Kaj-Mikael Björk
Kaj-Mikael Björk
Head of Risklab, Principal lecturer, Arcada University of Applied Sciences
Verifierad e-postadress på arcada.fi
Citeras av
Citeras av
High-performance extreme learning machines: a complete toolbox for big data applications
A Akusok, KM Björk, Y Miche, A Lendasse
IEEE Access 3, 1011-1025, 2015
Global optimization of heat exchanger network synthesis problems with and without the isothermal mixing assumption
KM Björk, T Westerlund
Computers & Chemical Engineering 26 (11), 1581-1593, 2002
Extreme learning machine for missing data using multiple imputations
D Sovilj, E Eirola, Y Miche, KM Björk, R Nian, A Akusok, A Lendasse
Neurocomputing 174, 220-231, 2016
Solving large-scale retrofit heat exchanger network synthesis problems with mathematical optimization methods
KM Björk, R Nordman
Chemical Engineering and Processing: Process Intensification 44 (8), 869-876, 2005
An analytical solution to a fuzzy economic order quantity problem
KM Björk
International journal of approximate reasoning 50 (3), 485-493, 2009
Some convexifications in global optimization of problems containing signomial terms
KM Björk, PO Lindberg, T Westerlund
Computers & Chemical Engineering 27 (5), 669-679, 2003
Global solution of optimization problems with signomial parts
R Pörn, KM Björk, T Westerlund
Discrete optimization 5 (1), 108-120, 2008
Optimization of large-scale heat exchanger network synthesis problems.
KM Björk, F Pettersson
Modelling and Simulation 2003, 313-318, 2003
A multi-item fuzzy economic production quantity problem with a finite production rate
KM Björk
International Journal of Production Economics 135 (2), 702-707, 2012
The effect of flexible lead times on a paper producer
KM Björk, C Carlsson
International Journal of Production Economics 107 (1), 139-150, 2007
Scikit-elm: an extreme learning machine toolbox for dynamic and scalable learning
A Akusok, LE Leal, KM Björk, A Lendasse
Proceedings of ELM2019 9, 69-78, 2021
Arbitrary category classification of websites based on image content
A Akusok, Y Miche, J Karhunen, KM Bjork, R Nian, A Lendasse
IEEE Computational Intelligence Magazine 10 (2), 30-41, 2015
Machine learning techniques for acid sulfate soil mapping in southeastern Finland
V Estévez, A Beucher, S Mattbäck, A Boman, J Auri, KM Björk, ...
Geoderma 406, 115446, 2022
SOM-ELM—self-organized clustering using ELM
Y Miche, A Akusok, D Veganzones, KM Björk, E Séverin, P du Jardin, ...
Neurocomputing 165, 238-254, 2015
The outcome of flexible lead times on the distributors
KM Bjork, C Carlsson
Proceedings of the 38th Annual Hawaii International Conference on System …, 2005
ELMVIS+: Fast nonlinear visualization technique based on cosine distance and extreme learning machines
A Akusok, S Baek, Y Miche, KM Björk, R Nian, P Lauren, A Lendasse
Neurocomputing 205, 247-263, 2016
Brain MRI morphological patterns extraction tool based on Extreme Learning Machine and majority vote classification
M Termenon, M Graña, A Savio, A Akusok, Y Miche, KM Björk, ...
Neurocomputing 174, 344-351, 2016
Forging new frontiers: Fuzzy pioneers I
M Nikravesh, LA Zadeh
Springer, 2007
A machine-learning-enhanced hierarchical multiscale method for bridging from molecular dynamics to continua
S Xiao, R Hu, Z Li, S Attarian, KM Björk, A Lendasse
Neural Computing and Applications 32, 14359-14373, 2020
Manifold learning in local tangent space via extreme learning machine
Q Wang, W Wang, R Nian, B He, Y Shen, KM Björk, A Lendasse
Neurocomputing 174, 18-30, 2016
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