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OpenAlex Citation Counts

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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:

Efficient Hyperparameter Optimization for Convolution Neural Networks in Deep Learning: A Distributed Particle Swarm Optimization Approach
Yu Guo, Jian-Yu Li, Zhi‐Hui Zhan
Cybernetics & Systems (2020) Vol. 52, Iss. 1, pp. 36-57
Closed Access | Times Cited: 69

Showing 51-75 of 69 citing articles:

Convolution neural network hyperparameter optimization using modified particle swarm optimization
Muhammad Munsarif, Muhammad Sam’an, Andrian Fahrezi
Bulletin of Electrical Engineering and Informatics (2024) Vol. 13, Iss. 2, pp. 1268-1275
Open Access
Hyperparameters’ Optimization of Convolutional Neural Network Using Diversity-Guided Genetic Algorithms for Image Classification
Zenith Somani, S. Thangavelu
Lecture notes in networks and systems (2024), pp. 295-306
Closed Access
Sugarcane Disease Detection Using Data Augmentation
Abhishek Verma, Jagrati Singh
Advances in web technologies and engineering book series (2024), pp. 284-310
Closed Access
Optimizing MEMS Optical Arrays with Silicon Micro Mirrors using Machine Learning Techniques
Vilas Ramrao Joshi, Surender Kumar Sharma, Vijay Agatrao Galande, et al.
(2024), pp. 22-27
Closed Access
Nature‐Inspired Algorithms to Optimize the Hyper‐Parameters of Deep‐Learning Networks for Diagnosing Brain Disorders – A Review
Manoj Kumar Sharma, M. Shamim Kaiser, Kanad Ray
(2024), pp. 301-316
Closed Access
Optimization of model parameters and hyperparameters in deep learning models for spatial interaction prediction
Lin Liu, Xiaojing Cao, Hengsheng Wang, et al.
Expert Systems with Applications (2024), pp. 126160-126160
Closed Access
Maximizing CNN Accuracy: A Bayesian Optimization Approach with Gaussian Processes
Abed Al Raoof Bsoul, Moy’awiah A. Al-Shannaq, Hasan M. Aloqool
2022 8th International Conference on Control, Decision and Information Technologies (CoDIT) (2023), pp. 2597-2602
Closed Access | Times Cited: 1
Use of Optimised LSTM Neural Networks Pre-Trained With Synthetic Data to Estimate PV Generation
Miguel Martínez-Comesaña, Javier Martínez Martínez, Pablo Eguía, et al.
International Journal of Interactive Multimedia and Artificial Intelligence (2023) Vol. In press, Iss. In press, pp. 1-1
Open Access | Times Cited: 1
Hyperparameter Optimization for Convolutional Neural Networks using the Salp Swarm Algorithm
Entesar H. Abdulsaed, Maytham Alabbas, Raidah S. Khudeyer
Informatica (2023) Vol. 47, Iss. 9
Open Access | Times Cited: 1
U-net Model with Particle Swarm Optimization for Floating Raft Information Extraction
Yuanyue Liu, Jin Zhao, Jianchao Fan, et al.
(2023), pp. 459-462
Closed Access | Times Cited: 1
Model Optimisation Techniques for Convolutional Neural Networks
Sajid Nazir, Shushma Patel, Dilip Patel
Advances in computational intelligence and robotics book series (2022), pp. 269-298
Closed Access | Times Cited: 2
Optimization of Random Forest Hyperparameter Using Improved PSO for Handwritten Digits Classification
Atul Vikas Lakra, Sudarson Jena
Communications in computer and information science (2022), pp. 266-276
Closed Access | Times Cited: 2
Exploring the Effects of Caputo Fractional Derivative in Spiking Neural Network Training
Natabara Máté Gyöngyössy, Gábor Eros, János Botzheim
Electronics (2022) Vol. 11, Iss. 14, pp. 2114-2114
Open Access | Times Cited: 1
A parameter-optimization framework for neural decoding systems
Jing Xie, Rong Chen, Shuvra S. Bhattacharyya
Frontiers in Neuroinformatics (2023) Vol. 17
Open Access
A knowledge learning and random pruning-based memetic algorithm for user route planning in bike-sharing system
Ke-Jing Du, Jian-Yu Li, Hua Wang, et al.
Memetic Computing (2023) Vol. 15, Iss. 2, pp. 259-279
Closed Access
Hyperparameter Optimization of Graph Neural Networks for mRNA Degradation Prediction
Viktorija Vodilovska, Sonja Gievska, Ilinka Ivanoska
(2023), pp. 423-428
Closed Access
Convolutional neural networks optimized with an improved butterfly optimization algorithm for fault diagnosis
Yan Wang, Haowen Yu, Xinfa Wang, et al.
Research Square (Research Square) (2023)
Open Access
A Privacy-Preserving Evolutionary Computation Framework for Feature Selection
Bing Sun, Jian-Yu Li, Xiao-Fang Liu, et al.
Lecture notes in computer science (2023), pp. 260-274
Closed Access
A Method for Optimizing the Dwell Time of Optical Components in Magnetorheological Finishing Based on Particle Swarm Optimization
Bo Gao, Bin Fan, Jia Wang, et al.
Micromachines (2023) Vol. 15, Iss. 1, pp. 18-18
Open Access
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