Ahcène Boubekki

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 17

Top Topics

Electronic Documents

Top Venues

Publications

Rune D. Kjærsgaard, Ahcène Boubekki, Line H. Clemmensen
Pantypes: Diverse Representatives for Self-Explainable Models. CoRR (2024)
Rune D. Kjærsgaard, Ahcène Boubekki, Line H. Clemmensen
Pantypes: Diverse Representatives for Self-Explainable Models. AAAI (2024)
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 (2024)
Ahcène Boubekki, Samuel G. Fadel, Sebastian Mair
Leveraging Activations for Superpixel Explanations. CoRR (2024)
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) (2023)
Durgesh Singh, Ahcène Boubekki, Robert Jenssen, Michael C. Kampffmeyer
Supercm: Revisiting Clustering for Semi-Supervised Learning. ICASSP (2023)
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) (2023)
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) (2022)
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)
Ahcène Boubekki, Michael Kampffmeyer, Ulf Brefeld, Robert Jenssen
Joint optimization of an autoencoder for clustering and embedding. Mach. Learn. 110 (7) (2021)
Ahcène Boubekki, Michael Kampffmeyer, Ulf Brefeld, Robert Jenssen
Joint Optimization of an Autoencoder for Clustering and Embedding. CoRR (2020)
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) (2019)
Ahcène Boubekki, Shailee Jain, Ulf Brefeld
Mining User Trajectories in Electronic Text Books. EDM (2018)
Jan Reubold, Ahcène Boubekki, Thorsten Strufe, Ulf Brefeld
Infinite Mixtures of Markov Chains. NFMCP@PKDD/ECML (2017)
Ahcène Boubekki, Ulf Brefeld, Cláudio Leonardo Lucchesi, Wolfgang Stille
Propagating Maximum Capacities for Recommendation. KI (2017)
Sebastian Mair, Ahcène Boubekki, Ulf Brefeld
Frame-based Data Factorizations. ICML (2017)
Ahcène Boubekki, Ulf Kröhne, Frank Goldhammer, Waltraud Schreiber, Ulf Brefeld
Data-Driven Analyses of Electronic Text Books. Solving Large Scale Learning Tasks (2016)
Ahcène Boubekki, Ulf Brefeld, Thomas Delacroix
Generalising IRT to Discriminate Between Examinees. EDM (2015)
Ahcène Boubekki, Ulf Kröhne, Frank Goldhammer, Waltraud Schreiber, Ulf Brefeld
Toward Data-Driven Analyses of Electronic Text Books. EDM (2015)