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20162020
most citedTheoretical Foundations of Forward Feature Selection Methods based on Mutual Information

1 citations · 2 across the 5 of their papers we have counts for

collaborators

5 papers

cs.NI2020

HPIM-DM: a fast and reliable dense-mode multicast routing protocol (extended version)

Pedro Oliveira, Alexandre Silva, Rui Valadas

This paper proposes the HPIM-DM (Hard-state Protocol Independent Multicast - Dense Mode) multicast routing protocol. HPIM-DM is a hard-state version of PIM-DM that keeps its main c…

math.ST2018

Association measures for interval variables

M. Rosário Oliveira, Margarida Azeitona, António Pacheco +1

Symbolic Data Analysis (SDA) is a relatively new field of statistics that extends conventional data analysis by taking into account intrinsic data variability and structure. Unlike…

cs.NI2017

OSPF extension for the support of multi-area networks with arbitrary topologies

Rui Valadas

OSPF currently supports multi-area networking with two severe limitations, due to the distance vector approach taken in the inter-area routing protocol: (i) the multi-area topology…

stat.ML2017★ 1 cited

Theoretical Foundations of Forward Feature Selection Methods based on Mutual Information

Francisco Macedo, M. Rosário Oliveira, António Pacheco +1

Feature selection problems arise in a variety of applications, such as microarray analysis, clinical prediction, text categorization, image classification and face recognition, mul…

stat.ML2016★ 1 cited

Theoretical Evaluation of Feature Selection Methods based on Mutual Information

Cláudia Pascoal, M. Rosário Oliveira, António Pacheco +1

Feature selection methods are usually evaluated by wrapping specific classifiers and datasets in the evaluation process, resulting very often in unfair comparisons between methods.…