| ELMVIS: a nonlinear visualization technique using random permutations A Akusok, A Lendasse, F Corona, R Nian, Y Miche IEEE intelligent systems 28 (6), 41-46, 2013 | 456* | 2013 |
| Data-derived soft-sensors for biological wastewater treatment plants: An overview H Haimi, M Mulas, F Corona, R Vahala Environmental modelling & software 47, 88-107, 2013 | 297 | 2013 |
| Accelerated isotope fine structure calculation using pruned transition trees M Loos, C Gerber, F Corona, J Hollender, H Singer Analytical chemistry 87 (11), 5738-5744, 2015 | 228 | 2015 |
| Scenario simulations of future salinity and ecological consequences in the Baltic Sea and adjacent North Sea areas–implications for environmental monitoring I Vuorinen, J Hänninen, M Rajasilta, P Laine, J Eklund, ... Ecological indicators 50, 196-205, 2015 | 180 | 2015 |
| Nitrous oxide production at a fully covered wastewater treatment plant: results of a long-term online monitoring campaign H Kosonen, M Heinonen, A Mikola, H Haimi, M Mulas, F Corona, ... Environmental science & technology 50 (11), 5547-5554, 2016 | 108 | 2016 |
| Extreme learning machines for soybean classification in remote sensing hyperspectral images R Moreno, F Corona, A Lendasse, M Graña, LS Galvão Neurocomputing 128, 207-216, 2014 | 101 | 2014 |
| Muscle ischemic preconditioning does not improve performance during self-paced exercise F Tocco, E Marongiu, G Ghiani, I Sanna, G Palazzolo, S Olla, M Pusceddu, ... International journal of sports medicine 36 (01), 9-15, 2015 | 94 | 2015 |
| Minimal learning machine: A novel supervised distance-based approach for regression and classification AH de Souza Junior, F Corona, GA Barreto, Y Miche, A Lendasse Neurocomputing 164, 34-44, 2015 | 82 | 2015 |
| Predictive control of an activated sludge process: An application to the Viikinmäki wastewater treatment plant M Mulas, S Tronci, F Corona, H Haimi, P Lindell, M Heinonen, R Vahala, ... Journal of Process Control 35, 89-100, 2015 | 76 | 2015 |
| Using the Delta Test for Variable Selection. E Eirola, E Liitiäinen, A Lendasse, F Corona, M Verleysen ESANN, 25-30, 2008 | 65 | 2008 |
| Residual variance estimation using a nearest neighbor statistic E Liitiäinen, F Corona, A Lendasse Journal of Multivariate Analysis 101 (4), 811-823, 2010 | 58 | 2010 |
| On nonparametric residual variance estimation E Liitiäinen, F Corona, A Lendasse Neural Processing Letters 28, 155-167, 2008 | 54 | 2008 |
| Adaptive data-derived anomaly detection in the activated sludge process of a large-scale wastewater treatment plant H Haimi, M Mulas, F Corona, S Marsili-Libelli, P Lindell, M Heinonen, ... Engineering Applications of Artificial Intelligence 52, 65-80, 2016 | 50 | 2016 |
| Monitoring nitrate concentrations in the denitrifying post-filtration unit of a municipal wastewater treatment plant F Corona, M Mulas, H Haimi, L Sundell, M Heinonen, R Vahala Journal of Process Control 23 (2), 158-170, 2013 | 47 | 2013 |
| Residual variance estimation in machine learning E Liitiäinen, M Verleysen, F Corona, A Lendasse Neurocomputing 72 (16-18), 3692-3703, 2009 | 47 | 2009 |
| Non-parametric residual variance estimation in supervised learning E Liitiäinen, A Lendasse, F Corona International Work-Conference on Artificial Neural Networks, 63-71, 2007 | 40 | 2007 |
| On the topological modeling and analysis of industrial process data using the SOM F Corona, M Mulas, R Baratti, JA Romagnoli Computers & Chemical Engineering 34 (12), 2022-2032, 2010 | 35 | 2010 |
| Mortalidade por hanseníase em contextos de alta endemicidade: análise espaço-temporal integrada no Brasil AF Ferreira, EA de Souza, M da Silveira Lima, GSM García, F Corona, ... Revista Panamericana de Salud Pública 43, 2019 | 33 | 2019 |
| Bounds on the mean power-weighted nearest neighbour distance E Liitiäinen, A Lendasse, F Corona Proceedings of the Royal Society A: Mathematical, Physical and Engineering …, 2008 | 29 | 2008 |
| Shall we use hardware sensor measurements or soft-sensor estimates? Case study in a full-scale WWTP H Haimi, F Corona, M Mulas, L Sundell, M Heinonen, R Vahala Environmental Modelling & Software 72, 215-229, 2015 | 27 | 2015 |