Jörg Frochte

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 19

Top Topics

Optimisation Problems

Success Factors

Selection Algorithm

Learning Process

Top Venues

Publications

Malte Neugebauer, Ralf Erlebach, Christof Kaufmann, Janis Mohr, Jörg Frochte
Efficient Learning Processes by Design: Analysis of Usage Patterns in Differently Designed Digital Self-Learning Environments. CSEDU (2) (2024)
Theresa Elstner, Bärbel Hanle, Frank Loebe, Maik Fröbe, Nikolay Kolyada, Janis Mohr, Jörg Frochte, Sven Hofmann, Benno Stein, Martin Potthast
Classification of Shared Tasks Used in Teaching. ITiCSE (1) (2024)
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)
Basile Tousside, Jörg Frochte, Tobias Meisen
CNNs Sparsification and Expansion for Continual Learning. ICAART (2) (2024)
Janis Mohr, Basile Tousside, Marco Schmidt, Jörg Frochte
Multiple Additive Neural Networks: A Novel Approach to Continuous Learning in Regression and Classification. IJCCI (2023)
Malte Neugebauer, Jörg Frochte
Steigerung von Lernerfolg und Motivation durch gamifizierte Mathematik-Aufgaben in Lernmanagementsystemen. DELFI (2023)
Malte Neugebauer, Basile Tousside, Jörg Frochte
Success Factors for Mathematical e-Learning Exercises Focusing First-Year Students. CSEDU (2) (2023)
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
Shared Tasks as Tutorials: A Methodical Approach. AAAI (2023)
Basile Tousside, Lukas Friedrichsen, Jörg Frochte
Towards Robust Continual Learning using an Enhanced Tree-CNN. ICAART (3) (2022)
Basile Tousside, Yashwanth Dama, Jörg Frochte
Towards Explainability in Modern Educational Data Mining: A Survey. KDIR (2022)
Basile Tousside, Janis Mohr, Jörg Frochte
Group and Exclusive Sparse Regularization-based Continual Learning of CNNs. AI (2022)
Felizia Quetscher, Christof Kaufmann, Jörg Frochte
Investigation of Capsule Networks Regarding their Potential of Explainability and Image Rankings. ICAART (3) (2022)
Janis Mohr, Basile Tousside, Marco Schmidt, Jörg Frochte
Explainability and Continuous Learning with Capsule Networks. KDIR (2021)
Janis Mohr, Finn Breidenbach, Jörg Frochte
An Approach to One-shot Identification with Neural Networks. IJCCI (2021)
Jörg Frochte, Stephen Marsland
Regression learning on patches. SSCI (2020)
Basile Tousside, Janis Mohr, Marco Schmidt, Jörg Frochte
A Learning Approach for Optimizing Robot Behavior Selection Algorithm. ICIRA (2020)
Jörg Frochte, Stephen Marsland
A Learning Approach for Ill-Posed Optimisation Problems. AusDM (2019)
Stefan Börzel, Jörg Frochte
Case Study on Model-based Application of Machine Learning using Small CAD Databases for Cost Estimation. KDIR (2019)
Jörg Frochte, Irina Bernst
Success Prediction System for Student Counseling using Data Mining. KDIR (2016)
Steven Burrows, Jörg Frochte, Michael Völske, Ana Belén Martínez Torres, Benno Stein
Learning Overlap Optimization for Domain Decomposition Methods. PAKDD (1) (2013)
Jörg Frochte
Evaluation and Adaptation of Techniques for Higher Index DAE with Respect to Real-Time Simulation. Simul. Notes Eur. 22 (1) (2012)
Steven Burrows, Benno Stein, Jörg Frochte, David Wiesner, Katja Müller
Simulation Data Mining for Supporting Bridge Design. AusDM (2011)