Frontiers

Semi-Supervised Learning with Foundation Models for Biomedical Data Analysis: Multimodality, Generative AI, and Clinical Adaptation

Biomedical data analysis has evolved rapidly from convolutional neural network-based systems toward transformer architectures and large-scale foundation ...
IEEE

Machine Learning Models Tailored to Resource-Constrained Environments, with a Focus on Data Preprocessing Techniques

Abstract: In the era of pervasive computing, machine learning (ML) is increasingly deployed on resource-constrained devices, such as smartphones, IoT devices, and edge nodes. This research explores ML ...
IEEE

AI-Enabled Autonomous Data Preprocessing: A Scalable Architecture for Intelligent Machine Learning Pipeline Management

Abstract: An artificial intelligence-based pre-processing system, developed for the machine learning domain, is used to predict what data analysis procedure will provide a higher quality result when ...