Zobrazeno 1 - 10
of 3 631
pro vyhledávání: '"Christabel, A."'
Applications in behavioural research, human-computer interaction, and mental health depend on the ability to recognize emotions. In order to improve the accuracy of emotion recognition using electroencephalography (EEG) data, this work presents a hyb
Externí odkaz:
http://arxiv.org/abs/2411.17715
This research presents an advanced AI-powered ultrasound imaging system that incorporates real-time image processing, organ tracking, and voice commands to enhance the efficiency and accuracy of diagnoses in clinical practice. Traditional ultrasound
Externí odkaz:
http://arxiv.org/abs/2411.13006
In order to support the creation of reliable machine learning models for anomaly detection, this project focuses on preprocessing, enhancing, and organizing a medical imaging dataset. There are two classifications in the dataset: normal and abnormal,
Externí odkaz:
http://arxiv.org/abs/2411.12681
Understanding the appropriate skin layer thickness in wounded sites is an important tool to move forward on wound healing practices and treatment protocols. Methods to measure depth often are invasive and less specific. This paper introduces a novel
Externí odkaz:
http://arxiv.org/abs/2411.12678
Recent work has highlighted the culturally-contingent nature of commonsense knowledge. We introduce AMAMMER${\epsilon}$, a test set of 525 multiple-choice questions designed to evaluate the commonsense knowledge of English LLMs, relative to the cultu
Externí odkaz:
http://arxiv.org/abs/2410.16451
We examine whether large language models (LLMs) exhibit race- and gender-based name discrimination in hiring decisions, similar to classic findings in the social sciences (Bertrand and Mullainathan, 2004). We design a series of templatic prompts to L
Externí odkaz:
http://arxiv.org/abs/2406.10486
Autor:
Rogalin, Christabel L., author, Lucas, Jeffrey W., author, Baxter, Amy R., author, Soboroff, Shane D., author, Guo, Rachel, author
Publikováno v:
Advances In Group Processes, Volume 41
Autor:
Abhiram, Pinni Venkata, Rathore, Ananya, Mirikar, Abhir, S, Hari Krishna, Pravin, Sheena Christabel, Pethri, Vishwanath Kamath, Belgod, Manjunath Lokanath, Gupta, Reetika, Muthukumaran, K
The paper presents a novel Auto Language Prediction Dictionary Capsule (ALPDC) framework for language prediction and machine translation. The model uses a combination of neural networks and symbolic representations to predict the language of a given
Externí odkaz:
http://arxiv.org/abs/2403.05982
Autor:
Damalie Nalwanga, Victor Musiime, Sarah Kiguli, Peter Olupot-Olupot, Florence Alaroker, Robert Opoka, Abner Tagoola, Hellen Mnjalla, Christabel Mogaka, Eva Nabawanuka, Elisa Giallongo, Charles Karamagi, André Briend, Kathryn Maitland
Publikováno v:
BMC Nutrition, Vol 10, Iss 1, Pp 1-9 (2024)
Abstract Background Pneumonia remains the leading cause of mortality among children under 5 years. Poor nutritional status increases pneumonia mortality. Nutritional status assessed by anthropometry alone does not provide information on which body co
Externí odkaz:
https://doaj.org/article/ab8375893a1c44ca9e4c1c5b6b8ea65e
Autor:
Mwansa Ketty Lubeya, Margarate Nzala Munakampe, Meek Mwila, Musonda Makasa, Moses Mukosha, Choolwe Jacobs, Christabel Chigwe Phiri, Bellington Vwalika, Victor Sichone, Benedictus Mangala, Melissa Mukalumamba Haketa, Andrew Kumwenda, Patrick Kaonga
Publikováno v:
BMC Women's Health, Vol 24, Iss 1, Pp 1-12 (2024)
Abstract Background Despite attempts to increase Universal Health Coverage, availability, accessibility, acceptability, and quality-related challenges remain barriers to receiving essential services by women who need them. We aimed to explore the exp
Externí odkaz:
https://doaj.org/article/3ce6c0bf6c1648f78f93dd918048b65a