Zobrazeno 1 - 10
of 6 292
pro vyhledávání: '"A. Nouar"'
Autor:
Djamila Bouabida, Amina Dida, FAtiha Belaoun, Raouida Mecifi, Ferroudja Djeghali, Nassima Makhlouf, Feroudja Graine, Malika Benbouabdellah
Publikováno v:
Journal de la Faculté de Médecine d'Oran, Vol 2, Iss 2 (2024)
Abstract Introduction - Un nouveau-né est dit macrosome si le poids de naissance est supérieurau 90ème percentile selon les courbes de références. C’est une population àrisque exposée à des complications néonatales pouvant compromettre
Externí odkaz:
https://doaj.org/article/3ecefc9c46154f308903c2d7e7f77fc7
Autor:
Francisco, Kishi Kobe Yee, Apuhin, Andrane Estelle Carnicer, Tan, Myles Joshua Toledo, Byers, Mickael Cavanaugh, Maravilla, Nicholle Mae Amor Tan, Karim, Hezerul Abdul, AlDahoul, Nouar
Personalized medicine (PM) promises to transform healthcare by providing treatments tailored to individual genetic, environmental, and lifestyle factors. However, its high costs and infrastructure demands raise concerns about exacerbating health disp
Externí odkaz:
http://arxiv.org/abs/2411.02307
Technologies for recognizing facial attributes like race, gender, age, and emotion have several applications, such as surveillance, advertising content, sentiment analysis, and the study of demographic trends and social behaviors. Analyzing demograph
Externí odkaz:
http://arxiv.org/abs/2410.24148
A Longitudinal Analysis of Racial and Gender Bias in New York Times and Fox News Images and Articles
Autor:
Ibrahim, Hazem, AlDahoul, Nouar, Abbasi, Syed Mustafa Ali, Zaffar, Fareed, Rahwan, Talal, Zaki, Yasir
The manner in which different racial and gender groups are portrayed in news coverage plays a large role in shaping public opinion. As such, understanding how such groups are portrayed in news media is of notable societal value, and has thus been a s
Externí odkaz:
http://arxiv.org/abs/2410.21898
Recent breakthroughs in Large Language Models (LLMs) have led to their adoption across a wide range of tasks, ranging from code generation to machine translation and sentiment analysis, etc. Red teaming/Safety alignment efforts show that fine-tuning
Externí odkaz:
http://arxiv.org/abs/2409.15361
Autor:
Djamila Bouabida, Amina Dida, Fatiha Belaoun, Raouida Mecifi, Feroudja Djeghali, Nassima Makhlouf, Feroudja Graine, Malika Benbouabdelah
Publikováno v:
Journal de la Faculté de Médecine d'Oran, Vol 2, Iss 2 (2022)
Introduction - A newborn is said macrosome if the birth weight is higher than the 90th percentile according to the reference curves. It is a population at risk exposed to neonatal complications that can compromise the vital prognosis and / or functio
Externí odkaz:
https://doaj.org/article/9ec49227c07d4e1a8a2eee65a0fa9905
Large language models (LLMs) demonstrate impressive zero-shot and few-shot reasoning capabilities. Some propose that such capabilities can be improved through self-reflection, i.e., letting LLMs reflect on their own output to identify and correct mis
Externí odkaz:
http://arxiv.org/abs/2406.10400
Images are often termed as representations of perceived reality. As such, racial and gender biases in popular culture and visual media could play a critical role in shaping people's perceptions of society. While previous research has made significant
Externí odkaz:
http://arxiv.org/abs/2405.06404
A quarter of US adults regularly get their news from YouTube. Yet, despite the massive political content available on the platform, to date no classifier has been proposed to identify the political leaning of YouTube videos. To fill this gap, we prop
Externí odkaz:
http://arxiv.org/abs/2404.04261
Text-to-image generative AI models such as Stable Diffusion are used daily by millions worldwide. However, the extent to which these models exhibit racial and gender stereotypes is not yet fully understood. Here, we document significant biases in Sta
Externí odkaz:
http://arxiv.org/abs/2402.01002