Zobrazeno 1 - 10
of 18 230
pro vyhledávání: '"Sowmya, A."'
Ultrasound fetal imaging is beneficial to support prenatal development because it is affordable and non-intrusive. Nevertheless, fetal plane classification (FPC) remains challenging and time-consuming for obstetricians since it depends on nuanced cli
Externí odkaz:
http://arxiv.org/abs/2410.17396
Autor:
Spooner, Annette, Moridani, Mohammad Karimi, Safarchi, Azadeh, Maher, Salim, Vafaee, Fatemeh, Zekry, Amany, Sowmya, Arcot
The complementary information found in different modalities of patient data can aid in more accurate modelling of a patient's disease state and a better understanding of the underlying biological processes of a disease. However, the analysis of multi
Externí odkaz:
http://arxiv.org/abs/2409.13791
The role of large language models (LLMs) in education is an increasing area of interest today, considering the new opportunities they offer for teaching, learning, and assessment. This cutting-edge tutorial provides an overview of the educational app
Externí odkaz:
http://arxiv.org/abs/2409.11917
Autor:
O'Connor, Martin J., Hardi, Josef, Martínez-Romero, Marcos, Somasundaram, Sowmya, Honick, Brendan, Fisher, Stephen A., Pillai, Ajay, Musen, Mark A.
Scientists increasingly recognize the importance of providing rich, standards-adherent metadata to describe their experimental results. Despite the availability of sophisticated tools to assist in the process of data annotation, investigators general
Externí odkaz:
http://arxiv.org/abs/2409.08897
Autor:
Mendoza, Ismael, Torchylo, Andrii, Sainrat, Thomas, Guinot, Axel, Boucaud, Alexandre, Paillassa, Maxime, Avestruz, Camille, Adari, Prakruth, Aubourg, Eric, Biswas, Biswajit, Buchanan, James, Burchat, Patricia, Doux, Cyrille, Joseph, Remy, Kamath, Sowmya, Malz, Alex I., Merz, Grant, Miyatake, Hironao, Roucelle, Cécile, Zhang, Tianqing, Collaboration, the LSST Dark Energy Science
We present an open source Python library for simulating overlapping (i.e., blended) images of galaxies and performing self-consistent comparisons of detection and deblending algorithms based on a suite of metrics. The package, named Blending Toolkit
Externí odkaz:
http://arxiv.org/abs/2409.06986
Retinal imaging has emerged as a promising method of addressing this challenge, taking advantage of the unique structure of the retina. The retina is an embryonic extension of the central nervous system, providing a direct in vivo window into neurolo
Externí odkaz:
http://arxiv.org/abs/2407.18970
Skin diseases affect over a third of the global population, yet their impact is often underestimated. Automating skin disease classification to assist doctors with their prognosis might be difficult. Nevertheless, due to efficient feature extraction
Externí odkaz:
http://arxiv.org/abs/2407.14757
Autor:
Sankaran, Sowmya
Animal populations worldwide are rapidly declining, and a technology that can accurately count endangered species could be vital for monitoring population changes over several years. This research focused on fine-tuning object detection models for dr
Externí odkaz:
http://arxiv.org/abs/2407.00127
Named Entity Recognition (NER) is a well-studied problem in NLP. However, there is much less focus on studying NER datasets, compared to developing new NER models. In this paper, we employed three simple techniques to detect annotation errors in the
Externí odkaz:
http://arxiv.org/abs/2406.19172
Autor:
Rama, Taraka, Vajjala, Sowmya
The Universal Dependencies (UD) project aims to create a cross-linguistically consistent dependency annotation for multiple languages, to facilitate multilingual NLP. It currently supports 114 languages. Dravidian languages are spoken by over 200 mil
Externí odkaz:
http://arxiv.org/abs/2406.14680