Jitkomut Songsiri
Orcid: 0000-0002-2715-8305
  According to our database1,
  Jitkomut Songsiri
  authored at least 17 papers
  between 2009 and 2024.
  
  
Collaborative distances:
Collaborative distances:
Timeline
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Bibliography
  2024
    CoRR, 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