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

Compressing Quaternion Convolutional Neural Networks for Audio Classification

Abstract: Conventional Convolutional Neural Networks (CNNs) in the real domain have been widely used for audio classification. However, CNNs have limited ability to capture correlations across ...
Scientific Research Publishing

Zhang, X., Zhao, J. and LeCun, Y. (2015) Character-Level Convolutional Networks for Text Classification.

ABSTRACT: This study presents a comparative analysis of two distinct machine learning approaches for multilingual text identification: character-level neural networks (CNN/RNN) and traditional Naive ...
Scientific Research Publishing

Zhang, X., Zhao, J.B. and LeCun, Y. (2015) Character-Level Convolutional Networks for Text Classification.

ABSTRACT: Since transformer-based language models were introduced in 2017, they have been shown to be extraordinarily effective across a variety of NLP tasks including but not limited to language ...
Frontiers

Automated classification of midpalatal suture maturation using 2D convolutional neural networks on CBCT scans

Accurate assessment of midpalatal suture (MPS) maturation is critical in orthodontics, particularly for planning treatment strategies in patients with maxillary transverse deficiency (MTD). Although ...
IEEE

Learning laws for deep convolutional neural networks with guaranteed convergence

Abstract: Convolutional Neural Networks (CNNs) have shown remarkable success across numerous tasks such as image classification, yet the theoretical understanding of their convergence remains ...