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:
Shape-Constrained Symbolic Regression—Improving Extrapolation with Prior Knowledge
Gabriel Kronberger, Fabrício Olivetti de França, Bogdan Burlacu, et al.
Evolutionary Computation (2021) Vol. 30, Iss. 1, pp. 75-98
Open Access | Times Cited: 39
Gabriel Kronberger, Fabrício Olivetti de França, Bogdan Burlacu, et al.
Evolutionary Computation (2021) Vol. 30, Iss. 1, pp. 75-98
Open Access | Times Cited: 39
Showing 26-50 of 39 citing articles:
Machine and Deep Learning Performance in Out-of-Distribution Regressions
Assaf Shmuel, Oren Glickman, Teddy Lazebnik
Machine Learning Science and Technology (2024) Vol. 5, Iss. 4, pp. 045078-045078
Open Access
Assaf Shmuel, Oren Glickman, Teddy Lazebnik
Machine Learning Science and Technology (2024) Vol. 5, Iss. 4, pp. 045078-045078
Open Access
Using Shape Constraints for Improving Symbolic Regression Models
Christian Haider, Fabrício Olivetti de França, Bogdan Burlacu, et al.
arXiv (Cornell University) (2021)
Open Access | Times Cited: 3
Christian Haider, Fabrício Olivetti de França, Bogdan Burlacu, et al.
arXiv (Cornell University) (2021)
Open Access | Times Cited: 3
Comparing Shape-Constrained Regression Algorithms for Data Validation
Florian Bachinger, Gabriel Kronberger
Lecture notes in computer science (2022), pp. 147-154
Open Access | Times Cited: 2
Florian Bachinger, Gabriel Kronberger
Lecture notes in computer science (2022), pp. 147-154
Open Access | Times Cited: 2
Shape-Constrained Symbolic Regression with NSGA-III
Christian Haider, Gabriel Kronberger
Lecture notes in computer science (2022), pp. 164-172
Open Access | Times Cited: 2
Christian Haider, Gabriel Kronberger
Lecture notes in computer science (2022), pp. 164-172
Open Access | Times Cited: 2
Improving the Flexibility of Shape-Constrained Symbolic Regression with Extended Constraints
David Piringer, Ştefan Wagner, Christian Haider, et al.
Lecture notes in computer science (2022), pp. 155-163
Closed Access | Times Cited: 1
David Piringer, Ştefan Wagner, Christian Haider, et al.
Lecture notes in computer science (2022), pp. 155-163
Closed Access | Times Cited: 1
Knowledge-integrated AutoEncoder Model
Teddy Lazebnik, Liron Simon-Keren
arXiv (Cornell University) (2023)
Open Access
Teddy Lazebnik, Liron Simon-Keren
arXiv (Cornell University) (2023)
Open Access
Editorial: Reflecting on Thirty Years ofECJ
Kenneth De Jong, Emma Hart
Evolutionary Computation (2023) Vol. 31, Iss. 2, pp. 73-79
Closed Access
Kenneth De Jong, Emma Hart
Evolutionary Computation (2023) Vol. 31, Iss. 2, pp. 73-79
Closed Access
Fighting Underspecification in Symbolic Regression with Fitness Sharing
Fabrício Olivetti de França
(2023), pp. 551-554
Closed Access
Fabrício Olivetti de França
(2023), pp. 551-554
Closed Access
Evolving Deformable Mirror Control to Generate Partially Coherent Light Fields
Daniel Younis, Thomas M. Antonsen, L. A. Johnson, et al.
(2023), pp. 2429-2437
Open Access
Daniel Younis, Thomas M. Antonsen, L. A. Johnson, et al.
(2023), pp. 2429-2437
Open Access
Symbolic Regression as Feature Engineering Method for Machine and Deep Learning Regression Tasks
Assaf Shmuel, Oren Glickman, Teddy Lazebnik
arXiv (Cornell University) (2023)
Open Access
Assaf Shmuel, Oren Glickman, Teddy Lazebnik
arXiv (Cornell University) (2023)
Open Access
Building Surrogate Models by Integrating Limited Simulation Data and Shape Prior Knowledge Via Adaptive Gradient Sampling Strategy
Hui Long, Jia Hao, Wenbin Ye, et al.
(2023)
Closed Access
Hui Long, Jia Hao, Wenbin Ye, et al.
(2023)
Closed Access
Does Kaizen Programming need a physic-informed mechanism to improve the search?
Jimena Ferreira, Ana I. Torres, Martín Pedemonte
(2023), pp. 1-6
Closed Access
Jimena Ferreira, Ana I. Torres, Martín Pedemonte
(2023), pp. 1-6
Closed Access
