Computer Vision | Medical Imaging | Ophthalmology Robust PCA with and Norms: A Novel Method for Low-Quality Retinal Image Enhancement. July 26, 2024
Neurology | Psychiatry Bidirectional Mapping with Contrastive Learning on Multimodal Neuroimaging Data. July 15, 2024
Computer Vision | Graphics Anisotropic Multi-Scale Graph Convolutional Network for Dense Shape Correspondence. August 25, 2023
Chemistry | Process Monitoring VAE-Based Interpretable Latent Variable Model for Process Monitoring. June 13, 2023
Data Science | Machine Learning Semi-supervised deep embedded clustering with pairwise constraints and subset allocation. May 10, 2023
Neurology | Psychiatry Signed graph representation learning for functional-to-structural brain network mapping. November 28, 2022
Neurology | Psychiatry A Hierarchical Graph Learning Model for Brain Network Regression Analysis. July 29, 2022
Data Science | Industrial Engineering Imputation of Missing Values in Time Series Using an Adaptive-Learned Median-Filled Deep Autoencoder. May 4, 2022
Neurology | Radiology DEEP MULTIMODAL BRAIN NETWORK LEARNING FOR JOINT ANALYSIS OF STRUCTURAL MORPHOMETRY AND FUNCTIONAL CONNECTIVITY. May 20, 2021
Chemical Engineering Supervised and semi-supervised probabilistic learning with deep neural networks for concurrent process-quality monitoring. January 14, 2021
Industrial Process Control A Deep Supervised Learning Framework for Data-Driven Soft Sensor Modeling of Industrial Processes. December 27, 2019
Industrial Process Control A Layer-Wise Data Augmentation Strategy for Deep Learning Networks and Its Soft Sensor Application in an Industrial Hydrocracking Process. December 16, 2019