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Jitkomut Songsiri
Jitkomut Songsiri
Associate Professor of Electrical Engineering, Chulalongkorn University
Bestätigte E-Mail-Adresse bei chula.ac.th - Startseite
Titel
Zitiert von
Zitiert von
Jahr
A review of feature extraction and performance evaluation in epileptic seizure detection using EEG
P Boonyakitanont, A Lek-Uthai, K Chomtho, J Songsiri
Biomedical Signal Processing and Control 57, 101702, 2020
2582020
Critical comments on EEG sensor space dynamical connectivity analysis
F Van de Steen, L Faes, E Karahan, J Songsiri, PA Valdes-Sosa, ...
Brain topography 32, 643-654, 2019
1682019
Topology selection in graphical models of autoregressive processes
J Songsiri, L Vandenberghe
The Journal of Machine Learning Research 11, 2671-2705, 2010
1092010
CU-BEMS, smart building electricity consumption and indoor environmental sensor datasets
M Pipattanasomporn, G Chitalia, J Songsiri, C Aswakul, W Pora, ...
Scientific Data 7 (1), 241, 2020
742020
Graphical models of autoregressive processes.
J Songsiri, J Dahl, L Vandenberghe
Convex optimization in signal processing and communications, 89-116, 2010
722010
Sparse autoregressive model estimation for learning Granger causality in time series
J Songsiri
2013 IEEE International Conference on Acoustics, Speech and Signal …, 2013
272013
Missing-data imputation for solar irradiance forecasting in Thailand
V Layanun, S Suksamosorn, J Songsiri
2017 56th Annual Conference of the Society of Instrument and Control …, 2017
262017
A comparison of deep neural networks for seizure detection in EEG signals
P Boonyakitanont, A Lek-Uthai, K Chomtho, J Songsiri
BioRxiv, 702654, 2019
242019
Automatic epileptic seizure onset-offset detection based on CNN in scalp EEG
P Boonyakitanont, A Lek-Uthai, J Songsiri
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020
182020
Projection onto an ℓ 1-norm ball with application to identification of sparse autoregressive models
J Songsiri
Asean Symposium on Automatic Control (ASAC), 2011
182011
Granger causality inference in EEG source connectivity analysis: a state-space approach
P Manomaisaowapak, A Nartkulpat, J Songsiri
IEEE Transactions on Neural Networks and Learning Systems 33 (7), 3146-3156, 2021
142021
Dynamic models of a rotary double inverted pendulum system
P Pakdeepattarakorn, P Thamvechvitee, J Songsiri, M Wongsaisuwan, ...
2004 IEEE Region 10 Conference TENCON 2004. 500, 558-561, 2004
132004
Learning multiple granger graphical models via group fused lasso
J Songsiri
2015 10th Asian control conference (ASCC), 1-6, 2015
122015
Maximum-likelihood estimation of autoregressive models with conditional independence constraints
J Songsiri, J Dahl, L Vandenberghe
2009 IEEE International Conference on Acoustics, Speech and Signal …, 2009
102009
Convex formulation for regularized estimation of structural equation models
A Pruttiakaravanich, J Songsiri
Signal Processing 166, 107237, 2020
92020
Sparse system identification for discovering brain connectivity from fMRI time series
A Pongrattanakul, P Lertkultanon, J Songsiri
The SICE Annual Conference 2013, 949-954, 2013
82013
Alteration in the functional organization of the default mode network following closed non-severe traumatic brain injury
MR Abdul Rahman, AI Abd Hamid, NA Noh, H Omar, WJ Chai, Z Idris, ...
Frontiers in Neuroscience 16, 833320, 2022
72022
ScoreNet: a Neural network-based post-processing model for identifying epileptic seizure onset and offset in EEGs
P Boonyakitanont, A Lek-Uthai, J Songsiri
IEEE Transactions on Neural Systems and Rehabilitation Engineering 29, 2474-2483, 2021
72021
Post-processing of NWP forecasts using Kalman filtering with operational constraints for day-ahead solar power forecasting in Thailand
S Suksamosorn, N Hoonchareon, J Songsiri
IEEE Access 9, 105409-105423, 2021
72021
A comparison of deep neural networks for seizure detection in EEG signals. bioRxiv, 702654
P Boonyakitanont, A Lek-uthai, K Chomtho, J Songsiri
62019
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