| 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 | 37 | 2020 |
| Robust Explainer Recommendation for Time Series Classification TT Nguyen, TL Nguyen, G Ifrim Data Mining and Knowledge Discovery, 2024 | 6* | 2024 |
| 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 | 6 | 2021 |
| 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 | 4 | 2023 |
| Explaining fatigue in runners using time series analysis on wearable sensor data B Kathirgamanathan, TT Nguyen, B Caulfield, G Ifrim, P Cunningham Joint European Conference on Machine Learning and Knowledge Discovery in …, 2023 | 1 | 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 |
Georgiana IfrimAssociate Professor, University College Dublin, Insight Centre for Data Analytics & ML-Labsucd.ie의 이메일 확인됨