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Explainable Artificial Intelligence (XAI)

Explainable Artificial Intelligence

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Showing 51–100 of 1041 papers

TitleStatusHype
Multi-dimensional concept discovery (MCD): A unifying framework with completeness guaranteesCode1
Explaining Quantum Circuits with Shapley Values: Towards Explainable Quantum Machine LearningCode1
Trends in Explainable AI (XAI) LiteratureCode1
Learning Support and Trivial Prototypes for Interpretable Image ClassificationCode1
Explainable AI for Bioinformatics: Methods, Tools, and ApplicationsCode1
Causality-Aware Local Interpretable Model-Agnostic ExplanationsCode1
ViT-CX: Causal Explanation of Vision TransformersCode1
XAI for transparent wind turbine power curve modelsCode1
Forecasting Bitcoin volatility spikes from whale transactions and CryptoQuant data using Synthesizer Transformer modelsCode1
Why Should I Choose You? AutoXAI: A Framework for Selecting and Tuning eXplainable AI SolutionsCode1
From Black Boxes to Conversations: Incorporating XAI in a Conversational AgentCode1
ProtoPFormer: Concentrating on Prototypical Parts in Vision Transformers for Interpretable Image RecognitionCode1
Explainable AI Algorithms for Vibration Data-based Fault Detection: Use Case-adadpted Methods and Critical EvaluationCode1
BASED-XAI: Breaking Ablation Studies Down for Explainable Artificial IntelligenceCode1
OpenXAI: Towards a Transparent Evaluation of Model ExplanationsCode1
Towards ML Methods for Biodiversity: A Novel Wild Bee Dataset and Evaluations of XAI Methods for ML-Assisted Rare Species AnnotationsCode1
Do We Need Another Explainable AI Method? Toward Unifying Post-hoc XAI Evaluation Methods into an Interactive and Multi-dimensional BenchmarkCode1
From Attribution Maps to Human-Understandable Explanations through Concept Relevance PropagationCode1
Deletion and Insertion Tests in Regression ModelsCode1
Explainable Deep Learning Methods in Medical Image Classification: A SurveyCode1
Evaluating Explainable AI on a Multi-Modal Medical Imaging Task: Can Existing Algorithms Fulfill Clinical Requirements?Code1
XAutoML: A Visual Analytics Tool for Understanding and Validating Automated Machine LearningCode1
Guidelines and Evaluation of Clinical Explainable AI in Medical Image AnalysisCode1
XAI for Transformers: Better Explanations through Conservative PropagationCode1
Toward Explainable AI for Regression ModelsCode1
ContrXT: Generating Contrastive Explanations from any Text ClassifierCode1
Evaluation of Interpretability for Deep Learning algorithms in EEG Emotion Recognition: A case study in AutismCode1
Collective eXplainable AI: Explaining Cooperative Strategies and Agent Contribution in Multiagent Reinforcement Learning with Shapley ValuesCode1
Focus! Rating XAI Methods and Finding BiasesCode1
Quantitative Evaluation of Explainable Graph Neural Networks for Molecular Property PredictionCode1
Software for Dataset-wide XAI: From Local Explanations to Global Insights with Zennit, CoRelAy, and ViRelAyCode1
Synthetic Benchmarks for Scientific Research in Explainable Machine LearningCode1
To trust or not to trust an explanation: using LEAF to evaluate local linear XAI methodsCode1
MEG: Generating Molecular Counterfactual Explanations for Deep Graph NetworksCode1
Neural Network Attribution Methods for Problems in Geoscience: A Novel Synthetic Benchmark DatasetCode1
BayLIME: Bayesian Local Interpretable Model-Agnostic ExplanationsCode1
Landscape of R packages for eXplainable Artificial IntelligenceCode1
On Generating Plausible Counterfactual and Semi-Factual Explanations for Deep LearningCode1
Gaining Insight into SARS-CoV-2 Infection and COVID-19 Severity Using Self-supervised Edge Features and Graph Neural NetworksCode1
Embedded Encoder-Decoder in Convolutional Networks Towards Explainable AICode1
How Much Can I Trust You? -- Quantifying Uncertainties in Explaining Neural NetworksCode1
Ground Truth Evaluation of Neural Network Explanations with CLEVR-XAICode1
xCos: An Explainable Cosine Metric for Face Verification TaskCode1
Proposed Guidelines for the Responsible Use of Explainable Machine LearningCode1
AudioMNIST: Exploring Explainable Artificial Intelligence for Audio Analysis on a Simple BenchmarkCode1
RISE: Randomized Input Sampling for Explanation of Black-box ModelsCode1
Explainable Artificial Intelligence in Biomedical Image Analysis: A Comprehensive Survey—0
Can "consciousness" be observed from large language model (LLM) internal states? Dissecting LLM representations obtained from Theory of Mind test with Integrated Information Theory and Span Representation analysis—0
Towards Transparent AI: A Survey on Explainable Large Language Models—0
Communicating Smartly in the Molecular Domain: Neural Networks in the Internet of Bio-Nano ThingsCode0
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