Pablo Moscato

According to our database1, Pablo Moscato authored at least 95 papers between 1993 and 2020.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2020
Designing optimal combination therapy for personalised glioma treatment.
Memetic Comput., 2020

M-Link: a link clustering memetic algorithm for overlapping community detection.
Memetic Comput., 2020

Learning to extrapolate using continued fractions: Predicting the critical temperature of superconductor materials.
CoRR, 2020

Analytic Continued Fractions for Regression: A Memetic Algorithm Approach.
CoRR, 2020

The Unexpected Virtue of Problem Reductions or How to Solve Problems Being Lazy but Wise.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

Anomaly Detection via Mining Numerical Workflow Relations from Logs.
Proceedings of the International Symposium on Reliable Distributed Systems, 2020

Analytic Continued Fractions for Regression: Results on 352 datasets from the physical sciences.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020

2019
The Cohesion-Based Communities of Symptoms of the Largest Component of the DSM-IV Network.
J. Interconnect. Networks, 2019

An adaptive memetic algorithm for feature selection using proximity graphs.
Comput. Intell., 2019

AutoMR: Automatic Discovery and Cleansing of Numerical Metamorphic Relations.
Proceedings of the 2019 IEEE International Conference on Software Maintenance and Evolution, 2019

Automatic Discovery and Cleansing of Numerical Metamorphic Relations.
Proceedings of the 2019 IEEE International Conference on Software Maintenance and Evolution, 2019

A memetic algorithm approach to network alignment: mapping the classification of mental disorders of DSM-IV with ICD-10.
Proceedings of the Genetic and Evolutionary Computation Conference, 2019

A Computational Approach for Designing Combination Therapy in Combating Glioblastoma.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

A Memetic Algorithm for Symbolic Regression.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

Introducing Clustering with a Focus in Marketing and Consumer Analysis.
Proceedings of the Business and Consumer Analytics: New Ideas, 2019

Datasets for Business and Consumer Analytics.
Proceedings of the Business and Consumer Analytics: New Ideas, 2019

Consumer Behaviour and Marketing Fundamentals for Business Data Analytics.
Proceedings of the Business and Consumer Analytics: New Ideas, 2019

Clustering Consumers and Cluster-Specific Behavioural Models.
Proceedings of the Business and Consumer Analytics: New Ideas, 2019

Marketing Meets Data Science: Bridging the Gap.
Proceedings of the Business and Consumer Analytics: New Ideas, 2019

Memetic Algorithms for Business Analytics and Data Science: A Brief Survey.
Proceedings of the Business and Consumer Analytics: New Ideas, 2019

Business Network Analytics: From Graphs to Supernetworks.
Proceedings of the Business and Consumer Analytics: New Ideas, 2019

Using Network Alignment to Identify Conserved Consumer Behaviour Modelling Constructs.
Proceedings of the Business and Consumer Analytics: New Ideas, 2019

An Introduction to Proximity Graphs.
Proceedings of the Business and Consumer Analytics: New Ideas, 2019

Visualizing Products and Consumers: A Gestalt Theory Inspired Method.
Proceedings of the Business and Consumer Analytics: New Ideas, 2019

A Multi-objective Meta-Analytic Method for Customer Churn Prediction.
Proceedings of the Business and Consumer Analytics: New Ideas, 2019

From Ensemble Learning to Meta-Analytics: A Review on Trends in Business Applications.
Proceedings of the Business and Consumer Analytics: New Ideas, 2019

Overlapping Communities in Co-purchasing and Social Interaction Graphs: A Memetic Approach.
Proceedings of the Business and Consumer Analytics: New Ideas, 2019

2018
World's Best Universities and Personalized Rankings.
Proceedings of the Handbook of Heuristics., 2018

Memetic Algorithms.
Proceedings of the Handbook of Heuristics., 2018

Deep neural networks understand investors better.
Decis. Support Syst., 2018

mQAPViz: a divide-and-conquer multi-objective optimization algorithm to compute large data visualizations.
Proceedings of the Genetic and Evolutionary Computation Conference, 2018

Accelerating a multi-objective memetic algorithm for feature selection using hierarchical k-means indexes.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018

Symbolic Regression Modeling of Drug Responses.
Proceedings of the First International Conference on Artificial Intelligence for Industries, 2018

2017
Separating sets of strings by finding matching patterns is almost always hard.
Theor. Comput. Sci., 2017

Target Curricula via Selection of Minimum Feature Sets: a Case Study in Boolean Networks.
J. Mach. Learn. Res., 2017

A memetic algorithm for community detection by maximising the connected cohesion.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

A multi-objective approach for the (<i>α, β</i>)-<i>k</i>-feature set problem using memetic algorithms.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017

PasMoQAP: A parallel asynchronous memetic algorithm for solving the Multi-Objective Quadratic Assignment Problem.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

2016
A fast meta-heuristic approach for the (α, β)-k-feature set problem.
J. Heuristics, 2016

An integer programming model for protein structure prediction using the 3D-HP side chain model.
Discret. Appl. Math., 2016

Finding Patterns is Almost Always Hard.
CoRR, 2016

Legendre moments as high performance bone biomarkers: computational methods and GPU acceleration.
Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2016

Iteratively refining breast cancer intrinsic subtypes in the METABRIC dataset.
BioData Min., 2016

Proceedings in Adaptation, Learning and Optimization.
Proceedings of the Intelligent and Evolutionary Systems - The 20th Asia Pacific Symposium, 2016

Optimising weights for heterogeneous ensemble of classifiers with differential evolution.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

Relative Neighborhood Graphs Uncover the Dynamics of Social Media Engagement.
Proceedings of the Advanced Data Mining and Applications - 12th International Conference, 2016

2015
A Memetic Algorithm for the Quadratic Assignment Problem with parallel local search.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015

FSMEC: A Feature Selection Method based on the Minimum Spanning Tree and Evolutionary Computation.
Proceedings of the Thirteenth Australasian Data Mining Conference, 2015

On Ranking Nodes using kNN Graphs, Shortest-paths and GPUs.
Proceedings of the Thirteenth Australasian Data Mining Conference, 2015

The MST-kNN with Paracliques.
Proceedings of the Artificial Life and Computational Intelligence, 2015

2014
Efficient data partitioning for the GPU computation of moment functions.
J. Parallel Distributed Comput., 2014

Disclosed: An efficient depth-first, top-down algorithm for mining disjunctive closed itemsets in high-dimensional data.
Inf. Sci., 2014

A new method for mining disjunctive emerging patterns in high-dimensional datasets using hypergraphs.
Inf. Syst., 2014

Entropy-based High Performance Computation of Boolean SNP-SNP Interactions Using GPUs.
Proceedings of the International Work-Conference on Bioinformatics and Biomedical Engineering, 2014

Gauging Heterogeneity in Online Consumer Behaviour Data: A Proximity Graph Approach.
Proceedings of the 2014 IEEE Fourth International Conference on Big Data and Cloud Computing, 2014

Identifying Communities of Trust and Confidence in the Charity and Not-for-Profit Sector: A Memetic Algorithm Approach.
Proceedings of the 2014 IEEE Fourth International Conference on Big Data and Cloud Computing, 2014

Engagement in Motion: Exploring Short Term Dynamics in Page-Level Social Media Metrics.
Proceedings of the 2014 IEEE Fourth International Conference on Big Data and Cloud Computing, 2014

2012
Memetic Algorithms: The Untold Story.
Proceedings of the Handbook of Memetic Algorithms, 2012

Memetic Algorithms in Bioinformatics.
Proceedings of the Handbook of Memetic Algorithms, 2012

Mining disjunctive minimal generators with TitanicOR.
Expert Syst. Appl., 2012

kNN-Borůvka-GPU: A Fast and Scalable MST Construction from kNN Graphs on GPU.
Proceedings of the Computational Science and Its Applications - ICCSA 2012, 2012

A new greedy heuristic for 3DHP protein struture prediction with side chain.
Proceedings of the 2012 IEEE International Conference on Bioinformatics and Biomedicine Workshops, 2012

2011
Clustering Nodes in Large-Scale Biological Networks Using External Memory Algorithms.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2011

Evolving L-Systems as an Intelligent Design Approach to Find Classes of Difficult-to-Solve Traveling Salesman Problem Instances.
Proceedings of the Applications of Evolutionary Computation, 2011

2010
Graph algorithms for machine learning: a case-control study based on prostate cancer populations and high throughput transcriptomic data.
BMC Bioinform., 2010

The Gene Interaction Miner: a new tool for data mining contextual information for protein-protein interaction analysis.
Bioinform., 2010

2009
Novel Biomarkers for Prostate Cancer Revealed by (α, β)-k-Feature Sets.
Proceedings of the Foundations of Computational Intelligence, 2009

2008
An effective mutation-based measure for evaluating the suitability of parental sequences to undergo DNA shuffling experiments.
Proceedings of the IEEE Congress on Evolutionary Computation, 2008

2007
Combinatorial and Algorithmic Issues for Microarray Analysis.
Proceedings of the Handbook of Approximation Algorithms and Metaheuristics., 2007

Memetic Algorithms.
Proceedings of the Handbook of Approximation Algorithms and Metaheuristics., 2007

Benchmarking a memetic algorithm for ordering microarray data.
Biosyst., 2007

Selection of Discriminative Genes in Microarray Experiments Using Mathematical Programming.
J. Res. Pract. Inf. Technol., 2007

An Integrated QAP-Based Approach to Visualize Patterns of Gene Expression Similarity.
Proceedings of the Progress in Artificial Life, Third Australian Conference, 2007

2006
A parallel memetic algorithm applied to the total tardiness machine scheduling problem.
Proceedings of the 20th International Parallel and Distributed Processing Symposium (IPDPS 2006), 2006

An automatic graph layout procedure to visualize correlated data.
Proceedings of the Artificial Intelligence in Theory and Practice, 2006

Hierarchical Clustering, Languages and Cancer.
Proceedings of the Applications of Evolutionary Computing, 2006

2005
Evolutionary algorithms for scheduling a flowshop manufacturing cell with sequence dependent family setups.
Comput. Ind. Eng., 2005

Gene Ordering in Microarray Data Using Parallel Memetic Algorithms.
Proceedings of the 34th International Conference on Parallel Processing Workshops (ICPP 2005 Workshops), 2005

Genes Related with Alzheimer's Disease: A Comparison of Evolutionary Search, Statistical and Integer Programming Approaches.
Proceedings of the Applications of Evolutionary Computing, 2005

The Electronic Primaries: Predicting the U.S. Presidency Using Feature Selection with Safe Data Reduction.
Proceedings of the Computer Science 2005, 2005

Integer Programming Models and Algorithms for Molecular Classification of Cancer from Microarray Data.
Proceedings of the Computer Science 2005, 2005

2004
A New Memetic Algorithm for the Asymmetric Traveling Salesman Problem.
J. Heuristics, 2004

A proposal for direct-ordering gene expression data by self-organising maps.
Appl. Soft Comput., 2004

Evolutionary Search of Thresholds for Robust Feature Set Selection: Application to the Analysis of Microarray Data.
Proceedings of the Applications of Evolutionary Computing, 2004

2003
The <i>k</i>-F<sub>EATURE</sub> S<sub>ET</sub> problem is <i>W</i>[2]-complete.
J. Comput. Syst. Sci., 2003

A mixed evolutionary-statistical analysis of an algorithm's complexity.
Appl. Math. Lett., 2003

Una Introducción a los Algoritmos Memeticos.
Inteligencia Artif., 2003

Applying Memetic Algorithms to the Analysis of Microarray Data.
Proceedings of the Applications of Evolutionary Computing, 2003

A Gentle Introduction to Memetic Algorithms.
Proceedings of the Handbook of Metaheuristics, 2003

2002
Ordering Gene Expression Data Using One-dimensional Self-Organizing Maps.
Proceedings of the I Brazilian Workshop on Bioinformatics, 2002

Inferring Phylogenetic Trees Using Evolutionary Algorithms.
Proceedings of the Parallel Problem Solving from Nature, 2002

Population Studies for the Gate Matrix Layout Problem.
Proceedings of the Advances in Artificial Intelligence, 2002

2001
A memetic algorithm for the total tardiness single machine scheduling problem.
Eur. J. Oper. Res., 2001

1998
On the Performance of Heuristics on Finite and Infinite Fractal Instances of the Euclidean Traveling Salesman Problem.
INFORMS J. Comput., 1998

1993
An introduction to population approaches for optimization and hierarchical objective functions: A discussion on the role of tabu search.
Ann. Oper. Res., 1993


  Loading...