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Matjaž Gams

Showing results (1-10 of 16) with videos related to

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Sensors (Basel, Switzerland)|September 23, 2020
Detection of Gait Abnormalities for Fall Risk Assessment Using Wrist-Worn Inertial Sensors and Deep LearningIvana Kiprijanovska, Hristijan Gjoreski, Matjaž Gams
Neuropsychiatric Disease and Treatment|December 17, 2024
Computational Psychotherapy System for Mental Health Prediction and Behavior Change with a Conversational AgentTine Kolenik, Günter Schiepek, Matjaž Gams
Journal of Biomedical Informatics|August 15, 2017
Monitoring stress with a wrist device using contextMartin Gjoreski, Mitja Luštrek, Matjaž Gams, et al.
Heliyon|October 16, 2023
A machine-learning approach to a mobility policy proposalMiljana Shulajkovska, Maj Smerkol, Erik Dovgan, et al.
Sensors (Basel, Switzerland)|June 4, 2016
How Accurately Can Your Wrist Device Recognize Daily Activities and Detect Falls?Martin Gjoreski, Hristijan Gjoreski, Mitja Luštrek, et al.
Sensors (Basel, Switzerland)|October 14, 2023
Predicting a Fall Based on Gait Anomaly Detection: A Comparative Study of Wrist-Worn Three-Axis and Mobile Phone-Based Accelerometer SensorsPrimož Kocuvan, Aleksander Hrastič, Andrea Kareska, et al.
Sensors (Basel, Switzerland)|April 12, 2018
Non-Invasive Blood Pressure Estimation from ECG Using Machine Learning TechniquesMonika Simjanoska, Martin Gjoreski, Matjaž Gams, et al.
AAPS Pharmscitech|June 28, 2014
Integrating artificial and human intelligence into tablet production processMatjaž Gams, Matej Horvat, Matej Ožek, et al.
Sensors (Basel, Switzerland)|November 19, 2020
Can We Ditch Feature Engineering? End-to-End Deep Learning for Affect Recognition from Physiological Sensor DataMaciej Dzieżyc, Martin Gjoreski, Przemysław Kazienko, et al.
Healthcare (Basel, Switzerland)|February 25, 2022
Similarities and Differences between EU Platforms in the AHA and AAL Domains from a Software ViewpointMatjaž Gams, Žiga Kolar, Zdenko Vuk, et al.
Pageof 2

Showing results (1-10 of 16) with videos related to

Sort By:
Pageof 2
Sensors (Basel, Switzerland)|September 23, 2020
Detection of Gait Abnormalities for Fall Risk Assessment Using Wrist-Worn Inertial Sensors and Deep LearningIvana Kiprijanovska, Hristijan Gjoreski, Matjaž Gams
Neuropsychiatric Disease and Treatment|December 17, 2024
Computational Psychotherapy System for Mental Health Prediction and Behavior Change with a Conversational AgentTine Kolenik, Günter Schiepek, Matjaž Gams
Journal of Biomedical Informatics|August 15, 2017
Monitoring stress with a wrist device using contextMartin Gjoreski, Mitja Luštrek, Matjaž Gams, et al.
Heliyon|October 16, 2023
A machine-learning approach to a mobility policy proposalMiljana Shulajkovska, Maj Smerkol, Erik Dovgan, et al.
Sensors (Basel, Switzerland)|June 4, 2016
How Accurately Can Your Wrist Device Recognize Daily Activities and Detect Falls?Martin Gjoreski, Hristijan Gjoreski, Mitja Luštrek, et al.
Sensors (Basel, Switzerland)|October 14, 2023
Predicting a Fall Based on Gait Anomaly Detection: A Comparative Study of Wrist-Worn Three-Axis and Mobile Phone-Based Accelerometer SensorsPrimož Kocuvan, Aleksander Hrastič, Andrea Kareska, et al.
Sensors (Basel, Switzerland)|April 12, 2018
Non-Invasive Blood Pressure Estimation from ECG Using Machine Learning TechniquesMonika Simjanoska, Martin Gjoreski, Matjaž Gams, et al.
AAPS Pharmscitech|June 28, 2014
Integrating artificial and human intelligence into tablet production processMatjaž Gams, Matej Horvat, Matej Ožek, et al.
Sensors (Basel, Switzerland)|November 19, 2020
Can We Ditch Feature Engineering? End-to-End Deep Learning for Affect Recognition from Physiological Sensor DataMaciej Dzieżyc, Martin Gjoreski, Przemysław Kazienko, et al.
Healthcare (Basel, Switzerland)|February 25, 2022
Similarities and Differences between EU Platforms in the AHA and AAL Domains from a Software ViewpointMatjaž Gams, Žiga Kolar, Zdenko Vuk, et al.
Pageof 2