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Granger-Causal Attentive Mixtures of Experts: Learning Important Features with Neural Networks., , and . AAAI, page 4846-4853. AAAI Press, (2019)Oxygen saturation in children with and without obstructive sleep apnea using the phone-oximeter., , , , , and . EMBC, page 2531-2534. IEEE, (2013)Pulse transit time based respiratory rate estimation with singular spectrum analysis., , , , and . Medical Biol. Eng. Comput., 58 (2): 257-266 (2020)Not to Cry Wolf: Distantly Supervised Multitask Learning in Critical Care., , , , , and . ICML, volume 80 of Proceedings of Machine Learning Research, page 4525-4534. PMLR, (2018)Sleepic - Developments for a Wearable On-line Sleep and Wake Discrimination System., and . BIOSIGNALS, page 132-137. SciTePress, (2011)Sharing Vital Signs between mobile phone applications., , and . EMBC, page 3646-3649. IEEE, (2014)Perception and behavior of InsBot : Robot-Animal interaction issues., , , , and . ROBIO, page 517-522. IEEE, (2005)Multispectral Video Fusion for Non-contact Monitoring of Respiratory Rate and Apnea., , and . CoRR, (2020)Adaptive wake and sleep detection for wearable systems.. EPFL, Switzerland, (2009)Human-centered Phone Oximeter Interface Design for the Operating Room - Pulse Oximeter Interfaced to a Mobile Device for Anesthesia Monitoring in the Developing World., , , , , , and . HEALTHINF, page 433-438. SciTePress, (2011)