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Sarun Paisarnsrisomsuk
Sarun Paisarnsrisomsuk
Lecturer, Faculty of Computer Engineering, Khon Kaen University
Verified email at kku.ac.th
Title
Cited by
Cited by
Year
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
852019
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
192018
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
92020
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
72022
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
62018
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
52017
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
32021
Uct-enhanced deep convolutional neural network for move recommendation in go
S Paisarnsrisomsuk, P Wiratchotisatian
A Major Qualifying Project Report. Worcester Polytechnic Institute, 2015
22015
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
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
2017
Flood damage in Bangkok: disaster or an opportunity for creative destruction
P Thongsawas
WORCESTER POLYTECHNIC INSTITUTE, 2013
2013
Flood damage in Bangkok Disaster or an opportunity for creative destruction
S Paisarnsrisomsuk, K Saeed, P Thongsawas, P Wiratchotisatian
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