| Monitoring stress with a wrist device using context M Gjoreski, M Luštrek, M Gams, H Gjoreski Journal of biomedical informatics 73, 159-170, 2017 | 291 | 2017 |
| Accelerometer placement for posture recognition and fall detection H Gjoreski, M Lustrek, M Gams 2011 Seventh International Conference on Intelligent Environments, 47-54, 2011 | 287 | 2011 |
| The university of sussex-huawei locomotion and transportation dataset for multimodal analytics with mobile devices H Gjoreski, M Ciliberto, L Wang, FJO Morales, S Mekki, S Valentin, ... IEEE Access 6, 42592-42604, 2018 | 224 | 2018 |
| 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 | 216 | 2016 |
| 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 | 142 | 2016 |
| Enabling reproducible research in sensor-based transportation mode recognition with the Sussex-Huawei dataset L Wang, H Gjoreski, M Ciliberto, S Mekki, S Valentin, D Roggen IEEE Access 7, 10870-10891, 2019 | 141 | 2019 |
| 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 | 91 | 2015 |
| Summary of the sussex-huawei locomotion-transportation recognition challenge L Wang, H Gjoreskia, K Murao, T Okita, D Roggen Proceedings of the 2018 ACM international joint conference and 2018 …, 2018 | 86 | 2018 |
| Comparing deep and classical machine learning methods for human activity recognition using wrist accelerometer H Gjoreski, J Bizjak, M Gjoreski, M Gams Proceedings of the IJCAI 2016 Workshop on Deep Learning for Artificial …, 2016 | 82 | 2016 |
| Summary of the Sussex-Huawei locomotion-transportation recognition challenge 2020 L Wang, H Gjoreski, M Ciliberto, P Lago, K Murao, T Okita, D Roggen Adjunct Proceedings of the 2020 ACM International Joint Conference on …, 2020 | 79 | 2020 |
| Efficient activity recognition and fall detection using accelerometers S Kozina, H Gjoreski, M Gams, M Luštrek Evaluating AAL Systems Through Competitive Benchmarking: International …, 2013 | 69 | 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 |
| 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 | 62 | 2015 |
| 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 | 53 | 2020 |
| 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 | 51 | 2013 |
| 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 | 48 | 2015 |
| Activity/Posture recognition using wearable sensors placed on different body locations H Gjoreski, M Gams Proceedings of (738) Signal and Image Processing and Applications, Crete …, 2011 | 45 | 2011 |
| 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 | 43 | 2014 |
| Houseec: Day-ahead household electrical energy consumption forecasting using deep learning I Kiprijanovska, S Stankoski, I Ilievski, S Jovanovski, M Gams, H Gjoreski Energies 13 (10), 2672, 2020 | 40 | 2020 |
| Unsupervised online activity discovery using temporal behaviour assumption H Gjoreski, D Roggen Proceedings of the 2017 ACM International Symposium on Wearable Computers, 42-49, 2017 | 38 | 2017 |
Matjaz GamsJozef Stefan InstituteVerified email at ijs.si
