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All submitted articles should report original, previously unpublished research results, experimental or theoretical, and will be peer-reviewed.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: ijml@ejournal.net
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

01The Effect of Long Short-Term Memory Forecasting with Varied Time Frames

Abstract—This study explores the application of Long Short-Term Memory (LSTM) networks to predict the price of Bi [Click]

02Prediction of CD4 T-Lymphocyte Count via Machine Learning for HIV-positive Patients

Abstract—The World Health Organization recommends routine immunological and virologic monitoring for all patients wi [Click]

03Optimizing Neural Network Compilation via Adaptive Workflow with AutoTVM

Abstract—With the development of deep neural networks, network compilation plays as an important role for achievin [Click]

04A Neural Network-based Diabetes Self-Management Chatbot System

Abstract—The advances in mobile technology and naturallanguage processing have made chatbots suitable for personalhe [Click]

05Auxiliary Classifier Generative Antagonist Network for the Detection of Pneumonia

Abstract—Pneumonia is an inflammation of the lungs whichis caused by bacteria, viruses, mold, and less commonly b [Click]

06Custom Approach to the Cost Estimation of the Full Truckload Contracts for Short Routes

Abstract—Shipping of the goods is crucial for the development of the present economy The transportation may be [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

16

Jan

IJML adopts Article-by-Article Work Flow from 2024.[Click]
08

Oct

Vol.13, No.4 has been published with online version.[Click]
06

Jul

Vol.13, No.3 has been published with online version.[Click]

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Frequently Asked Questions?

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