Maximum-likelihood estimation of autoregressive models with conditional independence constraints. - Jitkomut Songsiri; Joachim Dahl; Lieven Vandenberghe (ICASSP, 2009)

Graphical models of autoregressive processes. - Jitkomut Songsiri; Joachim Dahl; Lieven Vandenberghe (Convex Optimization in Signal Processing and Communications, 2010)

Topology Selection in Graphical Models of Autoregressive Processes. - Jitkomut Songsiri; Lieven Vandenberghe (J. Mach. Learn. Res., 2010)

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 (ISPACS, 2012)

Sparse autoregressive model estimation for learning granger causality in time series. - Jitkomut Songsiri (ICASSP, 2013)

Learning multiple granger graphical models via group fused lasso. - Jitkomut Songsiri (ASCC, 2015)

Estimation of Granger Causality of State-Space Models using a Clustering with Gaussian Mixture Model. - Nattaporn Plub-in; Jitkomut Songsiri (SMC, 2019)

Automatic Epileptic Seizure Onset-Offset Detection Based On CNN in Scalp EEG. - Poomipat Boonyakitanont; Apiwat Lek-Uthai; Jitkomut Songsiri (ICASSP, 2020)

Learning A Common Granger Causality Network Using A Non-Convex Regularization. - Parinthorn Manomaisaowapak; Jitkomut Songsiri (ICASSP, 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)

Convex formulation for regularized estimation of structural equation models. - Anupon Pruttiakaravanich; Jitkomut Songsiri (Signal Process., 2020)

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)

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 002; Tony W. Wilson; Vince D. Calhoun; Julia M. Stephen; Tülay Adali (EMBC, 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)

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)

Developing a Thailand solar irradiance map using Himawari-8 satellite imageries and deep learning models. - Suwichaya Suwanwimolkul; Natanon Tongamrak; Nuttamon Thungka; Naebboon Hoonchareon; Jitkomut Songsiri (CoRR, 2024)

Large width penalization for neural network-based prediction interval estimation. - Worachit Amnuaypongsa; Jitkomut Songsiri (CoRR, 2024)