( en | de | ru )

 

Disambiguation of "Virgolin, Marco"

Author of the publication

copydeleteadd this publication to your clipboard
Interpretable Symbolic Regression for Data Science: Analysis of the 2022 Competition.

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

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Monika Marcotty

Johannes Marcour

Hans-Ernst Marcolin

Carlos Javier Marcos Navas

Massimiliano Marcon

 

Other publications of authors with the same name

Local Search is a Remarkably Strong Baseline for Neural Architecture Search., , , and . CoRR, (2020)DAISY: An Implementation of Five Core Principles for Transparent and Accountable Conversational AI., and . Int. J. Hum. Comput. Interact., 39 (9): 1856-1873 (May 2023)Improving Model-Based Genetic Programming for Symbolic Regression of Small Expressions., , , and . Evol. Comput., 29 (2): 211-237 (2021)An Analysis of the Ingredients for Learning Interpretable Symbolic Regression Models with Human-in-the-loop and Genetic Programming., , , , and . ACM Trans. Evol. Learn. Optim., 4 (1): 5:1-5:30 (March 2024)Symbolic regression and feature construction with GP-GOMEA applied to radiotherapy dose reconstruction of childhood cancer survivors., , , , and . GECCO, page 1395-1402. ACM, (2018)Scalable genetic programming by gene-pool optimal mixing and input-space entropy-based building-block learning., , , and . GECCO, page 1041-1048. ACM, (2017)Surrogate-free machine learning-based organ dose reconstruction for pediatric abdominal radiotherapy., , , , , , , , , and 4 other author(s). CoRR, (2020)On the robustness of sparse counterfactual explanations to adverse perturbations., and . Artif. Intell., (March 2023)Less is More: A Call to Focus on Simpler Models in Genetic Programming for Interpretable Machine Learning., , , and . CoRR, (2022)Coefficient mutation in the gene-pool optimal mixing evolutionary algorithm for symbolic regression., and . GECCO Companion, page 2289-2297. ACM, (2022)