Zobrazeno 1 - 10
of 62
pro vyhledávání: '"Berton, Lilian"'
Autor:
Queiroz, Dilermando, Carlos, Anderson, Fatoretto, Maíra, Nakayama, Luis Filipe, Anjos, André, Berton, Lilian
Foundation models have emerged as robust models with label efficiency in diverse domains. In medical imaging, these models contribute to the advancement of medical diagnoses due to the difficulty in obtaining labeled data. However, it is unclear whet
Externí odkaz:
http://arxiv.org/abs/2408.16154
Ensuring consistent performance across diverse populations and incorporating fairness into machine learning models are crucial for advancing medical image diagnostics and promoting equitable healthcare. However, many databases do not provide protecte
Externí odkaz:
http://arxiv.org/abs/2408.16130
Publikováno v:
ITU Journal on Future and Evolving Technologies 3 (2022)
In order to promote the use of machine learning in 5G, the International Telecommunication Union (ITU) proposed in 2021 the second edition of the ITU AI/ML in 5G challenge, with over 1600 participants from 82 countries. This work details the second p
Externí odkaz:
http://arxiv.org/abs/2207.06336
Autor:
Berton, Lilian
As redes complexas surgiram como uma nova e importante maneira de representação e abstração de dados capaz de capturar as relações espaciais, topológicas, funcionais, entre outras características presentes em muitas bases de dados. Dentre as
Semi-supervised learning has received attention from researchers, as it allows one to exploit the structure of unlabeled data to achieve competitive classification results with much fewer labels than supervised approaches. The Local and Global Consis
Externí odkaz:
http://arxiv.org/abs/2201.03456
In machine learning, one must acquire labels to help supervise a model that will be able to generalize to unseen data. However, the labeling process can be tedious, long, costly, and error-prone. It is often the case that most of our data is unlabele
Externí odkaz:
http://arxiv.org/abs/2009.12966
Publikováno v:
Pattern Recognition Letters, 2020, ISSN 0167-8655
Obtaining data with meaningful labels is often costly and error-prone. In this situation, semi-supervised learning (SSL) approaches are interesting, as they leverage assumptions about the unlabeled data to make up for the limited amount of labels. Ho
Externí odkaz:
http://arxiv.org/abs/2009.11811
Autor:
Cotacallapa, Moshe, Berton, Lilian, Ferreira, Leonardo N., Quiles, Marcos G., Zhao, Liang, Macau, Elbert E. N., Vega-Oliveros, Didier A.
Chat groups are well-known for their capacity to promote viral political and marketing campaigns, spread fake news, and create rallies by hundreds of thousands on the streets. Also, with the increasing public awareness regarding privacy and surveilla
Externí odkaz:
http://arxiv.org/abs/1906.08875
Autor:
Berton, Lilian
Com o aumento da capacidade de armazenamento, as bases de dados são cada vez maiores e, em muitas situações, apenas um pequeno subconjunto de itens de dados pode ser rotulado. Isto acontece devido ao processo de rotulagem ser frequentemente caro,
Publikováno v:
Proceedings of the 44th Latin American Computing Conference - Clei 2018. S\~ao Paulo, Brazil (2018)
Homicide mortality is a worldwide concern and has occupied the agenda of researchers and public managers. In Brazil, homicide is the third leading cause of death in the general population and the first in the 15-39 age group. In South America, Brazil
Externí odkaz:
http://arxiv.org/abs/1811.06366