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Explainable Artificial Intelligence (XAI)

Explainable Artificial Intelligence

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Showing 76–100 of 1041 papers

TitleStatusHype
Extending XReason: Formal Explanations for Adversarial Detection—0
Enhancing Cancer Diagnosis with Explainable & Trustworthy Deep Learning Models—0
The Role of XAI in Transforming Aeronautics and Aerospace Systems—0
ViTmiX: Vision Transformer Explainability Augmented by Mixed Visualization Methods—0
AgroXAI: Explainable AI-Driven Crop Recommendation System for Agriculture 4.0—0
Multi-SpaCE: Multi-Objective Subsequence-based Sparse Counterfactual Explanations for Multivariate Time Series ClassificationCode0
Meta-evaluating stability measures: MAX-Senstivity & AVG-SensitivityCode0
Discrete Subgraph Sampling for Interpretable Graph based Visual Question AnsweringCode0
FaceX: Understanding Face Attribute Classifiers through Summary Model ExplanationsCode0
From Flexibility to Manipulation: The Slippery Slope of XAI EvaluationCode0
Neural network interpretability with layer-wise relevance propagation: novel techniques for neuron selection and visualization—0
A Unified Framework for Evaluating the Effectiveness and Enhancing the Transparency of Explainable AI Methods in Real-World Applications—0
OMENN: One Matrix to Explain Neural Networks—0
A Comprehensive Guide to Explainable AI: From Classical Models to LLMsCode2
Forma mentis networks predict creativity ratings of short texts via interpretable artificial intelligence in human and GPT-simulated raters—0
Explaining the Impact of Training on Vision Models via Activation Clustering—0
XAI and Android Malware Models—0
Guarding the Gate: ConceptGuard Battles Concept-Level Backdoors in Concept Bottleneck Models—0
Interpreting Object-level Foundation Models via Visual Precision SearchCode2
Leveraging Gene Expression Data and Explainable Machine Learning for Enhanced Early Detection of Type 2 Diabetes—0
Explainable Artificial Intelligence for Medical Applications: A Review—0
BayesNAM: Leveraging Inconsistency for Reliable Explanations—0
Interplay between Federated Learning and Explainable Artificial Intelligence: a Scoping Review—0
Visually Analyze SHAP Plots to Diagnose Misclassifications in ML-based Intrusion Detection—0
Privacy-Preserving Federated Learning with Differentially Private Hyperdimensional Computing—0
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