Neural Processing Letters - 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.

Application of Meta-Heuristic Algorithms for Training Neural Networks and Deep Learning Architectures: A Comprehensive Review (this opens in a new tab), by Mehrdad Kaveh, Mohammad Saadi Mesgari

A Survey on Adversarial Domain Adaptation (this opens in a new tab), by Mahta HassanPour Zonoozi, Vahid Seydi

Application of Deep Learning Techniques in Diagnosis of Covid-19 (Coronavirus): A Systematic Review (this opens in a new tab), by Yogesh H. Bhosale, K. Sridhar Patnaik

Effectiveness of Federated Learning and CNN Ensemble Architectures for Identifying Brain Tumors Using MRI Images (this opens in a new tab), by Moinul Islam, Md. Tanzim Reza, Mohammed Kaosar, Mohammad Zavid Parvez

A Novel Vision Transformer Model for Skin Cancer Classification (this opens in a new tab), by Guang Yang, Suhuai Luo, Peter Greer

Graph-Based LSTM for Anti-money Laundering: Experimenting Temporal Graph Convolutional Network with Bitcoin Data (this opens in a new tab), by Ismail Alarab, Simant Prakoonwit

Transfer Learning with Ensembles of Deep Neural Networks for Skin Cancer Detection in Imbalanced Data Sets (this opens in a new tab), by Aqsa Saeed Qureshi, Teemu Roos

A New Time Series Forecasting Model Based on Complete Ensemble Empirical Mode Decomposition with Adaptive Noise and Temporal Convolutional Network (this opens in a new tab), by Chen Guo, Xumin Kang, Jianping Xiong, Jianhua Wu

Improving the Accuracy of Diabetes Diagnosis Applications through a Hybrid Feature Selection Algorithm (this opens in a new tab), by  Xiaohua Li, Jusheng Zhang, Fatemeh Safara

Attentional Gated Res2Net for Multivariate Time Series Classification (this opens in a new tab), by Chao Yang, Xianzhi Wang, Lina Yao, Guodong Long, Jing Jiang, Guandong Xu