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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 11 of 11 1 Sexism detection: The first corpus in Algerian dialect with a code-switching in Arabic/ French and English ... Guellil, Imane; Adeel, Ahsan; Azouaou, Faical. - : arXiv, 2021 BASE Show details 2 A semi-supervised approach for sentiment analysis of arab (ic+ izi) messages: Application to the algerian dialect Adeel, Ahsan; Guellil, Imane; Gogate, Mandar. - : Springer, 2021 BASE Show details 3 A Semi-supervised Approach for Sentiment Analysis of Arab(ic+izi) Messages: Application to the Algerian Dialect Guellil, Imane; Adeel, Ahsan; Azouaou, Faical. - 2021 BASE Show details 4 CochleaNet: A robust language-independent audio-visual model for real-time speech enhancement Gogate, Mandar; Dashtipour, Kia; Adeel, Ahsan. - : Elsevier, 2020 BASE Show details 5 Offline Arabic Handwriting Recognition Using Deep Machine Learning: A Review of Recent Advances Ahmed, Rami; Dashtipour, Kia; Gogate, Mandar; Raza, Ali; Zhang, Rui; Huang, Kaizhu; Hawalah, Ahmad; Adeel, Ahsan; Hussain, Amir. - : Springer, 2020 Abstract: In pattern recognition, automatic handwriting recognition (AHWR) is an area of research that has developed rapidly in the last few years. It can play a significant role in broad-spectrum of applications rending from, bank cheque processing, application forms processing, postal address processing, to text-to-speech conversion. However, most research efforts are devoted to English-language only. This work focuses on developing Offline Arabic Handwriting Recognition (OAHR). The OAHR is a very challenging task due to some unique characteristics of the Arabic script such as cursive nature, ligatures, overlapping, and diacritical marks. In the recent literature, several effective Deep Learning (DL) approaches have been proposed to develop efficient AHWR systems. In this paper, we commission a survey on emerging AHWR technologies with some insight on OAHR background, challenges, opportunities, and future research trends. Keyword: Deep Learning; Offline Arabic database; Offline Arabic Handwritten Recognition URL: https://doi.org/10.1007/978-3-030-39431-8_44 BASE Hide details 6 Lip-reading driven deep learning approach for speech enhancement Adeel, Ahsan; Gogate, Mandar; Hussain, Amir... In: abs/1808.00046 ; 1 ; 10 (2019) BASE Show details 7 SentiALG: Automated Corpus Annotation for Algerian Sentiment Analysis Guellil, Imane; Adeel, Ahsan; Azouaou, Faical. - : Springer, 2018 BASE Show details 8 A Semi-supervised Corpus Annotation for Saudi Sentiment Analysis Using Twitter Alqarafi, Abdulrahman; Adeel, Ahsan; Hawalah, Ahmed. - : Springer, 2018 BASE Show details 9 SentiALG: Automated Corpus Annotation for Algerian Sentiment Analysis ... Guellil, Imane; Adeel, Ahsan; Azouaou, Faical. - : arXiv, 2018 BASE Show details 10 A Semi-supervised Corpus Annotation for Saudi Sentiment Analysis Using Twitter Alqarafi, Abdulrahman; Adeel, Ahsan; Hawalah, Ahmed. - : Springer International Publishing, 2018. : Cham, Switzerland, 2018 BASE Show details 11 Persian Named Entity Recognition Dashtipour, Kia; Gogate, Mandar; Adeel, Ahsan. - : Institute of Electrical and Electronics Engineers Inc, 2017. : Piscataway, NJ, USA, 2017 BASE Show details

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