Publications

163 results for Explainable AI

A neuro-vector-symbolic architecture for solving Raven’s progressive matrices
- - Michael Hersche
  - Mustafa Zeqiri
  - et al.
- 2023
- Nature Machine Intelligence
AUTOLYCUS: Exploiting Explainable AI (XAI) for Model Extraction Attacks against Decision Tree Models
- - Abdullah Caglar Oksuz
  - Anisa Halimi
  - et al.
- 2023
- NDSS 2023
Position Paper on Dataset Engineering to Accelerate Science
- 2023
- AAAI 2023
Deep Learning on Graphs: Methods and Applications (DLG-AAAI’23)
- - Lingfei Wu
  - Jian Pei
  - et al.
- 2023
- AAAI 2023
Physics-based multiple time-series univariate forecasting
- - Sumanta Mukherjee
  - Arindam Jati
  - et al.
- 2022
- Big Data 2022
Fooling Explanations in Text Classifiers
- - Adam Ivankay
  - Ivan Girardi
  - et al.
- 2022
- ICLR 2022
Combining explainable machine learning, demographic and multi-omic data to inform precision medicine strategies for inflammatory bowel disease
- - Laura-Jayne Gardiner
  - Anna Paola Carrieri
  - et al.
- 2022
- PLoS ONE
Explainability For Efficient And Trusted Decision Optimization
- - Kanthi Sarpatwar
  - Surya Shravan Kumar Sajja
  - et al.
- 2021
- INFORMS 2021
Addressing the Design Needs of Implementing Fairness in AI via Influence Functions
- - Brianna Richardson
  - Kush R. Varshney
- 2021
- INFORMS 2021
Robust Feature Based Model Agnostic Explainability For Time Series Forecasting
- - Vikas Raykar
  - Sumanta Mukherjee
  - et al.
- 2021
- INFORMS 2021