Výsledky vyhledávání - "Anderson de Rezende Rocha"

Akademický článek

Practical Text Phylogeny for Real-World Settings

Autor: Bingyu Shen, Christopher W. Forstall, Anderson De Rezende Rocha, Walter J. Scheirer

Publikováno v: IEEE Access, Vol 6, Pp 41002-41012 (2018)

The ease with which one can edit and redistribute digital documents on the Internet is one of modernity's great achievements, but it also leads to some vexing problems. With growing academic interest in the study of the evolution of digital writing o

Externí odkaz: https://doaj.org/article/a86d24e7a9314693b87aca97a60a21b0

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Oil production and pressure multimodal forecasting integrating high-frequency production data

Autor: Alexandre Mello Ferreira, Leopoldo André Dutra Lusquino Filho, Anderson de Rezende Rocha, Pedro Ribeiro Mendes Júnior, Manuel Castro, Renato Moura, Alessandra Davólio Gomes, Vitor Hugo de Sousa Ferreira, Rafael de Oliveira Werneck, Eduardo dos Santos Pereira Eduardo Pereira

Publikováno v: Rio Oil and Gas Expo and Conference. 22:308-309

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::708a13bd65079a486367f22588b975d8
https://doi.org/10.48072/2525-7579.rog.2022.308

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Data-driven forecasting of oil & gas production: a recurrent neural networks approach

Autor: Victor Eduardo Martinez Abaunza, Anderson de Rezende Rocha

Publikováno v: Rio Oil and Gas Expo and Conference. 22:296-297

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::0363231cfad6766e5d8c993da5fe5596
https://doi.org/10.48072/2525-7579.rog.2022.296

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Detecting anomalies in production data using machine learning techniques

Autor: Denis José Schiozer, Alexandre Mello Ferreira, Aurea Rossy Soriano Vargas, Leopoldo André Dutra Lusquino Filho, Maiara Moreira Gonçalves, Anderson de Rezende Rocha, M. Manzur Hossain, Soroor Salavati, Alessandra Davólio Gomes, Rafael de Oliveira Werneck, Eduardo dos Santos Pereira Eduardo Pereira

Publikováno v: Rio Oil and Gas Expo and Conference. 22:298-299

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::1b765287f6e90e7706c74308bddcb61b
https://doi.org/10.48072/2525-7579.rog.2022.298

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A study of image representations from multiple domains using unsupervised and semi-supervised deep learning

Autor: Gabriel Biscaro Cavallari

Publikováno v: Biblioteca Digital de Teses e Dissertações da USP
Universidade de São Paulo (USP)
instacron:USP

Sistemas atuais de visão computacional demonstram excelente desempenho em uma variedade de benchmarks, como detecção de objetos, reconhecimento e segmentação semântica de imagens. O treinamento dessas redes segue principalmente o paradigma de a

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::26ba853650cfa0b576fde453f4237f5c

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Transferência de movimento e aparência humana entre vídeos monoculares

Autor: Thiago Luange Gomes

Publikováno v: Repositório Institucional da UFMG
Universidade Federal de Minas Gerais (UFMG)
instacron:UFMG

CNPq - Conselho Nacional de Desenvolvimento Científico e Tecnológico FAPEMIG - Fundação de Amparo à Pesquisa do Estado de Minas Gerais CAPES - Coordenação de Aperfeiçoamento de Pessoal de Nível Superior This dissertation is in the context of

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______3056::ff6a86d777a0e435f910073f181472f7

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Computer vision analysis of unconstrained urban ground-level images

Autor: Eric K. Tokuda

Publikováno v: Biblioteca Digital de Teses e Dissertações da USP
Universidade de São Paulo (USP)
instacron:USP

Nowadays, images are generated on a large scale and in a decentralized way. Such modality of data carries valuable information but extracting this information is not always trivial. In this thesis, we tackle computer vision challenges when using grou

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b481da3d2065a6eaed4dd1483fd74421
https://doi.org/10.11606/t.45.2019.tde-20012021-191240

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Semantic description of objects in images based on Prototype Theory

Autor: Omar Vidal Pino

Publikováno v: Repositório Institucional da UFMG
Universidade Federal de Minas Gerais (UFMG)
instacron:UFMG

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______3056::a1c551cd98e21767f06f1569c973b275
https://orcid.org/0000-0002-9917-3838

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Tratando o problema de extração de características, mineração e recuperação de dados complexos: aplicações em situações de emergência e medicina

Autor: Daniel Yoshinobu Takada Chino

Publikováno v: Biblioteca Digital de Teses e Dissertações da USP
Universidade de São Paulo (USP)
instacron:USP

The size and complexity of the data generated by social media and medical images has increased in a fast pace. Unlike traditional data, images cannot be dealt with in its original domain, leading to rising challenges in knowledge discovery tasks. The

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7f0de55261af80284038e5bcb7817a30

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Abordagens para combinar classificadores e agrupadores em problemas de classificação

Autor: Luiz Fernando Sommaggio Coletta

Publikováno v: Biblioteca Digital de Teses e Dissertações da USP
Universidade de São Paulo (USP)
instacron:USP

Modelos para aprendizado não supervisionado podem fornecer restrições complementares úteis para melhorar a capacidade de generalização de classificadores. Baseando-se nessa premissa, um algoritmo existente, denominado de C3E (Consensus between

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::38911187554057ba35ee3d806b567ed5
https://doi.org/10.11606/t.55.2016.tde-24032016-102229

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