Jörg Frochte

29 papers A* 1A 1C 2Misc 2Journal 5Unranked 18
YearRankTypeTitle / 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 — conf
GB-KAN: Gradient Boosting with Interpretable Kolmogorov-Arnold Networks.
ICAART (3)
Janis Mohr, Jörg Frochte
2026 J jnl
Group and Exclusive Sparse Regularization-based Continual Learning of CNNs.
CoRR
Basile Tousside, Janis Mohr, Jörg Frochte
2026 J jnl
One-Shot Identification with Different Neural Network Approaches.
CoRR
Janis Mohr, Jörg Frochte
2026 J jnl
Responsible AI in Business.
CoRR
Stephan Sandfuchs, Diako Farooghi, Janis Mohr, Sarah Grewe, Markus Lemmen, Jörg Frochte
2024 — conf
Angewandte künstliche Intelligenz im Verbund verschiedener Fachbereiche.
INFORMATIK
Christian Bockermann, Jörg Frochte, Daniel Schilberg
2024 — conf
CNNs Sparsification and Expansion for Continual Learning.
ICAART (2)
Basile Tousside, Jörg Frochte, Tobias Meisen
2024 — conf
Classification of Shared Tasks Used in Teaching.
ITiCSE (1)
Theresa Elstner, Bärbel Hanle, Frank Loebe, Maik Fröbe, Nikolay Kolyada, Janis Mohr, Jörg Frochte, Sven Hofmann, Benno Stein, Martin Potthast
2024 — conf
Dynamic Capacity Expansion in Continual Learning: The eSECL Approach.
ICAART (Revised Selected Paper, 1)
Basile Tousside, Jörg Frochte, Tobias Meisen
2024 — conf
Efficient Learning Processes by Design: Analysis of Usage Patterns in Differently Designed Digital Self-Learning Environments.
CSEDU (2)
Malte Neugebauer, Ralf Erlebach, Christof Kaufmann, Janis Mohr, Jörg Frochte
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 A* conf
Shared Tasks as Tutorials: A Methodical Approach.
AAAI
Theresa Elstner, Frank Loebe, Yamen Ajjour, Christopher Akiki, Alexander Bondarenko, Maik Fröbe, Lukas Gienapp, Nikolay Kolyada, Janis Mohr, Stephan Sandfuchs, Matti Wiegmann, Jörg Frochte, Nicola Ferro, Sven Hofmann, Benno Stein, Matthias Hagen, Martin Potthast
2023 — conf
Steigerung von Lernerfolg und Motivation durch gamifizierte Mathematik-Aufgaben in Lernmanagementsystemen.
DELFI
Malte Neugebauer, 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
Investigation of Capsule Networks Regarding their Potential of Explainability and Image Rankings.
ICAART (3)
Felizia Quetscher, Christof Kaufmann, 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 C conf
An Approach to One-shot Identification with Neural Networks.
IJCCI
Janis Mohr, Finn Breidenbach, 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
2020 — conf
Regression learning on patches.
SSCI
Jörg Frochte, Stephen Marsland
2019 Misc conf
A Learning Approach for Ill-Posed Optimisation Problems.
AusDM
Jörg Frochte, Stephen Marsland
2019 — conf
Case Study on Model-based Application of Machine Learning using Small CAD Databases for Cost Estimation.
KDIR
Stefan Börzel, Jörg Frochte
2016 — conf
Success Prediction System for Student Counseling using Data Mining.
KDIR
Jörg Frochte, Irina Bernst
2013 — conf
Learning Overlap Optimization for Domain Decomposition Methods.
PAKDD (1)
Steven Burrows, Jörg Frochte, Michael Völske, Ana Belén Martínez Torres, Benno Stein
2012 J jnl
Evaluation and Adaptation of Techniques for Higher Index DAE with Respect to Real-Time Simulation.
Simul. Notes Eur.
Jörg Frochte
2011 Misc conf
Simulation Data Mining for Supporting Bridge Design.
AusDM
Steven Burrows, Benno Stein, Jörg Frochte, David Wiesner, Katja Müller