| Monitoring stress with a wrist device using context M Gjoreski, M Luštrek, M Gams, H Gjoreski Journal of biomedical informatics 73, 159-170, 2017 | 186 | 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 | 147 | 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 | 116 | 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 | 90 | 2018 |
| 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 | 69 | 2015 |
| 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 | 67 | 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 | 45 | 2020 |
| 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 | 38 | 2020 |
| 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 | 25 | 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 | 24 | 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 | 22 | 2018 |
| Machine learning approach for emotion recognition in speech M Gjoreski, H Gjoreski, A Kulakov Informatica 38 (4), 2014 | 22 | 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 | 19 | 2018 |
| 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 | 18 | 2017 |
| 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 | 17 | 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 | 16 | 2019 |
| Cross-location transfer learning for the sussex-huawei locomotion recognition challenge V Janko, M Gjoreski, CM De Masi, N Reščič, M Luštrek, M Gams Adjunct Proceedings of the 2019 ACM International Joint Conference on …, 2019 | 15 | 2019 |
| Real-time physical activity and mental stress management with a wristband and a smartphone B Cvetković, M Gjoreski, J Šorn, P Maslov, M Kosiedowski, M Bogdański, ... Proceedings of the 2017 ACM International Joint Conference on Pervasive and …, 2017 | 15 | 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 | 13 | 2020 |
| An inter-domain study for arousal recognition from physiological signals M Gjoreski, B Mitrevski, M Luštrek, M Gams Informatica 42 (1), 2018 | 11 | 2018 |
Matjaz GamsJozef Stefan InstituteVerified email at ijs.si
