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Explainable Artificial Intelligence (XAI)

Explainable Artificial Intelligence

Papers

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Showing 51–100 of 1041 papers

TitleStatusHype
Towards ML Methods for Biodiversity: A Novel Wild Bee Dataset and Evaluations of XAI Methods for ML-Assisted Rare Species AnnotationsCode1
An XAI framework for robust and transparent data-driven wind turbine power curve modelsCode1
Towards Trust of Explainable AI in Thyroid Nodule DiagnosisCode1
Trainable Noise Model as an XAI evaluation method: application on Sobol for remote sensing image segmentationCode1
Evaluating Explainable AI on a Multi-Modal Medical Imaging Task: Can Existing Algorithms Fulfill Clinical Requirements?Code1
An Ensemble Framework for Explainable Geospatial Machine Learning ModelsCode1
A Fresh Look at Sanity Checks for Saliency MapsCode1
Evaluation of Interpretability for Deep Learning algorithms in EEG Emotion Recognition: A case study in AutismCode1
From Attribution Maps to Human-Understandable Explanations through Concept Relevance PropagationCode1
Why Should I Choose You? AutoXAI: A Framework for Selecting and Tuning eXplainable AI SolutionsCode1
XAI for Transformers: Better Explanations through Conservative PropagationCode1
XAutoML: A Visual Analytics Tool for Understanding and Validating Automated Machine LearningCode1
IoTGeM: Generalizable Models for Behaviour-Based IoT Attack DetectionCode1
Extending CAM-based XAI methods for Remote Sensing Imagery SegmentationCode1
BALANCE: Bayesian Linear Attribution for Root Cause LocalizationCode1
Explaining Predictive Uncertainty with Information Theoretic Shapley ValuesCode1
Extracting human interpretable structure-property relationships in chemistry using XAI and large language modelsCode1
Explaining Quantum Circuits with Shapley Values: Towards Explainable Quantum Machine LearningCode1
BASED-XAI: Breaking Ablation Studies Down for Explainable Artificial IntelligenceCode1
BayLIME: Bayesian Local Interpretable Model-Agnostic ExplanationsCode1
Automatic Extraction of Linguistic Description from Fuzzy Rule BaseCode1
Explaining black boxes with a SMILE: Statistical Model-agnostic Interpretability with Local ExplanationsCode1
Calibrated Explanations for RegressionCode1
FunnyBirds: A Synthetic Vision Dataset for a Part-Based Analysis of Explainable AI MethodsCode1
A Wearable Device Dataset for Mental Health Assessment Using Laser Doppler Flowmetry and Fluorescence Spectroscopy SensorsCode1
Causality-Aware Local Interpretable Model-Agnostic ExplanationsCode1
How Much Can I Trust You? -- Quantifying Uncertainties in Explaining Neural NetworksCode1
Insights Into the Inner Workings of Transformer Models for Protein Function PredictionCode1
Collective eXplainable AI: Explaining Cooperative Strategies and Agent Contribution in Multiagent Reinforcement Learning with Shapley ValuesCode1
ContrXT: Generating Contrastive Explanations from any Text ClassifierCode1
In-Context Explainers: Harnessing LLMs for Explaining Black Box ModelsCode1
Learning Support and Trivial Prototypes for Interpretable Image ClassificationCode1
MEG: Generating Molecular Counterfactual Explanations for Deep Graph NetworksCode1
Collision Probability Distribution Estimation via Temporal Difference LearningCode1
Mixture of Gaussian-distributed Prototypes with Generative Modelling for Interpretable and Trustworthy Image RecognitionCode1
Confident Teacher, Confident Student? A Novel User Study Design for Investigating the Didactic Potential of Explanations and their Impact on UncertaintyCode1
Explainable Deep Learning Methods in Medical Image Classification: A SurveyCode1
From Black Boxes to Conversations: Incorporating XAI in a Conversational AgentCode1
Forecasting Bitcoin volatility spikes from whale transactions and CryptoQuant data using Synthesizer Transformer modelsCode1
OpenXAI: Towards a Transparent Evaluation of Model ExplanationsCode1
Landscape of R packages for eXplainable Artificial IntelligenceCode1
Deep-BIAS: Detecting Structural Bias using Explainable AICode1
Sanity Checks Revisited: An Exploration to Repair the Model Parameter Randomisation TestCode1
Quantitative Evaluation of Explainable Graph Neural Networks for Molecular Property PredictionCode1
Embedded Encoder-Decoder in Convolutional Networks Towards Explainable AICode1
Explainable AI for Bioinformatics: Methods, Tools, and ApplicationsCode1
Explainability in Practice: Estimating Electrification Rates from Mobile Phone Data in SenegalCode0
Explainability in Music Recommender SystemsCode0
Explainability of Predictive Process Monitoring Results: Can You See My Data Issues?Code0
An Experimental Investigation into the Evaluation of Explainability MethodsCode0
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