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Explainable Artificial Intelligence (XAI)

Explainable Artificial Intelligence

Papers

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Showing 951–1000 of 1041 papers

TitleStatusHype
XC: Exploring Quantitative Use Cases for Explanations in 3D Object DetectionCode0
"Even if ..." -- Diverse Semifactual Explanations of RejectCode0
Interpretable ML for Imbalanced DataCode0
An Interpretable Deep Learning Approach for Skin Cancer CategorizationCode0
Interpretable Summaries of Black Box Incident Triaging with Subgroup DiscoveryCode0
Developing a Fidelity Evaluation Approach for Interpretable Machine LearningCode0
explAIner: A Visual Analytics Framework for Interactive and Explainable Machine LearningCode0
Interpreting End-to-End Deep Learning Models for Speech Source Localization Using Layer-wise Relevance PropagationCode0
Detecting mental disorder on social media: a ChatGPT-augmented explainable approachCode0
VALE: A Multimodal Visual and Language Explanation Framework for Image Classifiers using eXplainable AI and Language ModelsCode0
Explaining AI in Finance: Past, Present, ProspectsCode0
Intrinsic Subgraph Generation for Interpretable Graph based Visual Question AnsweringCode0
Visual explanation of black-box model: Similarity Difference and Uniqueness (SIDU) methodCode0
TrustyAI Explainability ToolkitCode0
Introducing User Feedback-based Counterfactual Explanations (UFCE)Code0
Evaluating saliency methods on artificial data with different background typesCode0
XAI-Based Detection of Adversarial Attacks on Deepfake DetectorsCode0
Investigating the fidelity of explainable artificial intelligence methods for applications of convolutional neural networks in geoscienceCode0
Explaining Deep Learning for ECG Analysis: Building Blocks for Auditing and Knowledge DiscoveryCode0
Invisible Users: Uncovering End-Users' Requirements for Explainable AI via Explanation Forms and GoalsCode0
Designing a Direct Feedback Loop between Humans and Convolutional Neural Networks through Local ExplanationsCode0
iPDP: On Partial Dependence Plots in Dynamic Modeling ScenariosCode0
Explaining Explanations: An Overview of Interpretability of Machine LearningCode0
TSEM: Temporally Weighted Spatiotemporal Explainable Neural Network for Multivariate Time SeriesCode0
Is Conversational XAI All You Need? Human-AI Decision Making With a Conversational XAI AssistantCode0
Explaining Interactions Between Text SpansCode0
Ensuring Medical AI Safety: Explainable AI-Driven Detection and Mitigation of Spurious Model Behavior and Associated DataCode0
Ensemble of Counterfactual ExplainersCode0
XAI in Computational Linguistics: Understanding Political Leanings in the Slovenian ParliamentCode0
People Attribute Purpose to Autonomous Vehicles When Explaining Their Behavior: Insights from Cognitive Science for Explainable AICode0
XAI in the context of Predictive Process Monitoring: Too much to RevealCode0
PIC-XAI: Post-hoc Image Captioning Explanation using SegmentationCode0
Keep Your Friends Close and Your Counterfactuals Closer: Improved Learning From Closest Rather Than Plausible Counterfactual Explanations in an Abstract SettingCode0
Shapelet-Based Counterfactual Explanations for Multivariate Time SeriesCode0
ExplainReduce: Summarising local explanations via proxiesCode0
Pittsburgh Learning Classifier Systems for Explainable Reinforcement Learning: Comparing with XCSCode0
PixleepFlow: A Pixel-Based Lifelog Framework for Predicting Sleep Quality and Stress LevelCode0
Delivering Inflated ExplanationsCode0
DeepSeer: Interactive RNN Explanation and Debugging via State AbstractionCode0
ShapG: new feature importance method based on the Shapley valueCode0
Explanation based Handwriting VerificationCode0
Explanation-by-Example Based on Item Response TheoryCode0
CLIMAX: An exploration of Classifier-Based Contrastive ExplanationsCode0
Learning Interpretable Models Through Multi-Objective Neural Architecture SearchCode0
Learning local discrete features in explainable-by-design convolutional neural networksCode0
Deep Learning for Precision Agriculture: Post-Spraying Evaluation and Deposition EstimationCode0
Learning Visual Explanations for DCNN-Based Image Classifiers Using an Attention MechanismCode0
Shapley-based Explainable AI for Clustering Applications in Fault Diagnosis and PrognosisCode0
Less is More: Discovering Concise Network ExplanationsCode0
Let's Go to the Alien Zoo: Introducing an Experimental Framework to Study Usability of Counterfactual Explanations for Machine LearningCode0
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