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A Methodology for Obtaining Objective Measurements of Population Obesogenic Behaviors in Relation to the Environment., , , , and . CoRR, (2019)A parametric Probabilistic Context-Free Grammar for food intake analysis based on continuous meal weight measurements., , , , and . EMBC, page 7853-7856. IEEE, (2015)Automatic Analysis of Food Intake and Meal Microstructure Based on Continuous Weight Measurements., , , , and . IEEE J. Biomed. Health Informatics, 23 (2): 893-902 (2019)Inferring the Spatial Distribution of Physical Activity in Children Population from Characteristics of the Environment., , , , and . EMBC, page 5876-5879. IEEE, (2020)Developing a Novel Citizen-Scientist Smartphone App for Collecting Behavioral and Affective Data from Children Populations., , , , , , , , , and 1 other author(s). MobiHealth, volume 320 of Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, page 294-302. Springer, (2019)Chewing Detection from Commercial Smart-glasses., , and . MADiMa @ ACM Multimedia, page 11-16. ACM, (2022)Listen2YourHeart: A Self-Supervised Approach for Detecting Murmur in Heart-Beat Sounds., , , and . CinC, page 1-4. IEEE, (2022)Objective measures of eating behaviour in a Swedish high school., , , , , , , , , and . Behav. Inf. Technol., 36 (10): 1005-1013 (2017)Self-Supervised Feature Learning of 1D Convolutional Neural Networks with Contrastive Loss for Eating Detection Using an In-Ear Microphone., , and . EMBC, page 7186-7189. IEEE, (2021)Chewing detection from an in-ear microphone using convolutional neural networks., , and . EMBC, page 1258-1261. IEEE, (2017)