| A Model-Agnostic Approach to Quantifying the Informativeness of Explanation Methods for Time Series Classification TT Nguyen, T Le Nguyen, G Ifrim Workshop on Advanced Analytics and Learning on Temporal Data, ECML 2020, 2020 | 32 | 2020 |
| Ranking by Aggregating Referees: Evaluating the Informativeness of Explanation Methods for Time Series Classification S Agarwal, TT Nguyen, T Le Nguyen, G Ifrim Springer, 2021 | 5 | 2021 |
| Amee: a robust framework for explanation evaluation in time series classification TT Nguyen, TL Nguyen, G Ifrim arXiv preprint arXiv:2306.05501, 2023 | 3 | 2023 |
| Evaluating Explanation Methods for Multivariate Time Series Classification DI Serramazza, TT Nguyen, T Le Nguyen, G Ifrim International Workshop on Advanced Analytics and Learning on Temporal Data …, 2023 | | 2023 |
| Generating Explanations to understand Fatigue in Runners Using Time Series Data from Wearable Sensors B Kathirgamanathan, P Cunningham ICML 3rd Workshop on Interpretable Machine Learning in Healthcare (IMLH), 2023 | | 2023 |
| Explaining Fatigue in Runners using Time Series Analysis on Wearable Sensor Data B Kathirgamanathan, TT Nguyen, B Caulfield, G Ifrim, P Cunningham | | |
Georgiana IfrimAssociate Professor, University College Dublin, Insight Centre for Data Analytics & ML-LabsEmail verificata su ucd.ie
