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Sensors (Basel, Switzerland)
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December 30, 2017
Using Markov Chains and Multi-Objective Optimization for Energy-Efficient Context Recognition
Vito Janko, Mitja Luštrek
Sensors (Basel, Switzerland)
|
January 27, 2021
A General Framework for Making Context-Recognition Systems More Energy Efficient
Vito Janko, Mitja Luštrek
Biomedical Optics Express
|
June 10, 2024
Generalized channel separation algorithms for accurate camera-based multi-wavelength PTT and BP estimation
Gašper Slapničar, Wenjin Wang, Mitja Luštrek
Sensors (Basel, Switzerland)
|
September 27, 2025
Predicting Empathy and Other Mental States During VR Sessions Using Sensor Data and Machine Learning
Emilija Kizhevska, Hristijan Gjoreski, Mitja Luštrek
Sensors (Basel, Switzerland)
|
April 3, 2021
Classification of Hemodynamics Scenarios from a Public Radar Dataset Using a Deep Learning Approach
Gašper Slapničar, Wenjin Wang, Mitja Luštrek
Sensors (Basel, Switzerland)
|
August 7, 2019
Blood Pressure Estimation from Photoplethysmogram Using a Spectro-Temporal Deep Neural Network
Gašper Slapničar, Nejc Mlakar, Mitja Luštrek
Plos One
|
July 18, 2024
Protocol of the study for predicting empathy during VR sessions using sensor data and machine learning
Emilija Kizhevska, Kristina Šparemblek, Mitja Luštrek
Journal of Biomedical Informatics
|
August 15, 2017
Monitoring stress with a wrist device using context
Martin Gjoreski, Mitja Luštrek, Matjaž Gams, et al.
Sensors (Basel, Switzerland)
|
April 3, 2021
Smartwatch-Based Eating Detection: Data Selection for Machine Learning from Imbalanced Data with Imperfect Labels
Simon Stankoski, Marko Jordan, Hristijan Gjoreski, 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.
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of 5
Search research articles
Search
Showing results (1-10 of 41) with videos related to
Sort By:
Page
of 5
Sensors (Basel, Switzerland)
|
December 30, 2017
Using Markov Chains and Multi-Objective Optimization for Energy-Efficient Context Recognition
Vito Janko, Mitja Luštrek
Sensors (Basel, Switzerland)
|
January 27, 2021
A General Framework for Making Context-Recognition Systems More Energy Efficient
Vito Janko, Mitja Luštrek
Biomedical Optics Express
|
June 10, 2024
Generalized channel separation algorithms for accurate camera-based multi-wavelength PTT and BP estimation
Gašper Slapničar, Wenjin Wang, Mitja Luštrek
Sensors (Basel, Switzerland)
|
September 27, 2025
Predicting Empathy and Other Mental States During VR Sessions Using Sensor Data and Machine Learning
Emilija Kizhevska, Hristijan Gjoreski, Mitja Luštrek
Sensors (Basel, Switzerland)
|
April 3, 2021
Classification of Hemodynamics Scenarios from a Public Radar Dataset Using a Deep Learning Approach
Gašper Slapničar, Wenjin Wang, Mitja Luštrek
Sensors (Basel, Switzerland)
|
August 7, 2019
Blood Pressure Estimation from Photoplethysmogram Using a Spectro-Temporal Deep Neural Network
Gašper Slapničar, Nejc Mlakar, Mitja Luštrek
Plos One
|
July 18, 2024
Protocol of the study for predicting empathy during VR sessions using sensor data and machine learning
Emilija Kizhevska, Kristina Šparemblek, Mitja Luštrek
Journal of Biomedical Informatics
|
August 15, 2017
Monitoring stress with a wrist device using context
Martin Gjoreski, Mitja Luštrek, Matjaž Gams, et al.
Sensors (Basel, Switzerland)
|
April 3, 2021
Smartwatch-Based Eating Detection: Data Selection for Machine Learning from Imbalanced Data with Imperfect Labels
Simon Stankoski, Marko Jordan, Hristijan Gjoreski, 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.
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of 5