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20112017
most citedCharacterizing Classes of Potential Outliers through Traffic Data Set Data Signature 2D nMDS Projection

3 citations · 5 across the 4 of their papers we have counts for

collaborators

7 papers

cs.DS2017

Reoptimization of the Closest Substring Problem under Pattern Length Modification

Jhoirene B. Clemente, Henry N. Adorna

This study investigates whether reoptimization can help in solving the closest substring problem. We are dealing with the following reoptimization scenario. Suppose, we have an opt…

cs.OH20173 cited

Characterizing Classes of Potential Outliers through Traffic Data Set Data Signature 2D nMDS Projection

Erlo Robert F. Oquendo, Jhoirene B. Clemente, Jasmine A. Malinao +1

This paper presents a formal method for characterizing the potential outliers from the data signature projection of traffic data set using Non-Metric Multidimensional Scaling (nMDS…

cs.DC2016

PROJECTION Algorithm for Motif Finding on GPUs

Jhoirene B. Clemente, Francis George C. Cabarle, Henry N. Adorna

Motif finding is one of the NP-complete problems in Computational Biology. Existing nondeterministic algorithms for motif finding do not guarantee the global optimality of results…

cs.DS2016

On Self-Reducibility and Reoptimization of Closest Substring Problem

Jeffrey Aborot, Henry Adorna, Jhoirene Clemente

In this paper, we define the reoptimization variant of the closest substring problem (CSP) under sequence addition. We show that, even with the additional information we have about…

cs.NE20122 cited

On The Delays In Spiking Neural P Systems

Francis George C. Cabarle, Kelvin C. Buño, Henry N. Adorna

In this work we extend and improve the results done in a previous work on simulating Spiking Neural P systems (SNP systems in short) with delays using SNP systems without delays. W…

cs.NE2012

Time After Time: Notes on Delays In Spiking Neural P Systems

Francis George C. Cabarle, Kelvin C. Buño, Henry N. Adorna

Spiking Neural P systems, SNP systems for short, are biologically inspired computing devices based on how neurons perform computations. SNP systems use only one type of symbol, the…