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:
Probabilistic Gradient Boosting Machines for Large-Scale Probabilistic Regression
Olivier Sprangers, Sebastian Schelter, Maarten de Rijke
(2021), pp. 1510-1520
Open Access | Times Cited: 25
Olivier Sprangers, Sebastian Schelter, Maarten de Rijke
(2021), pp. 1510-1520
Open Access | Times Cited: 25
Showing 25 citing articles:
A review of predictive uncertainty estimation with machine learning
Hristos Tyralis, Georgia Papacharalampous
Artificial Intelligence Review (2024) Vol. 57, Iss. 4
Open Access | Times Cited: 20
Hristos Tyralis, Georgia Papacharalampous
Artificial Intelligence Review (2024) Vol. 57, Iss. 4
Open Access | Times Cited: 20
Efficient data transmission on wireless communication through a privacy-enhanced blockchain process
Rajanikanth Aluvalu, Senthil Kumaran V. N., T. Manikandan, et al.
PeerJ Computer Science (2023) Vol. 9, pp. e1308-e1308
Open Access | Times Cited: 30
Rajanikanth Aluvalu, Senthil Kumaran V. N., T. Manikandan, et al.
PeerJ Computer Science (2023) Vol. 9, pp. e1308-e1308
Open Access | Times Cited: 30
Decomposing streamflow for improved river flow prediction accuracy of machine learning models
Mostafa Elkurdy, Andrew Binns, Bahram Gharabaghi
International Journal of River Basin Management (2025), pp. 1-16
Closed Access
Mostafa Elkurdy, Andrew Binns, Bahram Gharabaghi
International Journal of River Basin Management (2025), pp. 1-16
Closed Access
Improving National Forest Mapping in Romania Using Machine Learning and Sentinel-2 Multispectral Imagery
Mohamed Islam Keskes, Aya Hamed Mohamed, Stelian Alexandru Borz, et al.
Remote Sensing (2025) Vol. 17, Iss. 4, pp. 715-715
Open Access
Mohamed Islam Keskes, Aya Hamed Mohamed, Stelian Alexandru Borz, et al.
Remote Sensing (2025) Vol. 17, Iss. 4, pp. 715-715
Open Access
An adaptive multi-class imbalanced classification framework based on ensemble methods and deep network
Xuezheng Jiang, Junyi Wang, Qinggang Meng, et al.
Neural Computing and Applications (2023) Vol. 35, Iss. 15, pp. 11141-11159
Closed Access | Times Cited: 11
Xuezheng Jiang, Junyi Wang, Qinggang Meng, et al.
Neural Computing and Applications (2023) Vol. 35, Iss. 15, pp. 11141-11159
Closed Access | Times Cited: 11
Tropical Cyclone Intensity Probabilistic Forecasting System Based on Deep Learning
Fan Meng, Kun‐Lin Yang, Yichen Yao, et al.
International Journal of Intelligent Systems (2023) Vol. 2023, pp. 1-17
Open Access | Times Cited: 9
Fan Meng, Kun‐Lin Yang, Yichen Yao, et al.
International Journal of Intelligent Systems (2023) Vol. 2023, pp. 1-17
Open Access | Times Cited: 9
Probabilistic Machine Learning Methods for Fractional Brownian Motion Time Series Forecasting
Lyudmyla Kirichenko, Roman Lavrynenko
Fractal and Fractional (2023) Vol. 7, Iss. 7, pp. 517-517
Open Access | Times Cited: 8
Lyudmyla Kirichenko, Roman Lavrynenko
Fractal and Fractional (2023) Vol. 7, Iss. 7, pp. 517-517
Open Access | Times Cited: 8
Machine Learning Approaches for Insurance Pricing: A Case Study of Public Liability Coverage in Morocco
Rachid Ejjami -
International Journal For Multidisciplinary Research (2024) Vol. 6, Iss. 3
Open Access | Times Cited: 1
Rachid Ejjami -
International Journal For Multidisciplinary Research (2024) Vol. 6, Iss. 3
Open Access | Times Cited: 1
Walking motion real-time detection method based on walking stick, IoT, COPOD and improved LightGBM
Junyi Wang, Xuezheng Jiang, Qinggang Meng, et al.
Applied Intelligence (2022) Vol. 52, Iss. 14, pp. 16398-16416
Closed Access | Times Cited: 7
Junyi Wang, Xuezheng Jiang, Qinggang Meng, et al.
Applied Intelligence (2022) Vol. 52, Iss. 14, pp. 16398-16416
Closed Access | Times Cited: 7
A review of probabilistic forecasting and prediction with machine learning
Hristos Tyralis, Georgia Papacharalampous
arXiv (Cornell University) (2022)
Open Access | Times Cited: 5
Hristos Tyralis, Georgia Papacharalampous
arXiv (Cornell University) (2022)
Open Access | Times Cited: 5
TreeFlow: Going Beyond Tree-Based Parametric Probabilistic Regression
Patryk Wielopolski, Maciej Zięba
Frontiers in artificial intelligence and applications (2023)
Open Access | Times Cited: 2
Patryk Wielopolski, Maciej Zięba
Frontiers in artificial intelligence and applications (2023)
Open Access | Times Cited: 2
Different roads take me home: the nonlinear relationship between distance and flows during China’s Spring Festival
Xiaofan Luan, Hurex Paryzat, Jun Chu, et al.
Humanities and Social Sciences Communications (2024) Vol. 11, Iss. 1
Open Access
Xiaofan Luan, Hurex Paryzat, Jun Chu, et al.
Humanities and Social Sciences Communications (2024) Vol. 11, Iss. 1
Open Access
An In-Depth Comparison of Neural and Probabilistic Tree Models for Learning-to-rank
Haonan Tan, K. C. Yang, Hai-Tao Yu
Lecture notes in computer science (2024), pp. 468-476
Closed Access
Haonan Tan, K. C. Yang, Hai-Tao Yu
Lecture notes in computer science (2024), pp. 468-476
Closed Access
NodeFlow: Towards End-to-end Flexible Probabilistic Regression on Tabular Data
Patryk Wielopolski, Oleksii Furman, Maciej Zięba
(2024)
Open Access
Patryk Wielopolski, Oleksii Furman, Maciej Zięba
(2024)
Open Access
NodeFlow: Towards End-to-End Flexible Probabilistic Regression on Tabular Data
Patryk Wielopolski, Oleksii Furman, Maciej Zięba
Entropy (2024) Vol. 26, Iss. 7, pp. 593-593
Open Access
Patryk Wielopolski, Oleksii Furman, Maciej Zięba
Entropy (2024) Vol. 26, Iss. 7, pp. 593-593
Open Access
Harnessing Metaheuristics and Probabilistic Machine Learning for Uncertainty-Aware Bearing Capacity Estimation of Shallow Foundations
Laith Sadik, Pijush Samui, Suraparb Keawsawasvong, et al.
Transportation Infrastructure Geotechnology (2024) Vol. 12, Iss. 1
Closed Access
Laith Sadik, Pijush Samui, Suraparb Keawsawasvong, et al.
Transportation Infrastructure Geotechnology (2024) Vol. 12, Iss. 1
Closed Access
ProbSAINT: Probabilistic Tabular Regression for Used Car Pricing
Kiran Madhusudhanan, Gunnar Behrens, Maximilian Stubbemann, et al.
2021 IEEE International Conference on Big Data (Big Data) (2024), pp. 2179-2187
Closed Access
Kiran Madhusudhanan, Gunnar Behrens, Maximilian Stubbemann, et al.
2021 IEEE International Conference on Big Data (Big Data) (2024), pp. 2179-2187
Closed Access
Peer Review #1 of "Efficient data transmission on wireless communication through a privacy-enhanced blockchain process (v0.2)"
Rajanikanth Aluvalu, Senthil Kumaran, T. Manikandan, et al.
(2023)
Open Access
Rajanikanth Aluvalu, Senthil Kumaran, T. Manikandan, et al.
(2023)
Open Access
Peer Review #2 of "Efficient data transmission on wireless communication through a privacy-enhanced blockchain process (v0.2)"
Rajanikanth Aluvalu, Senthil Kumaran, T. Manikandan, et al.
(2023)
Open Access
Rajanikanth Aluvalu, Senthil Kumaran, T. Manikandan, et al.
(2023)
Open Access
Peer Review #1 of "Efficient data transmission on wireless communication through a privacy-enhanced blockchain process (v0.1)"
Rajanikanth Aluvalu, Senthil Kumaran, T. Manikandan, et al.
(2023)
Open Access
Rajanikanth Aluvalu, Senthil Kumaran, T. Manikandan, et al.
(2023)
Open Access
Peer Review #2 of "Efficient data transmission on wireless communication through a privacy-enhanced blockchain process (v0.1)"
Rajanikanth Aluvalu, Senthil Kumaran, T. Manikandan, et al.
(2023)
Open Access
Rajanikanth Aluvalu, Senthil Kumaran, T. Manikandan, et al.
(2023)
Open Access
Peer Review #3 of "Efficient data transmission on wireless communication through a privacy-enhanced blockchain process (v0.1)"
Rajanikanth Aluvalu, Senthil Kumaran, T. Manikandan, et al.
(2023)
Open Access
Rajanikanth Aluvalu, Senthil Kumaran, T. Manikandan, et al.
(2023)
Open Access
Stratification for the Improvement of the Performance of an ANN in Diabetes Detection
Darwin Patiño-Pérez, Felicísimo Iñiguez-Muñoz, Ángel Ochoa-Flores, et al.
(2023)
Open Access
Darwin Patiño-Pérez, Felicísimo Iñiguez-Muñoz, Ángel Ochoa-Flores, et al.
(2023)
Open Access
Ensemble Machine Learning Model Improves Prediction Accuracy for Academic Performance: A Comparative Study of Default ML VS Boosting Algorithm
Yagyanath Rimal, Navneet Sharma
(2023), pp. 1-7
Closed Access
Yagyanath Rimal, Navneet Sharma
(2023), pp. 1-7
Closed Access
Machine Learning models based in Supervised Learning for the Detection of Diabetes Mellitus in the City of Guayaquil
Darwin Patiño-Pérez, Felicisimo Iñiguez Muñoz, María Nivela Cornejo, et al.
Proceedings of the 2nd LACCEI International Multiconference on Entrepreneurship, Innovation and Regional Development (LEIRD 2022): “Exponential Technologies and Global Challenges: Moving toward a new culture of entrepreneurship and innovation for sustainable development” (2022)
Open Access
Darwin Patiño-Pérez, Felicisimo Iñiguez Muñoz, María Nivela Cornejo, et al.
Proceedings of the 2nd LACCEI International Multiconference on Entrepreneurship, Innovation and Regional Development (LEIRD 2022): “Exponential Technologies and Global Challenges: Moving toward a new culture of entrepreneurship and innovation for sustainable development” (2022)
Open Access
