Jitkomut Songsiri
Orcid: 0000-0002-2715-8305
According to our database1,
Jitkomut Songsiri
authored at least 16 papers
between 2009 and 2024.
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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
Signal Process., 2020
A review of feature extraction and performance evaluation in epileptic seizure detection using EEG.
Biomed. Signal Process. Control., 2020
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020
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
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
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