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Special issue on supporting a healthier lifestyle with e-coaching systems.

, , , , , and . Pers. Ubiquitous Comput., 21 (4): 621-623 (2017)

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Special issue on supporting a healthier lifestyle with e-coaching systems., , , , , and . Pers. Ubiquitous Comput., 21 (4): 621-623 (2017)Fighting food temptations: The modulating effects of short-term cognitive reappraisal, suppression and up-regulation on mesocorticolimbic activity related to appetitive motivation., , , , , and . NeuroImage, 60 (1): 213-220 (2012)It is a matter of perspective: Attentional focus rather than dietary restraint drives brain responses to food stimuli., , , , , , , and . NeuroImage, (June 2023)Clustering individuals based on multivariate EMA time-series data., , , and . CoRR, (2022)Model-based Clustering of Individuals' Ecological Momentary Assessment Time-series Data for Improving Forecasting Performance., , , and . CoRR, (2023)Machine learning techniques in eating behavior e-coaching - Balancing between generalization and personalization., , , , and . Pers. Ubiquitous Comput., 21 (4): 645-659 (2017)Using Explainable Boosting Machine to Compare Idiographic and Nomothetic Approaches for Ecological Momentary Assessment Data., , , and . IDA, volume 13205 of Lecture Notes in Computer Science, page 199-211. Springer, (2022)Network Analysis of Ecological Momentary Assessment Data for Monitoring and Understanding Eating Behavior., , , and . ICSH, volume 9545 of Lecture Notes in Computer Science, page 43-54. Springer, (2015)Bagged Boosted Trees for Classification of Ecological Momentary Assessment Data., , and . ECAI, volume 285 of Frontiers in Artificial Intelligence and Applications, page 1612-1613. IOS Press, (2016)Enhancing Classification of Ecological Momentary Assessment Data Using Bagging and Boosting., , and . ICTAI, page 388-395. IEEE Computer Society, (2016)