Title
Why do explanations fail? A typology and discussion on failures in XAI Clara Bove Thibault Laugel Marie-Jeanne Lesot C. Tijus Marcin Detyniecki 71 3 0 22 May 2024
A machine learning framework for interpretable predictions in patient pathways: The case of predicting ICU admission for patients with symptoms of sepsis Sandra Zilker Sven Weinzierl Mathias Kraus Patrick Zschech Martin Matzner 50 8 0 21 May 2024
Explainable offline automatic signature verifier to support forensic handwriting examiners Moisés Díaz M. A. Ferrer-Ballester G. Vessio 84 4 0 21 May 2024
Overlap Number of Balls Model-Agnostic CounterFactuals (ONB-MACF): A Data-Morphology-based Counterfactual Generation Method for Trustworthy Artificial Intelligence José Daniel Pascual-Triana Alberto Fernández Javier Del Ser Francisco Herrera 80 1 0 20 May 2024
A Multi-Modal Explainability Approach for Human-Aware Robots in Multi-Party Conversation Iveta Becková Stefan Pócos Giulia Belgiovine Marco Matarese A. Sciutti Carlo Mazzola Carlo Mazzola 130 0 0 20 May 2024
Degree of Irrationality: Sentiment and Implied Volatility Surface Jiahao Weng Yan Xie 34 0 0 20 May 2024
Explainable Facial Expression Recognition for People with Intellectual Disabilities Silvia Ramis Guarinos Cristina Manresa Yee Jose Maria Buades Rubio F. X. Gaya-Morey CVBM 43 3 0 19 May 2024
Generative Artificial Intelligence: A Systematic Review and Applications S. S. Sengar Affan Bin Hasan Sanjay Kumar Fiona Carroll MedIm 76 74 0 17 May 2024
Challenging the Human-in-the-loop in Algorithmic Decision-making Sebastian Tschiatschek Eugenia Stamboliev Timothée Schmude Mark Coeckelbergh Laura M. Koesten 87 1 0 17 May 2024
Tell me more: Intent Fulfilment Framework for Enhancing User Experiences in Conversational XAI A. Wijekoon D. Corsar Nirmalie Wiratunga Kyle Martin Pedram Salimi 96 2 0 16 May 2024
Mitigating Text Toxicity with Counterfactual Generation Milan Bhan Jean-Noel Vittaut Nina Achache Victor Legrand Nicolas Chesneau A. Blangero Juliette Murris Marie-Jeanne Lesot MedIm 215 0 0 16 May 2024
CIER: A Novel Experience Replay Approach with Causal Inference in Deep Reinforcement Learning Jingwen Wang Dehui Du Yida Li Yiyang Li Yikang Chen AI4TS CML 32 0 0 14 May 2024
Integrating supervised and unsupervised learning approaches to unveil critical process inputs Paris Papavasileiou Dimitrios G. Giovanis Gabriele Pozzetti M. Kathrein Christoph Czettl Ioannis G. Kevrekidis A. Boudouvis Stéphane P. A. Bordas E. D. Koronaki 47 3 0 13 May 2024
Evaluating the Explainable AI Method Grad-CAM for Breath Classification on Newborn Time Series Data Camelia Oprea Mike Grüne Mateusz Buglowski Lena Olivier Thorsten Orlikowsky Stefan Kowalewski M. Schoberer André Stollenwerk AI4TS 64 0 0 13 May 2024
Towards a Novel Measure of User Trust in XAI Systems Miquel Miró-Nicolau Gabriel Moyà Alcover Antoni Jaume-i-Capó Manuel González Hidalgo Adel Ghazel Maria Gemma Sempere Campello Juan Antonio Palmer Sancho 55 0 0 09 May 2024
Overcoming Anchoring Bias: The Potential of AI and XAI-based Decision Support Felix Haag Carlo Stingl Katrin Zerfass K. Hopf Thorsten Staake 49 5 0 08 May 2024
Relevant Irrelevance: Generating Alterfactual Explanations for Image Classifiers Silvan Mertes Tobias Huber Christina Karle Katharina Weitz Ruben Schlagowski Cristina Conati Elisabeth André 79 0 0 08 May 2024
False Sense of Security in Explainable Artificial Intelligence (XAI) N. C. Chung Hongkyou Chung Hearim Lee L. Brocki Hongbeom Chung George C. Dyer 108 2 0 06 May 2024
Interpretable Network Visualizations: A Human-in-the-Loop Approach for Post-hoc Explainability of CNN-based Image Classification Matteo Bianchi Antonio De Santis Andrea Tocchetti Marco Brambilla MILM FAtt 54 4 0 06 May 2024
A Survey of Time Series Foundation Models: Generalizing Time Series Representation with Large Language Model Weiqi Zhang Jiexia Ye Ke Yi Yongzi Yu Ziyue Li Jia Li Fugee Tsung AI4TS AI4CE 94 29 0 03 May 2024
When a Relation Tells More Than a Concept: Exploring and Evaluating Classifier Decisions with CoReX Bettina Finzel Patrick Hilme Johannes Rabold Ute Schmid 109 1 0 02 May 2024
Explainable AI (XAI) in Image Segmentation in Medicine, Industry, and Beyond: A Survey Rokas Gipiškis Chun-Wei Tsai Olga Kurasova 95 10 0 02 May 2024
Mapping the Potential of Explainable AI for Fairness Along the AI Lifecycle Luca Deck Astrid Schomacker Timo Speith Jakob Schöffer Lena Kästner Niklas Kühl 76 4 0 29 Apr 2024
Constrained Neural Networks for Interpretable Heuristic Creation to Optimise Computer Algebra Systems Dorian Florescu Matthew England 37 1 0 26 Apr 2024
Rad4XCNN: a new agnostic method for post-hoc global explanation of CNN-derived features by means of radiomics Francesco Prinzi C. Militello Calogero Zarcaro T. Bartolotta Salvatore Gaglio Salvatore Vitabile 43 2 0 26 Apr 2024
On the Road to Clarity: Exploring Explainable AI for World Models in a Driver Assistance System Mohamed Roshdi Julian Petzold Mostafa Wahby Hussein Ebrahim Mladen Berekovic Heiko Hamann 60 0 0 26 Apr 2024
An Explainable Deep Reinforcement Learning Model for Warfarin Maintenance Dosing Using Policy Distillation and Action Forging Sadjad Anzabi Zadeh W. N. Street Barrett W. Thomas 71 1 0 26 Apr 2024
SIDEs: Separating Idealization from Deceptive Explanations in xAI Emily Sullivan 79 2 0 25 Apr 2024
T-Explainer: A Model-Agnostic Explainability Framework Based on Gradients Evandro S. Ortigossa Fábio F. Dias Brian Barr Claudio T. Silva L. G. Nonato FAtt 167 3 0 25 Apr 2024
Explainable AI models for predicting liquefaction-induced lateral spreading Cheng-Hsi Hsiao Krishna Kumar Ellen Rathje 63 8 0 24 Apr 2024
Explaining AI Decisions: Towards Achieving Human-Centered Explainability in Smart Home Environments Md. Shajalal Alexander Boden Gunnar Stevens Delong Du Dean-Robin Kern 67 0 0 23 Apr 2024
Exploring Algorithmic Explainability: Generating Explainable AI Insights for Personalized Clinical Decision Support Focused on Cannabis Intoxication in Young Adults Tongze Zhang Tammy Chung Anind Dey Sang Won Bae 90 3 0 22 Apr 2024
Guided By AI: Navigating Trust, Bias, and Data Exploration in AI-Guided Visual Analytics Sunwoo Ha S. Monadjemi Alvitta Ottley 48 5 0 22 Apr 2024
Audio Anti-Spoofing Detection: A Survey Menglu Li Yasaman Ahmadiadli Xiao-Ping Zhang 102 25 0 22 Apr 2024
Explainable Lung Disease Classification from Chest X-Ray Images Utilizing Deep Learning and XAI Tanzina Taher Ifty Saleh Ahmed Shafin Shoeb Mohammad Shahriar Tashfia Towhid 57 10 0 17 Apr 2024
Use of Parallel Explanatory Models to Enhance Transparency of Neural Network Configurations for Cell Degradation Detection David Mulvey C. Foh M. Imran Rahim Tafazolli 396 0 0 17 Apr 2024
AudioProtoPNet: An interpretable deep learning model for bird sound classification René Heinrich Bernhard Sick Christoph Scholz 98 2 0 16 Apr 2024
Shape Arithmetic Expressions: Advancing Scientific Discovery Beyond Closed-Form Equations Krzysztof Kacprzyk M. Schaar 58 1 0 15 Apr 2024
Application of the representative measure approach to assess the reliability of decision trees in dealing with unseen vehicle collision data Javier Perera-Lago Víctor Toscano-Durán Eduardo Paluzo-Hidalgo Sara Narteni Matteo Rucco 30 0 0 15 Apr 2024
Question Generation in Knowledge-Driven Dialog: Explainability and Evaluation J. Faille Quentin Brabant Gwénolé Lecorvé L. Rojas-Barahona Claire Gardent 55 0 0 11 Apr 2024
Unraveling the Dilemma of AI Errors: Exploring the Effectiveness of Human and Machine Explanations for Large Language Models Marvin Pafla Kate Larson Mark Hancock 66 7 0 11 Apr 2024
Incremental XAI: Memorable Understanding of AI with Incremental Explanations Jessica Y. Bo Pan Hao Brian Y Lim CLL 57 8 0 10 Apr 2024
AgentsCoDriver: Large Language Model Empowered Collaborative Driving with Lifelong Learning Senkang Hu Zhengru Fang Zihan Fang Yiqin Deng Xianhao Chen Yuguang Fang 123 35 0 09 Apr 2024
Interpretability in Symbolic Regression: a benchmark of Explanatory Methods using the Feynman data set Guilherme Seidyo Imai Aldeia Fabrício Olivetti de França 94 10 0 08 Apr 2024
Mining Potentially Explanatory Patterns via Partial Solutions GianCarlo Catalano Alexander E. I. Brownlee David Cairns John Mccall Russell Ainslie 32 0 0 05 Apr 2024
Influence based explainability of brain tumors segmentation in multimodal Magnetic Resonance Imaging Tommaso Torda Andrea Ciardiello Simona Gargiulo Greta Grillo Simone Scardapane Cecilia Voena S. Giagu 101 0 0 05 Apr 2024
Enhancing Breast Cancer Diagnosis in Mammography: Evaluation and Integration of Convolutional Neural Networks and Explainable AI Maryam Ahmed Tooba Bibi Rizwan Ahmed Khan Sidra Nasir 118 2 0 05 Apr 2024
An Interpretable Client Decision Tree Aggregation process for Federated Learning Alberto Argente-Garrido Cristina Zuheros M. V. Luzón Francisco Herrera FedML 77 4 0 03 Apr 2024
Explainability in JupyterLab and Beyond: Interactive XAI Systems for Integrated and Collaborative Workflows G. Guo Dustin L. Arendt Alex Endert 76 1 0 02 Apr 2024
Procedural Fairness in Machine Learning Ziming Wang Changwu Huang Xin Yao FaML 77 2 0 02 Apr 2024