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Jens Lundström
Jens Lundström
Data Scientist at Convergia Consulting
Verified email at convergia-consulting.io - Homepage
Title
Cited by
Cited by
Year
Advances in computational intelligence-based print quality assessment and control in offset colour printing
A Verikas, J Lundström, M Bacauskiene, A Gelzinis
Expert Systems with Applications 38 (10), 13441-13447, 2011
622011
Assessing print quality by machine in offset colour printing
J Lundström, A Verikas
Knowledge-Based Systems 37, 70-79, 2013
562013
Detecting and exploring deviating behaviour of smart home residents
J Lundström, E Järpe, A Verikas
Expert Systems with Applications 55, 429-440, 2016
532016
Literature review on transfer learning for human activity recognition using mobile and wearable devices with environmental technology
N Hernandez, J Lundström, J Favela, I McChesney, B Arnrich
SN Computer Science 1 (2), 66, 2020
512020
Robustness of deep convolutional neural networks for image recognition
M Uličný, J Lundström, S Byttner
Intelligent Computing Systems: First International Symposium, ISICS 2016 …, 2016
322016
Efficacy of imbalanced data handling methods on deep learning for smart homes environments
RA Hamad, M Kimura, J Lundström
SN Computer Science 1 (4), 204, 2020
302020
Assessing, exploring, and monitoring quality of offset colour prints
J Lundström, A Verikas, E Tullander, B Larsson
Measurement 46 (4), 1427-1441, 2013
242013
A mobile application for easy design and testing of algorithms to monitor physical activity in the workplace
S Spinsante, A Angelici, J Lundström, M Espinilla, I Cleland, C Nugent
Mobile Information Systems 2016, 2016
222016
Smart home simulation using avatar control and probabilistic sampling
J Lundström, J Synnott, E Järpe, CD Nugent
2015 IEEE International Conference on Pervasive Computing and Communication …, 2015
222015
Active in-database processing to support ambient assisted living systems
WO De Morais, J Lundström, N Wickström
Sensors 14 (8), 14765-14785, 2014
182014
A holistic smart home demonstrator for anomaly detection and response
J Lundström, WO de Morais, M Cooney
Pervasive Computing and Communication Workshops (PerCom Workshops), 2015 …, 2015
172015
Halmstad intelligent home-capabilities and opportunities
J Lundström, WO De Morais, M Menezes, C Gabrielli, J Bentes, ...
Internet of Things Technologies for HealthCare: Third International …, 2016
162016
Stability analysis of the t-SNE algorithm for human activity pattern data
RA Hamad, E Järpe, J Lundström
2018 IEEE international conference on systems, man, and cybernetics (SMC …, 2018
152018
An initiative for the creation of open datasets within pervasive healthcare
C Nugent, I Cleland, A Santanna, M Espinilla, J Synnott, O Banos, ...
10th EAI International Conference on Pervasive Computing Technologies for …, 2016
152016
Environment simulation for the promotion of the open data initiative
J Synnott, C Nugent, S Zhang, A Calzada, I Cleland, M Espinilla, ...
2016 IEEE international conference on smart computing (SMARTCOMP), 1-6, 2016
122016
Trygg om natten
R Thörner, M Persson, H Eriksson, A Isaksson, J Lundström
Tech. Rep., 2011
102011
Detecting halftone dots for offset print quality assessment using soft computing
J Lundström, A Verikas
International Conference on Fuzzy Systems, 1-7, 2010
102010
Ambient Assisted Living for Improvement of Health and Quality of Life—A Special Issue of the Journal of Informatics
S Zhang, C Nugent, J Lundström, M Sheng
Informatics 5 (1), 4, 2018
82018
Predicting vehicle behavior using multi-task ensemble learning
R Khoshkangini, P Mashhadi, D Tegnered, J Lundström, T Rögnvaldsson
Expert systems with applications 212, 118716, 2023
62023
Complementing real datasets with simulated data: A regression-based approach
MA Ortiz-Barrios, J Lundström, J Synnott, E Järpe, A Sant’Anna
Multimedia Tools and Applications 79 (45), 34301-34324, 2020
62020
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