Fooling Explanations in Text Classifiers
- Adam Ivankay
- Ivan Girardi
- et al.
- 2022
- ICLR 2022
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148 results for Explainable AI
Combining explainable machine learning, demographic and multi-omic data to inform precision medicine strategies for inflammatory bowel disease
- 2022
- PLoS ONE
Privacy preserving explanations for hierarchical time series forecasts
- Surya Shravan Kumar Sajja
- Sumanta Mukherjee
- et al.
- 2021
- INFORMS 2021
Robust Feature Based Model Agnostic Explainability For Time Series Forecasting
- Vikas Raykar
- Sumanta Mukherjee
- et al.
- 2021
- INFORMS 2021
One Explanation Does Not Fit All: A Toolkit And Taxonomy Of AI Explainability Techniques
- 2021
- INFORMS 2021
Explainability For Efficient And Trusted Decision Optimization
- 2021
- INFORMS 2021
Addressing the Design Needs of Implementing Fairness in AI via Influence Functions
- Brianna Richardson
- Kush R. Varshney
- 2021
- INFORMS 2021
Leveraging Latent Features for Local Explanations
- Ronny Luss
- Pin-Yu Chen
- et al.
- 2021
- KDD 2021
Applied Data Science for Healthcare
- Fei Wang
- Prithwish Chakraborty
- et al.
- 2021
- KDD 2021
Explainability for Natural Language Processing
- Marina Danilevsky
- Shipi Dhanorkar
- et al.
- 2021
- KDD 2021