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Disambiguation of "Kommenda, Michael"

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Interpretable Symbolic Regression for Data Science: Analysis of the 2022 Competition.

, , , , , , , , , , , , , , , , , , , , , , , and . CoRR, (2023)

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Michael Krug

X-ray crystallographic analysis of the archaeal transcriptional regulator TrmB and development of a graphical user interface for the monochromatic diffraction data processing software XDS. Uni Konstanz, (2009)

Michael Bernateck

Komplexes Regionales Schmerzsyndrom Typ 1 (M.Sudeck): neue Aspekte zur Symptomatologie, Pathogenese, Diagnostik und Therapie. MedH Hannover, habilitation, (2009)

Michael Bode

Le groupe international de sociétés: le système de conflit de lois en droit comparé français et allemand. HU Berlin, (2009)

Michael Liecke

Subnationale Clusterpolitik: die Biotechnologiepolitik deutscher Länder im Vergleich. Uni München, (2009)

Michael Schoierer

NS-Diktatur, Anomie und Demokratisierung Westdeutschlands. Uni Augsburg, (2007)
 

Other publications of authors with the same name

Operon C++: an efficient genetic programming framework for symbolic regression., , and . GECCO Companion, page 1562-1570. ACM, (2020)Evolution of Covariance Functions for Gaussian Process Regression Using Genetic Programming., and . EUROCAST (1), volume 8111 of Lecture Notes in Computer Science, page 308-315. Springer, (2013)Predicting Calibration Parameter Values for Constitutive Models using Genetic Programming., , , and . CoRR, (2021)Understanding and Preparing Data of Industrial Processes for Machine Learning Applications., , and . CoRR, (2021)Vectorial Genetic Programming - Optimizing Segments for Feature Extraction., , , and . CoRR, (2023)Dynamics of Predictability and Variable Influences Identified in Financial Data Using Sliding Window Machine Learning., , , , and . EUROCAST, volume 9520 of Lecture Notes in Computer Science, page 326-333. Springer, (2015)Robust Fuzzy Modeling and Symbolic Regression for Establishing Accurate and Interpretable Prediction Models in Supervising Tribological Systems., , , , , , , and . IJCCI (FCTA), page 51-63. SciTePress, (2016)Interpretable Symbolic Regression for Data Science: Analysis of the 2022 Competition., , , , , , , , , and 14 other author(s). CoRR, (2023)Shape-Constrained Symbolic Regression - Improving Extrapolation with Prior Knowledge., , , , and . Evol. Comput., 30 (1): 75-98 (2022)Optimization Networks for Integrated Machine Learning., , , , , , and . EUROCAST (1), volume 10671 of Lecture Notes in Computer Science, page 392-399. Springer, (2017)