Spremljaj
Matjaz Gams
Matjaz Gams
Preverjeni e-poštni naslov na ijs.si
Naslov
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Leto
Monitoring stress with a wrist device using context
M Gjoreski, M Luštrek, M Gams, H Gjoreski
Journal of biomedical informatics 73, 159-170, 2017
3072017
Accelerometer placement for posture recognition and fall detection
H Gjoreski, M Lustrek, M Gams
2011 Seventh International Conference on Intelligent Environments, 47-54, 2011
2922011
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
2282016
An agent-based approach to care in independent living
B Kaluža, V Mirchevska, E Dovgan, M Luštrek, M Gams
Ambient Intelligence: First International Joint Conference, AmI 2010, Malaga …, 2010
1982010
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
1612018
Automatic recognition of gait-related health problems in the elderly using machine learning
B Pogorelc, Z Bosnić, M Gams
Multimedia tools and applications 58, 333-354, 2012
1552012
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
1442016
Artificial intelligence and ambient intelligence
M Gams, IYH Gu, A Härmä, A Muñoz, V Tam
Journal of Ambient Intelligence and Smart Environments 11 (1), 71-86, 2019
1162019
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
1002020
Transforming arbitrary tables into logical form with TARTAR
A Pivk, P Cimiano, Y Sure, M Gams, V Rajkovič, R Studer
Data & Knowledge Engineering 60 (3), 567-595, 2007
1002007
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
952015
New measurements highlight the importance of redundant knowledge
M Gams
Proceedings of the 4th European Working Session on Learning (EWSL89), 71-80, 1989
931989
Learning in distributed systems and multi-agent environments
P Brazdil, M Gams, S Sian, L Torgo, W Van de Velde
Machine Learning—EWSL-91: European Working Session on Learning Porto …, 1991
891991
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
872016
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
852020
What makes classification trees comprehensible?
M Luštrek, M Gams, S Martinčić-Ipšić
Expert Systems with Applications 62, 333-346, 2016
772016
Efficient activity recognition and fall detection using accelerometers
S Kozina, H Gjoreski, M Gams, M Luštrek
Evaluating AAL Systems Through Competitive Benchmarking: International …, 2013
702013
Detecting falls with location sensors and accelerometers
M Luštrek, H Gjoreski, S Kozina, B Cvetkovic, V Mirchevska, M Gams
Proceedings of the AAAI Conference on Artificial Intelligence 25 (2), 1662-1667, 2011
672011
Context-based ensemble method for human energy expenditure estimation
H Gjoreski, B Kaluža, M Gams, R Milić, M Luštrek
Applied Soft Computing 37, 960-970, 2015
632015
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
612020
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