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pro vyhledávání: '"Claudio, T"'
Machine learning and deep learning models are pivotal in educational contexts, particularly in predicting student success. Despite their widespread application, a significant gap persists in comprehending the factors influencing these models' predict
Externí odkaz:
http://arxiv.org/abs/2405.13957
The development of machine learning applications has increased significantly in recent years, motivated by the remarkable ability of learning-powered systems to discover and generalize intricate patterns hidden in massive datasets. Modern learning mo
Externí odkaz:
http://arxiv.org/abs/2404.16495
Autor:
Okimoto, Leandro Y. S., Mendonca-Neto, Rayol, Nakamura, Fabíola G., Nakamura, Eduardo F., Fenyö, David, Silva, Claudio T.
Publikováno v:
BMC Bioinformatics 25, 92 (2024)
Background: In recent years, researchers have made significant strides in understanding the heterogeneity of breast cancer and its various subtypes. However, the wealth of genomic and proteomic data available today necessitates efficient frameworks,
Externí odkaz:
http://arxiv.org/abs/2403.00716
Publikováno v:
2024 IEEE Conference Virtual Reality and 3D User Interfaces (VR), Orlando, FL, USA, 2024, pp. 827-838
Current visualization research has identified the potential of more immersive settings for data exploration, leveraging VR and AR technologies. To explore how a traditional visualization system could be adapted into an immersive framework, and how it
Externí odkaz:
http://arxiv.org/abs/2402.00344
Autor:
Larsena, Kristoffer, He, Zhuo, Zhao, Chen, Zhang, Xinwei, Sha, Quiying, Mesquitad, Claudio T, Paeze, Diana, Garciaf, Ernest V., Zou, Jiangang, Peix, Amalia, Zhou, Weihua
Background. Clinical parameters measured from gated single-photon emission computed tomography myocardial perfusion imaging (SPECT MPI) have value in predicting cardiac resynchronization therapy (CRT) patient outcomes, but still show limitations. The
Externí odkaz:
http://arxiv.org/abs/2305.02475
Autor:
Fernandes, Fernando de A., Larsen, Kristoffer, He, Zhuo, Nascimento, Erivelton, Peix, Amalia, Sha, Qiuying, Paez, Diana, Garcia, Ernest V., Zhou, Weihua, Mesquita, Claudio T
Cardiac resynchronization therapy (CRT) has been established as an important therapy for heart failure. Mechanical dyssynchrony has the potential to predict responders to CRT. The aim of this study was to report the development and the validation of
Externí odkaz:
http://arxiv.org/abs/2211.07472
Autor:
Hosseini, Maryam, Saugstad, Mikey, Miranda, Fabio, Sevtsuk, Andres, Silva, Claudio T., Froehlich, Jon E.
There is a lack of data on the location, condition, and accessibility of sidewalks across the world, which not only impacts where and how people travel but also fundamentally limits interactive mapping tools and urban analytics. In this paper, we des
Externí odkaz:
http://arxiv.org/abs/2206.13677
Autor:
Rulff, Joao, Miranda, Fabio, Hosseini, Maryam, Lage, Marcos, Cartwright, Mark, Dove, Graham, Bello, Juan, Silva, Claudio T.
Noise is one of the primary quality-of-life issues in urban environments. In addition to annoyance, noise negatively impacts public health and educational performance. While low-cost sensors can be deployed to monitor ambient noise levels at high tem
Externí odkaz:
http://arxiv.org/abs/2205.13064
Autor:
Campos, José L.B., Pinheiro, Paulo H.L., da Silva, Robson M., Carvalho, Claudio T., Trindade, Magno A.G., Rodrigues, Raphael
Publikováno v:
In Fuel 15 February 2025 382 Part A
Autor:
Leandro Y. S. Okimoto, Rayol Mendonca-Neto, Fabíola G. Nakamura, Eduardo F. Nakamura, David Fenyö, Claudio T. Silva
Publikováno v:
BMC Bioinformatics, Vol 25, Iss 1, Pp 1-22 (2024)
Abstract Background In recent years, researchers have made significant strides in understanding the heterogeneity of breast cancer and its various subtypes. However, the wealth of genomic and proteomic data available today necessitates efficient fram
Externí odkaz:
https://doaj.org/article/bba6169bf35f424e8bdadd9761e3f47f