2026
Responsible AI in Business
S. Sandfuchs, D. Farooghi, J. Mohr, S. Grewe, M. Lemmen, J. Frochte
2025
LLMs for Text-Based Exploration and Navigation under Partial Observability
S. Sandfuchs, M. Melchert, J. Frochte
To be published
Dynamic Capacity Expansion in Continual Learning: The eSECL Approach
B. Tousside, T. Meisen, J. Frochte
16th International Conference on Agents and Artificial Intelligence (ICAART 2024), Rome
Multiple Additive Neural Networks for Structured and Unstructured Data
J. Mohr, J. Frochte
15th International Joint Conference on Computational Intelligence (IJCCI 2023), Rome
2024
Angewandte Künstliche Intelligenz im Verbund verschiedener Fachbereiche
C. Bockermann, J. Frochte, D. Schilberg
INFORMATIK 2024, Wiesbaden
Efficient Learning Processes by Design: Analysis of Usage Patterns in Differently Designed Digital Self-Learning Environments
M. Neugebauer, R. Erlebach, C. Kaufmann, J. Mohr, J. Frochte
16th International Conference on Computer Supported Education (CSEDU 2024), Angers
CNNs Sparsification and Expansion for Continual Learning
B. Tousside, J. Frochte, T. Meisen
16th International Conference on Agents and Artificial Intelligence (ICAART 2024), Vol. 2, pp. 110–120, Rome
Exploring Student Expectations and Confidence in Learning Analytics
H. Asatyran, B. Tousside, J. Mohr, M. Neugebauer, J. Frochte, H. Bijl
14th Learning Analytics and Knowledge Conference (LAK 2024), Kyoto
Classification of Shared Tasks Used in Teaching
T. Elstner, B. Hanle, F. Loebe, M. Fröbe, N. Kolyada, J. Mohr, B. Stein, M. Potthast, J. Frochte
29th ACM Conference on Innovation and Technology in Computer Science Education (ITiCSE 2024), Milan
Lightweight Learning Analytics Dashboard for Analyzing the Impact of Feedback & Design on Learning in Mathematical E-Learning
M. Neugebauer
Proceedings 18. Workshop Mathematik in ingenieurwissenschaftlichen Studiengängen, pp. 44–49
2023
Steigerung von Lernerfolg und Motivation durch gamifizierte Mathematik-Aufgaben in Lernmanagementsystemen
M. Neugebauer, J. Frochte
21. Fachtagung Bildungstechnologien (DELFI), pp. 247–248
One-Shot Identification with Different Neural Network Approaches
J. Mohr, J. Frochte
Studies in Computational Intelligence, Vol. 1119, pp. 205–222 (Springer)
Multiple Additive Neural Networks: A Novel Approach to Continuous Learning in Regression and Classification
J. Mohr, B. Tousside, M. Schmidt, J. Frochte
15th International Conference on Neural Computation Theory and Applications (NCTA 2023)
Shared Tasks as Tutorials: A Methodical Approach
T. Elstner, F. Loebe, Y. Ajjour, C. Akiki, A. Bondarenko, M. Fröbe, L. Gienapp, N. Kolyada, J. Mohr, S. Sandfuchs, M. Wiegmann, N. Ferro, S. Hofmann, B. Stein, M. Hagen, M. Potthast, J. Frochte
Proceedings of the AAAI Conference on Artificial Intelligence, Vol. 37, pp. 15807–15815
Success Factors for Mathematical e-Learning Exercises Focusing First-Year Students
M. Neugebauer, B. Tousside, J. Frochte
15th International Conference on Computer Supported Education (CSEDU 2023), Vol. 2, pp. 306–317
KI startet durch
J. Frochte
SciCom – Customer magazine of Stadtwerke Bochum
September 2023
KI als Chance: Pro & Contra
J. Frochte
IHK Magazin
2023
2022
Towards Explainability in Modern Educational Data Mining: A Survey
B. Tousside, Y. Dama, J. Frochte
14th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, pp. 212–220
Group and Exclusive Sparse Regularization-based Continual Learning of CNNs
B. Tousside, J. Mohr, J. Frochte
Canadian Conference on Artificial Intelligence
Best Paper Award
Investigation of Capsule Networks Regarding their Potential of Explainability and Image Rankings
F. Quetscher, C. Kaufmann, J. Frochte
14th International Conference on Agents and Artificial Intelligence (ICAART 2022), Vol. 3, pp. 343–351
Novel Approaches for Periodic Depth Enhancement in Visual SLAM
S. Sandfuchs, M. Schmidt, J. Frochte
Advances in Service and Industrial Robotics, pp. 436–443 (Springer)
Towards Robust Continual Learning using an Enhanced Tree-CNN
B. Tousside, L. Friedrichsen, J. Frochte
14th International Conference on Agents and Artificial Intelligence (ICAART 2022), Vol. 3
Technische Grundlagen
J. Frochte
Linux-Magazin
September 2022
2021
Explainability and Continuous Learning with Capsule Networks
J. Mohr, B. Tousside, M. Schmidt, J. Frochte
13th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2021), Vol. 1, pp. 264–273
An Approach to One-shot Identification with Neural Networks
J. Mohr, F. Breidenbach, J. Frochte
13th International Joint Conference on Computational Intelligence (IJCCI 2021), pp. 344–351
2020
Regression Learning on Patches
S. Marsland, J. Frochte
2020 IEEE Symposium Series on Computational Intelligence (SSCI), pp. 1786–1793
Concerning the Integration of Machine Learning Content in Mechatronics Curricula
M. Lemmen, M. Schmidt, J. Frochte
Revolutionizing Education in the Age of AI and Machine Learning, pp. 75–96 (IGI Global)
A Learning Approach for Optimizing Robot Behavior Selection Algorithm
B. Tousside, J. Mohr, M. Schmidt, J. Frochte
Intelligent Robotics and Applications (ICIRA 2020), Lecture Notes in Computer Science, Vol. 12595, pp. 171–183 (Springer)
2019
A Learning Approach for Ill-Posed Optimisation Problems
S. Marsland, J. Frochte
Data Mining (AusDM 2019), Communications in Computer and Information Science, Vol. 1127, pp. 16–27 (Springer)
Best Paper Award
Goal-shot, a Benchmark Problem for Ill-Posed Problems
J. Frochte
arXiv preprint
Case Study on Model-based Application of Machine Learning Using Small CAD Databases for Cost Estimation
S. Börzel, J. Frochte
11th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (KDIR 2019), Vol. 1, pp. 258–265, Vienna
2018
Seamless Integration of Machine Learning Contents in Mechatronics Curricula
M. Lemmen, M. Schmidt, J. Frochte
19th International Conference on Research and Education in Mechatronics (REM 2018), Delft
2016
Success Prediction System for Student Counseling Using Data Mining
I. Bernst, J. Frochte
8th International Conference on Knowledge Discovery and Information Retrieval (KDIR 2016), pp. 181–189, Porto
A Case Study on FMU as Co-Simulation Exchange Format for FEM Models
C. Kaufmann, J. Frochte
13th International Conference on Applied Computing 2016, pp. 11–18, Mannheim
On Learning Assistance Systems for Numerical Simulation
I. Bernst, C. Kaufmann, J. Frochte
International Journal on Computer Science and Information Systems, Vol. 11, pp. 115–133
2015
Influence of Plant Model Variants for the Automatic Optimisation of Control Parameters
P. Bouillon, M. Lemmen, J. Frochte
16th International Conference on Research and Education in Mechatronics (REM 2015), pp. 80–87, Bochum
Simulation- and Web-Based E-Learning in Engineering – Open Source Architecture and Didactic Issues
P. Bouillon, J. Frochte
16th International Conference on Research and Education in Mechatronics (REM 2015), pp. 127–134, Bochum
Learning Load Balancing for Simulation in Heterogeneous Systems
I. Bernst, C. Kaufmann, J. Frochte
12th International Conference on Applied Computing 2015, pp. 121–128, Greater Dublin
2014
An Approach for Secure Cloud Computing for FEM Simulation
C. Kaufmann, P. Bouillon, J. Frochte
11th International Conference on Applied Computing 2014, pp. 234–239
An Approach for Load Balancing for Simulation in Heterogeneous Distributed Systems using Simulation Data Mining
I. Bernst, P. Bouillon, C. Kaufmann, J. Frochte
11th International Conference on Applied Computing 2014, pp. 254–259
2013
Learning Overlap Optimization for Domain Decomposition Methods
S. Burrows, B. Stein, M. Völske, A. B. Martínez Torres, J. Frochte
17th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2013), LNAI, Vol. 7818, pp. 438–449, Gold Coast
2011
Simulation Data Mining for Supporting Bridge Design
S. Burrows, B. Stein, D. Wiesner, K. Müller, J. Frochte
Australasian Data Mining Conference (AusDM 2011), pp. 71–79, Ballarat
Evaluation and Adaptation of Techniques for Higher Index DAE with Respect to Real-Time Simulation
J. Frochte
ASIM 2011 Proceedings, Winterthur
Modelica Simulator Compatibility – Today and in Future
J. Frochte
8th International Modelica Conference, Linköping Electronic Conference Proceedings, pp. 812–818, Dresden
2010
A Numerical Method for a Nonlinear Spatial Population Model with a Continuous Delay
J. Frochte
International Conference of Numerical Analysis and Applied Mathematics 2010, AIP Conference Proceedings, Vol. 1281
2009
A Splitting Technique of Higher Order for the Navier-Stokes Equations
W. Heinrichs, J. Frochte
Journal of Computational and Applied Mathematics
2008
An Adaptive Higher Order Method in Time for Partial Integro-Differential Equations
J. Frochte
International Conference on Numerical Analysis and Applied Mathematics 2008, AIP Conference Proceedings, Vol. 1048
A Third Order Method for Convection-Diffusion Equations with a Delay Term
J. Frochte
ENUMATH 2007, Numerical Mathematics and Advanced Applications (Springer)
2006
A Hybrid LSFEM/FEM Technique for Time-Dependent Convection Dominated Equations
J. Frochte
WCCM 2006, Los Angeles
An Adaptive Operator Splitting of Higher Order for the Navier-Stokes Equations
W. Heinrichs, J. Frochte
ENUMATH 2005, Numerical Mathematics and Advanced Applications, pp. 871–879 (Springer)
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