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Modulation frequency analysis of seizures in neonatal EEG., , , and . ICASSP, page 5879-5883. IEEE, (2014)Temporal evolution of seizure burden for automated neonatal EEG classification., , , , and . EMBC, page 4915-4918. IEEE, (2012)Optimal Energy Providing Strategy of Micro-Grid's Operator Based on a Game Theoretical Approach., , , and . CoDIT, page 104-109. IEEE, (2018)Gaussian Process Modelling as an Indicator of Neonatal Seizure., , , , , and . SPPRA, page 177-182. IASTED/ACTA Press, (2006)Neonatal seizure detection from raw multi-channel EEG using a fully convolutional architecture., , , and . Neural Networks, (2020)Exploring temporal information in neonatal seizures using a dynamic time warping based SVM kernel., , , , and . Comput. Biol. Medicine, (2017)Neonatal seizure detection from raw multi-channel EEG using a fully convolutional architecture., , , and . CoRR, (2021)Modelling interactions between blood pressure and brain activity in preterm neonates., , , , , and . EMBC, page 3969-3972. IEEE, (2017)Grading brain injury in neonatal EEG using SVM and supervector kernel., , , , and . ICASSP, page 5894-5898. IEEE, (2014)Robustness of time frequency distribution based features for automated neonatal EEG seizure detection., , , , and . EMBC, page 2829-2832. IEEE, (2014)