HI-AI 2024
KDD Workshop on Human-Interpretable AI 2024

Table of Contents

• KDD Workshop on Human-Interpretable AI 2024
  Gabriele Ciravegna, Mateo Espiniza Zarlenga, Pietro Barbiero, Francesco Giannini, Zohreh Shams, Damien Garreau, Mateja Jamnik, Tania Cerquitelli.
  
  Summary: There were 19 papers submitted for peer-review to this workshop. Out of these, 14 papers were accepted and 11 papers were included in this volume.

Main Track

• Towards Fast Visual Explanations of Local Path Planning with LIME and GAN 1-7
  Amar Halilovic, Senka Krivić
• Using Longitudinal Data for Plausible Counterfactual Explanations 8-17
  Alexander Asemota, Giles Hooker
• Generative Models for Counterfactual Explanations 18-30
  Daniil Kirilenko, Pietro Barbiero, Martin Gjoreski, Mitja Luštrek, Marc Langheinrich
• Logically Explainable Malware Detection 31-42
  Peter Anthony, Francesco Giannini, Michelangelo Diligenti, Marco Gori, Martin Homola, Stefan Balogh, Ján Mojžiš
• MASALA: Model-Agnostic Surrogate Explanations by Locality Adaptation 43-59
  Saif Anwar, Nathan Griffiths, Abhir Bhalerao, Thomas Popham
• GLEAMS: Bridging the Gap Between Local and Global Explanations 60-73
  Giorgio Visani, Vincenzo Stanzione, Damien Garreau
• From Must to May: Enabling Test-Time Feature Imputation and Interventions 74-86
  Evan Rex, Mateo Espinosa Zarlenga, Andrei Margeloiu, Mateja Jamnik
• Evaluating the Reliability of Shapley Value Estimates: An Interval-Based Approach 87-94
  Davide Napolitano, Luca Cagliero
• Enhancing Interpretability in Multivariate Time Series Classification through Dimension and Feature Selection 95-101
  Zed Lee
• Sparse Oblique Decision Trees: A Tool to Understand and Manipulate Neural Net Features 102-116
  Suryabhan Singh Hada, Miguel Á. Carreira-Perpiñán, Arman Zharmagambetov
• Ontology-grounded Automatic Knowledge Graph Construction by LLM under Wikidata schema 117-135
  Xiaohan Feng, Xixin Wu, Helen Meng