| Deep learning via semi-supervised embedding J Weston, F Ratle, R Collobert Proceedings of the 25th international conference on Machine learning, 1168-1175, 2008 | 1349 | 2008 |
| Active learning methods for remote sensing image classification D Tuia, F Ratle, F Pacifici, MF Kanevski, WJ Emery IEEE Transactions on Geoscience and Remote Sensing 47 (7), 2218-2232, 2009 | 615 | 2009 |
| Semisupervised neural networks for efficient hyperspectral image classification F Ratle, G Camps-Valls, J Weston IEEE Transactions on Geoscience and Remote Sensing 48 (5), 2271-2282, 2010 | 382 | 2010 |
| Multisource composite kernels for urban-image classification D Tuia, F Ratle, A Pozdnoukhov, G Camps-Valls IEEE Geoscience and Remote Sensing Letters 7 (1), 88-92, 2009 | 115 | 2009 |
| Scan statistics analysis of forest fire clusters D Tuia, F Ratle, R Lasaponara, L Telesca, M Kanevski Communications in Nonlinear Science and Numerical Simulation 13 (8), 1689-1694, 2008 | 64 | 2008 |
| Multi-pass speech recognition H Quast, M Gröber, MMJ De Wachter, FE Ratle, A Murugesan US Patent 8,606,581, 2013 | 45 | 2013 |
| Detection of clusters using space–time scan statistics M Tonini, D Tuia, F Ratle International Journal of Wildland Fire 18 (7), 830-836, 2009 | 37 | 2009 |
| Evolutionary operators for optimal gate location in liquid composite moulding F Ratle, V Achim, F Trochu Applied Soft Computing 9 (2), 817-823, 2009 | 37 | 2009 |
| Pattern detection in forensic case data using graph theory: Application to heroin cutting agents AL Terrettaz-Zufferey, F Ratle, O Ribaux, P Esseiva, M Kanevski Forensic science international 167 (2-3), 242-246, 2007 | 33 | 2007 |
| Advanced clustering methods for mining chemical databases in forensic science F Ratle, C Gagné, AL Terrettaz-Zufferey, M Kanevski, P Esseiva, O Ribaux Chemometrics and Intelligent Laboratory Systems 90 (2), 123-131, 2008 | 24 | 2008 |
| A comparison of one-class classifiers for novelty detection in forensic case data F Ratle, M Kanevski, AL Terrettaz-Zufferey, P Esseiva, O Ribaux International Conference on Intelligent Data Engineering and Automated …, 2007 | 21 | 2007 |
| Pattern analysis in illicit heroin seizures: a novel application of machine learning algorithms. F Ratle, AL Terrettaz, MF Kanevski, P Esseiva, O Ribaux ESANN, 665-670, 2006 | 15 | 2006 |
| Multi-objective optimization of a composite material spring design using an evolutionary algorithm F Ratle, B Lecarpentier, R Labib, F Trochu Parallel Problem Solving from Nature-PPSN VIII: 8th International Conference …, 2004 | 15 | 2004 |
| Learning manifolds in forensic data F Ratle, AL Terrettaz-Zufferey, M Kanevski, P Esseiva, O Ribaux International Conference on Artificial Neural Networks, 894-903, 2006 | 13 | 2006 |
| Assessment of data mining methods for forensic case data analysis AL Terrettaz-Zufferey, F Ratle, O Ribaux, P Esseiva, M Kanevski 6th Biennial International Criminal Justice Conference on Policing in …, 2006 | 11 | 2006 |
| Active learning of very-high resolution optical imagery with SVM: Entropy vs margin sampling D Tuia, F Ratle, F Pacifici, A Pozdnoukhov, M Kanevski, F Del Frate, ... IGARSS 2008-2008 IEEE International Geoscience and Remote Sensing Symposium …, 2008 | 10 | 2008 |
| Large-scale clustering through functional embedding F Ratle, J Weston, ML Miller Joint European Conference on Machine Learning and Knowledge Discovery in …, 2008 | 9 | 2008 |
| Spatial data analysis and mapping using machine learning algorithms F Ratle, A Pozdnoukhov, V Demyanov, V Timonin, E Savelieva Advanced Mapping of Environmental Data: Geostatistics, Machine Learning and …, 2008 | 7 | 2008 |
| Correction to" Active Learning Methods for Remote Sensing Image Classification"[Jul 09 2218-2232] D Tuia, F Ratle, F Pacifici, MF Kanevski, WJ Emery IEEE Transactions on Geoscience and Remote Sensing 48 (6), 2767-2767, 2010 | 3 | 2010 |
| Mixed spectral-structural classification of very high resolution images with summation kernels D Tuia, F Ratle Image and Signal Processing for Remote Sensing XIV 7109, 43-52, 2008 | 1 | 2008 |
