Hernando C. Ombao
Orcid: 0000-0001-7020-8091Affiliations:
- King Abdullah University of Science and Technology, Statistics Program, Thuwal, Saudi Arabia
According to our database1,
Hernando C. Ombao
authored at least 70 papers
between 2002 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
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Online presence:
-
on kaust.edu.sa
-
on orcid.org
On csauthors.net:
Bibliography
2024
Graph Autoencoders for Embedding Learning in Brain Networks and Major Depressive Disorder Identification.
IEEE J. Biomed. Health Informatics, March, 2024
Dynamic MRI reconstruction using low-rank plus sparse decomposition with smoothness regularization.
CoRR, 2024
2023
Comput. Stat. Data Anal., May, 2023
Multivariate Conway-Maxwell-Poisson Distribution: Sarmanov Method and Doubly Intractable Bayesian Inference.
J. Comput. Graph. Stat., April, 2023
Frontiers Artif. Intell., February, 2023
Bayesian parameter inference for partially observed stochastic differential equations driven by fractional Brownian motion.
Stat. Comput., 2023
Stylized Projected GAN: A Novel Architecture for Fast and Realistic Image Generation.
CoRR, 2023
A Unified Framework for Static and Dynamic Functional Connectivity Augmentation for Multi-Domain Brain Disorder Classification.
Proceedings of the IEEE International Conference on Image Processing, 2023
2022
Separating Stimulus-Induced and Background Components of Dynamic Functional Connectivity in Naturalistic fMRI.
IEEE Trans. Medical Imaging, 2022
Brain waves analysis via a non-parametric Bayesian mixture of autoregressive kernels.
Comput. Stat. Data Anal., 2022
Comput. Stat. Data Anal., 2022
Comput. Stat. Data Anal., 2022
Graph-Regularized Manifold-Aware Conditional Wasserstein GAN for Brain Functional Connectivity Generation.
CoRR, 2022
Bayesian Parameter Inference for Partially Observed SDEs driven by Fractional Brownian Motion.
CoRR, 2022
Graph Autoencoder-Based Embedded Learning in Dynamic Brain Networks for Autism Spectrum Disorder Identification.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022
Proceedings of the IEEE International Conference on Acoustics, 2022
2021
Detecting Dynamic Community Structure in Functional Brain Networks Across Individuals: A Multilayer Approach.
IEEE Trans. Medical Imaging, 2021
Multi-Chaotic Analysis of Inter-Beat (R-R) Intervals in Cardiac Signals for Discrimination between Normal and Pathological Classes.
Entropy, 2021
Graph Autoencoders for Embedding Learning in Brain Networks and Major Depressive Disorder Identification.
CoRR, 2021
Separating Stimulus-Induced and Background Components of Dynamic Functional Connectivity in Naturalistic fMRI.
CoRR, 2021
J. Classif., 2021
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.
IEEE Trans. Netw. Sci. Eng., 2020
IEEE J. Biomed. Health Informatics, 2020
A Multi-Domain Connectome Convolutional Neural Network for Identifying Schizophrenia From EEG Connectivity Patterns.
IEEE J. Biomed. Health Informatics, 2020
IEEE J. Biomed. Health Informatics, 2020
Modeling Spectral Properties in Stationary Processes of Varying Dimensions with Applications to Brain Local Field Potential Signals.
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.
IET Signal Process., 2019
Classification of EEG-Based Brain Connectivity Networks in Schizophrenia Using a Multi-Domain Connectome Convolutional Neural Network.
CoRR, 2019
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
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.
Proceedings of the 2019 9th International IEEE/EMBS Conference on Neural Engineering (NER), 2019
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.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019
Proceedings of the IEEE International Conference on Acoustics, 2019
Short-segment Heart Sound Classification Using an Ensemble of Deep Convolutional Neural Networks.
Proceedings of the IEEE International Conference on Acoustics, 2019
2018
IEEE Trans. Medical Imaging, 2018
Signal Process., 2018
NeuroImage, 2018
Modeling Binary Time Series Using Gaussian Processes with Application to Predicting Sleep States.
J. Classif., 2018
J. Classif., 2018
2017
A Unified Estimation Framework for State-Related Changes in Effective Brain Connectivity.
IEEE Trans. Biomed. Eng., 2017
A Bayesian Double Fusion Model for Resting-State Brain Connectivity Using Joint Functional and Structural Data.
Brain Connect., 2017
2016
IEEE J. Sel. Top. Signal Process., 2016
2015
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015
2014
Estimating Time-Evolving Partial Coherence Between Signals via Multivariate Locally Stationary Wavelet Processes.
IEEE Trans. Signal Process., 2014
Neural Comput., 2014
2013
IEEE Trans. Signal Process., 2013
Quantifying temporal correlations: A test-retest evaluation of functional connectivity in resting-state fMRI.
NeuroImage, 2013
Hierarchical vector auto-regressive models and their applications to multi-subject effective connectivity.
Frontiers Comput. Neurosci., 2013
2012
NeuroImage, 2012
2011
Stat. Anal. Data Min., 2011
NeuroImage, 2011
2010
NeuroImage, 2010
2008
Technometrics, 2008
2006
IEEE Trans. Signal Process., 2006
NeuroImage, 2006
Time-dependent frequency domain principal components analysis of multichannel non-stationary signals.
Comput. Stat. Data Anal., 2006
2005
2003
2002
IEEE Trans. Biomed. Eng., 2002