| Monitoring stress with a wrist device using context M Gjoreski, M Luštrek, M Gams, H Gjoreski Journal of biomedical informatics 73, 159-170, 2017 | 104 | 2017 |
| 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 | 91 | 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 | 87 | 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 | 42 | 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 | 40 | 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 | 34 | 2016 |
| 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 | 13 | 2018 |
| 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 | 12 | 2018 |
| Machine learning approach for emotion recognition in speech M Gjoreski, H Gjoreski, A Kulakov Informatica 38 (4), 2014 | 12 | 2014 |
| 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, 2020 | 10 | 2020 |
| 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 | 9 | 2018 |
| 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 | 9 | 2017 |
| Recognizing atomic activities with wrist-worn accelerometer using machine learning M Gjoreski, H Gjoreski, M Luštrek, M Gams Proceedings of the 18th International Multiconference Information Society …, 2015 | 9 | 2015 |
| 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 | 8 | 2017 |
| 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 | 7 | 2019 |
| 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 | 6 | 2020 |
| 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 | 6 | 2019 |
| 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 | 6 | 2017 |
| 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 | 5 | 2020 |
| ECG-derived Blood Pressure Classification using Complexity Analysis-based Machine Learning. M Simjanoska, M Gjoreski, AM Bogdanova, B Koteska, M Gams, JF Tasic HEALTHINF, 282-292, 2018 | 5 | 2018 |
Matjaz GamsJozef Stefan InstituteVerified email at ijs.si
