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7 papers in the last four weeks, up 133% on the four weeks before. 0.1% of all new papers.

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  1. CAMEO: A Class-Activation-Mapped Equitable Overlay Framework for Fair and Robust Deep Learning-based Skin Condition Diagnosis

    Sep 28, 2026Youssef Attia, Debasmita MukherjeeSkin Lesion ClassificationMelanoma

    Department of Electrical and Computer Engineering, University of New Brunswick, Fredericton, NB, Canada

  2. Mask-Induced Displacement in Audio XAI via Logit Trajectory Decomposition

    Sep 27, 2026Nico García-Peguinho, David Kelly, Fabrizio Smeraldi +1SpeakerXai

    School of Electronic Engineering and Computer Science, Queen Mary University of London · Department of Informatics, King's College London · Department of Informatics, King’s College London

  3. TRIPROBE: Probing Task Separability Beyond Classification for XAI

    Sep 16, 2026Amirhossein Sadough, Freek Hens, Aleksa Bokšan +2XaiSeparability

    Machine Learning and Neural Computing Radboud University Nijmegen, Netherlands · Delft University of Technology Delft, Netherlands · Unconventional Computing Lab University of the West of England (UWE) Bristol, United Kingdom

  4. Explainability Assistant: A Conversational XAI Interface for Interpreting Energy Consumption Models

    Sep 12, 2026Rodion Krjutškov, Eduard Barbu, Nikos Sakkas +1Explainable Artificial IntelligenceXai

    Nupp Software Tallinn, Estonia · Institute of Computer Science University of Tartu Tartu, Estonia · Apintech Ltd POLIS-21 Group Cyprus +1

  5. X-RACE: XAI-assisted Recurrent neural network Attribution for Channel Estimation

    Sep 12, 2026Abdul Karim Gizzini, Yahia MedjahdiChannel EstimationCnn-Lstm

    University of Paris-Est Cr´eteil (UPEC), LISSI/TincNET, F-94400, Vitry-sur-Seine, France. · IMT Nord Europe, Institut Mines T´el´ecom, Centre for Digital Systems, F-59653 Villeneuve d’Ascq, France.

  6. XAI-Arena: Can LLMs Assess the Quality of XAI Explanations?

    Sep 10, 2026Yanfei Hu Fleischhauer, Alona Zharova, Nadja Klein +1XaiExplainable Artificial Intelligence

    LMU Munich, Germany · Chair of Information Systems, School of Business and Economics, Humboldt-Universität zu Berlin, Germany · Scientific Computing Center, Karlsruhe Institute of Technology, Germany +1

  7. Unraveling the Real Working Mechanism and Inherent Flaws of GAE: A Method for Interpreting Transformer Processes from an Economic Perspective

    Sep 7, 2026Yongjin Cui, Xiaohui FanExplainable Artificial IntelligenceXai

    Zhejiang University

  8. Entropy-Centric Explainable AI for Remote Sensing Image Segmentation

    Aug 11, 2026Ali Saleh, Abdul Karim Gizzini, Mohamad Ghassany +1Remote Sensing Image SegmentationExplainable Artificial Intelligence

    Faculty of Engineering, Lebanese University, Beirut, Lebanon · EFREI, EFREI Research Lab, F-94800 Villejuif, France. · University of Paris-Est Cr´eteil (UPEC), LISSI/TincNET, F-94400, Vitry-sur-Seine, France. +1

  9. Rule of Thumb: Explaining Artificial Intelligence Systems using Partial Information

    Aug 11, 2026Kaivalya Rawal, Daria Onitiu, Brent Mittelstadt +2Explainable Artificial IntelligenceXai

    University of Oxford · Hasso Plattner Institute · Weizenbaum Institute

  10. BREAD: Baseline-Referenced Explanations for Anomaly Diagnosis

    Aug 11, 2026Jiaqi Qiu, Rob Goedhart, Jannis Kurtz +1Graph Anomaly DetectionXai

    Department of Business Analytics, Amsterdam Business School, University of Amsterdam, Amsterdam, The Netherlands

  11. Human-Centered Explainable AI for TinyML Edge Devices: A Pareto-Based Selection Framework with LLM-Guided Design

    Aug 7, 2026Zeinab Dehghani, Dhavalkumar Thakker, Koorosh Aslansefat +4XaiExplainable Artificial Intelligence

    School of Digital and Physical Sciences, University of Hull, Cottingham Road, Hull, HU6 7RX, United Kingdom

  12. From Dyad to Triad: Eliciting XAI Requirements in Stroke Rehabilitation

    Jul 28, 2026Param Rajpura, Yogesh Kumar MeenaRehabilitationXai

    Human-AI Interaction (HAIx) Lab, IIT Gandhinagar, India

  13. Evaluating the Impact of Explainable AI on Trust in AI-Assisted Code Review

    Jul 27, 2026Zhenhan Gao, Marvin Muñoz Barón, Umm-e Habiba +2Code QualityExplainable Artificial Intelligence

    Technical University of Munich, Heilbronn, Germany · University of Hohenheim, Hohenheim, Germany

  14. Beyond Local Inspection: Global, Guideline-Grounded Evaluation of Post-hoc XAI Methods for ECG Classification

    Jul 27, 2026Nils Gumpfer, Michael Guckert, Samuel Sossalla +2Electrocardiogram ClassificationXai

    Hessian Center for Artificial Intelligence (hessian.AI), Darmstadt, Germany · Technische Hochschule Mittelhessen, University of Applied Sciences, Friedberg (Hesse), Germany · Department of Internal Medicine I, Cardiology, Justus-Liebig-University Giessen, Giessen, Germany

  15. Local Label-Informed Feature Transfer for Generating Ground-Truth Medical Images: A Comparison of GAN- and Diffusion-Based Approaches

    Jul 21, 2026Rick Wilming, Irem Ozseker, Luca Matteo Cornils +4Medical Image GenerationConditional Gans

    Physikalisch-Technische Bundesanstalt Berlin, Germany · Technische Universität Berlin, Germany

  16. On the Disagreement in Perturbation-based xAI -- Benchmarking Perturbation Choices for Flood Detection from SAR Images

    Jul 16, 2026Anastasia Schlegel, Ronny HänschXaiFlood Detection

    Microwaves and Radar Institute, German Aerospace Center (DLR), Weßling, 82234, Germany · Chair of Remote Sensing Technology, Department of Aerospace and Geodesy, Technical University of Munich, Munich, 80333, Germany

  17. Towards a Unified Multidimensional Explainability Metric: Evaluating Trustworthiness in AI Models

    Jul 15, 2026Georgios Makridis, Georgios Fatouros, Athanasios Kiourtis +4XaiExplainability

    Department of Digital Systems University of Piraeus Piraeus, Greece · Department of Business Administration University of Piraeus Piraeus, Greece · Innov-Acts Ltd Innov-Acts Nicosia, Cyprus

  18. Explaining Reinforcement Learning Agents via Inductive Logic Programming

    Jul 15, 2026Celeste Veronese, Edoardo Zorzi, Daniele Meli +1Offline Reinforcement LearningXai

    University of Verona, Italy · Sapienza University of Rome, Italy

  19. Auditing Construct Overlap in Explainable Machine Learning: Evidence from Burnout-Depression Prediction Across Student Cohorts

    Jul 12, 2026Alireza Dehghan, Negin AshrafiXaiMental Health

    Sharif University of Technology, Tehran, Iran · University of Southern California, California, USA

  20. Knowledge Graphs and Explainable AI as Complementary Resources for Urban Mining

    Jul 10, 2026Jan Gronewald, Andreas Emrich, Nijat MehdiyevXaiExplainable Artificial Intelligence

    German Research Center for Artificial Intelligence (DFKI), Saarbrücken, Germany

  21. Why Fake ? Unveiling the Semantic Vocabulary of Deepfake Detectors

    Jul 8, 2026Vazgken Vanian, Alexandros Doumanoglou, Dimitris ZarpalasDeepfake DetectionXai

    Information Technologies Institute (ITI) Centre For Research and Technology HELLAS (CERTH)

  22. Large Language Models (LLMs) and Generative AI in Cybersecurity and Privacy: A Survey of Dual-Use Risks, AI-Generated Malware, Explainability, and Defensive Strategies

    Jul 8, 2026Kiarash Ahi, Saeed ValizadehCybersecurityGenerative Artificial Intelligence

    Virelya Intelligence Research Labs, San Francisco Bay Area, California · Google, Mountain View, California

  23. ExplAIner: A Declarative Query Language for Explaining Classification Models

    Jul 7, 2026Marcelo Arenas, Pablo Barceló, Diego Bustamante +3XaiInterpretability

    Pontificia Universidad Católica de Chile, Chile · Carnegie Mellon University, USA

  24. PulmoSight-XAI: An Explainable Multi-View Attention Ensemble with Gradient Boosting Meta-Learning for Multi-Label Chest X-Ray Classification

    Jul 5, 2026Moshiur Rahman, Shafqat Alam, Tasnia Binte MamunChest X-RayMedical Image Classification

    Department of Biomedical Engineering Bangladesh University of Engineering and Technology (BUET), Dhaka, Bangladesh

  25. FedXDS: Leveraging Model Attribution Methods to counteract Data Heterogeneity in Federated Learning

    Jun 30, 2026Maximilian Andreas Hoefler, Karsten Mueller, Wojciech SamekFederated LearningHeterogeneity

    Fraunhofer Heinrich Hertz Institute, Berlin, Germany · Technical University of Berlin, Berlin, Germany · Berlin Institute for the Foundations of Learning and Data (BIFOLD)

  26. Scientific Explanations in Health Sciences: Causality, Trust, and Epistemic Adequacy

    Jun 30, 2026Martina Mattioli, Marcello PelilloExplainable Artificial IntelligenceXai

  27. Global Explanations for Multivariate Time Series Forecasting Models via KK-Order Markov Approximations

    Jun 25, 2026Amadeo TunyiMultivariate Time Series ForecastingTemporal Dependence

    XITASO GmbH Austraße 35, 86153 Augsburg, Germany

  28. Few-class Fidelity: Evaluating Explanations of Real-conditions CNN classifiers with Optimized Perturbations

    Jun 23, 2026Wistan Marchadour, Pedro Soto Vega, Franck Vermet +1XaiExplainable Artificial Intelligence

    LaTIM, INSERM, UMR 1101, Univ Brest, Brest, France · LMBA, CNRS, UMR 6205, Univ Brest, Brest, France

  29. Themis: An explainable AI-enabled framework for Reinforcement Learning with Human Feedback

    Jun 23, 2026Andreas Chouliaras, Luke Connolly, Dimitris ChatzpoulosReinforcement Learning From Human FeedbackXai

    School of Computer Science, University College Dublin, Belfield, Dublin 4, Ireland

  30. Quantifying Explainable AI-introduced signal noise on ECG data with Spectral Entropy

    Jun 23, 2026David A. Kelly, Nathan BlakeXaiExplainability

    Dept. of Informatics King’s College London London, UK

  31. Ensemble Feature Selection and Harris Hawks Optimization for Explainable Mental Health Risk Prediction in Female Sex Workers

    Jun 23, 2026Ahnaf Atef Choudhury, Md. Parvej Hoque Palash, Shahriar Siddique Ayon +2Mental HealthXai

    Department of Information Sciences and Technology George Mason University USA · Department of Computer Science and Engineering Jahangirnagar University Bangladesh · Department of Computer Science AIUB Bangladesh +2

  32. A Differentiable Atari VCS:A Complex, Fully Known Ground Truth for Explainable AI

    Jun 21, 2026Andreas Maier, Siming Bayer, Patrick KraussExplainable Artificial IntelligenceXai

    Pattern Recognition Lab, Friedrich-Alexander-University Erlangen-Nuremberg, Germany · Mannheim Center for Neuromodulation and Neuroprosthetics, Heidelberg University, Germany

  33. Prediction of Solar Flares Using Photospheric Magnetic Field Parameters with Deep Learning

    Jun 20, 2026Yash Chaudhary, Jason T. L. Wang, Chunhui Xu +2Geomagnetic StormsXai

    New Jersey Institute of Technology Newark, NJ 07102, USA · State University of New York Oneonta, NY 13820, USA

  34. Towards Dys-XAI: Influence-Based Explanations for Dysarthria Severity Assessment

    Jun 19, 2026Xiaoliang Wu, Qiyang Sun, Yupei Li +3ExplainabilityXai

    University of Southampton, United Kingdom · Imperial College London, United Kingdom · University of Edinburgh, United Kingdom +1

  35. Explainable Artificial Intelligence For The Detection and Characterisation of Stage B Heart Failure

    Jun 18, 2026Ahmed M Salih, Emer Brady, Ranjit Arnold +4XaiCardiac

    Division of Cardiovascular Sciences, University of Leicester, Leicester LE1 7RH, UK · British Heart Foundation Leicester Centre of Research Excellence, University of Leicester and the National Institute for Health and Social Care(NIHR) Biomedical Research Centre Leicester, Glenfield Hospital, Leicester, UK · School of Computing and Mathematical Sciences, University of Leicester, Leicester LE1 7RH, UK

  36. Analysing drivers and interdependencies in European electricity markets using XAI

    Jun 17, 2026Antoine Pesenti, Aidan O'SullivanElectricity MarketsShapley Additive Explanations

    UCL Energy Institute, University College London, UK

  37. BrainFusionNet: a deep learning and XAI model to understand local, global, and sequential features of MRI images for improved brain tumour detection

    Jun 17, 2026Md Taimur Ahad, Bo Song, Yan LiBrain Tumor ClassificationMagnetic Resonance Imaging

    School of Mathematics, Physics and Computing, University of Southern Queensland, Toowoomba, QLD 4350, Australia · School of Engineering, University of Southern Queensland, Toowoomba, QLD 4350, Australia

  38. SketchXplain: Intuitive Visual Explanations of Image Classifiers with Sketches

    Jun 16, 2026Wencan Zhang, Mario Michelessa, Xuejun Zhao +1XaiSketches

    National University of Singapore

  39. Federated Explainable Artificial Intelligence: Roles, Architectures, Evaluation, and Open Challenges

    Jun 15, 2026Masoume Gholizade, Fabrizio Ruffini, Pietro Ducange +1Federated LearningHeterogeneous Federated Learning

    Department of Information Engineering, University of Pisa, Largo Lucio Lazzarino 1, Pisa, 56122, Italy

  40. Listening with Attention: Entropy-Guided Explainability for Transformer-Based Audio Models

    Jun 12, 2026Ravi Ranjan, Utkarsh Grover, Xiaomin Lin +1End-To-End Automatic Speech Recognition ModelsNeural Audio

    Florida International University · Miami, USA · University of South Florida +1

  41. Explaining RhythmFormer: A Systematic XAI Analysis of Periodic Sparse Attention for Remote Photoplethysmography

    Jun 11, 2026Louis Chen, Torbjörn E. M. NordlingRemote PhotoplethysmographyPhysiological Data

    Department of Mechanical Engineering, National Cheng Kung University, Tainan, Taiwan.

  42. Generative Explainability for Next-Generation Networks: LLM-Augmented XAI with Mutual Feature Interactions

    Jun 9, 2026Kiarash Rezaei, Omran Ayoub, Sebastian Troia +3Explainable Artificial IntelligenceXai

    Department of Electrical Engineering, Chalmers University of Technology, 412 96 Gothenburg, Sweden · University of Applied Sciences and Arts of Southern Switzerland, 6928 Lugano, Switzerland · Politecnico di Milano, 20133 Milan, Italy +1

  43. Explainable AI-Driven Cyber Risk Analytics and Model Reliability Assessment for Intelligent Governance of U.S. Critical Infrastructure: An XGBoost and SHAP-Based Intrusion Detection Framework

    Jun 4, 2026B. M. Taslimul Haque, Md. Arifur Rahman, Md. Serajul Kabir Chowdhury Rubel +1CybersecurityIntrusion Detection

    Department of Business Information Systems, Central Michigan University, Mount Pleasant, Michigan, USA. · Department of Information Studies, Trine University, Angola, Indiana, USA. · Department of Computer Science, Maharishi International University, Fairfield, Iowa, USA,.

  44. Output Type Before Quality: A Standards-Derived XAI Admissibility Rubric for Autonomous-Driving Safety

    Jun 3, 2026Abhinaw Priyadershi, Mandar Pitale, Jelena Frtunikj +1XaiAutonomous Driving

    NVIDIA Corporation, Santa Clara, CA, USA · NVIDIA GmbH, Munich, Germany

  45. Beyond Accuracy: Evaluating Efficiency, Robustness and Explainability in Deep Learning for Malaria Diagnosis

    May 29, 2026Olivier Kanamugire, Kerol DjoumessiAccurate Dengue ForecastingExplainability

    African Institute for Mathematical Sciences, Kigali, Rwanda · Hertie Institute for AI in Brain Health, University of Tübingen, Germany

  46. Towards Faithful Agentic XAI: A Verification Method and an Open-World Benchmark for Better Model Faithfulness

    May 27, 2026Jaechang Kim, Sunung Mun, Seungjoon Lee +2XaiExplainable Artificial Intelligence

    Graduate School of AI, POSTECH · Department of Computer Science and Engineering, POSTECH · Krafton

  47. Quality Without Usefulness: LLM-Generated XAI Narratives as Trust Heuristics Rather Than Decision Aids

    May 26, 2026Fabian Lukassen, Jan Herrmann, Christoph Weisser +3XaiExplainable Artificial Intelligence

    University of Göttingen · BASF SE · Hochschule Bielefeld +1

  48. A Causal Argumentation Method for Explainability of Machine Learning Models

    May 20, 2026Henry Salgado, Meagan R. Kendall, Martine CeberioExplainabilityExplainable Artificial Intelligence

    Department of Computer Science, The University of Texas at El Paso, El Paso, TX, USA · Department of Engineering Education and Leadership, The University of Texas at El2026 Paso, El Paso, TX, USA

  49. Can Conversational XAI Improve User Performance? An Experimental Study

    May 19, 2026Sven Kruschel, Julian Rosenberger, Lasse Bohlen +2XaiExplainable Artificial Intelligence

    TU Dresden, Dresden, Germany · University of Regensburg, Regensburg, Germany

  50. A Framework for Evaluating Zero-Shot Image Generation in Concept-based Explainability

    May 19, 2026Giacomo Astolfi, Matteo Bianchi, Riccardo Campi +2Text-To-ImageExplainable Artificial Intelligence

    Politecnico di Milano, DEIB, Italy

  51. ExECG: An Explainable AI Framework for ECG models

    May 19, 2026Jong-Hwan Jang, Yong-yeon JoXai

    Medical AI Co. Ltd., Seoul, Republic of Korea

  52. Learning Quantifiable Visual Explanations Without Ground-Truth

    May 18, 2026Amritpal Singh, Andrey Barsky, Mohamed Ali Souibgui +2XaiExplainable Artificial Intelligence

    Computer Vision Center, Barcelona, Spain · Autonomous University of Barcelona, Spain

  53. Exploring Trust Calibration in XAI - The Impact of Exposing Model Limitations to Lay Users

    May 18, 2026Alfio Ventura, Tim Katzke, Jan Corazza +1XaiAI Trustworthiness

    Research Center Trustworthy Data Science and Security, University Alliance Ruhr, Joseph-von-Fraunhofer-Str. 25, Dortmund, 44227, Germany · University of Duisburg-Essen, Bismarckstraße 120, Duisburg, 47057, Germany · TU Dortmund University, August-Schmidt-Straße 1, Dortmund, 44227, Germany

  54. XAI and Statistical Analysis for Reliable Intrusion Detection in the UAVIDS-2025 Dataset: From Tree to Hybrid and Tabular DNN Ensembles

    May 13, 2026Iakovos-Christos Zarkadis, Christos DouligerisIntrusion DetectionDrone Detection

    University of Piraeus Athens, Greece · Dept. of Informatics University of Piraeus Piraeus, Greece

  55. A New Technique for AI Explainability using Feature Association Map

    May 12, 2026Sayantani Ghosh, Amit Kumar Das, Amlan ChakrabartiXaiExplainability

    1DBS Bank. · Institute of Engineering & Management. · 1,2,3University of Calcutta.

  56. BoolXLLM: LLM-Assisted Explainability for Boolean Models

    May 12, 2026Du Cheng, Serdar Kadioglu, Xin WangExplainabilityXai

    AI Center of Excellence, Fidelity Investments, MA, USA · Department of Computer Science, Brown University, RI, USA

  57. Persistent and Conversational Multi-Method Explainability for Trustworthy Financial AI

    May 12, 2026Georgios Makridis, Georgios Fatouros, John Soldatos +2XaiFinancial Sentiment Analysis

    University of Piraeus, Greece · ExpertAI-Lux S.à r.l · Department of Digital Systems

  58. Useful for Exploration, Risky for Precision: Evaluating AI Tools in Academic Research

    May 11, 2026Anthea Dathe, Kiran Hoffmann, Aline MangoldResearch AutomationScientific Workflows

    Department Speculative Transformation Dresden University of Technology Dresden, 01062

  59. ProDG: Prototypes for Data-Free Generative Post-Hoc Explainability

    May 9, 2026Piotr Borycki, Magdalena Trędowicz, Jacek Tabor +2Learnable PrototypesXai

    Jagiellonian University · IDEAS Research Institute · Centre for Credible AI +1

  60. Reconciling Consistency-Based Diagnosis with Actual-Causality-Based Explanations

    May 9, 2026Leopoldo BertossiXaiExplainable Artificial Intelligence

    Carleton University, Canada · IMFD, Chile · Emeritus Professor. Adjunct Professor Western University, Canada.