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All submitted articles should report original, previously unpublished research results, experimental or theoretical, and will be peer-reviewed.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

Editor-in-Chief

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

01Effect of Drop and Rebuilt Operator for Solving the Biobjective Obnoxious p-algorithm for dealing with a special case related to 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 on 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]

04WHO-Hand Hygiene Gesture Classification System
Rashmi Bakshi

Abstract—The recent ongoing coronavirus pandemic has highlighted the importance of hand hygiene practices in our d [Click]

05A Look-Ahead operator as a Learning Strategy for Solving Bi-objective Scheduling Multiprocessor Tasks on Two Dedicated Processors
Fatma Zohra Baatout and Mhand Hifi

Abstract—In this paper, we solve the bi-objective scheduling problem on two dedicated processors with an evolution [Click]

06Realizing Blood Glucose Prediction by Convolutional Recurrent Neural Networks with Residual Blocks
Yuxi Zhang

Abstract—An advanced convolutional recurrent neural network architecture for forecasting blood glucose is proposed i [Click]

Most cited papers

01Effect of Drop and Rebuilt Operator for Solving the Biobjective Obnoxious p-algorithm for dealing with a special case related to 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 on 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]

What's New

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