Basile Tousside

According to our database, Basile Tousside authored at least 11 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2025

Hybrid method for continual learning in convolutional Neural Networks.

Basile Tousside

PhD thesis, 2025

2024

Exploring Student Expectations and Confidence in Learning Analytics.

Hayk Asatryan, Basile Tousside, Janis Mohr, Malte Neugebauer, Hildo Bijl, Paul Spiegelberg, Claudia Frohn-Schauf, Jörg Frochte

Proceedings of the 14th Learning Analytics and Knowledge Conference, 2024

Dynamic Capacity Expansion in Continual Learning: The eSECL Approach.

Basile Tousside, Jörg Frochte, Tobias Meisen

Proceedings of the Agents and Artificial Intelligence - 16th International Conference, 2024

CNNs Sparsification and Expansion for Continual Learning.

Basile Tousside, Jörg Frochte, Tobias Meisen

Proceedings of the 16th International Conference on Agents and Artificial Intelligence, 2024

2023

Multiple Additive Neural Networks: A Novel Approach to Continuous Learning in Regression and Classification.

Janis Mohr, Basile Tousside, Marco Schmidt, Jörg Frochte

Proceedings of the 15th International Joint Conference on Computational Intelligence, 2023

Success Factors for Mathematical e-Learning Exercises Focusing First-Year Students.

Malte Neugebauer, Basile Tousside, Jörg Frochte

Proceedings of the 15th International Conference on Computer Supported Education, 2023

2022

Towards Robust Continual Learning using an Enhanced Tree-CNN.

Basile Tousside, Lukas Friedrichsen, Jörg Frochte

Proceedings of the 14th International Conference on Agents and Artificial Intelligence, 2022

Towards Explainability in Modern Educational Data Mining: A Survey.

Basile Tousside, Yashwanth Dama, Jörg Frochte

Proceedings of the 14th International Joint Conference on Knowledge Discovery, 2022

Group and Exclusive Sparse Regularization-based Continual Learning of CNNs.

Basile Tousside, Janis Mohr, Jörg Frochte

Proceedings of the 35th Canadian Conference on Artificial Intelligence, 2022

2021

Explainability and Continuous Learning with Capsule Networks.

Janis Mohr, Basile Tousside, Marco Schmidt, Jörg Frochte

Proceedings of the 13th International Joint Conference on Knowledge Discovery, 2021

2020

A Learning Approach for Optimizing Robot Behavior Selection Algorithm.

Basile Tousside, Janis Mohr, Marco Schmidt, Jörg Frochte

Proceedings of the Intelligent Robotics and Applications - 13th International Conference, 2020