Samuel C. Hoffman
IBM (United States)(US)IBM Research - Thomas J. Watson Research Center(US)
Publications by Year
Research Areas
Explainable Artificial Intelligence (XAI), Computational Drug Discovery Methods, Ethics and Social Impacts of AI, Artificial Intelligence in Healthcare and Education, Adversarial Robustness in Machine Learning
Most-Cited Works
- → AI Fairness 360: An extensible toolkit for detecting and mitigating algorithmic bias(2019)761 cited
- → AI Fairness 360: An Extensible Toolkit for Detecting, Understanding, and Mitigating Unwanted Algorithmic Bias(2018)265 cited
- → One Explanation Does Not Fit All: A Toolkit and Taxonomy of AI Explainability Techniques(2019)263 cited
- → Fairness GAN: Generating datasets with fairness properties using a generative adversarial network(2019)134 cited
- → Optimizing molecules using efficient queries from property evaluations(2021)68 cited
- → Challenges and applications of artificial intelligence in infectious diseases and antimicrobial resistance(2025)62 cited
- CogMol: Target-Specific and Selective Drug Design for COVID-19 Using Deep Generative Models(2020)
- AI Explainability 360: An Extensible Toolkit for Understanding Data and Machine Learning Models(2020)
- → AI explainability 360(2020)55 cited