Jitkomut Songsiri
Jitkomut Songsiri
Lecturer of Electrical Engineering, Chulalongkorn University
Verified email at chula.ac.th - Homepage
Cited by
Cited by
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 (4), 643-654, 2019
Topology selection in graphical models of autoregressive processes
J Songsiri, L Vandenberghe
The Journal of Machine Learning Research 11, 2671-2705, 2010
Graphical models of autoregressive processes.
J Songsiri, J Dahl, L Vandenberghe
Convex optimization in signal processing and communications, 89-116, 2010
Sparse autoregressive model estimation for learning Granger causality in time series
J Songsiri
2013 IEEE International Conference on Acoustics, Speech and Signal …, 2013
Projection onto an ℓ1-norm Ball with Application to Identification of Sparse Autoregressive Models
J Songsiri
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
Learning multiple granger graphical models via group fused lasso
J Songsiri
2015 10th Asian Control Conference (ASCC), 1-6, 2015
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
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
Dynamic models of servo-driven conveyor system
J Songsiri, D Banjerdpongchai
2004 IEEE Region 10 Conference TENCON 2004. 500, 538-541, 2004
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
Convex formulation for regularized estimation of structural equation models
A Pruttiakaravanich, J Songsiri
Signal Processing 166, 107237, 2020
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
A Review on Dependence Measures in Exploring Brain Networks from fMRI Data
A Pruttiakaravanich, J Songsiri
Engineering Journal 20 (3), 207-233, 2016
A Comparison of Deep Neural Networks for Seizure Detection in EEG Signals
P Boonyakitanont, A Lek-uthai, K Chomtho, J Songsiri
bioRxiv, 702654, 2019
State-space model estimation of EEG time series for classifying active brain sources
N Plub-in, J Songsiri
2018 11th Biomedical Engineering International Conference (BMEiCON), 1-5, 2018
Guaranteed stability of autoregressive models with Granger causality learned from Wald tests
N Raksasri, J Songsiri
Engineering Journal 21 (6), 23-36, 2017
A convex formulation for path analysis in structural equation modeling
A Pruttiakaravanich, J Songsiri
2016 55th Annual Conference of the Society of Instrument and Control …, 2016
Graphical Models of Time Series: Parameter Estimation and Topology Selection
J Songsiri
University of California, Los Angeles, 2010
Estimation of Granger Causality of State-Space Models using a Clustering with Gaussian Mixture Model
N Plub-in, J Songsiri
2019 IEEE International Conference on Systems, Man and Cybernetics (SMC …, 2019
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