Basile Tousside

12 papers A 1C 1Journal 2Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Exploring Student Expectations and Confidence in Learning Analytics. CoRR Hayk Asatryan, Basile Tousside, Janis Mohr, Malte Neugebauer, Hildo Bijl, Paul Spiegelberg, Claudia Frohn-Schauf, Jörg Frochte
2026	J	`jnl`	Group and Exclusive Sparse Regularization-based Continual Learning of CNNs. CoRR Basile Tousside, Janis Mohr, Jörg Frochte
2024	—	`conf`	CNNs Sparsification and Expansion for Continual Learning. ICAART (2) Basile Tousside, Jörg Frochte, Tobias Meisen
2024	—	`conf`	Dynamic Capacity Expansion in Continual Learning: The eSECL Approach. ICAART (Revised Selected Paper, 1) Basile Tousside, Jörg Frochte, Tobias Meisen
2024	A	`conf`	Exploring Student Expectations and Confidence in Learning Analytics. LAK Hayk Asatryan, Basile Tousside, Janis Mohr, Malte Neugebauer, Hildo Bijl, Paul Spiegelberg, Claudia Frohn-Schauf, Jörg Frochte
2023	C	`conf`	Multiple Additive Neural Networks: A Novel Approach to Continuous Learning in Regression and Classification. IJCCI Janis Mohr, Basile Tousside, Marco Schmidt, Jörg Frochte
2023	—	`conf`	Success Factors for Mathematical e-Learning Exercises Focusing First-Year Students. CSEDU (2) Malte Neugebauer, Basile Tousside, Jörg Frochte
2022	—	`conf`	Group and Exclusive Sparse Regularization-based Continual Learning of CNNs. Canadian AI Basile Tousside, Janis Mohr, Jörg Frochte
2022	—	`conf`	Towards Explainability in Modern Educational Data Mining: A Survey. KDIR Basile Tousside, Yashwanth Dama, Jörg Frochte
2022	—	`conf`	Towards Robust Continual Learning using an Enhanced Tree-CNN. ICAART (3) Basile Tousside, Lukas Friedrichsen, Jörg Frochte
2021	—	`conf`	Explainability and Continuous Learning with Capsule Networks. KDIR Janis Mohr, Basile Tousside, Marco Schmidt, Jörg Frochte
2020	—	`conf`	A Learning Approach for Optimizing Robot Behavior Selection Algorithm. ICIRA Basile Tousside, Janis Mohr, Marco Schmidt, Jörg Frochte