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Jörg Frochte
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2020 – today
- 2024
- [c21]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: 467-477 - [c20]Basile Tousside, Jörg Frochte
, Tobias Meisen:
CNNs Sparsification and Expansion for Continual Learning. ICAART (2) 2024: 110-120 - [c19]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 - [c18]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
- [c17]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: 15807-15815 - [c16]Malte Neugebauer
, Basile Tousside, Jörg Frochte
:
Success Factors for Mathematical e-Learning Exercises Focusing First-Year Students. CSEDU (2) 2023: 306-317 - [c15]Malte Neugebauer
, Jörg Frochte
:
Steigerung von Lernerfolg und Motivation durch gamifizierte Mathematik-Aufgaben in Lernmanagementsystemen. DELFI 2023: 39 - [c14]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
- [c13]Basile Tousside, Janis Mohr
, Jörg Frochte
:
Group and Exclusive Sparse Regularization-based Continual Learning of CNNs. Canadian AI 2022 - [c12]Basile Tousside, Yashwanth Dama, Jörg Frochte
:
Towards Explainability in Modern Educational Data Mining: A Survey. KDIR 2022: 212-220 - [c11]Basile Tousside, Lukas Friedrichsen, Jörg Frochte
:
Towards Robust Continual Learning using an Enhanced Tree-CNN. ICAART (3) 2022: 316-325 - [c10]Felizia Quetscher, Christof Kaufmann, Jörg Frochte
:
Investigation of Capsule Networks Regarding their Potential of Explainability and Image Rankings. ICAART (3) 2022: 343-351 - 2021
- [c9]Janis Mohr
, Basile Tousside, Marco Schmidt, Jörg Frochte
:
Explainability and Continuous Learning with Capsule Networks. KDIR 2021: 264-273 - [c8]Janis Mohr
, Finn Breidenbach, Jörg Frochte
:
An Approach to One-shot Identification with Neural Networks. IJCCI 2021: 344-351 - 2020
- [c7]Basile Tousside, Janis Mohr
, Marco Schmidt, Jörg Frochte
:
A Learning Approach for Optimizing Robot Behavior Selection Algorithm. ICIRA 2020: 171-183 - [c6]Jörg Frochte
, Stephen Marsland:
Regression learning on patches. SSCI 2020: 1786-1793
2010 – 2019
- 2019
- [c5]Jörg Frochte
, Stephen Marsland:
A Learning Approach for Ill-Posed Optimisation Problems. AusDM 2019: 16-27 - [c4]Stefan Börzel, Jörg Frochte
:
Case Study on Model-based Application of Machine Learning using Small CAD Databases for Cost Estimation. KDIR 2019: 258-265 - 2016
- [c3]Jörg Frochte
, Irina Bernst:
Success Prediction System for Student Counseling using Data Mining. KDIR 2016: 181-188 - 2013
- [c2]Steven Burrows, Jörg Frochte
, Michael Völske, Ana Belén Martínez Torres, Benno Stein:
Learning Overlap Optimization for Domain Decomposition Methods. PAKDD (1) 2013: 438-449 - 2012
- [j1]Jörg Frochte
:
Evaluation and Adaptation of Techniques for Higher Index DAE with Respect to Real-Time Simulation. Simul. Notes Eur. 22(1): 45-52 (2012) - [d1]Steven Burrows, Benno Stein
, Jörg Frochte
, Tim Gollub
, Peter Hirsch, Jens Opolka, Tom Paschke, Michael Völske
:
Webis Simulation Data Mining Bridge Models Corpus 2012 (Webis-SDMbridge-12). Zenodo, 2012 - 2011
- [c1]Steven Burrows, Benno Stein, Jörg Frochte
, David Wiesner, Katja Müller:
Simulation Data Mining for Supporting Bridge Design. AusDM 2011: 163-170
Coauthor Index
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last updated on 2024-08-07 21:32 CEST by the dblp team
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