Publications

Ruihan Zhang, Prashan Madumal, Tim Miller, Kris Ehinger, Benjamin I. P. Rubinstein (2020). Improving Interpretability of CNN Models Using Non-Negative Concept Activation Vectors.

Prashan Madumal, Tim Miller, Liz Sonenberg, Frank Vetere (2020). Explainable Reinforcement Learning Through a Causal Lens. AAAI Press.

PDF Proceedings

Prashan Madumal (2020). Explainable Agency in Reinforcement Learning Agents. AAAI Press.

PDF Proceedings

Prashan Madumal, Tim Miller, Liz Sonenberg, Frank Vetere (2020). Distal Explanations for Explainable Reinforcement Learning Agents.

Joshua Newn, Ronal Rajneshwar Singh, Fraser Allison, Prashan Madumal, Eduardo Velloso, Frank Vetere (2019). Nonverbal Communication in Human-AI Interaction: Opportunities and Challenges. Cardiff University Press.

PDF Proceedings

Joshua Newn, Ronal Rajneshwar Singh, Fraser Allison, Prashan Madumal, Eduardo Velloso, Frank Vetere (2019). Designing Interactions with Intention-Aware Gaze-Enabled Artificial Agents. Springer.

PDF Proceedings

Prashan Madumal (2019). Explainable Agency in Intelligent Agents: Doctoral Consortium. ACM.

PDF Proceedings

Prashan Madumal, Tim Miller, Liz Sonenberg, Frank Vetere (2019). A Grounded Interaction Protocol for Explainable Artificial Intelligence. ACM.

PDF Proceedings

Prashan Madumal, Ronal Rajneshwar Singh, Joshua Newn and, Frank Vetere (2018). Interaction design for explainable AI: workshop proposal. ACM.

PDF Proceedings

Prashan Madumal, Tim Miller, Frank Vetere, Liz Sonenberg (2018). Towards a Grounded Dialog Model for Explainable Artificial Intelligence.

PDF Proceedings

Prashan Madumal, DAS Atukorale, TMHA Usoof (2016). Adaptive event tree-based hybrid CEP computational model for Fog computing architecture. IEEE.

PDF Proceedings

Yasith Lokuge, Prashan Madumal, Tharindu Kumara, Naveen Ranasinghe (2014). Indoor navigation framework for mapping and localization of multiple robotic wheelchairs. IEEE.

PDF Proceedings