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Improving heart rate estimation in preterm infants with bivariate point process analysis of heart rate and respiration., , , and . EMBC, page 920-923. IEEE, (2016)Uncovering statistical features of bradycardia severity in premature infants using a point process model., , , and . EMBC, page 5855-5858. IEEE, (2015)Switching neuronal state: optimal stimuli revealed using a stochastically-seeded gradient algorithm., and . J. Comput. Neurosci., 37 (3): 569-582 (2014)Optimal Stimulus Shapes for Neuronal Excitation., , and . PLoS Comput. Biol., (2011)Optimizing stimulus waveforms for suppressing epileptic activity reveals a counterbalancing mechanism.. EMBC, page 2226-2229. IEEE, (2018)An Algorithm for Risk Stratification of Preterm Infants., , , , , and . CinC, www.cinc.org, (2017)FaiR-N: Fair and Robust Neural Networks for Structured Data., , , and . AIES, page 946-955. ACM, (2021)Applying Machine Learning Algorithms for Automatic Detection of Swallowing from Sound., , , , , , and . EMBC, page 2584-2588. IEEE, (2019)Bayesian Online Changepoint Detection Of Physiological Transitions., , , and . EMBC, page 45-48. IEEE, (2018)Individualized apnea prediction in preterm infants using cardio-respiratory and movement signals., , , , , and . BSN, page 1-6. IEEE, (2013)