| 2024 | ICAART | CNNs Sparsification and Expansion for Continual Learning. | Basile Tousside, Jrg Frochte, Tobias Meisen |
| 2024 | ICAART | Dynamic Capacity Expansion in Continual Learning: The eSECL Approach. | Basile Tousside, Jrg Frochte, Tobias Meisen |
| 2024 | LAK | Exploring Student Expectations and Confidence in Learning Analytics. | Hayk Asatryan, Basile Tousside, Janis Mohr, Malte Neugebauer, Hildo Bijl, Paul Spiegelberg, Claudia Frohn-Schauf, Jrg Frochte |
| 2023 | CSEDU | Success Factors for Mathematical e-Learning Exercises Focusing First-Year Students. | Malte Neugebauer, Basile Tousside, Jrg Frochte |
| 2023 | IJCCI | Multiple Additive Neural Networks: A Novel Approach to Continuous Learning in Regression and Classification. | Janis Mohr, Basile Tousside, Marco Schmidt, Jrg Frochte |
| 2022 | AI | Group and Exclusive Sparse Regularization-based Continual Learning of CNNs. | Basile Tousside, Janis Mohr, Jrg Frochte |
| 2022 | IC3K | Towards Explainability in Modern Educational Data Mining: A Survey. | Basile Tousside, Yashwanth Dama, Jrg Frochte |
| 2022 | ICAART | Towards Robust Continual Learning using an Enhanced Tree-CNN. | Basile Tousside, Lukas Friedrichsen, Jrg Frochte |
| 2021 | IC3K | Explainability and Continuous Learning with Capsule Networks. | Janis Mohr, Basile Tousside, Marco Schmidt, Jrg Frochte |