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Explainable Landscape Analysis in Automated Algorithm Performance
  Prediction

Explainable Landscape Analysis in Automated Algorithm Performance Prediction

22 March 2022
R. Trajanov
Stefan Dimeski
Martin Popovski
Peter Korošec
T. Eftimov
ArXiv (abs)PDFHTML

Papers citing "Explainable Landscape Analysis in Automated Algorithm Performance Prediction"

4 / 4 papers shown
Title
Evolutionary Computation and Explainable AI: A Roadmap to Transparent
  Intelligent Systems
Evolutionary Computation and Explainable AI: A Roadmap to Transparent Intelligent Systems
Ryan Zhou
Jaume Bacardit
Alexander Brownlee
Stefano Cagnoni
Martin Fyvie
Giovanni Iacca
John Mccall
Niki van Stein
David Walker
Ting-Kuei Hu
102
1
0
12 Jun 2024
A Survey of Meta-features Used for Automated Selection of Algorithms for
  Black-box Single-objective Continuous Optimization
A Survey of Meta-features Used for Automated Selection of Algorithms for Black-box Single-objective Continuous Optimization
Gjorgjina Cenikj
Ana Nikolikj
Gašper Petelin
Niki van Stein
Carola Doerr
T. Eftimov
77
1
0
08 Jun 2024
Algorithm Instance Footprint: Separating Easily Solvable and Challenging
  Problem Instances
Algorithm Instance Footprint: Separating Easily Solvable and Challenging Problem Instances
Ana Nikolikj
Savso Dvzeroski
Mario Andrés Muñoz
Carola Doerr
Peter Korovsec
T. Eftimov
66
6
0
01 Jun 2023
Sensitivity Analysis of RF+clust for Leave-one-problem-out Performance
  Prediction
Sensitivity Analysis of RF+clust for Leave-one-problem-out Performance Prediction
Ana Nikolikj
Michal Pluhacek
Carola Doerr
Peter Korošec
T. Eftimov
49
3
0
30 May 2023
1