Riccardo Guidotti

Explainable Artificial Intelligence (XAI): What we know and what is left to attain Trustworthy Artificial Intelligence

2023 · 1.346 Zit. · Information Fusion

Explainable Artificial Intelligence (XAI) 2.0: A manifesto of open challenges and interdisciplinary research directions

2024 · 414 Zit. · Information Fusion

Principles of Explainable Artificial Intelligence

2021 · 35 Zit.

Advancing Dermatological Diagnostics: Interpretable AI for Enhanced Skin Lesion Classification

2024 · 20 Zit. · Diagnostics

Improving trust and confidence in medical skin lesion diagnosis through explainable deep learning

2023 · 17 Zit. · International Journal of Data Science and Analytics

Explainable Artificial Intelligence (XAI) 2.0: A Manifesto of Open Challenges and Interdisciplinary Research Directions

2023 · 14 Zit. · arXiv (Cornell University)

Exemplars and Counterexemplars Explanations for Image Classifiers, Targeting Skin Lesion Labeling

2021 · 12 Zit. · 2021 IEEE Symposium on Computers and Communications (ISCC)

Explaining Black-Boxes in Federated Learning

2023 · 12 Zit. · Communications in computer and information science

Explainable Deep Image Classifiers for Skin Lesion Diagnosis

2021 · 2 Zit. · arXiv (Cornell University)

Handling Missing Values in Local Post-hoc Explainability

2023 · 1 Zit. · Communications in computer and information science

Realistic Counterfactual Explanations for Clinical AI-decision Aid on Computed Tomography for Adaptive Radiotherapy

2025 · 0 Zit. · ScholarSpace (University of Hawaii at Manoa)