Hernando C. Ombao

According to our database, Hernando C. Ombao authored at least 42 papers between 2002 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2024

Graph Autoencoders for Embedding Learning in Brain Networks and Major Depressive Disorder Identification.

Fuad Noman, Chee-Ming Ting, Hakmook Kang, Raphaël C.-W. Phan, Hernando C. Ombao

IEEE J. Biomed. Health Informatics, March, 2024

2023

Editorial for the special issue on Time Series Analysis.

Konstantinos Fokianos, Claudia Kirch, Hernando C. Ombao

Comput. Stat. Data Anal., May, 2023

Multivariate Conway-Maxwell-Poisson Distribution: Sarmanov Method and Doubly Intractable Bayesian Inference.

Luiza S. C. Piancastelli, Nial Friel, Wagner Barreto-Souza, Hernando C. Ombao

J. Comput. Graph. Stat., April, 2023

Bayesian parameter inference for partially observed stochastic differential equations driven by fractional Brownian motion.

Mohamed Maama, Ajay Jasra, Hernando C. Ombao

Stat. Comput., 2023

A Unified Framework for Static and Dynamic Functional Connectivity Augmentation for Multi-Domain Brain Disorder Classification.

Yee-Fan Tan, Chee-Ming Ting, Fuad Noman, Raphaël C.-W. Phan, Hernando C. Ombao

Proceedings of the IEEE International Conference on Image Processing, 2023

2022

Separating Stimulus-Induced and Background Components of Dynamic Functional Connectivity in Naturalistic fMRI.

Chee-Ming Ting, Jeremy I. Skipper, Fuad Noman, Steven L. Small, Hernando C. Ombao

IEEE Trans. Medical Imaging, 2022

Brain waves analysis via a non-parametric Bayesian mixture of autoregressive kernels.

Guilllermo Granados-Garcia, Mark Fiecas, Babak Shahbaba, Norbert Fortin, Hernando C. Ombao

Comput. Stat. Data Anal., 2022

Wavelet testing for a replicate-effect within an ordered multiple-trial experiment.

Jonathan Embleton, Marina I. Knight, Hernando C. Ombao

Comput. Stat. Data Anal., 2022

Markov-switching state-space models with applications to neuroimaging.

David Degras, Chee-Ming Ting, Hernando C. Ombao

Comput. Stat. Data Anal., 2022

Graph Autoencoder-Based Embedded Learning in Dynamic Brain Networks for Autism Spectrum Disorder Identification.

Fuad Noman, Sin-Yee Yap, Raphaël C.-W. Phan, Hernando C. Ombao, Chee-Ming Ting

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Frequency-Specific Non-Linear Granger Causality in a Network of Brain Signals.

Archishman Biswas, Hernando C. Ombao

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

Detecting Dynamic Community Structure in Functional Brain Networks Across Individuals: A Multilayer Approach.

Chee-Ming Ting, S. Balqis Samdin, Meini Tang, Hernando C. Ombao

IEEE Trans. Medical Imaging, 2021

Multi-Chaotic Analysis of Inter-Beat (R-R) Intervals in Cardiac Signals for Discrimination between Normal and Pathological Classes.

Oleg N. Gorshkov, Hernando C. Ombao

Entropy, 2021

Graph Autoencoders for Embedding Learning in Brain Networks and Major Depressive Disorder Identification.

Fuad Noman, Chee-Ming Ting, Hakmook Kang, Raphael C.-W. Phan, Brian D. Boyd, Warren D. Taylor, Hernando C. Ombao

CoRR, 2021

Topological Data Analysis of COVID-19 Virus Spike Proteins.

Moo K. Chung, Hernando C. Ombao

CoRR, 2021

Separating Stimulus-Induced and Background Components of Dynamic Functional Connectivity in Naturalistic fMRI.

Chee-Ming Ting, Jeremy I. Skipper, Steven L. Small, Hernando C. Ombao

CoRR, 2021

Clustering Brain Signals: a Robust Approach Using Functional Data Ranking.

Tianbo Chen, Ying Sun, Carolina Euán, Hernando C. Ombao

J. Classif., 2021

Lattice Paths for Persistent Diagrams.

Moo K. Chung, Hernando C. Ombao

Proceedings of the Interpretability of Machine Intelligence in Medical Image Computing, and Topological Data Analysis and Its Applications for Medical Data, 2021

2020

Multi-Scale Factor Analysis of High-Dimensional Functional Connectivity in Brain Networks.

Chee-Ming Ting, Hernando C. Ombao, Sh-Hussain Salleh, Ahmad Zubaidi Abdul Latif

IEEE Trans. Netw. Sci. Eng., 2020

Inference on Long-Range Temporal Correlations in Human EEG Data.

Rachel J. Smith, Hernando C. Ombao, Daniel W. Shrey, Beth A. Lopour

IEEE J. Biomed. Health Informatics, 2020

A Multi-Domain Connectome Convolutional Neural Network for Identifying Schizophrenia From EEG Connectivity Patterns.

Chun-Ren Phang, Fuad Noman, Hadri Hussain, Chee-Ming Ting, Hernando C. Ombao

IEEE J. Biomed. Health Informatics, 2020

A Markov-Switching Model Approach to Heart Sound Segmentation and Classification.

Fuad Noman, Sh-Hussain Salleh, Chee-Ming Ting, S. Balqis Samdin, Hernando C. Ombao, Hadri Hussain

IEEE J. Biomed. Health Informatics, 2020

Modeling Spectral Properties in Stationary Processes of Varying Dimensions with Applications to Brain Local Field Potential Signals.

Raanju R. Sundararajan, Ron Frostig, Hernando C. Ombao

Entropy, 2020

2019

Evaluation of monofractal and multifractal properties of inter-beat (R-R) intervals in cardiac signals for differentiation between the normal and pathology classes.

Oleg N. Gorshkov, Hernando C. Ombao

IET Signal Process., 2019

Classification of EEG-Based Brain Connectivity Networks in Schizophrenia Using a Multi-Domain Connectome Convolutional Neural Network.

Chun-Ren Phang, Chee-Ming Ting, Fuad Noman, Hernando C. Ombao

CoRR, 2019

Exploratory Analysis of Brain Signals through Low Dimensional Embedding.

Yuxiao Wang, Chee-Ming Ting, Xu Gao, Hernando C. Ombao

Proceedings of the 2019 9th International IEEE/EMBS Conference on Neural Engineering (NER), 2019

Classification of EEG-based Effective Brain Connectivity in Schizophrenia using Deep Neural Networks.

Chun-Ren Phang, Chee-Ming Ting, S. Balqis Samdin, Hernando C. Ombao

Proceedings of the 2019 9th International IEEE/EMBS Conference on Neural Engineering (NER), 2019

Modeling Local Field Potentials with Regularized Matrix Data Clustering.

Xu Gao, Weining Shen, Jianhua Hu, Norbert Fortin, Hernando C. Ombao

Proceedings of the 2019 9th International IEEE/EMBS Conference on Neural Engineering (NER), 2019

Detecting State Changes in Community Structure of Functional Brain Networks Using a Markov-Switching Stochastic Block Model.

S. Balqis Samdin, Chee-Ming Ting, Hernando C. Ombao

Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

Estimating Brain Connectivity Using Copula Gaussian Graphical Models.

Xu Gao, Weining Shen, Chee-Ming Ting, Steven C. Cramer, Ramesh Srinivasan, Hernando C. Ombao

Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

Statistical Persistent Homology of Brain Signals.

Yuan Wang, Hernando C. Ombao, Moo K. Chung

Proceedings of the IEEE International Conference on Acoustics, 2019

Short-segment Heart Sound Classification Using an Ensemble of Deep Convolutional Neural Networks.

Fuad Noman, Chee-Ming Ting, Sh-Hussain Salleh, Hernando C. Ombao

Proceedings of the IEEE International Conference on Acoustics, 2019

2018

Estimating Dynamic Connectivity States in fMRI Using Regime-Switching Factor Models.

Chee-Ming Ting, Hernando C. Ombao, S. Balqis Samdin, Sh-Hussain Salleh

IEEE Trans. Medical Imaging, 2018

Dynamic classification using multivariate locally stationary wavelet processes.

Timothy Park, Idris A. Eckley, Hernando C. Ombao

Signal Process., 2018

Statistical models for brain signals with properties that evolve across trials.

Hernando C. Ombao, Mark Fiecas, Chee-Ming Ting, Yin Fen Low

NeuroImage, 2018

Modeling Binary Time Series Using Gaussian Processes with Application to Predicting Sleep States.

Xu Gao, Babak Shahbaba, Hernando C. Ombao

J. Classif., 2018

The Hierarchical Spectral Merger Algorithm: A New Time Series Clustering Procedure.

Carolina Euán, Hernando C. Ombao, Joaquín Ortega

J. Classif., 2018

2017

A Bayesian Double Fusion Model for Resting-State Brain Connectivity Using Joint Functional and Structural Data.

Hakmook Kang, Hernando C. Ombao, Christopher Fonnesbeck, Zhaohua Ding, Victoria L. Morgan

Brain Connect., 2017

2016

Modeling Effective Connectivity in High-Dimensional Cortical Source Signals.

Yuxiao Wang, Chee-Ming Ting, Hernando C. Ombao

IEEE J. Sel. Top. Signal Process., 2016

2014

Estimating Time-Evolving Partial Coherence Between Signals via Multivariate Locally Stationary Wavelet Processes.

Timothy Park, Idris A. Eckley, Hernando C. Ombao

IEEE Trans. Signal Process., 2014

2006

Classification of functional brain images with a spatio-temporal dissimilarity map.

Svetlana V. Shinkareva, Hernando C. Ombao, Bradley P. Sutton, Aprajita Mohanty, Gregory A. Miller

NeuroImage, 2006

2002

Time-frequency spectral estimation of multichannel EEG using the Auto-SLEX method.

Stephen D. Cranstoun, Hernando C. Ombao, Rainer von Sachs, Wensheng Guo, Brian Litt

IEEE Trans. Biomed. Eng., 2002