Advances in Diffusion Models for Image Data Augmentation
You can find below (in arXiv format) our recent work on “Advances in Diffusion Models for Image Data Augmentation: A Review of Methods, Models, Evaluation Metrics and Future Research Directions”, authored by P. Alimisis, I. Mademlis, P. Radoglou-Grammatikis, P. Sarigiannidis and G. Th. Papadopoulos. Image data augmentation constitutes a critical methodology in modern computer vision […]
Neural natural language processing for long texts
You can find below our recently published work on “Neural natural language processing for long texts: A survey on classification and summarization”, accepted for publication at Elsevier Engineering Applications of Artificial Intelligence. The work comprises an introductory exploration to document analysis using modern Deep Neural Networks, addressing the primary challenges, concerns and existing solutions, while […]
