| XAI for time series classification: evaluating the benefits of model inspection for end-users B Håvardstun, C Ferri, K Flikka, JA Telle World Conference on Explainable Artificial Intelligence, 439-453, 2024 | 2 | 2024 |
| When redundancy matters: Machine teaching of representations C Ferri, D Garigliotti, BAT Håvardstun, J Hernández-Orallo, JA Telle arXiv preprint arXiv:2401.12711, 2024 | 2 | 2024 |
| On a Combinatorial Problem Arising in Machine Teaching J Sunde, B Håvardstun, J Kratochvíl, JA Telle Forty-first International Conference on Machine Learning, 2024 | 2* | 2024 |
| XAI with machine teaching when humans are (not) informed about the irrelevant features BAT Håvardstun, C Ferri, J Hernández-Orallo, P Parviainen, JA Telle Joint European Conference on Machine Learning and Knowledge Discovery in …, 2023 | 2 | 2023 |
| An Interactive Tool for Interpretability of Time Series Classification B Håvardstun, C Ferri, JA Telle Joint European Conference on Machine Learning and Knowledge Discovery in …, 2024 | 1 | 2024 |
| Machine Teaching for Explainable AI: Proof of Concept BAT Håvardstun The University of Bergen, 2022 | 1 | 2022 |
| Optimal Robust Simplifications for Explaining Time Series JA Telle, C Ferri, B Håvardstun | | 2024 |
| On the Trade-off between Fidelity and Teaching Complexity BAT Håvardstun, C Ferri, J Hernández-Orallo, P Parviainen, JA Telle | | |
