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Resources and End-to-End Neural Network Models for Arabic Image Captioning., , , , and . VISIGRAPP (5: VISAPP), page 233-241. SCITEPRESS, (2020)Representation Learning for Improved Generalization of Adversarial Domain Adaptation with Text Classification., and . ICIoT, page 525-531. IEEE, (2020)AraGPT2: Pre-Trained Transformer for Arabic Language Generation., , and . CoRR, (2020)hULMonA: The Universal Language Model in Arabic., , , , , and . WANLP@ACL 2019, page 68-77. Association for Computational Linguistics, (2019)CAT: Credibility Analysis of Arabic Content on Twitter., , , , , and . WANLP@EACL, page 62-71. Association for Computational Linguistics, (2017)State of the Art Models for Fake News Detection Tasks., , , , and . ICIoT, page 519-524. IEEE, (2020)A design methodology for energy aware neural networks., , , , , and . IWCMC, page 1333-1340. IEEE, (2011)Sentence-Level and Document-Level Sentiment Mining for Arabic Texts., , , and . ICDM Workshops, page 1114-1119. IEEE Computer Society, (2010)Machine Reading for Notion-Based Sentiment Mining., , and . ICDM Workshops, page 75-80. IEEE Computer Society, (2011)A hybrid approach with collaborative filtering for recommender systems., , , and . IWCMC, page 349-354. IEEE, (2013)