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Jörg Frochte

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2020 – today

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2024
[c22]
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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
[c21]
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Christian Bockermann, Jörg Frochte, Daniel Schilberg:
Angewandte künstliche Intelligenz im Verbund verschiedener Fachbereiche. INFORMATIK 2024: 2213-2222
[c20]
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Basile Tousside, Jörg Frochte, Tobias Meisen:
CNNs Sparsification and Expansion for Continual Learning. ICAART (2) 2024: 110-120
[c19]
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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]
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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]
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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]
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Malte Neugebauer, Basile Tousside, Jörg Frochte:
Success Factors for Mathematical e-Learning Exercises Focusing First-Year Students. CSEDU (2) 2023: 306-317
[c15]
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Malte Neugebauer, Jörg Frochte:
Steigerung von Lernerfolg und Motivation durch gamifizierte Mathematik-Aufgaben in Lernmanagementsystemen. DELFI 2023: 39
[c14]
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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]
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Basile Tousside, Janis Mohr, Jörg Frochte:
Group and Exclusive Sparse Regularization-based Continual Learning of CNNs. Canadian AI 2022
[c12]
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Basile Tousside, Yashwanth Dama, Jörg Frochte:
Towards Explainability in Modern Educational Data Mining: A Survey. KDIR 2022: 212-220
[c11]
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Basile Tousside, Lukas Friedrichsen, Jörg Frochte:
Towards Robust Continual Learning using an Enhanced Tree-CNN. ICAART (3) 2022: 316-325
[c10]
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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]
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Janis Mohr, Basile Tousside, Marco Schmidt, Jörg Frochte:
Explainability and Continuous Learning with Capsule Networks. KDIR 2021: 264-273
[c8]
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Janis Mohr, Finn Breidenbach, Jörg Frochte:
An Approach to One-shot Identification with Neural Networks. IJCCI 2021: 344-351
2020
[c7]
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Basile Tousside, Janis Mohr, Marco Schmidt, Jörg Frochte:
A Learning Approach for Optimizing Robot Behavior Selection Algorithm. ICIRA 2020: 171-183
[c6]
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Jörg Frochte, Stephen Marsland:
Regression learning on patches. SSCI 2020: 1786-1793

2010 – 2019

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2019
[c5]
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Jörg Frochte, Stephen Marsland:
A Learning Approach for Ill-Posed Optimisation Problems. AusDM 2019: 16-27
[c4]
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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]
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Jörg Frochte, Irina Bernst:
Success Prediction System for Student Counseling using Data Mining. KDIR 2016: 181-188
2013
[c2]
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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]
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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]
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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]
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Steven Burrows, Benno Stein, Jörg Frochte, David Wiesner, Katja Müller:
Simulation Data Mining for Supporting Bridge Design. AusDM 2011: 163-170

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