Jitkomut Songsiri

19 papers B 1Misc 4Journal 10Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Stochastic EMS for Optimal 24/7 Carbon-Free Energy Operations. CoRR Natanon Tongamrak, Kannapha Amaruchkul, Wijarn Wangdee, Jitkomut Songsiri
2024	J	`jnl`	Developing a Thailand solar irradiance map using Himawari-8 satellite imageries and deep learning models. CoRR Suwichaya Suwanwimolkul, Natanon Tongamrak, Nuttamon Thungka, Naebboon Hoonchareon, Jitkomut Songsiri
2024	J	`jnl`	Large width penalization for neural network-based prediction interval estimation. CoRR Worachit Amnuaypongsa, Jitkomut Songsiri
2022	—	`conf`	An ICA-based framework for joint analysis of cognitive scores and MEG event-related fields. EMBC Poomipat Boonyakitanont, Ben Gabrielson, Irina Belyaeva, Parthan Olikkal, Jitkomut Songsiri, Yu-Ping Wang, Tony W. Wilson, Vince D. Calhoun, Julia M. Stephen, Tülay Adali
2022	J	`jnl`	Granger Causality Inference in EEG Source Connectivity Analysis: A State-Space Approach. IEEE Trans. Neural Networks Learn. Syst. Parinthorn Manomaisaowapak, Anawat Nartkulpat, Jitkomut Songsiri
2022	J	`jnl`	Joint learning of multiple Granger causal networks via non-convex regularizations: Inference of group-level brain connectivity. Neural Networks Parinthorn Manomaisaowapak, Jitkomut Songsiri
2021	J	`jnl`	Joint learning of multiple Granger causal networks via non-convex regularizations: Inference of group-level brain connectivity. CoRR Parinthorn Manomaisaowapak, Jitkomut Songsiri
2021	J	`jnl`	Post-Processing of NWP Forecasts Using Kalman Filtering With Operational Constraints for Day-Ahead Solar Power Forecasting in Thailand. IEEE Access Supachai Suksamosorn, Naebboon Hoonchareon, Jitkomut Songsiri
2020	J	`jnl`	A review of feature extraction and performance evaluation in epileptic seizure detection using EEG. Biomed. Signal Process. Control. Poomipat Boonyakitanont, Apiwat Lek-Uthai, Krisnachai Chomtho, Jitkomut Songsiri
2020	Misc	`conf`	Automatic Epileptic Seizure Onset-Offset Detection Based On CNN in Scalp EEG. ICASSP Poomipat Boonyakitanont, Apiwat Lek-Uthai, Jitkomut Songsiri
2020	J	`jnl`	Convex formulation for regularized estimation of structural equation models. Signal Process. Anupon Pruttiakaravanich, Jitkomut Songsiri
2020	Misc	`conf`	Learning A Common Granger Causality Network Using A Non-Convex Regularization. ICASSP Parinthorn Manomaisaowapak, Jitkomut Songsiri
2019	B	`conf`	Estimation of Granger Causality of State-Space Models using a Clustering with Gaussian Mixture Model. SMC Nattaporn Plub-in, Jitkomut Songsiri
2015	—	`conf`	Learning multiple granger graphical models via group fused lasso. ASCC Jitkomut Songsiri
2013	Misc	`conf`	Sparse autoregressive model estimation for learning granger causality in time series. ICASSP Jitkomut Songsiri
2012	—	`conf`	L1 norm of high frequency components as a regularization term for compressed sensing reconstruction of image signals. ISPACS Suwichaya Suwanwimolkul, Jitkomut Songsiri, Parichat Sermwuthisarn, Supatana Auethavekiat
2010	—	`ch.`	Graphical models of autoregressive processes. Convex Optimization in Signal Processing and Communications Jitkomut Songsiri, Joachim Dahl, Lieven Vandenberghe
2010	J	`jnl`	Topology Selection in Graphical Models of Autoregressive Processes. J. Mach. Learn. Res. Jitkomut Songsiri, Lieven Vandenberghe
2009	Misc	`conf`	Maximum-likelihood estimation of autoregressive models with conditional independence constraints. ICASSP Jitkomut Songsiri, Joachim Dahl, Lieven Vandenberghe