Google
Google Scholar
Semantic Scholar
MS Academic
CiteSeerX
ORCIDAlex Alves Freitas
Person information
- affiliation: University of Kent, UK
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2020
[j77]Pablo Nascimento da Silva
, Alexandre Plastino, Alex Alves Freitas:
Prioritizing positive feature values: a new hierarchical feature selection method. Appl. Intell. 50(12): 4412-4433 (2020)- [j76]Alex Alves Freitas:
Investigating the role of Simpson's paradox in the analysis of top-ranked features in high-dimensional bioinformatics datasets. Briefings Bioinform. 21(2): 421-428 (2020) - [j75]Fabio Fabris, Daniel Palmer, João Pedro de Magalhães, Alex Alves Freitas:
Comparing enrichment analysis and machine learning for identifying gene properties that discriminate between gene classes. Briefings Bioinform. 21(3): 803-814 (2020) - [j74]Fabio Fabris, Daniel Palmer, Khalid M. Salama, João Pedro de Magalhães, Alex Alves Freitas:
Using deep learning to associate human genes with age-related diseases. Bioinform. 36(7): 2202-2208 (2020) - [j73]João Carlos Xavier Junior, Alex Alves Freitas, Teresa Bernarda Ludermir, Antonino Feitosa Neto, Cephas A. S. Barreto:
An evolutionary algorithm for automated machine learning focusing on classifier ensembles: An improved algorithm and extended results. Theor. Comput. Sci. 805: 1-18 (2020) - [c120]Henry E. L. Cagnini, Alex Alves Freitas, Rodrigo C. Barros:
An Evolutionary Algorithm for Learning Interpretable Ensembles of Classifiers. BRACIS 2020: 18-33 - [c119]Alex Guimarães Cardoso de Sá, Cristiano Guimarães Pimenta, Gisele Lobo Pappa, Alex Alves Freitas:
A robust experimental evaluation of automated multi-label classification methods. GECCO 2020: 175-183 - [c118]Caio Eduardo Ribeiro, Alex Alves Freitas:
A New Random Forest Method for Longitudinal Data Classification Using a Lexicographic Bi-Objective Approach. SSCI 2020: 806-813 - [i4]Alex Guimarães Cardoso de Sá, Cristiano Guimarães Pimenta, Gisele L. Pappa, Alex Alves Freitas:
A Robust Experimental Evaluation of Automated Multi-Label Classification Methods. CoRR abs/2005.08083 (2020) - [i3]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:
An Extensive Experimental Evaluation of Automated Machine Learning Methods for Recommending Classification Algorithms (Extended Version). CoRR abs/2009.07430 (2020)
2010 – 2019
- 2019
- [j72]Sam Cramer, Michael Kampouridis, Alex Alves Freitas, Antonis Alexandridis:
Stochastic model genetic programming: Deriving pricing equations for rainfall weather derivatives. Swarm Evol. Comput. 46: 184-200 (2019) - [c117]Alex Alves Freitas:
Automated Machine Learning for Studying the Trade-Off Between Predictive Accuracy and Interpretability. CD-MAKE 2019: 48-66 - [c116]Fabio Fabris, Alex Alves Freitas:
Analysing the Overfit of the Auto-sklearn Automated Machine Learning Tool. LOD 2019: 508-520 - [c115]Sergey Ovchinnik, Fernando E. B. Otero, Alex Alves Freitas:
Monotonicity Detection and Enforcement in Longitudinal Classification. SGAI Conf. 2019: 63-77 - 2018
- [j71]Cen Wan, Alex Alves Freitas:
An empirical evaluation of hierarchical feature selection methods for classification in bioinformatics datasets with gene ontology-based features. Artif. Intell. Rev. 50(2): 201-240 (2018) - [j70]Sam Cramer, Michael Kampouridis, Alex Alves Freitas:
Decomposition genetic programming: An extensive evaluation on rainfall prediction in the context of weather derivatives. Appl. Soft Comput. 70: 208-224 (2018) - [j69]Fabio Fabris, Aoife Doherty, Daniel Palmer, João Pedro de Magalhães, Alex Alves Freitas:
A new approach for interpreting Random Forest models and its application to the biology of ageing. Bioinform. 34(14): 2449-2456 (2018) - [j68]Lariza Laura de Oliveira, Alex Alves Freitas, Renato Tinós:
Multi-objective genetic algorithms in the study of the genetic code's adaptability. Inf. Sci. 425: 48-61 (2018) - [c114]Enrico S. Miranda, Fabio Fabris, Chrystian G. M. Nascimento, Alex Alves Freitas, Alexandre C. M. Oliveira:
Meta-Learning for Recommending Metaheuristics for the MaxSAT Problem. BRACIS 2018: 169-174 - [c113]João C. Xavier Junior, Alex Alves Freitas, Antonino Feitosa Neto, Teresa Bernarda Ludermir:
A Novel Evolutionary Algorithm for Automated Machine Learning Focusing on Classifier Ensembles. BRACIS 2018: 462-467 - [c112]Eduardo Corrêa Gonçalves, Alex Alves Freitas, Alexandre Plastino:
A Survey of Genetic Algorithms for Multi-Label Classification. CEC 2018: 1-8 - [c111]Alex Guimarães Cardoso de Sá, Alex Alves Freitas, Gisele L. Pappa:
Automated Selection and Configuration of Multi-Label Classification Algorithms with Grammar-Based Genetic Programming. PPSN (2) 2018: 308-320 - [c110]Pablo Nascimento da Silva, Alexandre Plastino, Alex Alves Freitas:
A Novel Genetic Algorithm for Feature Selection in Hierarchical Feature Spaces. SDM 2018: 738-746 - [i2]Alex Guimarães Cardoso de Sá, Alex Alves Freitas, Gisele L. Pappa:
Multi-label classification search space in the MEKA software. CoRR abs/1811.11353 (2018) - 2017
- [j67]Sam Cramer, Michael Kampouridis, Alex Alves Freitas, Antonis K. Alexandridis:
An extensive evaluation of seven machine learning methods for rainfall prediction in weather derivatives. Expert Syst. Appl. 85: 169-181 (2017) - [j66]Khalid M. Salama, Ashraf M. Abdelbar, Ayah M. Helal, Alex Alves Freitas:
Instance-based classification with Ant Colony Optimization. Intell. Data Anal. 21(4): 913-944 (2017) - [j65]Caio Eduardo Ribeiro, Luis Henrique S. Brito, Cristiane Neri Nobre, Alex Alves Freitas, Luis Enrique Zárate:
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. 7(3) (2017) - [c109]Sam Cramer, Michael Kampouridis, Alex Alves Freitas, Antonis K. Alexandridis:
Pricing Rainfall Based Futures Using Genetic Programming. EvoApplications (1) 2017: 17-33 - [c108]Alex Guimarães Cardoso de Sá, Gisele L. Pappa, Alex Alves Freitas:
Towards a method for automatically selecting and configuring multi-label classification algorithms. GECCO (Companion) 2017: 1125-1132 - [c107]Tossapol Pomsuwan, Alex Alves Freitas:
Feature Selection for the Classification of Longitudinal Human Ageing Data. ICDM Workshops 2017: 739-746 - 2016
- [j64]Fabio Fabris, Alex Alves Freitas:
New KEGG pathway-based interpretable features for classifying ageing-related mouse proteins. Bioinform. 32(19): 2988-2995 (2016) - [j63]Fernando E. B. Otero, Alex Alves Freitas:
Improving the Interpretability of Classification Rules Discovered by an Ant Colony Algorithm: Extended Results. Evol. Comput. 24(3): 385-409 (2016) - [j62]Natália Aniceto, Alex Alves Freitas, Andreas Bender, Taravat Ghafourian:
A novel applicability domain technique for mapping predictive reliability across the chemical space of a QSAR: reliability-density neighbourhood. J. Cheminformatics 8(1): 69:1-69:20 (2016) - [j61]Fabio Fabris, Alex Alves Freitas, Jennifer M. A. Tullet:
An Extensive Empirical Comparison of Probabilistic Hierarchical Classifiers in Datasets of Ageing-Related Genes. IEEE ACM Trans. Comput. Biol. Bioinform. 13(6): 1045-1058 (2016) - [c106]Sam Cramer, Michael Kampouridis, Alex Alves Freitas:
Feature engineering for improving financial derivatives-based rainfall prediction. CEC 2016: 3483-3490 - [c105]Sam Cramer, Michael Kampouridis, Alex Alves Freitas:
A Genetic Decomposition Algorithm for Predicting Rainfall within Financial Weather Derivatives. GECCO 2016: 885-892 - [i1]Cen Wan, Alex Alves Freitas:
A New Hierarchical Redundancy Eliminated Tree Augmented Naive Bayes Classifier for Coping with Gene Ontology-based Features. CoRR abs/1607.01690 (2016) - 2015
- [b2]Rodrigo C. Barros, André C. P. L. F. de Carvalho, Alex Alves Freitas:
Automatic Design of Decision-Tree Induction Algorithms. Springer Briefs in Computer Science, Springer 2015, ISBN 978-3-319-14230-2, pp. 1-176 - [j60]Ricardo Cerri, Gisele L. Pappa, André Carlos Ponce de Leon Ferreira de Carvalho, Alex Alves Freitas:
An Extensive Evaluation of Decision Tree-Based Hierarchical Multilabel Classification Methods and Performance Measures. Comput. Intell. 31(1): 1-46 (2015) - [j59]Khalid M. Salama, Alex Alves Freitas:
Ant colony algorithms for constructing Bayesian multi-net classifiers. Intell. Data Anal. 19(2): 233-257 (2015) - [j58]Alex Alves Freitas, Kriti Limbu, Taravat Ghafourian:
Predicting volume of distribution with decision tree-based regression methods using predicted tissue: plasma partition coefficients. J. Cheminformatics 7: 6 (2015) - [j57]Cen Wan, Alex Alves Freitas, João Pedro de Magalhães:
Predicting the Pro-Longevity or Anti-Longevity Effect of Model Organism Genes with New Hierarchical Feature Selection Methods. IEEE ACM Trans. Comput. Biol. Bioinform. 12(2): 262-275 (2015) - [c104]Cen Wan, Alex Alves Freitas:
Two methods for constructing a gene ontology-based feature network for a Bayesian network classifier and applications to datasets of aging-related genes. BCB 2015: 27-36 - [c103]Júlio César Nievola, Emerson Cabrera Paraiso, Alex Alves Freitas:
A hierarchical neural network for predicting protein functions. BIBE 2015: 1-5 - [c102]Suwimol Jungjit, Alex Alves Freitas:
A new genetic algorithm for multi-label correlation-based feature selection. ESANN 2015 - [c101]Eduardo Corrêa Gonçalves, Alexandre Plastino, Alex Alves Freitas:
Simpler is Better: a Novel Genetic Algorithm to Induce Compact Multi-label Chain Classifiers. GECCO 2015: 559-566 - [c100]Suwimol Jungjit, Alex Alves Freitas:
A Lexicographic Multi-Objective Genetic Algorithm for Multi-Label Correlation Based Feature Selection. GECCO (Companion) 2015: 989-996 - [c99]Fabio Fabris, Alex Alves Freitas:
A Novel Extended Hierarchical Dependence Network Method Based on Non-hierarchical Predictive Classes and Applications to Ageing-Related Data. ICTAI 2015: 294-301 - [c98]Sam Cramer, Michael Kampouridis, Alex Alves Freitas, Antonis Alexandridis:
Predicting Rainfall in the Context of Rainfall Derivatives Using Genetic Programming. SSCI 2015: 711-718 - 2014
- [j56]Gisele L. Pappa, Gabriela Ochoa, Matthew R. Hyde, Alex Alves Freitas, John R. Woodward, Jerry Swan:
Contrasting meta-learning and hyper-heuristic research: the role of evolutionary algorithms. Genet. Program. Evolvable Mach. 15(1): 3-35 (2014) - [j55]Márcio P. Basgalupp, Rodrigo C. Barros, André Carlos Ponce de Leon Ferreira de Carvalho, Alex Alves Freitas:
Evolving decision trees with beam search-based initialization and lexicographic multi-objective evaluation. Inf. Sci. 258: 160-181 (2014) - [j54]Bruno C. Paes, Alexandre Plastino, Alex Alves Freitas:
Exploring Attribute Selection in Hierarchical Classification. J. Inf. Data Manag. 5(1): 124-133 (2014) - [j53]Khalid M. Salama, Alex Alves Freitas:
ABC-Miner+: constructing Markov blanket classifiers with ant colony algorithms. Memetic Comput. 6(3): 183-206 (2014) - [j52]Khalid M. Salama, Alex Alves Freitas:
Classification with cluster-based Bayesian multi-nets using Ant Colony Optimisation. Swarm Evol. Comput. 18: 54-70 (2014) - [j51]Rodrigo C. Barros, Márcio P. Basgalupp, Alex Alves Freitas, André Carlos Ponce de Leon Ferreira de Carvalho:
Evolutionary Design of Decision-Tree Algorithms Tailored to Microarray Gene Expression Data Sets. IEEE Trans. Evol. Comput. 18(6): 873-892 (2014) - [c97]Suwimol Jungjit, M. Michaelis, Alex Alves Freitas, J. Cinatl:
Extending multi-label feature selection with KEGG pathway information for microarray data analysis. CIBCB 2014: 1-8 - [c96]Fabio Fabris, Alex Alves Freitas:
Dependency network methods for Hierarchical Multi-label Classification of gene functions. CIDM 2014: 241-248 - [c95]Fabio Fabris, Alex Alves Freitas:
An Efficient Algorithm for Hierarchical Classification of Protein and Gene Functions. DEXA Workshops 2014: 64-68 - [c94]Ricardo Cerri, Rodrigo C. Barros, Alex Alves Freitas, André Carlos Ponce de Leon Ferreira de Carvalho:
Evolving relational hierarchical classification rules for predicting gene ontology-based protein functions. GECCO (Companion) 2014: 1279-1286 - [c93]Pablo Nascimento da Silva, Eduardo Corrêa Gonçalves, Alexandre Plastino, Alex Alves Freitas:
Distinct Chains for Different Instances: An Effective Strategy for Multi-label Classifier Chains. ECML/PKDD (2) 2014: 453-468 - 2013
- [j50]Khalid M. Salama, Ashraf M. Abdelbar, Fernando E. B. Otero, Alex Alves Freitas:
Utilizing multiple pheromones in an ant-based algorithm for continuous-attribute classification rule discovery. Appl. Soft Comput. 13(1): 667-675 (2013) - [j49]Rodrigo C. Barros, Márcio P. Basgalupp, André Carlos Ponce de Leon Ferreira de Carvalho, Alex Alves Freitas:
Automatic Design of Decision-Tree Algorithms with Evolutionary Algorithms. Evol. Comput. 21(4): 659-684 (2013) - [j48]Danielle Newby, Alex Alves Freitas, Taravat Ghafourian:
Coping with Unbalanced Class Data Sets in Oral Absorption Models. J. Chem. Inf. Model. 53(2): 461-474 (2013) - [j47]Danielle Newby, Alex Alves Freitas, Taravat Ghafourian:
Pre-processing Feature Selection for Improved C&RT Models for Oral Absorption. J. Chem. Inf. Model. 53(10): 2730-2742 (2013) - [j46]Alex Alves Freitas:
Comprehensible classification models: a position paper. SIGKDD Explor. 15(1): 1-10 (2013) - [j45]Khalid M. Salama, Alex Alves Freitas:
Learning Bayesian network classifiers using ant colony optimization. Swarm Intell. 7(2-3): 229-254 (2013) - [j44]Fernando E. B. Otero, Alex Alves Freitas, Colin G. Johnson:
A New Sequential Covering Strategy for Inducing Classification Rules With Ant Colony Algorithms. IEEE Trans. Evol. Comput. 17(1): 64-76 (2013) - [c92]Cen Wan, Alex Alves Freitas:
Prediction of the pro-longevity or anti-longevity effect of Caenorhabditis Elegans genes based on Bayesian classification methods. BIBM 2013: 373-380 - [c91]Ricardo Cerri, Rodrigo C. Barros, André Carlos Ponce de Leon Ferreira de Carvalho, Alex Alves Freitas:
A grammatical evolution algorithm for generation of Hierarchical Multi-Label Classification rules. IEEE Congress on Evolutionary Computation 2013: 454-461 - [c90]Khalid M. Salama, Alex Alves Freitas:
Investigating the impact of various classification quality measures in the predictive accuracy of ABC-Miner. IEEE Congress on Evolutionary Computation 2013: 2321-2328 - [c89]Khalid M. Salama, Alex Alves Freitas:
Clustering-based Bayesian Multi-net Classifier construction with Ant Colony Optimization. IEEE Congress on Evolutionary Computation 2013: 3079-3086 - [c88]Luiz Henrique de Campos Merschmann, Alex Alves Freitas:
An Extended Local Hierarchical Classifier for Prediction of Protein and Gene Functions. DaWaK 2013: 159-171 - [c87]Khalid M. Salama, Alex Alves Freitas:
ACO-Based Bayesian Network Ensembles for the Hierarchical Classification of Ageing-Related Proteins. EvoBIO 2013: 80-91 - [c86]Khalid M. Salama, Alex Alves Freitas:
Evaluating the use of different measure functions in the predictive quality of ABC-miner. GECCO (Companion) 2013: 15-16 - [c85]Fernando E. B. Otero, Alex Alves Freitas:
Improving the interpretability of classification rules discovered by an ant colony algorithm. GECCO 2013: 73-80 - [c84]Eduardo Corrêa Gonçalves, Alexandre Plastino, Alex Alves Freitas:
A Genetic Algorithm for Optimizing the Label Ordering in Multi-label Classifier Chains. ICTAI 2013: 469-476 - [c83]Khalid M. Salama, Alex Alves Freitas:
Extending the ABC-Miner Bayesian Classification Algorithm. NICSO 2013: 1-12 - [c82]Rodrigo C. Barros, Ricardo Cerri, Alex Alves Freitas, André Carlos Ponce de Leon Ferreira de Carvalho:
Probabilistic Clustering for Hierarchical Multi-Label Classification of Protein Functions. ECML/PKDD (2) 2013: 385-400 - [c81]Suwimol Jungjit, M. Michaelis, Alex Alves Freitas, J. Cinatl:
Two Extensions to Multi-label Correlation-Based Feature Selection: A Case Study in Bioinformatics. SMC 2013: 1519-1524 - 2012
- [j43]Fernando E. B. Otero, Alex Alves Freitas, Colin G. Johnson:
Inducing decision trees with an ant colony optimization algorithm. Appl. Soft Comput. 12(11): 3615-3626 (2012) - [j42]Bruno C. Paes, Alexandre Plastino, Alex Alves Freitas:
Improving Local Per Level Hierarchical Classification. J. Inf. Data Manag. 3(3): 394-409 (2012) - [j41]Rodrigo Coelho Barros, Márcio Porto Basgalupp, André Carlos Ponce de Leon Ferreira de Carvalho, Alex Alves Freitas:
A Survey of Evolutionary Algorithms for Decision-Tree Induction. IEEE Trans. Syst. Man Cybern. Part C 42(3): 291-312 (2012) - [c80]Khalid M. Salama, Alex Alves Freitas:
ABC-Miner: An Ant-Based Bayesian Classification Algorithm. ANTS 2012: 13-24 - [c79]Matthew Medland, Fernando E. B. Otero, Alex Alves Freitas:
Improving the cAnt-MinerPB Classification Algorithm. ANTS 2012: 73-84 - [c78]Aruanda Simões Goncalves Meiguins, Roberto Célio Limão de Oliveira, Bianchi Serique Meiguins, Samuel F. S. Junior, Alex Alves Freitas:
AutoClustering: An estimation of distribution algorithm for the automatic generation of clustering algorithms. IEEE Congress on Evolutionary Computation 2012: 1-7 - [c77]Alberto Moraglio, Fernando E. B. Otero, Colin G. Johnson, Simon J. Thompson, Alex Alves Freitas:
Evolving recursive programs using non-recursive scaffolding. IEEE Congress on Evolutionary Computation 2012: 1-8 - [c76]Rodrigo C. Barros, Márcio P. Basgalupp, André Carlos Ponce de Leon Ferreira de Carvalho, Alex Alves Freitas:
A hyper-heuristic evolutionary algorithm for automatically designing decision-tree algorithms. GECCO 2012: 1237-1244 - [c75]Suwimol Jungjit, Alex Alves Freitas, M. Michaelis, J. Cinatl:
A Multi-Label Correlation-Based Feature Selection Method for the Classification of Neuroblastoma Microarray Data. Industrial Conference on Data Mining - Workshops 2012: 149-157 - 2011
- [j40]Carlos Nascimento Silla Jr., Alex Alves Freitas:
A survey of hierarchical classification across different application domains. Data Min. Knowl. Discov. 22(1-2): 31-72 (2011) - [j39]Rafael B. Pereira, Alexandre Plastino, Bianca Zadrozny, Luiz Henrique de Campos Merschmann, Alex Alves Freitas:
Lazy attribute selection: Choosing attributes at classification time. Intell. Data Anal. 15(5): 715-732 (2011) - [j38]Ricardo Cerri, André Carlos Ponce de Leon Ferreira de Carvalho, Alex Alves Freitas:
Adapting non-hierarchical multilabel classification methods for hierarchical multilabel classification. Intell. Data Anal. 15(6): 861-887 (2011) - [j37]Carlos Nascimento Silla Jr., Alex Alves Freitas:
Selecting different protein representations and classification algorithms in hierarchical protein function prediction. Intell. Data Anal. 15(6): 979-999 (2011) - [j36]Rafael B. Pereira, Alexandre Plastino, Bianca Zadrozny, Luiz Henrique de Campos Merschmann, Alex Alves Freitas:
Improving Lazy Attribute Selection. J. Inf. Data Manag. 2(3): 447-462 (2011) - [j35]Alexandre Plastino, Richard Fuchshuber, Simone L. Martins, Alex Alves Freitas, Saïd Salhi:
A hybrid data mining metaheuristic for the p-median problem. Stat. Anal. Data Min. 4(3): 313-335 (2011) - [j34]Denise Fukumi Tsunoda, Alex Alves Freitas, Heitor Silvério Lopes:
A genetic programming method for protein motif discovery and protein classification. Soft Comput. 15(10): 1897-1908 (2011) - [j33]Khalid M. Salama, Ashraf M. Abdelbar, Alex Alves Freitas:
Multiple pheromone types and other extensions to the Ant-Miner classification rule discovery algorithm. Swarm Intell. 5(3-4): 149-182 (2011) - [c74]Rodrigo C. Barros, Márcio P. Basgalupp, André Carlos Ponce de Leon Ferreira de Carvalho, Alex Alves Freitas:
Towards the automatic design of decision tree induction algorithms. GECCO (Companion) 2011: 567-574 - [c73]João C. Xavier Junior, Anne M. P. Canuto, Alex Alves Freitas, Luiz M. G. Gonçalves, Carlos Nascimento Silla Jr.:
A hierarchical approach to represent relational data applied to clustering tasks. IJCNN 2011: 3055-3062 - 2010
- [j32]Antonio LaTorre, José María Peña Sánchez, Santiago Muelas, Alex Alves Freitas:
Learning hybridization strategies in evolutionary algorithms. Intell. Data Anal. 14(3): 333-354 (2010) - [j31]Andrew Secker, Matthew N. Davies, Alex Alves Freitas, Edward Clark, Jonathan Timmis, Darren R. Flower:
Hierarchical classification of G-Protein-Coupled Receptors with data-driven selection of attributes and classifiers. Int. J. Data Min. Bioinform. 4(2): 191-210 (2010) - [j30]Fernando E. B. Otero, Alex Alves Freitas, Colin G. Johnson:
A hierarchical multi-label classification ant colony algorithm for protein function prediction. Memetic Comput. 2(3): 165-181 (2010) - [j29]Alex Alves Freitas, Daniela Wieser, Rolf Apweiler:
On the Importance of Comprehensible Classification Models for Protein Function Prediction. IEEE ACM Trans. Comput. Biol. Bioinform. 7(1): 172-182 (2010) - [c72]Roberto Teixeira Alves, Miguel R. Delgado, Alex Alves Freitas:
Knowledge discovery with Artificial Immune Systems for hierarchical multi-label classification of protein functions. FUZZ-IEEE 2010: 1-8 - [c71]Aruanda Simões Goncalves Meiguins, Alex Alves Freitas, Roberto Célio Limão de Oliveira, Samuel F. S. Junior, Bianchi Serique Meiguins:
An estimation of distribution algorithm for the automatic generation of clustering algorithms. GECCO 2010: 1069-1070 - [c70]João Carlos Xavier Jr., Alex Alves Freitas, Anne M. P. Canuto, Luiz Marcos Gonçalves:
Web log data clustering for a multi-agent recommendation system. ICMLC 2010: 471-476 - [c69]Rodrigo C. Barros, Márcio P. Basgalupp, Duncan D. Ruiz, André Carlos Ponce de Leon Ferreira de Carvalho, Alex Alves Freitas:
Evolutionary model tree induction. SAC 2010: 1131-1137 - [p8]Alex Alves Freitas:
A Review of Evolutionary Algorithms for Data Mining. Data Mining and Knowledge Discovery Handbook 2010: 371-400 - [p7]Gisele L. Pappa, Alex Alves Freitas:
Creating Rule Ensembles from Automatically-Evolved Rule Induction Algorithms. Advances in Machine Learning I 2010: 257-273
2000 – 2009
- 2009
- [j28]Gisele L. Pappa, Alex Alves Freitas:
Automatically evolving rule induction algorithms tailored to the prediction of postsynaptic activity in proteins. Intell. Data Anal. 13(2): 243-259 (2009) - [j27]Márcio P. Basgalupp, André Carlos Ponce de Leon Ferreira de Carvalho, Rodrigo C. Barros, Duncan D. Ruiz, Alex Alves Freitas:
Lexicographic multi-objective evolutionary induction of decision trees. Int. J. Bio Inspired Comput. 1(1/2): 105-117 (2009) - [j26]Andrew Secker, Matthew N. Davies, Alex Alves Freitas, Jonathan Timmis, Edward Clark, Darren R. Flower:
An Artificial Immune System for Clustering Amino Acids in the Context of Protein Function Classification. J. Math. Model. Algorithms 8(2): 103-123 (2009) - [j25]Gisele L. Pappa, Alex Alves Freitas:
Evolving rule induction algorithms with multi-objective grammar-based genetic programming. Knowl. Inf. Syst. 19(3): 283-309 (2009) - [j24]Nicholas Holden, Alex Alves Freitas:
Hierarchical classification of protein function with ensembles of rules and particle swarm optimisation. Soft Comput. 13(3): 259-272 (2009) - [j23]Eduardo R. Hruschka, Ricardo José Gabrielli Barreto Campello, Alex Alves Freitas, André Carlos Ponce de Leon Ferreira de Carvalho:
A Survey of Evolutionary Algorithms for Clustering. IEEE Trans. Syst. Man Cybern. Part C 39(2): 133-155 (2009) - [c68]Fernando E. B. Otero, Alex Alves Freitas, Colin G. Johnson:
Handling continuous attributes in Ant Colony Classification algorithms. CIDM 2009: 225-231 - [c67]Fernando E. B. Otero, Alex Alves Freitas, Colin G. Johnson:
A Hierarchical Classification Ant Colony Algorithm for Predicting Gene Ontology Terms. EvoBIO 2009: 68-79 - [c66]Denise Fukumi Tsunoda, Heitor S. Lopes, Alex Alves Freitas:
A Hybrid Evolutionary Approach for the Protein Classification Problem. ICCCI 2009: 629-640