Výsledky vyhledávání - "Daniel Xavier de Sousa"

Dissertation/ Thesis

WORKLOAD BALANCING STRATEGIES FOR PARALLEL BLAST EVALUATION ON REPLICATED DATABASES AND PRIMARY FRAGMENTS

Autor: DANIEL XAVIER DE SOUSA

Publikováno v: Repositório Institucional da PUC_RIOPontifícia Universidade Católica do Rio de JaneiroPUC_RIO.

COORDENAÇÃO DE APERFEIÇOAMENTO DO PESSOAL DE ENSINO SUPERIOR
Na área de biologia computacional a busca por informações relevantes em meio a volumes de dados cada vez maiores é uma atividade fundamental. Dentre outras, uma tarefa important

Externí odkaz: http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=11509@1
http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=11509@2

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A visual analysis of immunobiological coverage, its infrastructure, and effects in the state of Bahia

Autor: Gabriel de Almeida Nascimento, Francisco Rodrigo Moreni dos Reis, Renato Lima Novais, Daniel Xavier de Sousa, Antonio Gabriel Souza Almeida

The article illustrates the performance of the National Immunization Program (PNI) in Bahia, the vaccination coverage of the number of inhabitants, as well as the correlation with investment in health, through the extraction and analysis of data from

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::ec81cc3a9efe3467df1bec13b1e1582e
https://doi.org/10.56238/colleinternhealthscienv1-133

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Individualized extreme dominance (IndED): A new preference-based method for multi-objective recommender systems

Autor: Marcos André Gonçalves, Anisio Lacerda, Dayanne Gouveia Coelho, Reinaldo Silva Fortes, Daniel Xavier de Sousa

Publikováno v: Information Sciences. 572:558-573

Recommender Systems (RSs) make personalized suggestions of relevant items to users. However, the concept of relevance may involve different quality aspects (objectives), such as accuracy, novelty, and diversity. In addition, users may have their own

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::5cb2ffea871e076595ececac5b8e1f41
https://doi.org/10.1016/j.ins.2021.05.037

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Risk-Sensitive Learning to Rank with Evolutionary Multi-Objective Feature Selection

Autor: Wellington Santos Martins, Marcos André Gonçalves, Sergio Canuto, Daniel Xavier de Sousa, Thierson Couto Rosa

Publikováno v: ACM Transactions on Information Systems. 37:1-34

Learning to Rank (L2R) is one of the main research lines in Information Retrieval. Risk-sensitive L2R is a sub-area of L2R that tries to learn models that are good on average while at the same time reducing the risk of performing poorly in a few but

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::dc1af147aa6c5dd0b8e092f038f0dcbb
https://doi.org/10.1145/3300196

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Uma análise visual da cobertura de imunobiológicos, sua infraestrutura e efeitos no estado da Bahia

Autor: Gabriel de Almeida Nascimento, Francisco Rodrigo Moreni dos Reis, Renato Novais, Daniel Xavier de Sousa, Antonio Gabriel Souza Almeida

Publikováno v: Research, Society and Development. 11:e6811830402

O artigo ilustra a performance do Programa Nacional de Imunização (PNI) na Bahia, a cobertura da vacinação em relação à quantidade de habitantes, assim como a correlação com o investimento em saúde, através da extração e análise dos dad

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::c97236c1763c2319f27a8a60d6572649
https://doi.org/10.33448/rsd-v11i8.30402

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A Thorough Evaluation of Distance-Based Meta-Features for Automated Text Classification

Autor: Sergio Canuto, Marcos André Gonçalves, Daniel Xavier de Sousa, Thierson Couto Rosa

Publikováno v: IEEE Transactions on Knowledge and Data Engineering. 30:2242-2256

We address the problem of automatically learning to classify texts by exploiting information derived from meta-features, i.e., features derived from the original bag-of-words representation. Specifically, we provide an in-depth analysis on the recent

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::411ba6eb7a487aa644fe52b8b87493dd
https://doi.org/10.1109/tkde.2018.2820051

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Evolutionary Risk-Sensitive Feature Selection for Learning to Rank

Autor: Marcos André Gonçalves, Thierson Couto Rosa, Daniel Xavier De Sousa

Publikováno v: Anais do Concurso de Teses e Dissertações da SBC (CTD-SBC).

Aprendizado de Ranqueamento (AR) e uma das principais linhas de pesquisa em Recuperacao de Informacao contudo, com o crescente aumento de dados e complexos algoritmos de aprendizado de maquina, o esforco para processar todas as subtarefas em AR tem c

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::b159fb964561b51217c546313eb543c1
https://doi.org/10.5753/ctd.2019.6329

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Evolutionary Risk-Sensitive Feature Selection for Learning to Rank

Autor: Daniel Xavier de Sousa

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

Aprendizado de Ranqueamento (AR) é uma das principais linhas de pesquisa em Recuperação de Informação contudo, com o crescente aumento de dados e complexos algoritmos de aprendizado de máquina, o esforço para processar todas as subtarefas em A

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______3056::7a9576e4f1d5ed8f1c98f15d2f467d66

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