Sarun Paisarnsrisomsuk
Sarun Paisarnsrisomsuk
Lecturer, Faculty of Computer Engineering, Khon Kaen University
Verified email at
Cited by
Cited by
Deep learning for automated feature discovery and classification of sleep stages
M Sokolovsky, F Guerrero, S Paisarnsrisomsuk, C Ruiz, SA Alvarez
IEEE/ACM transactions on computational biology and bioinformatics 17 (6 …, 2019
Deep Sleep: Convolutional neural networks for predictive modeling of human sleep time-signals
S Paisarnsrisomsuk, M Sokolovsky, F Guerrero, C Ruiz, SA Alvarez
Proc. KDD Deep Learn. Day, 1-10, 2018
Improved deep learning classification of human sleep stages
S Paisarnsrisomsuk, C Ruiz, S Alvarez
2020 IEEE 33rd international symposium on computer-based medical systems …, 2020
Fast determination of total solids content (TSC) and dry rubber content (DRC) of para rubber latex using near-infrared spectroscopy
K Maraphum, P Wanjantuk, P Hanpinitsak, S Paisarnsrisomsuk, CH Lim, ...
Industrial Crops and Products 187, 115507, 2022
Human expert-level automated sleep stage prediction and feature discovery by deep convolutional neural networks
M Sokolovsky, F Guerrero, S Paisarnsrisomsuk, C Ruiz, SA Alvarez
Proceedings of the 17th International Workshop on Data Mining in …, 2018
Towards designing effective data persistence through tradeoff space analysis
C Tang, H Bagheri, S Paisarnsrisomsuk, K Sullivan
2017 IEEE/ACM 39th International Conference on Software Engineering …, 2017
Capturing the development of internal Representations in a High-Performing Deep Network for sleep stage classification
S Paisarnsrisomsuk, C Ruiz, SA Alvarez
SN Computer Science 2 (4), 318, 2021
Uct-enhanced deep convolutional neural network for move recommendation in go
S Paisarnsrisomsuk, P Wiratchotisatian
A Major Qualifying Project Report. Worcester Polytechnic Institute, 2015
Investigating the Efficacy of Data Mining Techniques for Crowdsourced Biological Datasets
I Regan, D Alkurdi, S Paisarnsrisomsuk, C Ruiz, EF Ryder, R Gegear
2019 IEEE MIT Undergraduate Research Technology Conference (URTC), 1-4, 2019
CAESAR: Context-Aware Event Stream Analytics for Urban Transportation Services.
O Poppe, C Lei, EA Rundensteiner, DJ Dougherty, G Deva, N Fajardo, ...
EDBT, 590-593, 2017
Flood damage in Bangkok: disaster or an opportunity for creative destruction
P Thongsawas
Flood damage in Bangkok Disaster or an opportunity for creative destruction
S Paisarnsrisomsuk, K Saeed, P Thongsawas, P Wiratchotisatian
The system can't perform the operation now. Try again later.
Articles 1–12