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Explainable Artificial Intelligence (XAI)

Explainable Artificial Intelligence

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TitleStatusHype
Explainable Multi-Label Classification of MBTI Types—0
Towards trustable SHAP scores—0
Mapping the Potential of Explainable AI for Fairness Along the AI Lifecycle—0
On the Road to Clarity: Exploring Explainable AI for World Models in a Driver Assistance System—0
T-Explainer: A Model-Agnostic Explainability Framework Based on Gradients—0
Explaining AI Decisions: Towards Achieving Human-Centered Explainability in Smart Home Environments—0
How should AI decisions be explained? Requirements for Explanations from the Perspective of European Law—0
Towards Robust Ferrous Scrap Material Classification with Deep Learning and Conformal Prediction—0
Concept Induction using LLMs: a user experiment for assessment—0
Explainable Lung Disease Classification from Chest X-Ray Images Utilizing Deep Learning and XAI—0
Reactive Model Correction: Mitigating Harm to Task-Relevant Features via Conditional Bias Suppression—0
MCPNet: An Interpretable Classifier via Multi-Level Concept PrototypesCode1
Beyond One-Size-Fits-All: Adapting Counterfactual Explanations to User Objectives—0
Unraveling the Dilemma of AI Errors: Exploring the Effectiveness of Human and Machine Explanations for Large Language Models—0
Concept-Attention Whitening for Interpretable Skin Lesion Diagnosis—0
Enhancing Breast Cancer Diagnosis in Mammography: Evaluation and Integration of Convolutional Neural Networks and Explainable AI—0
Interpreting End-to-End Deep Learning Models for Speech Source Localization Using Layer-wise Relevance PropagationCode0
Automatic Extraction of Linguistic Description from Fuzzy Rule BaseCode1
X-SHIELD: Regularization for eXplainable Artificial Intelligence—0
Energy-based Model for Accurate Shapley Value Estimation in Interpretable Deep Learning Predictive ModelingCode0
Explainable AI Integrated Feature Engineering for Wildfire Prediction—0
Explainable Deep Learning: A Visual Analytics Approach with Transition MatricesCode0
Leveraging Counterfactual Paths for Contrastive Explanations of POMDP Policies—0
Leveraging Expert Input for Robust and Explainable AI-Assisted Lung Cancer Detection in Chest X-rays—0
Clinical Domain Knowledge-Derived Template Improves Post Hoc AI Explanations in Pneumothorax ClassificationCode0
Intrinsic Subgraph Generation for Interpretable Graph based Visual Question AnsweringCode0
Enhancing UAV Security Through Zero Trust Architecture: An Advanced Deep Learning and Explainable AI Analysis—0
The Anatomy of Adversarial Attacks: Concept-based XAI Dissection—0
Revealing Vulnerabilities of Neural Networks in Parameter Learning and Defense Against Explanation-Aware Backdoors—0
The Limits of Perception: Analyzing Inconsistencies in Saliency Maps in XAI—0
How Human-Centered Explainable AI Interface Are Designed and Evaluated: A Systematic Survey—0
A survey on Concept-based Approaches For Model Improvement—0
Deciphering AutoML Ensembles: cattleia's Assistance in Decision-Making—0
Interpretable Machine Learning for Survival AnalysisCode0
Towards a general framework for improving the performance of classifiers using XAI methods—0
Explainability through uncertainty: Trustworthy decision-making with neural networks—0
Explainable Machine Learning-Based Security and Privacy Protection Framework for Internet of Medical Things Systems—0
XCoOp: Explainable Prompt Learning for Computer-Aided Diagnosis via Concept-guided Context Optimization—0
People Attribute Purpose to Autonomous Vehicles When Explaining Their Behavior: Insights from Cognitive Science for Explainable AICode0
Explainable Learning with Gaussian ProcessesCode0
Improving deep learning with prior knowledge and cognitive models: A survey on enhancing explainability, adversarial robustness and zero-shot learning—0
An Explainable AI Framework for Artificial Intelligence of Medical Things—0
Explainable AI for Embedded Systems Design: A Case Study of Static Redundant NVM Memory Write Prediction—0
An Ensemble Framework for Explainable Geospatial Machine Learning ModelsCode1
XAI-Based Detection of Adversarial Attacks on Deepfake DetectorsCode0
Introducing User Feedback-based Counterfactual Explanations (UFCE)Code0
Position: Explain to Question not to Justify—0
LangXAI: Integrating Large Vision Models for Generating Textual Explanations to Enhance Explainability in Visual Perception TasksCode1
Multi-Excitation Projective Simulation with a Many-Body Physics Inspired Inductive BiasCode0
Implementing local-explainability in Gradient Boosting Trees: Feature Contribution—0
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