P. Moscato

Pablo Moscato, Maria do Carmo Nicoletti, Luciana Montera, 2008, 2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence).

Basal-like breast cancer: molecular profiles, clinical features and survival outcomes

P. Moscato, R. Berretta, H. Milioli, 2017, BMC Medical Genomics.

Efficient data partitioning for the GPU computation of moment functions

Pablo Moscato, Manuel Ujaldon, Manuel Jesús Martín-Requena, 2014, J. Parallel Distributed Comput..

Introducing Clustering with a Focus in Marketing and Consumer Analysis

Pablo Moscato, Natalie Jane de Vries, Lukasz P. Olech, 2019, Business and Consumer Analytics: New Ideas.

A Gentle Introduction to Memetic Algorithms

Pablo Moscato, Carlos Cotta, C. Cotta, 2003, Handbook of Metaheuristics.

A Modern Introduction to Memetic Algorithms

Pablo Moscato, Carlos Cotta, C. Cotta, 2010 .

Memetic Algorithms

Pablo Moscato, Carlos Cotta, P. Moscato, 2007, Handbook of Approximation Algorithms and Metaheuristics.

Gene ordering in microarray data using parallel memetic algorithms

Pablo Moscato, Carlos Cotta, Paulo M. França, 2005, 2005 International Conference on Parallel Processing Workshops (ICPPW'05).

VLSI design: gate matrix layout problem

Pablo Moscato, Alexandre Linhares, Alexandre Mendes, 2004 .

An Introduction to Memetic Algorithms

P. Moscato, C. Cotta Porras, P. Moscato, 2003 .

Consumer Behaviour and Marketing Fundamentals for Business Data Analytics

Pablo Moscato, Natalie Jane de Vries, P. Moscato, 2019, Business and Consumer Analytics: New Ideas.

M-Link: a link clustering memetic algorithm for overlapping community detection

Regina Berretta, Pablo Moscato, Ademir C. Gabardo, 2020, Memetic Computing.

M-Link: a link clustering memetic algorithm for overlapping community detection

P. Moscato, R. Berretta, A. C. Gabardo, 2020, Memetic Computing.

Overlapping Communities in Co-purchasing and Social Interaction Graphs: A Memetic Approach

Regina Berretta, Pablo Moscato, Ademir Gabardo, 2019, Business and Consumer Analytics: New Ideas.

Business Network Analytics: From Graphs to Supernetworks

Pablo Moscato, P. Moscato, 2019, Business and Consumer Analytics: New Ideas.

A memetic algorithm for community detection by maximising the connected cohesion

Pablo Moscato, Luke Mathieson, Mohammad Nazmul Haque, 2017, 2017 IEEE Symposium Series on Computational Intelligence (SSCI).

Where Does My Brand End? An Overlapping Community Approach

Regina Berretta, Pablo Moscato, Natalie Jane de Vries, 2017 .

A Novel Clustering Methodology Based on Modularity Optimisation for Detecting Authorship Affinities in Shakespearean Era Plays

Regina Berretta, Pablo Moscato, Hugh Craig, 2016, PloS one.

MA-Net: A reliable memetic algorithm for community detection by modularity optimization

Regina Berretta, Pablo Moscato, Leila Moslemi Naeni, 2015 .

Benchmarking a memetic algorithm for ordering microarray data

Regina Berretta, Pablo Moscato, Alexandre Mendes, 2007, Biosyst..

On Evolution, Search, Optimization, Genetic Algorithms and Martial Arts : Towards Memetic Algorithms

Pablo Moscato, P. Moscato, 1989 .

Memetic Algorithms for Business Analytics and Data Science: A Brief Survey

Pablo Moscato, Luke Mathieson, P. Moscato, 2019, Business and Consumer Analytics: New Ideas.

A memetic algorithm for the quadratic assignment problem with parallel local search

Mario Inostroza-Ponta, Regina Berretta, Pablo Moscato, 2015, 2015 IEEE Congress on Evolutionary Computation (CEC).

Handbook of Memetic Algorithms

Pablo Moscato, Carlos Cotta, Ferrante Neri, 2011, Studies in Computational Intelligence.

A fast meta-heuristic approach for the $$(\alpha ,\beta )-k$$(α,β)-k-feature set problem

Regina Berretta, Pablo Moscato, Mateus Rocha de Paula, 2015, J. Heuristics.

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

P. Moscato, R. Berretta, M. R. D. Paula, 2015 .

Disclosed: An efficient depth-first, top-down algorithm for mining disjunctive closed itemsets in high-dimensional data

Pablo Moscato, Renato Vimieiro, P. Moscato, 2014, Inf. Sci..

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

Regina Berretta, Pablo Moscato, Martín Gómez Ravetti, 2009, Foundations of Computational Intelligence.

A proposal for direct-ordering gene expression data by self-organising maps

Pablo Moscato, Fernando José Von Zuben, Lalinka de C. T. Gomes, 2004, Appl. Soft Comput..

Identification of Differentially Expressed Genes through Integrated Study of Alzheimer’s Disease Affected Brain Regions

Regina Berretta, Pablo Moscato, Carlos Riveros, 2016, PloS one.

The Gene Interaction Miner: a new tool for data mining contextual information for protein-protein interaction analysis

Pablo Moscato, Alexandre Mendes, Carlos Riveros, 2010, Bioinform..

Mining disjunctive minimal generators with TitanicOR

Pablo Moscato, Renato Vimieiro, P. Moscato, 2012, Expert Syst. Appl..

Changes in brain transcripts related to Alzheimer's disease in a model of HFE hemochromatosis are not consistent with increased Alzheimer's disease risk.

Daniel M. Johnstone, R. Scott, P. Moscato, 2012, Journal of Alzheimer's disease : JAD.

Plasmapheresis in cryoglobulinemic neuropathy: a clinical study.

P. Moscato, E. Tirri, S. Scarpato, 2007, Digestive and liver disease : official journal of the Italian Society of Gastroenterology and the Italian Association for the Study of the Liver.

Sifting the wheat from the chaff: prioritizing GWAS results by identifying consistency across analytical methods

Jie Jin Wang, Christopher Oldmeadow, Paul Mitchell, 2011, Genetic epidemiology.

Common variants at 6p21.1 are associated with large artery atherosclerotic stroke

Benjamin F. J. Verhaaren, C. Sudlow, M. Fornage, 2012, Nature Genetics.

Applying Memetic Algorithms to the Analysis of Microarray Data

Pablo Moscato, Carlos Cotta, Paulo M. França, 2003, EvoWorkshops.

Genome-wide association study identifies new multiple sclerosis susceptibility loci on chromosomes 12 and 20

Pablo Moscato, Rodney J. Scott, Brian L. Browning, 2009, Nature Genetics.

kNN-Borůvka-GPU: A Fast and Scalable MST Construction from kNN Graphs on GPU

Regina Berretta, Pablo Moscato, Carlos Riveros, 2012, ICCSA.

GPU-FS-kNN: A Software Tool for Fast and Scalable kNN Computation Using GPUs

Regina Berretta, Pablo Moscato, Carlos Riveros, 2012, PloS one.

‘Neuroinflammation’ differs categorically from inflammation: transcriptomes of Alzheimer's disease, Parkinson's disease, schizophrenia and inflammatory diseases compared

A. Arefin, M. Graeber, P. Moscato, 2014, neurogenetics.

Combinatorial optimization models for finding genetic signatures from gene expression datasets.

Regina Berretta, Pablo Moscato, Wagner Costa, 2008, Methods in molecular biology.

Blood metabolite markers of preclinical Alzheimer's disease in two longitudinally followed cohorts of older individuals

V. Gudnason, Y. An, S. Varma, 2016, Alzheimer's & Dementia.

Iteratively refining breast cancer intrinsic subtypes in the METABRIC dataset

Regina Berretta, Pablo Moscato, Renato Vimieiro, 2016, BioData Mining.

Regina Berretta, Pablo Moscato, Carlos Cotta, 2005, EvoWorkshops.

Microarrays--identifying molecular portraits for prostate tumors with different Gleason patterns.

Pablo Moscato, Rodney J Scott, Alexandre Mendes, 2008, Methods in molecular medicine.

Enhancing the performance of memetic algorithms by using a matching-based recombination algorithm

Regina Berretta, Pablo Moscato, Carlos Cotta, 2004 .

Multivariate Protein Signatures of Pre-Clinical Alzheimer's Disease in the Alzheimer's Disease Neuroimaging Initiative (ADNI) Plasma Proteome Dataset

Regina Berretta, Pablo Moscato, Daniel M. Johnstone, 2012, PloS one.

Integer Programming Models and Algorithms for Molecular Classification of Cancer from Microarray Data

Regina Berretta, Pablo Moscato, Alexandre Mendes, 2005, ACSC.

Unveiling Clusters of RNA Transcript Pairs Associated with Markers of Alzheimer’s Disease Progression

Regina Berretta, Pablo Moscato, Luke Mathieson, 2012, PloS one.

An Information Theoretic Clustering Approach for Unveiling Authorship Affinities in Shakespearean Era Plays and Poems

Pablo Moscato, Renato Vimieiro, Carlos Riveros, 2014, PloS one.

Marketing Meets Data Science: Bridging the Gap

Pablo Moscato, Natalie Jane de Vries, P. Moscato, 2019, Business and Consumer Analytics: New Ideas.

Evolutionary Computation: Challenges and duties

Pablo Moscato, Carlos Cotta, C. Cotta, 2004 .

Deep neural networks understand investors better

Pablo Moscato, Paul Docherty, Nader Mahmoudi, 2018, Decis. Support Syst..

Ordering Gene Expression Data Using One-dimensional Self-Organizing Maps

Pablo Moscato, Fernando José Von Zuben, Lalinka de C. T. Gomes, 2002, WOB.

A Kernelisation Approach for Multiple d-Hitting Set and Its Application in Optimal Multi-Drug Therapeutic Combinations

Pablo Moscato, Luke Mathieson, Elena Prieto, 2010, PloS one.

Impact of androgen suppression and zoledronic acid on bone mineral density and fractures in the Trans‐Tasman Radiation Oncology Group (TROG) 03.04 Randomised Androgen Deprivation and Radiotherapy (RADAR) randomized controlled trial for locally advanced prostate cancer

B. Delahunt, P. Moscato, P. McElduff, 2014, BJU international.

Identifying Communities of Trust and Confidence in the Charity and Not-for-Profit Sector: A Memetic Algorithm Approach

Regina Berretta, Pablo Moscato, Natalie Jane de Vries, 2014, 2014 IEEE Fourth International Conference on Big Data and Cloud Computing.

Semi-supervised and unsupervised anomaly detection by mining numerical workflow relations from system logs

P. Moscato, Bo Zhang, Aozhong Zhang, 2022, Automated Software Engineering.

Evolutionary algorithms for scheduling a flowshop manufacturing cell with sequence dependent family setups

Pablo Moscato, Paulo M. França, Jatinder N.D. Gupta, 2005, Comput. Ind. Eng..

Basal-like breast cancer: molecular profiles, clinical features and survival outcomes

Regina Berretta, Pablo Moscato, Carlos Riveros, 2017, BMC Medical Genomics.

On worst-case and comparative analysis as design principles for efficient recombination operators: a graph colouring case study

Pablo Moscato, Pablo E. Coll, P. Moscato, 1999 .

A New Memetic Algorithm for the Asymmetric Traveling Salesman Problem

Pablo Moscato, Luciana S. Buriol, Paulo M. França, 2004, J. Heuristics.

A mixed evolutionary-statistical analysis of an algorithm's complexity

Pablo Moscato, Carlos Cotta, C. Cotta, 2003, Appl. Math. Lett..

Memetic Algorithms for molecular conformation and other optimization problems

Pablo Moscato, P. Moscato, 2007 .

3 Memetic Algorithms

Pablo Moscato, Carlos Cotta, Alexandre Mendes, 2004 .

An Accelerated Introduction to Memetic Algorithms

Pablo Moscato, Carlos Cotta, C. Cotta, 2018, Handbook of Metaheuristics.

Lot Sizing and Scheduling for Perishable Food Products: A Review

Pablo Moscato, Regina Berretta, Alistair Clark, 2020, Reference Module in Food Science.

New ideas in optimization

Riccardo Poli, Pablo Moscato, Marco Dorigo, 1999 .

An introduction to population approaches for optimization and hierarchical objective functions: A discussion on the role of tabu search

Pablo Moscato, P. Moscato, 1993, Ann. Oper. Res..

Editorial: Memetic Computing: Accelerating optimization heuristics with problem-dependent local search methods

C. Cotta, J. Ser, E. Osaba, 2022, Swarm and Evolutionary Computation.

A memetic algorithm for the total tardiness single machine scheduling problem

Pablo Moscato, Paulo M. França, Alexandre Mendes, 2001, Eur. J. Oper. Res..

ARBITRARILY LARGE PLANAR ETSP INSTANCES WITH KNOWN OPTIMAL TOURS

Pablo Moscato, P. Moscato, Adrian Mariano, 2007 .

The Parameterized Complexity of Multiparent Recombination

C. Cotta, P. Moscato, 2005 .

Computer-Aided Breast Cancer Diagnosis with Optimal Feature Sets: Reduction Rules and Optimization Techniques.

Pablo Moscato, Alexandre Mendes, Luke Mathieson, 2017, Methods in molecular biology.

The Cohesion-Based Communities of Symptoms of the Largest Component of the DSM-IV Network

Mohammad Nazmul Haque, P. Moscato, 2018, J. Interconnect. Networks.

Distinguishing childhood absence epilepsy patients from controls by the analysis of their background brain electrical activity (II): A combinatorial optimization approach for electrode selection

Regina Berretta, Pablo Moscato, Osvaldo A. Rosso, 2009, Journal of Neuroscience Methods.

Using the QAPgrid Visualization Approach for Biomarker Identification of Cell-Specific Transcriptomic Signatures.

Mario Inostroza-Ponta, Pablo Moscato, Chloe Warren, 2017, Methods in molecular biology.

Memetic Algorithms in Bioinformatics

Regina Berretta, Pablo Moscato, Carlos Cotta, 2012, Handbook of Memetic Algorithms.

Saliva-derived DNA performs well in large-scale, high-density SNP microarray studies

Marilyn, Merriman, Booth, 2017 .

Identification of a 5-Protein Biomarker Molecular Signature for Predicting Alzheimer's Disease

Pablo Moscato, Martín Gómez Ravetti, P. Moscato, 2008, PloS one.

Relative Neighborhood Graphs Uncover the Dynamics of Social Media Engagement

Pablo Moscato, Natalie Jane de Vries, Luke Mathieson, 2016, ADMA.

Engagement in Motion: Exploring Short Term Dynamics in Page-Level Social Media Metrics

Regina Berretta, Pablo Moscato, Natalie Jane de Vries, 2014, 2014 IEEE Fourth International Conference on Big Data and Cloud Computing.

Heterogeneous Ensemble Combination Search Using Genetic Algorithm for Class Imbalanced Data Classification

Regina Berretta, Pablo Moscato, Nasimul Noman, 2016, PloS one.

Separating sets of strings by finding matching patterns is almost always hard

Pablo Moscato, Giuseppe Lancia, Luke Mathieson, 2016, Theor. Comput. Sci..

A Computational Approach for Designing Combination Therapy in Combating Glioblastoma

Pablo Moscato, Nasimul Noman, Terry Truong, 2019, 2019 IEEE Congress on Evolutionary Computation (CEC).

Big data for big questions: it is time for data analysts to act

P. Moscato, 2015, Future science OA.

Are Myocardial Infarction–Associated Single-Nucleotide Polymorphisms Associated With Ischemic Stroke?

J. Danesh, D. Hernandez, M. Nalls, 2012, Stroke.

Ischemic Stroke? Associated Single-Nucleotide Polymorphisms Associated With - Are Myocardial Infarction

J. Danesh, D. Hernandez, M. Nalls, 2012 .

Fitness landscapes for the Total Tardiness Single Machine Scheduling problem

Pablo Moscato, P. Moscato, Alexandre Mendes, 2022 .

Evaluation of Different Normalization and Analysis Procedures for Illumina Gene Expression Microarray Data Involving Small Changes

Regina Berretta, Rodney J. Scott, Carlos Riveros, 2013, Microarrays.

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

Regina Berretta, Pablo Moscato, Alexandre Mendes, 2008, Methods in molecular biology.

Optimising weights for heterogeneous ensemble of classifiers with differential evolution

Regina Berretta, Pablo Moscato, Nasimul Noman, 2016, 2016 IEEE Congress on Evolutionary Computation (CEC).

Automatic Discovery and Cleansing of Numerical Metamorphic Relations

Pablo Moscato, Hongyu Zhang, Junjie Chen, 2019, 2019 IEEE International Conference on Software Maintenance and Evolution (ICSME).

An Introduction to Proximity Graphs

Pablo Moscato, Luke Mathieson, P. Moscato, 2019, Business and Consumer Analytics: New Ideas.

Population Studies for the Gate Matrix Layout Problem

Pablo Moscato, Paulo M. França, Alexandre Mendes, 2002, IBERAMIA.

2 A VLSI optimization problem : Gate Matrix Layout

P. Moscato, Alexandre Mendes, P. França, 2022 .

Evolutionary Search of Thresholds for Robust Feature Set Selection: Application to the Analysis of Microarray Data

Pablo Moscato, Carlos Cotta, Christian Sloper, 2004, EvoWorkshops.

The Electronic Primaries: Predicting the U.S. Presidency Using Feature Selection with Safe Data Reduction

Regina Berretta, Pablo Moscato, Alexandre Mendes, 2005, ACSC.

kNN-MST-Agglomerative: A fast and scalable graph-based data clustering approach on GPU

P. Moscato, A. S. Arefin, C. Riveros, 2012, 2012 7th International Conference on Computer Science & Education (ICCSE).

Computing large-scale distance matrices on GPU

P. Moscato, A. S. Arefin, C. Riveros, 2012, 2012 7th International Conference on Computer Science & Education (ICCSE).

Clustering Nodes in Large-Scale Biological Networks Using External Memory Algorithms

Mario Inostroza-Ponta, Regina Berretta, Pablo Moscato, 2011, ICA3PP.

Identification of genome-wide SNP-SNP and SNP-clinical Boolean interactions in age-related macular degeneration.

Jie Jin Wang, Christopher Oldmeadow, Paul Mitchell, 2015, Methods in molecular biology.

Continued fractions and the Thomson problem

Mohammad Nazmul Haque, P. Moscato, Anna Moscato, 2023, Scientific Reports.

Analytic Continued Fractions for Regression: A Memetic Algorithm Approach pdf

Pablo Moscato, Haoyuan Sun, Mohammad Nazmul Haque, 2019, Expert Syst. Appl..

Dynamic Depth for Better Generalization in Continued Fraction Regression

N. Noman, P. Moscato, A. Ciezak, 2023, GECCO.

Approximating the Boundaries of Unstable Nuclei Using Analytic Continued Fractions

P. Moscato, R. Grebogi, 2023, GECCO Companion.

Learning to extrapolate using continued fractions: Predicting the critical temperature of superconductor materials

Mohammad Nazmul Haque, P. Moscato, Kevin Huang, 2020, Algorithms.

Multiple regression techniques for modeling dates of first performances of Shakespeare-era plays pdf

Pablo Moscato, Mohammad Nazmul Haque, Hugh Craig, 2021, Expert Syst. Appl..

From Ensemble Learning to Meta-Analytics: A Review on Trends in Business Applications

Pablo Moscato, Mohammad Nazmul Haque, P. Moscato, 2019, Business and Consumer Analytics: New Ideas.

mQAPViz: a divide-and-conquer multi-objective optimization algorithm to compute large data visualizations

Regina Berretta, Pablo Moscato, Claudio Sanhueza, 2018, GECCO.

QAPgrid: A Two Level QAP-Based Approach for Large-Scale Data Analysis and Visualization

Mario Inostroza-Ponta, Regina Berretta, Pablo Moscato, 2011, PloS one.

Combinatorial and Algorithmic Issues for Microarray Analysis

Pablo Moscato, Carlos Cotta, Michael A. Langston, 2007, Handbook of Approximation Algorithms and Metaheuristics.

The multiple sclerosis whole blood mRNA transcriptome and genetic associations indicate dysregulation of specific T cell pathways in pathogenesis.

M. Brown, Mathew B. Cox, Kaushal S. Gandhi, 2010, Human molecular genetics.

Blood metabolite markers of preclinical Alzheimer's disease in two longitudinally followed cohorts of older individuals

V. Gudnason, Y. An, S. Varma, 2016, Alzheimer's & Dementia.

World's Best Universities and Personalized Rankings

Mario Inostroza-Ponta, Pablo Moscato, Natalie Jane de Vries, 2018, Handbook of Heuristics.

Comparing meta-heuristic approaches for parallel machine scheduling problems

Pablo Moscato, Paulo Morelato França, Felipe Martins Müller, 2002 .

Memetic algorithms using guided local search: a case study

Pablo Moscato, Diana Holstein, P. Moscato, 1999 .

MEMETIC ALGORITHMS TO MINIMIZE TARDINESS ON A SINGLE MACHINE WITH SEQUENCE-DEPENDENT SETUP TIMES

Pablo Moscato, Paulo Morelato França, Alexandre Mendes, 1999 .

A Memetic Algorithm for Symbolic Regression

Pablo Moscato, Haoyuan Sun, P. Moscato, 2019, 2019 IEEE Congress on Evolutionary Computation (CEC).

Symbolic Regression Modeling of Drug Responses

Pablo Moscato, Jake Fitzsimmons, P. Moscato, 2018, 2018 First International Conference on Artificial Intelligence for Industries (AI4I).

Analytic Continued Fractions for Regression: Results on 352 datasets from the physical sciences

Pablo Moscato, Haoyuan Sun, Mohammad Nazmul Haque, 2020, 2020 IEEE Congress on Evolutionary Computation (CEC).

The Unexpected Virtue of Problem Reductions or How to Solve Problems Being Lazy but Wise

Pablo Moscato, Luke Mathieson, P. Moscato, 2020, 2020 IEEE Symposium Series on Computational Intelligence (SSCI).

Visualizing Products and Consumers: A Gestalt Theory Inspired Method

Mario Inostroza-Ponta, Regina Berretta, Pablo Moscato, 2019, Business and Consumer Analytics: New Ideas.

Scheduling and Production & Control: MA

Pablo Moscato, Carlos Cotta, Alexandre Mendes, 2004 .

PasMoQAP: A parallel asynchronous memetic algorithm for solving the Multi-Objective Quadratic Assignment Problem

Regina Berretta, Pablo Moscato, Claudio Sanhueza, 2017, 2017 IEEE Congress on Evolutionary Computation (CEC).

A Multi-objective Meta-Analytic Method for Customer Churn Prediction

Pablo Moscato, Natalie Jane de Vries, Mohammad Nazmul Haque, 2019, Business and Consumer Analytics: New Ideas.

A new method for mining disjunctive emerging patterns in high-dimensional datasets using hypergraphs

Pablo Moscato, Renato Vimieiro, P. Moscato, 2014, Inf. Syst..