Accepted Papers

Out of 26 submissions, the 13 papers below were accepted after reviewing. Each paper has got 2 or 3 review reports.

S10204

Counterfactual Explanation for Regression via Disentanglement in Latent Space

Xuan Zhao, Klaus Broelemann, and Gjergji Kasneci

S10205

The Issue of Baselines in Explainability Methods

George Ioannou and Andreas Stafylopatis

S10209

Human-Centered Evaluation of XAI Methods

Karm Dawoud, Wojciech Samek, Sebastian Lapuschkin, and Sebastian Bosse

S10210

SATTree: A SHAP-Augmented Threshold Tree for Clustering Explanation

Lige Gan, Bo Liu, Andrew Meng, Feng Zhang, and Guangzhi Qu

S10212

Debugging Malware Classification Models Based on Audit Logs with Explainable AI

Joon-young Gwak, Priti Wakodikar, Meng Wang, Guanhua Yan, Xiaokui Shu, Scott Stoller, and Ping Yang

S10213

A Rule-based Evaluation Method of Local Explainers for Predictive Process Monitoring

Ghada Elkhawaga, Mervat Abu-Elkheir, and Manfred Reichert

S10214

Explainable Artificial Intelligence for Interpretable Data Minimization

Maximilian Becker, Emrah Toprak, and Jürgen Beyerer

S10218

Recall and Selectivity Normalized in Class Labels as a Classification Performance Metric

Robert Burduk

S10220

RIXA - Explaining Artificial Intelligence in Natural Language

Maximilian Becker, Finn Schwall, Vishwesh Vishwesh, Sihan Wu, Pascal Birnstill, and Jürgen Beyerer

S10221

Explainable Multi-Modal and Local Approaches to Modelling Injuries in Sports Data

Dan Hudson, Ruud J. R. den Hartigh, L. Rens Meerhoff, and Martin Atzmueller

DM347

Image Attribution by Generating Images

Aniket singh and Anoop Namboodiri

DM385

Fast & Efficient Learning of Bayesian Networks from Data: Knowledge Discovery and Causality

Sein Minn and Shunkai Fu

DM771

Explainable Ensemble Machine Learning for Wheat Grain Identification

Małgorzata Charytanowicz