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Vito Janko
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2020 – today
- 2022
- [j9]Stefan Kalabakov, Simon Stankoski, Ivana Kiprijanovska, Andrejaana Andova, Nina Resçiç
, Vito Janko
What Actually Works for Activity Recognition in Scenarios with Significant Domain Shift: Lessons Learned from the 2019 and 2020 Sussex-Huawei Challenges. Sensors 22(10): 3613 (2022) - 2021
- [j8]Vito Janko:
Three Methods for Energy-Efficient Context Recognition. Informatica (Slovenia) 45(2) (2021) - [j7]Vito Janko
A General Framework for Making Context-Recognition Systems More Energy Efficient. Sensors 21(3): 766 (2021) - 2020
- [j6]Martin Gjoreski
Classical and deep learning methods for recognizing human activities and modes of transportation with smartphone sensors. Inf. Fusion 62: 47-62 (2020) - [c13]Aljosa Vodopija
Constrained Multiobjective Optimization for the Design of Energy-Efficient Context Recognition Systems. BIOMA 2020: 308-320 - [c12]Stefan Kalabakov, Simon Stankoski
Tackling the SHL challenge 2020 with person-specific classifiers and semi-supervised learning. UbiComp/ISWC Adjunct 2020: 323-328
2010 – 2019
- 2019
- [c11]Vito Janko, Martin Gjoreski
Cross-location transfer learning for the sussex-huawei locomotion recognition challenge. UbiComp/ISWC Adjunct 2019: 730-735 - [c10]Vito Janko, Mitja Lustrek:
Cost-Sensitive Trees for Energy-Efficient Context Recognition. Intelligent Environments 2019: 64-67 - [p1]Vito Janko, Martin Gjoreski, Gasper Slapnicar, Miha Mlakar, Nina Resçiç, Jani Bizjak, Vid Drobnic, Matej Marinko, Nejc Mlakar, Matjaz Gams, Mitja Lustrek:
Winning the Sussex-Huawei Locomotion-Transportation Recognition Challenge. Human Activity Sensing 2019: 233-250 - 2018
- [j5]Vito Janko, Mitja Lustrek
Using Markov Chains and Multi-Objective Optimization for Energy-Efficient Context Recognition. Sensors 18(1): 80 (2018) - [c9]Martin Gjoreski
Applying Multiple Knowledge to Sussex-Huawei Locomotion Challenge. UbiComp/ISWC Adjunct 2018: 1488-1496 - [c8]Vito Janko, Nina Resçiç, Miha Mlakar, Vid Drobnic, Matjaz Gams, Gasper Slapnicar, Martin Gjoreski
A New Frontier for Activity Recognition: The Sussex-Huawei Locomotion Challenge. UbiComp/ISWC Adjunct 2018: 1511-1520 - [c7]Vito Janko, Mitja Lustrek:
Choosing Duty-Cycle Parameters for Context Recognition. Intelligent Environments 2018: 83-86 - 2017
- [j4]Vito Janko, Bozidara Cvetkovic, Anton Gradisek, Mitja Lustrek, Boro Strumbelj, Tanja Kajtna:
e-Gibalec: Mobile application to monitor and encourage physical activity in schoolchildren. J. Ambient Intell. Smart Environ. 9(5): 595-609 (2017) - [c6]Vito Janko, Mitja Lustrek:
Energy-efficient data collection for context recognition. UbiComp/ISWC Adjunct 2017: 458-463 - 2016
- [j3]Bozidara Cvetkovic, Hristijan Gjoreski, Vito Janko, Bostjan Kaluza, Anton Gradisek, Igor Jurincic, Anton Gosar, Simon Kerma, Gregor Balazic, Mitja Lustrek:
e-Turist: An Intelligent Personalised Trip Guide. Informatica (Slovenia) 40(4) (2016) - [j2]Bozidara Cvetkovic
Activity Recognition for Diabetic Patients Using a Smartphone. J. Medical Syst. 40(12): 256:1-256:8 (2016) - [j1]Vito Janko, Matej Guid:
A program for Progressive chess. Theor. Comput. Sci. 644: 76-91 (2016) - [c5]Bozidara Cvetkovic, Vito Janko, Anton Gradisek, Mitja Lustrek, Tanja Kajtna, Boro Strumbelj:
Mobile Application to Stimulate Physical Activity in Schoolchildren. Intelligent Environments 2016: 206-209 - 2015
- [c4]Vito Janko, Matej Guid:
Development of a Program for Playing Progressive Chess. ACG 2015: 122-134 - [c3]Bozidara Cvetkovic
Recognition of high-level activities with a smartphone. UbiComp/ISWC Adjunct 2015: 1453-1461 - [c2]Bozidara Cvetkovic
Demo abstract: Activity recognition and human energy expenditure estimation with a smartphone. PerCom Workshops 2015: 193-195 - 2014
- [c1]Mitja Lustrek, Bozidara Cvetkovic
Monitoring Patients' Lifestyle with a Smartphone and Other Devices Placed Freely on the Body. AmI 2014: 96-99
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