| Monitoring stress with a wrist device using context M Gjoreski, M Luštrek, M Gams, H Gjoreski Journal of biomedical informatics 73, 159-170, 2017 | 318 | 2017 |
| 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 | 236 | 2016 |
| Non-invasive blood pressure estimation from ECG using machine learning techniques M Simjanoska, M Gjoreski, M Gams, A Madevska Bogdanova Sensors 18 (4), 1160, 2018 | 165 | 2018 |
| 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 | 143 | 2016 |
| Machine learning and end-to-end deep learning for the detection of chronic heart failure from heart sounds M Gjoreski, A Gradišek, B Budna, M Gams, G Poglajen Ieee Access 8, 20313-20324, 2020 | 104 | 2020 |
| 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 | 97 | 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 | 90 | 2020 |
| 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 | 86 | 2016 |
| 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 | 67 | 2020 |
| 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 | 64 | 2020 |
| Chronic heart failure detection from heart sounds using a stack of machine-learning classifiers M Gjoreski, M Simjanoska, A Gradišek, A Peterlin, M Gams, G Poglajen 2017 International Conference on Intelligent Environments (IE), 14-19, 2017 | 54 | 2017 |
| Can we ditch feature engineering? end-to-end deep learning for affect recognition from physiological sensor data M Dzieżyc, M Gjoreski, P Kazienko, S Saganowski, M Gams Sensors 20 (22), 6535, 2020 | 40 | 2020 |
| A new frontier for activity recognition: The Sussex-Huawei locomotion challenge V Janko, N Rešçiç, M Mlakar, V Drobnič, M Gams, G Slapničar, M Gjoreski, ... Proceedings of the 2018 ACM International Joint Conference and 2018 …, 2018 | 33 | 2018 |
| Detection of artifacts in ambulatory electrodermal activity data S Gashi, E Di Lascio, B Stancu, VD Swain, V Mishra, M Gjoreski, S Santini Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …, 2020 | 32 | 2020 |
| Machine learning approach for emotion recognition in speech M Gjoreski, H Gjoreski, A Kulakov Informatica, 2014 | 28 | 2014 |
| My watch says I'm busy: Inferring cognitive load with low-cost wearables M Gjoreski, M Luštrek, V Pejović Proceedings of the 2018 ACM International Joint Conference and 2018 …, 2018 | 25 | 2018 |
| Cross-dataset deep transfer learning for activity recognition M Gjoreski, S Kalabakov, M Luštrek, M Gams, H Gjoreski Adjunct proceedings of the 2019 ACM international joint conference on …, 2019 | 23 | 2019 |
| Cognitive load monitoring with wearables–lessons learned from a machine learning challenge M Gjoreski, B Mahesh, T Kolenik, J Uwe-Garbas, D Seuss, H Gjoreski, ... IEEE Access 9, 103325-103336, 2021 | 22 | 2021 |
| Applying multiple knowledge to Sussex-Huawei locomotion challenge M Gjoreski, V Janko, N Reščič, M Mlakar, M Luštrek, J Bizjak, G Slapničar, ... Proceedings of the 2018 ACM International Joint Conference and 2018 …, 2018 | 22 | 2018 |
| Deep affect recognition from RR intervals M Gjoreski, H Gjoreski, M Luštrek, M Gams Proceedings of the 2017 ACM international joint conference on pervasive and …, 2017 | 22 | 2017 |
Matjaz GamsJozef Stefan InstituteDirección de correo verificada de ijs.si
