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Ahcène Boubekki
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2020 – today
- 2024
- [j6]Srishti Gautam, Ahcene Boubekki, Marina M.-C. Höhne, Michael Kampffmeyer:
Prototypical Self-Explainable Models Without Re-training. Trans. Mach. Learn. Res. 2024 (2024) - [c12]Rune D. Kjærsgaard, Ahcène Boubekki, Line H. Clemmensen:
Pantypes: Diverse Representatives for Self-Explainable Models. AAAI 2024: 13230-13237 - [i7]Rune D. Kjærsgaard, Ahcène Boubekki, Line H. Clemmensen:
Pantypes: Diverse Representatives for Self-Explainable Models. CoRR abs/2403.09383 (2024) - [i6]Benedict Clark, Rick Wilming, Artur Dox, Paul Eschenbach, Sami Hached, Daniel Jin Wodke, Michias Taye Zewdie, Uladzislau Bruila, Marta Oliveira, Hjalmar Schulz, Luca Matteo Cornils, Danny Panknin, Ahcène Boubekki, Stefan Haufe:
EXACT: Towards a platform for empirically benchmarking Machine Learning model explanation methods. CoRR abs/2405.12261 (2024) - [i5]Ahcène Boubekki, Samuel G. Fadel, Sebastian Mair:
Leveraging Activations for Superpixel Explanations. CoRR abs/2406.04933 (2024) - [i4]Stefan Haufe, Rick Wilming, Benedict Clark, Rustam Zhumagambetov, Danny Panknin, Ahcène Boubekki:
Explainable AI needs formal notions of explanation correctness. CoRR abs/2409.14590 (2024) - 2023
- [j5]Kristoffer K. Wickstrøm, Daniel J. Trosten, Sigurd Løkse, Ahcène Boubekki, Karl Øyvind Mikalsen, Michael C. Kampffmeyer, Robert Jenssen:
RELAX: Representation Learning Explainability. Int. J. Comput. Vis. 131(6): 1584-1610 (2023) - [j4]Ane Blázquez-García, Kristoffer Wickstrøm, Shujian Yu, Karl Øyvind Mikalsen, Ahcène Boubekki, Angel Conde, Usue Mori, Robert Jenssen, José Antonio Lozano:
Selective Imputation for Multivariate Time Series Datasets With Missing Values. IEEE Trans. Knowl. Data Eng. 35(9): 9490-9501 (2023) - [c11]Durgesh Singh, Ahcène Boubekki, Robert Jenssen, Michael C. Kampffmeyer:
Supercm: Revisiting Clustering for Semi-Supervised Learning. ICASSP 2023: 1-5 - [i3]Srishti Gautam, Ahcene Boubekki, Marina M.-C. Höhne, Michael C. Kampffmeyer:
Prototypical Self-Explainable Models Without Re-training. CoRR abs/2312.07822 (2023) - 2022
- [j3]Ahcène Boubekki, Jonas Nordhaug Myhre, Luigi Tommaso Luppino, Karl Øyvind Mikalsen, Arthur Revhaug, Robert Jenssen:
Clinically Relevant Features for Predicting the Severity of Surgical Site Infections. IEEE J. Biomed. Health Informatics 26(4): 1794-1801 (2022) - [c10]Srishti Gautam, Ahcène Boubekki, Stine Hansen, Suaiba Amina Salahuddin, Robert Jenssen, Marina M.-C. Höhne, Michael Kampffmeyer:
ProtoVAE: A Trustworthy Self-Explainable Prototypical Variational Model. NeurIPS 2022 - [i2]Srishti Gautam, Ahcene Boubekki, Stine Hansen, Suaiba Amina Salahuddin, Robert Jenssen, Marina M.-C. Höhne, Michael Kampffmeyer:
ProtoVAE: A Trustworthy Self-Explainable Prototypical Variational Model. CoRR abs/2210.08151 (2022) - 2021
- [j2]Ahcène Boubekki, Michael Kampffmeyer, Ulf Brefeld, Robert Jenssen:
Joint optimization of an autoencoder for clustering and embedding. Mach. Learn. 110(7): 1901-1937 (2021) - 2020
- [b1]Ahcène Boubekki:
Analysis of user behavior. Leuphana University of Lüneburg, Germany, 2020 - [i1]Ahcène Boubekki, Michael Kampffmeyer, Ulf Brefeld, Robert Jenssen:
Joint Optimization of an Autoencoder for Clustering and Embedding. CoRR abs/2012.03740 (2020)
2010 – 2019
- 2019
- [j1]Irina Pandarova, Torben Schmidt, Johannes Hartig, Ahcène Boubekki, Roger Dale Jones, Ulf Brefeld:
Predicting the Difficulty of Exercise Items for Dynamic Difficulty Adaptation in Adaptive Language Tutoring. Int. J. Artif. Intell. Educ. 29(3): 342-367 (2019) - 2018
- [c9]Ahcène Boubekki, Shailee Jain, Ulf Brefeld:
Mining User Trajectories in Electronic Text Books. EDM 2018 - 2017
- [c8]Sebastian Mair, Ahcène Boubekki, Ulf Brefeld:
Frame-based Data Factorizations. ICML 2017: 2305-2313 - [c7]Ahcène Boubekki, Ulf Brefeld, Cláudio Leonardo Lucchesi, Wolfgang Stille:
Propagating Maximum Capacities for Recommendation. KI 2017: 72-84 - [c6]Jan Reubold, Ahcène Boubekki, Thorsten Strufe, Ulf Brefeld:
Infinite Mixtures of Markov Chains. NFMCP@PKDD/ECML 2017: 167-181 - 2016
- [c5]Ahcène Boubekki, Ulf Kröhne, Frank Goldhammer, Waltraud Schreiber, Ulf Brefeld:
Data-Driven Analyses of Electronic Text Books. Solving Large Scale Learning Tasks 2016: 362-376 - 2015
- [c4]Thomas Delacroix, Ahcene Boubekki, Philippe Lenca, Stéphane Lallich:
Constrained independence for detecting interesting patterns. DSAA 2015: 1-10 - [c3]Ahcène Boubekki, Ulf Kröhne, Frank Goldhammer, Waltraud Schreiber, Ulf Brefeld:
Toward Data-Driven Analyses of Electronic Text Books. EDM 2015: 592-593 - [c2]Ahcène Boubekki, Ulf Brefeld, Thomas Delacroix:
Generalising IRT to Discriminate Between Examinees. EDM 2015: 604-605 - 2014
- [c1]Ahcene Boubekki, Daniel Bengs:
Mining Implications From Data. LWA 2014: 205-216
Coauthor Index
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last updated on 2024-10-16 20:33 CEST by the dblp team
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