Computational Biology | Deep Learning | Survival analysis Efficient Training of Probabilistic Neural Networks for Survival Analysis. June 21, 2024
Chemistry | Materials Science | Physics Correcting systematic errors in diffraction data with modern scaling algorithms. August 16, 2023
Biochemistry | Biophysics A unifying Bayesian framework for merging X-ray diffraction data. December 15, 2022
Cardiology | Radiology DragNet: Learning-based deformable registration for realistic cardiac MR sequence generation from a single frame. November 20, 2022
Machine Fault Diagnosis | Mechanical Engineering Variational Attention-Based Interpretable Transformer Network for Rotary Machine Fault Diagnosis. September 12, 2022
Bioinformatics | Genomics Effective and scalable single-cell data alignment with non-linear canonical correlation analysis. December 6, 2021
Bioinformatics | Genomics | Machine Learning A representation learning model based on variational inference and graph autoencoder for predicting lncRNA-disease associations. March 22, 2021
Asset Management | Prognostics and Health Management Systems A Deep Adversarial Approach Based on Multi-Sensor Fusion for Semi-Supervised Remaining Useful Life Prognostics. January 2, 2020