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Author
Title
Year
Publication
Volume
Pages
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Francisco Cruz; Oriol Ramos Terrades
A probabilistic framework for handwritten text line segmentation
2018
Arxiv
H. Chouaib; Oriol Ramos Terrades; Salvatore Tabbone; F. Cloppet; N. Vincent
Feature Selection Combining Genetic Algorithm and Adaboost Classifiers
2008
19th International Conference on Pattern Recognition
1-4
Francisco Cruz; Oriol Ramos Terrades
Handwritten Line Detection via an EM Algorithm
2013
12th International Conference on Document Analysis and Recognition
718-722
Francisco Cruz
Probabilistic Graphical Models for Document Analysis
2016
PhD Thesis, Universitat Autonoma de Barcelona-CVC
Manuel Carbonell; Pau Riba; Mauricio Villegas; Alicia Fornes; Josep Llados
Named Entity Recognition and Relation Extraction with Graph Neural Networks in Semi Structured Documents
2020
25th International Conference on Pattern Recognition
Jialuo Chen; M.A.Souibgui; Alicia Fornes; Beata Megyesi
A Web-based Interactive Transcription Tool for Encrypted Manuscripts
2020
3rd International Conference on Historical Cryptology
52-59
Jialuo Chen; Mohamed Ali Souibgui; Alicia Fornes; Beata Megyesi
Unsupervised Alphabet Matching in Historical Encrypted Manuscript Images
2021
4th International Conference on Historical Cryptology
34-37
H. Chouaib; Salvatore Tabbone; Oriol Ramos Terrades; F. Cloppet; N. Vincent; A.T. Thierry Paquet
Sélection de Caractéristiques à partir d'un algorithme génétique et d'une combinaison de classifieurs Adaboost
2008
Colloque International Francophone sur l'Ecrit et le Document
181-186
Manuel Carbonell; Mauricio Villegas; Alicia Fornes; Josep Llados
Joint Recognition of Handwritten Text and Named Entities with a Neural End-to-end Model
2018
13th IAPR International Workshop on Document Analysis Systems
399-404
Alloy Das; Sanket Biswas; Ayan Banerjee; Josep Llados; Umapada Pal; Saumik Bhattacharya
Harnessing the Power of Multi-Lingual Datasets for Pre-training: Towards Enhancing Text Spotting Performance
2024
Winter Conference on Applications of Computer Vision
718-728
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