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BLSTM-based handwritten text recognition using Web resources.

, , , и . ICDAR, стр. 466-470. IEEE Computer Society, (2015)relocated from Tunis, Tunisia.

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Clement Amadu Sulemana

Nizamuddin Sulemankhel

Chamsi Sulemanlé

Laurence Lapopin

Laurence Germond

 

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Recognition of Arabic handwritten words using contextual character models., , и . DRR, том 6815 из SPIE Proceedings, стр. 681503. SPIE, (2008)Exploitation de l'échelle d'écriture pour améliorer la reconnaissance automatique des textes manuscrits arabe., , и . CORIA-CIFED, стр. 11-22. ARIA-GRCE, (2016)An Integrated Reading and Editing Environment for Scholarly Research on Literary Works and Their Handwritten Sources., , , , и . ACM DL, стр. 144-151. ACM, (1998)Context-dependent HMM modeling using tree-based clustering for the recognition of handwritten words., , и . DRR, том 7534 из SPIE Proceedings, стр. 75340I. SPIE, (2010)Handwriting and Drawing Features for Detecting Personality Traits., , , , , , , , , и . CogInfoCom, стр. 79-84. IEEE, (2019)Visual Representation of Online Handwriting Time Series for Deep Learning Parkinson's Disease Detection., , , и . ASAR@ICDAR, стр. 25-30. IEEE, (2019)Feature selection for an improved Parkinson's disease identification based on handwriting., , , и . ASAR, стр. 52-56. IEEE, (2017)The Biosecure Geometry-Based System for Hand Modality., , , и . ICASSP (1), стр. 801-804. IEEE, (2007)Is On-Line Handwriting Gender-Sensitive? What Tells us a Combination of Statistical and Machine Learning Approaches., , и . ICPRAI (1), том 13363 из Lecture Notes in Computer Science, стр. 287-298. Springer, (2022)Automatic Detection of Depressive States from Speech., , , , , , , и . Multidisciplinary Approaches to Neural Computing, том 69 из Smart Innovation, Systems and Technologies, Springer, (2018)