xAI-2024:LB/D/DC

Table of Contents

• Preface PDF
  Luca Longo, Weiru Liu, Grégoire Montavon
• Explainable Artificial Intelligence Beyond Feature Attributions: The Validity and Reliability of Feature Selection Explanations 1-8 PDF
  Stephan Matzka, Ricardo Knauer, Raphael Wallsberger
• Shapley values and fairness 9-16 PDF
  Parvati Neelakantan, Paolo Giudici
• Perception and Consideration of the Explainees’ Needs for Satisfying Explanations 17-24 PDF
  Michael Erol Schaffer, Heike M. Buhl, Carsten Schulte 0001, Lutz Terfloth
• A proposal for improving EEG microstate generation via interpretable deep clustering with convolutional autoencoders 25-32 PDF
  Luca Longo, Arjun Vinayak Chikkankod
• Faithful Attention Explainer: Verbalizing Decisions Based on Discriminative Features 33-40 PDF
  David Scheerer, Yao Rong, Enkelejda Kasneci
• Use Bag-of-Patterns Approach to Explore Learned Behaviors of Reinforcement Learning 41-48 PDF
  Gulsum Alicioglu, Bo Sun (disambiguation)
• Generate Explanations for Time-series classification by ChatGPT 49-56 PDF
  Hongnan Ma, Zhechang Xue, Yiran Huang (disambiguation), Michael Beigl
• Model agnostic calibration of image classifiers 57-64 PDF
  Paolo Giudici, Giulia Vilone
• Interpreting Black-Box Time Series Classifiers using Parameterised Event Primitives 65-72 PDF
  Luca Longo, Ephrem Tibebe Mekonnen, Pierpaolo Dondio
• Patch-based Intuitive Multimodal Prototypes Network (PIMPNet) for Alzheimer’s Disease classification 73-80 PDF
  Lisa Anita De Santi, Christin Seifert, Meike Nauta, Jörg Schlötterer, Vincenzo Positano
• AnyCBMs: How to Turn Any Black Box into a Concept Bottleneck Model 81-88 PDF
  Martin Gjoreski, Francesco Giannini, Pietro Barbiero, Gabriele Dominici, Marc Langheinrich
• Online Explainable Ensemble of Tree Models Pruning for Time Series Forecasting 89-96 PDF
  Amal Saadallah
• Towards Mechanistic Interpretability for Autoencoder compression of EEG signals 97-104 PDF
  Mario Brcic, Leon Hegedic, Martin Ante Rogosic, Luka Hobor, Nikola Maric
• Integrating XAI for Predictive Conflict Analytics 105-112 PDF
  Edoardo Carroccetto, Paola Pisano, Marco Tagliapietra, Andrea Cosentini, Greta Greco, Luca Macis, Daniele Regoli, Alessandro Castelnovo
• Interpretable Vital Sign Forecasting with Model Agnostic Attention Maps 113-120 PDF
  Anubhav Bhatti, Divij Gupta, Chen Dan 0005, Surajsinh Parmar, Bingjie Shen, Yuwei Liu (disambiguation), San Lee
• Towards Assurance of LLM Adversarial Robustness using Ontology-Driven Argumentation 121-128 PDF
  Dian Balta, Mark Purcell, Beat Buesser, Giulio Zizzo, Tomas Bueno Momcilovic
• Looking for the Right Paths to Use XAI in the Judiciary. Which Branches of Law Need Inherently Interpretable Machine Learning Models and Why? 129-136 PDF
  Andrzej Porebski
• The Dynamics of Explainability: Diverse Insights from SHAP Explanations using Neighbourhoods 137-144 PDF
  Ruairi O'Reilly, Christian Beder, Urja Pawar, Donna O'Shea
• Enhancing the analysis of the P300 event-related potential with integrated gradients on a convolutional neural network trained with superlets 145-152 PDF
  Luca Longo, Vladimir Marochko
• Exploring Commonalities in Explanation Frameworks: A Multi-Domain Survey Analysis 153-160 PDF
  Raul Vicente, Eduard Barbu, Marharyta Domnich, Nikos Sakkas
• Investigating Neuron Ablation in Attention Heads: The Case for Peak Activation Centering 161-168 PDF
  Nicholas Pochinkov, Ben Pasero, Skylar Shibayama
• CatBoost model with self-explanatory capabilities for predicting SLE in OMAN population 169-176 PDF
  Hamza Zidoum, Aliya Al-Ansari, Ali AlShareedah, Batool Al-Lawati, Sumaya Al-Sawafi
• Channel Modeling for Millimeter-Wave UAV Communication based on Explainable Generative Neural Network 177-184 PDF
  Ladan Gholami, Alberto Gotta, Pietro Ducange, Pietro Cassarà
• Validation of ML Models from the Field of XAI for Computer Vision in Autonomous Driving 185-192 PDF
  Sibylle D. Sager-Müller, Antonio Mastroianni
• Second Glance: A Novel Explainable AI to Understand Feature Interactions in Neural Networks using Higher-Order Partial Derivatives 193-200 PDF
  Zohaib Shahid, Safak Dogan, Yo Rahul
• Mediating Explainer for Human Autonomy Teaming 201-208 PDF
  Christopher J. Stanton, Siri Padmanabhan Poti
• Exploring Agent Behaviors in Network Security through Trajectory Clustering 209-216 PDF
  Sebastián García, Ondrej Lukás
• A geometric XAI approach to protein pocket detection 217-224 PDF
  Carmen Gratteri, Gianluca Palermo, Giovanni Bocchi, Carmine Talarico, Anna Fava, Filippo Lunghini, Alessandra Micheletti, Davide Gadioli, Andrea Beccari, Alessandro Pedretti, Patrizio Frosini
• An Empirical Investigation of Users’ Assessment of XAI Explanations: Identifying the Sweet Spot of Explanation Complexity and Value 225-232 PDF
  Philipp Cimiano, Christoph Düsing, Felix Liedeker, Marcel Nieveler
• A Two-Stage Algorithm for Cost-Efficient Multi-instance Counterfactual Explanations 233-240 PDF
  André Artelt, Andreas Gregoriades
• Interactive xAI-dashboard for Semantic Segmentation 241-248 PDF
  Sibylle D. Sager-Müller, Finn Schürmann
• XAI for Group-AI Interaction: Towards Collaborative and Inclusive Explanations 249-256 PDF
  Mohammad Naiseh, Ganesh Vigneswaran, Navamayooran Thavanesan, Timothy J. Underwood, Zoë Walters, Catherine Webb, Gopal Ramchurn
• Unraveling Anomalies: Explaining Outliers with DTOR 257-264 PDF
  Andrea Cirillo, Daniele Regoli, Riccardo Crupi, Andrea Cosentini, Massimiliano Brinis, Immacolata Marano, Luca Albertazzi, Alessandro Damiano Sabatino
• CaBRNet, An Open-Source Library For Developing And Evaluating Case-Based Reasoning Models 265-272 PDF
  Alban Grastien, Zakaria Chihani, Julien Girard-Satabin, Aymeric Varasse, Romain Xu-Darme
• XAgent: A Conversational XAI Agent Harnessing the Power of Large Language Models 273-280 PDF
  Christin Seifert, Jörg Schlötterer, Van Bach Nguyen
• mlr3summary: Concise and interpretable summaries for machine learning models 281-288 PDF
  Marc Becker, Bernd Bischl, Giuseppe Casalicchio, Susanne Dandl, Ludwig Bothmann
• Democratizing Advanced Attribution Analyses of Generative Language Models with the Inseq Toolkit 289-296 PDF
  Nils Feldhus, Gabriele Sarti, Jirui Qi, Arianna Bisazza, Malvina Nissim
• Human-in-the-loop testing of the explainability of robot navigation algorithms in extended reality 297-304 PDF
  Jerome Guzzi, Alessandro Giusti
• Rulex Platform: leveraging domain knowledge and data-driven rules to support decisions in the fintech sector through eXplainable AI models 305-312 PDF
  Marco Muselli, Claudio Muselli, Claire Thomas Gaggiotti, Damiano Verda, Enrico Ferrari
• Building Personalised XAI Experiences Through iSee: a Case-Based Reasoning-Driven Platform 313-320 PDF
  Ikechukwu Nkisi-Orji, Derek G. Bridge, Anne Liret, Nirmalie Wiratunga, Belén Díaz-Agudo, Bruno Fleisch, Jesus M. Darias, Craig Pirie, Anjana Wijekoon, Juan A. Recio-García, David Corsar, Marta Caro-Martínez, Kyle Martin, Preeja Pradeep, Chamath Palihawadana
• Fostering Human-AI interaction: development of a Clinical Decision Support System enhanced by eXplainable AI and Natural Language Processing 321-328 PDF
  Laura Bergomi
• Optimizing Synthetic Data from Scarcity: Towards Meaningful Data Generation in High-Dimensional Low-Sample Size Domains 329-336 PDF
  Danilo Danese
• Assesing the Interpretability of the Statistical Radiomic Features via Image Saliency Maps in Medical Image Classification Tasks 337-344 PDF
  Oleksandr Davydko
• Explainable AI as a Crucial Factor for Improving Human-AI Decision-Making Processes 345-352 PDF
  Regina De Brito Duarte
• Counterfactual generating Variational Autoencoder for Anomaly Detection 353-360 PDF
  Renate Ernst
• Privacy Implications of Explainable AI in Data-Driven Systems 361-368 PDF
  Fatima Ezzeddine
• XAI-driven Model Improvements in Interpretable Image Segmentation 369-376 PDF
  Rokas Gipiskis
• Design Guidelines for XAI in the Healthcare Domain 377-384 PDF
  Iris Heerlien
• Explainable MLOps: A Methodological Framework for the Development of Explainable AI in Practice 385-392 PDF
  Annemarie Jutte
• A Novel Model-Agnostic xAI Method Guided by Cost-Sensitive Tree Models and Argumentative Decision Graphs 393-400 PDF
  Marija Kopanja
• Explainable Artificial Intelligence and Reasoning in the Context of Large Neural Network Models 401-408 PDF
  Stefanie Krause
• Artificial Representative Trees as Interpretable Surrogates for Random Forests 409-416 PDF
  Lea Louisa Kronziel
• Can Reduction of Bias Decrease the Need for Explainability? Working with Simplified Models to Understand Complexity 417-424 PDF
  Pedro M. Marques
• Towards XAI for Optimal Transport 425-432 PDF
  Philip Naumann
• Knowledge Graphs and Explanations for Improving Detection of Diseases in Images of Grains 433-440 PDF
  Lenka Tetková
• Topological Data Analysis for Trustworthy AI 441-448 PDF
  Victor Toscano-Durán
• Explainable Deep Reinforcement Learning through Introspective Explanations 449-456 PDF
  Nils Wenninghoff
• Explainable and Debiased Misogyny Identification In Code-Mixed Hinglish using Artificial Intelligence Models 457-464 PDF
  Sargam Yadav