| Spectral dependence H Ombao, M Pinto Econometrics and Statistics, 2022 | 23 | 2022 |
| Patient-Specific Epilepsy Seizure Detection Using Random Forest Classification over One-Dimension Transformed EEG Data MA Pinto-Orellana, FR Cerqueira International Conference on Intelligent Systems Design and Applications, 519-528, 2016 | 7 | 2016 |
| RITS: a toolbox for assessing complex interventions via interrupted time series models M Cruz, MA Pinto-Orellana, DL Gillen, HC Ombao BMC Medical Research Methodology 21, 1-15, 2021 | 6 | 2021 |
| SHADE: Absorption spectroscopy enhancement with ambient light estimation and narrow-band detection H Sherkat, MA Pinto-Orellana, P Mirtaheri Optik 220, 165116, 2020 | 5 | 2020 |
| Dyadic aggregated autoregressive model (DASAR) for automatic modulation classification MA Pinto-Orellana, HL Hammer IEEE Access 8, 156096-156103, 2020 | 5 | 2020 |
| Solving Sensor Identification Problem Without Knowledge of the Ground Truth Using Replicator Dynamics A Yazidi, MA Pinto-Orellana, H Hammer, P Mirtaheri, E Herrera-Viedma IEEE Transactions on Cybernetics, 2020 | 5 | 2020 |
| Brain Connectivity Analysis in Distinct Footwear Conditions during Infinity Walk Using fNIRS H Khan, MA Pinto-Orellana, P Mirtaheri Sensors 23 (9), 4422, 2023 | 3 | 2023 |
| SCAU: Modeling spectral causality for multivariate time series with applications to electroencephalograms MA Pinto-Orellana, P Mirtaheri, HL Hammer, H Ombao arXiv preprint arXiv:2105.06418, 2021 | 3 | 2021 |
| BrainWave Nets: Are sparse dynamic models susceptible to brain manipulation experimentation? D Nascimento, MA Pinto-Orellana, JP Leite, DJ Edwards, F Louzada, ... Frontiers in Systems Neuroscience 14, 67, 2020 | 3 | 2020 |
| A hemodynamic decomposition model for detecting cognitive load using functional near-infrared spectroscopy MA Pinto-Orellana, DC Nascimento, P Mirtaheri, R Jonassen, A Yazidi, ... arXiv preprint arXiv:2001.08579, 2020 | 2 | 2020 |
| Smooth online parameter estimation for time varying VAR models with application to rat local field potential activity data A El Yaagoubi Bourakna, MA Pinto-Orellana, N Fortin, H Ombao International Press, 2023 | 1 | 2023 |
| Analysis of Optical Brain Signals Using Connectivity Graph Networks MA Pinto-Orellana, HL Hammer International Cross-Domain Conference for Machine Learning and Knowledge …, 2020 | 1 | 2020 |
| Enhancement of collaboration in the early stage of an interdisciplinary engineering and design project: mapping group dynamics M Risnes, M Mellema, MA Pinto-Orellana, H Sherkat Engineering and Product Design Education (E&PDE); DS 95: Proceedings of the …, 2019 | 1 | 2019 |
| Spectral Analysis of Electrophysiological Data H Ombao, MA Pinto-Orellana Statistical Methods in Epilepsy, 2024 | | 2024 |
| Statistical Inference for Modulation Index in Phase-Amplitude Coupling MA Pinto-Orellana, H Ombao, B Lopour arXiv preprint arXiv:2310.05398, 2023 | | 2023 |
| Dyadic aggregated autoregressive (DASAR) model for time-frequency representation of biomedical signals MA Pinto-Orellana, H Sherkat, P Mirtaheri, HL Hammer arXiv preprint arXiv:2105.10406, 2021 | | 2021 |
| The Complex-Pole Filter Representation (COFRE) for spectral modeling of fNIRS signals MA Pinto Orellana, P Mirtaheri, HL Hammer arXiv e-prints, arXiv: 2105.13476, 2021 | | 2021 |
| Smooth Online Parameter Estimation for time varying VAR models with application to rat's LFP data A El Yaagoubi Bourakna, M Pinto, N Fortin, H Ombao arXiv e-prints, arXiv: 2102.12290, 2021 | | 2021 |
| Filter-banks and artificial intelligence in seizure detection using electroencephalograms MA Pinto-Orellana, FR Cerqueira bioRxiv, 105650, 2017 | | 2017 |
| Seizure detection in electroencephalograms using data mining and signal processing MAP Orellana | | 2017 |
Hernando OmbaoProfessor of Statistics, King Abdullah University of Science and TechnologyVerified email at kaust.edu.sa
