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Journal Articles (Revistas)
 Selection of Representative Models for Decision Analysis Under Uncertainty.
 A systematic approach to bound factor-revealing LPs and its application to the metric and squared metric facility location problems.
 acc-Motif: Accelerated Network Motif Detection.
 How far do we get using machine learning black-boxes?
 Semidefinite Programming Based Algorithms for the Sparsest Cut Problem.
 A greedy approximation algorithm for the uniform metric labeling problem analyzed by a primal-dual technique.
Conference Papers (Congressos)
 Fusion Tree Sorting.
 A Systematic Approach to Bound Factor Revealing LPs and Its Application to the Metric and Squared Metric Facility Location Problems.
 Accelerated Motif Detection Using Combinatorial Techniques.
 How Far You Can Get Using Machine Learning Black-Boxes.
 Attribute-Value Specification in Customs Fraud Detection: A Human-Aided Approach.
 Uses of artificial intelligence in the Brazilian customs fraud detection system.
 A Continuous Facility Location Problem and its Application to a Clustering Problem.
 A Greedy Approximation Algorithm for the Uniform Labeling Problem Analyzed by a Primal-Dual Technique.