Home | News

29.08.2023

Tiny logo
Teaser image to MCML at FOGA 2023

MCML at FOGA 2023

One Accepted Paper

17th ACM/SIGEVO Conference on Foundations of Genetic Algorithms, Potsdam, Germany, Aug 30-Sep 01, 2023

We are happy to announce that MCML researchers have contributed a total of 1 paper to FOGA 2023. Congrats to our researchers!

Main Track (1 paper)

R. P. Prager • K. Dietrich • L. Schneider • L. Schäpermeier • B. Bischl • P. Kerschke • H. Trautmann • O. Mersmann
Neural Networks as Black-Box Benchmark Functions Optimized for Exploratory Landscape Features.
FOGA 2023 - 17th ACM/SIGEVO Conference on Foundations of Genetic Algorithms. Potsdam, Germany, Aug 30-Sep 01, 2023. DOI

#research #top-tier-work #bischl

Related

Tiny logo
Link to MCML at ICDAR 2026

28.08.2026

MCML at ICDAR 2026

MCML researchers are represented with 1 paper at ICDAR 2026.

Read more
Link to Transparency for global health aid

26.08.2026

Transparency for Global Health Aid

MCML PI Stefan Feuerriegel and his team use machine learning to uncover disparities in the global allocation of health aid.

Read more
Link to David Rügamer: We Need Uncertainty Quantification

25.08.2026

David Rügamer: We Need Uncertainty Quantification

MCML PI David Rügamer explains why uncertainty quantification is essential for building trustworthy AI and making informed decisions.

Read more
Link to Using Data Science to Personalize Depression Care

24.08.2026

Using Data Science to Personalize Depression Care

Five young researchers explore how data science can contribute to better healthcare as part of DSSGx Munich 2026, supported by MCML.

Read more
Tiny logo
Link to MCML at IJCAI-ECAI 2026

14.08.2026

MCML at IJCAI-ECAI 2026

MCML researchers are represented with 1 paper at IJCAI-ECAI 2026.

Read more
Back to Top