Improving the Performance and Explainability of Mammogram Classifiers with Local Annotations
- Lior Ness
- Ella Barkan
- et al.
- 2020
- MICCAI 2020
Publications
823 results for Trustworthy AI
Explainability of Intelligent Transportation Systems using Knowledge Compilation: A Traffic Light Controller Case
- Salomón Wollenstein-Betech
- Christian Muise
- et al.
- 2020
- ITSC 2020
Directly Interpretable AI Models With User Constraints
- Rahul Nair
- Elizabeth Daly
- et al.
- 2020
- INFORMS 2020
Explainable AI based interventions for pre-season decision making in fashion retail
- Surya Shravan Kumar Sajja
- Nupur Aggarwal
- et al.
- 2020
- INFORMS 2020
Human Cognitive Biases in Interpreting Machine Learning
- Charvi Rastogi
- Yunfeng Zhang
- et al.
- 2020
- INFORMS 2020
Explainable hyper-local demand sensing for fashion retail
- 2020
- INFORMS 2020
Empirical and Theoretical Relationships Among Pillars of Trustworthy Machine Learning
- Kush R. Varshney
- Moninder Singh
- 2020
- INFORMS 2020
A Primer on Zeroth-Order Optimization in Signal Processing and Machine Learning: Principals, Recent Advances, and Applications
- Sijia Liu
- Pin-Yu Chen
- et al.
- 2020
- IEEE SPM
Characterization of Overlap in Observational Studies
- Michael Oberst
- Fredrik D. Johansson
- et al.
- 2020
- AISTATS 2020
Optimized Score Transformation for Fair Classification
- 2020
- AISTATS 2020