| A multi-model selection framework for unknown and/or evolutive misclassification cost problems C Chatelain, S Adam, Y Lecourtier, L Heutte, T Paquet Pattern Recognition 43 (3), 815-823, 2010 | 65* | 2010 |
| Learning to Detect Tables in Scanned Document Images using Line Information T Kasar, P Barlas, S Adam, C Chatelain, T Paquet ICDAR, 2013 | 63 | 2013 |
| A Deep HMM model for multiple keywords spotting in handwritten documents S Thomas, C Chatelain, L Heutte, T Paquet Pattern Analysis and Applications 18 (4), 1003-1015, 2015 | 33* | 2015 |
| Morphological changes in early melanoma development: influence of nutrients, growth inhibitors and cell-adhesion mechanisms C Chatelain, P Ciarletta, MB Amar Journal of theoretical biology 290, 46-59, 2011 | 31 | 2011 |
| Spotting L3 slice in CT scans using deep convolutional network and transfer learning S Belharbi, C Chatelain, R Hérault, S Adam, S Thureau, M Chastan, ... Computers in Biology and Medicine 87, 95-103, 2017 | 30 | 2017 |
| Segmentation-driven recognition applied to numerical field extraction from handwritten incoming mail documents C Chatelain, L Heutte, T Paquet International Workshop on Document Analysis Systems, 564-575, 2006 | 30 | 2006 |
| IODA: An input/output deep architecture for image labeling J Lerouge, R Hérault, C Chatelain, F Jardin, R Modzelewski Pattern Recognition 48 (9), 2847-2858, 2015 | 29 | 2015 |
| An information extraction model for unconstrained handwritten documents S Thomas, C Chatelain, L Heutte, T Paquet 2010 20th International Conference on Pattern Recognition, 3412-3415, 2010 | 28 | 2010 |
| Handwritten text line segmentation using fully convolutional network G Renton, C Chatelain, S Adam, C Kermorvant, T Paquet 2017 14th IAPR International Conference on Document Analysis and Recognition …, 2017 | 26 | 2017 |
| The Multiclass ROC Front method for cost-sensitive classification S Bernard, C Chatelain, S Adam, R Sabourin Pattern Recognition 52, 46-60, 2016 | 23 | 2016 |
| A two-stage outlier rejection strategy for numerical field extraction in handwritten documents C Chatelain, L Heutte, T Paquet ICPR, 224-227, 2006 | 23 | 2006 |
| Handwriting recognition using cohort of LSTM and lexicon verification with extremely large lexicon B Stuner, C Chatelain, T Paquet Multimedia Tools and Applications, 1-21, 2020 | 21* | 2020 |
| Gesture sequence recognition with one shot learned CRF/HMM hybrid model S Belgacem, C Chatelain, T Paquet Image and Vision Computing 61, 12-21, 2017 | 21 | 2017 |
| Extraction de séquences numériques dans des documents manuscrits quelconques C Chatelain PhD, 2006 | 21 | 2006 |
| A hybrid crf/hmm for one-shot gesture learning S Belgacem, C Chatelain, T Paquet Adaptive Biometric Systems, 51-72, 2015 | 20* | 2015 |
| A typed and handwritten text block segmentation system for heterogeneous and complex documents P Barlas, S Adam, C Chatelain, T Paquet Document Analysis Systems (DAS), 2014 11th IAPR International Workshop on, 46-50, 2014 | 20 | 2014 |
| A syntax-directed method for numerical field extraction using classifier combination C Chatelain, L Heutte, T Paquet Ninth International Workshop on Frontiers in Handwriting Recognition, 93-98, 2004 | 17 | 2004 |
| Fully convolutional network with dilated convolutions for handwritten text line segmentation G Renton, Y Soullard, C Chatelain, S Adam, C Kermorvant, T Paquet International Journal on Document Analysis and Recognition (IJDAR) 21 (3 …, 2018 | 16 | 2018 |
| Fully convolutional network with dilated convolutions for handwritten text line segmentation G Renton, Y Soullard, C Chatelain, S Adam, C Kermorvant, T Paquet International Journal on Document Analysis and Recognition (IJDAR) 21 (3 …, 2018 | 16 | 2018 |
| Deep neural networks regularization for structured output prediction S Belharbi, R Hérault, C Chatelain, S Adam Neurocomputing 281, 169-177, 2018 | 14* | 2018 |
Thierry PaquetUniversity of Rouen Normandie, LITISVerified email at univ-rouen.fr
