IBM Research - Thomas J. Watson Research Center

Trustworthy machine learning and artificial intelligence

Kush R. Varshney

2019 · 69 Zit.

Human-centered explainability for life sciences, healthcare, and medical informatics

Sanjoy Kumer Dey, Prithwish Chakraborty, Bum Chul Kwon et al.

2022 · 41 Zit.

Bias in Artificial Intelligence

Yoonyoung Park, Jianying Hu

2023 · 17 Zit.

Automated Category and Trend Analysis of Scientific Articles on Ophthalmology Using Large Language Models: Development and Usability Study

Hina Raja, Asim Munawar, Nikolaos Mylonas et al.

2024 · 14 Zit.

Reports of the 2016 AAAI Workshop Program

Stefano V. Albrecht, Bruno Bouchard, John S. Brownstein et al.

2016 · 10 Zit.

Advances in Artificial Intelligence

Martin Charles Golumbic

1990 · 8 Zit.

Reprogrammable-FL: Improving Utility-Privacy Tradeoff in Federated Learning via Model Reprogramming

Huzaifa Arif, Alex Gittens, Pin‐Yu Chen

2023 · 6 Zit.

Trust and Reliance in Evolving Human-AI Workflows (TREW)

Zahra Ashktorab, Gagan Bansal, Zana Buçinca et al.

2024 · 5 Zit.

Algorithmic Fairness and AI Justice in Addressing Health Equity

Yoonyoung Park, Moninder Singh, Eileen Koski et al.

2022 · 4 Zit.

Addressing Health Equity: Sources, Impact and Mitigation of Biased Data

Eileen Koski, Fernando Suárez, Yoonyoung Park et al.

2022 · 1 Zit.

Correction to: Artificial Intelligence

Charu C. Aggarwal

2023 · 0 Zit.

Faculty Opinions recommendation of What do medical students actually need to know about artificial intelligence?

Raquel Norel

2020 · 0 Zit.

Large language models enhance reinforcement learning for public health resource allocation

Hao Yang, Chijun Zhang, Feiyang Yang et al.

2026 · 0 Zit.