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ORCIDJitkomut Songsiri
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Journal Articles
- 2022
[j6]Parinthorn Manomaisaowapak
, Jitkomut Songsiri:
Joint learning of multiple Granger causal networks via non-convex regularizations: Inference of group-level brain connectivity. Neural Networks 149: 157-171 (2022)- [j5]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): 3146-3156 (2022) - 2021
- [j4]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: 105409-105423 (2021) - 2020
- [j3]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) - [j2]Anupon Pruttiakaravanich, Jitkomut Songsiri:
Convex formulation for regularized estimation of structural equation models. Signal Process. 166 (2020) - 2010
- [j1]Jitkomut Songsiri, Lieven Vandenberghe:
Topology Selection in Graphical Models of Autoregressive Processes. J. Mach. Learn. Res. 11: 2671-2705 (2010)
Conference and Workshop Papers
- 2022
- [c8]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: 3594-3598 - 2020
- [c7]Parinthorn Manomaisaowapak, Jitkomut Songsiri:
Learning A Common Granger Causality Network Using A Non-Convex Regularization. ICASSP 2020: 1160-1164 - [c6]Poomipat Boonyakitanont, Apiwat Lek-Uthai, Jitkomut Songsiri:
Automatic Epileptic Seizure Onset-Offset Detection Based On CNN in Scalp EEG. ICASSP 2020: 1225-1229 - 2019
- [c5]Nattaporn Plub-in, Jitkomut Songsiri:
Estimation of Granger Causality of State-Space Models using a Clustering with Gaussian Mixture Model. SMC 2019: 3853-3858 - 2015
- [c4]Jitkomut Songsiri:
Learning multiple granger graphical models via group fused lasso. ASCC 2015: 1-6 - 2013
- [c3]Jitkomut Songsiri:
Sparse autoregressive model estimation for learning granger causality in time series. ICASSP 2013: 3198-3202 - 2012
- [c2]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: 290-295 - 2009
- [c1]Jitkomut Songsiri, Joachim Dahl, Lieven Vandenberghe:
Maximum-likelihood estimation of autoregressive models with conditional independence constraints. ICASSP 2009: 1701-1704
Parts in Books or Collections
- 2010
- [p1]Jitkomut Songsiri, Joachim Dahl, Lieven Vandenberghe:
Graphical models of autoregressive processes. Convex Optimization in Signal Processing and Communications 2010: 89-116
Informal and Other Publications
- 2024
- [i2]Suwichaya Suwanwimolkul, Natanon Tongamrak, Nuttamon Thungka, Naebboon Hoonchareon, Jitkomut Songsiri:
Developing a Thailand solar irradiance map using Himawari-8 satellite imageries and deep learning models. CoRR abs/2409.16320 (2024) - 2021
- [i1]Parinthorn Manomaisaowapak, Jitkomut Songsiri:
Joint learning of multiple Granger causal networks via non-convex regularizations: Inference of group-level brain connectivity. CoRR abs/2105.07196 (2021)
Coauthor Index
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