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MLAIJ 2025 : Machine Learning and Applications: An International Journal | |||||||||||||||
Link: https://airccse.org/journal/mlaij/index.html | |||||||||||||||
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Call For Papers | |||||||||||||||
Machine Learning and Applications: An International Journal (MLAIJ) Citations, h-index, i10-index of MLAIJScope & TopicsMachine Learning and Applications: An International Journal (MLAIJ) is a quarterly open access peer-reviewed journal that publishes articles which contribute new results in all areas of the machine learning. The journal is devoted to the publication of high quality papers on theoretical and practical aspects of machine learning and applications.The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on machine learning advancements, and establishing new collaborations in these areas. Original research papers, state-of-the-art reviews are invited for publication in all areas of machine learning. Authors are solicited to contribute to the journal by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the areas of machine learning. Topics of interest include but are not limited to, the following
Paper SubmissionAuthors are invited to submit papers for this journal through E-mail: mlaijjournal@airccse.org or through Submission System. Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this Journal. Important Dates
Current IssueJune 2025, Volume 12, Number 2
Comparing Classifiers in the Presence of Errors in True Label Assignment in Medical Datasets Full Text March 2025, Volume 12, Number 1
Revolutionizing Big Data with AI-Driven Hybrid Soft Computing Techniques Full Text Understanding the Heterogeneous Impact of Remittances on Saving Behaviour in Uzbekistan: A Machine Learning Approach Full Text Cluster-Specific Propensity Score Weighting To Stabilize Treatment Effect Estimation Full Text Artificial Intelligence and Cloud Computing in Healthcare: Innovations and Impacts Full Text Artificial Intelligence Based Business Transformation Projects-the Role of Data Sciences in Mixed-Methods Patterns (RDSMMP) Full Text Estimating the Accuracy of a Bagged Ensemble Full Text Analyzing Fashion Trends Using Hierarchical Clustering and Temporal Analysis Full Text Quantile Regression with Q1/Q3 Anchoring: A Robust Alternative for Outlier-Resistant Modeling Full Text An Adaptive Hierarchical Tree-Based Clustering Approach to Outlier Detection in ETF-Focused Financial Time-Series Full Text Detection of Alzheimer’s Disease using Bidirectional LSTM and Attention Mechanisms Full Text Analysis of Unsupervised Clustering Algorithms and Impact of Dimensionality Reduction: A Data Driven Approach Full Text Editor In Chief
Associate Editor
Editorial Board Members
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