Intrinsically interpretable Explainable AI

Time	Authors	Title
11:30-11:45	Benjamin Leblanc and Pascal Germain	Seeking Interpretability and Explainability in Binary Activated Neural Networks
11:45-12:00	Shreyasi Pathak, Jörg Schlötterer, Jeroen Veltman, Jeroen Geerdink, Maurice van Keulen and Christin Seifert	Prototype-based Interpretable Breast Cancer Prediction Models: Analysis and Challenges
12:00-12:15	Luisa Gallée, Catharina Silvia Lisson, Christoph Gerhard Lisson, Daniela Drees, Felix Weig, Daniel Vogele, Meinrad Beer and Michael Götz	Evaluating the Explainability of Attributes and Prototypes for a Medical Classification Model
12:15-12:30	Szymon Opłatek, Dawid Rymarczyk and Bartosz Zieliński	Revisiting FunnyBirds evaluation framework for prototypical parts networks
12:30-12:45	Teodor Chiaburu, Frank Haußer and Felix Bießmann	CoProNN: Concept-based Prototypical Nearest Neighbors for Explaining Vision Models

Event Timeslots (1)

Michel’ Angelo Grima Hall
11:30 am - 1:00 pm
CHAIRS: Bartosz Zielínski