Zobrazeno 1 - 10
of 674
pro vyhledávání: '"A Mohamed Youssef"'
Autor:
Mohamed, Youssef, Li, Runjia, Ahmad, Ibrahim Said, Haydarov, Kilichbek, Torr, Philip, Church, Kenneth Ward, Elhoseiny, Mohamed
Research in vision and language has made considerable progress thanks to benchmarks such as COCO. COCO captions focused on unambiguous facts in English; ArtEmis introduced subjective emotions and ArtELingo introduced some multilinguality (Chinese and
Externí odkaz:
http://arxiv.org/abs/2411.03769
Accurate recognition of human emotions is a crucial challenge in affective computing and human-robot interaction (HRI). Emotional states play a vital role in shaping behaviors, decisions, and social interactions. However, emotional expressions can be
Externí odkaz:
http://arxiv.org/abs/2409.11906
The increasing reliance on online recruitment platforms coupled with the adoption of AI technologies has highlighted the critical need for efficient resume classification methods. However, challenges such as small datasets, lack of standardized resum
Externí odkaz:
http://arxiv.org/abs/2406.18125
This study thoroughly investigates how well deep learning models can recognize Arabic handwritten text for person biometric identification. It compares three advanced architectures -- ResNet50, MobileNetV2, and EfficientNetB7 -- using three widely re
Externí odkaz:
http://arxiv.org/abs/2406.00409
Biometric identification is a reliable method to verify individuals based on their unique physical or behavioral traits, offering a secure alternative to traditional methods like passwords or PINs. This study focuses on ear biometric identification,
Externí odkaz:
http://arxiv.org/abs/2406.00135
Autor:
Zhang, Wenxuan, Mohamed, Youssef, Ghanem, Bernard, Torr, Philip H. S., Bibi, Adel, Elhoseiny, Mohamed
We propose and study a realistic Continual Learning (CL) setting where learning algorithms are granted a restricted computational budget per time step while training. We apply this setting to large-scale semi-supervised Continual Learning scenarios w
Externí odkaz:
http://arxiv.org/abs/2404.12766
This study presents AraSpider, the first Arabic version of the Spider dataset, aimed at improving natural language processing (NLP) in the Arabic-speaking community. Four multilingual translation models were tested for their effectiveness in translat
Externí odkaz:
http://arxiv.org/abs/2402.07448
Autor:
Khan, Faizan Farooq, Kim, Diana, Jha, Divyansh, Mohamed, Youssef, Chang, Hanna H, Elgammal, Ahmed, Elliott, Luba, Elhoseiny, Mohamed
Discovering the creative potentials of a random signal to various artistic expressions in aesthetic and conceptual richness is a ground for the recent success of generative machine learning as a way of art creation. To understand the new artistic med
Externí odkaz:
http://arxiv.org/abs/2402.02453
Publikováno v:
Alexandria Journal of Medicine, Vol 60, Iss 1, Pp 131-137 (2024)
Background Ureteropelvic junction (UPJ) obstruction is the leading cause of pediatric hydronephrosis. While open pyeloplasty is highly effective, a small proportion of children experience recurrent ureteropelvic junction obstruction (UPJO) necessitat
Externí odkaz:
https://doaj.org/article/4fd385af658f43358d2777f6477e2fe8
Publikováno v:
Beni-Suef University Journal of Basic and Applied Sciences, Vol 13, Iss 1, Pp 1-23 (2024)
Abstract Background Climate change significantly influences the geographical distribution of plant species worldwide, especially endemics. Endemic species are plants that live in limited distribution ranges of unique ecology and, thus, are the most v
Externí odkaz:
https://doaj.org/article/998d2fb805af4bb6a4a261653ba639f8