Position Paper on Dataset Engineering to Accelerate Science
- Emilio Ashton Vital Brazil
- Eduardo Almeida Soares
- et al.
- 2023
- AAAI 2023
Workshop paper
Publications
201 results for Explainable AI
Deep Learning on Graphs: Methods and Applications (DLG-AAAI’23)
- Lingfei Wu
- Jian Pei
- et al.
- 2023
- AAAI 2023
WorkshopPhysics-based multiple time-series univariate forecasting
- Sumanta Mukherjee
- Arindam Jati
- et al.
- 2022
- Big Data 2022
Conference paperFooling Explanations in Text Classifiers
- Adam Ivankay
- Ivan Girardi
- et al.
- 2022
- ICLR 2022
PosterCombining explainable machine learning, demographic and multi-omic data to inform precision medicine strategies for inflammatory bowel disease
- 2022
- PLoS ONE
PaperRobust Feature Based Model Agnostic Explainability For Time Series Forecasting
- Vikas Raykar
- Sumanta Mukherjee
- et al.
- 2021
- INFORMS 2021
TalkPrivacy preserving explanations for hierarchical time series forecasts
- Surya Shravan Kumar Sajja
- Sumanta Mukherjee
- et al.
- 2021
- INFORMS 2021
TalkExplainability For Efficient And Trusted Decision Optimization
- 2021
- INFORMS 2021
TalkOne Explanation Does Not Fit All: A Toolkit And Taxonomy Of AI Explainability Techniques
- Vijay Arya
- Rachel K. Bellamy
- et al.
- 2021
- INFORMS 2021
TalkAddressing the Design Needs of Implementing Fairness in AI via Influence Functions
- Brianna Richardson
- Kush R. Varshney
- 2021
- INFORMS 2021
Talk