Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Andrea Carneiro"'
Publikováno v:
GOT - Revista de Geografia e Ordenamento do Território, Iss 17, Pp 55-74 (2019)
Este artigo aborda o percurso histórico e a evolução da implementação do cadastro territorial urbano no Brasil. Parte-se do pressuposto de que a sua evolução está diretamente ligada à dinâmica do processo de municipalização e de ocupaçã
Externí odkaz:
https://doaj.org/article/5bd87a7dde1a493f84489da117493875
Autor:
Pontes, Elvys Linhares, Huet, Stéphane, Torres-Moreno, Juan-Manuel, da Silva, Thiago G., Linhares, Andréa Carneiro
Publikováno v:
Computaci\'on y Sistemas Vo. 24, No. 2, 2020
Multi-Sentence Compression (MSC) aims to generate a short sentence with the key information from a cluster of similar sentences. MSC enables summarization and question-answering systems to generate outputs combining fully formed sentences from one or
Externí odkaz:
http://arxiv.org/abs/2004.04468
Autor:
Saksik, Rémy, Molina-Villegas, Alejandro, Linhares, Andréa Carneiro, Torres-Moreno, Juan-Manuel
In this article, we describe some discursive segmentation methods as well as a preliminary evaluation of the segmentation quality. Although our experiment were carried for documents in French, we have developed three discursive segmentation models so
Externí odkaz:
http://arxiv.org/abs/2002.04095
Autor:
Pontes, Elvys Linhares, Huet, Stéphane, Linhares, Andréa Carneiro, Torres-Moreno, Juan-Manuel
Semantic Textual Similarity (STS) is the basis of many applications in Natural Language Processing (NLP). Our system combines convolution and recurrent neural networks to measure the semantic similarity of sentences. It uses a convolution network to
Externí odkaz:
http://arxiv.org/abs/1810.10641
Autor:
Pontes, Elvys Linhares, da Silva, Thiago Gouveia, Linhares, Andréa Carneiro, Torres-Moreno, Juan-Manuel, Huet, Stéphane
The Internet has led to a dramatic increase in the amount of available information. In this context, reading and understanding this flow of information have become costly tasks. In the last years, to assist people to understand textual data, various
Externí odkaz:
http://arxiv.org/abs/1703.06501
This paper aims to introduces a new algorithm for automatic speech-to-text summarization based on statistical divergences of probabilities and graphs. The input is a text from speech conversations with noise, and the output a compact text summary. Ou
Externí odkaz:
http://arxiv.org/abs/1601.07124
Autor:
Mathias, Mayeul, Moussa, Assema, Zhou, Fen, Torres-Moreno, Juan-Manuel, Poli, Marie-Sylvie, Josselin, Didier, El-Bèze, Marc, Linhares, Andréa Carneiro, Rigat, Francoise
This paper proposes a new method to provide personalized tour recommendation for museum visits. It combines an optimization of preference criteria of visitors with an automatic extraction of artwork importance from museum information based on Natural
Externí odkaz:
http://arxiv.org/abs/1501.01252
Autor:
Linhares Pontes, Elvys, Huet, Stéphane, Torres-Moreno, Juan-Manuel, Linhares, Andréa Carneiro
Publikováno v:
In Data & Knowledge Engineering January 2020 125
The efficient use of bandwidth for radio communications becomes more and more crucial when developing new information technologies and their applications. The core issues are addressed by the so-called Frequency Assignment Problems (FAP). Our work in
Externí odkaz:
http://arxiv.org/abs/1001.1093
Autor:
Nathalia Rose Silva da Purificação, Vinícius Barbosa Henrique, Amilton Amorim, Andrea Carneiro, Guilherme Henrique Barros de Souza
Publikováno v:
International Journal of Building Pathology and Adaptation.
PurposeThe purpose of the study is to compare methodologies for mapping a historic building, with image capture by smartphones and drones, using photogrammetric techniques for three-dimensional (3D) modeling of the structure. Processes and products a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::140ffb0dc777fa74006648e3b6977807
https://doi.org/10.1108/ijbpa-11-2021-0145
https://doi.org/10.1108/ijbpa-11-2021-0145