Zobrazeno 1 - 10
of 283
pro vyhledávání: '"Silva, 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:
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:
Hosseini, Maryam, Araujo, Iago B., Yazdanpanah, Hamed, Tokuda, Eric K., Miranda, Fabio, Silva, Claudio T., Cesar Jr, Roberto M.
Publikováno v:
Spatial Data Science Symposium 2021
Large-scale analysis of pedestrian infrastructures, particularly sidewalks, is critical to human-centric urban planning and design. Benefiting from the rich data set of planimetric features and high-resolution orthoimages provided through the New Yor
Externí odkaz:
http://arxiv.org/abs/2112.06120
The target of automatic video summarization is to create a short skim of the original long video while preserving the major content/events. There is a growing interest in the integration of user queries into video summarization or query-driven video
Externí odkaz:
http://arxiv.org/abs/2109.14834
Video summarization aims to simplify large scale video browsing by generating concise, short summaries that diver from but well represent the original video. Due to the scarcity of video annotations, recent progress for video summarization concentrat
Externí odkaz:
http://arxiv.org/abs/2109.02625
Autor:
Tokuda, Eric K., de Arruda, Henrique F., Comin, Cesar H., Cesar-Jr., Roberto M., Silva, Claudio T., Costa, Luciano da F.
Despite the great differences among cities, they face similar challenges regarding social inequality, politics and criminality. Urban art express these feelings from the citizen point-of-view. In particular, the drawing and painting of public surface
Externí odkaz:
http://arxiv.org/abs/2010.08583