( en | de | ru )

 

Disambiguation of "Nikolikj, Ana"

Author of the publication

copydeleteadd this publication to your clipboard
Identifying minimal set of Exploratory Landscape Analysis features for reliable algorithm performance prediction.

, , , , and . CEC, page 1-8. IEEE, (2022)

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.

Ana Hanstedt

Beurteilung der Entwicklungskompetenz boviner Oozyten aus Follikeln mit unterschiedlicher Durchblutung der Follikelwand. TierH Hannover, (2009)

Ana-Sun ana Smith

Ana Markovi

Experimental and theoretical analysis of the mass transport through porous glass membranes with different pore diameters. Uni Magdeburg, (2009)

Rein Anari

Ziya anal

 

Other publications of authors with the same name

Instance Selection for Dynamic Algorithm Configuration with Reinforcement Learning: Improving Generalization., , , , , and . GECCO Companion, page 563-566. ACM, (2024)Quantifying Individual and Joint Module Impact in Modular Optimization Frameworks., , , , and . CEC, page 1-8. IEEE, (2024)A Survey of Meta-features Used for Automated Selection of Algorithms for Black-box Single-objective Continuous Optimization., , , , , and . CoRR, (2024)Explaining Differential Evolution Performance Through Problem Landscape Characteristics., , , and . BIOMA, volume 13627 of Lecture Notes in Computer Science, page 99-113. Springer, (2022)Sensitivity Analysis of RF+clust for Leave-One-Problem-Out Performance Prediction., , , , and . CEC, page 1-8. IEEE, (2023)Comparing Solvability Patterns of Algorithms across Diverse Problem Landscapes., and . GECCO Companion, page 143-146. ACM, (2024)Improving Nevergrad's Algorithm Selection Wizard NGOpt Through Automated Algorithm Configuration., , , , , , , , and . PPSN (1), volume 13398 of Lecture Notes in Computer Science, page 18-31. Springer, (2022)Identifying minimal set of Exploratory Landscape Analysis features for reliable algorithm performance prediction., , , , and . CEC, page 1-8. IEEE, (2022)Generalization Ability of Feature-Based Performance Prediction Models: A Statistical Analysis Across Benchmarks., , , , and . CEC, page 1-8. IEEE, (2024)RF+clust for Leave-One-Problem-Out Performance Prediction., , and . EvoApplications@EvoStar, volume 13989 of Lecture Notes in Computer Science, page 285-301. Springer, (2023)