Publications

194 results for Explainable AI

AI Explainability 360 Toolkit for Time-Series and Industrial Use Cases
- - Giridhar Ganapavarapu
  - Sumanta Mukherjee
  - et al.
- 2023
- KDD 2023
Tutorial
Incorporating Signal Awareness in Source Code Modeling: An Application to Vulnerability Detection
- - Sahil Suneja
  - Yufan Zhuang
  - et al.
- 2023
- ACM TOSEM
Paper
A historical perspective of biomedical explainable AI research
- - Luca Malinverno
  - Vesna Barros
  - et al.
- 2023
- Patterns
Review
ComplexWorld: A Large Language Model-based Interactive Fiction Learning Environment for Text-based Reinforcement Learning Agents
- - Shreyas Basavatia
  - Shivam Ratnakar
  - et al.
- 2023
- IJCAI 2023
Workshop paper
Explainable Neuro-Symbolic Reinforcement Learning
- - Daiki Kimura
  - Stefan Zecevic
  - et al.
- 2023
- IJCAI 2023
Workshop paper
Why are my Pizzas late?
- - Dirk Fahland
  - Fabiana Fournier
  - et al.
- 2023
- IJCAI 2023
Workshop paper
Introducing Trial-and-Error Exploration to Avoid Critical Failure for Efficient Reinforcement Learning
- - Minori Narita
  - Daiki Kimura
- 2023
- IJCAI 2023
Workshop paper
Bridging the Gap Between AI Planning and Reinforcement Learning (PRL @ IJCAI 2023)
- - Cameron Allen
  - Timo Gros
  - et al.
- 2023
- IJCAI 2023
Workshop
NSA: Neuro-Symbolic Agents Workshop
- - Daiki Kimura
  - Alessandra Russo
  - et al.
- 2023
- IJCAI 2023
Workshop
Generative Perturbation Analysis for Probabilistic Black-Box Anomaly Attribution
- - Tsuyoshi Idé
  - Naoki Abe
- 2023
- KDD 2023
Conference paper