Univariate and Multivariate Linear Regression Methods to Predict Interval-Valued Features. - Eufrasio de Andrade Lima Neto; Francisco de A. T. de Carvalho; Camilo P. Tenorio (Australian Conference on Artificial Intelligence, 2004)

Two Partitional Methods for Interval-Valued Data Using Mahalanobis Distances. - Renata M. C. R. de Souza; Francisco de A. T. de Carvalho; Camilo P. Tenorio (IBERAMIA, 2004)

A New Method to Fit a Linear Regression Model for Interval-Valued Data. - Francisco de A. T. de Carvalho; Eufrasio de Andrade Lima Neto; Camilo P. Tenorio (KI, 2004)

Partitional fuzzy clustering methods based on adaptive quadratic distances. - Francisco de A. T. de Carvalho; Camilo P. Tenorio; Nicomedes L. Cavalcanti Junior (Fuzzy Sets Syst., 2006)

A Partitioning Fuzzy Clustering Algorithm for Symbolic Interval Data based on Adaptive Mahalanobis Distances. - Camilo P. Tenorio; Francisco de A. T. de Carvalho; Julio T. Pimentel (HIS, 2007)

Fuzzy K-means clustering algorithms for interval-valued data based on adaptive quadratic distances. - Francisco de A. T. de Carvalho; Camilo P. Tenorio (Fuzzy Sets Syst., 2010)