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2020 – today
- 2024
[c9]Basile Tousside, Jörg Frochte
, Tobias Meisen:
CNNs Sparsification and Expansion for Continual Learning. ICAART (2) 2024: 110-120- [c8]Hayk Asatryan, Basile Tousside, Janis Mohr, Malte Neugebauer, Hildo Bijl, Paul Spiegelberg, Claudia Frohn-Schauf, Jörg Frochte:
Exploring Student Expectations and Confidence in Learning Analytics. LAK 2024: 892-898 - 2023
- [c7]Malte Neugebauer, Basile Tousside, Jörg Frochte:
Success Factors for Mathematical e-Learning Exercises Focusing First-Year Students. CSEDU (2) 2023: 306-317 - [c6]Janis Mohr, Basile Tousside, Marco Schmidt, Jörg Frochte:
Multiple Additive Neural Networks: A Novel Approach to Continuous Learning in Regression and Classification. IJCCI 2023: 540-547 - 2022
- [c5]Basile Tousside, Janis Mohr, Jörg Frochte:
Group and Exclusive Sparse Regularization-based Continual Learning of CNNs. Canadian AI 2022 - [c4]Basile Tousside, Yashwanth Dama, Jörg Frochte:
Towards Explainability in Modern Educational Data Mining: A Survey. KDIR 2022: 212-220 - [c3]Basile Tousside, Lukas Friedrichsen, Jörg Frochte:
Towards Robust Continual Learning using an Enhanced Tree-CNN. ICAART (3) 2022: 316-325 - 2021
- [c2]Janis Mohr, Basile Tousside, Marco Schmidt, Jörg Frochte:
Explainability and Continuous Learning with Capsule Networks. KDIR 2021: 264-273 - 2020
- [c1]Basile Tousside, Janis Mohr, Marco Schmidt, Jörg Frochte:
A Learning Approach for Optimizing Robot Behavior Selection Algorithm. ICIRA 2020: 171-183
Coauthor Index
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