Pablo Moscato
Orcid: 0000-0003-2570-5966
According to our database1,
Pablo Moscato
authored at least 105 papers
between 1993 and 2024.
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Bibliography
2024
2023
Semi-supervised and unsupervised anomaly detection by mining numerical workflow relations from system logs.
Autom. Softw. Eng., 2023
Learning to Extrapolate Using Continued Fractions: Predicting the Critical Temperature of Superconductor Materials.
Algorithms, 2023
Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023
Proceedings of the Genetic and Evolutionary Computation Conference, 2023
2022
Editorial: Memetic Computing: Accelerating optimization heuristics with problem-dependent local search methods.
Swarm Evol. Comput., 2022
Multiple regression techniques for modelling dates of first performances of Shakespeare-era plays.
Expert Syst. Appl., 2022
Joint Optimization of Topology and Hyperparameters of Hybrid DNNs for Sentence Classification.
Proceedings of the IEEE Congress on Evolutionary Computation, 2022
2021
Expert Syst. Appl., 2021
Multiple regression techniques for modeling dates of first performances of Shakespeare-era plays.
CoRR, 2021
Proceedings of the IEEE Congress on Evolutionary Computation, 2021
2020
Memetic Comput., 2020
Memetic Comput., 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
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
Comput. Intell., 2019
Proceedings of the 2019 IEEE International Conference on Software Maintenance and Evolution, 2019
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
Proceedings of the IEEE Congress on Evolutionary Computation, 2019
Proceedings of the Business and Consumer Analytics: New Ideas, 2019
Proceedings of the Business and Consumer Analytics: New Ideas, 2019
Proceedings of the Business and Consumer Analytics: New Ideas, 2019
Proceedings of the Business and Consumer Analytics: New Ideas, 2019
Proceedings of the Business and Consumer Analytics: New Ideas, 2019
Proceedings of the Business and Consumer Analytics: New Ideas, 2019
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
Proceedings of the Business and Consumer Analytics: New Ideas, 2019
Proceedings of the Business and Consumer Analytics: New Ideas, 2019
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
Proceedings of the Handbook of Heuristics., 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
Proceedings of the First International Conference on Artificial Intelligence for Industries, 2018
2017
Theor. Comput. Sci., 2017
Target Curricula via Selection of Minimum Feature Sets: a Case Study in Boolean Networks.
J. Mach. Learn. Res., 2017
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
J. Heuristics, 2016
An integer programming model for protein structure prediction using the 3D-HP side chain model.
Discret. Appl. Math., 2016
Legendre moments as high performance bone biomarkers: computational methods and GPU acceleration.
Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2016
BioData Min., 2016
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
Proceedings of the Advanced Data Mining and Applications - 12th International Conference, 2016
2015
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
Proceedings of the Thirteenth Australasian Data Mining Conference, 2015
Proceedings of the Artificial Life and Computational Intelligence, 2015
2014
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
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
Proceedings of the Handbook of Memetic Algorithms, 2012
Proceedings of the Handbook of Memetic Algorithms, 2012
Proceedings of the Computational Science and Its Applications - ICCSA 2012, 2012
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
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
Proceedings of the Handbook of Approximation Algorithms and Metaheuristics., 2007
Proceedings of the Handbook of Approximation Algorithms and Metaheuristics., 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
Proceedings of the Artificial Intelligence in Theory and Practice, 2006
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
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
J. Heuristics, 2004
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
J. Comput. Syst. Sci., 2003
Appl. Math. Lett., 2003
Proceedings of the Applications of Evolutionary Computing, 2003
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
Proceedings of the Parallel Problem Solving from Nature, 2002
Proceedings of the Advances in Artificial Intelligence, 2002
2001
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