Title
On the Probability of Necessity and Sufficiency of Explaining Graph Neural Networks: A Lower Bound Optimization Approach Ruichu Cai Yuxuan Zhu Xuexin Chen Yuan Fang Min-man Wu Jie Qiao Zijian Li 123 8 0 31 Dec 2024
Enhancing Cancer Diagnosis with Explainable & Trustworthy Deep Learning Models Badaru I. Olumuyiwa The Anh Han Zia U. Shamszaman 35 1 0 23 Dec 2024
Designing Visual Explanations and Learner Controls to Engage Adolescents in AI-Supported Exercise Selection Jeroen Ooge Arno Vanneste Maxwell Szymanski K. Verbert 127 0 0 20 Dec 2024
A Review of Multimodal Explainable Artificial Intelligence: Past, Present and Future Shilin Sun Wenbin An Feng Tian Fang Nan Qidong Liu Jing Liu N. Shah Ping Chen 157 6 0 18 Dec 2024
From approximation error to optimality gap - Explaining the performance impact of opportunity cost approximation in integrated demand management and vehicle routing David Fleckenstein Robert Klein Vienna Klein Claudius Steinhardt 88 0 0 18 Dec 2024
Lightweight Safety Classification Using Pruned Language Models Mason Sawtell Tula Masterman Sandi Besen Jim Brown 142 3 0 18 Dec 2024
Stabilizing Machine Learning for Reproducible and Explainable Results: A Novel Validation Approach to Subject-Specific Insights Gideon Vos L. V. Eijk Zoltán Sarnyai M. R. Azghadi 92 0 0 16 Dec 2024
Development of an End-to-end Machine Learning System with Application to In-app Purchases Dionysios Varelas Elena Bonan Lewis Anderson Anders Englesson Christoffer Åhrling Adrian Chmielewski-Anders OffRL 180 0 0 16 Dec 2024
Biological and Radiological Dictionary of Radiomics Features: Addressing Understandable AI Issues in Personalized Prostate Cancer; Dictionary Version PM1.0 Mohammad R. Salmanpour Sajad Amiri Sara Gharibi Ahmad Shariftabrizi Yixi Xu William B. Weeks Arman Rahmim Ilker Hacihaliloglu MedIm 83 2 0 14 Dec 2024
Are Explanations Helpful? A Comparative Analysis of Explainability Methods in Skin Lesion Classifiers Rosa Y. G. Paccotacya-Yanque Alceu Bissoto Sandra Avila FAtt 118 1 0 04 Dec 2024
Explainable and Interpretable Multimodal Large Language Models: A Comprehensive Survey Yunkai Dang Kaichen Huang Jiahao Huo Yibo Yan Shijie Huang ... Kun Wang Yong Liu Jing Shao Hui Xiong Xuming Hu LRM 170 22 0 03 Dec 2024
Integrative CAM: Adaptive Layer Fusion for Comprehensive Interpretation of CNNs Aniket K. Singh Debasis Chaudhuri Manish P. Singh Samiran Chattopadhyay 109 0 0 02 Dec 2024
Knowledge-Augmented Explainable and Interpretable Learning for Anomaly Detection and Diagnosis Martin Atzmueller Tim Bohne Patricia Windler 154 0 0 28 Nov 2024
Don't Let Your Robot be Harmful: Responsible Robotic Manipulation via Safety-as-Policy Minheng Ni Lei Zhang Zhaoyu Chen Lefei Zhang Wangmeng Zuo Jianwei Zhang Lei Zhang W. Zuo 124 1 0 27 Nov 2024
Functional relevance based on the continuous Shapley value Pedro Delicado Cristian Pachón-García TDI 117 0 0 27 Nov 2024
Learning Predictive Checklists with Probabilistic Logic Programming Yukti Makhija E. Brouwer Rahul G. Krishnan 142 0 0 25 Nov 2024
Explainable Artificial Intelligence for Medical Applications: A Review Qiyang Sun Alican Akman Björn Schuller 148 10 0 15 Nov 2024
Establishing and Evaluating Trustworthy AI: Overview and Research Challenges Dominik Kowald S. Scher Viktoria Pammer-Schindler Peter Müllner Kerstin Waxnegger ... Andreas Truegler Eduardo E. Veas Roman Kern Tomislav Nad Simone Kopeinik 70 4 0 15 Nov 2024
Artificial Intelligence in Pediatric Echocardiography: Exploring Challenges, Opportunities, and Clinical Applications with Explainable AI and Federated Learning M. Y. Jabarulla T. Uden Thomas Jack P. Beerbaum S. Oeltze-jafra 86 2 0 15 Nov 2024
Inherently Interpretable and Uncertainty-Aware Models for Online Learning in Cyber-Security Problems Benjamin Kolicic Alberto Caron Chris Hicks V. Mavroudis AI4CE 89 0 0 14 Nov 2024
Interplay between Federated Learning and Explainable Artificial Intelligence: a Scoping Review Luis M. Lopez-Ramos Florian Leiser Aditya Rastogi Steven Hicks Inga Strümke V. Madai Tobias Budig Ali Sunyaev A. Hilbert 246 3 0 07 Nov 2024
Data Quality Awareness: A Journey from Traditional Data Management to Data Science Systems Sijie Dong Soror Sahri Themis Palpanas 75 0 0 05 Nov 2024
A Comparative Analysis of Counterfactual Explanation Methods for Text Classifiers Stephen McAleese Mark Keane 71 0 0 04 Nov 2024
Benchmarking XAI Explanations with Human-Aligned Evaluations Rémi Kazmierczak Steve Azzolin Eloise Berthier Anna Hedström Patricia Delhomme ... Goran Frehse Massimiliano Mancini Baptiste Caramiaux Andrea Passerini Gianni Franchi 92 3 0 04 Nov 2024
Explainable cognitive decline detection in free dialogues with a Machine Learning approach based on pre-trained Large Language Models Francisco de Arriba-Pérez Silvia García-Méndez Javier Otero-Mosquera Francisco J. González Castaño 63 5 0 04 Nov 2024
SPES: Spectrogram Perturbation for Explainable Speech-to-Text Generation Dennis Fucci Marco Gaido Beatrice Savoldi Matteo Negri Mauro Cettolo L. Bentivogli 272 3 0 03 Nov 2024
The Interaction Layer: An Exploration for Co-Designing User-LLM Interactions in Parental Wellbeing Support Systems Sruthi Viswanathan Seray Ibrahim Ravi Shankar Reuben Binns Max Van Kleek Petr Slovák 128 1 0 02 Nov 2024
Rethinking Node Representation Interpretation through Relation Coherence Ying-Chun Lin Jennifer Neville Cassiano Becker Purvanshi Metha Nabiha Asghar Vipul Agarwal 56 0 0 01 Nov 2024
FGCE: Feasible Group Counterfactual Explanations for Auditing Fairness Christos Fragkathoulas Vasiliki Papanikou E. Pitoura Evimaria Terzi 67 0 0 29 Oct 2024
Gnothi Seauton: Empowering Faithful Self-Interpretability in Black-Box Transformers Shaobo Wang Hongxuan Tang Mingyang Wang Hao Zhang Xuyang Liu Weiya Li Xuming Hu Linfeng Zhang 46 1 0 29 Oct 2024
Towards Human-centered Design of Explainable Artificial Intelligence (XAI): A Survey of Empirical Studies Shuai Ma 89 1 0 28 Oct 2024
AI-Driven Human-Autonomy Teaming in Tactical Operations: Proposed Framework, Challenges, and Future Directions D. Hagos Hassan El Alami D. Rawat 34 1 0 28 Oct 2024
On the Black-box Explainability of Object Detection Models for Safe and Trustworthy Industrial Applications Alain Andres Aitor Martinez-Seras I. Laña Javier Del Ser AAML 61 2 0 28 Oct 2024
Explainability in AI Based Applications: A Framework for Comparing Different Techniques Arne Grobrugge Nidhi Mishra Johannes Jakubik G. Satzger 141 2 0 28 Oct 2024
Info-CELS: Informative Saliency Map Guided Counterfactual Explanation Peiyu Li O. Bahri Pouya Hosseinzadeh S. F. Boubrahimi S. M. Hamdi CML LRM 116 1 0 27 Oct 2024
Evaluating Explanations Through LLMs: Beyond Traditional User Studies Francesco Bombassei De Bona Gabriele Dominici Tim Miller Marc Langheinrich M. Gjoreski 55 6 0 23 Oct 2024
Trustworthy XAI and Application Md Abdullah Al Nasim Parag Biswas Abdur Rashid A. Biswas Kishor Datta Gupta Angona Biswas Kishor Datta Gupta 126 4 0 22 Oct 2024
PromptHive: Bringing Subject Matter Experts Back to the Forefront with Collaborative Prompt Engineering for Educational Content Creation Mohi Reza Ioannis Anastasopoulos Shreya Bhandari Z. Pardos 48 0 0 21 Oct 2024
Deep Radiomics Detection of Clinically Significant Prostate Cancer on Multicenter MRI: Initial Comparison to PI-RADS Assessment G. A. Nketiah M. R. Sunoqrot E. Sandsmark S. Langørgen K. M. Selnæs H. Bertilsson M. Elschot T. F. Bathen 38 0 0 21 Oct 2024
Linking Model Intervention to Causal Interpretation in Model Explanation Debo Cheng Ziqi Xu Jiuyong Li Lin Liu Kui Yu T. Le Jixue Liu CML 101 0 0 21 Oct 2024
Building Trust in Black-box Optimization: A Comprehensive Framework for Explainability Nazanin Nezami Hadis Anahideh 57 0 0 18 Oct 2024
Assistive AI for Augmenting Human Decision-making Natabara Máté Gyöngyössy Bernát Török Csilla Farkas Laura Lucaj Attila Menyhárd Krisztina Menyhárd-Balázs András Simonyi Patrick van der Smagt Zsolt Ződi András Lőrincz 70 0 0 18 Oct 2024
Explainable AI Methods for Multi-Omics Analysis: A Survey Ahmad Hussein Mukesh Prasad Ali Braytee SyDa 30 1 0 15 Oct 2024
An Explainable AI Model for Predicting the Recurrence of Differentiated Thyroid Cancer Mohammad Al-Sayed Ahmad Jude Haddad 51 2 0 13 Oct 2024
A mechanistically interpretable neural network for regulatory genomics Alex Tseng Gökçen Eraslan Tommaso Biancalani Gabriele Scalia 39 1 0 08 Oct 2024
Demonstration Based Explainable AI for Learning from Demonstration Methods Morris Gu Elizabeth Croft Dana Kulic 36 0 0 08 Oct 2024
Beyond Correlation: Interpretable Evaluation of Machine Translation Metrics Stefano Perrella Lorenzo Proietti Pere-Lluís Huguet Cabot Edoardo Barba Roberto Navigli 92 4 0 07 Oct 2024
A Tutorial on the Design, Experimentation and Application of Metaheuristic Algorithms to Real-World Optimization Problems E. Osaba Esther Villar-Rodriguez Javier Del Ser Antonio J. Nebro Daniel Molina A. Latorre Ponnuthurai Nagaratnam Suganthan Carlos A. Coello Coello Francisco Herrera 101 271 0 04 Oct 2024
ProcBench: Benchmark for Multi-Step Reasoning and Following Procedure Ippei Fujisawa Sensho Nobe Hiroki Seto Rina Onda Yoshiaki Uchida Hiroki Ikoma Pei-Chun Chien Ryota Kanai LRM 69 4 0 04 Oct 2024
Ethio-Fake: Cutting-Edge Approaches to Combat Fake News in Under-Resourced Languages Using Explainable AI Mesay Gemeda Yigezu Melkamu Mersha Girma Yohannis Bade Jugal Kalita Olga Kolesnikova Alexander Gelbukh 91 3 0 03 Oct 2024