Replication package for the KNOSYS paper titled "An Objective Metric for Explainable AI: How and Why to Estimate the Degree of Explainability".
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Jan 10, 2024 - Python
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xai-evaluation
Here are 11 public repositories matching this topic...
Open and extensible benchmark for XAI methods
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May 7, 2025 - Python
Semantic Meaningfulness: Evaluating counterfactual approaches for real world plausibility
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Jul 24, 2023 - Python
Repository for ReVel framework to Measure Local-Linear Explanationsfor Black-Box Models
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Oct 9, 2024 - Python
ConsisXAI is an implementation of a technique to evaluate global machine learning explainability (XAI) methods based on feature subset consistency
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May 14, 2023 - Python
Code for evaluating saliency maps with classification metrics.
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Jun 19, 2024 - Python
Research on AutoML and Explainability．
machine-learning computer-vision deep-learning grad-cam image-classification automl neural-architecture-search xai pytroch xai-evaluation
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Jan 25, 2024 - Python
This repository is the code basis for the paper titled "Balancing Privacy and Explainability in Federated Learning"
machine-learning grad-cam federated-learning xai distributed-learning integrated-gradients xai-evaluation
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Jun 4, 2024 - Python
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Sep 1, 2021 - Python
Scripts and trained models from our paper: M. Ntrougkas, V. Mezaris, I. Patras, "P-TAME: Explain Any Image Classifier with Trained Perturbations", IEEE Open Journal of Signal Processing, 2025. DOI:10.1109/OJSP.2025.3568756.
deep-learning image-classification attention-mechanism explainable-ai xai model-interpretability xai-evaluation vision-transformer
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Jan 12, 2026 - Python
A framework for evaluating explainable AI (XAI) methods in drug discovery using multiple machine learning architectures. This repository implements three distinct model architectures (CNN, Random Forest, and RGCN) and provides a hierarchical four-tier evaluation framework for assessing the quality and reliability of their explanations.
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Nov 23, 2025 - Python
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