# Authors Title Details Date Pdf/Links/Bibtex Keywords
6Ephrem Tibebe Mekonnen; Longo L., Dondio P.LOMATCE: LOcal Model-Agnostic Time-series Classification Explanations IEEE Access 2025 Time series analysis Adaptation models Explainable AI Predictive models Data models Closed box Perturbation methods Computational modeling Deep learning Kernel Explainable Artificial Intelligence Model-agnostic Time series Post hoc Deep learning XAI
10.1109/ACCESS.2025.3625442
5Kopanja M., Savic M., Longo LEnhancing Cost-Sensitive Tree-Based XAI Surrogate Method: Exploring Alternative Cost Matrix Formulation Joint Proceedings of the xAI 2025 Late-breaking Work, Demos and Doctoral Consortium co-located with the 3rd World Conference on eXplainable Artificial Intelligence (xAI 2025) 2025 Explainable artificial intelligence Cost-sensitive decision tree Surrogate modeling Rule extraction Tree-based methods Model-agnostic explanations Rule-based systems Interpretability Machine Learning.
4Mekonnen E. T., Longo L., Dondio P. Interpreting Black-Box Time Series Classifiers using Parameterised Event Primitives Joint Proceedings of the xAI 2024 Late-breaking Work, Demos and Doctoral Consortium co-located with the 2nd World Conference on eXplainable Artificial Intelligence (xAI 2024) 2024 Explainable Artificial Intelligence Model-Agnostic Time Series Post-hoc Deep Learning Machine Learning Event primitives Time-series
3Mekonnen E.T., Longo L., Dondio P.A global model-agnostic rule-based XAI method based on Parameterized Event Primitives for time series classifiers Frontiers Artificial Intelligence 2024 Deep learning Explainable Artificial Intelligence time series classification decision tree model agnostic post-hoc Machine Learning
10.3389/frai.2024.1381921
2Vilone 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
1Vilone G., Rizzo L., Longo L.A comparative analysis of rule-based, model-agnostic methods for explainable artificial intelligence Proceedings for the 28th AIAI Irish Conference on Artificial Intelligence and Cognitive Science, Dublin, Ireland, December 7-8, 2020 2020 Explainable artificial intelligence Rule extraction Method comparison evaluation
# Authors Title Details Date Pdf/Links/Bibtex Keywords