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ORCIDAlex 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]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 - [c77]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 - [c76]Suwimol Jungjit, Alex Alves Freitas, Martin Michaelis, Jindrich Cinatl:
A Multi-Label Correlation-Based Feature Selection Method for the Classification of Neuroblastoma Microarray Data. ICDM (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) - [c75]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 - [c74]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) - [c73]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 - [c72]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 - [c71]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 - [c70]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) - [c69]Fernando E. B. Otero, Alex Alves Freitas, Colin G. Johnson:
Handling continuous attributes in Ant Colony Classification algorithms. CIDM 2009: 225-231 - [c68]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 - [c67]Denise Fukumi Tsunoda, Heitor S. Lopes, Alex Alves Freitas:
A Hybrid Evolutionary Approach for the Protein Classification Problem. ICCCI 2009: 629-640 - [c66]Carlos Nascimento Silla Jr., Alex Alves Freitas:
A Global-Model Naive Bayes Approach to the Hierarchical Prediction of Protein Functions. ICDM 2009: 992-997 - [c65]Denise Fukumi Tsunoda, Alex Alves Freitas, Heitor S. Lopes:
MAHATMA: A Genetic Programming-Based Tool for Protein Classification. ISDA 2009: 1136-1142 - [c64]Márcio P. Basgalupp, Rodrigo C. Barros, André Carlos Ponce de Leon Ferreira de Carvalho, Alex Alves Freitas, Duncan D. Ruiz:
LEGAL-tree: a lexicographic multi-objective genetic algorithm for decision tree induction. SAC 2009: 1085-1090 - [c63]Alexandre Plastino, Erick R. Fonseca, Richard Fuchshuber, Simone L. Martins, Alex Alves Freitas, Martino Luis, Saïd Salhi:
A Hybrid Data Mining Metaheuristic for the p-Median Problem. SDM 2009: 305-316 - [c62]Carlos Nascimento Silla Jr., Alex Alves Freitas:
Novel Top-Down Approaches for Hierarchical Classification and Their Application to Automatic Music Genre Classification. SMC 2009: 3499-3504 - [p6]André Carlos Ponce de Leon Ferreira de Carvalho, Alex Alves Freitas:
A Tutorial on Multi-label Classification Techniques. Foundations of Computational Intelligence (5) 2009: 177-195 - [p5]Fernando E. B. Otero, Marc Segond, Alex Alves Freitas, Colin G. Johnson, Denis Robilliard, Cyril Fonlupt:
An Empirical Evaluation of the Effectiveness of Different Types of Predictor Attributes in Protein Function Prediction. Foundations of Computational Intelligence (5) 2009: 339-357 - [r2]Alex Alves Freitas, Gisele L. Pappa:
Genetic Programming for Automatically Constructing Data Mining Algorithms. Encyclopedia of Data Warehousing and Mining 2009: 932-936 - 2008
- [j22]Andrew Secker, Alex Alves Freitas, Jon Timmis:
AISIID: An artificial immune system for interesting information discovery on the web. Appl. Soft Comput. 8(2): 885-905 (2008) - [j21]Matthew N. Davies, Andrew Secker, Alex Alves Freitas, Edward Clark, Jonathan Timmis, Darren R. Flower:
Optimizing amino acid groupings for GPCR classification. Bioinform. 24(18): 1980-1986 (2008) - [j20]Mudassar Iqbal, Alex Alves Freitas, Colin G. Johnson, Massimo Vergassola:
Message-passing algorithms for the prediction of protein domain interactions from protein-protein interaction data. Bioinform. 24(18): 2064-2070 (2008) - [j19]Filippo Menolascina, Roberto Teixeira Alves, Stefania Tommasi, Patrizia Chiarappa, Myriam Regattieri Delgado, Vitoantonio Bevilacqua, Giuseppe Mastronardi, Alex Alves Freitas, Angelo Paradiso:
Fuzzy rule induction and artificial immune systems in female breast cancer familiarity profiling. Int. J. Hybrid Intell. Syst. 5(3): 161-165 (2008) - [c61]Fernando E. B. Otero, Alex Alves Freitas, Colin G. Johnson:
cAnt-Miner: An Ant Colony Classification Algorithm to Cope with Continuous Attributes. ANTS Conference 2008: 48-59 - [c60]Nicholas Holden, Alex Alves Freitas:
Improving the Performance of Hierarchical Classification with Swarm Intelligence. EvoBIO 2008: 48-60 - [c59]Mudassar Iqbal, Alex Alves Freitas, Colin G. Johnson:
Protein Interaction Inference Using Particle Swarm Optimization Algorithm. EvoBIO 2008: 61-70 - [c58]Andrew Secker, Matthew N. Davies, Alex Alves Freitas, Jonathan Timmis, Edward Clark, Darren R. Flower:
An Artificial Immune System for Evolving Amino Acid Clusters Tailored to Protein Function Prediction. ICARIS 2008: 242-253 - [c57]Roberto Teixeira Alves, Myriam Regattieri Delgado, Alex Alves Freitas:
Multi-label Hierarchical Classification of Protein Functions with Artificial Immune Systems. BSB 2008: 1-12 - [c56]Eduardo P. Costa, Ana Carolina Lorena, André C. P. L. F. de Carvalho, Alex Alves Freitas:
Top-Down Hierarchical Ensembles of Classifiers for Predicting G-Protein-Coupled-Receptor Functions. BSB 2008: 35-46 - [p4]Vitoantonio Bevilacqua, Filippo Menolascina, Roberto Teixeira Alves, Stefania Tommasi, Giuseppe Mastronardi, Myriam Regattieri Delgado, Angelo Paradiso, Giuseppe Nicosia, Alex Alves Freitas:
Artificial Immune Systems in Bioinformatics. Computational Intelligence in Biomedicine and Bioinformatics 2008: 271-295 - [p3]Alex Alves Freitas:
A Review of evolutionary Algorithms for Data Mining. Soft Computing for Knowledge Discovery and Data Mining 2008: 79-111 - [p2]Gisele L. Pappa, Alex Alves Freitas:
Discovering New Rule Induction Algorithms with Grammar-based Genetic Programming. Soft Computing for Knowledge Discovery and Data Mining 2008: 133-152 - 2007
- [j18]Matthew N. Davies, Andrew Secker, Alex Alves Freitas, Miguel Mendao, Jonathan Timmis, Darren R. Flower:
On the hierarchical classification of G protein-coupled receptors. Bioinform. 23(23): 3113-3118 (2007) - [j17]Alex Alves Freitas, Jonathan Timmis:
Revisiting the Foundations of Artificial Immune Systems for Data Mining. IEEE Trans. Evol. Comput. 11(4): 521-540 (2007) - [c55]Andrew Secker, Alex Alves Freitas:
WAIRS: improving classification accuracy by weighting attributes in the AIRS classifier. IEEE Congress on Evolutionary Computation 2007: 3759-3765 - [c54]Filippo Menolascina, Roberto Teixeira Alves, Stefania Tommasi, Patrizia Chiarappa, Myriam Regattieri Delgado, Giuseppe Mastronardi, Angelo Paradiso, Alex Alves Freitas, Vitoantonio Bevilacqua:
Induction of fuzzy rules with artificial immune systems in acgh based er status breast cancer characterization. GECCO 2007: 431 - [c53]Elon Santos Correa, Alex Alves Freitas, Colin G. Johnson:
Particle swarm and bayesian networks applied to attribute selection for protein functional classification. GECCO (Companion) 2007: 2651-2658 - [c52]Nicholas Holden, Alex Alves Freitas:
A hybrid PSO/ACO algorithm for classification. GECCO (Companion) 2007: 2745-2750 - [c51]César S. de Oliveira, Paulo Igor Alves Godinho, Aruanda Simões Goncalves Meiguins, Bianchi Serique Meiguins, Alex Alves Freitas:
EDACluster: an Evolutionary Density and Grid-Based Clustering Algorithm. ISDA 2007: 143-150 - [c50]Filippo Menolascina, Roberto Teixeira Alves, Stefania Tommasi, Patrizia Chiarappa, Myriam Regattieri Delgado, Vitoantonio Bevilacqua, Giuseppe Mastronardi, Alex Alves Freitas, Angelo Paradiso:
Fuzzy Rule Induction and Artificial Immune Systems in Female Breast Cancer Familiarity Profiling. KES (3) 2007: 830-837 - [c49]César S. de Oliveira, Aruanda Simões Goncalves Meiguins, Bianchi Serique Meiguins, Paulo Igor Alves Godinho, Alex Alves Freitas:
EDACluster: An Evolucionary Density and Grid-Based Clustering Algorithm. SBBD 2007: 175-189 - [c48]Eduardo P. Costa, Ana Carolina Lorena, André Carlos Ponce de Leon Ferreira de Carvalho, Alex Alves Freitas, Nicholas Holden:
Comparing Several Approaches for Hierarchical Classification of Proteins with Decision Trees. BSB 2007: 126-137 - 2006
- [j16]Carem C. Fabris, Alex Alves Freitas:
Discovering Surprising Instances of Simpson's Paradox in Hierarchical Multidimensional Data. Int. J. Data Warehous. Min. 2(1): 27-49 (2006) - [c47]Gisele L. Pappa, Alex Alves Freitas:
Automatically Evolving Rule Induction Algorithms. ECML 2006: 341-352 - [c46]Allen Chan, Alex Alves Freitas:
A new ant colony algorithm for multi-label classification with applications in bioinfomatics. GECCO 2006: 27-34 - [c45]Elon Santos Correa, Alex Alves Freitas, Colin G. Johnson:
A new discrete particle swarm algorithm applied to attribute selection in a bioinformatics data set. GECCO 2006: 35-42 - [c44]James Smaldon, Alex Alves Freitas:
A new version of the ant-miner algorithm discovering unordered rule sets. GECCO 2006: 43-50 - [c43]Nick Miles, Alex Alves Freitas, Stephen Serjeant:
Estimating photometric redshifts with genetic algorithms. GECCO 2006: 1593-1594 - [c42]Ken Mcflarry, Nick Morris, Alex Alves Freitas:
The Integration of Heterogeneous Biological Data using Bayesian Networks. SGAI Conf. (Applications) 2006: 44-57 - [c41]Nicholas Miles, Alex Alves Freitas, Stephen Serjeant:
Estimating Photometric Redshifts Using Genetic Algorithms. SGAI Conf. (Applications) 2006: 75-87 - [c40]James Smaldon, Alex Alves Freitas:
Improving the Interpretability of Classification Rules in Sparse Bioinformatics Datasets. SGAI Conf. 2006: 377-381 - 2005
- [j15]Deborah R. Carvalho, Alex Alves Freitas:
Evaluating Six Candidate Solutions for the Small-Disjunct Problem and Choosing the Best Solution via Meta-Learning. Artif. Intell. Rev. 24(1): 61-98 (2005) - [c39]Allen Chan, Alex Alves Freitas:
A New Classification-Rule Pruning Procedure for an Ant Colony Algorithm. Artificial Evolution 2005: 25-36 - [c38]Aruanda Simões Gonçalves, Alex Alves Freitas, Rodrigo Kato, Roberto Célio Limão de Oliveira:
Using Genetic Algorithms to Mine Interesting Dependence Modeling Rules. Databases and Applications 2005: 1-6 - [c37]Gisele L. Pappa, Anthony J. Baines, Alex Alves Freitas:
Predicting post-synaptic activity in proteins with data mining. ECCB/JBI 2005: 25 - [c36]Denise Fukumi Tsunoda, Heitor Silvério Lopes, Alex Alves Freitas:
An Evolutionary Approach for Motif Discovery and Transmembrane Protein Classification. EvoWorkshops 2005: 105-114 - [c35]Deborah R. Carvalho, Alex Alves Freitas, Nelson F. F. Ebecken:
Evaluating the Correlation Between Objective Rule Interestingness Measures and Real Human Interest. PKDD 2005: 453-461 - [c34]Nicholas Holden, Alex Alves Freitas:
A hybrid particle swarm/ant colony algorithm for the classification of hierarchical biological data. SIS 2005: 100-107 - [p1]Alex Alves Freitas:
Evolutionary Algorithms for Data Mining. The Data Mining and Knowledge Discovery Handbook 2005: 435-467 - [e1]Mathieu S. Capcarrère, Alex Alves Freitas, Peter J. Bentley, Colin G. Johnson, Jon Timmis:
Advances in Artificial Life, 8th European Conference, ECAL 2005, Canterbury, UK, September 5-9, 2005, Proceedings. Lecture Notes in Computer Science 3630, Springer 2005, ISBN 3-540-28848-1 [contents] - [r1]Rafael S. Parpinelli, Heitor Silvério Lopes, Alex Alves Freitas:
Classification-Rule Discovery with an Ant Colony Algorithm. Encyclopedia of Information Science and Technology (I) 2005: 420-424 - 2004
- [j14]Celia C. Bojarczuk, Heitor S. Lopes, Alex Alves Freitas, Edson L. Michalkiewicz:
A constrained-syntax genetic programming system for discovering classification rules: application to medical data sets. Artif. Intell. Medicine 30(1): 27-48 (2004) - [j13]Wesley Romão, Alex Alves Freitas, Itana Maria de Souza Gimenes:
Discovering interesting knowledge from a science and technology database with a genetic algorithm. Appl. Soft Comput. 4(2): 121-137 (2004) - [j12]Deborah R. Carvalho, Alex Alves Freitas:
A hybrid decision tree/genetic algorithm method for data mining. Inf. Sci. 163(1-3): 13-35 (2004) - [j11]Elon Santos Correa, Maria Teresinha Arns Steiner, Alex Alves Freitas, Celso Carnieri:
A Genetic Algorithm for Solving a Capacitated p-Median Problem. Numer. Algorithms 35(2-4): 373-388 (2004) - [j10]Alex Alves Freitas:
A critical review of multi-objective optimization in data mining: a position paper. SIGKDD Explor. 6(2): 77-86 (2004) - [c33]Carlos Nascimento Silla Jr., Gisele L. Pappa, Alex Alves Freitas, Celso A. A. Kaestner:
Automatic Text Summarization with Genetic Algorithm-Based Attribute Selection. IBERAMIA 2004: 305-314 - [c32]Roberto Teixeira Alves, Myriam Regattieri Delgado, Heitor S. Lopes, Alex Alves Freitas:
An Artificial Immune System for Fuzzy-Rule Induction in Data Mining. PPSN 2004: 1011-1020 - [c31]Nicholas Holden, Alex Alves Freitas:
Web Page Classification with an Ant Colony Algorithm. PPSN 2004: 1092-1102 - 2003
- [j9]Ashish Ghosh, Alex Alves Freitas:
Guest editorial data mining and knowledge discovery with evolutionary algorithms. IEEE Trans. Evol. Comput. 7(6): 517-518 (2003) - [c30]Andrew Secker, Alex Alves Freitas, Jon Timmis:
AISEC: an artificial immune system for e-mail classification. IEEE Congress on Evolutionary Computation 2003: 131-138 - [c29]Celia C. Bojarczuk, Heitor S. Lopes, Alex Alves Freitas:
An Innovative Application of a Constrained-Syntax Genetic Programming System to the Problem of Predicting Survival of Patients. EuroGP 2003: 11-21 - [c28]Fernando E. B. Otero, Monique M. S. Silva, Alex Alves Freitas, Júlio C. Nievola:
Genetic Programming for Attribute Construction in Data Mining. EuroGP 2003: 384-393 - [c27]Andrew Secker, Alex Alves Freitas, Jon Timmis:
A Danger Theory Inspired Approach to Web Mining. ICARIS 2003: 156-167 - [c26]Alex Alves Freitas, Jon Timmis:
Revisiting the Foundations of Artificial Immune Systems: A Problem-Oriented Perspective. ICARIS 2003: 229-241 - 2002
- [j8]Deborah R. Carvalho, Alex Alves Freitas:
A genetic-algorithm for discovering small-disjunct rules in data mining. Appl. Soft Comput. 2(2): 75-88 (2002) - [j7]Rafael S. Parpinelli, Heitor S. Lopes, Alex Alves Freitas:
Data mining with an ant colony optimization algorithm. IEEE Trans. Evol. Comput. 6(4): 321-332 (2002) - [c25]Otavio Larsen, Alex Alves Freitas, Júlio C. Nievola:
Constructing X-of-N Attributes with a Genetic Algorithm. GECCO Late Breaking Papers 2002: 316-322 - [c24]Fernando E. B. Otero, Monique M. S. Silva, Alex Alves Freitas:
Genetic Programming for Attribute Construction in Data Mining. GECCO Late Breaking Papers 2002: 370-376 - [c23]Deborah R. Carvalho, Alex Alves Freitas:
A Genetic Algorithm With Sequential Niching For Discovering Small-disjunct Rules. GECCO 2002: 1035-1042 - [c22]Wesley Romão, Alex Alves Freitas, Roberto C. S. Pacheco:
A Genetic Algorithm For Discovering Interesting Fuzzy Prediction Rules: Applications To Science And Technology Data. GECCO 2002: 1188-1195 - [c21]Otavio Larsen, Alex Alves Freitas, Júlio C. Nievola:
Constructing X-of-n Attributes With A Genetic Algorithm. GECCO 2002: 1268 - [c20]Fernando E. B. Otero, Monique M. S. Silva, Alex Alves Freitas:
Genetic Programming For Attribute Construction In Data Mining. GECCO 2002: 1270 - [c19]Joel Larocca Neto, Alex Alves Freitas, Celso A. A. Kaestner:
Automatic Text Summarization Using a Machine Learning Approach. SBIA 2002: 205-215 - [c18]Rafael S. Parpinelli, Heitor S. Lopes, Alex Alves Freitas:
Mining Comprehensible Rules from Data with an Ant Colony Algorithm. SBIA 2002: 259-269 - [c17]Gisele L. Pappa, Alex Alves Freitas, Celso A. A. Kaestner:
Attribute Selection with a Multi-objective Genetic Algorithm. SBIA 2002: 280-290 - [c16]Edgar Noda, André L. V. Coelho, Ivan L. M. Ricarte, Akebo Yamakami, Alex Alves Freitas:
Devising adaptive migration policies for cooperative distributed genetic algorithms. SMC 2002: 6 - 2001
- [j6]Alex Alves Freitas:
Understanding the Crucial Role of Attribute Interaction in Data Mining. Artif. Intell. Rev. 16(3): 177-199 (2001) - [j5]Alex Alves Freitas:
Book Review: Data Mining Using Grammar-Based Genetic Programming and Applications. Genet. Program. Evolvable Mach. 2(2): 197-199 (2001) - [c15]Roberto R. F. Mendes, Fabricio de B. Voznika, Alex Alves Freitas, Júlio C. Nievola:
Discovering Fuzzy Classification Rules with Genetic Programming and Co-evolution. PKDD 2001: 314-325 - [c14]Carem C. Fabris, Alex Alves Freitas:
Incorporating Deviation-Detection Functionality into the OLAP Paradigm. SBBD 2001: 274-285 - 2000
- [j4]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:
Reports on the AAAI 1999 Workshop Program. AI Mag. 21(1): 95-100 (2000) - [j3]Alex Alves Freitas:
Understanding the Crucial Differences Between Classification and Discovery of Association Rules - A Position Paper. SIGKDD Explor. 2(1): 65-69 (2000) - [c13]M. V. Fidelis, Heitor S. Lopes, Alex Alves Freitas:
Discovering comprehensible classification rules with a genetic algorithm. CEC 2000: 805-810 - [c12]Deborah R. Carvalho, Alex Alves Freitas:
A hybrid decision tree/genetic algorithm for coping with the problem of small disjuncts in data mining. GECCO 2000: 1061-1068 - [c11]Edgar Noda, Alex Alves Freitas, Heitor S. Lopes:
Comparing a Genetic Algorithm with a Rule Induction Algorithm in the Data Mining Task of Dependence Modeling. GECCO 2000: 1080 - [c10]Deborah R. Carvalho, Alex Alves Freitas:
A Genetic Algorithm-Based Solution for the Problem of Small Disjuncts. PKDD 2000: 345-352 - [c9]Joel Larocca Neto, Alexandre Denes Santos, Celso A. A. Kaestner, Alex Alves Freitas:
Generating Text Summaries through the Relative Importance of Topics. IBERAMIA-SBIA 2000: 300-309
1990 – 1999
- 1999
- [j2]Simon H. Lavington, Neil Dewhurst, Elwood Wilkins, Alex Alves Freitas:
Interfacing knowledge discovery algorithms to large database management systems. Inf. Softw. Technol. 41(9): 605-617 (1999) - [j1]Alex Alves Freitas:
On rule interestingness measures. Knowl. Based Syst. 12(5-6): 309-315 (1999) - [c8]Celia C. Bojarczuk, Heitor S. Lopes, Alex Alves Freitas:
Discovering comprehensible classification rules by using Genetic Programming: a case study in a medical domain. GECCO 1999: 953-958 - [c7]Christina S. Fertig, Alex Alves Freitas, Lúcia V. R. Arruda, Celso A. A. Kaestner:
A Fuzzy Beam-Search Rule Induction Algorithm. PKDD 1999: 341-347 - 1998
- [b1]Alex Alves Freitas, Simon H. Lavington:
Mining very large databases with parallel processing. Advances in Database Systems 9, Kluwer 1998, ISBN 978-0-7923-8048-1, pp. I-IX, 1-208 - [c6]Alex Alves Freitas:
On Objective Measures of Rule Surprisingness. PKDD 1998: 1-9 - [c5]Alex Alves Freitas:
Scalable, High-Performance Data Mining with Parallel Processing. PKDD 1998: 477 - 1997
- [c4]Alex Alves Freitas:
Towards Large-Scale Knowledge Discovery in Databases (KDD) by Exploiting Parallelism in Generic KDD Primitives. NGITS 1997 - [c3]Alex Alves Freitas:
The Pronciple of Transformation between Efficiency and Effectiveness: Towards a Fair Evaluation of the Cost-Effectiveness of KDD Techniques. PKDD 1997: 299-306 - 1996
- [c2]Alex Alves Freitas, Simon H. Lavington:
Speeding up Knowledge Discovery in Large Relational Databases by Means of a New Discretization Algorithm. BNCOD 1996: 124-133 - [c1]Alex Alves Freitas, Simon H. Lavington:
Parallel Data Mining for Very Large Relational Databases. HPCN Europe 1996: 158-163
Coauthor Index
Rodrigo C. Barros
aka: Rodrigo Coelho Barros
aka: Rodrigo Coelho Barros
Márcio P. Basgalupp
aka: Márcio Porto Basgalupp
aka: Márcio Porto Basgalupp
André C. P. L. F. de Carvalho
aka: André Carlos Ponce de Leon Ferreira de Carvalho
aka: André Carlos Ponce de Leon Ferreira de Carvalho
Heitor Silvério Lopes
aka: Heitor S. Lopes
aka: Heitor S. Lopes
Gisele L. Pappa
aka: Gisele Lobo Pappa
aka: Gisele Lobo Pappa
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