Coping with highly imbalanced datasets: a case study with definition extraction in a multilingual setting (2014)
- Authors:
- Autor USP: BATISTA, GUSTAVO ENRIQUE DE ALMEIDA PRADO ALVES - ICMC
- Unidade: ICMC
- DOI: 10.1017/S1351324912000381
- Assunto: INTELIGÊNCIA ARTIFICIAL
- Language: Inglês
- Imprenta:
- Source:
- Título: Natural Language Engineering
- ISSN: 1351-3249
- Volume/Número/Paginação/Ano: v. 20, n. 3, p. 327-359, jul. 2014
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
GAUDIO, Rosa Del e BATISTA, Gustavo Enrique de Almeida Prado Alves e BRANCO, António. Coping with highly imbalanced datasets: a case study with definition extraction in a multilingual setting. Natural Language Engineering, v. 20, n. 3, p. 327-359, 2014Tradução . . Disponível em: https://doi.org/10.1017/S1351324912000381. Acesso em: 27 jan. 2026. -
APA
Gaudio, R. D., Batista, G. E. de A. P. A., & Branco, A. (2014). Coping with highly imbalanced datasets: a case study with definition extraction in a multilingual setting. Natural Language Engineering, 20( 3), 327-359. doi:10.1017/S1351324912000381 -
NLM
Gaudio RD, Batista GE de APA, Branco A. Coping with highly imbalanced datasets: a case study with definition extraction in a multilingual setting [Internet]. Natural Language Engineering. 2014 ; 20( 3): 327-359.[citado 2026 jan. 27 ] Available from: https://doi.org/10.1017/S1351324912000381 -
Vancouver
Gaudio RD, Batista GE de APA, Branco A. Coping with highly imbalanced datasets: a case study with definition extraction in a multilingual setting [Internet]. Natural Language Engineering. 2014 ; 20( 3): 327-359.[citado 2026 jan. 27 ] Available from: https://doi.org/10.1017/S1351324912000381 - Evaluating ranking composition methods for multi-objective optimization of knowledge rules
- Quantification in data streams: initial results
- Flying insect classification with inexpensive sensors
- Flying insect detection and classification with inexpensive sensors
- Searching and mining trillions of time series subsequences under dynamic time warping
- Descoberta de regras de conhecimento utilizando computação evolutiva multi-objetivo
- A study of the use of complexity measures in the similarity search process adopted by kNN algorithm for time series prediction
- Discovering knowledge rules with multi-objective evolutionary computing
- Time series transductive classification on imbalanced data sets: an experimental study
- Counting and classifying mosquitoes from a distance with ultra cheap sensors
Informações sobre o DOI: 10.1017/S1351324912000381 (Fonte: oaDOI API)
How to cite
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
