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 | 311 | 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 | 167 | 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 | 135 | 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 | 121 | 2005 |

An analytical solution to a fuzzy economic order quantity problem KM Björk International journal of approximate reasoning 50 (3), 485-493, 2009 | 113 | 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 | 66 | 2003 |

Optimization of large-scale heat exchanger network synthesis problems. KM Björk, F Pettersson Modelling and Simulation 2003, 313-318, 2003 | 64 | 2003 |

Global solution of optimization problems with signomial parts R Pörn, KM Björk, T Westerlund Discrete optimization 5 (1), 108-120, 2008 | 61 | 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 |

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 |

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 | 35 | 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 | 34 | 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 | 31 | 2022 |

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 | 28 | 2020 |

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 | 27 | 2015 |

Forging new frontiers: Fuzzy pioneers I M Nikravesh, LA Zadeh Springer, 2007 | 27 | 2007 |

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 | 25 | 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 |