Bioinformatics | Data Science | Machine Learning nPCA: a linear dimensionality reduction method using a multilayer perceptron. January 23, 2024
Computer Science | Data Science | Machine Learning Deep Kernel Principal Component Analysis for multi-level feature learning. December 5, 2023
Bioinformatics | Computational Biology | Structural Biology Structure-Aware Annotation of Leucine-rich Repeat Domains. November 14, 2023
Other Efficient Local Coherent Structure Learning via Self-Evolution Bipartite Graph. October 26, 2023
Bioinformatics | Ecology New deep learning-based methods for visualizing ecosystem properties using environmental DNA metabarcoding data. September 13, 2023
Oncology | Pathology Dimensionality reduction for deep learning in infrared microscopy: a comparative computational survey. September 13, 2023
Medical Imaging | Oncology | Radiology Prognosis prediction of patients with malignant pleural mesothelioma using conditional variational autoencoder on 3D PET images and clinical data. August 31, 2023
Materials Science | Physics Correlating metasurface spectra with a generation-elimination framework. August 12, 2023
Bioinformatics | Genomics BEENE: Deep Learning based Nonlinear Embedding Improves Batch Effect Estimation. August 10, 2023
Chemoinformatics | Toxicology Exploring Dimensionality Reduction Techniques for Deep Learning Driven QSAR Models of Mutagenicity. July 28, 2023
Neurology | Radiology Unsupervised band selection of medical hyperspectral images guided by data gravitation and weak correlation. July 28, 2023
Cardiology A novel transformer-based ECG dimensionality reduction stacked auto-encoders for arrhythmia beat detection. July 20, 2023