13:30 - 13:40 - Introduction
Simeon Simoff and Inna KolyshkinaDownload: slides
13:40 - 14:20 - Interpretability of Machine Learning Models for Health Data - A Case Study
George Michalopoulos, Sujan Subendran, Yang Yang, Robert R. Quinn, Matthew J. Oliver, Zahid Butt, Alexander Wong, and Helen H. ChenDownload: paper, slides
14:20 - 15:00 - RecommenDARE: Explaining and Improving Media Recommendations
Nishat Shama and Tomas TrescakDownload: paper, slides
15:00 - 15:40 - CAPTION: Correction by Analyses, POS -Tagging and Interpretation of Objects using only Nouns
Leonardo Anjoletto Ferreira, Douglas De Rizzo Meneghetti and Paulo Eduardo SantosDownload: paper, slides
15:40 - 16:00 - Coffee break
16:00 - 16:40 - Learning Probabilistic Rules for Answering Why-Questions
Abdus Salam, Rolf Schwitter, and Mehmet A. OrgunDownload: paper, slides
16:40 - 17:00 - Discussion and Conclusion
Simeon Simoff and Inna KolyshkinaDownload: slides