Ahcène Boubekki

Orcid: 0000-0003-1606-1513

According to our database1, Ahcène Boubekki authored at least 19 papers between 2014 and 2024.

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Bibliography

2024
Pantypes: Diverse Representatives for Self-Explainable Models.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Selective Imputation for Multivariate Time Series Datasets With Missing Values.
IEEE Trans. Knowl. Data Eng., September, 2023

RELAX: Representation Learning Explainability.
Int. J. Comput. Vis., June, 2023

Prototypical Self-Explainable Models Without Re-training.
CoRR, 2023

Supercm: Revisiting Clustering for Semi-Supervised Learning.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
Clinically Relevant Features for Predicting the Severity of Surgical Site Infections.
IEEE J. Biomed. Health Informatics, 2022

ProtoVAE: A Trustworthy Self-Explainable Prototypical Variational Model.
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.
Mach. Learn., 2021

2020
Analysis of user behavior.
PhD thesis, 2020

2019
Predicting the Difficulty of Exercise Items for Dynamic Difficulty Adaptation in Adaptive Language Tutoring.
Int. J. Artif. Intell. Educ., 2019

2018
Mining User Trajectories in Electronic Text Books.
Proceedings of the 11th International Conference on Educational Data Mining, 2018

2017
Infinite Mixtures of Markov Chains.
Proceedings of the New Frontiers in Mining Complex Patterns - 6th International Workshop, 2017

Propagating Maximum Capacities for Recommendation.
Proceedings of the KI 2017: Advances in Artificial Intelligence, 2017

Frame-based Data Factorizations.
Proceedings of the 34th International Conference on Machine Learning, 2017

2016
Data-Driven Analyses of Electronic Text Books.
Proceedings of the Solving Large Scale Learning Tasks. Challenges and Algorithms, 2016

2015
Toward Data-Driven Analyses of Electronic Text Books.
Proceedings of the 8th International Conference on Educational Data Mining, 2015

Generalising IRT to Discriminate Between Examinees.
Proceedings of the 8th International Conference on Educational Data Mining, 2015

Constrained independence for detecting interesting patterns.
Proceedings of the 2015 IEEE International Conference on Data Science and Advanced Analytics, 2015

2014
Mining Implications From Data.
Proceedings of the 16th LWA Workshops: KDML, 2014


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