Title
Interpreting Outliers in Time Series Data through Decoding Autoencoder Patrick Knab Sascha Marton Christian Bartelt Robert Fuder 21 1 0 03 Sep 2024
Explainable Artificial Intelligence: A Survey of Needs, Techniques, Applications, and Future Direction Melkamu Mersha Khang Lam Joseph Wood Ali AlShami Jugal Kalita XAI AI4TS 67 28 0 30 Aug 2024
A prototype-based model for set classification Mohammad Mohammadi Sreejita Ghosh VLM 101 1 0 25 Aug 2024
Case-based Explainability for Random Forest: Prototypes, Critics, Counter-factuals and Semi-factuals Gregory Yampolsky Dhruv Desai Mingshu Li Stefano Pasquali Dhagash Mehta 29 4 0 13 Aug 2024
Misfitting With AI: How Blind People Verify and Contest AI Errors Rahaf Alharbi P. Lor Jaylin Herskovitz S. Schoenebeck Robin Brewer 31 10 0 13 Aug 2024
Explainable AI Reloaded: Challenging the XAI Status Quo in the Era of Large Language Models Upol Ehsan Mark O. Riedl 23 2 0 09 Aug 2024
Explainable Emotion Decoding for Human and Computer Vision Alessio Borriero Martina Milazzo M. Diano Davide Orsenigo Maria Chiara Villa Chiara Di Fazio Marco Tamietto Alan Perotti 28 0 0 01 Aug 2024
Need of AI in Modern Education: in the Eyes of Explainable AI (xAI) Supriya Manna Dionis Barcari 39 3 0 31 Jul 2024
On Behalf of the Stakeholders: Trends in NLP Model Interpretability in the Era of LLMs Nitay Calderon Roi Reichart 36 10 0 27 Jul 2024
EARN Fairness: Explaining, Asking, Reviewing, and Negotiating Artificial Intelligence Fairness Metrics Among Stakeholders Lin Luo Yuri Nakao Mathieu Chollet Hiroya Inakoshi Simone Stumpf 35 0 0 16 Jul 2024
Enabling MCTS Explainability for Sequential Planning Through Computation Tree Logic Ziyan An Hendrik Baier Abhishek Dubey Ayan Mukhopadhyay Meiyi Ma LRM 24 3 0 15 Jul 2024
Explaining Graph Neural Networks for Node Similarity on Graphs Daniel Daza C. Chu T. Tran Daria Stepanova Michael Cochez Paul T. Groth 28 1 0 10 Jul 2024
Restyling Unsupervised Concept Based Interpretable Networks with Generative Models Jayneel Parekh Quentin Bouniot Pavlo Mozharovskyi A. Newson Florence dÁlché-Buc SSL 55 1 0 01 Jul 2024
ShapG: new feature importance method based on the Shapley value Chi Zhao Jing Liu Elena Parilina FAtt 125 3 0 29 Jun 2024
MOUNTAINEER: Topology-Driven Visual Analytics for Comparing Local Explanations Parikshit Solunke Vitória Guardieiro Joao Rulff Peter Xenopoulos G. Chan Brian Barr L. G. Nonato Claudio Silva 27 1 0 21 Jun 2024
Unifying Interpretability and Explainability for Alzheimer's Disease Progression Prediction Raja Farrukh Ali Stephanie Milani John Woods Emmanuel Adenij Ayesha Farooq Clayton Mansel Jeffrey Burns William Hsu 28 0 0 11 Jun 2024
MambaLRP: Explaining Selective State Space Sequence Models F. Jafari G. Montavon Klaus-Robert Müller Oliver Eberle Mamba 54 9 0 11 Jun 2024
Enhancing Counterfactual Image Generation Using Mahalanobis Distance with Distribution Preferences in Feature Space Yukai Zhang Ao Xu Zihao Li Tieru Wu 35 1 0 31 May 2024
Explainable machine learning multi-label classification of Spanish legal judgements Francisco de Arriba-Pérez Silvia García-Méndez Francisco J. González Castaño Jaime González-González AILaw 16 13 0 27 May 2024
From Frege to chatGPT: Compositionality in language, cognition, and deep neural networks Jacob Russin Sam Whitman McGrath Danielle J. Williams Lotem Elber-Dorozko AI4CE 69 3 0 24 May 2024
A Transformer variant for multi-step forecasting of water level and hydrometeorological sensitivity analysis based on explainable artificial intelligence technology Mingyu Liu Nana Bao Xingting Yan Chenyang Li Kai Peng 14 0 0 22 May 2024
Explainable offline automatic signature verifier to support forensic handwriting examiners Moisés Díaz M. A. Ferrer-Ballester G. Vessio 34 3 0 21 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 40 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 19 3 0 19 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 24 0 0 13 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 27 1 0 06 May 2024
Explainable AI (XAI) in Image Segmentation in Medicine, Industry, and Beyond: A Survey Rokas Gipiškis Chun-Wei Tsai Olga Kurasova 52 5 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 41 4 0 29 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 54 2 0 25 Apr 2024
Audio Anti-Spoofing Detection: A Survey Menglu Li Yasaman Ahmadiadli Xiao-Ping Zhang 34 17 0 22 Apr 2024
Mining Potentially Explanatory Patterns via Partial Solutions GianCarlo Catalano Alexander E. I. Brownlee David Cairns John Mccall Russell Ainslie 16 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 21 0 0 05 Apr 2024
Segmentation, Classification and Interpretation of Breast Cancer Medical Images using Human-in-the-Loop Machine Learning David Vázquez-Lema E. Mosqueira-Rey Elena Hernández-Pereira Carlos Fernández-Lozano Fernando Seara-Romera Jorge Pombo-Otero LM&MA 26 1 0 29 Mar 2024
Safety Implications of Explainable Artificial Intelligence in End-to-End Autonomous Driving Shahin Atakishiyev Mohammad Salameh Randy Goebel 66 6 0 18 Mar 2024
Design of an Open-Source Architecture for Neural Machine Translation Séamus Lankford Haithem Afli Andy Way 31 0 0 06 Mar 2024
Explaining Probabilistic Models with Distributional Values Luca Franceschi Michele Donini Cédric Archambeau Matthias Seeger FAtt 21 2 0 15 Feb 2024
What's documented in AI? Systematic Analysis of 32K AI Model Cards Weixin Liang Nazneen Rajani Xinyu Yang Ezinwanne Ozoani Eric Wu Yiqun Chen D. Smith James Y. Zou 39 15 0 07 Feb 2024
Social Interpretable Reinforcement Learning Leonardo Lucio Custode Giovanni Iacca OffRL 35 2 0 27 Jan 2024
A Systematic Literature Review on Explainability for Machine/Deep Learning-based Software Engineering Research Sicong Cao Xiaobing Sun Ratnadira Widyasari David Lo Xiaoxue Wu ... Jiale Zhang Bin Li Wei Liu Di Wu Yixin Chen 26 6 0 26 Jan 2024
Detecting Multimedia Generated by Large AI Models: A Survey Li Lin Neeraj Gupta Yue Zhang Hainan Ren Chun-Hao Liu Feng Ding Xin Eric Wang X. Li Luisa Verdoliva Shu Hu 80 56 0 22 Jan 2024
A comprehensive study on fidelity metrics for XAI Miquel Miró-Nicolau Antoni Jaume-i-Capó Gabriel Moyà Alcover 28 11 0 19 Jan 2024
Unpacking Human-AI interactions: From interaction primitives to a design space Konstantinos Tsiakas Dave Murray-Rust 19 3 0 10 Jan 2024
Tensor Networks for Explainable Machine Learning in Cybersecurity Borja Aizpurua Samuel Palmer Roman Orus 34 7 0 29 Dec 2023
Explainable Multi-Camera 3D Object Detection with Transformer-Based Saliency Maps Till Beemelmanns Wassim Zahr Lutz Eckstein 27 0 0 22 Dec 2023
Pyreal: A Framework for Interpretable ML Explanations Alexandra Zytek Wei-En Wang Dongyu Liu Laure Berti-Equille K. Veeramachaneni LRM 35 0 0 20 Dec 2023
I-CEE: Tailoring Explanations of Image Classification Models to User Expertise Yao Rong Peizhu Qian Vaibhav Unhelkar Enkelejda Kasneci 32 0 0 19 Dec 2023
On Diagnostics for Understanding Agent Training Behaviour in Cooperative MARL Wiem Khlifi Siddarth S. Singh Omayma Mahjoub Ruan de Kock Abidine Vall R. Gorsane Arnu Pretorius 25 1 0 13 Dec 2023
Artificial Intelligence for Digital and Computational Pathology Andrew H. Song Guillaume Jaume Drew F. K. Williamson Ming Y. Lu Anurag J. Vaidya Tiffany R. Miller Faisal Mahmood AI4CE 30 129 0 13 Dec 2023
"I Want It That Way": Enabling Interactive Decision Support Using Large Language Models and Constraint Programming Connor Lawless Jakob Schoeffer Lindy Le Kael Rowan Shilad Sen Cristina St. Hill Jina Suh Bahar Sarrafzadeh 33 8 0 12 Dec 2023
Deeper Understanding of Black-box Predictions via Generalized Influence Functions Hyeonsu Lyu Jonggyu Jang Sehyun Ryu H. Yang TDI AI4CE 18 5 0 09 Dec 2023