Finale Doshi‐Velez
Harvard University(US)
Publications by Year
Research Areas
Explainable Artificial Intelligence (XAI), Adversarial Robustness in Machine Learning, Machine Learning in Healthcare, Topic Modeling, Reinforcement Learning in Robotics
Most-Cited Works
- → Towards A Rigorous Science of Interpretable Machine Learning(2017)3,111 cited
- → Do no harm: a roadmap for responsible machine learning for health care(2019)910 cited
- → Improving the Adversarial Robustness and Interpretability of Deep Neural Networks by Regularizing Their Input Gradients(2018)452 cited
- → Comorbidity Clusters in Autism Spectrum Disorders: An Electronic Health Record Time-Series Analysis(2013)421 cited
- → The myth of generalisability in clinical research and machine learning in health care(2020)395 cited
- → Guidelines for reinforcement learning in healthcare(2018)354 cited
- → Ethical and regulatory challenges of large language models in medicine(2024)239 cited
- → How machine-learning recommendations influence clinician treatment selections: the example of antidepressant selection(2021)220 cited
- → Unfolding physiological state(2014)206 cited