Jitkomut Songsiri

Publication Activity (10 Years)

Years Active: 2009-2022
Publications (10 Years): 11

Top Topics

Epileptic Seizures

Kalman Filtering

Convex Formulation

Top Venues

Biomed. Signal Process. Control.

Publications

Parinthorn Manomaisaowapak, Jitkomut Songsiri
Joint learning of multiple Granger causal networks via non-convex regularizations: Inference of group-level brain connectivity. Neural Networks 149 (2022)
Parinthorn Manomaisaowapak, Anawat Nartkulpat, Jitkomut Songsiri
Granger Causality Inference in EEG Source Connectivity Analysis: A State-Space Approach. IEEE Trans. Neural Networks Learn. Syst. 33 (7) (2022)
Poomipat Boonyakitanont, Ben Gabrielson, Irina Belyaeva, Parthan Olikkal, Jitkomut Songsiri, Yu-Ping Wang, Tony W. Wilson, Vince D. Calhoun, Julia M. Stephen, Tülay Adali
An ICA-based framework for joint analysis of cognitive scores and MEG event-related fields. EMBC (2022)
Parinthorn Manomaisaowapak, Jitkomut Songsiri
Joint learning of multiple Granger causal networks via non-convex regularizations: Inference of group-level brain connectivity. CoRR (2021)
Supachai Suksamosorn, Naebboon Hoonchareon, Jitkomut Songsiri
Post-Processing of NWP Forecasts Using Kalman Filtering With Operational Constraints for Day-Ahead Solar Power Forecasting in Thailand. IEEE Access 9 (2021)
Poomipat Boonyakitanont, Apiwat Lek-Uthai, Krisnachai Chomtho, Jitkomut Songsiri
A review of feature extraction and performance evaluation in epileptic seizure detection using EEG. Biomed. Signal Process. Control. 57 (2020)
Anupon Pruttiakaravanich, Jitkomut Songsiri
Convex formulation for regularized estimation of structural equation models. Signal Process. 166 (2020)
Poomipat Boonyakitanont, Apiwat Lek-Uthai, Jitkomut Songsiri
Automatic Epileptic Seizure Onset-Offset Detection Based On CNN in Scalp EEG. ICASSP (2020)
Parinthorn Manomaisaowapak, Jitkomut Songsiri
Learning A Common Granger Causality Network Using A Non-Convex Regularization. ICASSP (2020)
Nattaporn Plub-in, Jitkomut Songsiri
Estimation of Granger Causality of State-Space Models using a Clustering with Gaussian Mixture Model. SMC (2019)
Jitkomut Songsiri
Learning multiple granger graphical models via group fused lasso. ASCC (2015)
Jitkomut Songsiri
Sparse autoregressive model estimation for learning granger causality in time series. ICASSP (2013)
Suwichaya Suwanwimolkul, Jitkomut Songsiri, Parichat Sermwuthisarn, Supatana Auethavekiat
L1 norm of high frequency components as a regularization term for compressed sensing reconstruction of image signals. ISPACS (2012)
Jitkomut Songsiri, Lieven Vandenberghe
Topology Selection in Graphical Models of Autoregressive Processes. J. Mach. Learn. Res. 11 (2010)
Jitkomut Songsiri, Joachim Dahl, Lieven Vandenberghe
Maximum-likelihood estimation of autoregressive models with conditional independence constraints. ICASSP (2009)