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Offspring Selection Genetic Algorithm Revisited: Improvements in Efficiency by Early Stopping Criteria in the Evaluation of Unsuccessful Individuals.

M. Affenzeller, B. Burlacu, S. Winkler, M. Kommenda, G. Kronberger, and S. Wagner. EUROCAST (1), volume 10671 of Lecture Notes in Computer Science, page 424-431. Springer, (2017)

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Dr. Michael Böhm University of Stuttgart

Multi-Stage Optimization for Long-Term Building Climate Operation with Seasonal Thermal StorageA. Rentz, M. Böhm, and O. Sawodny. 2023 IEEE 19th International Conference on Automation Science and Engineering (CASE), IEEE, (2023)

Michael Kölle University of Stuttgart

Efficient and Accurate Tree Detection from 3D Point Clouds through Paid CrowdsourcingM. Kölle, V. Walter, I. Shiller, and U. Sörgel. Preprint, (2023)

Univ. -Prof. Dr. Michael Pradel University of Stuttgart

That’s a Tough Call : Studying the Challenges of Call Graph Construction for WebAssemblyD. Lehmann, M. Thalakottur, F. Tip, and M. Pradel. ISSTA 2023 : Proceedings of the 32nd ACM SIGSOFT International Symposium on Software Testing and Analysis, page 892-903. New York, Association for Computing Machinery, (2023)

That’s a Tough Call : Studying the Challenges of Call Graph Construction for WebAssemblyD. Lehmann, M. Thalakottur, F. Tip, and M. Pradel. ISSTA 2023 : Proceedings of the 32nd ACM SIGSOFT International Symposium on Software Testing and Analysis, page 892-903. New York, Association for Computing Machinery, (2023)Beware of the Unexpected : Bimodal Taint AnalysisY. Chow, M. Schäfer, and M. Pradel. ISSTA 2023 : Proceedings of the 32nd ACM SIGSOFT International Symposium on Software Testing and Analysis, page 211-222. New York, Association for Computing Machinery, (2023)

Michael Schollenberger University of Stuttgart

CFD-based Studies of Propeller Sizing and Operation Settings for High-Lift Applications of Distributed PropulsionM. Firnhaber Beckers, M. Kern, M. Schollenberger, and T. Lutz. AIAA AVIATION 2023 Forum, page 3396. American Institute of Aeronautics and Astronautics, (2023)

Michael Neubauer University of Stuttgart

Reflection-based Prototyping Framework for OPC UA Servers for Companion SpecificationsM. Walker, C. Arnim, M. Neubauer, A. Lechler, O. Riedel, and A. Verl. 2023 IEEE International Conference on Industrial Technology (ICIT), (2023)

Other publications of authors with the same name

Robust Fuzzy Modeling and Symbolic Regression for Establishing Accurate and Interpretable Prediction Models in Supervising Tribological Systems.E. Lughofer, G. Kronberger, M. Kommenda, S. Saminger-Platz, A. Promberger, F. Nickel, S. Winkler, and M. Affenzeller. IJCCI (FCTA), page 51-63. SciTePress, (2016)Evolution of Covariance Functions for Gaussian Process Regression Using Genetic Programming.G. Kronberger, and M. Kommenda. EUROCAST (1), volume 8111 of Lecture Notes in Computer Science, page 308-315. Springer, (2013)Dynamics of Predictability and Variable Influences Identified in Financial Data Using Sliding Window Machine Learning.S. Winkler, G. Kronberger, M. Kommenda, S. Fink, and M. Affenzeller. EUROCAST, volume 9520 of Lecture Notes in Computer Science, page 326-333. Springer, (2015)Predicting friction system performance with symbolic regression and genetic programming with factor variables.G. Kronberger, M. Kommenda, A. Promberger, and F. Nickel. GECCO, page 1278-1285. ACM, (2018)Improving the Parsimony of Regression Models for an Enhanced Genetic Programming Process.A. Zavoianu, G. Kronberger, M. Kommenda, D. Zaharie, and M. Affenzeller. EUROCAST (1), volume 6927 of Lecture Notes in Computer Science, page 264-271. Springer, (2011)Optimization Networks for Integrated Machine Learning.M. Kommenda, J. Karder, A. Beham, B. Burlacu, G. Kronberger, S. Wagner, and M. Affenzeller. EUROCAST (1), volume 10671 of Lecture Notes in Computer Science, page 392-399. Springer, (2017)Nonlinear Least Squares Optimization of Constants in Symbolic Regression.M. Kommenda, M. Affenzeller, G. Kronberger, and S. Winkler. EUROCAST (1), volume 8111 of Lecture Notes in Computer Science, page 420-427. Springer, (2013)Application of Symbolic Regression on Blast Furnace and Temper Mill Datasets.M. Kommenda, G. Kronberger, C. Feilmayr, L. Schickmair, M. Affenzeller, S. Winkler, and S. Wagner. EUROCAST (1), volume 6927 of Lecture Notes in Computer Science, page 400-407. Springer, (2011)Similarity-Based Analysis of Population Dynamics in Genetic Programming Performing Symbolic Regression.S. Winkler, M. Affenzeller, B. Burlacu, G. Kronberger, M. Kommenda, and P. Fleck. GPTP, page 1-17. Springer, (2016)Knowledge Discovery through Symbolic Regression with HeuristicLab.G. Kronberger, S. Wagner, M. Kommenda, A. Beham, A. Scheibenpflug, and M. Affenzeller. ECML/PKDD (2), volume 7524 of Lecture Notes in Computer Science, page 824-827. Springer, (2012)