Researchers co-develop new deep learning platform to advance precision medicine

Researchers from Marshall University and the University of Missouri have developed G2PDeep, an innovative web-based platform ...
Scientific Research Publishing

Applying Deep Learning Techniques for Automated Analysis and Interpretation of Financial Statements ()

Multimodal Learning, Deep Learning, Financial Statement Analysis, LSTM, FinBERT, Financial Text Mining, Automated Interpretation, Financial Analytics Share and Cite: Wandwi, G. and Mbekomize, C. (2025 ...
Modern Engineering Marvels on MSN

How a dropout mastered PhD-level AI with ChatGPT

For Gabriel Petersson, the path to becoming a research scientist at OpenAI didn’t start in a lecture hall but began with a ...
Scientific Research Publishing

Boutell, M.R., Luo, J., Shen, X. and Brown, C.M. (2004) Learning Multi-Label Scene Classification. Pattern Recognition, 37, 1757-1771.

ABSTRACT: A binary complete decision table with many-valued decisions is a table with n attributes and 2 n pairwise distinct rows filled with numbers from the set { 0,1 } . Each row of this table is ...
IEEE

Multi-Label Classification On Aerial Images Using Deep Learning Techniques

Abstract: The one of the main problems in multi-label aerial image classification is remote sensing (RS) or aerial images understanding it increases interest in some of the research domains.
Frontiers

BrainTumNet: multi-task deep learning framework for brain tumor segmentation and classification using adaptive masked transformers

Background and objective: Accurate diagnosis of brain tumors significantly impacts patient prognosis and treatment planning. Traditional diagnostic methods primarily rely on clinicians’ subjective ...
Frontiers

Automatic joint segmentation and classification of breast ultrasound images via multi-task learning with object contextual attention

The segmentation and classification of breast ultrasound (BUS) images are crucial for the early diagnosis of breast cancer and remain a key focus in BUS image processing. Numerous machine learning and ...
C&EN

Attention-Enhanced Multi-Task Deep Learning Model for Classification and Segmentation of Esophageal Lesions

Pathophysiology Department, School of Basic Medical Sciences, Zhengzhou University, Zhengzhou 450001, China Tianjian Laboratory of Advanced Biomedical Sciences, Zhengzhou University, Zhengzhou, Henan ...
IEEE

Reliable Representation Learning for Incomplete Multi-View Missing Multi-Label Classification

Abstract: As a cross-topic of multi-view learning and multi-label classification, multi-view multi-label classification has gradually gained traction in recent years. The application of multi-view ...