| Accelerometer placement for posture recognition and fall detection H Gjoreski, M Lustrek, M Gams 2011 Seventh International Conference on Intelligent Environments, 47-54, 2011 | 208 | 2011 |
| Fall detection and activity recognition with machine learning M Luštrek, B Kaluža Informatica 33 (2), 2009 | 168 | 2009 |
| An agent-based approach to care in independent living B Kaluža, V Mirchevska, E Dovgan, M Luštrek, M Gams International joint conference on ambient intelligence, 177-186, 2010 | 147 | 2010 |
| Monitoring stress with a wrist device using context M Gjoreski, M Luštrek, M Gams, H Gjoreski Journal of biomedical informatics 73, 159-170, 2017 | 123 | 2017 |
| Fall detection and activity recognition with machine learning M Luštrek, B Kaluža | 109 | 2008 |
| 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 | 101 | 2016 |
| 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 | 98 | 2016 |
| Efficient activity recognition and fall detection using accelerometers S Kozina, H Gjoreski, M Gams, M Luštrek International competition on evaluating AAL systems through competitive …, 2013 | 63 | 2013 |
| 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 | 59 | 2008 |
| Detecting falls with location sensors and accelerometers M Luštrek, H Gjoreski, S Kozina, B Cvetković, V Mirchevska, M Gams Twenty-Third IAAI Conference, 1662-1667, 2011 | 56 | 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 | 50 | 2015 |
| 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 | 48 | 2015 |
| 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 | 45 | 2015 |
| Blood pressure estimation from photoplethysmogram using a spectro-temporal deep neural network G Slapničar, N Mlakar, M Luštrek Sensors 19 (15), 3420, 2019 | 44 | 2019 |
| 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 | 44 | 2013 |
| 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 | 41 | 2018 |
| Using genres to improve search engines V Vidulin, M Luštrek, M Gams 1st International Workshop: Towards Genre-Enabled Search Engines: The Impact …, 2007 | 40 | 2007 |
| Dynamic signal segmentation for activity recognition S Kozina, M Lustrek, M Gams Proceedings of International Joint Conference on Artificial Intelligence …, 2011 | 39 | 2011 |
| What makes classification trees comprehensible? R Piltaver, M Luštrek, M Gams, S Martinčić-Ipšić Expert Systems with Applications 62, 333-346, 2016 | 38* | 2016 |
| Telehealth using ECG sensor and accelerometer H Gjoreski, A Rashkovska, S Kozina, M Lustrek, M Gams 2014 37th International Convention on Information and Communication …, 2014 | 33 | 2014 |
Matjaz GamsJozef Stefan InstituteVahvistettu sähköpostiosoite verkkotunnuksessa ijs.si
