| 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 | 296 | 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 | 162 | 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 | 122 | 2016 |
| An analytical solution to a fuzzy economic order quantity problem KM Björk International journal of approximate reasoning 50 (3), 485-493, 2009 | 116 | 2009 |
| 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 | 112 | 2005 |
| Some convexifications in global optimization of problems containing signomial terms KM Björk, PO Lindberg, T Westerlund Computers & Chemical Engineering 27 (5), 669-679, 2003 | 66 | 2003 |
| Global solution of optimization problems with signomial parts R Pörn, KM Björk, T Westerlund Discrete optimization 5 (1), 108-120, 2008 | 60 | 2008 |
| 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 | 55 | 2012 |
| Optimization of large-scale heat exchanger network synthesis problems. KM Björk, F Pettersson Modelling and Simulation 2003, 313-318, 2003 | 55 | 2003 |
| The effect of flexible lead times on a paper producer KM Björk, C Carlsson International Journal of Production Economics 107 (1), 139-150, 2007 | 46 | 2007 |
| 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 | 29 | 2015 |
| 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 | 26 | 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 | 26 | 2005 |
| The outcome of flexible lead times on the distributors KM Bjork, C Carlsson Proceedings of the 38th Annual Hawaii International Conference on System …, 2005 | 26 | 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 | 25 | 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 | 24 | 2016 |
| 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 | 24 | 2016 |
| 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 | 23 | 2021 |
| MD-ELM: originally mislabeled samples detection using OP-ELM model A Akusok, D Veganzones, Y Miche, KM Björk, P Du Jardin, E Severin, ... Neurocomputing 159, 242-250, 2015 | 23 | 2015 |
| Forging new frontiers: Fuzzy pioneers I M Nikravesh, LA Zadeh Springer, 2007 | 23 | 2007 |
