# Authors Title Details Date Pdf/Links/Bibtex Keywords
10 Nakanishi T. Longo L.Approximate-Inverse Explainability of beta–VAE Latents for Multichannel EEG Participant-generalised Topographical Representation Learning IEEE Access 2025 Electroencephalography • Brain modeling • Spatial coherence • Scalp • Perturbation methods • Computational modeling • Explainable AI • Deep learning • Electroencephalography • VAE • topographic mapping • approximate inverse model explanations • generative deep learning • representation learning
10.1109/ACCESS.2025.3635543
9Longo L., Berretta S., Verda D., Rizzo L.Computational argumentation and automatic rule-generation for explainable data-driven modeling IEEE Access 2025 Rule-base systems • Explainable Artificial Intelligence • Logic Learning Machine • Non-monotonic reasoning • Defeasible Reasoning • Explainability • Computational argumentation • Argumentation semantics • Explainability
10.1109/ACCESS.2025.3618992
8Raufi B., Longo L.Comparing ANOVA and PowerShap Feature Selection Methods via Shapley Additive Explanations of Models of Mental Workload Built with the Theta and Alpha EEG Band Ratios BioMedInformatics 2024 model explainability • mental workload • statistical feature selection • Shapley-based feature selection • alpha and theta EEG band ratios • machine learning • Deep-learning
10.3390/biomedinformatics4010048
7Vilone G., Longo L.Development of a Human-Centred Psychometric Test for the Evaluation of Explanations Produced by XAI Methods eXplainable Artificial Intelligence, The World Conference (xAI-2023) 2023 Explainable Artificial Intelligence • Human-centred evaluation • Psychometrics • Machine Learning • Deep Learning • Explainability
10.1007/978-3-031-44070-0_11
6Vilone G. Longo L.A global model-agnostic XAI method for the automatic formation of an abstract argumentation framework and its objective evaluation. 1st Int. Workshop on Argumentation for eXplainable AI (with 9th Int. Conference on Computational Models of Argument, COMMA 2022) 2022 Explainable artificial intelligence • Argumentation • Non-monotonic reasoning • Method evaluation • Metrics of explainability
5Vilone G., Longo L.A Novel Human-Centred Evaluation Approach and an Argument-Based Method for Explainable Artificial Intelligence. Artificial Intelligence Applications and Innovations - 18th IFIP WG 12.5 International Conference 2022 Explainable Artificial Intelligence • Argumentation • Human-centred evaluation • Non-monotonic reasoning • Explainability
10.1007/978-3-031-08333-4_36
4Vilone G., Longo L.A Quantitative Evaluation of Global, Rule-Based Explanations of Post-Hoc, Model Agnostic Methods Frontiers in Artificial Intelligence 2021 explainable artificial intelligence • rule extraction • method comparison and evaluation • metrics of explainability • method automatic ranking • artificial intelligence • explainability
10.3389/frai.2021.717899
3Vilone G, Longo L.Notions of explainability and evaluation approaches for explainable artificial intelligence Information fusion 2021 Explainable artificial intelligence • Notions of explainability • Evaluation methods
10.1016/j.inffus.2021.05.009
2Longo L., Goebel R., Lecue F., Kieseberg P., Holzinger A.Explainable Artificial Intelligence: Concepts, Applications, Research Challenges and Visions Machine Learning and Knowledge Extraction. Int. Cross-Domain Conference for Machine Learning and Knowledge Extraction 2020 Explainable artificial intelligence • Machine learning • Explainability
10.1007/978-3-030-57321-8_1
1Rizzo L., Longo L.A Qualitative Investigation of the Explainability of Defeasible Argumentation and Non-Monotonic Fuzzy Reasoning 26th AIAI Irish Conference on Artificial Intelligence and Cognitive Science 2018 Defeasible Argumentation • Non-monotonic Reasoning • Fuzzy Reasoning • Argumentation Theory • Explainable Artificial Intelligence • Artificial Intelligence • Modeling
# Authors Title Details Date Pdf/Links/Bibtex Keywords