Title
Testing System Intelligence J. Sifakis 29 3 0 19 May 2023
Personalizing Content Moderation on Social Media: User Perspectives on Moderation Choices, Interface Design, and Labor Shagun Jhaver Alice Qian Zhang Quan Ze Chen N. Natarajan Ruotong Wang Amy X. Zhang 71 70 0 17 May 2023
FICNN: A Framework for the Interpretation of Deep Convolutional Neural Networks Hamed Behzadi-Khormouji José Oramas 45 0 0 17 May 2023
XAI for Self-supervised Clustering of Wireless Spectrum Activity Ljupcho Milosheski Gregor Cerar Blaž Bertalanič Carolina Fortuna M. Mohorčič SSL 93 3 0 17 May 2023
The Ethics of AI in Games Dávid Melhárt Julian Togelius Benedikte Mikkelsen Christoffer Holmgård Georgios N. Yannakakis 48 25 0 12 May 2023
Why Don't You Do Something About It? Outlining Connections between AI Explanations and User Actions Gennie Mansi Mark O. Riedl 65 6 0 10 May 2023
Explainable Knowledge Distillation for On-device Chest X-Ray Classification C. Termritthikun Ayaz Umer Suwichaya Suwanwimolkul Xiwei Xu Ivan Lee 80 14 0 10 May 2023
When a CBR in Hand is Better than Twins in the Bush Mobyen Uddin Ahmed Shaibal Barua Shahina Begum Mir Riyanul Islam Rosina O. Weber 63 1 0 09 May 2023
Opening the TAR Black Box: Developing an Interpretable System for eDiscovery Using the Fuzzy ARTMAP Neural Network C. Courchaine Ricky J. Sethi 31 0 0 07 May 2023
Explaining the ghosts: Feminist intersectional XAI and cartography as methods to account for invisible labour Goda Klumbytė Hannah Piehl Claude Draude 29 2 0 05 May 2023
Metric Tools for Sensitivity Analysis with Applications to Neural Networks Jaime Pizarroso David Alfaya José M. Portela A. Roque 46 4 0 03 May 2023
Calibrated Explanations: with Uncertainty Information and Counterfactuals Helena Lofstrom Tuwe Lofstrom Gregory Rice Cecilia Sonstrod 116 10 0 03 May 2023
Asymmetric quantum decision-making Honoka Shiratori Hiroaki Shinkawa André Röhm N. Chauvet E. Segawa Jonathan Laurent G. Bachelier T. Yamagami R. Horisaki Makoto Naruse 46 1 0 03 May 2023
fairml: A Statistician's Take on Fair Machine Learning Modelling M. Scutari FaML 86 5 0 03 May 2023
Connecting the Dots in Trustworthy Artificial Intelligence: From AI Principles, Ethics, and Key Requirements to Responsible AI Systems and Regulation Natalia Díaz Rodríguez Javier Del Ser Mark Coeckelbergh Marcos López de Prado E. Herrera-Viedma Francisco Herrera XAI 104 303 0 02 May 2023
Revealing Similar Semantics Inside CNNs: An Interpretable Concept-based Comparison of Feature Spaces Georgii Mikriukov Gesina Schwalbe Christian Hellert Korinna Bade 60 2 0 30 Apr 2023
Understanding accountability in algorithmic supply chains Jennifer Cobbe Michael Veale Jatinder Singh 104 72 0 28 Apr 2023
PhagoStat a scalable and interpretable end to end framework for efficient quantification of cell phagocytosis in neurodegenerative disease studies Mehdi Ounissi Morwena Latouche Daniel Racoceanu 66 2 0 26 Apr 2023
A Closer Look at Reward Decomposition for High-Level Robotic Explanations Wenhao Lu Xufeng Zhao S. Magg M. Gromniak Mengdi Li S. Wermter 96 7 0 25 Apr 2023
Disagreement amongst counterfactual explanations: How transparency can be deceptive Dieter Brughmans Lissa Melis David Martens 56 3 0 25 Apr 2023
TIGTEC : Token Importance Guided TExt Counterfactuals Milan Bhan Jean-Noel Vittaut Nicolas Chesneau Marie-Jeanne Lesot 94 9 0 24 Apr 2023
Towards a Praxis for Intercultural Ethics in Explainable AI Chinasa T. Okolo 62 3 0 24 Apr 2023
SketchXAI: A First Look at Explainability for Human Sketches Zhiyu Qu Yulia Gryaditskaya Ke Li Kaiyue Pang Tao Xiang Yi-Zhe Song 89 8 0 23 Apr 2023
Explainability in AI Policies: A Critical Review of Communications, Reports, Regulations, and Standards in the EU, US, and UK L. Nannini Agathe Balayn A. Smith 60 41 0 20 Apr 2023
Learning Bottleneck Concepts in Image Classification Bowen Wang Liangzhi Li Yuta Nakashima Hajime Nagahara SSL 108 46 0 20 Apr 2023
LLM-based Interaction for Content Generation: A Case Study on the Perception of Employees in an IT department Alexandre Agossah Frédérique Krupa Matthieu Perreira da Silva P. Le Callet 35 15 0 18 Apr 2023
Impact Of Explainable AI On Cognitive Load: Insights From An Empirical Study L. Herm 73 22 0 18 Apr 2023
TreeC: a method to generate interpretable energy management systems using a metaheuristic algorithm Julian Ruddick L. R. Camargo M. A. Putratama M. Messagie Thierry Coosemans 37 2 0 17 Apr 2023
Implementing Responsible AI: Tensions and Trade-Offs Between Ethics Aspects Conrad Sanderson David M. Douglas Qinghua Lu 98 13 0 17 Apr 2023
Explanations of Black-Box Models based on Directional Feature Interactions A. Masoomi Davin Hill Zhonghui Xu C. Hersh E. Silverman P. Castaldi Stratis Ioannidis Jennifer Dy FAtt 90 20 0 16 Apr 2023
What if we have Meta GPT? From Content Singularity to Human-Metaverse Interaction in AIGC Era Lik-Hang Lee Pengyuan Zhou Chaoning Zhang S. Hosio 73 3 0 15 Apr 2023
Investigation of ensemble methods for the detection of deepfake face manipulations Nikolaos Giatsoglou Symeon Papadopoulos Y. Kompatsiaris CVBM 80 2 0 14 Apr 2023
Evaluating the Robustness of Interpretability Methods through Explanation Invariance and Equivariance Jonathan Crabbé M. Schaar AAML 54 7 0 13 Apr 2023
Quantifying and Explaining Machine Learning Uncertainty in Predictive Process Monitoring: An Operations Research Perspective Nijat Mehdiyev Maxim Majlatow Peter Fettke 89 14 0 13 Apr 2023
Enhancing Model Learning and Interpretation Using Multiple Molecular Graph Representations for Compound Property and Activity Prediction Apakorn Kengkanna Masahito Ohue AI4CE 60 4 0 13 Apr 2023
Textual Explanations for Automated Commentary Driving Marc Alexander Kühn Daniel Omeiza Lars Kunze 57 8 0 12 Apr 2023
Communicating Uncertainty in Machine Learning Explanations: A Visualization Analytics Approach for Predictive Process Monitoring Nijat Mehdiyev Maxim Majlatow Peter Fettke 52 2 0 12 Apr 2023
Preemptively Pruning Clever-Hans Strategies in Deep Neural Networks Lorenz Linhardt Klaus-Robert Muller G. Montavon AAML 109 8 0 12 Apr 2023
CGXplain: Rule-Based Deep Neural Network Explanations Using Dual Linear Programs Konstantin Hemker Z. Shams M. Jamnik 97 2 0 11 Apr 2023
Efficient Automation of Neural Network Design: A Survey on Differentiable Neural Architecture Search Alexandre Heuillet A. Nasser Hichem Arioui Hedi Tabia AI4CE 118 15 0 11 Apr 2023
Optimal Interpretability-Performance Trade-off of Classification Trees with Black-Box Reinforcement Learning Hector Kohler R. Akrour Philippe Preux OffRL 53 0 0 11 Apr 2023
A Review on Explainable Artificial Intelligence for Healthcare: Why, How, and When? M. Rubaiyat Hossain Mondal Prajoy Podder 91 65 0 10 Apr 2023
Tracing and Visualizing Human-ML/AI Collaborative Processes through Artifacts of Data Work Jennifer Rogers Anamaria Crisan 84 7 0 05 Apr 2023
Blaming Humans and Machines: What Shapes People's Reactions to Algorithmic Harm Gabriel Lima Nina Grgić-Hlavca M. Cha 57 26 0 05 Apr 2023
A Brief Review of Explainable Artificial Intelligence in Healthcare Zahra Sadeghi R. Alizadehsani M. Cifci Samina Kausar Rizwan Rehman ... A. Shoeibi H. Moosaei Milan Hladík Saeid Nahavandi P. Pardalos 31 14 0 04 Apr 2023
Counterfactual Learning on Graphs: A Survey Zhimeng Guo Teng Xiao Zongyu Wu Charu C. Aggarwal Hui Liu Suhang Wang CML AI4CE 129 19 0 03 Apr 2023
Why is plausibility surprisingly problematic as an XAI criterion? Weina Jin Xiaoxiao Li Ghassan Hamarneh 112 6 0 30 Mar 2023
XAIR: A Framework of Explainable AI in Augmented Reality Xuhai Xu Anna Yu Tanya R. Jonker Kashyap Todi Feiyu Lu ... Narine Kokhlikyan Fulton Wang P. Sorenson Sophie Kahyun Kim Hrvoje Benko 89 55 0 28 Mar 2023
From Private to Public: Benchmarking GANs in the Context of Private Time Series Classification Dominique Mercier Andreas Dengel Sheraz Ahmed AI4TS 43 1 0 28 Mar 2023
mHealth hyperspectral learning for instantaneous spatiospectral imaging of hemodynamics Yuhyun Ji Sang Mok Park Semin Kwon J. W. Leem V. V. Nair Y. Tong Young L. Kim 60 16 0 27 Mar 2023