High-dimensional supervised classification in a context of non-independence of observations to identify the determining SNPs in a phenotype. [PDF]
Gaye A +7 more
europepmc +1 more source
An automated pipeline for supervised classification of petal color from citizen science photographs. [PDF]
Perez-Udell RA, Udell AT, Chang SM.
europepmc +1 more source
Semi-Supervised Classification and Landscape Metrics for Mapping and Spatial Pattern Change Analysis of Tropical Forest Types in Thua Thien Hue Province, Vietnam [PDF]
Truong Thi Cat Tuong +3 more
openalex +1 more source
Classification methods based on deep learning require selecting between fully-supervised or weakly-supervised approaches, each presenting limitations in uncertainty quantification and interpretability.
Sebastian Medina +3 more
doaj +1 more source
Impact of Pre- and Post-Processing Steps for Supervised Classification of Colorectal Cancer in Hyperspectral Images. [PDF]
Tkachenko M +5 more
europepmc +1 more source
Semi-supervised Classification Based Mixed Sampling for Imbalanced Data
In practical application, there are a large amount of imbalanced data containing only a small number of labeled data. In order to improve the classification performance of this kind of problem, this paper proposes a semi-supervised learning algorithm ...
Zhao Jianhua, Liu Ning
doaj +1 more source
Semi-supervised method for sensitivity based documents’ classification for online service providers [PDF]
Sharaf J. Malebary, Shakeel Ahmad
openalex +1 more source
Inflammatory bowel disease (IBD) includes Crohn’s disease (CD) and ulcerative colitis (UC). The accurate classification of IBD from colonoscopy images is critical for diagnosis and treatment.
Kechen Lin +5 more
doaj +1 more source
Semi-Supervised Classification of PolSAR Images Based on Co-Training of CNN and SVM with Limited Labeled Samples. [PDF]
Zhao M, Cheng Y, Qin X, Yu W, Wang P.
europepmc +1 more source
Predicting HIV infection in the decade (2005-2015) pre-COVID-19 in Zimbabwe: A supervised classification-based machine learning approach. [PDF]
Birri Makota RB, Musenge E.
europepmc +1 more source

