About IJML

Former Title: International Journal of Machine Learning (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All submitted articles should report original, previously unpublished research results, experimental or theoretical, and will be peer-reviewed.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

  • ISSN: 
  • Abbreviated Title: Int. J. Mach. Learn.
  • Frequency: Bimonthly
  • 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

01Segmented Soft Pneumatic Bending Actuator with Artificial Neural Network for Parameter Prediction
Mark Joseph B. Enojas and Manuel C. Ramos Jr.

Abstract—Most of the models of soft robotic gloves can do flexion and extension However, there are other hand [Click]

02Performance Impact of Minority Class Reweighting on XGBoost-based Anomaly Detection
Altan Allawala, Anand Ramteke, and Pavan Wadhwa

Abstract—This paper explores the impact of reweighting the minority class of an imbalanced fraud dataset on the [Click]

03Embeddings Methods for Next-Item and Last-Basket Session-Based Recommendations
Michail Salampasis, Theodosios Siomos, Alkiviadis Katsalis, Konstantinos Diamantaras, and Dimitrios Tektonidis

Abstract—In this paper we use two industry datasets and apply two embedding methods and their combination for de [Click]

04A Joint Multi-task Architecture for Document-level Aspect-based Sentiment Analysis in Vietnamese
Dang Van Thin, Lac Si Le, Hao Minh Nguyen, and Ngan Luu-Thuy Nguyen

Abstract—The increasing demands of e-commerce websites have caused a vast amount of opinions about Internet users [Click]

05New Discrete Metaheuristic Approach for Large Scale Problem
E. Songkroh and M. Anantathanavit

Abstract—Metaheuristic approaches have been widely used to solve large scale, complex global optimization problems [Click]

06Black Sigatoka Classification Using Convolutional Neural Networks
Cristian A. Escudero, Andrés F. Calvo, and Arley Bejarano

Abstract—In this paper we present a methodology for the automatic recognition of black Sigatoka in commercial ban [Click]

Most cited papers

01Segmented Soft Pneumatic Bending Actuator with Artificial Neural Network for Parameter Prediction
Mark Joseph B. Enojas and Manuel C. Ramos Jr.

Abstract—Most of the models of soft robotic gloves can do flexion and extension However, there are other hand [Click]

02Performance Impact of Minority Class Reweighting on XGBoost-based Anomaly Detection
Altan Allawala, Anand Ramteke, and Pavan Wadhwa

Abstract—This paper explores the impact of reweighting the minority class of an imbalanced fraud dataset on the [Click]

03Embeddings Methods for Next-Item and Last-Basket Session-Based Recommendations
Michail Salampasis, Theodosios Siomos, Alkiviadis Katsalis, Konstantinos Diamantaras, and Dimitrios Tektonidis

Abstract—In this paper we use two industry datasets and apply two embedding methods and their combination for de [Click]

04A Joint Multi-task Architecture for Document-level Aspect-based Sentiment Analysis in Vietnamese
Dang Van Thin, Lac Si Le, Hao Minh Nguyen, and Ngan Luu-Thuy Nguyen

Abstract—The increasing demands of e-commerce websites have caused a vast amount of opinions about Internet users [Click]

05New Discrete Metaheuristic Approach for Large Scale Problem
E. Songkroh and M. Anantathanavit

Abstract—Metaheuristic approaches have been widely used to solve large scale, complex global optimization problems [Click]

06Black Sigatoka Classification Using Convolutional Neural Networks
Cristian A. Escudero, Andrés F. Calvo, and Arley Bejarano

Abstract—In this paper we present a methodology for the automatic recognition of black Sigatoka in commercial ban [Click]

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