Mitja Luštrek
Mitja Luštrek
Artificial intelligence researcher, Jožef Stefan Institute
Verified email at - Homepage
Cited by
Cited by
Fall detection and activity recognition with machine learning
M Luštrek, B Kaluža
Informatica 33 (2), 2009
Accelerometer placement for posture recognition and fall detection
H Gjoreski, M Lustrek, M Gams
2011 Seventh International Conference on Intelligent Environments, 47-54, 2011
Monitoring stress with a wrist device using context
M Gjoreski, M Luštrek, M Gams, H Gjoreski
Journal of biomedical informatics 73, 159-170, 2017
An agent-based approach to care in independent living
B Kaluža, V Mirchevska, E Dovgan, M Luštrek, M Gams
Ambient Intelligence: First International Joint Conference, AmI 2010, Malaga …, 2010
Continuous stress detection using a wrist device: in laboratory and real life
M Gjoreski, H Gjoreski, M Luštrek, M Gams
proceedings of the 2016 ACM international joint conference on pervasive and …, 2016
Blood pressure estimation from photoplethysmogram using a spectro-temporal deep neural network
G Slapničar, N Mlakar, M Luštrek
Sensors 19 (15), 3420, 2019
How accurately can your wrist device recognize daily activities and detect falls?
M Gjoreski, H Gjoreski, M Luštrek, M Gams
Sensors 16 (6), 800, 2016
Automatic detection of perceived stress in campus students using smartphones
M Gjoreski, H Gjoreski, M Lutrek, M Gams
2015 International Conference on Intelligent Environments, 132-135, 2015
Real-time activity monitoring with a wristband and a smartphone
B Cvetković, R Szeklicki, V Janko, P Lutomski, M Luštrek
Information Fusion 43, 77-93, 2018
Efficient activity recognition and fall detection using accelerometers
S Kozina, H Gjoreski, M Gams, M Luštrek
Evaluating AAL Systems Through Competitive Benchmarking: International …, 2013
Detecting falls with location sensors and accelerometers
M Luštrek, H Gjoreski, S Kozina, B Cvetkovic, V Mirchevska, M Gams
Proceedings of the AAAI Conference on Artificial Intelligence 25 (2), 1662-1667, 2011
What makes classification trees comprehensible?
R Piltaver, M Luštrek, M Gams, S Martinčić-Ipšić
Expert Systems with Applications 62, 333-346, 2016
Classical and deep learning methods for recognizing human activities and modes of transportation with smartphone sensors
M Gjoreski, V Janko, G Slapničar, M Mlakar, N Reščič, J Bizjak, V Drobnič, ...
Information Fusion 62, 47-62, 2020
Dynamic control in real-time heuristic search
V Bulitko, M Lustrek, J Schaeffer, Y Bjornsson, S Sigmundarson
Journal of Artificial Intelligence Research 32, 419-452, 2008
Context-based ensemble method for human energy expenditure estimation
H Gjoreski, B Kaluža, M Gams, R Milić, M Luštrek
Applied Soft Computing 37, 960-970, 2015
Continuous blood pressure estimation from PPG signal
G Slapničar, M Luštrek, M Marinko
Informatica 42 (1), 2018
Three-layer activity recognition combining domain knowledge and meta-classification
S Kozina, H Gjoreski, M Gams, M Luštrek
Journal of Medical and Biological Engineering 33 (4), 406-414, 2013
Using genres to improve search engines
V Vidulin, M Luštrek, M Gams
1st International Workshop: Towards Genre-Enabled Search Engines: The Impact …, 2007
Competitive live evaluations of activity-recognition systems
H Gjoreski, S Kozina, M Gams, M Lustrek, JA Álvarez-García, JH Hong, ...
IEEE Pervasive Computing 14 (1), 70-77, 2015
Combining domain knowledge and machine learning for robust fall detection
V Mirchevska, M Luštrek, M Gams
Expert Systems 31 (2), 163-175, 2014
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