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Amy Loutfi

Showing results (1-10 of 21) with videos related to

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IEEE Journal of Biomedical and Health Informatics|September 5, 2015
Data-Driven Rule Mining and Representation of Temporal Patterns in Physiological Sensor DataHadi Banaee, Amy Loutfi
Sensors (Basel, Switzerland)|March 6, 2021
Reinforcement Learning Approaches in Social RoboticsNeziha Akalin, Amy Loutfi
International Journal of Neural Systems|December 18, 2014
Learning feature representations with a cost-relevant sparse autoencoderMartin Längkvist, Amy Loutfi
Studies in Health Technology and Informatics|June 7, 2013
Physical activity classification for elderly based on pulse rateMobyen Uddin Ahmed, Amy Loutfi
Sensors (Basel, Switzerland)|May 27, 2014
Dynamic Bayesian networks for context-aware fall risk assessmentGregory Koshmak, Maria Linden, Amy Loutfi
Sensors (Basel, Switzerland)|December 20, 2013
Data mining for wearable sensors in health monitoring systems: a review of recent trends and challengesHadi Banaee, Mobyen Uddin Ahmed, Amy Loutfi
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|March 9, 2017
Fall risk probability estimation based on supervised feature learning using public fall datasetsGregory A Koshmak, Maria Linden, Amy Loutfi
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 11, 2013
Evaluation of the android-based fall detection system with physiological data monitoringGregory A Koshmak, Maria Linden, Amy Loutfi
Data in Brief|December 30, 2020
Multi-sensor dataset of human activities in a smart home environmentGibson Chimamiwa, Marjan Alirezaie, Federico Pecora, et al.
Sensors (Basel, Switzerland)|January 29, 2013
Fast classification of meat spoilage markers using nanostructured ZnO thin films and unsupervised feature learningMartin Längkvist, Silvia Coradeschi, Amy Loutfi, et al.
Pageof 3

Showing results (1-10 of 21) with videos related to

Sort By:
Pageof 3
IEEE Journal of Biomedical and Health Informatics|September 5, 2015
Data-Driven Rule Mining and Representation of Temporal Patterns in Physiological Sensor DataHadi Banaee, Amy Loutfi
Sensors (Basel, Switzerland)|March 6, 2021
Reinforcement Learning Approaches in Social RoboticsNeziha Akalin, Amy Loutfi
International Journal of Neural Systems|December 18, 2014
Learning feature representations with a cost-relevant sparse autoencoderMartin Längkvist, Amy Loutfi
Studies in Health Technology and Informatics|June 7, 2013
Physical activity classification for elderly based on pulse rateMobyen Uddin Ahmed, Amy Loutfi
Sensors (Basel, Switzerland)|May 27, 2014
Dynamic Bayesian networks for context-aware fall risk assessmentGregory Koshmak, Maria Linden, Amy Loutfi
Sensors (Basel, Switzerland)|December 20, 2013
Data mining for wearable sensors in health monitoring systems: a review of recent trends and challengesHadi Banaee, Mobyen Uddin Ahmed, Amy Loutfi
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|March 9, 2017
Fall risk probability estimation based on supervised feature learning using public fall datasetsGregory A Koshmak, Maria Linden, Amy Loutfi
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 11, 2013
Evaluation of the android-based fall detection system with physiological data monitoringGregory A Koshmak, Maria Linden, Amy Loutfi
Data in Brief|December 30, 2020
Multi-sensor dataset of human activities in a smart home environmentGibson Chimamiwa, Marjan Alirezaie, Federico Pecora, et al.
Sensors (Basel, Switzerland)|January 29, 2013
Fast classification of meat spoilage markers using nanostructured ZnO thin films and unsupervised feature learningMartin Längkvist, Silvia Coradeschi, Amy Loutfi, et al.
Pageof 3