A Learning Approach for Optimizing Robot Behavior Selection Algorithm. - Basile Tousside; Janis Mohr; Marco Schmidt; Jörg Frochte (ICIRA, 2020)

Explainability and Continuous Learning with Capsule Networks. - Janis Mohr; Basile Tousside; Marco Schmidt; Jörg Frochte (KDIR, 2021)

Group and Exclusive Sparse Regularization-based Continual Learning of CNNs. - Basile Tousside; Janis Mohr; Jörg Frochte (Canadian AI, 2022)

Towards Explainability in Modern Educational Data Mining: A Survey. - Basile Tousside; Yashwanth Dama; Jörg Frochte (KDIR, 2022)

Towards Robust Continual Learning using an Enhanced Tree-CNN. - Basile Tousside; Lukas Friedrichsen; Jörg Frochte (ICAART (3), 2022)

Success Factors for Mathematical e-Learning Exercises Focusing First-Year Students. - Malte Neugebauer; Basile Tousside; Jörg Frochte (CSEDU (2), 2023)

Multiple Additive Neural Networks: A Novel Approach to Continuous Learning in Regression and Classification. - Janis Mohr; Basile Tousside; Marco Schmidt; Jörg Frochte (IJCCI, 2023)

CNNs Sparsification and Expansion for Continual Learning. - Basile Tousside; Jörg Frochte; Tobias Meisen (ICAART (2), 2024)

Dynamic Capacity Expansion in Continual Learning: The eSECL Approach. - Basile Tousside; Jörg Frochte; Tobias Meisen (ICAART (Revised Selected Paper, 1), 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 (LAK, 2024)