Mitja Luštrek
Mitja Luštrek
Artificial intelligence researcher, Jožef Stefan Institute
Verified email at - Homepage
Cited by
Cited by
Monitoring stress with a wrist device using context
M Gjoreski, M Luštrek, M Gams, H Gjoreski
Journal of biomedical informatics 73, 159-170, 2017
Blood pressure estimation from photoplethysmogram using a spectro-temporal deep neural network
G Slapničar, N Mlakar, M Luštrek
Sensors 19 (15), 3420, 2019
Accelerometer placement for posture recognition and fall detection
H Gjoreski, M Lustrek, M Gams
2011 Seventh International Conference on Intelligent Environments, 47-54, 2011
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
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
Fall detection and activity recognition with machine learning
M Luštrek, B Kaluža
Informatica 33 (2), 2009
Fall detection and activity recognition with machine learning
M Lustrek
Informatica 33 (2), 205-212, 2009
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
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
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
What makes classification trees comprehensible?
R Piltaver, M Luštrek, M Gams, S Martinčić-Ipšić
Expert Systems with Applications 62, 333-346, 2016
Machine learning prediction models for chronic kidney disease using national health insurance claim data in Taiwan
S Krishnamurthy, K Ks, E Dovgan, M Luštrek, B Gradišek Piletič, ...
Healthcare 9 (5), 546, 2021
Efficient activity recognition and fall detection using accelerometers
S Kozina, H Gjoreski, M Gams, M Luštrek
Evaluating AAL Systems Through Competitive Benchmarking: International …, 2013
Datasets for cognitive load inference using wearable sensors and psychological traits
M Gjoreski, T Kolenik, T Knez, M Luštrek, M Gams, H Gjoreski, V Pejović
Applied Sciences 10 (11), 3843, 2020
Continuous blood pressure estimation from PPG signal
G Slapničar, M Luštrek, M Marinko
Informatica 42 (1), 2018
Machine learning and end-to-end deep learning for monitoring driver distractions from physiological and visual signals
M Gjoreski, MŽ Gams, M Luštrek, P Genc, JU Garbas, T Hassan
IEEE access 8, 70590-70603, 2020
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
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
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
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