7 citations · 12 across the 4 of their papers we have counts for
5 papers
RIn-Close_CVC2: an even more efficient enumerative algorithm for biclustering of numerical datasets
Rosana Veroneze, Fernando J. Von Zuben
RIn-Close_CVC is an efficient (take polynomial time per bicluster), complete (find all maximal biclusters), correct (all biclusters attend the user-defined level of consistency) an…
Efficient mining of maximal biclusters in mixed-attribute datasets
Rosana Veroneze, Fernando J. Von Zuben
This paper presents a novel enumerative biclustering algorithm to directly mine all maximal biclusters in mixed-attribute datasets (containing both numerical and categorical attrib…
Spatial Projection of Multiple Climate Variables using Hierarchical Multitask Learning
André R. Gonçalves, Arindam Banerjee, Fernando J. Von Zuben
Future projection of climate is typically obtained by combining outputs from multiple Earth System Models (ESMs) for several climate variables such as temperature and precipitation…
Hybrid Algorithm for Multi-Objective Optimization by Greedy Hypervolume Maximization
Conrado Silva Miranda, Fernando José Von Zuben
This paper introduces a high-performance hybrid algorithm, called Hybrid Hypervolume Maximization Algorithm (H2MA), for multi-objective optimization that alternates between explori…
Asymmetric Distributions from Constrained Mixtures
Conrado S. Miranda, Fernando J. Von Zuben
This paper introduces constrained mixtures for continuous distributions, characterized by a mixture of distributions where each distribution has a shape similar to the base distrib…