AIMC Topic: Machine Learning

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A Machine Learning-Based Water Potability Prediction Model by Using Synthetic Minority Oversampling Technique and Explainable AI.

Computational intelligence and neuroscience
During the last few decades, the quality of water has deteriorated significantly due to pollution and many other issues. As a consequence of this, there is a need for a model that can make accurate projections about water quality. This work shows the...

A Multimodal Data Processing System for LiDAR-Based Human Activity Recognition.

IEEE transactions on cybernetics
Increasingly, the task of detecting and recognizing the actions of a human has been delegated to some form of neural network processing camera or wearable sensor data. Due to the degree to which the camera can be affected by lighting and wearable sen...

Multimodal Weibull Variational Autoencoder for Jointly Modeling Image-Text Data.

IEEE transactions on cybernetics
For multimodal representation learning, traditional black-box approaches often fall short of extracting interpretable multilayer hidden structures, which contribute to visualize the connections between different modalities at multiple semantic levels...

Type-2 Fuzzy Broad Learning System.

IEEE transactions on cybernetics
The broad learning system (BLS) has been identified as an important research topic in machine learning. However, the typical BLS suffers from poor robustness for uncertainties because of its characteristic of the deterministic representation. To over...

Progressive Self-Supervised Clustering With Novel Category Discovery.

IEEE transactions on cybernetics
These days, clustering is one of the most classical themes to analyze data structures in machine learning and pattern recognition. Recently, the anchor-based graph has been widely adopted to promote the clustering accuracy of plentiful graph-based cl...

CAMU: Cycle-Consistent Adversarial Mapping Model for User Alignment Across Social Networks.

IEEE transactions on cybernetics
The user alignment problem that establishes a correspondence between users across networks is a fundamental issue in various social network analyses and applications. Since symbolic representations of users suffer from sparsity and noise when computi...

Machine Learning Applications for the Development of a Questionnaire to Identify Sasang Constitution Typology.

International journal of environmental research and public health
Sasang constitutional medicine emphasizes personalized disease prevention and treatment and has been used in various fields. Nevertheless, more efforts are required to improve the validity and reliability of the Sasang analysis tools. Hence, this stu...

RetroComposer: Composing Templates for Template-Based Retrosynthesis Prediction.

Biomolecules
The main target of retrosynthesis is to recursively decompose desired molecules into available building blocks. Existing template-based retrosynthesis methods follow a template selection stereotype and suffer from limited training templates, which pr...

Ransomware detection using deep learning based unsupervised feature extraction and a cost sensitive Pareto Ensemble classifier.

Scientific reports
Ransomware attacks pose a serious threat to Internet resources due to their far-reaching effects. It's Zero-day variants are even more hazardous, as less is known about them. In this regard, when used for ransomware attack detection, conventional mac...

A Precision Health Service for Chronic Diseases: Development and Cohort Study Using Wearable Device, Machine Learning, and Deep Learning.

IEEE journal of translational engineering in health and medicine
This paper presents an integrated and scalable precision health service for health promotion and chronic disease prevention. Continuous real-time monitoring of lifestyle and environmental factors is implemented by integrating wearable devices, open e...