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Tatiana Escovedo
Titel
Zitiert von
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Jahr
Aprendizagem colaborativa com suporte computacional: Uma perspectiva histórica
G Stahl, T Koschmann, D Suthers, H Fuks, T Escovedo
Boletim Gepem, 2008
742008
DetectA: abrupt concept drift detection in non-stationary environments
T Escovedo, A Koshiyama, AA da Cruz, M Vellasco
Applied Soft Computing 62, 119-133, 2018
612018
Requirements engineering for machine learning: A systematic mapping study
H Villamizar, T Escovedo, M Kalinowski
2021 47th Euromicro Conference on Software Engineering and Advanced …, 2021
492021
Introdução a Data Science: Algoritmos de Machine Learning e métodos de análise
T Escovedo, A Koshiyama
262020
Using business processes in system requirements definition
EA Carvalho, T Escovedo, RN Melo
2009 33rd Annual IEEE Software Engineering Workshop, 125-130, 2009
212009
GPF-class: a genetic fuzzy model for classification
AS Koshiyama, T Escovedo, DM Dias, MMBR Vellasco, R Tanscheit
2013 IEEE Congress on Evolutionary Computation, 3275-3282, 2013
142013
Avaliei, avaliei... ensinei? Investigações sobre avaliação nas conferências de um curso online
T Escovedo, M Pimentel, H Fuks, CJP de Lucena
Anais do Workshop de Informática na Escola 1 (1), 2006
122006
Neuroevolutionary learning in nonstationary environments
T Escovedo, A Koshiyama, AA da Cruz, M Vellasco
Applied Intelligence 50 (5), 1590-1608, 2020
92020
Engenharia de Software para Ciência de Dados: Um guia de boas práticas com ênfase na construção de sistemas de Machine Learning em Python
M Kalinowski, T Escovedo, H Villamizar, H Lopes
Casa do Código, 2023
82023
Neve++: A neuro-evolutionary unlimited ensemble for adaptive learning
T Escovedo, AA da Cruz, A Koshiyama, R Melo, M Vellasco
2014 International Joint Conference on Neural Networks (IJCNN), 3331-3338, 2014
82014
Learning under concept drift using a neuro-evolutionary ensemble
T Escovedo, AVABS DA CRUZ, MMBR VELLASCO, AS Koshiyama
International Journal of Computational Intelligence and Applications 12 (04 …, 2013
82013
GPFIS-Control: A fuzzy Genetic model for Control tasks
AS Koshiyama, T Escovedo, MMBR Vellasco, R Tanscheit
2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 1953-1959, 2014
72014
Uma análise comparativa entre as ferramentas OLAP como apoio a soluções de BI nas empresas
T Sá, A METEUS, M Iwanaga, A Ribeiro, T Escovedo, RN Melo
Rio de Janeiro: PUC RIO, 2012
62012
Neve: A neuro-evolutionary ensemble for adaptive learning
T Escovedo, AVA da Cruz, M Vellasco, AS Koshiyama
Artificial Intelligence Applications and Innovations: 9th IFIP WG 12.5 …, 2013
52013
Using ensembles for adaptive learning: A comparative approach
T Escovedo, AVA da Cruz, M Vellasco, AS Koshiyama
The 2013 International Joint Conference on Neural Networks (IJCNN), 1-7, 2013
42013
Combining Forecasts: A Genetic Programming Approach
AS Koshiyama, T Escovedo, DM Dias, MMBR Vellasco, MAC Pacheco
International Journal of Natural Computing Research (IJNCR) 3 (3), 41-58, 2012
42012
Avaliei, Avaliei
T Escovedo, M Pimentel, H Fuks, CJP Lucena
Ensinei, 2006
42006
Uma análise crítica sobre a aplicação do e-learning na educação musical
T Escovedo, FB Machado, D Silveira
Actas da 5a Conferência da APSI, Lisboa/Portugal, Novembro, 2004
42004
Status Quo and Problems of Requirements Engineering for Machine Learning: Results from an International Survey
APS Alves, M Kalinowski, G Giray, D Mendez, N Lavesson, K Azevedo, ...
International Conference on Product-Focused Software Process Improvement …, 2023
32023
Predicting imdb rating of tv series with deep learning: the case of arrow
AL Gomes, G Vianna, T Escovedo, M Kalinowski
Proceedings of the XVIII Brazilian Symposium on Information Systems, 1-6, 2022
32022
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