Kammerer, Lukas
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2

Symbolic Regression with Fast Function Extraction and Nonli..:

, In: Computer Aided Systems Theory – EUROCAST 2022; Lecture Notes in Computer Science,
 
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3

Empirical analysis of variance for genetic programming base..:

, In: Proceedings of the Genetic and Evolutionary Computation Conference Companion,
 
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4

Identification of Dynamical Systems Using Symbolic Regressi..:

, In: Computer Aided Systems Theory – EUROCAST 2019; Lecture Notes in Computer Science,
 
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5

Symbolic Regression by Exhaustive Search: Reducing the Sear..:

, In: Genetic Programming Theory and Practice XVII; Genetic and Evolutionary Computation,
 
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6

Data Aggregation for Reducing Training Data in Symbolic Reg..:

, In: Computer Aided Systems Theory – EUROCAST 2019; Lecture Notes in Computer Science,
 
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7

Hash-Based Tree Similarity and Simplification in Genetic Pr..:

, In: Computer Aided Systems Theory – EUROCAST 2019; Lecture Notes in Computer Science,
 
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8

Cluster Analysis of a Symbolic Regression Search Space:

, In: Genetic and Evolutionary Computation; Genetic Programming Theory and Practice XVI,
 
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9

Confidence-based ensemble modeling in medical data mining:

, In: Proceedings of the Genetic and Evolutionary Computation Conference Companion,
Kammerer, Lukas ; Affenzeller, Michael - p. 163-164 , 2018
 
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