Analysis of the backpropagation algorithm using linear algebra. - Celso André Rodrigues de Sousa (IJCNN, 2012)

Influence of Graph Construction on Semi-supervised Learning. - Celso André R. de Sousa; Solange O. Rezende; Gustavo E. A. P. A. Batista (ECML/PKDD (3), 2013)

Time Series Transductive Classification on Imbalanced Data Sets: An Experimental Study. - Celso André R. de Sousa; Vinícius M. A. de Souza; Gustavo E. A. P. A. Batista (ICPR, 2014)

Development of Adaptive Information Visualization Systems with Augmented Reality. - Ezequiel Roberto Zorzal; Celso André Rodrigues de Sousa; Alexandre Cardoso; Claudio Kirner; Edgard Afonso Lamounier; Marcos G. Quiles (IV, 2014)

An overview on the Gaussian Fields and Harmonic Functions method for semi-supervised learning. - Celso André R. de Sousa (IJCNN, 2015)

An experimental analysis on time series transductive classification on graphs. - Celso André R. de Sousa; Vinícius M. A. de Souza; Gustavo E. A. P. A. Batista (IJCNN, 2015)

Constrained Local and Global Consistency for semi-supervised learning. - Celso André R. de Sousa; Gustavo E. A. P. A. Batista (ICPR, 2016)

An overview on weight initialization methods for feedforward neural networks. - Celso André R. de Sousa (IJCNN, 2016)

An inductive semi-supervised learning approach for the Local and Global Consistency algorithm. - Celso André R. de Sousa (IJCNN, 2016)

Kernelized Constrained Gaussian Fields and Harmonic Functions for Semi-supervised Learning. - Celso André R. de Sousa (IJCNN, 2020)