Jörg Frochte

According to our database, Jörg Frochte authored at least 20 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Exploring Student Expectations and Confidence in Learning Analytics.

Hayk Asatryan, Basile Tousside, Janis Mohr, Malte Neugebauer, Hildo Bijl, Paul Spiegelberg, Claudia Frohn-Schauf, Jörg Frochte

Proceedings of the 14th Learning Analytics and Knowledge Conference, 2024

CNNs Sparsification and Expansion for Continual Learning.

Basile Tousside, Jörg Frochte, Tobias Meisen

Proceedings of the 16th International Conference on Agents and Artificial Intelligence, 2024

2023

Multiple Additive Neural Networks: A Novel Approach to Continuous Learning in Regression and Classification.

Janis Mohr, Basile Tousside, Marco Schmidt, Jörg Frochte

Proceedings of the 15th International Joint Conference on Computational Intelligence, 2023

Steigerung von Lernerfolg und Motivation durch gamifizierte Mathematik-Aufgaben in Lernmanagementsystemen.

Malte Neugebauer, Jörg Frochte

Proceedings of the DELFI 2023, 2023

Success Factors for Mathematical e-Learning Exercises Focusing First-Year Students.

Malte Neugebauer, Basile Tousside, Jörg Frochte

Proceedings of the 15th International Conference on Computer Supported Education, 2023

Shared Tasks as Tutorials: A Methodical Approach.

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

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Towards Robust Continual Learning using an Enhanced Tree-CNN.

Basile Tousside, Lukas Friedrichsen, Jörg Frochte

Proceedings of the 14th International Conference on Agents and Artificial Intelligence, 2022

Investigation of Capsule Networks Regarding their Potential of Explainability and Image Rankings.

Felizia Quetscher, Christof Kaufmann, Jörg Frochte

Proceedings of the 14th International Conference on Agents and Artificial Intelligence, 2022

Towards Explainability in Modern Educational Data Mining: A Survey.

Basile Tousside, Yashwanth Dama, Jörg Frochte

Proceedings of the 14th International Joint Conference on Knowledge Discovery, 2022

Group and Exclusive Sparse Regularization-based Continual Learning of CNNs.

Basile Tousside, Janis Mohr, Jörg Frochte

Proceedings of the 35th Canadian Conference on Artificial Intelligence, Toronto, Ontario, 2022

2021

An Approach to One-shot Identification with Neural Networks.

Janis Mohr, Finn Breidenbach, Jörg Frochte

Proceedings of the 13th International Joint Conference on Computational Intelligence, 2021

Explainability and Continuous Learning with Capsule Networks.

Janis Mohr, Basile Tousside, Marco Schmidt, Jörg Frochte

Proceedings of the 13th International Joint Conference on Knowledge Discovery, 2021

2020

Regression learning on patches.

Jörg Frochte, Stephen Marsland

Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

A Learning Approach for Optimizing Robot Behavior Selection Algorithm.

Basile Tousside, Janis Mohr, Marco Schmidt, Jörg Frochte

Proceedings of the Intelligent Robotics and Applications - 13th International Conference, 2020

2019

Case Study on Model-based Application of Machine Learning using Small CAD Databases for Cost Estimation.

Stefan Börzel, Jörg Frochte

Proceedings of the 11th International Joint Conference on Knowledge Discovery, 2019

A Learning Approach for Ill-Posed Optimisation Problems.

Jörg Frochte, Stephen Marsland

Proceedings of the Data Mining - 17th Australasian Conference, AusDM 2019, Adelaide, SA, 2019

2016

Success Prediction System for Student Counseling using Data Mining.

Jörg Frochte, Irina Bernst

Proceedings of the 8th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2016) - Volume 1: KDIR, Porto - Portugal, November 9, 2016

2013

Learning Overlap Optimization for Domain Decomposition Methods.

Steven Burrows, Jörg Frochte, Michael Völske, Ana Belén Martínez Torres, Benno Stein

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2013

2012

Evaluation and Adaptation of Techniques for Higher Index DAE with Respect to Real-Time Simulation.

Jörg Frochte

Simul. Notes Eur., 2012

2011

Simulation Data Mining for Supporting Bridge Design.

Steven Burrows, Benno Stein, Jörg Frochte, David Wiesner, Katja Müller

Proceedings of the Ninth Australasian Data Mining Conference, AusDM 2011, Ballarat, 2011