[КНИГА][B] Handbook of approximation algorithms and metaheuristics

TF Gonzalez - 2007 - taylorfrancis.com
Delineating the tremendous growth in this area, the Handbook of Approximation Algorithms
and Metaheuristics covers fundamental, theoretical topics as well as advanced, practical …

Distinguishing childhood absence epilepsy patients from controls by the analysis of their background brain electrical activity (II): a combinatorial optimization approach …

OA Rosso, A Mendes, R Berretta, JA Rostas… - Journal of neuroscience …, 2009 - Elsevier
In this sequel to our previous work [Rosso OA, Mendes A, Rostas JA, Hunter M, Moscato P.
Distinguishing childhood absence epilepsy patients from controls by the analysis of their …

Optimasi Neural Network Dengan Algoritma Genetika Untuk Prediksi Hasil Pemilukada

M Badrul - Bina Insani ICT Journal, 2016 - 101.255.92.196
Indonesia merupakan salah satu negara demokratis di dunia ini. Negara Indonesia yang
terdiri dari beberapa kepulauan melahirkan berbagai macam suku dan budaya. Negara …

Genetic signatures for a rodent model of Parkinson's disease using combinatorial optimization methods

M Hourani, R Berretta, A Mendes, P Moscato - … : Structure, Function and …, 2008 - Springer
This chapter illustrates the use of the combinatorial optimization models presented in
Chapter 19 for the Feature Set selection and Gene Ordering problems to find genetic …

Selection of discriminative genes in microarray experiments using mathematical programming

R Berretta, A Mendes, P Moscato - Journal of Research and …, 2007 - search.informit.org
Microarray technologies allow the measurement of thousands of gene expression levels
simultaneously. With them biologists can have a powerful new tool to analyse the complex …

Genes related with Alzheimer's disease: A comparison of evolutionary search, statistical and integer programming approaches

P Moscato, R Berretta, M Hourani, A Mendes… - … , Switzerland, March 30 …, 2005 - Springer
Three different methodologies have been applied to microarray data from brains of
Alzheimer diagnosed patients and healthy patients taken as control. A clear pattern of …

Novel Biomarkers for Prostate Cancer Revealed by (α,β)-k-Feature Sets

MG Ravetti, R Berretta, P Moscato - Foundations of Computational …, 2009 - Springer
In this chapter we present a method based on the (α, β)-k-feature set problem for identifying
relevant attributes in high-dimensional datasets for classification purposes. We present a …

A fast meta-heuristic approach for the -feature set problem

M Rocha de Paula, R Berretta, P Moscato - Journal of Heuristics, 2016 - Springer
The feature selection problem aims to choose a subset of a given set of features that best
represents the whole in a particular aspect, preserving the original semantics of the …

The (α, β)-k Boolean Signatures of Molecular Toxicity: Microcystin as a Case Study

P Moscato, S Jaeger-Honz, MN Haque, F Schreiber - bioRxiv, 2024 - biorxiv.org
Abstract Background The (α, β)-k-Feature Set Problem is a combinatorial problem, that has
been proven as alternative to typical methods for reducing the dimensionality of large …