Satu Tamminen
Satu Tamminen
Research scientist, University of Oulu
Verified email at
Cited by
Cited by
Personalised assistance for fuel-efficient driving
E Gilman, A Keskinarkaus, S Tamminen, S Pirttikangas, J Röning, ...
Transportation Research Part C: Emerging Technologies 58, 681-705, 2015
Data Mining Methods in Hot Steel Rolling for Scale Defect Prediction.
J Haapamäki, S Tamminen, J Röning
Artificial Intelligence and Applications, 90-94, 2005
Comparing regression trees with neural networks in aerobic fitness approximation
S Tamminen, P Laurinen, J Röning
Proceedings of the international computing sciences conference symposium on …, 1999
Enhancing veracity of IoT generated big data in decision making
X Liu, S Tamminen, X Su, P Siirtola, J Röning, J Riekki, J Kiljander, ...
2018 IEEE International Conference on Pervasive Computing and Communications …, 2018
Exceedance probability score: A novel measure for comparing probabilistic predictions
I Juutilainen, S Tamminen, J Röning
Journal of Statistical Theory and Practice 6 (3), 452-467, 2012
Self-organizing maps in adaptive health monitoring
S Tamminen, S Pirttikangas, J Roning
Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural …, 2000
Exceedance probability estimation for a quality test consisting of multiple measurements
S Tamminen, I Juutilainen, J Röning
Expert systems with applications 40 (11), 4577-4584, 2013
Internet of things for smart spaces: A university campus case study
E Gilman, S Tamminen, R Yasmin, E Ristimella, E Peltonen, M Harju, ...
Sensors 20 (13), 3716, 2020
Automatic recognition of steel plate side edge shape using classification and regression models
P Siirtola, S Tamminen, E Ferreira, H Tiensuu, E Prokkola, J Röning
Proc. 9th Eurosim Congress on Modelling and Simulation (EUROSIM 2016), 2016
A tutorial to developing statistical models for predicting disqualification probability
I Juutilainen, S Tamminen, J Röning
Computational Methods for Optimizing Manufacturing Technology: Models and …, 2012
Quantile regression model for impact toughness estimation
S Tamminen, I Juutilainen, J Röning
Industrial Conference on Data Mining, 263-276, 2010
Modelling of Charpy V test rejection probability
S Tamminen, I Juutilainen, J Röning
Ironmaking & Steelmaking 37 (1), 35-40, 2010
From measurements to knowledge-online quality monitoring and smart manufacturing
S Tamminen, H Tiensuu, E Ferreira, H Helaakoski, V Kyllönen, J Jokisaari, ...
Industrial Conference on Data Mining, 17-28, 2018
Density forecasting for failure probability in manufacturing
I Juutilainen, S Tamminen, J Röning
European Journal of Industrial Engineering 9 (4), 432-449, 2015
Prediction of sleep efficiency from big physical exercise data
X Liu, S Tamminen, T Korhonen, J Röning, J Riekki
Adjunct Proceedings of the 2019 ACM International Joint Conference on …, 2019
Ai enhanced alarm presentation for quality monitoring
S Tamminen, X Liu, H Tiensuu, E Ferreira, E Puukko, J Röning
2018 IEEE International Conference on Internet of Things (iThings) and IEEE …, 2018
Product design model for impact toughness estimation in steel plate manufacturing
S Tamminen, I Juutilainen, J Roning
2008 IEEE International Joint Conference on Neural Networks (IEEE World …, 2008
Deep Learning–Based Multimodal Data Fusion: Case Study in Food Intake Episodes Detection Using Wearable Sensors
N Bahador, D Ferreira, S Tamminen, J Kortelainen
JMIR mHealth and uHealth 9 (1), e21926, 2021
Fuel consumption analysis of driven trips with respect to route choice
E Gilman, S Tamminen, A Keskinarkaus, T Anagnostopoulos, X Su, ...
2020 IEEE 36th International Conference on Data Engineering Workshops (ICDEW …, 2020
Predicting the heart rate response to outdoor running exercise
X Liu, X Su, S Tamminen, T Korhonen, J Röning
2019 IEEE 32nd International Symposium on Computer-Based Medical Systems …, 2019
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