| 2026 | ICAART | GB-KAN: Gradient Boosting with Interpretable Kolmogorov-Arnold Networks. | Janis Mohr, Jrg Frochte |
| 2024 | CSEDU | Efficient Learning Processes by Design: Analysis of Usage Patterns in Differently Designed Digital Self-Learning Environments. | Malte Neugebauer, Ralf Erlebach, Christof Kaufmann, Janis Mohr, Jrg Frochte |
| 2024 | GI | Angewandte knstliche Intelligenz im Verbund verschiedener Fachbereiche. | Christian Bockermann, Jrg Frochte, Daniel Schilberg |
| 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 | ITiCSE | Classification of Shared Tasks Used in Teaching. | Theresa Elstner, Brbel Hanle, Frank Loebe, Maik Frbe, Nikolay Kolyada, Janis Mohr, Jrg Frochte, Sven Hofmann, Benno Stein, Martin Potthast |
| 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 | AAAI | Shared Tasks as Tutorials: A Methodical Approach. | Theresa Elstner, Frank Loebe, Yamen Ajjour, Christopher Akiki, Alexander Bondarenko, Maik Frbe, Lukas Gienapp, Nikolay Kolyada, Janis Mohr, Stephan Sandfuchs, Matti Wiegmann, Jrg Frochte, Nicola Ferro, Sven Hofmann, Benno Stein, Matthias Hagen, Martin Potthast |
| 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 | Investigation of Capsule Networks Regarding their Potential of Explainability and Image Rankings. | Felizia Quetscher, Christof Kaufmann, 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 |
| 2021 | IJCCI | An Approach to One-shot Identification with Neural Networks. | Janis Mohr, Finn Breidenbach, Jrg Frochte |
| 2019 | AusDM | A Learning Approach for Ill-Posed Optimisation Problems. | Jrg Frochte, Stephen Marsland |
| 2019 | IC3K | Case Study on Model-based Application of Machine Learning using Small CAD Databases for Cost Estimation. | Stefan Brzel, Jrg Frochte |
| 2016 | IC3K | Success Prediction System for Student Counseling using Data Mining. | Jrg Frochte, Irina Bernst |
| 2013 | PAKDD | Learning Overlap Optimization for Domain Decomposition Methods. | Steven Burrows, Jrg Frochte, Michael Vlske, Ana Beln Martnez Torres, Benno Stein |
| 2011 | AusDM | Simulation Data Mining for Supporting Bridge Design. | Steven Burrows, Benno Stein, Jrg Frochte, David Wiesner, Katja Mller |