OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!
If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.
Requested Article:
Trajectory-based Algorithm Selection with Warm-starting
Anja Jankovič, Diederick Vermetten, Ana Kostovska, et al.
2022 IEEE Congress on Evolutionary Computation (CEC) (2022), pp. 1-8
Open Access | Times Cited: 7
Anja Jankovič, Diederick Vermetten, Ana Kostovska, et al.
2022 IEEE Congress on Evolutionary Computation (CEC) (2022), pp. 1-8
Open Access | Times Cited: 7
Showing 7 citing articles:
BBOB Instance Analysis: Landscape Properties and Algorithm Performance Across Problem Instances
Fu Xing Long, Diederick Vermetten, Bas van Stein, et al.
Lecture notes in computer science (2023), pp. 380-395
Open Access | Times Cited: 8
Fu Xing Long, Diederick Vermetten, Bas van Stein, et al.
Lecture notes in computer science (2023), pp. 380-395
Open Access | Times Cited: 8
On the Utility of Probing Trajectories for Algorithm-Selection
Quentin Renau, Emma Hart
Lecture notes in computer science (2024), pp. 98-114
Closed Access | Times Cited: 2
Quentin Renau, Emma Hart
Lecture notes in computer science (2024), pp. 98-114
Closed Access | Times Cited: 2
Temporal True and Surrogate Fitness Landscape Analysis for Expensive Bi-Objective Optimisation
Cedric J. Rodriguez, Sarah L. Thomson, Tanja Alderliesten, et al.
Proceedings of the Genetic and Evolutionary Computation Conference (2024), pp. 23-31
Open Access | Times Cited: 1
Cedric J. Rodriguez, Sarah L. Thomson, Tanja Alderliesten, et al.
Proceedings of the Genetic and Evolutionary Computation Conference (2024), pp. 23-31
Open Access | Times Cited: 1
Improving Algorithm-Selectors and Performance-Predictors via Learning Discriminating Training Samples
Quentin Renau, Emma Hart
Proceedings of the Genetic and Evolutionary Computation Conference (2024), pp. 1026-1035
Closed Access | Times Cited: 1
Quentin Renau, Emma Hart
Proceedings of the Genetic and Evolutionary Computation Conference (2024), pp. 1026-1035
Closed Access | Times Cited: 1
Identifying Easy Instances to Improve Efficiency of ML Pipelines for Algorithm-Selection
Quentin Renau, Emma Hart
Lecture notes in computer science (2024), pp. 70-86
Closed Access
Quentin Renau, Emma Hart
Lecture notes in computer science (2024), pp. 70-86
Closed Access
Location, Size, and Capacity
Abdul Hanif Abdul Halim, Swagatam Das, Idris Ismail
Emergence, complexity and computation (2024), pp. 1-152
Closed Access
Abdul Hanif Abdul Halim, Swagatam Das, Idris Ismail
Emergence, complexity and computation (2024), pp. 1-152
Closed Access
Towards optimisers that `Keep Learning'
Emma Hart, Ian Miguel, Christopher Stone, et al.
(2023), pp. 1636-1638
Open Access | Times Cited: 1
Emma Hart, Ian Miguel, Christopher Stone, et al.
(2023), pp. 1636-1638
Open Access | Times Cited: 1
