| GNU Scientific Library: Reference Manual F Rossi, M Booth, G Jungman, B Gough, J Theiler, J Davies, M Galassi Network Theory Limited, 2001 | 3228* | 2001 |
| Mean Absolute Percentage Error for regression models A de Myttenaere, B Golden, B Le Grand, F Rossi Neurocomputing 192, 38-48, 2016 | 1260 | 2016 |
| Support vector machine for functional data classification F Rossi, N Villa Neurocomputing 69 (7-9), 730-742, 2006 | 298 | 2006 |
| The state of the art in integrating machine learning into visual analytics A Endert, W Ribarsky, C Turkay, BLW Wong, I Nabney, ID Blanco, F Rossi Computer Graphics Forum 36 (8), 458-486, 2017 | 277 | 2017 |
| Mutual information for the selection of relevant variables in spectrometric nonlinear modelling F Rossi, A Lendasse, D François, V Wertz, M Verleysen Chemometrics and Intelligent Laboratory Systems 80 (2), 215-226, 2006 | 274 | 2006 |
| The state of the art in enhancing trust in machine learning models with the use of visualizations A Chatzimparmpas, RM Martins, I Jusufi, K Kucher, F Rossi, A Kerren Computer Graphics Forum 39 (3), 713-756, 2020 | 168 | 2020 |
| Representation of functional data in neural networks F Rossi, N Delannay, B Conan-Guez, M Verleysen Neurocomputing 64, 183-210, 2005 | 165 | 2005 |
| Resampling methods for parameter-free and robust feature selection with mutual information D François, F Rossi, V Wertz, M Verleysen Neurocomputing 70 (7-9), 1276-1288, 2007 | 163 | 2007 |
| Batch kernel SOM and related Laplacian methods for social network analysis R Boulet, B Jouve, F Rossi, N Villa Neurocomputing 71 (7-9), 1257-1273, 2008 | 150 | 2008 |
| Functional multi-layer perceptron: a non-linear tool for functional data analysis F Rossi, B Conan-Guez Neural networks 18 (1), 45-60, 2005 | 140 | 2005 |
| Clustering functional data with the SOM algorithm F Rossi, B Conan-Guez, A El Golli Proceedings of ESANN, 305-312, 2004 | 105 | 2004 |
| Feature clustering and mutual information for the selection of variables in spectral data C Krier, D François, F Rossi, M Verleysen, F Chesnay Cedex ESANN 2007, European Symposium on Artificial Neural Networks, 157-162, 2007 | 81 | 2007 |
| A bag-of-paths framework for network data analysis K Françoisse, I Kivimäki, A Mantrach, F Rossi, M Saerens Neural Networks 90, 90-111, 2017 | 60 | 2017 |
| Theoretical and applied aspects of the self-organizing maps M Cottrell, M Olteanu, F Rossi, N Villa-Vialaneix Advances in Self-Organizing Maps and Learning Vector Quantization …, 2016 | 59 | 2016 |
| Multilayer perceptron on interval data F Rossi, B Conan-Guez Classification, Clustering, and Data Analysis (IFCS 2002), 427-434, 2002 | 59 | 2002 |
| Fast algorithm and implementation of dissimilarity self-organizing maps B Conan-Guez, F Rossi, A El Golli Neural Networks 19 (6-7), 855-863, 2006 | 58 | 2006 |
| Seeing is believing: The importance of visualization in real-world machine learning applications A Vellido Alcacena, JD Martín, F Rossi, PJG Lisboa Proceedings: 19th European Symposium on Artificial Neural Networks …, 2011 | 56 | 2011 |
| Exploratory analysis of functional data via clustering and optimal segmentation G Hébrail, B Hugueney, Y Lechevallier, F Rossi Neurocomputing 73 (7-9), 1125-1141, 2010 | 56 | 2010 |
| Self-OrganizingMaps, theory and applications M Cottrell, M Olteanu, F Rossi, N Villa-Vialaneix Revista de Investigacion Operacional 39 (1), 1-22, 2018 | 55 | 2018 |
| Fast selection of spectral variables with b-spline compression F Rossi, D François, V Wertz, M Meurens, M Verleysen Chemometrics and intelligent laboratory systems 86 (2), 208-218, 2007 | 54 | 2007 |
Michel VerleysenUniversité catholique de Louvain, ICTEAM, EPL在 uclouvain.be 的电子邮件经过验证
