Jitkomut Songsiri

According to our database, Jitkomut Songsiri authored at least 15 papers between 2009 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

Granger Causality Inference in EEG Source Connectivity Analysis: A State-Space Approach.

Parinthorn Manomaisaowapak, Anawat Nartkulpat, Jitkomut Songsiri

IEEE Trans. Neural Networks Learn. Syst., 2022

Joint learning of multiple Granger causal networks via non-convex regularizations: Inference of group-level brain connectivity.

Parinthorn Manomaisaowapak, Jitkomut Songsiri

Neural Networks, 2022

An ICA-based framework for joint analysis of cognitive scores and MEG event-related fields.

Poomipat Boonyakitanont, Ben Gabrielson, Irina Belyaeva, Parthan Olikkal, Jitkomut Songsiri, Yu-Ping Wang, Tony W. Wilson, Vince D. Calhoun, Julia M. Stephen, Tülay Adali

Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

2021

Post-Processing of NWP Forecasts Using Kalman Filtering With Operational Constraints for Day-Ahead Solar Power Forecasting in Thailand.

Supachai Suksamosorn, Naebboon Hoonchareon, Jitkomut Songsiri

IEEE Access, 2021

2020

Convex formulation for regularized estimation of structural equation models.

Anupon Pruttiakaravanich, Jitkomut Songsiri

Signal Process., 2020

A review of feature extraction and performance evaluation in epileptic seizure detection using EEG.

Poomipat Boonyakitanont, Apiwat Lek-Uthai, Krisnachai Chomtho, Jitkomut Songsiri

Biomed. Signal Process. Control., 2020

Learning A Common Granger Causality Network Using A Non-Convex Regularization.

Parinthorn Manomaisaowapak, Jitkomut Songsiri

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Automatic Epileptic Seizure Onset-Offset Detection Based On CNN in Scalp EEG.

Poomipat Boonyakitanont, Apiwat Lek-Uthai, Jitkomut Songsiri

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019

Estimation of Granger Causality of State-Space Models using a Clustering with Gaussian Mixture Model.

Nattaporn Plub-in, Jitkomut Songsiri

Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019

2015

Learning multiple granger graphical models via group fused lasso.

Jitkomut Songsiri

Proceedings of the 10th Asian Control Conference, 2015

2013

Sparse autoregressive model estimation for learning granger causality in time series.

Jitkomut Songsiri

Proceedings of the IEEE International Conference on Acoustics, 2013

2012

L1 norm of high frequency components as a regularization term for compressed sensing reconstruction of image signals.

Suwichaya Suwanwimolkul, Jitkomut Songsiri, Parichat Sermwuthisarn, Supatana Auethavekiat

Proceedings of the International Symposium on Intelligent Signal Processing and Communications Systems, 2012

2010

Topology Selection in Graphical Models of Autoregressive Processes.

Jitkomut Songsiri, Lieven Vandenberghe

J. Mach. Learn. Res., 2010

Graphical models of autoregressive processes.

Jitkomut Songsiri, Joachim Dahl, Lieven Vandenberghe

Proceedings of the Convex Optimization in Signal Processing and Communications., 2010

2009

Maximum-likelihood estimation of autoregressive models with conditional independence constraints.

Jitkomut Songsiri, Joachim Dahl, Lieven Vandenberghe

Proceedings of the IEEE International Conference on Acoustics, 2009