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Vito Janko

Showing results (1-10 of 6) with videos related to

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Sensors (Basel, Switzerland)|December 30, 2017
Using Markov Chains and Multi-Objective Optimization for Energy-Efficient Context RecognitionVito Janko, Mitja Luštrek
Sensors (Basel, Switzerland)|January 27, 2021
A General Framework for Making Context-Recognition Systems More Energy EfficientVito Janko, Mitja Luštrek
Journal of Medical Systems|October 11, 2016
Activity Recognition for Diabetic Patients Using a SmartphoneBožidara Cvetković, Vito Janko, Alfonso E Romero, et al.
Sensors (Basel, Switzerland)|May 28, 2022
What Actually Works for Activity Recognition in Scenarios with Significant Domain Shift: Lessons Learned from the 2019 and 2020 Sussex-Huawei ChallengesStefan Kalabakov, Simon Stankoski, Ivana Kiprijanovska, et al.
International Journal of Environmental Research and Public Health|July 2, 2021
Machine Learning for Analyzing Non-Countermeasure Factors Affecting Early Spread of COVID-19Vito Janko, Gašper Slapničar, Erik Dovgan, et al.
Frontiers in Public Health|March 2, 2023
Optimizing non-pharmaceutical intervention strategies against COVID-19 using artificial intelligenceVito Janko, Nina Reščič, Aljoša Vodopija, et al.
Pageof 1

Showing results (1-10 of 6) with videos related to

Sort By:
Pageof 1
Sensors (Basel, Switzerland)|December 30, 2017
Using Markov Chains and Multi-Objective Optimization for Energy-Efficient Context RecognitionVito Janko, Mitja Luštrek
Sensors (Basel, Switzerland)|January 27, 2021
A General Framework for Making Context-Recognition Systems More Energy EfficientVito Janko, Mitja Luštrek
Journal of Medical Systems|October 11, 2016
Activity Recognition for Diabetic Patients Using a SmartphoneBožidara Cvetković, Vito Janko, Alfonso E Romero, et al.
Sensors (Basel, Switzerland)|May 28, 2022
What Actually Works for Activity Recognition in Scenarios with Significant Domain Shift: Lessons Learned from the 2019 and 2020 Sussex-Huawei ChallengesStefan Kalabakov, Simon Stankoski, Ivana Kiprijanovska, et al.
International Journal of Environmental Research and Public Health|July 2, 2021
Machine Learning for Analyzing Non-Countermeasure Factors Affecting Early Spread of COVID-19Vito Janko, Gašper Slapničar, Erik Dovgan, et al.
Frontiers in Public Health|March 2, 2023
Optimizing non-pharmaceutical intervention strategies against COVID-19 using artificial intelligenceVito Janko, Nina Reščič, Aljoša Vodopija, et al.
Pageof 1