDF

关注此作者

引用次数

合著作者

引用