| 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 | 82 | 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 | 18 | 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 | 9 | 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 | 6 | 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 | 6 | 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 | 4 | 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 | 3 | 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 | 2 | 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 | | 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 | | |
