| # | Authors | Title | Details | Date | Pdf/Links/Bibtex | Keywords |
|---|---|---|---|---|---|---|
| 6 | Ephrem Tibebe Mekonnen; Longo L., Dondio P. | LOMATCE: LOcal Model-Agnostic Time-series Classification Explanations | IEEE Access | 2025 | @ARTICLE{MekonnenLongo2025, author={Mekonnen, Ephrem Tibebe and Longo, Luca and Dondio, Pierpaolo}, journal={IEEE Access}, title={LOMATCE: LOcal Model-Agnostic Time-series Classification Explanations}, year={2025}, volume={}, number={}, pages={1-1}, keywords={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}, doi={10.1109/ACCESS.2025.3625442}} [Close]
| 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 |
| 5 | Kopanja M., Savic M., Longo L | Enhancing 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 |
@inproceedings{, title={Enhancing Cost-Sensitive Tree-Based XAI Surrogate Method: Exploring Alternative Cost Matrix Formulation}, author={Kopanja, Marija and Savi?, Miloš and Longo, Luca}, year={2025}, booktitle = {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), Istanbul, Turkey, 9-11 July, 2025}, publisher = {CEUR-WS.org}, volume = {4017}, series = {{CEUR} Workshop Proceedings}, editor = {Przemys?aw Biecek, Slawomir Nowaczyk, Gitta Kutyniok, Luca Longo}, pages={129-136}, url={https://ceur-ws.org/Vol-4017/paper_17.pdf} } [Close]
| Explainable artificial intelligence • Cost-sensitive decision tree • Surrogate modeling • Rule extraction • Tree-based
methods • Model-agnostic explanations • Rule-based systems • Interpretability • Machine Learning. |
| 4 | Mekonnen 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 |
@inproceedings{Mekonnen2024, title={Interpreting Black-Box Time Series Classifiers using Parameterised Event Primitives}, author={Mekonnen, Ephrem. T., Longo, Luca, and Dondio, Pierpaolo}, year={2024}, booktitle = {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), Valletta, Malta, 17-19 July, 2024}, publisher = {CEUR-WS.org}, url = {https://ceur-ws.org/Vol-3793/paper_9.pdf}, volume = {3793}, series = {{CEUR} Workshop Proceedings}, editor = {Luca Longo, Weiru Liu, Grégoire Montavon} pages={65-72} } [Close]
| Explainable Artificial Intelligence • Model-Agnostic • Time Series • Post-hoc • Deep Learning • Machine Learning • Event primitives • Time-series |
| 3 | Mekonnen 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 |
@ARTICLE{10.3389/frai.2024.1381921, AUTHOR={Mekonnen, Ephrem T. and Dondio, Pierpaolo and Longo, Luca }, TITLE={A Global Model-Agnostic Rule-Based XAI Method based on Parameterised Event Primitives for Time Series Classifiers}, JOURNAL={Frontiers in Artificial Intelligence}, VOLUME={7}, YEAR={2024}, URL={https://www.frontiersin.org/journals/artificial-intelligence/articles/10.3389/frai.2024.1381921}, DOI={10.3389/frai.2024.1381921}, ISSN={2624-8212}, } [Close]
| Deep learning • Explainable Artificial Intelligence • time series classification • decision tree •
model agnostic • post-hoc • Machine Learning |
| 2 | Vilone 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 | @inproceedings{ViloneLongo2022XAIArg, author = {Giulia Vilone and Luca Longo}, title = {A global model-agnostic XAI method for the automatic formation of an abstract argumentation framework and its objective evaluation.}, booktitle = {1st International Workshop on Argumentation for eXplainable AI co-located with 9th International Conference on Computational Models of Argument (COMMA 2022)}, series = {{CEUR} Workshop Proceedings}, volume = {3209}, publisher = {CEUR-WS.org}, year = {2022}, url = {http://ceur-ws.org/Vol-3209/2119.pdf} } [Close]
| Explainable artificial intelligence • Argumentation • Non-monotonic reasoning • Method evaluation • Metrics
of explainability |
| 1 | Vilone 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 |
@inproceedings{DBLP:conf/aics/ViloneRL20, author = {Giulia Vilone and Lucas Rizzo and Luca Longo}, editor = {Luca Longo and Lucas Rizzo and Elizabeth Hunter and Arjun Pakrashi}, title = {A comparative analysis of rule-based, model-agnostic methods for explainable artificial intelligence}, booktitle = {Proceedings of The 28th Irish Conference on Artificial Intelligence and Cognitive Science, Dublin, Republic of Ireland, December 7-8, 2020}, series = {{CEUR} Workshop Proceedings}, volume = {2771}, pages = {85--96}, publisher = {CEUR-WS.org}, year = {2020}, url = {http://ceur-ws.org/Vol-2771/AICS2020\_paper\_33.pdf} } [Close]
| Explainable artificial intelligence • Rule extraction • Method • comparison • evaluation |
| # | Authors | Title | Details | Date | Pdf/Links/Bibtex | Keywords |