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pro vyhledávání: '"A. Baban"'
In document-level neural machine translation (DocNMT), multi-encoder approaches are common in encoding context and source sentences. Recent studies \cite{li-etal-2020-multi-encoder} have shown that the context encoder generates noise and makes the mo
Externí odkaz:
http://arxiv.org/abs/2407.03076
Universal Adversarial Framework to Improve Adversarial Robustness for Diabetic Retinopathy Detection
Diabetic Retinopathy (DR) is a prevalent illness associated with Diabetes which, if left untreated, can result in irreversible blindness. Deep Learning based systems are gradually being introduced as automated support for clinical diagnosis. Since he
Externí odkaz:
http://arxiv.org/abs/2312.08193
Autor:
Gain, Baban, Appicharla, Ramakrishna, Chennabasavaraj, Soumya, Garera, Nikesh, Ekbal, Asif, Chelliah, Muthusamy
Community Question-Answering (CQA) portals serve as a valuable tool for helping users within an organization. However, making them accessible to non-English-speaking users continues to be a challenge. Translating questions can broaden the community's
Externí odkaz:
http://arxiv.org/abs/2310.15259
Impact of Visual Context on Noisy Multimodal NMT: An Empirical Study for English to Indian Languages
The study investigates the effectiveness of utilizing multimodal information in Neural Machine Translation (NMT). While prior research focused on using multimodal data in low-resource scenarios, this study examines how image features impact translati
Externí odkaz:
http://arxiv.org/abs/2308.16075
Recent studies have shown that the multi-encoder models are agnostic to the choice of context, and the context encoder generates noise which helps improve the models in terms of BLEU score. In this paper, we further explore this idea by evaluating wi
Externí odkaz:
http://arxiv.org/abs/2308.06063
Autor:
Băban, Marius, Băban, Călin-Florin
Publikováno v:
In Alexandria Engineering Journal October 2024 104:515-528
Autor:
Talib, Wamidh H.1,2 (AUTHOR) douglas.law@newinti.edu.my, Baban, Media Mohammad3 (AUTHOR) mediababan22@gmail.com, Bulbul, Mais Fuad3 (AUTHOR) maisbulbul95@gmail.com, Al-Zaidaneen, Esraa3 (AUTHOR) i.alzayadeen@ju.edu.jo, Allan, Aya3 (AUTHOR) ayaallan92@yahoo.com, Al-Rousan, Eiman Wasef3 (AUTHOR) eiman_alrousan@hotmail.com, Ahmad, Rahaf Hamed Yousef3 (AUTHOR) rahafhamed77799@outlook.com, Alshaeri, Heba K.4 (AUTHOR) halshaeri@kau.edu.sa, Alasmari, Moudi M.5,6 (AUTHOR) asmarim@ksau-hs.edu.sa, Law, Douglas2 (AUTHOR)
Publikováno v:
International Journal of Molecular Sciences. Sep2024, Vol. 25 Issue 17, p9593. 46p.
Autor:
Singh, Jyoti, Dey, Baban, Syed, Asad, AL-Shwaiman, Hind A., Subramaniam, Manjula, Ahmad, Md. Wasi, Choudhury, Arup
Publikováno v:
In Diamond & Related Materials November 2024 149
Publikováno v:
In International Review of Financial Analysis November 2024 96 Part A
Publikováno v:
In Vaccine 24 October 2024 42(24)