Explainability

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17 papers in the last four weeks, up 325% on the four weeks before. 0.2% of all new papers.

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  1. Does Explainability Survive Data Drift?

    Oct 4, 2026Samuel OzechiExplainability

  2. A Comparative Explainability Framework for DeBERTa-v3 in Zero-Shot Medical Abstract Classification

    Oct 1, 2026Javier Diaz Esteban-Herreros, David Muñoz-Valero, Raquel Martínez-España +2ExplainabilityBert-Based Models

    Department of Technologies and Information Systems, Universidad de Castilla-La Mancha, Avenida Carlos III, s/n, Toledo, 45071, Spain · University of Murcia, Avenida Teniente Flomesta, 5, Murcia, 3003, Spain · Murcian Bio-Health Institute (IMIB-Arrixaca), Pabellón Docente del Hospital Clínico Universitario Virgen de la Arrixaca, Murcia, 3120, Spain

  3. MCIR: A Feature Dependence-Aware Explainability Method with Reliability Guarantees

    Oct 1, 2026Poushali Sengupta, Sabita Maharjan, Frank Eliassen +2Feature ImportanceExplainability

    Department of Informatics, University of Oslo Oslo, Norway · Department of Electronic Systems, Aalborg University Aalborg, Denmark

  4. Explainability from Training with Applications to TCR-Epitope Prediction

    Sep 28, 2026Jiarui Li, Zixiang Yin, Samuel Landry +2Epitope PredictionExplainability

    Department of Computer Science, Tulane University · Department of Biochemistry and Molecular Biology, Tulane University School of Medicine

  5. A decision-support system applied to Law: Reasoning and explainability of the decision

    Sep 28, 2026Jeremy Bouche-Pillon, Pascale Zarat{é}, Yannick Chevalier +1Legal Reasoning TasksExplainability

    IRIT, IRIT-MELODI, IRIT-ADRIA, IRIT-LILaC · IRIT, UT Capitole, IRIT-ADRIA · IRIT-MELODI, IRIT, CNRS

  6. T-MoXAI: A Hierarchical Explainability Framework for Temporal Multimodal Data

    Sep 27, 2026Ali Inha, Mo Vali, Saaliha Vali +2Explainability

    Department of Computer Science, University of Cambridge, Cambridge, UK · Cavendish Laboratory, Department of Physics, University of Cambridge, Cambridge, UK · Imperial College Healthcare NHS Trust, London, UK +1

  7. Faithful Faithfulness Evaluations: Challenges & Pitfalls Learned from a Breast MRI Case Study

    Sep 22, 2026Peachapong Poolpol, Henrik H. J. Detjen, Eike PetersenExplainabilitySaliency

    Fraunhofer Institute for Digital Medicine MEVIS, Bremen, Germany · Deggendorf Institute of Technology, Deggendorf, Germany

  8. Explainable Neuro-Fuzzy Prediction for Trustworthy Decision-Making in Maritime

    Sep 21, 2026Dionisis Kalogeropoulos, Georgia Sovatzidi, Dimitris K. IakovidisFuzzyExplainability

    Dept of Computer Science and Biomedical Informatics University of Thessaly Lamia, Greece

  9. Explainable Predictive Condition-based Maintenance of Naval-Propulsion Systems using Fuzzy Logic

    Sep 21, 2026Dionisis Kalogeropoulos, Georgia Sovatzidi, Panagiotis G. Kalozoumis +1Predictive MaintenanceExplainability

    Department of Computer Science and Biomedical Informatics, University of Thessaly

  10. Probabilistic Linear Explanations

    Sep 16, 2026Frederic Koriche, Jean-Marie Lagniez, Chi TranExplainabilityExplainable AI Methods

    Computer science Research Institute of Lens (CRIL), UMR CNRS 8188, University of Artois, Rue Jean Souvraz SP 18, Lens, F-62307, France

  11. Regional Explanations via Causal Sufficiency and Necessity

    Sep 16, 2026Xuexin Chen, Peng Liang, Zijian Li +2ExplainabilitySufficiency

    School of Artificial Intelligence, Guangdong Polytechnic Normal University, Guangzhou 510665, China · Mohamed bin Zayed University of Artificial Intelligence, Masdar City, Abu Dhabi, United Arab Emirates · School of Computer Science and Technology, Guangdong University of Technology, Guangzhou 510006, China

  12. Beyond Measurement Metrics: A Human-Centered Framework for Semantic Validation of Network Traffic Classification

    Sep 15, 2026Igor Cherepanov, David Sessler, Alex Ulmer +2ExplainabilityTraffic

    Fraunhofer IGD, Darmstadt, 64283, Germany. · Technische Universität Darmstadt, Darmstadt, 64289, Germany.

  13. A Multimodal Explainable Deep Learning Framework for Alzheimer's Disease Diagnosis using 3D Magnetic Resonance Imaging and Clinical Data

    Sep 14, 2026Yusuf Brima, Marcellin Atemkeng, Lakshmana Rao Namamula +1AlzheimerMultimodal Clinical Data

    Computer Vision, Institute of Cognitive Science, Osnabrück University, Germany. · Department of Mathematics, Rhodes University, South Africa. · National Institute for Theoretical and Computational Sciences (NITheCS), Stellenbosch, 7600, South Africa. +2

  14. DynSHAP: Towards Explainable Dynamic Survival Analysis

    Sep 14, 2026Nastasya Anokhina, Jonas Jür\ss, Pietro LiòShapley Additive ExplanationsSurvival Analysis

    University of Cambridge

  15. LLMs as Post-hoc Auditors of Physiological Plausibility in Symbolic Regression: A Clinician-Evaluated Case Study

    Sep 12, 2026Jorge López-Varela, J. Ignacio Hidalgo, José-Manuel Muñoz +6Symbolic RegressionExplainability

    Computer Architecture Department, Universidad Complutense de Madrid, Spain. · Bioinspired Intelligence Ltd., Pozuelo de Alarc´on, Spain · Universidad Aut´onoma de Baja California, M´exico +7

  16. A Quantitative Evaluation Framework for Temporal Explainability in Echocardiographic Video Segmentation

    Sep 7, 2026Jiyoo Noh, Jonathan H. ChanEchocardiographyGradient-Weighted Class Activation Mapping

    University of Toronto, Canada · King Mongkut’s University of Technology Thonburi, Thailand

  17. Understanding the Impact of Model Pruning on Long-Tail Forgetting and Explanation Reliability in Medical Imaging

    Sep 7, 2026Nazish Khalid, Tausifa Jan Saleem, Amal Saqib +2ExplainabilityMedical Imaging Datasets

    Department of Electrical and Computer Engineering, Missouri University of Science and Technology, Rolla, MO 65409 USA · Computing and Mathematical Sciences Division, Mohamed bin Zayed University of Artificial Intelligence, Abu Dhabi, United Arab Emirates

  18. Pushing the (Decision) Boundaries: Dynamically Calibrating Differentially Private Noise to Explainability in Federated Learning

    Sep 3, 2026Michael Khavkin, Kichang Lee, Jaeho Jin +2Federated LearningExplainability

    School of Industrial & Intelligent Systems Engineering, Tel Aviv University · School of Integrated Technology, Yonsei University

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

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

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

  20. ICON Decomposition: Auditing deep neural networks for shortcuts by decomposing layer-wise representations using concepts

    Aug 26, 2026Roshan Prakash Rane, Marco Simnacher, Manuel Pfeuffer +7ExplainabilityShortcut Learning

    Hertie Institute for AI in Brain Health, University of Tübingen, Tübingen, Germany. · Department of Psychiatry and Neurosciences, Charité - Universitätsmedizin Berlin, Berlin, Germany. · Department of Psychology, Humboldt-Universität zu Berlin, Berlin, Germany. +5

  21. 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

    Department of Computer Engineering, University of Birjand, Iran · Department of Applied Mathematics and Computer Science Visual Computing, Technical University of Denmark, Denmark

  22. Backward Compatibility in Tree-Based Explanations and Enhanced CART Algorithm

    Aug 9, 2026Hirofumi SuzukiDecision TreesExplainability

    Fujitsu Limited Kawasaki, Kanagawa, Japan

  23. Explanation Stability of Test-Time Adaptation in Computational Pathology: A Large-Scale Benchmark

    Aug 7, 2026R. G. Bahumanya, Harshith V. M., Shreyank N. Gowda +1Computational PathologyTest-Time Adaptation

    Department of Computer Science and Engineering, R.V. College of Engineering, Bengaluru, India · School of Computer Science, University of Nottingham, Nottingham, United Kingdom

  24. Beyond Feature Importance: A Comparative Analysis of Pattern Detection Methods in Cluster Interpretation

    Aug 6, 2026Benjamin Connor, Anna Jurek-Loughrey, Lu Bai +1Feature ImportanceClustering

    School of EEECS Queen’s University Belfast 18 Malone Road, Belfast, BT9 5AF

  25. Patients-like-me: A Variational LM--GNN Framework for Explainable Clinical Prediction

    Aug 4, 2026Xinyu Wang, Yixuan Li, Hanwei Wu +4Medical World ModelClinical Prediction

    1McGill University · 2Université de Montréal · 3Georgia State University +1

  26. VetScore: Risk-Weighted Fact Verification for Veterinary Long-Form QA with Citations

    Aug 4, 2026Ivan Kartáč, Jan Tovarys, Mateusz Lango +1Category-Aware Atomic ClaimsVerdict

    PrimVeterinary · Institute of Formal and Applied Linguistics, Charles University

  27. SAGE: Semantic Explainability of Attention-Based Survival Models in Computational Pathology

    Aug 3, 2026Abdallah Lamane, Abdul Rahman Diab, Ren-Chin Wu +1Computational PathologySurvival Predictions

    Massachusetts Institute of Technology, Cambridge, MA, USA · Department of Data Science, Dana-Farber Cancer Institute, Boston, MA · Department of Pathology, Dana-Farber Cancer Institute, Boston, MA +2

  28. Trustworthy AI in Digital Health: A Comprehensive Review of Robustness and Explainability

    Aug 3, 2026Abdullah Mamun, Shovito Barua Soumma, Hassan GhasemzadehTrustworthy Artificial IntelligenceHealthcare

    College of Health Solutions, Arizona State University, Phoenix, AZ, USA · School of Computing and Augmented Intelligence, Arizona State University, Tempe, AZ, USA

  29. Measuring Explainer Stability via Attribution Separability

    Aug 3, 2026Eddie Conti, Álvaro Parafita, Axel BrandoExplainabilityBlack Box

    Barcelona Supercomputing Center, Barcelona, Spain

  30. Crushing the Evidence: A Dual-Penalty Evasion Framework for Fooling White-Box Explainable AI Auditors

    Aug 1, 2026Niraj Kumar, Harsh KasyapBlack-Box Adversarial AttacksExplainability

    Indian Institute of Technology Gandhinagar · Indian Institute of Technology (BHU) Varanasi

  31. A Human-Centered Validation of the Explainability-Performance Coefficient

    Jul 31, 2026Christian Oliva, Luis F. Lago-FernándezExplainabilityExplainable AI Methods

    Grupo de Neurocomputaci´on Biol´ogica, Departamento de Ingenier´ıa Inform´atica, Escuela Polit´ecnica Superior, Universidad Aut´onoma de Madrid, Spain

  32. What Is Missing in Surgical Risk Stratification and Outcome Prediction: A Scoping Review of End-to-End Machine Learning Approaches

    Jul 31, 2026Yizhi Dong, Yuhe Ke, Hairil Rizal Abdullah +4Electronic Health RecordsCross Validation

    Saw Swee Hock School of Public Health, National University of Singapore, Singapore 117549 · Data Science and Artificial Intelligence Lab, Singapore General Hospital, Singapore 169608 · Duke-NUS Medical School, Singapore 169857 +5

  33. Contrastive Concept Importance: Explaining Pairwise Class Decisions Through Automatically Extracted Concept Representations

    Jul 30, 2026Roel Visser, Isaac Roberts, Barbara HammerContrastive LearningExplainability

    Bielefeld University, Inspiration 1, 33619 Bielefeld, Germany

  34. Rethinking Artificial Intelligence in Medical Imaging: Assumptions, Reality, and Reframing

    Jul 29, 2026Arman Rahmim, Nourhan Bayasi, Xiaoxiao Li +2Medical ImagingArtificial Intelligence Evaluation

    Department of Basic and Translational Research, BC Cancer Research Institute, Vancouver, BC, Canada · Department of Radiology, University of British Columbia, Vancouver, BC, Canada · Departments of Physics and Biomedical Engineering, University of British Columbia, Vancouver, BC, Canada +3

  35. Which Modality Decides? Counterfactual Modality Attribution for Multimodal LLMs

    Jul 29, 2026Vahidin Hasic, Chao Wang, Luis C. Garcia-Peraza-Herrera +2Multimodal Large Language ModelsModalities

    Faculty of Electrical Engineering, University of Sarajevo, Bosnia and Herzegovina · King’s College London, United Kingdom

  36. (EC)2: Event-Centric Explainability for Cybersecurity Through Multi-Agent LLM Investigations

    Jul 28, 2026Neta Kirmayer, David Tayouri, Andrés Murillo +3CybersecurityInterpretable Anomaly Detection

    Ben-Gurion University of the Negev, Beer-Sheva, Israel · Fujitsu

  37. dtControl2+ε\varepsilon: Trading Optimality for Explainability in MDPs via Decision Trees

    Jul 28, 2026Tereza Kinská, Jan Křetínský, Tobias Meggendorfer +2Decision TreesMarkov Decision Processes

    Masaryk University, Brno, Czech Republic · Technical University of Munich, Munich, Germany · Lancaster University Leipzig, Leipzig, Germany +1

  38. Why Public Service AI Governance Frameworks Risk Failing in the Age of General-Purpose AI: Lessons from Policing

    Jul 28, 2026Sam Relins, Daniel BirksArtificial Intelligence GovernanceArtificial Intelligence Safety

    School of Law, University of Leeds, Leeds, UK · ESRC Vulnerability and Policing Futures Research Centre

  39. KANEx: Translating Kolmogorov-Arnold Networks' Interpretability to Medical Explainability

    Jul 27, 2026Krithi Shailya, Ananya Lakshmi Ravi, Venkatanathan K. V. +4Medical Vision-Language ModelsExplainability

    Centre for Responsible AI, Wadhwani School of Data Science and AI, Indian Institute of Technology Madras, Chennai, India · Vanderbilt University School of Medicine, Nashville, USA

  40. Behavior-Driven Explainability

    Jul 27, 2026Caroline Dominik, Rolf DrechslerExplainabilitySafety-Critical Scenarios

    University of Bremen/DFKI · Bremen, Germany

  41. MiSS: A Logic-Driven Explanation of Minimal Sufficient Coalitions for Point Cloud Classifiers

    Jul 27, 2026Mengda Xing, Jean-Marie LagniezExplainabilityPoint Clouds

    UA, CRIL · CRIL, Univ. Artois, Lens, France

  42. 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

    Centre for Digital Music, Queen Mary University of London, London, United Kingdom · Creative Computing Institute, University of the Arts London, London, United Kingdom

  43. Variable Importance Identification Through Lazy Training for Binary Classification

    Jul 25, 2026Anand Singh, Luke Pennella, Eshan Kabir +1Feature ImportanceExplainability

    Department of Mathematics, Georgia Institute of Technology · Department of Mathematics, University of Connecticut · Department of Mathematics, Columbia University +1

  44. Explainable Reinforcement Learning for assisting Air Traffic Controllers

    Jul 24, 2026Anduel Mehmeti, Gabriella Gigante, Salvatore VenticinqueExplainabilityAir Traffic Control

    Department of Engineering, University of Campania "Luigi Vanvitelli", Italy · CIRA, Italy

  45. Unboxing Diffusion Models for the Arts: Interactive Model Bending and Practice-Based Explainability

    Jul 24, 2026Ahmed M. Abuzuraiq, Philippe PasquierText-To-Image Diffusion ModelsExplainable Artificial Intelligence

    School of Interactive Arts and Technology, Surrey, Canada

  46. Towards Faithful Graph Explanations with Synergistic Edge Effects via Granular Balls

    Jul 23, 2026Jiancu Chen, Shuyin Xia, Guan Wang +2Graph Neural NetworksSubgraphs

    Chongqing Key Laboratory of Computational Intelligence, Key Laboratory of Big Data Intelligent Computing, Key Laboratory of Cyberspace Big Data Intelligent Security, Ministry of Education, School of Computer Science and Technology, Chongqing University of Posts and Telecommunications, Chongqing, China · School of Computer Science and Engineering, Chongqing Three Gorges University, Chongqing, China

  47. Do emulated quantum circuits change what CNNs look at? Performance and explainability comparison in medical image classification

    Jul 23, 2026Guillermo Rubiños Rodríguez, Martín Ottavianelli, Mateo Alonso +4Hybrid Quantum-Classical PipelineQuantum Circuits

    Instituto Tecnol´ogico de Galicia, Cant´on Grande 9, Planta 3, 15003 A Coru˜na, Spain · Centro Singular de Investigaci´on en Tecnolox´ıas Intelixentes (CiTIUS), Universidade de Santiago de Compostela, Santiago de Compostela, 15782, Spain · Department of Neuroradiology, LMU University Hospital, Ludwig Maximilian University of Munich, Marchioninistraße 15, 81377 Munich, Germany +1

  48. Counterfactual Explainability Framework With CycleGAN And Counterfactual-Classifier Alignnment Score for Retinal Disease Classification

    Jul 23, 2026Kritanu Chattopadhyay, Sayanjit Singha Roy, Soumya ChatterjeeFundus ImagesCounterfactual Explanation

    Department of Mechanical Engineering, National Institute of Technology Durgapur, West Bengal, 713209, India · Department of Electrical Engineering, IIT Kanpur, Uttar Pradesh, 208016, India · Department of Electrical Engineering, National Institute of Technology Durgapur, West Bengal, 713209, India

  49. A Multi-Dimensional Evaluation of Explainability in Media Bias Detection

    Jul 22, 2026Ting Chen, Raina Zhang, Benjamin M. Ampel +1ExplainabilityMulti-Dimensional Evaluation

    Carnegie Mellon University · Indiana University · Georgia State University

  50. ConceptCF: Concept-based Counterfactuals for the Explainability of Time Series

    Jul 21, 2026Annemarie Jutte, Faizan Ahmed, Jeroen Linssen +1Counterfactual ExplanationCounterfactual Generation

    Saxion University of Applied Sciences, Enschede, The Netherlands · University of Twente, Enschede, The Netherlands

  51. Feature Attribution-Based Explainability Analysis of Deep Learning Models in Predictive Process Monitoring

    Jul 20, 2026Kseniya Sahatova, Rafael Seidi Oyamada, Xuefei Lu +1ExplainabilityDeep Learning

    SKEMA Business School, 92156 Suresnes, France · KU Leuven, B-3000 Leuven, Belgium

  52. Position: Explanation Stability Is a Property of the Model Method Pair, Not the Model

    Jul 18, 2026Kabilan Elangovan, Daniel TingExplainabilityGradient-Weighted Class Activation Mapping

    Singapore Health Services and Singapore Eye Research Institute, Singapore.

  53. 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

  54. Evaluating RE Practices for Explainability: Synthesizing Insights from Daimler Truck into an Explainable RE Framework Proposal

    Jul 13, 2026Umm-e- Habiba, Lucas Mauser, Jonas Fritzsch +2ExplainabilityElicitation

    TUM School of CIT, Technical University of Munich, Heilbronn, Germany · Daimler Truck AG, Leinfelden-Echterdingen, Germany · Institute of Software Engineering, University of Stuttgart, Stuttgart, Germany +1

  55. Gradient-Skipping Relevance Propagation for Efficient Explainability of Vision Transformers

    Jul 11, 2026Christopher Buratti, Michele Marchetti, Federica Parlapiano +3Vision TransformerGradient-Weighted Class Activation Mapping

    DII, Polytechnic University of Marche · CHIMOMO, University of Modena and Reggio Emilia

  56. Why Do You Say It Like That? A Phoneme-level Framework for Explainable Speech Deepfake Detection

    Jul 9, 2026Anna Taylor, Michele Panariello, Massimiliano Todisco +3Audio Deepfake DetectionSpoofing

    EURECOM, Sophia Antipolis, France · Laboratoire Informatique d’Avignon, Avignon Université, France

  57. Cross-seed explainability using Procrustes-conditioned Joint End-to-end Top-K Sparse Autoencoders

    Jul 9, 2026Bendegúz Váradi, Zoltán KmettyImproving Sparse AutoencodersBert-Based Models

    Centre for Social Sciences, CSS-RECENS Research Group, Budapest 1097, Hungary. · Department of Sociology, Faculty of Social Sciences, Eötvös Loránd University, Budapest, Hungary.

  58. 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

  59. ReMoDEx: A Local-to-Global Relevance-Based Model Decision Explainability Framework for large-Scale Image Datasets

    Jul 8, 2026Abhay Kumar Pathak, Mrityunjay Chaubey, Manjari GuptaExplainabilityImage Classification

    Department of Computer Science, Institute of Science, Banaras Hindu University, Varanasi, India · University of Petroleum and Energy Studies, Dehradun, India

  60. X-FEMR: A Token-level Explainable Approach for Electronic Health Records Foundation Models using Transformer-based Models

    Jul 7, 2026Jie Huang, Pengfei Yin, Zihan Xu +3Medical World ModelExplainability

    School of Computing and Information Systems, University of Melbourne, Melbourne, Australia · Department of General Medicine, Royal Melbourne Hospital Melbourne, Australia