Alex Alves Freitas

发表

Improving the Interpretability of Classification Rules Discovered by an Ant Colony Algorithm: Extended Results

Alex Alves Freitas, Fernando E. B. Otero, 2016, Evolutionary Computation.

A New Sequential Covering Strategy for Inducing Classification Rules With Ant Colony Algorithms

Alex Alves Freitas, Colin G. Johnson, Fernando E. B. Otero, 2013, IEEE Transactions on Evolutionary Computation.

Multiple pheromone types and other extensions to the Ant-Miner classification rule discovery algorithm

Alex Alves Freitas, Khalid M. Salama, Ashraf M. Abdelbar, 2011, Swarm Intelligence.

Inducing decision trees with an ant colony optimization algorithm

Alex Alves Freitas, Colin G. Johnson, Fernando E. B. Otero, 2012, Appl. Soft Comput..

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

Alex Alves Freitas, Andreas Bender, Natália Aniceto, 2016, Journal of Cheminformatics.

A genetic-algorithm for discovering small-disjunct rules in data mining

Deborah R. Carvalho, Alex Alves Freitas, A. Freitas, 2002, Appl. Soft Comput..

Feature engineering for improving financial derivatives-based rainfall prediction

Alex Alves Freitas, Michael Kampouridis, Sam Cramer, 2016, 2016 IEEE Congress on Evolutionary Computation (CEC).

A New Hierarchical Redundancy Eliminated Tree Augmented Naive Bayes Classifier for Coping with Gene Ontology-based Features pdf

Alex Alves Freitas, Cen Wan, 2016, ICML 2016.

Automated Machine Learning for Studying the Trade-Off Between Predictive Accuracy and Interpretability

Alex Alves Freitas, A. Freitas, 2019, CD-MAKE.

Discovering New Rule Induction Algorithms with Grammar-based Genetic Programming

Alex Alves Freitas, Gisele L. Pappa, A. Freitas, 2008, Soft Computing for Knowledge Discovery and Data Mining.

Understanding the crucial differences between classification and discovery of association rules: a position paper

Alex Alves Freitas, A. Freitas, 2000, SKDD.

A new ant colony algorithm for multi-label classification with applications in bioinfomatics

Alex Alves Freitas, Allen Chan, A. Freitas, 2006, GECCO.

A Novel Evolutionary Algorithm for Automated Machine Learning Focusing on Classifier Ensembles

Alex Alves Freitas, João Carlos Xavier, Teresa Bernarda Ludermir, 2018, 2018 7th Brazilian Conference on Intelligent Systems (BRACIS).

A genetic programming method for protein motif discovery and protein classification

Alex Alves Freitas, Heitor Silvério Lopes, Denise Fukumi Tsunoda, 2011, Soft Comput..

A Review of evolutionary Algorithms for Data Mining

Alex Alves Freitas, 2008, Soft Computing for Knowledge Discovery and Data Mining.

Evolutionary model tree induction

Alex Alves Freitas, André Carlos Ponce de Leon Ferreira de Carvalho, Rodrigo C. Barros, 2010, SAC '10.

A Genetic Decomposition Algorithm for Predicting Rainfall within Financial Weather Derivatives

Alex Alves Freitas, Michael Kampouridis, Sam Cramer, 2016, GECCO.

Pre-processing Feature Selection for Improved C&RT Models for Oral Absorption

Alex Alves Freitas, Taravat Ghafourian, Danielle Newby, 2013, J. Chem. Inf. Model..

Mining Comprehensible Rules from Data with an Ant Colony Algorithm

Alex Alves Freitas, Rafael S. Parpinelli, Heitor Silvério Lopes, 2002, SBIA.

An evolutionary algorithm for automated machine learning focusing on classifier ensembles: An improved algorithm and extended results

Alex Alves Freitas, Teresa Bernarda Ludermir, João Carlos Xavier Junior, 2020, Theor. Comput. Sci..

Classification with cluster-based Bayesian multi-nets using Ant Colony Optimisation

Alex Alves Freitas, Khalid M. Salama, A. Freitas, 2014, Swarm Evol. Comput..

Dependency network methods for Hierarchical Multi-label Classification of gene functions

Alex Alves Freitas, Fabio Fabris, 2014, 2014 IEEE Symposium on Computational Intelligence and Data Mining (CIDM).

LEGAL-tree: a lexicographic multi-objective genetic algorithm for decision tree induction

Alex Alves Freitas, André Carlos Ponce de Leon Ferreira de Carvalho, Rodrigo C. Barros, 2009, SAC '09.

Automatic Design of Decision-Tree Induction Algorithms

Alex Alves Freitas, André Carlos Ponce de Leon Ferreira de Carvalho, Rodrigo C. Barros, 2015, SpringerBriefs in Computer Science.

Contrasting meta-learning and hyper-heuristic research: the role of evolutionary algorithms

Alex Alves Freitas, Gisele L. Pappa, Gabriela Ochoa, 2013, Genetic Programming and Evolvable Machines.

A Genetic Algorithm for Solving a Capacitated p-Median Problem

Alex Alves Freitas, Elon Santos Correa, Maria Teresinha A. Steiner, 2004, Numerical Algorithms.

Hierarchical classification of protein function with ensembles of rules and particle swarm optimisation

Alex Alves Freitas, Nicholas Holden, A. Freitas, 2008, Soft Comput..

Improving the interpretability of classification rules discovered by an ant colony algorithm

Alex Alves Freitas, Fernando E. B. Otero, A. Freitas, 2013, GECCO '13.

Interfacing knowledge discovery algorithms to large database management systems

Alex Alves Freitas, Simon H. Lavington, Neil Dewhurst, 1999, Inf. Softw. Technol..

A Lexicographic Multi-Objective Genetic Algorithm for Multi-Label Correlation Based Feature Selection

Alex Alves Freitas, Suwimol Jungjit, A. Freitas, 2015, GECCO.

Improving Lazy Attribute Selection

Alex Alves Freitas, Bianca Zadrozny, Luiz Henrique de Campos Merschmann, 2011, J. Inf. Data Manag..

Estimating photometric redshifts with genetic algorithms

Alex Alves Freitas, Nick Miles, Stephen Serjeant, 2006, GECCO '06.

Adapting non-hierarchical multilabel classification methods for hierarchical multilabel classification

Alex Alves Freitas, André Carlos Ponce de Leon Ferreira de Carvalho, Ricardo Cerri, 2011, Intell. Data Anal..

Discovering interesting knowledge from a science and technology database with a genetic algorithm

Alex Alves Freitas, Itana Maria de Souza Gimenes, Wesley Romão, 2004, Appl. Soft Comput..

Lazy attribute selection: Choosing attributes at classification time

Alex Alves Freitas, Bianca Zadrozny, Luiz Henrique de Campos Merschmann, 2011, Intell. Data Anal..

A constrained-syntax genetic programming system for discovering classification rules: application to medical data sets

Alex Alves Freitas, Heitor Silvério Lopes, Celia C. Bojarczuk, 2004, Artif. Intell. Medicine.

Evolutionary Design of Decision-Tree Algorithms Tailored to Microarray Gene Expression Data Sets

Alex Alves Freitas, André Carlos Ponce de Leon Ferreira de Carvalho, Rodrigo C. Barros, 2014, IEEE Transactions on Evolutionary Computation.

Multi-label Hierarchical Classification of Protein Functions with Artificial Immune Systems

Alex Alves Freitas, Myriam Regattieri Delgado, Roberto Teixeira Alves, 2008, BSB.

A Survey of Evolutionary Algorithms for Clustering

Alex Alves Freitas, André Carlos Ponce de Leon Ferreira de Carvalho, Ricardo J. G. B. Campello, 2009, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).

Parallel Data Mining for Very Large Relational Databases

Alex Alves Freitas, Simon H. Lavington, 1996, HPCN Europe.

Improving the cAnt-MinerPB Classification Algorithm

Alex Alves Freitas, Fernando E. B. Otero, Matthew Medland, 2012, ANTS.

A Multi-Label Correlation-Based Feature Selection Method for the Classification of Neuroblastoma Microarray Data

Alex Alves Freitas, Suwimol Jungjit, M. Michaelis, 2012, ICDM.

Predicting Rainfall in the Context of Rainfall Derivatives Using Genetic Programming

Alex Alves Freitas, Michael Kampouridis, Sam Cramer, 2015, 2015 IEEE Symposium Series on Computational Intelligence.

An Empirical Evaluation of the Effectiveness of Different Types of Predictor Attributes in Protein Function Prediction

Alex Alves Freitas, Cyril Fonlupt, Denis Robilliard, 2009, Foundations of Computational Intelligence.

Multi-label classification search space in the MEKA software pdf

Alex Alves Freitas, Gisele L. Pappa, Alex Guimarães Cardoso de Sá, 2018, ArXiv.

Guest editorial data mining and knowledge discovery with evolutionary algorithms

Alex Alves Freitas, Ashish Ghosh, 2003, IEEE Trans. Evol. Comput..

MAHATMA: A Genetic Programming-Based Tool for Protein Classification

Alex Alves Freitas, Heitor Silvério Lopes, Denise Fukumi Tsunoda, 2009, 2009 Ninth International Conference on Intelligent Systems Design and Applications.

An Extensive Empirical Comparison of Probabilistic Hierarchical Classifiers in Datasets of Ageing-Related Genes

Alex Alves Freitas, Fabio Fabris, Jennifer M. A. Tullet, 2016, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Instance-based classification with Ant Colony Optimization

Alex Alves Freitas, Khalid M. Salama, Ashraf M. Abdelbar, 2017, Intell. Data Anal..

A revision and analysis of the comprehensiveness of the main longitudinal studies of human aging for data mining research

Alex Alves Freitas, Luis E. Zárate, Cristiane Neri Nobre, 2017, WIREs Data Mining Knowl. Discov..

Novel top-down approaches for hierarchical classification and their application to automatic music genre classification

Alex Alves Freitas, Carlos Nascimento Silla, A. Freitas, 2009, 2009 IEEE International Conference on Systems, Man and Cybernetics.

A Genetic Algorithm For Discovering Interesting Fuzzy Prediction Rules: Applications To Science And Technology Data

Alex Alves Freitas, Roberto Carlos dos Santos Pacheco, Wesley Romão, 2002, GECCO.

Genetic Programming for Automatically Constructing Data Mining Algorithms

Alex Alves Freitas, Gisele L. Pappa, A. Freitas, 2009, Encyclopedia of Data Warehousing and Mining.

New KEGG pathway-based interpretable features for classifying ageing-related mouse proteins

Alex Alves Freitas, Fabio Fabris, A. Freitas, 2016, Bioinform..

Towards a method for automatically selecting and configuring multi-label classification algorithms

Alex Alves Freitas, Gisele L. Pappa, Alex Guimarães Cardoso de Sá, 2017, GECCO.

Automated Selection and Configuration of Multi-Label Classification Algorithms with Grammar-Based Genetic Programming

Alex Alves Freitas, Gisele L. Pappa, Alex Guimarães Cardoso de Sá, 2018, PPSN.

Induction of fuzzy rules with artificial immune systems in acgh based er status breast cancer characterization

Alex Alves Freitas, Vitoantonio Bevilacqua, Stefania Tommasi, 2007, GECCO '07.

An Evolutionary Algorithm for Learning Interpretable Ensembles of Classifiers

Alex Alves Freitas, Rodrigo C. Barros, Henry E. L. Cagnini, 2020, Intelligent Systems.

A grammatical evolution algorithm for generation of Hierarchical Multi-Label Classification rules

Alex Alves Freitas, André Carlos Ponce de Leon Ferreira de Carvalho, Rodrigo C. Barros, 2013, 2013 IEEE Congress on Evolutionary Computation.

Towards Large-Scale Knowledge Discovery in Databases (KDD) by Exploiting Parallelism in Generic KDD Primitives

Alex Alves Freitas, 1997, NGITS.

A Genetic Algorithm for Optimizing the Label Ordering in Multi-label Classifier Chains

Alex Alves Freitas, Alexandre Plastino, Eduardo Corrêa Gonçalves, 2013, 2013 IEEE 25th International Conference on Tools with Artificial Intelligence.

ABC-Miner+: constructing Markov blanket classifiers with ant colony algorithms

Alex Alves Freitas, Khalid M. Salama, A. Freitas, 2014, Memetic Comput..

A Tutorial on Multi-label Classification Techniques

Alex Alves Freitas, André Carlos Ponce de Leon Ferreira de Carvalho, A. Carvalho, 2009, Foundations of Computational Intelligence.

Understanding the Crucial Role of Attribute Interaction in Data Mining

Alex Alves Freitas, A. Freitas, 2001, Artificial Intelligence Review.

Evaluating the use of different measure functions in the predictive quality of ABC-miner

Alex Alves Freitas, Khalid M. Salama, A. Freitas, 2013, GECCO.

An extensive evaluation of seven machine learning methods for rainfall prediction in weather derivatives

Alex Alves Freitas, Michael Kampouridis, Sam Cramer, 2017, Expert Syst. Appl..

Learning hybridization strategies in evolutionary algorithms

Alex Alves Freitas, Antonio LaTorre, José María Peña Sánchez, 2010, Intell. Data Anal..

EDACluster: An Evolucionary Density and Grid-Based Clustering Algorithm

Bianchi Serique Meiguins, Aruanda Simões Goncalves Meiguins, Alex Alves Freitas, 2007, SBBD.

A Global-Model Naive Bayes Approach to the Hierarchical Prediction of Protein Functions

Alex Alves Freitas, Carlos Nascimento Silla, A. Freitas, 2009, 2009 Ninth IEEE International Conference on Data Mining.

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

Alex Alves Freitas, João Pedro de Magalhães, Fabio Fabris, 2018, Bioinform..

Message-passing algorithms for the prediction of protein domain interactions from protein-protein interaction data

Alex Alves Freitas, Colin G. Johnson, Massimo Vergassola, 2008, Bioinform..

Classification-Rule Discovery with an Ant Colony Algorithm

Alex Alves Freitas, Rafael S. Parpinelli, Heitor Silvério Lopes, 2005, Encyclopedia of Information Science and Technology.

Revisiting the Foundations of Artificial Immune Systems: A Problem-Oriented Perspective

Alex Alves Freitas, Jonathan Timmis, A. Freitas, 2003, ICARIS.

An Artificial Immune System for Clustering Amino Acids in the Context of Protein Function Classification

Alex Alves Freitas, Jonathan Timmis, Edward Clark, 2009, J. Math. Model. Algorithms.

An Efficient Algorithm for Hierarchical Classification of Protein and Gene Functions

Alex Alves Freitas, Fabio Fabris, 2014, 2014 25th International Workshop on Database and Expert Systems Applications.

A hybrid PSO/ACO algorithm for classification

Alex Alves Freitas, Nicholas Holden, A. Freitas, 2007, GECCO '07.

Speeding up Knowledge Discovery in Large Relational Databases by Means of a New Discretization Algorithm

Alex Alves Freitas, Simon H. Lavington, A. Freitas, 1996, BNCOD.

A hybrid decision tree/genetic algorithm for coping with the problem of small disjuncts in data mining

Deborah R. Carvalho, Alex Alves Freitas, A. Freitas, 2000, GECCO.

cAnt-Miner: An Ant Colony Classification Algorithm to Cope with Continuous Attributes

Alex Alves Freitas, Colin G. Johnson, Fernando E. B. Otero, 2008, ANTS Conference.

A hierarchical approach to represent relational data applied to clustering tasks

Alex Alves Freitas, Anne M. P. Canuto, João Carlos Xavier, 2011, The 2011 International Joint Conference on Neural Networks.

An Extended Local Hierarchical Classifier for Prediction of Protein and Gene Functions

Alex Alves Freitas, Luiz Henrique de Campos Merschmann, A. Freitas, 2013, DaWaK.

Knowledge discovery with Artificial Immune Systems for hierarchical multi-label classification of protein functions

Alex Alves Freitas, Miguel Delgado, Roberto Teixeira Alves, 2010, International Conference on Fuzzy Systems.

Utilizing multiple pheromones in an ant-based algorithm for continuous-attribute classification rule discovery

Alex Alves Freitas, Fernando E. B. Otero, Khalid M. Salama, 2013, Appl. Soft Comput..

Protein Interaction Inference Using Particle Swarm Optimization Algorithm

Alex Alves Freitas, Colin G. Johnson, Mudassar Iqbal, 2008, EvoBIO.

A Hybrid Data Mining Metaheuristic for the p-Median Problem

Alex Alves Freitas, Saïd Salhi, Alexandre Plastino, 2009, SDM.

Book Review: Data Mining Using Grammar-Based Genetic Programming and Applications

Alex Alves Freitas, A. Freitas, 2001, Genetic Programming and Evolvable Machines.

Automatically Evolving Rule Induction Algorithms

Alex Alves Freitas, Gisele L. Pappa, A. Freitas, 2006, ECML.

A hybrid data mining metaheuristic for the p‐median problem

Alex Alves Freitas, Saïd Salhi, Alexandre Plastino, 2011, Stat. Anal. Data Min..

Evolutionary Algorithms for Data Mining

Alex Alves Freitas, A. Freitas, 2005, The Data Mining and Knowledge Discovery Handbook.

On the hierarchical classification of G protein-coupled receptors

Alex Alves Freitas, Jonathan Timmis, Matthew N. Davies, 2007, Bioinform..

Improving Local Per Level Hierarchical Classification

Alex Alves Freitas, Alexandre Plastino, Bruno C. Paes, 2012, J. Inf. Data Manag..

Scalable, High-Performance Data Mining with Parallel Processing

Alex Alves Freitas, 1998, PKDD.

Reports on the AAAI 1999 Workshop Program

David W. Aha, Alex Alves Freitas, Miquel Sànchez-Marrè, 2000, AI Mag..

Discovering Surprising Instances of Simpson's Paradox in Hierarchical Multidimensional Data

Alex Alves Freitas, Carem C. Fabris, A. Freitas, 2006, Int. J. Data Warehous. Min..

A New Classification-Rule Pruning Procedure for an Ant Colony Algorithm

Alex Alves Freitas, Allen Chan, A. Freitas, 2005, Artificial Evolution.

An Artificial Immune System for Fuzzy-Rule Induction in Data Mining

Alex Alves Freitas, Heitor Silvério Lopes, Myriam Regattieri Delgado, 2004, PPSN.

Artificial Immune Systems in Bioinformatics

Alex Alves Freitas, Giuseppe Nicosia, Vitoantonio Bevilacqua, 2008, Computational Intelligence in Biomedicine and Bioinformatics.

A critical review of multi-objective optimization in data mining: a position paper

Alex Alves Freitas, A. Freitas, 2004, SKDD.

Using Genetic Algorithms to Mine Interesting Dependence Modeling Rules

Aruanda Simões Goncalves Meiguins, Alex Alves Freitas, Roberto Célio Limão de Oliveira, 2005, Databases and Applications.

Predicting the Pro-Longevity or Anti-Longevity Effect of Model Organism Genes with New Hierarchical Feature Selection Methods

Alex Alves Freitas, João Pedro de Magalhães, Cen Wan, 2015, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

WAIRS: improving classification accuracy by weighting attributes in the AIRS classifier

Alex Alves Freitas, Andrew Secker, A. Freitas, 2007, 2007 IEEE Congress on Evolutionary Computation.

Evolving rule induction algorithms with multi-objective grammar-based genetic programming

Alex Alves Freitas, Gisele L. Pappa, A. Freitas, 2009, Knowledge and Information Systems.

Probabilistic Clustering for Hierarchical Multi-Label Classification of Protein Functions

Alex Alves Freitas, André Carlos Ponce de Leon Ferreira de Carvalho, Rodrigo C. Barros, 2013, ECML/PKDD.

Two Extensions to Multi-label Correlation-Based Feature Selection: A Case Study in Bioinformatics

Alex Alves Freitas, Suwimol Jungjit, M. Michaelis, 2013, 2013 IEEE International Conference on Systems, Man, and Cybernetics.

Predicting post-synaptic activity in proteins with data mining

Alex Alves Freitas, Gisele L. Pappa, Anthony J. Baines, 2005, ECCB/JBI.

Web Page Classification with an Ant Colony Algorithm

Alex Alves Freitas, Nicholas Holden, A. Freitas, 2004, PPSN.

Creating Rule Ensembles from Automatically-Evolved Rule Induction Algorithms

Alex Alves Freitas, Gisele L. Pappa, A. Freitas, 2010, Advances in Machine Learning I.

ACO-Based Bayesian Network Ensembles for the Hierarchical Classification of Ageing-Related Proteins

Alex Alves Freitas, Khalid M. Salama, A. Freitas, 2013, EvoBIO.

Predicting volume of distribution with decision tree-based regression methods using predicted tissue:plasma partition coefficients

Alex Alves Freitas, Taravat Ghafourian, Kriti Limbu, 2015, Journal of Cheminformatics.

Ant colony algorithms for constructing Bayesian multi-net classifiers

Alex Alves Freitas, Khalid M. Salama, A. Freitas, 2015, Intell. Data Anal..

Coping with Unbalanced Class Data Sets in Oral Absorption Models

Alex Alves Freitas, Taravat Ghafourian, Danielle Newby, 2013, J. Chem. Inf. Model..

Automatic Text Summarization Using a Machine Learning Approach

Alex Alves Freitas, Celso A. A. Kaestner, Joel Larocca Neto, 2002, SBIA.

Estimating Photometric Redshifts Using Genetic Algorithms

Alex Alves Freitas, Nicholas Miles, Stephen Serjeant, 2006, SGAI Conf..

A Survey of Genetic Algorithms for Multi-Label Classification

Alex Alves Freitas, Alexandre Plastino, Eduardo Corrêa Gonçalves, 2018, 2018 IEEE Congress on Evolutionary Computation (CEC).

Web log data clustering for a multi-agent recommendation system

Alex Alves Freitas, Anne M. P. Canuto, João Carlos Xavier, 2010, 2010 International Conference on Machine Learning and Cybernetics.

Exploring Attribute Selection in Hierarchical Classification

Alex Alves Freitas, Alexandre Plastino, Bruno C. Paes, 2014, J. Inf. Data Manag..

Simpler is Better: a Novel Genetic Algorithm to Induce Compact Multi-label Chain Classifiers

Alex Alves Freitas, Alexandre Plastino, Eduardo Corrêa Gonçalves, 2015, GECCO.

EDACluster: an Evolutionary Density and Grid-Based Clustering Algorithm

Bianchi Serique Meiguins, Aruanda Simões Goncalves Meiguins, Alex Alves Freitas, 2007, Seventh International Conference on Intelligent Systems Design and Applications (ISDA 2007).

Incorporating Deviation-Detection Functionality into the OLAP Paradigm

Alex Alves Freitas, Carem C. Fabris, A. Freitas, 2001, SBBD.

An Evolutionary Approach for Motif Discovery and Transmembrane Protein Classification

Alex Alves Freitas, Heitor Silvério Lopes, Denise Fukumi Tsunoda, 2005, EvoWorkshops.

An Artificial Immune System for Evolving Amino Acid Clusters Tailored to Protein Function Prediction

Alex Alves Freitas, Jonathan Timmis, Edward Clark, 2008, ICARIS.

A Fuzzy Beam-Search Rule Induction Algorithm

Alex Alves Freitas, Celso A. A. Kaestner, Lúcia V. R. Arruda, 1999, PKDD.

Comparing Several Approaches for Hierarchical Classification of Proteins with Decision Trees

Alex Alves Freitas, André Carlos Ponce de Leon Ferreira de Carvalho, Ana Carolina Lorena, 2007, BSB.

AutoClustering: An estimation of distribution algorithm for the automatic generation of clustering algorithms

Bianchi Serique Meiguins, Aruanda Simões Goncalves Meiguins, Alex Alves Freitas, 2010, 2012 IEEE Congress on Evolutionary Computation.

Automatic Design of Decision-Tree Algorithms with Evolutionary Algorithms

Alex Alves Freitas, André Carlos Ponce de Leon Ferreira de Carvalho, Rodrigo C. Barros, 2013, Evolutionary Computation.

Learning Bayesian network classifiers using ant colony optimization

Alex Alves Freitas, Khalid M. Salama, A. Freitas, 2013, Swarm Intelligence.

Hierarchical classification of G-Protein-Coupled Receptors with data-driven selection of attributes and classifiers

Alex Alves Freitas, Jonathan Timmis, Edward Clark, 2009 .

Mining Very Large Databases with Parallel Processing

Alex Alves Freitas, Simon H. Lavington, A. Freitas, 1997, The Kluwer International Series on Advances in Database Systems.

The Pronciple of Transformation between Efficiency and Effectiveness: Towards a Fair Evaluation of the Cost-Effectiveness of KDD Techniques

Alex Alves Freitas, A. Freitas, 1997, PKDD.

Investigating the impact of various classification quality measures in the predictive accuracy of ABC-Miner

Alex Alves Freitas, Khalid M. Salama, A. Freitas, 2013, 2013 IEEE Congress on Evolutionary Computation.

Optimizing amino acid groupings for GPCR classification

Alex Alves Freitas, Jonathan Timmis, Edward Clark, 2008, Bioinform..

A new genetic algorithm for multi-label correlation-based feature selection

Alex Alves Freitas, Suwimol Jungjit, A. Freitas, 2015, ESANN.

Meta-Learning for Recommending Metaheuristics for the MaxSAT Problem

Alex Alves Freitas, Alexandre César Muniz de Oliveira, Enrico S. Miranda, 2018, 2018 7th Brazilian Conference on Intelligent Systems (BRACIS).

Data mining with an ant colony optimization algorithm

Alex Alves Freitas, Rafael S. Parpinelli, Heitor Silvério Lopes, 2002, IEEE Trans. Evol. Comput..

On rule interestingness measures

Alex Alves Freitas, A. Freitas, 1999, Knowl. Based Syst..

Discovering comprehensible classification rules by using Genetic Programming: a case study in a medical domain

Alex Alves Freitas, Heitor Silvério Lopes, Celia C. Bojarczuk, 1999, GECCO.

A hierarchical neural network for predicting protein functions

Alex Alves Freitas, Júlio C. Nievola, Emerson Cabrera Paraiso, 2015, 2015 IEEE 15th International Conference on Bioinformatics and Bioengineering (BIBE).

Comprehensible classification models: a position paper

Alex Alves Freitas, A. Freitas, 2014, SKDD.

Attribute Selection with a Multi-objective Genetic Algorithm

Alex Alves Freitas, Gisele L. Pappa, Celso A. A. Kaestner, 2002, SBIA.

Constructing X-of-n Attributes With A Genetic Algorithm

Alex Alves Freitas, Júlio C. Nievola, Otavio Larsen, 2002, GECCO.

Comparing enrichment analysis and machine learning for identifying gene properties that discriminate between gene classes

Alex Alves Freitas, João Pedro de Magalhães, Fabio Fabris, 2019, Briefings Bioinform..

The Integration of Heterogeneous Biological Data using Bayesian Networks

Alex Alves Freitas, Nick Morris, Ken Mcflarry, 2006, SGAI Conf..

Prediction of the pro-longevity or anti-longevity effect of Caenorhabditis Elegans genes based on Bayesian classification methods

Alex Alves Freitas, Cen Wan, A. Freitas, 2013, 2013 IEEE International Conference on Bioinformatics and Biomedicine.

Selecting different protein representations and classification algorithms in hierarchical protein function prediction

Alex Alves Freitas, Carlos Nascimento Silla, A. Freitas, 2011, Intell. Data Anal..

Lexicographic multi-objective evolutionary induction of decision trees

Alex Alves Freitas, André Carlos Ponce de Leon Ferreira de Carvalho, Rodrigo C. Barros, 2009, Int. J. Bio Inspired Comput..

ABC-Miner: An Ant-Based Bayesian Classification Algorithm

Alex Alves Freitas, Khalid M. Salama, 2012, ANTS.

A Genetic Algorithm With Sequential Niching For Discovering Small-disjunct Rules

Deborah R. Carvalho, Alex Alves Freitas, A. Freitas, 2002, GECCO.

Improving the performance of hierarchical classification with swarm intelligence

Alex Alves Freitas, Nicholas Holden, A. Freitas, 2008, EVOBIO 2008.

A hierarchical multi-label classification ant colony algorithm for protein function prediction

Alex Alves Freitas, Colin G. Johnson, Fernando E. B. Otero, 2010, Memetic Comput..

A hyper-heuristic evolutionary algorithm for automatically designing decision-tree algorithms

Alex Alves Freitas, André Carlos Ponce de Leon Ferreira de Carvalho, Rodrigo C. Barros, 2012, GECCO '12.

Extending multi-label feature selection with KEGG pathway information for microarray data analysis

Alex Alves Freitas, Suwimol Jungjit, M. Michaelis, 2014, 2014 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology.

An Extensive Evaluation of Decision Tree–Based Hierarchical Multilabel Classification Methods and Performance Measures

Alex Alves Freitas, André Carlos Ponce de Leon Ferreira de Carvalho, Gisele L. Pappa, 2015, Comput. Intell..

Fuzzy rule induction and artificial immune systems in female breast cancer familiarity profiling

Alex Alves Freitas, Vitoantonio Bevilacqua, Stefania Tommasi, 2007, Int. J. Hybrid Intell. Syst..

Particle swarm and bayesian networks applied to attribute selection for protein functional classification

Alex Alves Freitas, Colin G. Johnson, Elon Santos Correa, 2007, GECCO '07.

A Hybrid Evolutionary Approach for the Protein Classification Problem

Alex Alves Freitas, Heitor Silvério Lopes, Denise Fukumi Tsunoda, 2009, ICCCI.

A Survey of Evolutionary Algorithms for Decision-Tree Induction

Alex Alves Freitas, André Carlos Ponce de Leon Ferreira de Carvalho, Rodrigo C. Barros, 2012, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).

Automatic Text Summarization with Genetic Algorithm-Based Attribute Selection

Alex Alves Freitas, Gisele L. Pappa, Celso A. A. Kaestner, 2004, IBERAMIA.

A Novel Genetic Algorithm for Feature Selection in Hierarchical Feature Spaces

Alex Alves Freitas, Alexandre Plastino, Pablo Nascimento da Silva, 2018, SDM.

Feature Selection for the Classification of Longitudinal Human Ageing Data

Alex Alves Freitas, Tossapol Pomsuwan, 2017, 2017 IEEE International Conference on Data Mining Workshops (ICDMW).

Decomposition genetic programming: An extensive evaluation on rainfall prediction in the context of weather derivatives

Alex Alves Freitas, Michael Kampouridis, Sam Cramer, 2018, Appl. Soft Comput..

Evaluating the Correlation Between Objective Rule Interestingness Measures and Real Human Interest

Deborah R. Carvalho, Alex Alves Freitas, Nelson F. F. Ebecken, 2005, PKDD.

Automatically evolving rule induction algorithms tailored to the prediction of postsynaptic activity in proteins

Alex Alves Freitas, Gisele L. Pappa, A. Freitas, 2009, Intell. Data Anal..

Multi-objective genetic algorithms in the study of the genetic code's adaptability

Alex Alves Freitas, Renato Tinós, Lariza Laura de Oliveira, 2018, Inf. Sci..

Evolving decision trees with beam search-based initialization and lexicographic multi-objective evaluation

Alex Alves Freitas, André Carlos Ponce de Leon Ferreira de Carvalho, Rodrigo C. Barros, 2014, Inf. Sci..

Two methods for constructing a gene ontology-based feature network for a Bayesian network classifier and applications to datasets of aging-related genes

Alex Alves Freitas, Cen Wan, A. Freitas, 2015, BCB.

A Novel Extended Hierarchical Dependence Network Method Based on Non-hierarchical Predictive Classes and Applications to Ageing-Related Data

Alex Alves Freitas, Fabio Fabris, A. Freitas, 2015, 2015 IEEE 27th International Conference on Tools with Artificial Intelligence (ICTAI).

An Innovative Application of a Constrained-Syntax Genetic Programming System to the Problem of Predicting Survival of Patients

Alex Alves Freitas, Heitor Silvério Lopes, Celia C. Bojarczuk, 2003, EuroGP.

Evolving recursive programs using non-recursive scaffolding

Alex Alves Freitas, Simon J. Thompson, Alberto Moraglio, 2012, 2012 IEEE Congress on Evolutionary Computation.

AISIID: An artificial immune system for interesting information discovery on the web

Alex Alves Freitas, Jonathan Timmis, Andrew Secker, 2008, Appl. Soft Comput..

Monotonicity Detection and Enforcement in Longitudinal Classification

Alex Alves Freitas, Fernando E. B. Otero, Sergey Ovchinnik, 2019, SGAI Conf..

Evolving relational hierarchical classification rules for predicting gene ontology-based protein functions

Alex Alves Freitas, André Carlos Ponce de Leon Ferreira de Carvalho, Rodrigo C. Barros, 2014, GECCO.

Top-Down Hierarchical Ensembles of Classifiers for Predicting G-Protein-Coupled-Receptor Functions

Alex Alves Freitas, André Carlos Ponce de Leon Ferreira de Carvalho, Ana Carolina Lorena, 2008, BSB.

A new version of the ant-miner algorithm discovering unordered rule sets

Alex Alves Freitas, James Smaldon, A. Freitas, 2006, GECCO '06.

Towards the automatic design of decision tree induction algorithms

Alex Alves Freitas, André Carlos Ponce de Leon Ferreira de Carvalho, Rodrigo C. Barros, 2011, GECCO.

Clustering-based Bayesian Multi-net Classifier construction with Ant Colony Optimization

Alex Alves Freitas, Khalid M. Salama, A. Freitas, 2013, 2013 IEEE Congress on Evolutionary Computation.

A hybrid particle swarm/ant colony algorithm for the classification of hierarchical biological data

Alex Alves Freitas, Nicholas Holden, A. Freitas, 2005, Proceedings 2005 IEEE Swarm Intelligence Symposium, 2005. SIS 2005..

Comparing a Genetic Algorithm with a Rule Induction Algorithm in the Data Mining Task of Dependence Modeling

Alex Alves Freitas, Heitor Silvério Lopes, Edgar Noda, 2000, GECCO.

A Genetic Algorithm-Based Solution for the Problem of Small Disjuncts

Deborah R. Carvalho, Alex Alves Freitas, 2000, PKDD.

On the Importance of Comprehensible Classification Models for Protein Function Prediction

Alex Alves Freitas, Rolf Apweiler, Daniela Wieser, 2010, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

An empirical evaluation of hierarchical feature selection methods for classification in bioinformatics datasets with gene ontology-based features

Alex Alves Freitas, Cen Wan, A. Freitas, 2018, Artificial Intelligence Review.

On Objective Measures of Rule Surprisingness

Alex Alves Freitas, A. Freitas, 1998, PKDD.

A new discrete particle swarm algorithm applied to attribute selection in a bioinformatics data set

Alex Alves Freitas, Colin G. Johnson, Elon Santos Correa, 2006, GECCO.

A Review of evolutionary Algorithms for Data Mining

Alex Alves Freitas, A. Freitas, 2008, Soft Computing for Knowledge Discovery and Data Mining.

Analysing the Overfit of the Auto-sklearn Automated Machine Learning Tool

Alex Alves Freitas, Fabio Fabris, 2019, LOD.

Generating Text Summaries through the Relative Importance of Topics

Alex Alves Freitas, Celso A. A. Kaestner, Joel Larocca Neto, 2000, IBERAMIA-SBIA.

Handling continuous attributes in Ant Colony Classification algorithms

Alex Alves Freitas, Colin G. Johnson, Fernando E. B. Otero, 2009, 2009 IEEE Symposium on Computational Intelligence and Data Mining.

Extending the ABC-Miner Bayesian Classification Algorithm

Alex Alves Freitas, Khalid M. Salama, A. Freitas, 2013, NICSO.

A Hierarchical Classification Ant Colony Algorithm for Predicting Gene Ontology Terms

Alex Alves Freitas, Colin G. Johnson, Fernando E. B. Otero, 2009, EvoBIO.

AutoClustering: An estimation of distribution algorithm for the automatic generation of clustering algorithms

Bianchi Serique Meiguins, Aruanda Simões Goncalves Meiguins, Alex Alves Freitas, 2012, IEEE Congress on Evolutionary Computation.

Pricing Rainfall Based Futures Using Genetic Programming

Alex Alves Freitas, Michael Kampouridis, Sam Cramer, 2017, EvoApplications.

Discovering Fuzzy Classification Rules with Genetic Programming and Co-evolution

Alex Alves Freitas, Júlio C. Nievola, Roberto R. F. Mendes, 2001, PKDD.

AISEC: an artificial immune system for e-mail classification

Alex Alves Freitas, Jonathan Timmis, Andrew Secker, 2003, IEEE Congress on Evolutionary Computation.

A Danger Theory Inspired Approach to Web Mining

Alex Alves Freitas, Jonathan Timmis, Andrew Secker, 2003, ICARIS.

Distinct Chains for Different Instances: An Effective Strategy for Multi-label Classifier Chains

Alex Alves Freitas, Alexandre Plastino, Eduardo Corrêa Gonçalves, 2014, ECML/PKDD.

A hybrid decision tree/genetic algorithm method for data mining

Deborah R. Carvalho, Alex Alves Freitas, A. Freitas, 2004, Inf. Sci..

Improving the Interpretability of Classification Rules in Sparse Bioinformatics Datasets

Alex Alves Freitas, James Smaldon, 2006, SGAI Conf..

Revisiting the Foundations of Artificial Immune Systems for Data Mining

Alex Alves Freitas, Jonathan Timmis, A. Freitas, 2007, IEEE Transactions on Evolutionary Computation.

Constructed Temporal Features for Longitudinal Classification of Human Ageing Data

Alex Alves Freitas, Caio Eduardo Ribeiro, 2021, 2021 IEEE 9th International Conference on Healthcare Informatics (ICHI).