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ORCID3rd ASAR@ICDAR 2019: Sydney, Australia
- 3rd International Workshop on Arabic and derived Script Analysis and Recognition, ASAR@ICDAR 2019, Sydney, Australia, September 22-25, 2019. IEEE 2019, ISBN 978-1-7281-5054-3
- Niddal H. Imam, Vassilios G. Vassilakis:
Detecting Spam Images with Embedded Arabic Text in Twitter. 1-6 - Samia Snoussi Maddouri, Bushra Al-Anesi, Zainah Bokhari, Roaa Alqurashi, Amani Tariq Jamal:
A Smart Arabic Signboard Image Reader for Mobile Devices. 7-12 - Berat Kurar Barakat
, Rafi Cohen, Jihad El-Sana:
VML-MOC: Segmenting a Multiply Oriented and Curved Handwritten Text Line Dataset. 13-18 - Chemseddine Neche, Abdel Belaïd, Afef Kacem Echi:
Arabic Handwritten Documents Segmentation into Text-Lines and Words using Deep Learning. 19-24 - Catherine Taleb, Maha Khachab, Chafic Mokbel, Laurence Likforman-Sulem:
Visual Representation of Online Handwriting Time Series for Deep Learning Parkinson's Disease Detection. 25-30 - Hala Neji, Javier Nogueras-Iso, Javier Lacasta, Mohamed Ben Halima, Adel M. Alimi:
Adversarial Autoencoders for Denoising Digitized Historical Documents: The Use Case of Incunabula. 31-34 - Thameur Dhieb, Houcine Boubaker, Wael Ouarda, Mounir Ben Ayed, Adel M. Alimi:
Deep Bidirectional Long Short-Term Memory for Online Arabic Writer Identification Based on Beta-Elliptic Model. 35-40 - Hanen Akouaydi, Sourour Njah, Wael Ouarda, Anis Samet, Mourad Zaied, Adel M. Alimi:
Convolutional Neural Networks for Online Arabic Characters Recognition with Beta-Elliptic Knowledge Domain. 41-46
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