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Alex Alves Freitas
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- affiliation: University of Kent, UK
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2020 – today
- 2025
- [j91]Flávio Luiz Seixas
, Elaine Rangel Seixas, Alex Alves Freitas
:
Enhancing dementia prediction models: Leveraging temporal patterns and class-balancing methods. Appl. Soft Comput. 171: 112754 (2025) - 2024
- [j90]Caio Eduardo Ribeiro, Alex Alves Freitas:
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. 57(4): 84 (2024) - [j89]Jorge Paz-Ruza
, Alex Alves Freitas
, Amparo Alonso-Betanzos
, Bertha Guijarro-Berdiñas
:
Positive-Unlabelled learning for identifying new candidate Dietary Restriction-related genes among ageing-related genes. Comput. Biol. Medicine 180: 108999 (2024) - [j88]Alex Alves Freitas:
The Case for Hybrid Multi-Objective Optimisation in High-Stakes Machine Learning Applications. SIGKDD Explor. 26(1): 24-33 (2024) - [c132]Simon Provost, Alex Alves Freitas:
Auto-Sklong: A New AutoML System for Longitudinal Classification. BIBM 2024: 3645-3650 - [c131]Tossapol Pomsuwan
, Alex Alves Freitas
:
A Genetic Algorithm-based Auto-ML System for Survival Analysis. SAC 2024: 370-377 - [i9]Jack D. Saunders
, Alex Alves Freitas:
Automated Machine Learning for Positive-Unlabelled Learning. CoRR abs/2401.06452 (2024) - [i8]Jorge Paz-Ruza, Alex Alves Freitas, Amparo Alonso-Betanzos, Bertha Guijarro-Berdiñas:
Positive-Unlabelled Learning for Identifying New Candidate Dietary Restriction-related Genes among Ageing-related Genes. CoRR abs/2406.09898 (2024) - 2023
- [j87]Lucas M. Pavelski
, Myriam Regattieri Delgado, Marie-Eléonore Kessaci
, Alex Alves Freitas
:
Stochastic local search and parameters recommendation: a case study on flowshop problems. Int. Trans. Oper. Res. 30(2): 774-799 (2023) - [j86]Henry E. L. Cagnini
, Silvia N. das Dôres, Alex Alves Freitas, Rodrigo C. Barros
:
A survey of evolutionary algorithms for supervised ensemble learning. Knowl. Eng. Rev. 38: e1 (2023) - [j85]Marcelo Rodrigues de Holanda Maia
, Alexandre Plastino
, Alex Alves Freitas
, João Pedro de Magalhães
:
Interpretable Ensembles of Classifiers for Uncertain Data With Bioinformatics Applications. IEEE ACM Trans. Comput. Biol. Bioinform. 20(3): 1829-1841 (2023) - [i7]James Brookhouse, Alex Alves Freitas:
Fair Feature Selection: A Comparison of Multi-Objective Genetic Algorithms. CoRR abs/2310.02752 (2023) - 2022
- [j84]Gustavo Daniel Vega Magdaleno, Vladislav Bespalov, Yalin Zheng, Alex Alves Freitas, João Pedro de Magalhães:
Machine learning-based predictions of dietary restriction associations across ageing-related genes. BMC Bioinform. 23(1): 10 (2022) - [j83]Yang Lu
, Shujun Li, Alex Alves Freitas, Athina Ioannou
:
How data-sharing nudges influence people's privacy preferences: A machine learning-based analysis. EAI Endorsed Trans. Security Safety 8(30): 3 (2022) - [j82]Jack D. Saunders
, Alex Alves Freitas:
Evaluating the Predictive Performance of Positive- Unlabelled Classifiers: a brief critical review and practical recommendations for improvement. SIGKDD Explor. 24(2): 5-11 (2022) - [c130]Jack D. Saunders
, Alex Alves Freitas
:
Evaluating a New Genetic Algorithm for Automated Machine Learning in Positive-Unlabelled Learning. EA 2022: 42-57 - [c129]Jack D. Saunders
, Alex Alves Freitas:
GA-auto-PU: a genetic algorithm-based automated machine learning system for positive-unlabeled learning. GECCO Companion 2022: 288-291 - [c128]Tossapol Pomsuwan, Alex Alves Freitas:
New Variations of Random Survival Forests and Applications to Age-Related Disease Data. ICHI 2022: 1-10 - [c127]James Brookhouse
, Alex Alves Freitas
:
Fair Feature Selection with a Lexicographic Multi-objective Genetic Algorithm. PPSN (2) 2022: 151-163 - [c126]Sergey Ovchinnik, Fernando E. B. Otero, Alex Alves Freitas:
Nested trees for longitudinal classification. SAC 2022: 441-444 - [i6]Cen Wan, Alex Alves Freitas:
Hierarchical Dependency Constrained Tree Augmented Naive Bayes Classifiers for Hierarchical Feature Spaces. CoRR abs/2202.04105 (2022) - [i5]Jack D. Saunders
, Alex Alves Freitas:
Evaluating the Predictive Performance of Positive-Unlabelled Classifiers: a brief critical review and practical recommendations for improvement. CoRR abs/2206.02423 (2022) - 2021
- [j81]Caio Eduardo Ribeiro, Alex Alves Freitas:
A data-driven missing value imputation approach for longitudinal datasets. Artif. Intell. Rev. 54(8): 6277-6307 (2021) - [j80]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. Evol. Intell. 14(4): 1895-1914 (2021) - [j79]Nadine M. Neumann, Alexandre Plastino
, Jony A. Pinto Junior, Alex Alves Freitas:
Is p-value $<$ 0.05 enough? A study on the statistical evaluation of classifiers. Knowl. Eng. Rev. 36: e1 (2021) - [j78]Pablo Nascimento da Silva
, Alexandre Plastino
, Fabio Fabris, Alex Alves Freitas:
A Novel Feature Selection Method for Uncertain Features: An Application to the Prediction of Pro-/Anti-Longevity Genes. IEEE ACM Trans. Comput. Biol. Bioinform. 18(6): 2230-2238 (2021) - [c125]Marcelo Rodrigues de Holanda Maia
, Alexandre Plastino, Alex Alves Freitas
:
An Ensemble of Naive Bayes Classifiers for Uncertain Categorical Data. ICDM 2021: 1222-1227 - [c124]Caio Eduardo Ribeiro, Alex Alves Freitas
:
Constructed Temporal Features for Longitudinal Classification of Human Ageing Data. ICHI 2021: 106-112 - 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) - [c123]Henry E. L. Cagnini
, Alex Alves Freitas
, Rodrigo C. Barros
:
An Evolutionary Algorithm for Learning Interpretable Ensembles of Classifiers. BRACIS 2020: 18-33 - [c122]Tossapol Pomsuwan, Alex Alves Freitas:
Adapting Random Forests to Cope with Heavily Censored Datasets in Survival Analysis. ESANN 2020: 697-702 - [c121]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 - [c120]Cen Wan, Alex Alves Freitas:
Hierarchical Dependency Constrained Averaged One-Dependence Estimators Classifiers for Hierarchical Feature Spaces. PGM 2020: 557-568 - [c119]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) - [c118]Alex Alves Freitas
:
Automated Machine Learning for Studying the Trade-Off Between Predictive Accuracy and Interpretability. CD-MAKE 2019: 48-66 - [c117]Fabio Fabris, Alex Alves Freitas:
Analysing the Overfit of the Auto-sklearn Automated Machine Learning Tool. LOD 2019: 508-520 - [c116]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) - [c115]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 - [c114]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 - [c113]Eduardo Corrêa Gonçalves, Alex Alves Freitas, Alexandre Plastino:
A Survey of Genetic Algorithms for Multi-Label Classification. CEC 2018: 1-8 - [c112]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 - [c111]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. WIREs Data Mining Knowl. Discov. 7(3) (2017) - [c110]Sam Cramer, Michael Kampouridis
, Alex Alves Freitas, Antonis K. Alexandridis:
Pricing Rainfall Based Futures Using Genetic Programming. EvoApplications (1) 2017: 17-33 - [c109]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 - [c108]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) - [c107]Sam Cramer, Michael Kampouridis
, Alex Alves Freitas:
Feature engineering for improving financial derivatives-based rainfall prediction. CEC 2016: 3483-3490 - [c106]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) - [c105]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 - [c104]Júlio César Nievola, Emerson Cabrera Paraiso
, Alex Alves Freitas
:
A hierarchical neural network for predicting protein functions. BIBE 2015: 1-5 - [c103]Suwimol Jungjit, Alex Alves Freitas:
A new genetic algorithm for multi-label correlation-based feature selection. ESANN 2015 - [c102]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 - [c101]Suwimol Jungjit, Alex Alves Freitas
:
A Lexicographic Multi-Objective Genetic Algorithm for Multi-Label Correlation Based Feature Selection. GECCO (Companion) 2015: 989-996 - [c100]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 - [c99]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) - [c98]Suwimol Jungjit, Martin Michaelis, Alex Alves Freitas
, Jindrich Cinatl:
Extending multi-label feature selection with KEGG pathway information for microarray data analysis. CIBCB 2014: 1-8 - [c97]Fabio Fabris
, Alex Alves Freitas
:
Dependency network methods for Hierarchical Multi-label Classification of gene functions. CIDM 2014: 241-248 - [c96]Fabio Fabris
, Alex Alves Freitas
:
An Efficient Algorithm for Hierarchical Classification of Protein and Gene Functions. DEXA Workshops 2014: 64-68 - [c95]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 - [c94]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) - [c93]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 - [c92]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 - [c91]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 - [c90]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 - [c89]Luiz Henrique de Campos Merschmann
, Alex Alves Freitas
:
An Extended Local Hierarchical Classifier for Prediction of Protein and Gene Functions. DaWaK 2013: 159-171 - [c88]Khalid M. Salama, Alex Alves Freitas
:
ACO-Based Bayesian Network Ensembles for the Hierarchical Classification of Ageing-Related Proteins. EvoBIO 2013: 80-91 - [c87]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 - [c86]Fernando E. B. Otero, Alex Alves Freitas
:
Improving the interpretability of classification rules discovered by an ant colony algorithm. GECCO 2013: 73-80 - [c85]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 - [c84]Khalid M. Salama, Alex Alves Freitas
:
Extending the ABC-Miner Bayesian Classification Algorithm. NICSO 2013: 1-12 - [c83]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 - [c82]Suwimol Jungjit, Martin Michaelis, Alex Alves Freitas
, Jindrich 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) - [c81]Khalid M. Salama, Alex Alves Freitas
:
ABC-Miner: An Ant-Based Bayesian Classification Algorithm. ANTS 2012: 13-24 - [c80]Matthew Medland, Fernando E. B. Otero, Alex Alves Freitas
:
Improving the cAnt-MinerPB Classification Algorithm. ANTS 2012: 73-84 - [c79]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 - [c78]