Ahcène Boubekki

According to our database, Ahcène Boubekki authored at least 23 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Prototypical Self-Explainable Models Without Re-training.

Srishti Gautam, Ahcene Boubekki, Marina M.-C. Höhne, Michael Kampffmeyer

Trans. Mach. Learn. Res., 2024

Explaining the Impact of Training on Vision Models via Activation Clustering.

Ahcène Boubekki, Samuel G. Fadel, Sebastian Mair

CoRR, 2024

Explainable AI needs formal notions of explanation correctness.

Stefan Haufe, Rick Wilming, Benedict Clark, Rustam Zhumagambetov, Danny Panknin, Ahcène Boubekki

CoRR, 2024

Leveraging Activations for Superpixel Explanations.

Ahcène Boubekki, Samuel G. Fadel, Sebastian Mair

CoRR, 2024

EXACT: Towards a platform for empirically benchmarking Machine Learning model explanation methods.

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

CoRR, 2024

Pantypes: Diverse Representatives for Self-Explainable Models.

Rune D. Kjærsgaard, Ahcène Boubekki, Line H. Clemmensen

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Selective Imputation for Multivariate Time Series Datasets With Missing Values.

Ane Blázquez-García, Kristoffer Wickstrøm, Shujian Yu, Karl Øyvind Mikalsen, Ahcène Boubekki, Angel Conde, Usue Mori, Robert Jenssen, José Antonio Lozano

IEEE Trans. Knowl. Data Eng., September, 2023

RELAX: Representation Learning Explainability.

Kristoffer K. Wickstrøm, Daniel J. Trosten, Sigurd Løkse, Ahcène Boubekki, Karl Øyvind Mikalsen, Michael C. Kampffmeyer, Robert Jenssen

Int. J. Comput. Vis., June, 2023

Supercm: Revisiting Clustering for Semi-Supervised Learning.

Durgesh Singh, Ahcène Boubekki, Robert Jenssen, Michael C. Kampffmeyer

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

Clinically Relevant Features for Predicting the Severity of Surgical Site Infections.

Ahcène Boubekki, Jonas Nordhaug Myhre, Luigi Tommaso Luppino, Karl Øyvind Mikalsen, Arthur Revhaug, Robert Jenssen

IEEE J. Biomed. Health Informatics, 2022

ProtoVAE: A Trustworthy Self-Explainable Prototypical Variational Model.

Srishti Gautam, Ahcène Boubekki, Stine Hansen, Suaiba Amina Salahuddin, Robert Jenssen, Marina M.-C. Höhne, Michael Kampffmeyer

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Joint optimization of an autoencoder for clustering and embedding.

Ahcène Boubekki, Michael Kampffmeyer, Ulf Brefeld, Robert Jenssen

Mach. Learn., 2021

2020

Analysis of user behavior.

Ahcène Boubekki

PhD thesis, 2020

2019

Predicting the Difficulty of Exercise Items for Dynamic Difficulty Adaptation in Adaptive Language Tutoring.

Irina Pandarova, Torben Schmidt, Johannes Hartig, Ahcène Boubekki, Roger Dale Jones, Ulf Brefeld

Int. J. Artif. Intell. Educ., 2019

2018

Mining User Trajectories in Electronic Text Books.

Ahcène Boubekki, Shailee Jain, Ulf Brefeld

Proceedings of the 11th International Conference on Educational Data Mining, 2018

2017

Infinite Mixtures of Markov Chains.

Jan Reubold, Ahcène Boubekki, Thorsten Strufe, Ulf Brefeld

Proceedings of the New Frontiers in Mining Complex Patterns - 6th International Workshop, 2017

Propagating Maximum Capacities for Recommendation.

Ahcène Boubekki, Ulf Brefeld, Cláudio Leonardo Lucchesi, Wolfgang Stille

Proceedings of the KI 2017: Advances in Artificial Intelligence, 2017

Frame-based Data Factorizations.

Sebastian Mair, Ahcène Boubekki, Ulf Brefeld

Proceedings of the 34th International Conference on Machine Learning, 2017

2016

Data-Driven Analyses of Electronic Text Books.

Ahcène Boubekki, Ulf Kröhne, Frank Goldhammer, Waltraud Schreiber, Ulf Brefeld

Proceedings of the Solving Large Scale Learning Tasks. Challenges and Algorithms, 2016

2015

Toward Data-Driven Analyses of Electronic Text Books.

Ahcène Boubekki, Ulf Kröhne, Frank Goldhammer, Waltraud Schreiber, Ulf Brefeld

Proceedings of the 8th International Conference on Educational Data Mining, 2015

Generalising IRT to Discriminate Between Examinees.

Ahcène Boubekki, Ulf Brefeld, Thomas Delacroix

Proceedings of the 8th International Conference on Educational Data Mining, 2015

Constrained independence for detecting interesting patterns.

Thomas Delacroix, Ahcene Boubekki, Philippe Lenca, Stéphane Lallich

Proceedings of the 2015 IEEE International Conference on Data Science and Advanced Analytics, 2015

2014

Mining Implications From Data.

Ahcene Boubekki, Daniel Bengs

Proceedings of the 16th LWA Workshops: KDML, 2014