Anselmo Chaves Neto

发表

Itaipu Hydroelectric Power Plant Structural Geotechnical Instrumentation Temporal Data Under the Application of Multivariate Analysis – Grouping and Ranking Techniques

Maria Teresinha Arns Steiner, Rosangela Villwock, Andrea Sell Dyminski, 2013 .

Model-Based Vibration Condition Monitoring for Fault Detection and Diagnostics in Large Hydrogenerators

Roberto Dalledone Machado, Anselmo Chaves Neto, Geraldo Carvalho Brito, 2018, Mechanisms and Machine Science.

Quality assessment of insulating oil in transformers with application of quadratic discriminant function

Anselmo Chaves Neto, Isabella Andreczevski Chaves, Henrik C. Gregorio, 2013, 2013 IEEE PES Conference on Innovative Smart Grid Technologies (ISGT Latin America).

Pattern Recognition Techniques applied to Evaluation Engineering Problem

Maria Teresinha Arns Steiner, Anselmo Chaves Neto, Silvia Neide Braulio, 2009 .

Time series forecasting with the WARIMAX-GARCH method

Anselmo Chaves Neto, Jairo Marlon Corrêa, Luiz Albino Teixeira Junior, 2016, Neurocomputing.

Structural Identification of Quasi White Noise Linear Models

Reinaldo Castro Souza, Anselmo Chaves Neto, Isabella Andreczevski Chaves, 2014 .

An Empirical Study of Time Series Forecasting Using Boosting Technique with Correlation Coefficient

Aurora Trinidad Ramirez Pozo, Anselmo Chaves Neto, Luzia Vidal de Souza, 2007, Seventh International Conference on Intelligent Systems Design and Applications (ISDA 2007).

Taguchi's Quality Measures (Loss Function and Signal-to-Noise Ratio) using an Application with a Graphical Interface

Anselmo Chaves Neto, Lucas Lamy, 2017 .

Bootstrap e mínimos quadrados generalizados com matriz de covariancia estimada

Anselmo Chaves Neto, A. C. Neto, 2012 .

The boosting technique using correlation coefficient to improve time series forecasting accuracy

Aurora Trinidad Ramirez Pozo, Anselmo Chaves Neto, Luzia Vidal de Souza, 2007, 2007 IEEE Congress on Evolutionary Computation.

Using Correlation to Improve Boosting Technique: An Application for Time Series Forecasting

Aurora Trinidad Ramirez Pozo, Anselmo Chaves Neto, Luzia Vidal de Souza, 2006, 2006 18th IEEE International Conference on Tools with Artificial Intelligence (ICTAI'06).

Genetic Programming and Boosting Technique to Improve Time Series Forecasting

Anselmo Chaves Neto, Aurora Pozo, Luzia Vidal de Souza, 2009 .

Principal components in multivariate control charts applied to data instrumentation of DAMS

Anselmo Chaves Neto, Luiz Albino Teixeira Júnior, Emerson Lazzarotto, 2016 .

Applying correlation to enhance boosting technique using genetic programming as base learner

Aurora Trinidad Ramirez Pozo, Anselmo Chaves Neto, Luzia Vidal de Souza, 2010, Applied Intelligence.

Estimates by bootstrap interval for time series forecasts obtained by theta model

Anselmo Chaves Neto, Daniel S. Steffen, 2017 .

Experimental Aspects in the Vibration-Based Condition Monitoring of Large Hydrogenerators

Roberto Dalledone Machado, Anselmo Chaves Neto, Geraldo Carvalho Brito Junior, 2017 .