Alex Alves Freitas

According to our database1, Alex Alves Freitas authored at least 211 papers between 1996 and 2021.

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Bibliography

2021
Is p-value $<$ 0.05 enough? A study on the statistical evaluation of classifiers.
Knowl. Eng. Rev., 2021

2020
An evolutionary algorithm for automated machine learning focusing on classifier ensembles: An improved algorithm and extended results.
Theor. Comput. Sci., 2020

An Extensive Experimental Evaluation of Automated Machine Learning Methods for Recommending Classification Algorithms (Extended Version).
CoRR, 2020

Using deep learning to associate human genes with age-related diseases.
Bioinform., 2020

Investigating the role of Simpson's paradox in the analysis of top-ranked features in high-dimensional bioinformatics datasets.
Briefings Bioinform., 2020

Comparing enrichment analysis and machine learning for identifying gene properties that discriminate between gene classes.
Briefings Bioinform., 2020

Prioritizing positive feature values: a new hierarchical feature selection method.
Appl. Intell., 2020

A New Random Forest Method for Longitudinal Data Classification Using a Lexicographic Bi-Objective Approach.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

A robust experimental evaluation of automated multi-label classification methods.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

Adapting Random Forests to Cope with Heavily Censored Datasets in Survival Analysis.
Proceedings of the 28th European Symposium on Artificial Neural Networks, 2020

An Evolutionary Algorithm for Learning Interpretable Ensembles of Classifiers.
Proceedings of the Intelligent Systems - 9th Brazilian Conference, 2020

2019
Stochastic model genetic programming: Deriving pricing equations for rainfall weather derivatives.
Swarm Evol. Comput., 2019

Monotonicity Detection and Enforcement in Longitudinal Classification.
Proceedings of the Artificial Intelligence XXXVI, 2019

Analysing the Overfit of the Auto-sklearn Automated Machine Learning Tool.
Proceedings of the Machine Learning, Optimization, and Data Science, 2019

Automated Machine Learning for Studying the Trade-Off Between Predictive Accuracy and Interpretability.
Proceedings of the Machine Learning and Knowledge Extraction, 2019

2018
Multi-objective genetic algorithms in the study of the genetic code's adaptability.
Inf. Sci., 2018

Multi-label classification search space in the MEKA software.
CoRR, 2018

A new approach for interpreting Random Forest models and its application to the biology of ageing.
Bioinform., 2018

Decomposition genetic programming: An extensive evaluation on rainfall prediction in the context of weather derivatives.
Appl. Soft Comput., 2018

An empirical evaluation of hierarchical feature selection methods for classification in bioinformatics datasets with gene ontology-based features.
Artif. Intell. Rev., 2018

A Novel Genetic Algorithm for Feature Selection in Hierarchical Feature Spaces.
Proceedings of the 2018 SIAM International Conference on Data Mining, 2018

Automated Selection and Configuration of Multi-Label Classification Algorithms with Grammar-Based Genetic Programming.
Proceedings of the Parallel Problem Solving from Nature - PPSN XV, 2018

A Survey of Genetic Algorithms for Multi-Label Classification.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

Meta-Learning for Recommending Metaheuristics for the MaxSAT Problem.
Proceedings of the 7th Brazilian Conference on Intelligent Systems, 2018

A Novel Evolutionary Algorithm for Automated Machine Learning Focusing on Classifier Ensembles.
Proceedings of the 7th Brazilian Conference on Intelligent Systems, 2018

2017
A revision and analysis of the comprehensiveness of the main longitudinal studies of human aging for data mining research.
Wiley Interdiscip. Rev. Data Min. Knowl. Discov., 2017

Instance-based classification with Ant Colony Optimization.
Intell. Data Anal., 2017

An extensive evaluation of seven machine learning methods for rainfall prediction in weather derivatives.
Expert Syst. Appl., 2017

Feature Selection for the Classification of Longitudinal Human Ageing Data.
Proceedings of the 2017 IEEE International Conference on Data Mining Workshops, 2017

Towards a method for automatically selecting and configuring multi-label classification algorithms.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017

Pricing Rainfall Based Futures Using Genetic Programming.
Proceedings of the Applications of Evolutionary Computation - 20th European Conference, 2017

2016
An Extensive Empirical Comparison of Probabilistic Hierarchical Classifiers in Datasets of Ageing-Related Genes.
IEEE ACM Trans. Comput. Biol. Bioinform., 2016

A novel applicability domain technique for mapping predictive reliability across the chemical space of a QSAR: reliability-density neighbourhood.
J. Cheminformatics, 2016

Improving the Interpretability of Classification Rules Discovered by an Ant Colony Algorithm: Extended Results.
Evol. Comput., 2016

A New Hierarchical Redundancy Eliminated Tree Augmented Naive Bayes Classifier for Coping with Gene Ontology-based Features.
CoRR, 2016

New KEGG pathway-based interpretable features for classifying ageing-related mouse proteins.
Bioinform., 2016

A Genetic Decomposition Algorithm for Predicting Rainfall within Financial Weather Derivatives.
Proceedings of the 2016 on Genetic and Evolutionary Computation Conference, Denver, CO, USA, July 20, 2016

Feature engineering for improving financial derivatives-based rainfall prediction.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

2015
Automatic Design of Decision-Tree Induction Algorithms
Springer Briefs in Computer Science, Springer, ISBN: 978-3-319-14231-9, 2015

Predicting the Pro-Longevity or Anti-Longevity Effect of Model Organism Genes with New Hierarchical Feature Selection Methods.
IEEE ACM Trans. Comput. Biol. Bioinform., 2015

Predicting volume of distribution with decision tree-based regression methods using predicted tissue: plasma partition coefficients.
J. Cheminformatics, 2015

Ant colony algorithms for constructing Bayesian multi-net classifiers.
Intell. Data Anal., 2015

An Extensive Evaluation of Decision Tree-Based Hierarchical Multilabel Classification Methods and Performance Measures.
Comput. Intell., 2015

Predicting Rainfall in the Context of Rainfall Derivatives Using Genetic Programming.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2015

A Novel Extended Hierarchical Dependence Network Method Based on Non-hierarchical Predictive Classes and Applications to Ageing-Related Data.
Proceedings of the 27th IEEE International Conference on Tools with Artificial Intelligence, 2015

A Lexicographic Multi-Objective Genetic Algorithm for Multi-Label Correlation Based Feature Selection.
Proceedings of the Genetic and Evolutionary Computation Conference, 2015

Simpler is Better: a Novel Genetic Algorithm to Induce Compact Multi-label Chain Classifiers.
Proceedings of the Genetic and Evolutionary Computation Conference, 2015

A new genetic algorithm for multi-label correlation-based feature selection.
Proceedings of the 23rd European Symposium on Artificial Neural Networks, 2015

A hierarchical neural network for predicting protein functions.
Proceedings of the 15th IEEE International Conference on Bioinformatics and Bioengineering, 2015

Two methods for constructing a gene ontology-based feature network for a Bayesian network classifier and applications to datasets of aging-related genes.
Proceedings of the 6th ACM Conference on Bioinformatics, 2015

2014
Evolutionary Design of Decision-Tree Algorithms Tailored to Microarray Gene Expression Data Sets.
IEEE Trans. Evol. Comput., 2014

Classification with cluster-based Bayesian multi-nets using Ant Colony Optimisation.
Swarm Evol. Comput., 2014

ABC-Miner+: constructing Markov blanket classifiers with ant colony algorithms.
Memetic Comput., 2014

Exploring Attribute Selection in Hierarchical Classification.
J. Inf. Data Manag., 2014

Evolving decision trees with beam search-based initialization and lexicographic multi-objective evaluation.
Inf. Sci., 2014

Contrasting meta-learning and hyper-heuristic research: the role of evolutionary algorithms.
Genet. Program. Evolvable Mach., 2014

Distinct Chains for Different Instances: An Effective Strategy for Multi-label Classifier Chains.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014

Evolving relational hierarchical classification rules for predicting gene ontology-based protein functions.
Proceedings of the Genetic and Evolutionary Computation Conference, 2014

An Efficient Algorithm for Hierarchical Classification of Protein and Gene Functions.
Proceedings of the 25th International Workshop on Database and Expert Systems Applications, 2014

Dependency network methods for Hierarchical Multi-label Classification of gene functions.
Proceedings of the 2014 IEEE Symposium on Computational Intelligence and Data Mining, 2014

Extending multi-label feature selection with KEGG pathway information for microarray data analysis.
Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2014

2013
A New Sequential Covering Strategy for Inducing Classification Rules With Ant Colony Algorithms.
IEEE Trans. Evol. Comput., 2013

Learning Bayesian network classifiers using ant colony optimization.
Swarm Intell., 2013

Comprehensible classification models: a position paper.
SIGKDD Explor., 2013

Pre-processing Feature Selection for Improved C&RT Models for Oral Absorption.
J. Chem. Inf. Model., 2013

Coping with Unbalanced Class Data Sets in Oral Absorption Models.
J. Chem. Inf. Model., 2013

Automatic Design of Decision-Tree Algorithms with Evolutionary Algorithms.
Evol. Comput., 2013

Utilizing multiple pheromones in an ant-based algorithm for continuous-attribute classification rule discovery.
Appl. Soft Comput., 2013

Two Extensions to Multi-label Correlation-Based Feature Selection: A Case Study in Bioinformatics.
Proceedings of the IEEE International Conference on Systems, 2013

Probabilistic Clustering for Hierarchical Multi-Label Classification of Protein Functions.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013

Extending the ABC-Miner Bayesian Classification Algorithm.
Proceedings of the Nature Inspired Cooperative Strategies for Optimization (NICSO 2013), 2013

A Genetic Algorithm for Optimizing the Label Ordering in Multi-label Classifier Chains.
Proceedings of the 25th IEEE International Conference on Tools with Artificial Intelligence, 2013

Evaluating the use of different measure functions in the predictive quality of ABC-miner.
Proceedings of the Genetic and Evolutionary Computation Conference, 2013

Improving the interpretability of classification rules discovered by an ant colony algorithm.
Proceedings of the Genetic and Evolutionary Computation Conference, 2013

ACO-Based Bayesian Network Ensembles for the Hierarchical Classification of Ageing-Related Proteins.
Proceedings of the Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics, 2013

An Extended Local Hierarchical Classifier for Prediction of Protein and Gene Functions.
Proceedings of the Data Warehousing and Knowledge Discovery, 2013

Clustering-based Bayesian Multi-net Classifier construction with Ant Colony Optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2013

Investigating the impact of various classification quality measures in the predictive accuracy of ABC-Miner.
Proceedings of the IEEE Congress on Evolutionary Computation, 2013

A grammatical evolution algorithm for generation of Hierarchical Multi-Label Classification rules.
Proceedings of the IEEE Congress on Evolutionary Computation, 2013

Prediction of the pro-longevity or anti-longevity effect of Caenorhabditis Elegans genes based on Bayesian classification methods.
Proceedings of the 2013 IEEE International Conference on Bioinformatics and Biomedicine, 2013

2012
A Survey of Evolutionary Algorithms for Decision-Tree Induction.
IEEE Trans. Syst. Man Cybern. Part C, 2012

Improving Local Per Level Hierarchical Classification.
J. Inf. Data Manag., 2012

Inducing decision trees with an ant colony optimization algorithm.
Appl. Soft Comput., 2012

A Multi-Label Correlation-Based Feature Selection Method for the Classification of Neuroblastoma Microarray Data.
Proceedings of the Advances in Data Mining, 12th Industrial Conference, 2012

A hyper-heuristic evolutionary algorithm for automatically designing decision-tree algorithms.
Proceedings of the Genetic and Evolutionary Computation Conference, 2012

Evolving recursive programs using non-recursive scaffolding.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012

AutoClustering: An estimation of distribution algorithm for the automatic generation of clustering algorithms.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012

ABC-Miner: An Ant-Based Bayesian Classification Algorithm.
Proceedings of the Swarm Intelligence - 8th International Conference, 2012

Improving the cAnt-MinerPB Classification Algorithm.
Proceedings of the Swarm Intelligence - 8th International Conference, 2012

2011
Multiple pheromone types and other extensions to the Ant-Miner classification rule discovery algorithm.
Swarm Intell., 2011

A genetic programming method for protein motif discovery and protein classification.
Soft Comput., 2011

A hybrid data mining metaheuristic for the <i>p</i>-median problem.
Stat. Anal. Data Min., 2011

Improving Lazy Attribute Selection.
J. Inf. Data Manag., 2011

Selecting different protein representations and classification algorithms in hierarchical protein function prediction.
Intell. Data Anal., 2011

Lazy attribute selection: Choosing attributes at classification time.
Intell. Data Anal., 2011

Adapting non-hierarchical multilabel classification methods for hierarchical multilabel classification.
Intell. Data Anal., 2011

A survey of hierarchical classification across different application domains.
Data Min. Knowl. Discov., 2011

A hierarchical approach to represent relational data applied to clustering tasks.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

Towards the automatic design of decision tree induction algorithms.
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

2010
Creating Rule Ensembles from Automatically-Evolved Rule Induction Algorithms.
Proceedings of the Advances in Machine Learning I: Dedicated to the Memory of Professor Ryszard S. Michalski, 2010

A Review of Evolutionary Algorithms for Data Mining.
Proceedings of the Data Mining and Knowledge Discovery Handbook, 2nd ed., 2010

On the Importance of Comprehensible Classification Models for Protein Function Prediction.
IEEE ACM Trans. Comput. Biol. Bioinform., 2010

A hierarchical multi-label classification ant colony algorithm for protein function prediction.
Memetic Comput., 2010

Hierarchical classification of G-Protein-Coupled Receptors with data-driven selection of attributes and classifiers.
Int. J. Data Min. Bioinform., 2010

Learning hybridization strategies in evolutionary algorithms.
Intell. Data Anal., 2010

Evolutionary model tree induction.
Proceedings of the 2010 ACM Symposium on Applied Computing (SAC), 2010

Web log data clustering for a multi-agent recommendation system.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2010

An estimation of distribution algorithm for the automatic generation of clustering algorithms.
Proceedings of the Genetic and Evolutionary Computation Conference, 2010

Knowledge discovery with Artificial Immune Systems for hierarchical multi-label classification of protein functions.
Proceedings of the FUZZ-IEEE 2010, 2010

2009
An Empirical Evaluation of the Effectiveness of Different Types of Predictor Attributes in Protein Function Prediction.
Proceedings of the Foundations of Computational Intelligence, 2009

A Tutorial on Multi-label Classification Techniques.
Proceedings of the Foundations of Computational Intelligence, 2009

Genetic Programming for Automatically Constructing Data Mining Algorithms.
Proceedings of the Encyclopedia of Data Warehousing and Mining, Second Edition (4 Volumes), 2009

A Survey of Evolutionary Algorithms for Clustering.
IEEE Trans. Syst. Man Cybern. Part C, 2009

Hierarchical classification of protein function with ensembles of rules and particle swarm optimisation.
Soft Comput., 2009

Evolving rule induction algorithms with multi-objective grammar-based genetic programming.
Knowl. Inf. Syst., 2009

An Artificial Immune System for Clustering Amino Acids in the Context of Protein Function Classification.
J. Math. Model. Algorithms, 2009

Lexicographic multi-objective evolutionary induction of decision trees.
Int. J. Bio Inspired Comput., 2009

Automatically evolving rule induction algorithms tailored to the prediction of postsynaptic activity in proteins.
Intell. Data Anal., 2009

Novel Top-Down Approaches for Hierarchical Classification and Their Application to Automatic Music Genre Classification.
Proceedings of the IEEE International Conference on Systems, 2009

A Hybrid Data Mining Metaheuristic for the p-Median Problem.
Proceedings of the SIAM International Conference on Data Mining, 2009

LEGAL-tree: a lexicographic multi-objective genetic algorithm for decision tree induction.
Proceedings of the 2009 ACM Symposium on Applied Computing (SAC), 2009

MAHATMA: A Genetic Programming-Based Tool for Protein Classification.
Proceedings of the Ninth International Conference on Intelligent Systems Design and Applications, 2009

A Global-Model Naive Bayes Approach to the Hierarchical Prediction of Protein Functions.
Proceedings of the ICDM 2009, 2009

A Hybrid Evolutionary Approach for the Protein Classification Problem.
Proceedings of the Computational Collective Intelligence. Semantic Web, 2009

A Hierarchical Classification Ant Colony Algorithm for Predicting Gene Ontology Terms.
Proceedings of the Evolutionary Computation, 2009

Handling continuous attributes in Ant Colony Classification algorithms.
Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2009

2008
Discovering New Rule Induction Algorithms with Grammar-based Genetic Programming.
Proceedings of the Soft Computing for Knowledge Discovery and Data Mining, 2008

A Review of evolutionary Algorithms for Data Mining.
Proceedings of the Soft Computing for Knowledge Discovery and Data Mining, 2008

Artificial Immune Systems in Bioinformatics.
Proceedings of the Computational Intelligence in Biomedicine and Bioinformatics, 2008

Fuzzy rule induction and artificial immune systems in female breast cancer familiarity profiling.
Int. J. Hybrid Intell. Syst., 2008

Message-passing algorithms for the prediction of protein domain interactions from protein-protein interaction data.
Bioinform., 2008

Optimizing amino acid groupings for GPCR classification.
Bioinform., 2008

AISIID: An artificial immune system for interesting information discovery on the web.
Appl. Soft Comput., 2008

Top-Down Hierarchical Ensembles of Classifiers for Predicting G-Protein-Coupled-Receptor Functions.
Proceedings of the Advances in Bioinformatics and Computational Biology, 2008

Multi-label Hierarchical Classification of Protein Functions with Artificial Immune Systems.
Proceedings of the Advances in Bioinformatics and Computational Biology, 2008

An Artificial Immune System for Evolving Amino Acid Clusters Tailored to Protein Function Prediction.
Proceedings of the Artificial Immune Systems, 7th International Conference, 2008

Protein Interaction Inference Using Particle Swarm Optimization Algorithm.
Proceedings of the Evolutionary Computation, 2008

Improving the Performance of Hierarchical Classification with Swarm Intelligence.
Proceedings of the Evolutionary Computation, 2008

cAnt-Miner: An Ant Colony Classification Algorithm to Cope with Continuous Attributes.
Proceedings of the Ant Colony Optimization and Swarm Intelligence, 2008

2007
Revisiting the Foundations of Artificial Immune Systems for Data Mining.
IEEE Trans. Evol. Comput., 2007

On the hierarchical classification of G protein-coupled receptors.
Bioinform., 2007

Comparing Several Approaches for Hierarchical Classification of Proteins with Decision Trees.
Proceedings of the Advances in Bioinformatics and Computational Biology, 2007

EDACluster: An Evolucionary Density and Grid-Based Clustering Algorithm.
Proceedings of the XXII Simpósio Brasileiro de Banco de Dados, 2007

EDACluster: an Evolutionary Density and Grid-Based Clustering Algorithm.
Proceedings of the Seventh International Conference on Intelligent Systems Design and Applications, 2007

Induction of fuzzy rules with artificial immune systems in acgh based er status breast cancer characterization.
Proceedings of the Genetic and Evolutionary Computation Conference, 2007

A hybrid PSO/ACO algorithm for classification.
Proceedings of the Genetic and Evolutionary Computation Conference, 2007

Particle swarm and bayesian networks applied to attribute selection for protein functional classification.
Proceedings of the Genetic and Evolutionary Computation Conference, 2007

WAIRS: improving classification accuracy by weighting attributes in the AIRS classifier.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007

2006
Discovering Surprising Instances of Simpson's Paradox in Hierarchical Multidimensional Data.
Int. J. Data Warehous. Min., 2006

Improving the Interpretability of Classification Rules in Sparse Bioinformatics Datasets.
Proceedings of the Research and Development in Intelligent Systems XXIII, 2006

Estimating Photometric Redshifts Using Genetic Algorithms.
Proceedings of the Applications and Innovations in Intelligent Systems XIV, 2006

The Integration of Heterogeneous Biological Data using Bayesian Networks.
Proceedings of the Applications and Innovations in Intelligent Systems XIV, 2006

A new version of the ant-miner algorithm discovering unordered rule sets.
Proceedings of the Genetic and Evolutionary Computation Conference, 2006

Estimating photometric redshifts with genetic algorithms.
Proceedings of the Genetic and Evolutionary Computation Conference, 2006

A new discrete particle swarm algorithm applied to attribute selection in a bioinformatics data set.
Proceedings of the Genetic and Evolutionary Computation Conference, 2006

A new ant colony algorithm for multi-label classification with applications in bioinfomatics.
Proceedings of the Genetic and Evolutionary Computation Conference, 2006

Automatically Evolving Rule Induction Algorithms.
Proceedings of the Machine Learning: ECML 2006, 2006

2005
Evaluating Six Candidate Solutions for the Small-Disjunct Problem and Choosing the Best Solution via Meta-Learning.
Artif. Intell. Rev., 2005

A hybrid particle swarm/ant colony algorithm for the classification of hierarchical biological data.
Proceedings of the 2005 IEEE Swarm Intelligence Symposium, 2005

Evaluating the Correlation Between Objective Rule Interestingness Measures and Real Human Interest.
Proceedings of the Knowledge Discovery in Databases: PKDD 2005, 2005

An Evolutionary Approach for Motif Discovery and Transmembrane Protein Classification.
Proceedings of the Applications of Evolutionary Computing, 2005

Predicting post-synaptic activity in proteins with data mining.
Proceedings of the ECCB/JBI'05 Proceedings, Fourth European Conference on Computational Biology/Sixth Meeting of the Spanish Bioinformatics Network (Jornadas de BioInformática), Palacio de Congresos, Madrid, Spain, September 28, 2005

Using Genetic Algorithms to Mine Interesting Dependence Modeling Rules.
Proceedings of the IASTED International Conference on Databases and Applications, 2005

A New Classification-Rule Pruning Procedure for an Ant Colony Algorithm.
Proceedings of the Artificial Evolution, 2005

Evolutionary Algorithms for Data Mining.
Proceedings of the Data Mining and Knowledge Discovery Handbook., 2005

Classification-Rule Discovery with an Ant Colony Algorithm.
Proceedings of the Encyclopedia of Information Science and Technology (5 Volumes), 2005

2004
A critical review of multi-objective optimization in data mining: a position paper.
SIGKDD Explor., 2004

A Genetic Algorithm for Solving a Capacitated <i>p</i>-Median Problem.
Numer. Algorithms, 2004

A hybrid decision tree/genetic algorithm method for data mining.
Inf. Sci., 2004

Discovering interesting knowledge from a science and technology database with a genetic algorithm.
Appl. Soft Comput., 2004

A constrained-syntax genetic programming system for discovering classification rules: application to medical data sets.
Artif. Intell. Medicine, 2004

Web Page Classification with an Ant Colony Algorithm.
Proceedings of the Parallel Problem Solving from Nature, 2004

An Artificial Immune System for Fuzzy-Rule Induction in Data Mining.
Proceedings of the Parallel Problem Solving from Nature, 2004

Automatic Text Summarization with Genetic Algorithm-Based Attribute Selection.
Proceedings of the Advances in Artificial Intelligence, 2004

2003
Guest editorial data mining and knowledge discovery with evolutionary algorithms.
IEEE Trans. Evol. Comput., 2003

A Danger Theory Inspired Approach to Web Mining.
Proceedings of the Artificial Immune Systems, Second International Conference, 2003

Revisiting the Foundations of Artificial Immune Systems: A Problem-Oriented Perspective.
Proceedings of the Artificial Immune Systems, Second International Conference, 2003

Genetic Programming for Attribute Construction in Data Mining.
Proceedings of the Genetic Programming, 6th European Conference, EuroGP 2003, 2003

An Innovative Application of a Constrained-Syntax Genetic Programming System to the Problem of Predicting Survival of Patients.
Proceedings of the Genetic Programming, 6th European Conference, EuroGP 2003, 2003

AISEC: an artificial immune system for e-mail classification.
Proceedings of the IEEE Congress on Evolutionary Computation, CEC 2003, 8, 2003

2002
Data mining with an ant colony optimization algorithm.
IEEE Trans. Evol. Comput., 2002

A genetic-algorithm for discovering small-disjunct rules in data mining.
Appl. Soft Comput., 2002

Devising adaptive migration policies for cooperative distributed genetic algorithms.
Proceedings of the IEEE International Conference on Systems, Man and Cybernetics: Bridging the Digital Divide, Yasmine Hammamet, Tunisia, October 6-9, 2002, 2002

Mining Comprehensible Rules from Data with an Ant Colony Algorithm.
Proceedings of the Advances in Artificial Intelligence, 2002

Attribute Selection with a Multi-objective Genetic Algorithm.
Proceedings of the Advances in Artificial Intelligence, 2002

Automatic Text Summarization Using a Machine Learning Approach.
Proceedings of the Advances in Artificial Intelligence, 2002

A Genetic Algorithm For Discovering Interesting Fuzzy Prediction Rules: Applications To Science And Technology Data.
Proceedings of the GECCO 2002: Proceedings of the Genetic and Evolutionary Computation Conference, 2002

Genetic Programming For Attribute Construction In Data Mining.
Proceedings of the GECCO 2002: Proceedings of the Genetic and Evolutionary Computation Conference, 2002

Constructing X-of-n Attributes With A Genetic Algorithm.
Proceedings of the GECCO 2002: Proceedings of the Genetic and Evolutionary Computation Conference, 2002

A Genetic Algorithm With Sequential Niching For Discovering Small-disjunct Rules.
Proceedings of the GECCO 2002: Proceedings of the Genetic and Evolutionary Computation Conference, 2002

2001
Book Review: Data Mining Using Grammar-Based Genetic Programming and Applications.
Genet. Program. Evolvable Mach., 2001

Understanding the Crucial Role of Attribute Interaction in Data Mining.
Artif. Intell. Rev., 2001

Incorporating Deviation-Detection Functionality into the OLAP Paradigm.
Proceedings of the XVI Simpósio Brasileiro de Banco de Dados, 2001

Discovering Fuzzy Classification Rules with Genetic Programming and Co-evolution.
Proceedings of the Principles of Data Mining and Knowledge Discovery, 2001

2000
Understanding the Crucial Differences Between Classification and Discovery of Association Rules - A Position Paper.
SIGKDD Explor., 2000

Reports on the AAAI 1999 Workshop Program.
AI Mag., 2000

Generating Text Summaries through the Relative Importance of Topics.
Proceedings of the Advances in Artificial Intelligence, 2000

A Genetic Algorithm-Based Solution for the Problem of Small Disjuncts.
Proceedings of the Principles of Data Mining and Knowledge Discovery, 2000

Comparing a Genetic Algorithm with a Rule Induction Algorithm in the Data Mining Task of Dependence Modeling.
Proceedings of the Genetic and Evolutionary Computation Conference (GECCO '00), 2000

A hybrid decision tree/genetic algorithm for coping with the problem of small disjuncts in data mining.
Proceedings of the Genetic and Evolutionary Computation Conference (GECCO '00), 2000

1999
On rule interestingness measures.
Knowl. Based Syst., 1999

Interfacing knowledge discovery algorithms to large database management systems.
Inf. Softw. Technol., 1999

A Fuzzy Beam-Search Rule Induction Algorithm.
Proceedings of the Principles of Data Mining and Knowledge Discovery, 1999

Discovering comprehensible classification rules by using Genetic Programming: a case study in a medical domain.
Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 1999), 1999

1998
Mining very large databases with parallel processing.
Advances in Database Systems 9, Kluwer, ISBN: 978-0-7923-8048-1, 1998

Scalable, High-Performance Data Mining with Parallel Processing.
Proceedings of the Principles of Data Mining and Knowledge Discovery, 1998

On Objective Measures of Rule Surprisingness.
Proceedings of the Principles of Data Mining and Knowledge Discovery, 1998

1997
The Pronciple of Transformation between Efficiency and Effectiveness: Towards a Fair Evaluation of the Cost-Effectiveness of KDD Techniques.
Proceedings of the Principles of Data Mining and Knowledge Discovery, 1997

Towards Large-Scale Knowledge Discovery in Databases (KDD) by Exploiting Parallelism in Generic KDD Primitives.
Proceedings of the Next Generation Information Technologies and Systems (NGITS '97), Third International Workshop, Neve Ilan, Israel, June 30, 1997

1996
Parallel Data Mining for Very Large Relational Databases.
Proceedings of the High-Performance Computing and Networking, 1996

Speeding up Knowledge Discovery in Large Relational Databases by Means of a New Discretization Algorithm.
Proceedings of the Advances in Databases, 14th British National Conferenc on Databases, 1996


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