| AI Fairness 360: An Extensible Toolkit for Detecting and Mitigating Algorithmic Bias RKE Bellamy, K Dey, M Hind, SC Hoffman, S Houde, K Kannan, P Lohia, ... IBM Journal of Research and Development, 2019 | 1762 | 2019 |
| System, method, and business methods for enforcing privacy preferences on personal-data exchanges across a network KA Bohrer, CA Chess, RL Hoch, J Karat, D Kesdogan, X Liu, ... US Patent 7,478,157, 2009 | 560 | 2009 |
| One Explanation Does Not Fit All: A Toolkit and Taxonomy of AI Explainability Techniques V Arya, RKE Bellamy, PY Chen, A Dhurandhar, M Hind, SC Hoffman, ... arXiv preprint arXiv:1909.03012, 2019 | 521 | 2019 |
| Construction of Bayesian Network Structures from Data: a Brief Survey and an Efficient Algorithm M Singh, M Valtorta International journal of approximate reasoning 11, 1-158, 1994 | 282 | 1994 |
| Framework for security and privacy in automotive telematics S Duri, M Gruteser, X Liu, P Moskowitz, R Perez, M Singh, JM Tang Proceedings of the 2nd international workshop on Mobile commerce, 25-32, 2002 | 247 | 2002 |
| Learning goal oriented Bayesian networks for telecommunications risk management KJ Ezawa, M Singh, SW Norton ICML, 139-147, 1996 | 225 | 1996 |
| Method, system, and apparatus for dynamic data-driven privacy policy protection and data sharing SS Duri, JG Elliott, X Liu, PA Moskowitz, GV Salmi, M Singh, JM Tang US Patent 7,401,233, 2008 | 211 | 2008 |
| Method and knowledge structures for reasoning about concepts, relations, and rules L Gong, L Morgenstern, ET Mueller, D Riecken, M Singh US Patent 7,447,667, 2008 | 197 | 2008 |
| An algorithm for the construction of Bayesian network structures from data M Singh, M Valtorta Uncertainty in Artificial Intelligence, 259-265, 1993 | 158 | 1993 |
| Teaching AI Agents Ethical Values Using Reinforcement Learning and Policy Orchestration R Noothigattu, D Bouneffouf, N Mattei, R Chandra, P Madan, K Varshney, ... IBM Journal of Research & Development, 2019 | 144* | 2019 |
| Efficient learning of selective Bayesian network classifiers M Singh, GM Provan Proceedings of the Thirteenth International Conference on International …, 1996 | 141 | 1996 |
| Ai explainability 360 toolkit V Arya, RKE Bellamy, PY Chen, A Dhurandhar, M Hind, SC Hoffman, ... Proceedings of the 3rd ACM India Joint International Conference on Data …, 2021 | 115 | 2021 |
| Secure system and method for enforcement of privacy policy and protection of confidentiality SS Duri, X Liu, PA Moskowitz, R Perez, EG Schonberg, M Singh, ... US Patent 7,353,532, 2008 | 95 | 2008 |
| Winning the KDD cup orange challenge with ensemble selection A Niculescu-Mizil, C Perlich, G Swirszcz, V Sindhwani, Y Liu, P Melville, ... Proceedings of the 2009 International Conference on KDD-Cup 2009-Volume 7, 23-34, 2009 | 90 | 2009 |
| One explanation does not fit all: a toolkit and taxonomy of AI explainability techniques (2019) V Arya, RKE Bellamy, PY Chen, A Dhurandhar, M Hind, SC Hoffman, ... URL https://arxiv. org/abs, 1909 | 90 | 1909 |
| Comparison of Methods to Reduce Bias From Clinical Prediction Models of Postpartum Depression Y Park, J Hu, M Singh, I Sylla, I Dankwa-Mullan, E Koski, AK Das JAMA Network Open 4 (4), e213909-e213909, 2021 | 86 | 2021 |
| Secure system and method for enforcement of privacy policy and protection of confidentiality SS Duri, MO Gruteser, X Liu, PA Moskowitz, R Perez, EG Schonberg, ... US Patent 7,401,352, 2008 | 83 | 2008 |
| Learning Bayesian networks using feature selection GM Provan, M Singh Learning from Data, 291-300, 1996 | 74 | 1996 |
| Your Fairness May Vary: Pretrained Language Model Fairness in Toxic Text Classification I Baldini, D Wei, KN Ramamurthy, M Yurochkin, M Singh | 71 | 2021 |
| Statistical methods for automated generation of service engagement staffing plans J Hu, BK Ray, M Singh IBM Journal of Research and Development 51 (3.4), 281-293, 2007 | 68 | 2007 |
Kush R. VarshneyIBM Research確認したメール アドレス: us.ibm.com