| Fall detection and activity recognition with machine learning M Luštrek, B Kaluža Informatica 33 (2), 2009 | 288 | 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 | 261 | 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 | 234 | 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 | 184 | 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 | 172 | 2016 |
| Blood pressure estimation from photoplethysmogram using a spectro-temporal deep neural network G Slapničar, N Mlakar, M Luštrek Sensors 19 (15), 3420, 2019 | 166 | 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 | 127 | 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 | 79 | 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 | 73 | 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 | 68 | 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 | 67 | 2011 |
| What makes classification trees comprehensible? R Piltaver, M Luštrek, M Gams, S Martinčić-Ipšić Expert Systems with Applications 62, 333-346, 2016 | 63* | 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 | 61 | 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 | 58 | 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 | 56 | 2015 |
| Continuous blood pressure estimation from PPG signal G Slapničar, M Luštrek, M Marinko Informatica 42 (1), 2018 | 50 | 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 | 49 | 2013 |
| Using genres to improve search engines V Vidulin, M Luštrek, M Gams 1st International Workshop: Towards Genre-Enabled Search Engines: The Impact …, 2007 | 46 | 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 | 45 | 2015 |
| Combining domain knowledge and machine learning for robust fall detection V Mirchevska, M Luštrek, M Gams Expert Systems 31 (2), 163-175, 2014 | 44 | 2014 |
Matjaz GamsJozef Stefan InstituteVerified email at ijs.si
