Explainability

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ExplanationsExplainable Artificial IntelligenceXaiConcept-Based Explainability

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Period ending 2026-09-14

1 new paper

A weekly snapshot of new work published in Explainability.

Period ending 2026-09-07

1 new paper

A weekly snapshot of new work published in Explainability.

72 papers

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  1. 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

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

    Sep 3, 2026Michael Khavkin, Kichang Lee, Jaeho Jin +2Differential PrivacyExplainability

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

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

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

    Aug 4, 2026Ivan Kartáč, Jan Tovarys, Mateusz Lango +1VerdictMedical Question Answering

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

    Aug 3, 2026Abdullah Mamun, Shovito Barua Soumma, Hassan GhasemzadehExplainabilityHealthcare

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

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

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

    Jul 31, 2026Christian Oliva, Luis F. Lago-FernándezExplainabilityExplanations

  8. 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 RecordsMachine Learning

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

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

  10. 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

  11. Behavior-Driven Explainability

    Jul 27, 2026Caroline Dominik, Rolf DrechslerConcept-Based ExplainabilityExplainability

  12. Variable Importance Identification Through Lazy Training for Binary Classification

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

  13. 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

  14. 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 +4Quantum Neural NetworksQuantum Circuits

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

    Jul 23, 2026Kritanu Chattopadhyay, Sayanjit Singha Roy, Soumya ChatterjeeRetinal ImagingCounterfactual Explanation

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

    Jul 22, 2026Ting Chen, Raina Zhang, Benjamin M. Ampel +1ExplainabilityAttribution Methods

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

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

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

    Jul 20, 2026Kseniya Sahatova, Rafael Seidi Oyamada, Xuefei Lu +1ExplainabilityPredictive Performance

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

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

  20. 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

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

    Jul 11, 2026Christopher Buratti, Michele Marchetti, Federica Parlapiano +3Vision TransformerExplainability

  22. 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 DetectionSpoofed Speech

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

    Jul 9, 2026Bendegúz Váradi, Zoltán KmettyImproving Sparse AutoencodersSparse Autoencoders

  24. 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

  25. Towards the Explainability of Temporal Graph Networks via Memory Backtracking and Topological Attribution

    Jul 4, 2026Yazheng Liu, Xi Zhang, Sihong Xie +1Temporal Graph Neural NetworksHierarchical Graph Memory

  26. Beyond Gradient-Based Attacks: Adversarial Robustness and Explainability Stability in Cybersecurity Classifiers

    Jul 2, 2026Mona Rajhans, Vishal KhawareyExplainability

  27. Shapley in Context: Explaining Financial Language with Domain Expertise

    Jul 1, 2026Dangxing Chen, Pengzhan GuoShapley ValueExplainability

  28. Interpreting "Interpretability" and Explaining "Explainability" in Machine Learning in Physics

    Jun 24, 2026Rikab Gambhir, Luisa Lucie-Smith, Jesse ThalerModel Interpretability MethodsExplainability

  29. What's in an Earth Embedding? An Explainability Analysis of Location Encoders

    Jun 23, 2026Livia Betti, Sebastian Ricke, Ivica Obadic +2GeospatialImplicit Neural Representations

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

    Jun 23, 2026David A. Kelly, Nathan BlakeXaiExplainability

  31. MedHal-Loc: Are "Explainable-by-Architecture" Medical Hallucination Detectors Faithful Localizers? A Localization Benchmark

    Jun 19, 2026Minmin Chen, Daojian Lu, Yining Dai +2Hallucination ProblemLocalization

  32. TelcoAgent: A Scalable 5G Multi-KPM Forecasting With 3GPP-Grounded Explainability

    Jun 18, 2026Geon Kim, Dara Ron, Sukhdeep Singh +5Mobile NetworksRetrieval-Augmented Forecasting

  33. LLM-Based Visual Explanation Evaluation Framework for Assessing the Explainability of Facial Skin Disease Classification Models

    Jun 15, 2026Gyuyeon NaSkin Lesion ClassificationExplainability

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

    Jun 12, 2026Ravi Ranjan, Utkarsh Grover, Xiaomin Lin +1Automatic Speech Recognition ModelSelf-Supervised Audio Representations

  35. Where Black-box Drug-Target Interaction Prediction Models Look: Cross-Method Explainability

    Jun 12, 2026Ali Vefghi, Zahed Rahmati, Mohammad AkbariDrug-Drug InteractionsDrug Discovery

  36. HSQ-VLM: A Novel Spatially-Constrained Quadrant Segmentation VLM Model for Explainability in Diabetic Retinopathy

    Jun 11, 2026Shivum TelangFundus ImagesLesion Segmentation

  37. Using Explainability as a Training-Time Reliability Signal for Efficient ECG Classification

    Jun 10, 2026Veerendhra Kumar Dangeti, Xiao Gu, Ying Weng +1Electrocardiogram Image ClassificationTime-Series Classification

  38. Differences in Detection: Explainability Where it Matters

    Jun 5, 2026Johannes Theodoridis, Johannes Maucher, Andreas SchillingDetection PerformanceExplainability

  39. Explaining Unsupervised Disease Staging in Huntington's Disease: Insights into Model Representations and Clusters

    Jun 5, 2026Lubna Mahmoud Abu Zohair, Hind ZantoutAmyotrophic Lateral SclerosisExplainability

  40. Beyond Post-hoc Explanation: Toward Glassbox AI via Probabilistic Mediation

    Jun 5, 2026Manuele LeonelliExplainabilityExplanations

  41. Beyond Soft Masks: Hard-Perturbation Mixup Explainer for Robust GNN Explainability

    Jun 4, 2026Jialiang Yin, Zheng Zhao, Linsey Pang +3Graph Neural NetworksExplainability

  42. GridVQA-X: A Framework for Evaluating Multimodal Explainability Methods

    Jun 2, 2026Sujay Belsare, Sudarshan Nikhil, Sushant Kumar +2ExplainabilityTextvqa

  43. An LLM-Explainable DRL Framework for Passenger-Directed Autonomous Driving

    Jun 2, 2026Ouided Braoui, Meriem Bouali, Nadir FarhiAutonomous DrivingSafe Reinforcement Learning

  44. Disagreeing Rationales: Rethinking Classification and Explainability Evaluation in Hate Speech Detection

    May 29, 2026Benedetta Muscato, Beiduo Chen, Gizem Gezici +2Hate Speech DetectionRationales

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

    May 29, 2026Olivier Kanamugire, Kerol DjoumessiMalariaExplainability

  46. Performance and Explainability Requirements of Evolutionary Algorithms in Real-World Physics-Informed Optimization

    May 27, 2026Helena Stegherr, Michael Heider, Nils Meyer +7Evolutionary AlgorithmsExplainability

  47. Evaluating Local Explainability Metrics for Machine Learning Models on Tabular Data

    May 26, 2026Tomás Pereira, João Vitorino, Eva Maia +1ExplainabilityConcept-Based Explainability

  48. Hoeffding Concept Bottleneck Models with Applications to Overhead Images

    May 22, 2026Clément Bénard, Manon Arfib, Christophe Labreuche +1Class-Incremental Concept Bottleneck ModelConcept Bottleneck Models

  49. Stabilising Explainability Fragility in Cybersecurity AI: The Impact and Mitigation of Multicollinearity in Public Benchmark Datasets

    May 21, 2026Ioannis J. Vourganas, Anna Lito MichalaExplainabilityIntrusion Detection

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

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

  51. B-cos GNNs: Faithful Explanations through Dynamic Linearity

    May 19, 2026Joschka Groß, Mohammad Shaique Solanki, Verena WolfGraph Neural NetworksExplainability

  52. AIMing for Standardised Explainability Evaluation in GNNs: A Framework and Case Study on Graph Kernel Networks

    May 14, 2026Magdalena Proszewska, N. SiddharthExplainabilityGraph Neural Networks

  53. Woodelf++: A Fast and Unified Partial Dependence Plot Algorithm for Decision Tree Ensembles

    May 14, 2026Ron Wettenstein, Alexander Nadel, Udi BokerFeature ImportanceExplainability

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

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

  55. BoolXLLM: LLM-Assisted Explainability for Boolean Models

    May 12, 2026Du Cheng, Serdar Kadioglu, Xin WangExplainabilityInterpretable Machine Learning

  56. Explainability of Recurrent Neural Networks for Enhancing P300-based Brain-Computer Interfaces

    May 11, 2026Christian Oliva, Vinicio Changoluisa, Francisco B Rodríguez +1Brain-Computer InterfaceElectroencephalogram

  57. From Model to Data (M2D): Shifting Complexity from GNNs to Graphs for Transparent Graph Learning

    May 7, 2026Debolina Halder Lina, Arlei SilvaExplainabilityGraph Neural Networks

  58. Spectral Model eXplainer: a chemically-grounded explainability framework for spectral-based machine learning models

    May 4, 2026Jose Vinicius Ribeiro, Rafael Figueira Goncalves, Fabio Luiz Melquiades +1XaiSpectra

  59. How Can One Choose the Best CAM-Based Explainability Method for a CNN Model?

    May 3, 2026Daniel da Silva Costa, Pedro Nuno de Souza Moura, Adriana C. F. AlvimExplainabilitySaliency

  60. Ceci n'est pas une explication: Evaluating Explanation Failures as Explainability Pitfalls in Language Learning Systems

    Apr 28, 2026Ben Knight, Wm. Matthew Kennedy, Danielle Carvalho +2ExplanationsExplainability