Martin Gjoreski
Title
Cited by
Cited by
Year
Monitoring stress with a wrist device using context
M Gjoreski, M Luštrek, M Gams, H Gjoreski
Journal of biomedical informatics 73, 159-170, 2017
1042017
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
912016
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
872016
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
422018
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
402015
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
342016
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
132018
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
122018
Machine learning approach for emotion recognition in speech
M Gjoreski, H Gjoreski, A Kulakov
Informatica 38 (4), 2014
122014
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
102020
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
92018
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
92017
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
92015
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
82017
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
72019
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
62020
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
62019
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
62017
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
52020
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
52018
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