Explainable Artificial Intelligence

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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

  2. A Unifying Framework of Concept-based Explainable AI with Completeness Guarantees

    Sep 28, 2026Vojtěch Kůr, Adam Kukučka, Tomáš Brázdil +1Explainable Artificial IntelligenceArtificial Intelligence Models

  3. xWhyL: Causal Interactive Learning

    Sep 22, 2026Nicholas Tagliapietra, Florian Peter Busch, Moritz Willig +4Causal ReasoningCausal

  4. PiPS: Post-Hoc Prototypical Explanations for Interpretable Semantic Segmentation

    Sep 15, 2026Miłosz Adamczyk, Tymoteusz Zapala, Piotr Borycki +1Efficient Semantic SegmentationSemantic Segmentation

  5. Diversified and Perceptible Counterfactual Examples Leveraging Expert Knowledge

    Sep 14, 2026Akram Bensalem, Fahima Djelil, Marie-Jeanne Lesot +1Counterfactual ExplanationExplainable Artificial Intelligence

  6. Interpreting hierarchical organisation of speaker embeddings

    Sep 14, 2026Yanze Xu, Wenwu Wang, Mark D. PlumbleySpeakerCluster

  7. Self-Verifying Anomaly Detection using Explainable AI for Cybersecurity of DER Networks

    Sep 14, 2026Damilola Popoola, Souradeep Bhattacharya, Manimaran GovindarasuInterpretable Anomaly DetectionDistributed Energy Resources

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

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

  9. Exploring Second-Order Pattern Recognition in Speaker Recognition

    Sep 12, 2026Yanze Xu, Wenwu Wang, Mark D. PlumbleySpeakerExplainable Artificial Intelligence

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

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

  11. Cross-Dataset Transfer and Reliability of Explainable Artificial Intelligence for RhythmFormer Remote Photoplethysmography

    Sep 3, 2026Louis Chen, Torbjörn E. M. NordlingRemote PhotoplethysmographyHeart Rate

  12. Assessing Alignment and Stability of Feature Importance Explanations via Weight of Evidence

    Aug 31, 2026Eddie Conti, Claudio Daka, Álvaro Parafita +3Feature ImportanceExplainable Artificial Intelligence

  13. Characterizing Necessary Losers to Explain Tournaments Solutions

    Aug 24, 2026Contet Clément, Umberto Grandi, Jérôme MenginCompetitionExplainable Artificial Intelligence

  14. On the global feature importance for interpretable and trustworthy heat demand forecasting

    Aug 13, 2026Milan ZdravkovićFeature ImportanceExplainable Artificial Intelligence

  15. CAS: A Causal Attribution Score for Local and Global Explainable Artificial Intelligence

    Aug 12, 2026Michael Georgiades, Charalambia VarnavaShapley Additive ExplanationsShapley Value

  16. Class Activation Mapping in Explainable Computer Vision: A Method-Centered Review of CNN, Transformer, and Foundation-Model-Era Visual Explanations

    Aug 12, 2026AmirHossein Eshghi, Hamid Saadatfar, Seyyed Ali Hoseini +2Gradient-Weighted Class Activation MappingClass Activation Mapping

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

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

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

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

  19. 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

  20. Challenges in Evaluating Explanation Methods for Static and Evolving Data

    Aug 6, 2026Jerzy StefanowskiExplainable Artificial IntelligenceExplainable AI Methods

  21. Grad-CAM for Vision Transformers: A Systematic Taxonomy and Audit of Methodological Ambiguity in Explainable AI

    Aug 5, 2026Casey Wall, Longwei Wang, Rodrigue Rizk +1Gradient-Weighted Class Activation MappingVision Transformer

  22. Does Explainability Transfer? A Controlled Benchmark of Attribution Methods on Vision Transformers and CNNs

    Aug 3, 2026Sathiyamohan Nishankar, Nethmi Pathirana, Pubudu Sanjeewani +2Self-Supervised Vision TransformersVision Transformer

  23. Explainable AI for the EU Right to Explanation: A Systematic Review of the Law-XAI Translation Gap

    Aug 3, 2026Benjamin Fresz, Elena Dubovitskaya, Marco F. HuberExplainable Artificial IntelligenceEu Artificial Intelligence Act

  24. Paris as a 15-Minute City: An Explainable AI Perspective

    Aug 1, 2026András J. Molnár, Csaba I. Sidló, Rita Rónai +1Urban MobilityUrban Environments

  25. Explainable AI for Chronic Kidney Disease Prediction Using Simulated Federated Learning

    Jul 28, 2026Md Zahid Hasan Ontor, Md Al Amin, Anik Dev Nath +1Chronic Kidney DiseaseFederated Learning

  26. 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

  27. 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

  28. Explainable AI through the Lens of Material Agency: Enabling Musical Interface Design with Neural Audio Models

    Jul 25, 2026Shuoyang Jasper Zheng, Anna Xambó Sedó, Nick Bryan-KinnsExplainable Artificial IntelligenceArtistic Ownership

  29. Explanation-Based Runtime Verification for Trustworthy ML-driven Optical Networks

    Jul 22, 2026Omran Ayoub, Carlos Natalino, Ali Al Housseini +5Explainable Artificial IntelligenceOptical Networks

  30. Explaining and Tuning Transformer-based LLMs in Arithmetic Tasks with Human Strategies

    Jul 19, 2026Luyu Qiu, Jianing Li, Hwanhee Kim +4Transformer ArchitecturesTask Arithmetic

  31. From Plausible to Actionable: A Position on LLM Self-Explanations

    Jul 17, 2026Elize Herrewijnen, Benedetta Muscato, Gizem Gezici +1Explainable Artificial IntelligenceExplainable AI Methods

  32. Scaling Time Series Classification via XAI-Driven Data Reduction

    Jul 17, 2026Davide Italo Serramazza, Thach Le Nguyen, Georgiana IfrimTime-Series ClassificationTime Series

  33. ConceptSMILE: Auditing the Trustworthiness of Concept-Based Explainable AI

    Jul 10, 2026Mohadeseh Mollapour, Koorosh Aslansefat, Zeinab Dehghani +3Explainable Artificial IntelligenceTrustworthy Artificial Intelligence

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

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

  35. Mechanistic Interpretability for Neural Networks: Circuits, Sparse Features and Symbolic Reasoning

    Jul 8, 2026Pranav Sawant, Jakub KrejčíMechanistic InterpretabilityExplainable Artificial Intelligence

  36. Measuring What Matters: A Unified Evaluation Framework for GNN Explainability

    Jul 6, 2026Francesco Paolo Nerini, Mirko Zaffaroni, Paolo Baracco +2Explainable Artificial IntelligenceGnn-Based Detectors

  37. Explainable AI for Screening Abuse-Related Trauma in Bangladeshi Children: A Training-Free Multimodal Framework Evaluated on Noise-Aware Synthetic Data

    Jul 4, 2026Salma Hoque Talukdar Koli, Fahima Haque Talukder JelyMental HealthScreening

  38. Explainable AI for Cancer Drug Response Prediction: Beyond Univariate Feature Attributions

    Jul 1, 2026Martino Ciaperoni, Margherita Lalli, Simone Piaggesi +6Explainable Artificial IntelligenceImportance

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

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

  40. SIGMA: Saliency-Guided Sparse Mask Attacks for Speech Emotion Recognition

    Jun 29, 2026Qiyang Sun, Yi Chang, Zixing Zhang +1Explainable Artificial Intelligence

  41. Low-cost concept-based localized explanations: How far can we get with training-free approaches?

    Jun 27, 2026Darian Fernández-Gutiérrez, Rafael Bello, Marilyn Bello +1Explainable Artificial IntelligenceMultimodal Large Language Models

  42. Explainable AI for Biodiversity Monitoring and Ecological Image Analysis

    Jun 26, 2026Brinnae Bent, Holly R. Houliston, Jiayi Zhou +2Biodiversity MonitoringExplainable Artificial Intelligence

  43. 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

  44. Explainable AI in Speaker Recognition -- Attention Map Visualisation and Evaluation

    Jun 22, 2026Yanze Xu, Mark D. Plumbley, Wenwu WangSpeakerExplainable Artificial Intelligence

  45. Explainable AI for Mental Health Prediction in Drug-Affected Populations with Dragonfly Algorithm and GAN Oversampling

    Jun 22, 2026Ahnaf Atef Choudhury, Shahriar Siddique Ayon, Md. Ebrahim Hossain +1Clinical PredictionMental Health

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

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

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

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

  48. Few-Shot Hyperspectral Aphid Detection via FastGAN Synthetic Data Generation, Transformer-Based Classification and Explainable AI

    Jun 19, 2026Ali SaeidanLeaf Disease ClassificationHyperspectral Image

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

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

  50. CIExplainer++: Generating Causal and Interpretable Explanations for Graph Neural Networks

    Jun 17, 2026Francisco Caldas, Sahil Satish Kumar, Ruben Belo +1Explainable Artificial IntelligenceCausal Graph

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

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

  52. Assessing Reliability of Symbol Detection in Concept Bottleneck Models

    Jun 15, 2026Javier Fumanal-Idocin, Javier Andreu-PerezConcept Bottleneck ModelsExplainable Artificial Intelligence

  53. XAI-Grounded Explanation Generation for Speech Deepfake Detection with Training-Free Multimodal Large Language Models

    Jun 15, 2026Yupei Li, Qiyang Sun, Xiaoliang Wu +3Speech Language ModelsExplainable Artificial Intelligence