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:
The famine of forte: Few search problems greatly favor your algorithm
George D. Montañez
2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC) (2017)
Open Access | Times Cited: 16
George D. Montañez
2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC) (2017)
Open Access | Times Cited: 16
Showing 16 citing articles:
An Information-Theoretic Perspective on Overfitting and Underfitting
Daniel Bashir, George D. Montañez, Sonia Sehra, et al.
Lecture notes in computer science (2020), pp. 347-358
Open Access | Times Cited: 37
Daniel Bashir, George D. Montañez, Sonia Sehra, et al.
Lecture notes in computer science (2020), pp. 347-358
Open Access | Times Cited: 37
Assessing, Testing and Estimating the Amount of Fine-Tuning by Means of Active Information
Daniel Andrés Díaz–Pachón, Ola Hössjer
Entropy (2022) Vol. 24, Iss. 10, pp. 1323-1323
Open Access | Times Cited: 11
Daniel Andrés Díaz–Pachón, Ola Hössjer
Entropy (2022) Vol. 24, Iss. 10, pp. 1323-1323
Open Access | Times Cited: 11
Limits of Transfer Learning
Jake Williams, Abel Tadesse, Tyler Sam, et al.
Lecture notes in computer science (2020), pp. 382-393
Closed Access | Times Cited: 13
Jake Williams, Abel Tadesse, Tyler Sam, et al.
Lecture notes in computer science (2020), pp. 382-393
Closed Access | Times Cited: 13
Correcting prevalence estimation for biased sampling with testing errors
Lili Zhou, Daniel Andrés Díaz–Pachón, Chen Zhao, et al.
Statistics in Medicine (2023) Vol. 42, Iss. 26, pp. 4713-4737
Open Access | Times Cited: 4
Lili Zhou, Daniel Andrés Díaz–Pachón, Chen Zhao, et al.
Statistics in Medicine (2023) Vol. 42, Iss. 26, pp. 4713-4737
Open Access | Times Cited: 4
Causal Capabilities of Teleology and Teleonomy in Life and Evolution
Jonathan Bartlett
Organon F (2023) Vol. 30, Iss. 3, pp. 222-254
Open Access | Times Cited: 3
Jonathan Bartlett
Organon F (2023) Vol. 30, Iss. 3, pp. 222-254
Open Access | Times Cited: 3
The Futility of Bias-Free Learning and Search
George D. Montañez, Jonathan Hayase, Julius Lauw, et al.
Lecture notes in computer science (2019), pp. 277-288
Open Access | Times Cited: 8
George D. Montañez, Jonathan Hayase, Julius Lauw, et al.
Lecture notes in computer science (2019), pp. 277-288
Open Access | Times Cited: 8
Generalized Active Information: Extensions to Unbounded Domains
Robert Marks, Daniel Andrés Díaz–Pachón
BIO-Complexity (2020) Vol. 2020, Iss. 3
Open Access | Times Cited: 4
Robert Marks, Daniel Andrés Díaz–Pachón
BIO-Complexity (2020) Vol. 2020, Iss. 3
Open Access | Times Cited: 4
The Futility of Bias-Free Learning and Search
George D. Montañez, Jonathan Hayase, Julius Lauw, et al.
arXiv (Cornell University) (2019)
Closed Access | Times Cited: 1
George D. Montañez, Jonathan Hayase, Julius Lauw, et al.
arXiv (Cornell University) (2019)
Closed Access | Times Cited: 1
The Bias-Expressivity Trade-off
Julius Lauw, Dominique Macias, Akshay Trikha, et al.
arXiv (Cornell University) (2019)
Closed Access | Times Cited: 1
Julius Lauw, Dominique Macias, Akshay Trikha, et al.
arXiv (Cornell University) (2019)
Closed Access | Times Cited: 1
Trading Bias for Expressivity in Artificial Learning
George D. Montañez, Daniel Bashir, Julius Lauw
Lecture notes in computer science (2021), pp. 332-353
Closed Access | Times Cited: 1
George D. Montañez, Daniel Bashir, Julius Lauw
Lecture notes in computer science (2021), pp. 332-353
Closed Access | Times Cited: 1
Decomposable Probability-of-Success Metrics in Algorithmic Search
Tyler Sam, Jake Williams, Abel Tadesse, et al.
arXiv (Cornell University) (2020)
Open Access
Tyler Sam, Jake Williams, Abel Tadesse, et al.
arXiv (Cornell University) (2020)
Open Access
An Information-Theoretic Perspective on Overfitting and Underfitting
Daniel Bashir, George D. Montañez, Sonia Sehra, et al.
arXiv (Cornell University) (2020)
Closed Access
Daniel Bashir, George D. Montañez, Sonia Sehra, et al.
arXiv (Cornell University) (2020)
Closed Access
Bounding Generalization Error Through Bias and Capacity
Ramya Ramalingam, Nicolas Espinosa Dice, Megan L. Kaye, et al.
2022 International Joint Conference on Neural Networks (IJCNN) (2022), pp. 1-8
Closed Access
Ramya Ramalingam, Nicolas Espinosa Dice, Megan L. Kaye, et al.
2022 International Joint Conference on Neural Networks (IJCNN) (2022), pp. 1-8
Closed Access
Correcting prevalence estimation for biased sampling with testing errors
Lili Zhou, Daniel Andrés Díaz–Pachón, Chen Zhao, et al.
medRxiv (Cold Spring Harbor Laboratory) (2021)
Open Access
Lili Zhou, Daniel Andrés Díaz–Pachón, Chen Zhao, et al.
medRxiv (Cold Spring Harbor Laboratory) (2021)
Open Access
Hyperparameter Choice as Search Bias in AlphaZero
Eric Weiner, George D. Montañez, Aaron Trujillo, et al.
2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC) (2021), pp. 2389-2394
Closed Access
Eric Weiner, George D. Montañez, Aaron Trujillo, et al.
2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC) (2021), pp. 2389-2394
Closed Access
