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Identification of cyberbullying: A deep learning based multimodal approach.

, , and . Multim. Tools Appl., 81 (19): 26989-27008 (2022)

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Gender-Aware Estimation of Depression Severity Level in a Multimodal Setting., , , and . IJCNN, page 1-8. IEEE, (2021)Multimodal Neural Machine Translation for Low-resource Language Pairs using Synthetic Data., , and . DeepLo@ACL, page 33-42. Association for Computational Linguistics, (2018)The Verbal and Non Verbal Signals of Depression - Combining Acoustics, Text and Visuals for Estimating Depression Level., , , and . CoRR, (2019)CyberTronics at SemEval-2020 Task 12: Multilingual Offensive Language Identification over Social Media., , and . SemEval@COLING, page 1925-1931. International Committee for Computational Linguistics, (2020)Introduction to the 5th HistoInformatics Workshop., , , , and . HistoInformatics@TPDL, volume 2461 of CEUR Workshop Proceedings, page 1-2. CEUR-WS.org, (2019)Identification of cyberbullying: A deep learning based multimodal approach., , and . Multim. Tools Appl., 81 (19): 26989-27008 (2022)An Image-based Transfer Learning Framework for Classification of E-Commerce Products., , , , and . ICDLT, page 26-31. ACM, (2022)Evaluating Terminology Translation in MT., , and . CICLing (1), volume 13451 of Lecture Notes in Computer Science, page 495-520. Springer, (2019)Terminology Translation in Low-Resource Scenarios., , and . Inf., 10 (9): 273 (2019)Identifying complaints based on semi-supervised mincuts., , , and . Expert Syst. Appl., (2021)