Alex Alves Freitas

251 papers A* 2A 22B 23C 7Misc 5Journal 104Unranked 75

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Revisiting Gene Ontology Knowledge Discovery with Hierarchical Feature Selection and Virtual Study Group of AI Agents. CoRR Cen Wan, Alex Alves Freitas
2025	—	`conf`	A New Longitudinal Classification Method Based on Stacking Predictions for Separate Time Points. AI (1) Simon Provost, Alex Alves Freitas
2025	J	`jnl`	Automated machine learning for positive-unlabelled learning. Appl. Intell. Jack D. Saunders, Alex Alves Freitas
2025	J	`jnl`	Enhancing dementia prediction models: Leveraging temporal patterns and class-balancing methods. Appl. Soft Comput. Flávio Luiz Seixas, Elaine Rangel Seixas, Alex Alves Freitas
2025	—	`conf`	Interpreting Machine Learning Pipelines Produced by Evolutionary AutoML for Biochemical Property Prediction. GECCO Companion Alex G. C. de Sá, Gisele L. Pappa, Alex Alves Freitas, David B. Ascher
2025	J	`jnl`	Robust Gene Prioritization via Fast-mRMR Feature Selection in high-dimensional omics data. CoRR Rubén Fernández-Farelo, Jorge Paz-Ruza, Bertha Guijarro-Berdiñas, Amparo Alonso-Betanzos, Alex Alves Freitas
2025	J	`jnl`	Scikit-Longitudinal: A Machine Learning Library for Longitudinal Classification in Python. J. Open Source Softw. Simon Provost, Alex Alves Freitas
2024	Misc	`conf`	A Genetic Algorithm-based Auto-ML System for Survival Analysis. SAC Tossapol Pomsuwan, Alex Alves Freitas
2024	J	`jnl`	A lexicographic optimisation approach to promote more recent features on longitudinal decision-tree-based classifiers: applications to the English Longitudinal Study of Ageing. Artif. Intell. Rev. Caio Eduardo Ribeiro, Alex Alves Freitas
2024	—	`conf`	Auto-Sklong: A New AutoML System for Longitudinal Classification. BIBM Simon Provost, Alex Alves Freitas
2024	J	`jnl`	Automated Machine Learning for Positive-Unlabelled Learning. CoRR Jack D. Saunders, Alex Alves Freitas
2024	J	`jnl`	Positive-Unlabelled Learning for Identifying New Candidate Dietary Restriction-related Genes among Ageing-related Genes. CoRR Jorge Paz-Ruza, Alex Alves Freitas, Amparo Alonso-Betanzos, Bertha Guijarro-Berdiñas
2024	J	`jnl`	Positive-Unlabelled learning for identifying new candidate Dietary Restriction-related genes among ageing-related genes. Comput. Biol. Medicine Jorge Paz-Ruza, Alex Alves Freitas, Amparo Alonso-Betanzos, Bertha Guijarro-Berdiñas
2024	J	`jnl`	The Case for Hybrid Multi-Objective Optimisation in High-Stakes Machine Learning Applications. SIGKDD Explor. Alex Alves Freitas
2023	J	`jnl`	A survey of evolutionary algorithms for supervised ensemble learning. Knowl. Eng. Rev. Henry E. L. Cagnini, Silvia N. das Dôres, Alex Alves Freitas, Rodrigo C. Barros
2023	J	`jnl`	Fair Feature Selection: A Comparison of Multi-Objective Genetic Algorithms. CoRR James Brookhouse, Alex Alves Freitas
2023	J	`jnl`	Interpretable Ensembles of Classifiers for Uncertain Data With Bioinformatics Applications. IEEE ACM Trans. Comput. Biol. Bioinform. Marcelo Rodrigues de Holanda Maia, Alexandre Plastino, Alex Alves Freitas, João Pedro de Magalhães
2023	J	`jnl`	Stochastic local search and parameters recommendation: a case study on flowshop problems. Int. Trans. Oper. Res. Lucas M. Pavelski, Myriam Regattieri Delgado, Marie-Eléonore Kessaci, Alex Alves Freitas
2022	—	`conf`	Evaluating a New Genetic Algorithm for Automated Machine Learning in Positive-Unlabelled Learning. EA Jack D. Saunders, Alex Alves Freitas
2022	J	`jnl`	Evaluating the Predictive Performance of Positive- Unlabelled Classifiers: a brief critical review and practical recommendations for improvement. SIGKDD Explor. Jack D. Saunders, Alex Alves Freitas
2022	J	`jnl`	Evaluating the Predictive Performance of Positive-Unlabelled Classifiers: a brief critical review and practical recommendations for improvement. CoRR Jack D. Saunders, Alex Alves Freitas
2022	—	`conf`	Fair Feature Selection with a Lexicographic Multi-objective Genetic Algorithm. PPSN (2) James Brookhouse, Alex Alves Freitas
2022	—	`conf`	GA-auto-PU: a genetic algorithm-based automated machine learning system for positive-unlabeled learning. GECCO Companion Jack D. Saunders, Alex Alves Freitas
2022	J	`jnl`	Hierarchical Dependency Constrained Tree Augmented Naive Bayes Classifiers for Hierarchical Feature Spaces. CoRR Cen Wan, Alex Alves Freitas
2022	J	`jnl`	How data-sharing nudges influence people's privacy preferences: A machine learning-based analysis. EAI Endorsed Trans. Security Safety Yang Lu, Shujun Li, Alex Alves Freitas, Athina Ioannou
2022	J	`jnl`	Machine learning-based predictions of dietary restriction associations across ageing-related genes. BMC Bioinform. Gustavo Daniel Vega Magdaleno, Vladislav Bespalov, Yalin Zheng, Alex Alves Freitas, João Pedro de Magalhães
2022	Misc	`conf`	Nested trees for longitudinal classification. SAC Sergey Ovchinnik, Fernando E. B. Otero, Alex Alves Freitas
2022	—	`conf`	New Variations of Random Survival Forests and Applications to Age-Related Disease Data. ICHI Tossapol Pomsuwan, Alex Alves Freitas
2021	J	`jnl`	A Novel Feature Selection Method for Uncertain Features: An Application to the Prediction of Pro-/Anti-Longevity Genes. IEEE ACM Trans. Comput. Biol. Bioinform. Pablo Nascimento da Silva, Alexandre Plastino, Fabio Fabris, Alex Alves Freitas
2021	J	`jnl`	A data-driven missing value imputation approach for longitudinal datasets. Artif. Intell. Rev. Caio Eduardo Ribeiro, Alex Alves Freitas
2021	A*	`conf`	An Ensemble of Naive Bayes Classifiers for Uncertain Categorical Data. ICDM Marcelo Rodrigues de Holanda Maia, Alexandre Plastino, Alex Alves Freitas
2021	J	`jnl`	An extensive experimental evaluation of automated machine learning methods for recommending classification algorithms. Evol. Intell. Márcio P. Basgalupp, Rodrigo C. Barros, Alex Guimarães Cardoso de Sá, Gisele L. Pappa, Rafael Gomes Mantovani, André C. P. L. F. de Carvalho, Alex Alves Freitas
2021	—	`conf`	Constructed Temporal Features for Longitudinal Classification of Human Ageing Data. ICHI Caio Eduardo Ribeiro, Alex Alves Freitas
2021	J	`jnl`	Is p-value $<$ 0.05 enough? A study on the statistical evaluation of classifiers. Knowl. Eng. Rev. Nadine M. Neumann, Alexandre Plastino, Jony A. Pinto Junior, Alex Alves Freitas
2020	—	`conf`	A New Random Forest Method for Longitudinal Data Classification Using a Lexicographic Bi-Objective Approach. SSCI Caio Eduardo Ribeiro, Alex Alves Freitas
2020	J	`jnl`	A Robust Experimental Evaluation of Automated Multi-Label Classification Methods. CoRR Alex Guimarães Cardoso de Sá, Cristiano Guimarães Pimenta, Gisele L. Pappa, Alex Alves Freitas
2020	A	`conf`	A robust experimental evaluation of automated multi-label classification methods. GECCO Alex Guimarães Cardoso de Sá, Cristiano Guimarães Pimenta, Gisele Lobo Pappa, Alex Alves Freitas
2020	B	`conf`	Adapting Random Forests to Cope with Heavily Censored Datasets in Survival Analysis. ESANN Tossapol Pomsuwan, Alex Alves Freitas
2020	—	`conf`	An Evolutionary Algorithm for Learning Interpretable Ensembles of Classifiers. BRACIS Henry E. L. Cagnini, Alex Alves Freitas, Rodrigo C. Barros
2020	J	`jnl`	An Extensive Experimental Evaluation of Automated Machine Learning Methods for Recommending Classification Algorithms (Extended Version). CoRR Márcio P. Basgalupp, Rodrigo C. Barros, Alex Guimarães Cardoso de Sá, Gisele L. Pappa, Rafael Gomes Mantovani, André C. P. L. F. de Carvalho, Alex Alves Freitas
2020	J	`jnl`	An evolutionary algorithm for automated machine learning focusing on classifier ensembles: An improved algorithm and extended results. Theor. Comput. Sci. João Carlos Xavier Junior, Alex Alves Freitas, Teresa Bernarda Ludermir, Antonino Feitosa Neto, Cephas A. S. Barreto
2020	J	`jnl`	Comparing enrichment analysis and machine learning for identifying gene properties that discriminate between gene classes. Briefings Bioinform. Fabio Fabris, Daniel Palmer, João Pedro de Magalhães, Alex Alves Freitas
2020	—	`conf`	Hierarchical Dependency Constrained Averaged One-Dependence Estimators Classifiers for Hierarchical Feature Spaces. PGM Cen Wan, Alex Alves Freitas
2020	J	`jnl`	Investigating the role of Simpson's paradox in the analysis of top-ranked features in high-dimensional bioinformatics datasets. Briefings Bioinform. Alex Alves Freitas
2020	J	`jnl`	Prioritizing positive feature values: a new hierarchical feature selection method. Appl. Intell. Pablo Nascimento da Silva, Alexandre Plastino, Alex Alves Freitas
2020	J	`jnl`	Using deep learning to associate human genes with age-related diseases. Bioinform. Fabio Fabris, Daniel Palmer, Khalid M. Salama, João Pedro de Magalhães, Alex Alves Freitas
2019	—	`conf`	Analysing the Overfit of the Auto-sklearn Automated Machine Learning Tool. LOD Fabio Fabris, Alex Alves Freitas
2019	C	`conf`	Automated Machine Learning for Studying the Trade-Off Between Predictive Accuracy and Interpretability. CD-MAKE Alex Alves Freitas
2019	—	`conf`	Monotonicity Detection and Enforcement in Longitudinal Classification. SGAI Conf. Sergey Ovchinnik, Fernando E. B. Otero, Alex Alves Freitas
2019	J	`jnl`	Stochastic model genetic programming: Deriving pricing equations for rainfall weather derivatives. Swarm Evol. Comput. Sam Cramer, Michael Kampouridis, Alex Alves Freitas, Antonis Alexandridis
2018	—	`conf`	A Novel Evolutionary Algorithm for Automated Machine Learning Focusing on Classifier Ensembles. BRACIS João C. Xavier Junior, Alex Alves Freitas, Antonino Feitosa Neto, Teresa Bernarda Ludermir
2018	A	`conf`	A Novel Genetic Algorithm for Feature Selection in Hierarchical Feature Spaces. SDM Pablo Nascimento da Silva, Alexandre Plastino, Alex Alves Freitas
2018	B	`conf`	A Survey of Genetic Algorithms for Multi-Label Classification. CEC Eduardo Corrêa Gonçalves, Alex Alves Freitas, Alexandre Plastino
2018	J	`jnl`	A new approach for interpreting Random Forest models and its application to the biology of ageing. Bioinform. Fabio Fabris, Aoife Doherty, Daniel Palmer, João Pedro de Magalhães, Alex Alves Freitas
2018	J	`jnl`	An empirical evaluation of hierarchical feature selection methods for classification in bioinformatics datasets with gene ontology-based features. Artif. Intell. Rev. Cen Wan, Alex Alves Freitas
2018	—	`conf`	Automated Selection and Configuration of Multi-Label Classification Algorithms with Grammar-Based Genetic Programming. PPSN (2) Alex Guimarães Cardoso de Sá, Alex Alves Freitas, Gisele L. Pappa
2018	J	`jnl`	Decomposition genetic programming: An extensive evaluation on rainfall prediction in the context of weather derivatives. Appl. Soft Comput. Sam Cramer, Michael Kampouridis, Alex Alves Freitas
2018	—	`conf`	Meta-Learning for Recommending Metaheuristics for the MaxSAT Problem. BRACIS Enrico S. Miranda, Fabio Fabris, Chrystian G. M. Nascimento, Alex Alves Freitas, Alexandre C. M. Oliveira
2018	J	`jnl`	Multi-label classification search space in the MEKA software. CoRR Alex Guimarães Cardoso de Sá, Alex Alves Freitas, Gisele L. Pappa
2018	J	`jnl`	Multi-objective genetic algorithms in the study of the genetic code's adaptability. Inf. Sci. Lariza Laura de Oliveira, Alex Alves Freitas, Renato Tinós
2017	J	`jnl`	A revision and analysis of the comprehensiveness of the main longitudinal studies of human aging for data mining research. WIREs Data Mining Knowl. Discov. Caio Eduardo Ribeiro, Luis Henrique S. Brito, Cristiane Neri Nobre, Alex Alves Freitas, Luis Enrique Zárate
2017	J	`jnl`	An extensive evaluation of seven machine learning methods for rainfall prediction in weather derivatives. Expert Syst. Appl. Sam Cramer, Michael Kampouridis, Alex Alves Freitas, Antonis K. Alexandridis
2017	—	`conf`	Feature Selection for the Classification of Longitudinal Human Ageing Data. ICDM Workshops Tossapol Pomsuwan, Alex Alves Freitas
2017	J	`jnl`	Instance-based classification with Ant Colony Optimization. Intell. Data Anal. Khalid M. Salama, Ashraf M. Abdelbar, Ayah M. Helal, Alex Alves Freitas
2017	—	`conf`	Pricing Rainfall Based Futures Using Genetic Programming. EvoApplications (1) Sam Cramer, Michael Kampouridis, Alex Alves Freitas, Antonis K. Alexandridis
2017	—	`conf`	Towards a method for automatically selecting and configuring multi-label classification algorithms. GECCO (Companion) Alex Guimarães Cardoso de Sá, Gisele L. Pappa, Alex Alves Freitas
2016	A	`conf`	A Genetic Decomposition Algorithm for Predicting Rainfall within Financial Weather Derivatives. GECCO Sam Cramer, Michael Kampouridis, Alex Alves Freitas
2016	J	`jnl`	A New Hierarchical Redundancy Eliminated Tree Augmented Naive Bayes Classifier for Coping with Gene Ontology-based Features. CoRR Cen Wan, Alex Alves Freitas
2016	J	`jnl`	A novel applicability domain technique for mapping predictive reliability across the chemical space of a QSAR: reliability-density neighbourhood. J. Cheminformatics Natália Aniceto, Alex Alves Freitas, Andreas Bender, Taravat Ghafourian
2016	J	`jnl`	An Extensive Empirical Comparison of Probabilistic Hierarchical Classifiers in Datasets of Ageing-Related Genes. IEEE ACM Trans. Comput. Biol. Bioinform. Fabio Fabris, Alex Alves Freitas, Jennifer M. A. Tullet
2016	B	`conf`	Feature engineering for improving financial derivatives-based rainfall prediction. CEC Sam Cramer, Michael Kampouridis, Alex Alves Freitas
2016	J	`jnl`	Improving the Interpretability of Classification Rules Discovered by an Ant Colony Algorithm: Extended Results. Evol. Comput. Fernando E. B. Otero, Alex Alves Freitas
2016	J	`jnl`	New KEGG pathway-based interpretable features for classifying ageing-related mouse proteins. Bioinform. Fabio Fabris, Alex Alves Freitas
2015	—	`conf`	A Lexicographic Multi-Objective Genetic Algorithm for Multi-Label Correlation Based Feature Selection. GECCO (Companion) Suwimol Jungjit, Alex Alves Freitas
2015	B	`conf`	A Novel Extended Hierarchical Dependence Network Method Based on Non-hierarchical Predictive Classes and Applications to Ageing-Related Data. ICTAI Fabio Fabris, Alex Alves Freitas
2015	C	`conf`	A hierarchical neural network for predicting protein functions. BIBE Júlio César Nievola, Emerson Cabrera Paraiso, Alex Alves Freitas
2015	B	`conf`	A new genetic algorithm for multi-label correlation-based feature selection. ESANN Suwimol Jungjit, Alex Alves Freitas
2015	J	`jnl`	An Extensive Evaluation of Decision Tree-Based Hierarchical Multilabel Classification Methods and Performance Measures. Comput. Intell. Ricardo Cerri, Gisele L. Pappa, André Carlos Ponce de Leon Ferreira de Carvalho, Alex Alves Freitas
2015	J	`jnl`	Ant colony algorithms for constructing Bayesian multi-net classifiers. Intell. Data Anal. Khalid M. Salama, Alex Alves Freitas
2015	—	`book`	Automatic Design of Decision-Tree Induction Algorithms Rodrigo C. Barros, André C. P. L. F. de Carvalho, Alex Alves Freitas
2015	—	`conf`	Predicting Rainfall in the Context of Rainfall Derivatives Using Genetic Programming. SSCI Sam Cramer, Michael Kampouridis, Alex Alves Freitas, Antonis Alexandridis
2015	J	`jnl`	Predicting the Pro-Longevity or Anti-Longevity Effect of Model Organism Genes with New Hierarchical Feature Selection Methods. IEEE ACM Trans. Comput. Biol. Bioinform. Cen Wan, Alex Alves Freitas, João Pedro de Magalhães
2015	J	`jnl`	Predicting volume of distribution with decision tree-based regression methods using predicted tissue: plasma partition coefficients. J. Cheminformatics Alex Alves Freitas, Kriti Limbu, Taravat Ghafourian
2015	A	`conf`	Simpler is Better: a Novel Genetic Algorithm to Induce Compact Multi-label Chain Classifiers. GECCO Eduardo Corrêa Gonçalves, Alexandre Plastino, Alex Alves Freitas
2015	—	`conf`	Two methods for constructing a gene ontology-based feature network for a Bayesian network classifier and applications to datasets of aging-related genes. BCB Cen Wan, Alex Alves Freitas
2014	J	`jnl`	ABC-Miner+: constructing Markov blanket classifiers with ant colony algorithms. Memetic Comput. Khalid M. Salama, Alex Alves Freitas
2014	—	`conf`	An Efficient Algorithm for Hierarchical Classification of Protein and Gene Functions. DEXA Workshops Fabio Fabris, Alex Alves Freitas
2014	J	`jnl`	Classification with cluster-based Bayesian multi-nets using Ant Colony Optimisation. Swarm Evol. Comput. Khalid M. Salama, Alex Alves Freitas
2014	J	`jnl`	Contrasting meta-learning and hyper-heuristic research: the role of evolutionary algorithms. Genet. Program. Evolvable Mach. Gisele L. Pappa, Gabriela Ochoa, Matthew R. Hyde, Alex Alves Freitas, John R. Woodward, Jerry Swan
2014	C	`conf`	Dependency network methods for Hierarchical Multi-label Classification of gene functions. CIDM Fabio Fabris, Alex Alves Freitas
2014	—	`conf`	Distinct Chains for Different Instances: An Effective Strategy for Multi-label Classifier Chains. ECML/PKDD (2) Pablo Nascimento da Silva, Eduardo Corrêa Gonçalves, Alexandre Plastino, Alex Alves Freitas
2014	J	`jnl`	Evolutionary Design of Decision-Tree Algorithms Tailored to Microarray Gene Expression Data Sets. IEEE Trans. Evol. Comput. Rodrigo C. Barros, Márcio P. Basgalupp, Alex Alves Freitas, André Carlos Ponce de Leon Ferreira de Carvalho
2014	J	`jnl`	Evolving decision trees with beam search-based initialization and lexicographic multi-objective evaluation. Inf. Sci. Márcio P. Basgalupp, Rodrigo C. Barros, André Carlos Ponce de Leon Ferreira de Carvalho, Alex Alves Freitas
2014	—	`conf`	Evolving relational hierarchical classification rules for predicting gene ontology-based protein functions. GECCO (Companion) Ricardo Cerri, Rodrigo C. Barros, Alex Alves Freitas, André Carlos Ponce de Leon Ferreira de Carvalho
2014	J	`jnl`	Exploring Attribute Selection in Hierarchical Classification. J. Inf. Data Manag. Bruno C. Paes, Alexandre Plastino, Alex Alves Freitas
2014	C	`conf`	Extending multi-label feature selection with KEGG pathway information for microarray data analysis. CIBCB Suwimol Jungjit, Martin Michaelis, Alex Alves Freitas, Jindrich Cinatl
2013	B	`conf`	A Genetic Algorithm for Optimizing the Label Ordering in Multi-label Classifier Chains. ICTAI Eduardo Corrêa Gonçalves, Alexandre Plastino, Alex Alves Freitas
2013	J	`jnl`	A New Sequential Covering Strategy for Inducing Classification Rules With Ant Colony Algorithms. IEEE Trans. Evol. Comput. Fernando E. B. Otero, Alex Alves Freitas, Colin G. Johnson
2013	B	`conf`	A grammatical evolution algorithm for generation of Hierarchical Multi-Label Classification rules. IEEE Congress on Evolutionary Computation Ricardo Cerri, Rodrigo C. Barros, André Carlos Ponce de Leon Ferreira de Carvalho, Alex Alves Freitas
2013	—	`conf`	ACO-Based Bayesian Network Ensembles for the Hierarchical Classification of Ageing-Related Proteins. EvoBIO Khalid M. Salama, Alex Alves Freitas
2013	B	`conf`	An Extended Local Hierarchical Classifier for Prediction of Protein and Gene Functions. DaWaK Luiz Henrique de Campos Merschmann, Alex Alves Freitas
2013	J	`jnl`	Automatic Design of Decision-Tree Algorithms with Evolutionary Algorithms. Evol. Comput. Rodrigo C. Barros, Márcio P. Basgalupp, André Carlos Ponce de Leon Ferreira de Carvalho, Alex Alves Freitas
2013	B	`conf`	Clustering-based Bayesian Multi-net Classifier construction with Ant Colony Optimization. IEEE Congress on Evolutionary Computation Khalid M. Salama, Alex Alves Freitas
2013	J	`jnl`	Comprehensible classification models: a position paper. SIGKDD Explor. Alex Alves Freitas
2013	J	`jnl`	Coping with Unbalanced Class Data Sets in Oral Absorption Models. J. Chem. Inf. Model. Danielle Newby, Alex Alves Freitas, Taravat Ghafourian
2013	—	`conf`	Evaluating the use of different measure functions in the predictive quality of ABC-miner. GECCO (Companion) Khalid M. Salama, Alex Alves Freitas
2013	—	`conf`	Extending the ABC-Miner Bayesian Classification Algorithm. NICSO Khalid M. Salama, Alex Alves Freitas
2013	A	`conf`	Improving the interpretability of classification rules discovered by an ant colony algorithm. GECCO Fernando E. B. Otero, Alex Alves Freitas
2013	B	`conf`	Investigating the impact of various classification quality measures in the predictive accuracy of ABC-Miner. IEEE Congress on Evolutionary Computation Khalid M. Salama, Alex Alves Freitas
2013	J	`jnl`	Learning Bayesian network classifiers using ant colony optimization. Swarm Intell. Khalid M. Salama, Alex Alves Freitas
2013	J	`jnl`	Pre-processing Feature Selection for Improved C&RT Models for Oral Absorption. J. Chem. Inf. Model. Danielle Newby, Alex Alves Freitas, Taravat Ghafourian
2013	—	`conf`	Prediction of the pro-longevity or anti-longevity effect of Caenorhabditis Elegans genes based on Bayesian classification methods. BIBM Cen Wan, Alex Alves Freitas
2013	—	`conf`	Probabilistic Clustering for Hierarchical Multi-Label Classification of Protein Functions. ECML/PKDD (2) Rodrigo C. Barros, Ricardo Cerri, Alex Alves Freitas, André Carlos Ponce de Leon Ferreira de Carvalho
2013	B	`conf`	Two Extensions to Multi-label Correlation-Based Feature Selection: A Case Study in Bioinformatics. SMC Suwimol Jungjit, Martin Michaelis, Alex Alves Freitas, Jindrich Cinatl
2013	J	`jnl`	Utilizing multiple pheromones in an ant-based algorithm for continuous-attribute classification rule discovery. Appl. Soft Comput. Khalid M. Salama, Ashraf M. Abdelbar, Fernando E. B. Otero, Alex Alves Freitas
2012	—	`conf`	A Multi-Label Correlation-Based Feature Selection Method for the Classification of Neuroblastoma Microarray Data. ICDM (Workshops) Suwimol Jungjit, Alex Alves Freitas, Martin Michaelis, Jindrich Cinatl
2012	J	`jnl`	A Survey of Evolutionary Algorithms for Decision-Tree Induction. IEEE Trans. Syst. Man Cybern. Part C Rodrigo Coelho Barros, Márcio Porto Basgalupp, André Carlos Ponce de Leon Ferreira de Carvalho, Alex Alves Freitas
2012	A	`conf`	A hyper-heuristic evolutionary algorithm for automatically designing decision-tree algorithms. GECCO Rodrigo C. Barros, Márcio P. Basgalupp, André Carlos Ponce de Leon Ferreira de Carvalho, Alex Alves Freitas
2012	—	`conf`	ABC-Miner: An Ant-Based Bayesian Classification Algorithm. ANTS Khalid M. Salama, Alex Alves Freitas
2012	B	`conf`	AutoClustering: An estimation of distribution algorithm for the automatic generation of clustering algorithms. IEEE Congress on Evolutionary Computation Aruanda Simões Goncalves Meiguins, Roberto Célio Limão de Oliveira, Bianchi Serique Meiguins, Samuel F. S. Junior, Alex Alves Freitas
2012	B	`conf`	Evolving recursive programs using non-recursive scaffolding. IEEE Congress on Evolutionary Computation Alberto Moraglio, Fernando E. B. Otero, Colin G. Johnson, Simon J. Thompson, Alex Alves Freitas
2012	J	`jnl`	Improving Local Per Level Hierarchical Classification. J. Inf. Data Manag. Bruno C. Paes, Alexandre Plastino, Alex Alves Freitas
2012	—	`conf`	Improving the cAnt-MinerPB Classification Algorithm. ANTS Matthew Medland, Fernando E. B. Otero, Alex Alves Freitas
2012	J	`jnl`	Inducing decision trees with an ant colony optimization algorithm. Appl. Soft Comput. Fernando E. B. Otero, Alex Alves Freitas, Colin G. Johnson
2011	J	`jnl`	A genetic programming method for protein motif discovery and protein classification. Soft Comput. Denise Fukumi Tsunoda, Alex Alves Freitas, Heitor Silvério Lopes
2011	B	`conf`	A hierarchical approach to represent relational data applied to clustering tasks. IJCNN João C. Xavier Junior, Anne M. P. Canuto, Alex Alves Freitas, Luiz M. G. Gonçalves, Carlos Nascimento Silla Jr.
2011	J	`jnl`	A hybrid data mining metaheuristic for the Stat. Anal. Data Min. Alexandre Plastino, Richard Fuchshuber, Simone L. Martins, Alex Alves Freitas, Saïd Salhi
2011	J	`jnl`	A survey of hierarchical classification across different application domains. Data Min. Knowl. Discov. Carlos Nascimento Silla Jr., Alex Alves Freitas
2011	J	`jnl`	Adapting non-hierarchical multilabel classification methods for hierarchical multilabel classification. Intell. Data Anal. Ricardo Cerri, André Carlos Ponce de Leon Ferreira de Carvalho, Alex Alves Freitas
2011	J	`jnl`	Improving Lazy Attribute Selection. J. Inf. Data Manag. Rafael B. Pereira, Alexandre Plastino, Bianca Zadrozny, Luiz Henrique de Campos Merschmann, Alex Alves Freitas
2011	J	`jnl`	Lazy attribute selection: Choosing attributes at classification time. Intell. Data Anal. Rafael B. Pereira, Alexandre Plastino, Bianca Zadrozny, Luiz Henrique de Campos Merschmann, Alex Alves Freitas
2011	J	`jnl`	Multiple pheromone types and other extensions to the Ant-Miner classification rule discovery algorithm. Swarm Intell. Khalid M. Salama, Ashraf M. Abdelbar, Alex Alves Freitas
2011	J	`jnl`	Selecting different protein representations and classification algorithms in hierarchical protein function prediction. Intell. Data Anal. Carlos Nascimento Silla Jr., Alex Alves Freitas
2011	—	`conf`	Towards the automatic design of decision tree induction algorithms. GECCO (Companion) Rodrigo C. Barros, Márcio P. Basgalupp, André Carlos Ponce de Leon Ferreira de Carvalho, Alex Alves Freitas
2010	—	`ch.`	A Review of Evolutionary Algorithms for Data Mining. Data Mining and Knowledge Discovery Handbook Alex Alves Freitas
2010	J	`jnl`	A hierarchical multi-label classification ant colony algorithm for protein function prediction. Memetic Comput. Fernando E. B. Otero, Alex Alves Freitas, Colin G. Johnson
2010	A	`conf`	An estimation of distribution algorithm for the automatic generation of clustering algorithms. GECCO Aruanda Simões Goncalves Meiguins, Alex Alves Freitas, Roberto Célio Limão de Oliveira, Samuel F. S. Junior, Bianchi Serique Meiguins
2010	—	`ch.`	Creating Rule Ensembles from Automatically-Evolved Rule Induction Algorithms. Advances in Machine Learning I Gisele L. Pappa, Alex Alves Freitas
2010	Misc	`conf`	Evolutionary model tree induction. SAC Rodrigo C. Barros, Márcio P. Basgalupp, Duncan D. Ruiz, André Carlos Ponce de Leon Ferreira de Carvalho, Alex Alves Freitas
2010	J	`jnl`	Hierarchical classification of G-Protein-Coupled Receptors with data-driven selection of attributes and classifiers. Int. J. Data Min. Bioinform. Andrew Secker, Matthew N. Davies, Alex Alves Freitas, Edward Clark, Jonathan Timmis, Darren R. Flower
2010	B	`conf`	Knowledge discovery with Artificial Immune Systems for hierarchical multi-label classification of protein functions. FUZZ-IEEE Roberto Teixeira Alves, Miguel R. Delgado, Alex Alves Freitas
2010	J	`jnl`	Learning hybridization strategies in evolutionary algorithms. Intell. Data Anal. Antonio LaTorre, José María Peña Sánchez, Santiago Muelas, Alex Alves Freitas
2010	J	`jnl`	On the Importance of Comprehensible Classification Models for Protein Function Prediction. IEEE ACM Trans. Comput. Biol. Bioinform. Alex Alves Freitas, Daniela Wieser, Rolf Apweiler
2010	Misc	`conf`	Web log data clustering for a multi-agent recommendation system. ICMLC João Carlos Xavier Jr., Alex Alves Freitas, Anne M. P. Canuto, Luiz Marcos Gonçalves
2009	A*	`conf`	A Global-Model Naive Bayes Approach to the Hierarchical Prediction of Protein Functions. ICDM Carlos Nascimento Silla Jr., Alex Alves Freitas
2009	—	`conf`	A Hierarchical Classification Ant Colony Algorithm for Predicting Gene Ontology Terms. EvoBIO Fernando E. B. Otero, Alex Alves Freitas, Colin G. Johnson
2009	A	`conf`	A Hybrid Data Mining Metaheuristic for the p-Median Problem. SDM Alexandre Plastino, Erick R. Fonseca, Richard Fuchshuber, Simone L. Martins, Alex Alves Freitas, Martino Luis, Saïd Salhi
2009	B	`conf`	A Hybrid Evolutionary Approach for the Protein Classification Problem. ICCCI Denise Fukumi Tsunoda, Heitor S. Lopes, Alex Alves Freitas
2009	J	`jnl`	A Survey of Evolutionary Algorithms for Clustering. IEEE Trans. Syst. Man Cybern. Part C Eduardo R. Hruschka, Ricardo José Gabrielli Barreto Campello, Alex Alves Freitas, André Carlos Ponce de Leon Ferreira de Carvalho
2009	—	`ch.`	A Tutorial on Multi-label Classification Techniques. Foundations of Computational Intelligence (5) André Carlos Ponce de Leon Ferreira de Carvalho, Alex Alves Freitas
2009	J	`jnl`	An Artificial Immune System for Clustering Amino Acids in the Context of Protein Function Classification. J. Math. Model. Algorithms Andrew Secker, Matthew N. Davies, Alex Alves Freitas, Jonathan Timmis, Edward Clark, Darren R. Flower
2009	—	`ch.`	An Empirical Evaluation of the Effectiveness of Different Types of Predictor Attributes in Protein Function Prediction. Foundations of Computational Intelligence (5) Fernando E. B. Otero, Marc Segond, Alex Alves Freitas, Colin G. Johnson, Denis Robilliard, Cyril Fonlupt
2009	J	`jnl`	Automatically evolving rule induction algorithms tailored to the prediction of postsynaptic activity in proteins. Intell. Data Anal. Gisele L. Pappa, Alex Alves Freitas
2009	J	`jnl`	Evolving rule induction algorithms with multi-objective grammar-based genetic programming. Knowl. Inf. Syst. Gisele L. Pappa, Alex Alves Freitas
2009	—	`ch.`	Genetic Programming for Automatically Constructing Data Mining Algorithms. Encyclopedia of Data Warehousing and Mining Alex Alves Freitas, Gisele L. Pappa
2009	C	`conf`	Handling continuous attributes in Ant Colony Classification algorithms. CIDM Fernando E. B. Otero, Alex Alves Freitas, Colin G. Johnson
2009	J	`jnl`	Hierarchical classification of protein function with ensembles of rules and particle swarm optimisation. Soft Comput. Nicholas Holden, Alex Alves Freitas
2009	Misc	`conf`	LEGAL-tree: a lexicographic multi-objective genetic algorithm for decision tree induction. SAC Márcio P. Basgalupp, Rodrigo C. Barros, André Carlos Ponce de Leon Ferreira de Carvalho, Alex Alves Freitas, Duncan D. Ruiz
2009	J	`jnl`	Lexicographic multi-objective evolutionary induction of decision trees. Int. J. Bio Inspired Comput. Márcio P. Basgalupp, André Carlos Ponce de Leon Ferreira de Carvalho, Rodrigo C. Barros, Duncan D. Ruiz, Alex Alves Freitas
2009	C	`conf`	MAHATMA: A Genetic Programming-Based Tool for Protein Classification. ISDA Denise Fukumi Tsunoda, Alex Alves Freitas, Heitor S. Lopes
2009	B	`conf`	Novel Top-Down Approaches for Hierarchical Classification and Their Application to Automatic Music Genre Classification. SMC Carlos Nascimento Silla Jr., Alex Alves Freitas
2008	—	`ch.`	A Review of evolutionary Algorithms for Data Mining. Soft Computing for Knowledge Discovery and Data Mining Alex Alves Freitas
2008	J	`jnl`	AISIID: An artificial immune system for interesting information discovery on the web. Appl. Soft Comput. Andrew Secker, Alex Alves Freitas, Jon Timmis
2008	—	`conf`	An Artificial Immune System for Evolving Amino Acid Clusters Tailored to Protein Function Prediction. ICARIS Andrew Secker, Matthew N. Davies, Alex Alves Freitas, Jonathan Timmis, Edward Clark, Darren R. Flower
2008	—	`ch.`	Artificial Immune Systems in Bioinformatics. Computational Intelligence in Biomedicine and Bioinformatics Vitoantonio Bevilacqua, Filippo Menolascina, Roberto Teixeira Alves, Stefania Tommasi, Giuseppe Mastronardi, Myriam Regattieri Delgado, Angelo Paradiso, Giuseppe Nicosia, Alex Alves Freitas
2008	—	`ch.`	Discovering New Rule Induction Algorithms with Grammar-based Genetic Programming. Soft Computing for Knowledge Discovery and Data Mining Gisele L. Pappa, Alex Alves Freitas
2008	J	`jnl`	Fuzzy rule induction and artificial immune systems in female breast cancer familiarity profiling. Int. J. Hybrid Intell. Syst. Filippo Menolascina, Roberto Teixeira Alves, Stefania Tommasi, Patrizia Chiarappa, Myriam Regattieri Delgado, Vitoantonio Bevilacqua, Giuseppe Mastronardi, Alex Alves Freitas, Angelo Paradiso
2008	—	`conf`	Improving the Performance of Hierarchical Classification with Swarm Intelligence. EvoBIO Nicholas Holden, Alex Alves Freitas
2008	J	`jnl`	Message-passing algorithms for the prediction of protein domain interactions from protein-protein interaction data. Bioinform. Mudassar Iqbal, Alex Alves Freitas, Colin G. Johnson, Massimo Vergassola
2008	—	`conf`	Multi-label Hierarchical Classification of Protein Functions with Artificial Immune Systems. BSB Roberto Teixeira Alves, Myriam Regattieri Delgado, Alex Alves Freitas
2008	J	`jnl`	Optimizing amino acid groupings for GPCR classification. Bioinform. Matthew N. Davies, Andrew Secker, Alex Alves Freitas, Edward Clark, Jonathan Timmis, Darren R. Flower
2008	—	`conf`	Protein Interaction Inference Using Particle Swarm Optimization Algorithm. EvoBIO Mudassar Iqbal, Alex Alves Freitas, Colin G. Johnson
2008	—	`conf`	Top-Down Hierarchical Ensembles of Classifiers for Predicting G-Protein-Coupled-Receptor Functions. BSB Eduardo P. Costa, Ana Carolina Lorena, André C. P. L. F. de Carvalho, Alex Alves Freitas
2008	—	`conf`	cAnt-Miner: An Ant Colony Classification Algorithm to Cope with Continuous Attributes. ANTS Conference Fernando E. B. Otero, Alex Alves Freitas, Colin G. Johnson
2007	—	`conf`	A hybrid PSO/ACO algorithm for classification. GECCO (Companion) Nicholas Holden, Alex Alves Freitas
2007	—	`conf`	Comparing Several Approaches for Hierarchical Classification of Proteins with Decision Trees. BSB Eduardo P. Costa, Ana Carolina Lorena, André Carlos Ponce de Leon Ferreira de Carvalho, Alex Alves Freitas, Nicholas Holden
2007	—	`conf`	EDACluster: An Evolucionary Density and Grid-Based Clustering Algorithm. SBBD César S. de Oliveira, Aruanda Simões Goncalves Meiguins, Bianchi Serique Meiguins, Paulo Igor Alves Godinho, Alex Alves Freitas
2007	C	`conf`	EDACluster: an Evolutionary Density and Grid-Based Clustering Algorithm. ISDA César S. de Oliveira, Paulo Igor Alves Godinho, Aruanda Simões Goncalves Meiguins, Bianchi Serique Meiguins, Alex Alves Freitas
2007	—	`conf`	Fuzzy Rule Induction and Artificial Immune Systems in Female Breast Cancer Familiarity Profiling. KES (3) Filippo Menolascina, Roberto Teixeira Alves, Stefania Tommasi, Patrizia Chiarappa, Myriam Regattieri Delgado, Vitoantonio Bevilacqua, Giuseppe Mastronardi, Alex Alves Freitas, Angelo Paradiso
2007	A	`conf`	Induction of fuzzy rules with artificial immune systems in acgh based er status breast cancer characterization. GECCO Filippo Menolascina, Roberto Teixeira Alves, Stefania Tommasi, Patrizia Chiarappa, Myriam Regattieri Delgado, Giuseppe Mastronardi, Angelo Paradiso, Alex Alves Freitas, Vitoantonio Bevilacqua
2007	J	`jnl`	On the hierarchical classification of G protein-coupled receptors. Bioinform. Matthew N. Davies, Andrew Secker, Alex Alves Freitas, Miguel Mendao, Jonathan Timmis, Darren R. Flower
2007	—	`conf`	Particle swarm and bayesian networks applied to attribute selection for protein functional classification. GECCO (Companion) Elon Santos Correa, Alex Alves Freitas, Colin G. Johnson
2007	J	`jnl`	Revisiting the Foundations of Artificial Immune Systems for Data Mining. IEEE Trans. Evol. Comput. Alex Alves Freitas, Jonathan Timmis
2007	B	`conf`	WAIRS: improving classification accuracy by weighting attributes in the AIRS classifier. IEEE Congress on Evolutionary Computation Andrew Secker, Alex Alves Freitas
2006	A	`conf`	A new ant colony algorithm for multi-label classification with applications in bioinfomatics. GECCO Allen Chan, Alex Alves Freitas
2006	A	`conf`	A new discrete particle swarm algorithm applied to attribute selection in a bioinformatics data set. GECCO Elon Santos Correa, Alex Alves Freitas, Colin G. Johnson
2006	A	`conf`	A new version of the ant-miner algorithm discovering unordered rule sets. GECCO James Smaldon, Alex Alves Freitas
2006	—	`conf`	Automatically Evolving Rule Induction Algorithms. ECML Gisele L. Pappa, Alex Alves Freitas
2006	J	`jnl`	Discovering Surprising Instances of Simpson's Paradox in Hierarchical Multidimensional Data. Int. J. Data Warehous. Min. Carem C. Fabris, Alex Alves Freitas
2006	—	`conf`	Estimating Photometric Redshifts Using Genetic Algorithms. SGAI Conf. (Applications) Nicholas Miles, Alex Alves Freitas, Stephen Serjeant
2006	A	`conf`	Estimating photometric redshifts with genetic algorithms. GECCO Nick Miles, Alex Alves Freitas, Stephen Serjeant
2006	—	`conf`	Improving the Interpretability of Classification Rules in Sparse Bioinformatics Datasets. SGAI Conf. James Smaldon, Alex Alves Freitas
2006	—	`conf`	The Integration of Heterogeneous Biological Data using Bayesian Networks. SGAI Conf. (Applications) Ken Mcflarry, Nick Morris, Alex Alves Freitas
2005	—	`conf`	A New Classification-Rule Pruning Procedure for an Ant Colony Algorithm. Artificial Evolution Allen Chan, Alex Alves Freitas
2005	—	`conf`	A hybrid particle swarm/ant colony algorithm for the classification of hierarchical biological data. SIS Nicholas Holden, Alex Alves Freitas
2005	—	`ed.`	Advances in Artificial Life, 8th European Conference, ECAL 2005, Canterbury, UK, September 5-9, 2005, Proceedings ECAL Mathieu S. Capcarrère, Alex Alves Freitas, Peter J. Bentley, Colin G. Johnson, Jon Timmis
2005	—	`conf`	An Evolutionary Approach for Motif Discovery and Transmembrane Protein Classification. EvoWorkshops Denise Fukumi Tsunoda, Heitor Silvério Lopes, Alex Alves Freitas
2005	—	`ch.`	Classification-Rule Discovery with an Ant Colony Algorithm. Encyclopedia of Information Science and Technology (I) Rafael S. Parpinelli, Heitor Silvério Lopes, Alex Alves Freitas
2005	J	`jnl`	Evaluating Six Candidate Solutions for the Small-Disjunct Problem and Choosing the Best Solution via Meta-Learning. Artif. Intell. Rev. Deborah R. Carvalho, Alex Alves Freitas
2005	—	`conf`	Evaluating the Correlation Between Objective Rule Interestingness Measures and Real Human Interest. PKDD Deborah R. Carvalho, Alex Alves Freitas, Nelson F. F. Ebecken
2005	—	`ch.`	Evolutionary Algorithms for Data Mining. The Data Mining and Knowledge Discovery Handbook Alex Alves Freitas
2005	—	`conf`	Predicting post-synaptic activity in proteins with data mining. ECCB/JBI Gisele L. Pappa, Anthony J. Baines, Alex Alves Freitas
2005	—	`conf`	Using Genetic Algorithms to Mine Interesting Dependence Modeling Rules. Databases and Applications Aruanda Simões Gonçalves, Alex Alves Freitas, Rodrigo Kato, Roberto Célio Limão de Oliveira
2004	J	`jnl`	A Genetic Algorithm for Solving a Capacitated Numer. Algorithms Elon Santos Correa, Maria Teresinha Arns Steiner, Alex Alves Freitas, Celso Carnieri
2004	J	`jnl`	A constrained-syntax genetic programming system for discovering classification rules: application to medical data sets. Artif. Intell. Medicine Celia C. Bojarczuk, Heitor S. Lopes, Alex Alves Freitas, Edson L. Michalkiewicz
2004	J	`jnl`	A critical review of multi-objective optimization in data mining: a position paper. SIGKDD Explor. Alex Alves Freitas
2004	J	`jnl`	A hybrid decision tree/genetic algorithm method for data mining. Inf. Sci. Deborah R. Carvalho, Alex Alves Freitas
2004	A	`conf`	An Artificial Immune System for Fuzzy-Rule Induction in Data Mining. PPSN Roberto Teixeira Alves, Myriam Regattieri Delgado, Heitor S. Lopes, Alex Alves Freitas
2004	—	`conf`	Automatic Text Summarization with Genetic Algorithm-Based Attribute Selection. IBERAMIA Carlos Nascimento Silla Jr., Gisele L. Pappa, Alex Alves Freitas, Celso A. A. Kaestner
2004	J	`jnl`	Discovering interesting knowledge from a science and technology database with a genetic algorithm. Appl. Soft Comput. Wesley Romão, Alex Alves Freitas, Itana Maria de Souza Gimenes
2004	A	`conf`	Web Page Classification with an Ant Colony Algorithm. PPSN Nicholas Holden, Alex Alves Freitas
2003	—	`conf`	A Danger Theory Inspired Approach to Web Mining. ICARIS Andrew Secker, Alex Alves Freitas, Jon Timmis
2003	B	`conf`	AISEC: an artificial immune system for e-mail classification. IEEE Congress on Evolutionary Computation Andrew Secker, Alex Alves Freitas, Jon Timmis
2003	B	`conf`	An Innovative Application of a Constrained-Syntax Genetic Programming System to the Problem of Predicting Survival of Patients. EuroGP Celia C. Bojarczuk, Heitor S. Lopes, Alex Alves Freitas
2003	B	`conf`	Genetic Programming for Attribute Construction in Data Mining. EuroGP Fernando E. B. Otero, Monique M. S. Silva, Alex Alves Freitas, Júlio C. Nievola
2003	J	`jnl`	Guest editorial data mining and knowledge discovery with evolutionary algorithms. IEEE Trans. Evol. Comput. Ashish Ghosh, Alex Alves Freitas
2003	—	`conf`	Revisiting the Foundations of Artificial Immune Systems: A Problem-Oriented Perspective. ICARIS Alex Alves Freitas, Jon Timmis
2002	A	`conf`	A Genetic Algorithm For Discovering Interesting Fuzzy Prediction Rules: Applications To Science And Technology Data. GECCO Wesley Romão, Alex Alves Freitas, Roberto C. S. Pacheco
2002	A	`conf`	A Genetic Algorithm With Sequential Niching For Discovering Small-disjunct Rules. GECCO Deborah R. Carvalho, Alex Alves Freitas
2002	J	`jnl`	A genetic-algorithm for discovering small-disjunct rules in data mining. Appl. Soft Comput. Deborah R. Carvalho, Alex Alves Freitas
2002	—	`conf`	Attribute Selection with a Multi-objective Genetic Algorithm. SBIA Gisele L. Pappa, Alex Alves Freitas, Celso A. A. Kaestner
2002	—	`conf`	Automatic Text Summarization Using a Machine Learning Approach. SBIA Joel Larocca Neto, Alex Alves Freitas, Celso A. A. Kaestner
2002	—	`conf`	Constructing X-of-N Attributes with a Genetic Algorithm. GECCO Late Breaking Papers Otavio Larsen, Alex Alves Freitas, Júlio C. Nievola
2002	A	`conf`	Constructing X-of-n Attributes With A Genetic Algorithm. GECCO Otavio Larsen, Alex Alves Freitas, Júlio C. Nievola
2002	J	`jnl`	Data mining with an ant colony optimization algorithm. IEEE Trans. Evol. Comput. Rafael S. Parpinelli, Heitor S. Lopes, Alex Alves Freitas
2002	B	`conf`	Devising adaptive migration policies for cooperative distributed genetic algorithms. SMC Edgar Noda, André L. V. Coelho, Ivan L. M. Ricarte, Akebo Yamakami, Alex Alves Freitas
2002	A	`conf`	Genetic Programming For Attribute Construction In Data Mining. GECCO Fernando E. B. Otero, Monique M. S. Silva, Alex Alves Freitas
2002	—	`conf`	Genetic Programming for Attribute Construction in Data Mining. GECCO Late Breaking Papers Fernando E. B. Otero, Monique M. S. Silva, Alex Alves Freitas
2002	—	`conf`	Mining Comprehensible Rules from Data with an Ant Colony Algorithm. SBIA Rafael S. Parpinelli, Heitor S. Lopes, Alex Alves Freitas
2001	J	`jnl`	Book Review: Data Mining Using Grammar-Based Genetic Programming and Applications. Genet. Program. Evolvable Mach. Alex Alves Freitas
2001	—	`conf`	Discovering Fuzzy Classification Rules with Genetic Programming and Co-evolution. PKDD Roberto R. F. Mendes, Fabricio de B. Voznika, Alex Alves Freitas, Júlio C. Nievola
2001	—	`conf`	Incorporating Deviation-Detection Functionality into the OLAP Paradigm. SBBD Carem C. Fabris, Alex Alves Freitas
2001	J	`jnl`	Understanding the Crucial Role of Attribute Interaction in Data Mining. Artif. Intell. Rev. Alex Alves Freitas
2000	—	`conf`	A Genetic Algorithm-Based Solution for the Problem of Small Disjuncts. PKDD Deborah R. Carvalho, Alex Alves Freitas
2000	A	`conf`	A hybrid decision tree/genetic algorithm for coping with the problem of small disjuncts in data mining. GECCO Deborah R. Carvalho, Alex Alves Freitas
2000	A	`conf`	Comparing a Genetic Algorithm with a Rule Induction Algorithm in the Data Mining Task of Dependence Modeling. GECCO Edgar Noda, Alex Alves Freitas, Heitor S. Lopes
2000	B	`conf`	Discovering comprehensible classification rules with a genetic algorithm. CEC M. V. Fidelis, Heitor S. Lopes, Alex Alves Freitas
2000	—	`conf`	Generating Text Summaries through the Relative Importance of Topics. IBERAMIA-SBIA Joel Larocca Neto, Alexandre Denes Santos, Celso A. A. Kaestner, Alex Alves Freitas
2000	J	`jnl`	Reports on the AAAI 1999 Workshop Program. AI Mag. Brian Drabble, Laurent Chaudron, Catherine Tessier, Sue Abu-Hakima, Steven Willmott, Jim Austin, Boi Faltings, Eugene C. Freuder, Gerhard Friedrich, Alex Alves Freitas, Ulises Cortés, Miquel Sànchez-Marrè, David W. Aha, Irma Becerra-Fernandez, Héctor Muñoz-Avila, Aditya Ghose, Tim Menzies, Ken Satoh, Mary Elaine Califf, Michael T. Cox, Sandip Sen, Patrick Brézillon, Jean-Charles Pomerol, Roy M. Turner, Elise H. Turner
2000	J	`jnl`	Understanding the Crucial Differences Between Classification and Discovery of Association Rules - A Position Paper. SIGKDD Explor. Alex Alves Freitas
1999	—	`conf`	A Fuzzy Beam-Search Rule Induction Algorithm. PKDD Christina S. Fertig, Alex Alves Freitas, Lúcia V. R. Arruda, Celso A. A. Kaestner
1999	A	`conf`	Discovering comprehensible classification rules by using Genetic Programming: a case study in a medical domain. GECCO Celia C. Bojarczuk, Heitor S. Lopes, Alex Alves Freitas
1999	J	`jnl`	Interfacing knowledge discovery algorithms to large database management systems. Inf. Softw. Technol. Simon H. Lavington, Neil Dewhurst, Elwood Wilkins, Alex Alves Freitas
1999	J	`jnl`	On rule interestingness measures. Knowl. Based Syst. Alex Alves Freitas
1998	—	`book`	Mining very large databases with parallel processing. Alex Alves Freitas, Simon H. Lavington
1998	—	`conf`	On Objective Measures of Rule Surprisingness. PKDD Alex Alves Freitas
1998	—	`conf`	Scalable, High-Performance Data Mining with Parallel Processing. PKDD Alex Alves Freitas
1997	—	`conf`	The Pronciple of Transformation between Efficiency and Effectiveness: Towards a Fair Evaluation of the Cost-Effectiveness of KDD Techniques. PKDD Alex Alves Freitas
1997	—	`conf`	Towards Large-Scale Knowledge Discovery in Databases (KDD) by Exploiting Parallelism in Generic KDD Primitives. NGITS Alex Alves Freitas
1996	—	`conf`	Parallel Data Mining for Very Large Relational Databases. HPCN Europe Alex Alves Freitas, Simon H. Lavington
1996	—	`conf`	Speeding up Knowledge Discovery in Large Relational Databases by Means of a New Discretization Algorithm. BNCOD Alex Alves Freitas, Simon H. Lavington