| # | Authors | Title | Details | Date | Pdf/Links/Bibtex | Keywords |
|---|---|---|---|---|---|---|
| 2 | 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 |
| 1 | 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 |
| # | Authors | Title | Details | Date | Pdf/Links/Bibtex | Keywords |