Causal Inference | Observational Studies An encoding generative modeling approach to dimension reduction and covariate adjustment in causal inference with observational studies. May 29, 2024
Other MDSR-NMF: Multiple deconstruction single reconstruction deep neural network model for non-negative matrix factorization. October 11, 2023
Pathology Reduced Deep Convolutional Activation Features (R-DeCAF) in Histopathology Images to Improve the Classification Performance for Breast Cancer Diagnosis. August 2, 2023
Artificial Intelligence | Film Industry Analysis Towards Data-Driven Decision-Making in the Korean Film Industry: An XAI Model for Box Office Analysis Using Dimension Reduction, Clustering, and Classification. May 16, 2023
Dermatology | Pathology Effects of dimension reduction of hyperspectral images in skin gross pathology. February 24, 2023
Agricultural Science | Food Science | Imaging Science Hyperspectral dimension reduction and navel orange surface disease defect classification using independent component analysis-genetic algorithm. November 7, 2022
Data Analysis | Engineering An alternative approach to dimension reduction for pareto distributed data: a case study. March 2, 2021
Computational Neuroscience | Neuroscience Weakly correlated synapses promote dimension reduction in deep neural networks. February 19, 2021
Bioinformatics | Machine Learning | Oncology Diagnosis and classification of cancer using hybrid model based on ReliefF and convolutional neural network. January 28, 2020
Data Science | Machine Learning Local Deep-Feature Alignment for Unsupervised Dimension Reduction. July 11, 2018