International Journal of Machine Learning and Cybernetics - Top 10 Downloaded Articles 2023

We want to thank the authors of our most-downloaded articles in 2023, and highlight to our readers some of the most impactful research to have been published in the journal. We hope that you will find the articles interesting.

A survey on federated learning: challenges and applications (this opens in a new tab), by Jie Wen, Zhixia Zhang, Yang Lan, Zhihua Cui, Jianghui Cai, Wensheng Zhang

Data augmentation in natural language processing: a novel text generation approach for long and short text classifiers (this opens in a new tab), by Markus Bayer et al.

Tuning of data augmentation hyperparameters in deep learning to building construction image classification with small datasets (this opens in a new tab), by André Luiz C. Ottoni, Raphael M. de Amorim, Marcela S. Novo, Dayana B. Costa

A survey of multi-label classification based on supervised and semi-supervised learning (this opens in a new tab), by Meng Han, Hongxin Wu, Zhiqiang Chen, Muhang Li, Xilong Zhang

RNON: image inpainting via repair network and optimization network (this opens in a new tab), by Yuantao Chen, Runlong Xia, Ke Zou, Kai Yang

A unified approach to designing sequence-based personalized food recommendation systems: tackling dynamic user behaviors (this opens in a new tab), by Jieyu Zhang, Zidong Wang, Weibo Liu, Xiaohui Liu, Qiusheng Zheng

SecureFed: federated learning empowered medical imaging technique to analyze lung abnormalities in chest X-rays (this opens in a new tab), by Aaisha Makkar, KC Santosh

Learning positioning policies for mobile manipulation operations with deep reinforcement learning (this opens in a new tab), by Ander Iriondo et al.

Multilevel hybrid accurate handcrafted model for myocardial infarction classification using ECG signals (this opens in a new tab), by Prabal Datta Barua et al.

A novel metaheuristic optimisation approach for text sentiment analysis (this opens in a new tab), by Ali Hosseinalipour, Reza Ghanbarzadeh