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Explainable Artificial Intelligence (XAI)

Explainable Artificial Intelligence

Papers

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Showing 851–900 of 1041 papers

TitleStatusHype
ECQ^x: Explainability-Driven Quantization for Low-Bit and Sparse DNNsCode0
Explainability in Music Recommender SystemsCode0
Do Protein Transformers Have Biological Intelligence?Code0
Explainable AI for Comparative Analysis of Intrusion Detection ModelsCode0
Does Dataset Complexity Matters for Model Explainers?Code0
GCI: A (G)raph (C)oncept (I)nterpretation FrameworkCode0
Local Concept Embeddings for Analysis of Concept Distributions in Vision DNN Feature SpacesCode0
GECOBench: A Gender-Controlled Text Dataset and Benchmark for Quantifying Biases in ExplanationsCode0
Characterizing the contribution of dependent features in XAI methodsCode0
An Experimental Investigation into the Evaluation of Explainability MethodsCode0
Benchmarking Instance-Centric Counterfactual Algorithms for XAI: From White Box to Black BoxCode0
Generating User-Centred Explanations via Illocutionary Question Answering: From Philosophy to InterfacesCode0
T5 for Hate Speech, Augmented Data and EnsembleCode0
Rational Shapley ValuesCode0
Tackling the Accuracy-Interpretability Trade-off in a Hierarchy of Machine Learning Models for the Prediction of Extreme HeatwavesCode0
Explanations Based on Item Response Theory (eXirt): A Model-Specific Method to Explain Tree-Ensemble Model in Trust PerspectiveCode0
Challenging common interpretability assumptions in feature attribution explanationsCode0
Counterfactual Explanations for Misclassified Images: How Human and Machine Explanations DifferCode0
Meta-evaluating stability measures: MAX-Senstivity & AVG-SensitivityCode0
ExClaim: Explainable Neural Claim Verification Using RationalizationCode0
An Empirical Comparison of Explainable Artificial Intelligence Methods for Clinical Data: A Case Study on Traumatic Brain InjuryCode0
Unified Explanations in Machine Learning Models: A Perturbation ApproachCode0
Counterfactual Explanations as Interventions in Latent SpaceCode0
Greybox XAI: a Neural-Symbolic learning framework to produce interpretable predictions for image classificationCode0
Misleading the Covid-19 vaccination discourse on Twitter: An exploratory study of infodemic around the pandemicCode0
Relevant Irrelevance: Generating Alterfactual Explanations for Image ClassifiersCode0
Doctor XAvIer: Explainable Diagnosis on Physician-Patient Dialogues and XAI EvaluationCode0
Diverse Explanations From Data-Driven and Domain-Driven Perspectives in the Physical SciencesCode0
Mitigating belief projection in explainable artificial intelligence via Bayesian TeachingCode0
Explaining and visualizing black-box models through counterfactual pathsCode0
PCNN: Probable-Class Nearest-Neighbor Explanations Improve Fine-Grained Image Classification Accuracy for AIs and HumansCode0
Harnessing Large Language Models Over Transformer Models for Detecting Bengali Depressive Social Media Text: A Comprehensive StudyCode0
Contrastive Explanations with Local Foil TreesCode0
Towards Best Practice in Explaining Neural Network Decisions with LRPCode0
Graph Neural Networks for the Offline Nanosatellite Task Scheduling ProblemCode0
Heart2Mind: Human-Centered Contestable Psychiatric Disorder Diagnosis System using Wearable ECG MonitorsCode0
An explainable three dimension framework to uncover learning patterns: A unified look in variable sulci recognitionCode0
XAI-N: Sensor-based Robot Navigation using Expert Policies and Decision TreesCode0
Contextual Importance and Utility: aTheoretical FoundationCode0
Multi-Excitation Projective Simulation with a Many-Body Physics Inspired Inductive BiasCode0
An Annotated Corpus of Textual Explanations for Clinical Decision SupportCode0
Explainable Artificial Intelligence and Multicollinearity : A Mini Review of Current ApproachesCode0
Multi-modal volumetric concept activation to explain detection and classification of metastatic prostate cancer on PSMA-PET/CTCode0
Unveiling Molecular Moieties through Hierarchical Grad-CAM Graph ExplainabilityCode0
Explainable Artificial Intelligence for Dependent Features: Additive Effects of CollinearityCode0
Multi-SpaCE: Multi-Objective Subsequence-based Sparse Counterfactual Explanations for Multivariate Time Series ClassificationCode0
Discrete Subgraph Sampling for Interpretable Graph based Visual Question AnsweringCode0
Revealing drivers and risks for power grid frequency stability with explainable AICode0
Explainable Artificial Intelligence for Bayesian Neural Networks: Towards trustworthy predictions of ocean dynamicsCode0
Explainable Artificial Intelligence for Improved Modeling of ProcessesCode0
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