About IJML

Former Title: International Journal of Machine Learning and Computing (ISSN: 2010-3700)

International Journal of Machine Learning (IJML) is an international academic open access journal which gains a foothold in Singapore, Asia and opens to the world. It aims to promote the integration of machine learning. The focus is to publish papers on state-of-the-art machine learning. Submitted papers will be reviewed by technical committees of the Journal and Association. The audience includes researchers, managers and operators for machine learning and computing as well as designers and developers.

All submitted articles should report original, previously unpublished research results, experimental or theoretical, and will be peer-reviewed. Articles submitted to the journal should meet these criteria and must not be under consideration for publication elsewhere. Manuscripts should follow the style of the journal and are subject to both review and editing.

General Information

E-ISSN: 2972-368X
Abbreviated Title: Int. J. Mach. Learn.
Frequency: Quarterly
DOI: 10.18178/IJML
Editor-in-Chief: Dr. Lin Huang
Executive Editor: Ms. Cherry L. Chen
Abstracing/Indexing: Inspec (IET), Google Scholar, Crossref, ProQuest, Electronic Journals Library, CNKI.
E-mail: editor@ijml.org
APC: 500USD

Editor-in-Chief

Prof. Lin Huang

Metropolitan State University of Denver, USA

It's my honor to take on the position of editor in chief of IJML. We encourage authors to submit papers concerning any branch of machine learning.

Latest Articles

01ARTEC: Accelerated Reconstruction of High Angular Resolution Diffusion Imaging with Trajectory Error Correction

Abstract—Diffusion Magnetic Resonance Imaging (dMRI) isbeing increasingly used to study neural connectivity of brain [Click]

02A Binarized Feature Mapping Technique for Enhancing Squeeze-and-Excitation (SE) Channel Attention Mechanism

Abstract—Representing the weight in the network with only 1bit contributes to saving of the required memory footp [Click]

03SHA-ZA: Advanced Reinforcement Learning for Othello Mastery Using Proximal Policy Optimization

Abstract—This paper introduces SHA-ZA (StrategicHeuristic Agent with Zero-human Advancement), an advancedreinforcement [Click]

04Instance Selection for MI-Support Vector Machines

Abstract—Support Vector Machines (SVM) is a well-known algorithm in machine learning due to its superior performan [Click]

05Hybrid Deep Learning and Genetic Algorithm Approach for Detecting Keratoconus Using Corneal Tomography

Abstract—Nowadays, there are still significant challengesencountered in the accurate diagnosis of various eye diseas [Click]

Most cited papers

01Effect of Drop and Rebuilt Operator for Solving the Biobjective Obnoxious p-Median Problem

Méziane Aïder, Aida-Ilham Azzi, and Mhand Hifi*

Abstract—In this paper, we solve the bi-objective obnoxious with a population-based method The designed algorithm [Click]

02Relaxed Training Procedure for a Binary Neural Network

Jiazhen Xi and Hiroyuki Yamauchi*

Abstract—Binary neural networks (BNNs) have drawn much attention recently because they possess the most promising [Click]

03Application of Classification Methods in Forecasting Broadband Internet Subscribers Leaving the Network

Dong-Ho Le and Van-Dung Hoang*

Abstract—The cancellation of subscribers is always a matter of special concern for service providers in general a [Click]

2024 6th Asia Conference on Machine Learning and Computing

April 19-21, 2024Bangkok, Thailand
2023 International Conference on Image Processing and Machine Intelligence

February 25-27, 2023Singapore

30

Dec

Vol.12, No.4 has been published with online version.[Click]
22

Feb

The papers published in Vol.11, No.5-No.6 have all received dois from Crossref.[Click]
25

May

The papers published in Vol.12, No.1-No.5 have all received dois from Crossref.[Click]

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Frequently Asked Questions?

Q1. How to submit my research paper? What’s the process of publication of my paper?