| Predicting the difficulty of exercise items for dynamic difficulty adaptation in adaptive language tutoring I Pandarova, T Schmidt, J Hartig, A Boubekki, RD Jones, U Brefeld International Journal of Artificial Intelligence in Education 29, 342-367, 2019 | 52 | 2019 |
| Protovae: A trustworthy self-explainable prototypical variational model S Gautam, A Boubekki, S Hansen, S Salahuddin, R Jenssen, M Höhne, ... Advances in Neural Information Processing Systems 35, 17940-17952, 2022 | 34 | 2022 |
| Frame-based data factorizations S Mair, A Boubekki, U Brefeld International Conference on Machine Learning, 2305-2313, 2017 | 25 | 2017 |
| Joint optimization of an autoencoder for clustering and embedding A Boubekki, M Kampffmeyer, U Brefeld, R Jenssen Machine learning 110 (7), 1901-1937, 2021 | 22 | 2021 |
| RELAX: Representation learning explainability KK Wickstrøm, DJ Trosten, S Løkse, A Boubekki, KØ Mikalsen, ... International Journal of Computer Vision 131 (6), 1584-1610, 2023 | 13 | 2023 |
| Analysis of user behavior A Boubekki | 13* | 2020 |
| Mining User Trajectories in Electronic Text Books. A Boubekki, S Jain, U Brefeld International Educational Data Mining Society, 2018 | 10 | 2018 |
| An application of multiple behavior SIA for analyzing data from student exams< b> Applications multiples de l´ ASI pour l´ analyse des données des examens d´ étudiants T Delacroix, A Boubekki Educação Matemática Pesquisa Revista do Programa de Estudos Pós-Graduados em …, 2014 | 8 | 2014 |
| Selective imputation for multivariate time series datasets with missing values A Blázquez-García, K Wickstrøm, S Yu, KØ Mikalsen, A Boubekki, ... IEEE Transactions on Knowledge and Data Engineering 35 (9), 9490-9501, 2023 | 7 | 2023 |
| Data-driven analyses of electronic text books A Boubekki, U Kröhne, F Goldhammer, W Schreiber, U Brefeld Solving Large Scale Learning Tasks. Challenges and Algorithms: Essays …, 2016 | 6 | 2016 |
| Infinite mixtures of markov chains J Reubold, A Boubekki, T Strufe, U Brefeld New Frontiers in Mining Complex Patterns: 6th International Workshop, NFMCP …, 2018 | 4 | 2018 |
| Clinically relevant features for predicting the severity of surgical site infections A Boubekki, JN Myhre, LT Luppino, KØ Mikalsen, A Revhaug, R Jenssen IEEE Journal of Biomedical and Health Informatics 26 (4), 1794-1801, 2021 | 3 | 2021 |
| Constrained independence for detecting interesting patterns T Delacroix, A Boubekki, P Lenca, S Lallich 2015 IEEE International Conference on Data Science and Advanced Analytics …, 2015 | 3 | 2015 |
| Prototypical Self-Explainable Models Without Re-training S Gautam, A Boubekki, M Höhne, MC Kampffmeyer arXiv preprint arXiv:2312.07822, 2023 | 2 | 2023 |
| Pantypes: Diverse Representatives for Self-Explainable Models R Kjærsgaard, A Boubekki, L Clemmensen Proceedings of the AAAI Conference on Artificial Intelligence 38 (12), 13230 …, 2024 | 1 | 2024 |
| Supercm: Revisiting Clustering for Semi-Supervised Learning D Singh, A Boubekki, R Jenssen, MC Kampffmeyer ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 1 | 2023 |
| Propagating Maximum Capacities for Recommendation A Boubekki, U Brefeld, CL Lucchesi, W Stille KI 2017: Advances in Artificial Intelligence: 40th Annual German Conference …, 2017 | 1 | 2017 |
| Bayesian user behavior models J Reubold, A Boubekki, T Strufe, U Brefeld Proceedings of the ECML/PKDD Workshop on New Frontiers in Mining Complex …, 2017 | 1 | 2017 |
| Explainable AI needs formal notions of explanation correctness S Haufe, R Wilming, B Clark, R Zhumagambetov, D Panknin, A Boubekki arXiv preprint arXiv:2409.14590, 2024 | | 2024 |
| Leveraging Activations for Superpixel Explanations A Boubekki, SG Fadel, S Mair arXiv preprint arXiv:2406.04933, 2024 | | 2024 |
