Cláudio M. S. Medeiros

An Efficient Method for Pruning the Multilayer Perceptron Based on the Correlation of Errors

Guilherme De A. Barreto, Cláudio M. S. Medeiros, Cláudio M. S. Medeiros, 2007, ICANN.

Pruning the Multilayer Perceptron through the Correlation of Backpropagated Errors

Guilherme De A. Barreto, Cláudio M. S. Medeiros, Cláudio M. S. Medeiros, 2007, Seventh International Conference on Intelligent Systems Design and Applications (ISDA 2007).

Classification and sensitivity analysis to detect fault in induction motors using an MLP network

Renan Gomes Vieira, Elias Teodoro Silva, Cláudio M. S. Medeiros, 2016, 2016 International Joint Conference on Neural Networks (IJCNN).

A novel weight pruning method for MLP classifiers based on the MAXCORE principle

Guilherme De A. Barreto, Cláudio M. S. Medeiros, Cláudio M. S. Medeiros, 2011, Neural Computing and Applications.

Goat Leather Quality Classification Using Computer Vision and Machine Learning

Pedro Pedrosa Rebouças Filho, Cláudio M. S. Medeiros, Renato F. Pereira, 2018, 2018 International Joint Conference on Neural Networks (IJCNN).

Performance comparison of classifiers in the detection of short circuit incipient fault in a three-phase induction motor

Guilherme De A. Barreto, José Daniel A. Santos, Cláudio M. S. Medeiros, 2014, 2014 IEEE Symposium on Computational Intelligence for Engineering Solutions (CIES).

LVQ-type Classifiers for Condition Monitoring of Induction Motors: A Performance Comparison

Guilherme De A. Barreto, Cláudio M. S. Medeiros, Charles C. Cavalcante, 2019, WSOM+.

Detection of short circuit faults in 3-phase converter-fed induction motors using kernel SOMs

Guilherme De A. Barreto, Cláudio M. S. Medeiros, David N. Coelho, 2017, 2017 12th International Workshop on Self-Organizing Maps and Learning Vector Quantization, Clustering and Data Visualization (WSOM).

Short Circuit Incipient Fault Detection and Supervision in a Three-Phase Induction Motor with a SOM-Based Algorithm

Cláudio M. S. Medeiros, David N. Coelho, 2012, WSOM.

Estimating the Number of Hidden Neurons of the MLP Using Singular Value Decomposition and Principal Components Analysis: A Novel Approach

Guilherme De A. Barreto, José Daniel A. Santos, Cláudio M. S. Medeiros, 2010, 2010 Eleventh Brazilian Symposium on Neural Networks.