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User identification from mobility traces., , , and . J. Ambient Intell. Humaniz. Comput., 14 (1): 31-40 (2023)Classification of Alzheimer's Patients through Ubiquitous Computing., , , and . Sensors, 17 (7): 1679 (2017)Discovering User's Trends and Routines from Location Based Social Networks., , and . UCAmI, volume 2 of MDPI Proceedings, page 1222. MDPI, (2018)Development of a Quantitative Tool Based on Deep Learning for Automatic Apraxia Detection (DLAAD)., , , and . UCAmI, volume 594 of Lecture Notes in Networks and Systems, page 246-251. Springer, (2022)Automatic Generation of User Interaction Models., , and . UCAmI (1), volume 10069 of Lecture Notes in Computer Science, page 406-418. (2016)Daily Routines Inference Based on Location History., , , and . UCAmI, volume 10586 of Lecture Notes in Computer Science, page 828-839. Springer, (2017)A Method for Analyzing the Quality-in-Use in Collaborative Contexts., , , and . Interacción, page 21:1-21:8. ACM, (2019)An Evolutionary Algorithm for Solving Word Equation Systems., , and . CAEPIA, volume 3040 of Lecture Notes in Computer Science, page 147-156. Springer, (2003)Finiteness Properties of Some Families of GP-Trees., and . CAEPIA, volume 4788 of Lecture Notes in Computer Science, page 190-199. Springer, (2007)Alzheimer's Disease stage identification using deep learning models., , , , and . J. Biomed. Informatics, (2020)