3 papers
cs.CV2021
SELM: Siamese Extreme Learning Machine with Application to Face Biometrics
Wasu Kudisthalert, Kitsuchart Pasupa, Aythami Morales +1
Extreme Learning Machine is a powerful classification method very competitive existing classification methods. It is extremely fast at training. Nevertheless, it cannot perform fac…
eess.IV2020
Convolutional Neural Networks based Focal Loss for Class Imbalance Problem: A Case Study of Canine Red Blood Cells Morphology Classification
Kitsuchart Pasupa, Supawit Vatathanavaro, Suchat Tungjitnob
Morphologies of red blood cells are normally interpreted by a pathologist. It is time-consuming and laborious. Furthermore, a misclassified red blood cell morphology will lead to f…
q-bio.QM2019
Selection of a Minimal Number of Significant Porcine SNPs by an Information Gain and Genetic Algorithm Hybrid Model
Wanthanee Rathasamuth, Kitsuchart Pasupa, Sissades Tongsima
A panel of large number of common Single Nucleotide Polymorphisms (SNPs) distributed across an entire porcine genome has been widely used to represent genetic variability of pig. W…