From Text To Tables: Why Structured Data Is AI’s Next $600B Frontier

Tabular foundation models are the next major unlock for AI adoption, especially in industries sitting on massive databases of ...
IEEE

Text Classification Method Based on Self-Supervised Contrastive Learning

Abstract: In the task of text classification, the method based on large model has gradually replaced base model. However, in the case of insufficient computing resources, fine-tuning operations are ...
IEEE

A Hybrid Feature Extraction and Classification Framework for Depression Detection using Deep Learning and Machine Learning Techniques

Abstract: Depression is most common mental disorder that is affecting approximately 280 million individuals in the world. The stigma and lack of acceptance and awareness is still influencing people ...
IEEE

Deep Learning for Skin Cancer Detection: Multi-Class Lesion Classification Using CNN Architecture

Abstract: Skin cancer ranks among ubiquitous malignancies, its prevalence escalating due to ecological shifts and protracted ultraviolet (UV)exposure. This study aims to address the pressing need for ...
IEEE

Deep Learning Meets Traditional Machine Learning: CNN-SVM Hybrid Models for Parkinson's Diagnosis

Abstract: Parkinson's disease (PD) is a neurodegenerative disorder that needs early and accurate diagnosis for good management. Our approach in this study is to have a hybrid diagnostic framework ...
IEEE

Improving Text Classification with an Attention-Enhanced CNN-SVM Hybrid Model

Abstract: The approach we offer makes use of CNN, attention methods and SVM to develop a combined framework that reaches higher performance. Attention mechanisms and CNN networks are used by this ...
IEEE

Semantic Text Representation for Improved Machine Learning in Information Retrieval

Abstract: Information retrieval systems require rich semantic text representations to enhance machine learning performance in search tasks. In this study, we present a novel framework that leverages ...