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Martin Gjoreski
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Monitoring stress with a wrist device using context
M Gjoreski, M Luštrek, M Gams, H Gjoreski
Journal of biomedical informatics 73, 159-170, 2017
2582017
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
1952016
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
1342016
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
1302018
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
852015
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
812020
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
772016
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
702020
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
472020
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
422020
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
352017
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
302018
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
262020
Machine learning approach for emotion recognition in speech
M Gjoreski, H Gjoreski, A Kulakov
Informatica, 2014
232014
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
222020
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
222018
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
202019
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
202018
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
182019
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
182017
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Articles 1–20