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

, , , , и . IDEAL (2), том 12490 из Lecture Notes in Computer Science, стр. 173-183. Springer, (2020)

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Wilma Florath

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Synthetic dataset to study breaks in the consumer's water consumption patterns., , , и . ICoMS, стр. 59-65. ACM, (2021)Impact of Variable Transformations on Multiple Regression Models for Enhancing Gait Normalization., , , , , и . ICoMS, стр. 103-107. ACM, (2023)A Deep Learning Approach for Intelligent Cockpits: Learning Drivers Routines., , , , и . IDEAL (2), том 12490 из Lecture Notes in Computer Science, стр. 173-183. Springer, (2020)Prediction of attitudes towards human-centred cognitive vehicles aware of their users' routines and preferences., , , , , и . RTSI, стр. 194-199. IEEE, (2021)Neural Field Model for Measuring and Reproducing Time Intervals., , , и . ICANN (1), том 11727 из Lecture Notes in Computer Science, стр. 327-338. Springer, (2019)A Data Recording Mobile Application to Create Datasets of Vehicle Users' Routines., , , , , и . ICARSC, стр. 167-172. IEEE, (2022)Gait classification of patients with Fabry's disease based on normalized gait features obtained using multiple regression models., , , , , , и . BIBM, стр. 2288-2295. IEEE, (2019)Endowing Intelligent Vehicles with the Ability to Learn User's Habits and Preferences with Machine Learning Methods., , , , , , , и . IDEAL, том 13756 из Lecture Notes in Computer Science, стр. 157-169. Springer, (2022)Towards Endowing Collaborative Robots with Fast Learning for Minimizing Tutors' Demonstrations: What and When to Do?, , , , , , , и . ROBOT (1), том 1092 из Advances in Intelligent Systems and Computing, стр. 368-378. Springer, (2019)Global Implications of Human Tendencies Towards Automated Driving and Human Driver Availability in Autonomous Vehicles., , , и . HCI (47), том 12429 из Lecture Notes in Computer Science, стр. 179-192. Springer, (2020)