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Mitja Luątrek
Mitja Luątrek
Artificial intelligence researcher, Joľef Stefan Institute
Adresă de e-mail confirmată pe ijs.si - Pagina de pornire
Titlu
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Monitoring stress with a wrist device using context
M Gjoreski, M Luątrek, M Gams, H Gjoreski
Journal of biomedical informatics 73, 159-170, 2017
3262017
Blood pressure estimation from photoplethysmogram using a spectro-temporal deep neural network
G Slapničar, N Mlakar, M Luątrek
Sensors 19 (15), 3420, 2019
2992019
Accelerometer placement for posture recognition and fall detection
H Gjoreski, M Lustrek, M Gams
2011 Seventh International Conference on Intelligent Environments, 47-54, 2011
2942011
Continuous stress detection using a wrist device: in laboratory and real life
M Gjoreski, H Gjoreski, M Luątrek, M Gams
proceedings of the 2016 ACM international joint conference on pervasive and …, 2016
2392016
An agent-based approach to care in independent living
B Kaluľa, V Mirchevska, E Dovgan, M Luątrek, M Gams
Ambient Intelligence: First International Joint Conference, AmI 2010, Malaga …, 2010
2032010
Fall detection and activity recognition with machine learning
M Luątrek, B Kaluľa
Informatica 33 (2), 2009
1772009
Fall detection and activity recognition with machine learning
M Lustrek
Informatica 33 (2), 205-212, 2009
1502009
How accurately can your wrist device recognize daily activities and detect falls?
M Gjoreski, H Gjoreski, M Luątrek, M Gams
Sensors 16 (6), 800, 2016
1432016
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
982015
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 Reąčič, J Bizjak, V Drobnič, ...
Information Fusion 62, 47-62, 2020
942020
Real-time activity monitoring with a wristband and a smartphone
B Cvetković, R Szeklicki, V Janko, P Lutomski, M Luątrek
Information Fusion 43, 77-93, 2018
852018
What makes classification trees comprehensible?
R Piltaver, M Luątrek, M Gams, S Martinčić-Ipąić
Expert Systems with Applications 62, 333-346, 2016
81*2016
Machine learning prediction models for chronic kidney disease using national health insurance claim data in Taiwan
S Krishnamurthy, K Ks, E Dovgan, M Luątrek, B Gradiąek Piletič, ...
Healthcare 9 (5), 546, 2021
802021
Efficient activity recognition and fall detection using accelerometers
S Kozina, H Gjoreski, M Gams, M Luątrek
Evaluating AAL Systems Through Competitive Benchmarking: International …, 2013
772013
Datasets for cognitive load inference using wearable sensors and psychological traits
M Gjoreski, T Kolenik, T Knez, M Luątrek, M Gams, H Gjoreski, V Pejović
Applied Sciences 10 (11), 3843, 2020
732020
Detecting falls with location sensors and accelerometers
M Luątrek, H Gjoreski, S Kozina, B Cvetkovic, V Mirchevska, M Gams
Proceedings of the AAAI Conference on Artificial Intelligence 25 (2), 1662-1667, 2011
692011
Continuous blood pressure estimation from PPG signal
G Slapničar, M Luątrek, M Marinko
Informatica 42 (1), 2018
682018
Machine learning and end-to-end deep learning for monitoring driver distractions from physiological and visual signals
M Gjoreski, M® Gams, M Luątrek, P Genc, JU Garbas, T Hassan
IEEE access 8, 70590-70603, 2020
652020
Context-based ensemble method for human energy expenditure estimation
H Gjoreski, B Kaluľa, M Gams, R Milić, M Luątrek
Applied Soft Computing 37, 960-970, 2015
632015
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
592008
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