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A Deep Learning Approach for Intelligent Cockpits: Learning Drivers Routines.

, , , , and . IDEAL (2), volume 12490 of Lecture Notes in Computer Science, page 173-183. Springer, (2020)

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Synthetic dataset to study breaks in the consumer's water consumption patterns., , , and . ICoMS, page 59-65. ACM, (2021)Impact of Variable Transformations on Multiple Regression Models for Enhancing Gait Normalization., , , , , and . ICoMS, page 103-107. ACM, (2023)Rapid Learning of Complex Sequences With Time Constraints: A Dynamic Neural Field Model., , , , , and . IEEE Trans. Cogn. Dev. Syst., 13 (4): 853-864 (2021)Adaptive timing in a dynamic field architecture for natural human-robot interactions., , , , and . Cogn. Syst. Res., (December 2023)Prediction of attitudes towards human-centred cognitive vehicles aware of their users' routines and preferences., , , , , and . RTSI, page 194-199. IEEE, (2021)Neural Field Model for Measuring and Reproducing Time Intervals., , , and . ICANN (1), volume 11727 of Lecture Notes in Computer Science, page 327-338. Springer, (2019)A Deep Learning Approach for Intelligent Cockpits: Learning Drivers Routines., , , , and . IDEAL (2), volume 12490 of Lecture Notes in Computer Science, page 173-183. Springer, (2020)A Data Recording Mobile Application to Create Datasets of Vehicle Users' Routines., , , , , and . ICARSC, page 167-172. IEEE, (2022)Gait classification of patients with Fabry's disease based on normalized gait features obtained using multiple regression models., , , , , , and . BIBM, page 2288-2295. IEEE, (2019)Endowing Intelligent Vehicles with the Ability to Learn User's Habits and Preferences with Machine Learning Methods., , , , , , , and . IDEAL, volume 13756 of Lecture Notes in Computer Science, page 157-169. Springer, (2022)