Jitkomut Songsiri

Orcid: 0000-0002-2715-8305

According to our database1, Jitkomut Songsiri authored at least 16 papers between 2009 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

On csauthors.net:

Bibliography

2024
Developing a Thailand solar irradiance map using Himawari-8 satellite imageries and deep learning models.
CoRR, 2024

2022
Granger Causality Inference in EEG Source Connectivity Analysis: A State-Space Approach.
IEEE Trans. Neural Networks Learn. Syst., 2022

Joint learning of multiple Granger causal networks via non-convex regularizations: Inference of group-level brain connectivity.
Neural Networks, 2022

An ICA-based framework for joint analysis of cognitive scores and MEG event-related fields.
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.
IEEE Access, 2021

2020
Convex formulation for regularized estimation of structural equation models.
Signal Process., 2020

A review of feature extraction and performance evaluation in epileptic seizure detection using EEG.
Biomed. Signal Process. Control., 2020

Learning A Common Granger Causality Network Using A Non-Convex Regularization.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Automatic Epileptic Seizure Onset-Offset Detection Based On CNN in Scalp EEG.
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.
Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019

2015
Learning multiple granger graphical models via group fused lasso.
Proceedings of the 10th Asian Control Conference, 2015

2013
Sparse autoregressive model estimation for learning granger causality in time series.
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.
Proceedings of the International Symposium on Intelligent Signal Processing and Communications Systems, 2012

2010
Topology Selection in Graphical Models of Autoregressive Processes.
J. Mach. Learn. Res., 2010

Graphical models of autoregressive processes.
Proceedings of the Convex Optimization in Signal Processing and Communications., 2010

2009
Maximum-likelihood estimation of autoregressive models with conditional independence constraints.
Proceedings of the IEEE International Conference on Acoustics, 2009


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