Chirag Shah

Chirag Shah

Professor, University of Washington
在 uw.edu 的电子邮件经过验证
被引用次数：8240
Search Recommender Systems Information Retrieval Fairness in ML Responsible AI
Sami Zhioua

Sami Zhioua

INRIA, LIX, École Polytechnique, Paris, France
在 lix.polytechnique.fr 的电子邮件经过验证
被引用次数：939
Fairness in ML Privacy Enhancing Technologies SCADA security
Shaina Raza , PhD

Shaina Raza , PhD

Vector Institute of Artificial Intelligence, University of Toronto
在 vectorinstitute.ai 的电子邮件经过验证
被引用次数：925
Safe and Responsible LLM Recommender Systems Public Health Equity Fairness in ML Bias
Amin Adibi

Amin Adibi

Research Scientist, University of British Columbia
在 ubc.ca 的电子邮件经过验证
被引用次数：880
Health Equity Clinical Prediction Models Responsible AI Fairness in ML Health Outcome
Kalia Orphanou

Kalia Orphanou

Cyprus Institute of Neurology and Genetics
在 cing.ac.cy 的电子邮件经过验证
被引用次数：394
machine learning Bayesian networks fairness in ML temporal abstraction biomedical applications
Yijun Bian

Yijun Bian

University of Copenhagen
在 di.ku.dk 的电子邮件经过验证
被引用次数：177
Ensemble Learning Machine Learning Fairness in ML
Chitradeep Dutta Roy

Chitradeep Dutta Roy

Brown University
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被引用次数：147
Fairness in ML Representation learning Interpretable ML
Rohan Sukumaran

Rohan Sukumaran

Universite de Montreal / Mila, PathCheck Foundation, Indian Institute of Information …
在 iiits.in 的电子邮件经过验证
被引用次数：147
Generative Modeling Privacy Preserving ML Fairness in ML Deep Learning
Eve Fleisig

Eve Fleisig

UC Berkeley
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被引用次数：118
Natural Language Processing Deep Learning Ethical AI Fairness in ML
Lin Li

Lin Li

Monash University
在 monash.edu 的电子邮件经过验证
被引用次数：102
Learning Analytics Fairness in ML Recommender System
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