| Extreme learning machines [trends & controversies] E Cambria, GB Huang, LLC Kasun, H Zhou, CM Vong, J Lin, J Yin, Z Cai, ... IEEE intelligent systems 28 (6), 30-59, 2013 | 458 | 2013 |
| 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 | 319 | 2015 |
| 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 | 140 | 2016 |
| Adaptive and online network intrusion detection system using clustering and extreme learning machines S Roshan, Y Miche, A Akusok, A Lendasse Journal of the Franklin Institute 355 (4), 1752-1779, 2018 | 118 | 2018 |
| A two-stage methodology using K-NN and false-positive minimizing ELM for nominal data classification A Akusok, Y Miche, J Hegedus, R Nian, A Lendasse Cognitive Computation 6 (3), 432-445, 2014 | 45 | 2014 |
| 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 | 36 | 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 | 36 | 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 | 27 | 2015 |
| 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 |
| Website classification from webpage renders L Espinosa-Leal, A Akusok, A Lendasse, KM Björk Proceedings of ELM2019 9, 41-50, 2021 | 24 | 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 |
| A web page classifier library based on random image content analysis using deep learning LE Leal, KM Björk, A Lendasse, A Akusok Proceedings of the 11th PErvasive Technologies Related to Assistive …, 2018 | 20 | 2018 |
| Extreme learning machine: A robust modeling technique? Yes! A Lendasse, A Akusok, O Simula, F Corona, M van Heeswijk, E Eirola, ... Advances in Computational Intelligence: 12th International Work-Conference …, 2013 | 19 | 2013 |
| Extreme learning machines for multiclass classification: refining predictions with gaussian mixture models E Eirola, A Gritsenko, A Akusok, KM Björk, Y Miche, D Sovilj, R Nian, B He, ... Advances in Computational Intelligence: 13th International Work-Conference …, 2015 | 15 | 2015 |
| Finding Originally Mislabels with MD-ELM. A Akusok, D Veganzones, Y Miche, E Séverin, A Lendasse ESANN, 2014 | 13 | 2014 |
| Image-based classification of websites A Akusok, A Grigorievskiy, A Lendasse, Y Miche, T Villmann, F Schleif Machine Learning Reports 2, 25-34, 2013 | 13 | 2013 |
| Extreme learning machines for signature verification L Espinosa-Leal, A Akusok, A Lendasse, KM Björk Proceedings of ELM2019 9, 31-40, 2021 | 12 | 2021 |
| High-performance ELM for memory constrained edge computing devices with metal performance shaders A Akusok, LE Leal, KM Björk, A Lendasse Proceedings of ELM2019 9, 79-88, 2021 | 11 | 2021 |
| ELM-SOM: a continuous self-organizing map for visualization R Hu, V Roshdibenam, HJ Johnson, E Eirola, A Akusok, Y Miche, ... 2018 international joint conference on neural Networks (IJCNN), 1-8, 2018 | 10 | 2018 |