Conference Proceedings/Journal Articles

1. [ECAI 2024] Towards the New XAI: A Hypothesis-Driven Approach to Decision Support Using Evidence
   Thao Le, Tim Miller, Liz Sonenberg, Ronal Singh.
   European Conference on Artificial Intelligence (ECAI). Main Track. Acceptance Rate: 547/2,344 (23%).
   Santiago de Compostela. Spain.
   [Paper]


2. [AAAI 2023] Explaining Model Confidence Using Counterfactuals
   Thao Le, Tim Miller, Ronal Singh, Liz Sonenberg.
   Association for the Advancement of Artificial Intelligence (AAAI). Main Track. Acceptance Rate: 1,721/8,777 (19.6%).
   Washington DC, USA.
   [Paper]


3. [JAIR 2021] Goal Recognition for Deceptive Human Agents through Planning and Gaze
   Thao Le, Ronal Singh, Tim Miller.
   Journal of Artificial Intelligence Research. IJCAI 2022 Journal Track.
   [Paper]

Peer-Reviewed Workshops/Doctoral Consortia

1. [AAAI DC 2023] Explaining the Uncertainty in AI-Assisted Decision Making
   Thao Le.
   AAAI Doctoral Consortium.
   Washington DC, USA.
   [Paper]
2. [XAI-IJCAI 2022] Improving Model Understanding and Trust with Counterfactual Explanations of Model Confidence
   Thao Le, Tim Miller, Ronal Singh, Liz Sonenberg.
   International Joint Conference on Artificial Intelligence (IJCAI-ECAI). Workshop on Explainable Artificial Intelligence.
   Vienna, Austria.
   [Paper]

Preprints

1. Visual Evaluative AI: A Hypothesis-Driven Tool with Concept-Based Explanations and Weight of Evidence
   Thao Le, Tim Miller, Ruihan Zhang, Liz Sonenberg, Ronal Singh.
   [Paper] [Code]