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:
Design of the 2015 ChaLearn AutoML challenge
Isabelle Guyon, Kristin P. Bennett, Gavin C. Cawley, et al.
2022 International Joint Conference on Neural Networks (IJCNN) (2015), pp. 1-8
Closed Access | Times Cited: 121
Isabelle Guyon, Kristin P. Bennett, Gavin C. Cawley, et al.
2022 International Joint Conference on Neural Networks (IJCNN) (2015), pp. 1-8
Closed Access | Times Cited: 121
Showing 26-50 of 121 citing articles:
A brief Review of the ChaLearn AutoML Challenge: Any-time Any-dataset Learning without Human Intervention
Isabelle Guyon, Imad Chaabane, Hugo Jair Escalante, et al.
HAL (Le Centre pour la Communication Scientifique Directe) (2016)
Closed Access | Times Cited: 56
Isabelle Guyon, Imad Chaabane, Hugo Jair Escalante, et al.
HAL (Le Centre pour la Communication Scientifique Directe) (2016)
Closed Access | Times Cited: 56
An Automated Machine Learning architecture for the accelerated prediction of Metal-Organic Frameworks performance in energy and environmental applications
Ioannis Tsamardinos, George S. Fanourgakis, Elissavet Greasidou, et al.
Microporous and Mesoporous Materials (2020) Vol. 300, pp. 110160-110160
Closed Access | Times Cited: 49
Ioannis Tsamardinos, George S. Fanourgakis, Elissavet Greasidou, et al.
Microporous and Mesoporous Materials (2020) Vol. 300, pp. 110160-110160
Closed Access | Times Cited: 49
CRISPRcasIdentifier: Machine learning for accurate identification and classification of CRISPR-Cas systems
Victor Alexandre Padilha, Omer S. Alkhnbashi, Shiraz A. Shah, et al.
GigaScience (2020) Vol. 9, Iss. 6
Open Access | Times Cited: 47
Victor Alexandre Padilha, Omer S. Alkhnbashi, Shiraz A. Shah, et al.
GigaScience (2020) Vol. 9, Iss. 6
Open Access | Times Cited: 47
Systematic comparison of semi-supervised and self-supervised learning for medical image classification
Zhe Huang, Ruijie Jiang, Shuchin Aeron, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2024) Vol. 13, pp. 22282-22293
Closed Access | Times Cited: 4
Zhe Huang, Ruijie Jiang, Shuchin Aeron, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2024) Vol. 13, pp. 22282-22293
Closed Access | Times Cited: 4
Enhancing predictive modeling across industries with automated machine learning: applications in insurance and agriculture
K. P. Swain, Sumant Kumar Mohapatra, Santosh Kumar Sahoo
Discover Sustainability (2025) Vol. 6, Iss. 1
Open Access
K. P. Swain, Sumant Kumar Mohapatra, Santosh Kumar Sahoo
Discover Sustainability (2025) Vol. 6, Iss. 1
Open Access
Automated Refinement of Property-Specific Polarizable Gaussian Multipole Water Models Using Bayesian Black-Box Optimization
Yongxian Wu, Qiang Zhu, Zhen Huang, et al.
Journal of Chemical Theory and Computation (2025)
Closed Access
Yongxian Wu, Qiang Zhu, Zhen Huang, et al.
Journal of Chemical Theory and Computation (2025)
Closed Access
Ablate, Variate, and Contemplate: Visual Analytics for Discovering Neural Architectures
Dylan Cashman, Adam Perer, Remco Chang, et al.
IEEE Transactions on Visualization and Computer Graphics (2019) Vol. 26, Iss. 1, pp. 863-873
Open Access | Times Cited: 37
Dylan Cashman, Adam Perer, Remco Chang, et al.
IEEE Transactions on Visualization and Computer Graphics (2019) Vol. 26, Iss. 1, pp. 863-873
Open Access | Times Cited: 37
Automated Machine Learning with Monte-Carlo Tree Search
Herilalaina Rakotoarison, Marc Schoenauer, Michèle Sébag
(2019), pp. 3296-3303
Open Access | Times Cited: 34
Herilalaina Rakotoarison, Marc Schoenauer, Michèle Sébag
(2019), pp. 3296-3303
Open Access | Times Cited: 34
A Combined Solution for Real-Time Travel Mode Detection and Trip Purpose Prediction
Elton Soares, Kate Revoredo, Fernanda Baião, et al.
IEEE Transactions on Intelligent Transportation Systems (2019) Vol. 20, Iss. 12, pp. 4655-4664
Closed Access | Times Cited: 30
Elton Soares, Kate Revoredo, Fernanda Baião, et al.
IEEE Transactions on Intelligent Transportation Systems (2019) Vol. 20, Iss. 12, pp. 4655-4664
Closed Access | Times Cited: 30
A Continuous Cuffless Blood Pressure Estimation Using Tree-Based Pipeline Optimization Tool
Suliman Mohamed Fati, Amgad Muneer, Nur Arifin Akbar, et al.
Symmetry (2021) Vol. 13, Iss. 4, pp. 686-686
Open Access | Times Cited: 24
Suliman Mohamed Fati, Amgad Muneer, Nur Arifin Akbar, et al.
Symmetry (2021) Vol. 13, Iss. 4, pp. 686-686
Open Access | Times Cited: 24
Deep Learning in the Wild
Thilo Stadelmann, Mohammadreza Amirian, Ismail Arabaci, et al.
Lecture notes in computer science (2018), pp. 17-38
Closed Access | Times Cited: 30
Thilo Stadelmann, Mohammadreza Amirian, Ismail Arabaci, et al.
Lecture notes in computer science (2018), pp. 17-38
Closed Access | Times Cited: 30
A User‐based Visual Analytics Workflow for Exploratory Model Analysis
Dylan Cashman, Shah Rukh Humayoun, Florian Heimerl, et al.
Computer Graphics Forum (2019) Vol. 38, Iss. 3, pp. 185-199
Open Access | Times Cited: 26
Dylan Cashman, Shah Rukh Humayoun, Florian Heimerl, et al.
Computer Graphics Forum (2019) Vol. 38, Iss. 3, pp. 185-199
Open Access | Times Cited: 26
Detection and Classification of Unannounced Physical Activities and Acute Psychological Stress Events for Interventions in Diabetes Treatment
Mohammad Reza Askari, Mahmoud Abdel-Latif, Mudassir Rashid, et al.
Algorithms (2022) Vol. 15, Iss. 10, pp. 352-352
Open Access | Times Cited: 14
Mohammad Reza Askari, Mahmoud Abdel-Latif, Mudassir Rashid, et al.
Algorithms (2022) Vol. 15, Iss. 10, pp. 352-352
Open Access | Times Cited: 14
Mapping of Dwellings in IDP/Refugee Settlements from Very High-Resolution Satellite Imagery Using a Mask Region-Based Convolutional Neural Network
Getachew Workineh Gella, L. Wendt, Stefan Lang, et al.
Remote Sensing (2022) Vol. 14, Iss. 3, pp. 689-689
Open Access | Times Cited: 12
Getachew Workineh Gella, L. Wendt, Stefan Lang, et al.
Remote Sensing (2022) Vol. 14, Iss. 3, pp. 689-689
Open Access | Times Cited: 12
TPOT-SH: A Faster Optimization Algorithm to Solve the AutoML Problem on Large Datasets
Laurent Parmentier, Olivier Nicol, Laetitia Jourdan, et al.
(2019), pp. 471-478
Closed Access | Times Cited: 19
Laurent Parmentier, Olivier Nicol, Laetitia Jourdan, et al.
(2019), pp. 471-478
Closed Access | Times Cited: 19
Towards AutoML in the presence of Drift: first results
Jorge G. Madrid, Hugo Jair Escalante, Eduardo F. Morales, et al.
arXiv (Cornell University) (2019)
Open Access | Times Cited: 18
Jorge G. Madrid, Hugo Jair Escalante, Eduardo F. Morales, et al.
arXiv (Cornell University) (2019)
Open Access | Times Cited: 18
Deep Learning Modeling of the Limit Order Book: A Comparative Perspective
Antonio Briola, Jeremy Turiel, Tomaso Aste
SSRN Electronic Journal (2020)
Open Access | Times Cited: 17
Antonio Briola, Jeremy Turiel, Tomaso Aste
SSRN Electronic Journal (2020)
Open Access | Times Cited: 17
A minimalistic toolbox for extracting features from sport activity files
Iztok Fister, Luka Lukač, Alen Rajšp, et al.
(2021), pp. 000121-000126
Closed Access | Times Cited: 14
Iztok Fister, Luka Lukač, Alen Rajšp, et al.
(2021), pp. 000121-000126
Closed Access | Times Cited: 14
Automated machine learning with dynamic ensemble selection
Xiaoyan Zhu, Jingtao Ren, Jiayin Wang, et al.
Applied Intelligence (2023) Vol. 53, Iss. 20, pp. 23596-23612
Closed Access | Times Cited: 5
Xiaoyan Zhu, Jingtao Ren, Jiayin Wang, et al.
Applied Intelligence (2023) Vol. 53, Iss. 20, pp. 23596-23612
Closed Access | Times Cited: 5
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
Searching for Machine Learning Pipelines Using a Context-Free Grammar
Radu Marinescu, Akihiro Kishimoto, Parikshit Ram, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2021) Vol. 35, Iss. 10, pp. 8902-8911
Open Access | Times Cited: 13
Radu Marinescu, Akihiro Kishimoto, Parikshit Ram, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2021) Vol. 35, Iss. 10, pp. 8902-8911
Open Access | Times Cited: 13
Evolution of Scikit-Learn Pipelines with Dynamic Structured Grammatical Evolution
Filipe Assunção, Nuno Lourenço, Bernardete Ribeiro, et al.
Lecture notes in computer science (2020), pp. 530-545
Closed Access | Times Cited: 13
Filipe Assunção, Nuno Lourenço, Bernardete Ribeiro, et al.
Lecture notes in computer science (2020), pp. 530-545
Closed Access | Times Cited: 13
A Scalable and Automated Machine Learning Framework to Support Risk Management
Luís Ferreira, André Pilastri, Carlos Martins, et al.
Lecture notes in computer science (2021), pp. 291-307
Closed Access | Times Cited: 12
Luís Ferreira, André Pilastri, Carlos Martins, et al.
Lecture notes in computer science (2021), pp. 291-307
Closed Access | Times Cited: 12
Analysis of the Complexity of the Automatic Pipeline Generation Problem
Unai Garciarena, Roberto Santana, Alexander Mendiburu
2022 IEEE Congress on Evolutionary Computation (CEC) (2018), pp. 1-8
Closed Access | Times Cited: 13
Unai Garciarena, Roberto Santana, Alexander Mendiburu
2022 IEEE Congress on Evolutionary Computation (CEC) (2018), pp. 1-8
Closed Access | Times Cited: 13
