Alex Alves Freitas

ORCID

Publication Activity (10 Years)

Years Active: 1996-2024
Publications (10 Years): 75

Top Venues

CoRR

IEEE ACM Trans. Comput. Biol. Bioinform.

GECCO

Artif. Intell. Rev.

Publications

Tossapol Pomsuwan, Alex Alves Freitas
A Genetic Algorithm-based Auto-ML System for Survival Analysis. SAC (2024)
Alex Alves Freitas
The Case for Hybrid Multi-Objective Optimisation in High-Stakes Machine Learning Applications. SIGKDD Explor. 26 (1) (2024)
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 (2024)
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 (2024)
Jack D. Saunders, Alex Alves Freitas
Automated Machine Learning for Positive-Unlabelled Learning. CoRR (2024)
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) (2024)
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) (2023)
James Brookhouse, Alex Alves Freitas
Fair Feature Selection: A Comparison of Multi-Objective Genetic Algorithms. CoRR (2023)
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) (2023)
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 (2023)
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) (2022)
Cen Wan, Alex Alves Freitas
Hierarchical Dependency Constrained Tree Augmented Naive Bayes Classifiers for Hierarchical Feature Spaces. CoRR (2022)
Sergey Ovchinnik, Fernando E. B. Otero, Alex Alves Freitas
Nested trees for longitudinal classification. SAC (2022)
James Brookhouse, Alex Alves Freitas
Fair Feature Selection with a Lexicographic Multi-objective Genetic Algorithm. PPSN (2) (2022)
Tossapol Pomsuwan, Alex Alves Freitas
New Variations of Random Survival Forests and Applications to Age-Related Disease Data. ICHI (2022)
Jack D. Saunders, Alex Alves Freitas
GA-auto-PU: a genetic algorithm-based automated machine learning system for positive-unlabeled learning. GECCO Companion (2022)
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) (2022)
Jack D. Saunders, Alex Alves Freitas
Evaluating the Predictive Performance of Positive-Unlabelled Classifiers: a brief critical review and practical recommendations for improvement. CoRR (2022)
Jack D. Saunders, Alex Alves Freitas
Evaluating a New Genetic Algorithm for Automated Machine Learning in Positive-Unlabelled Learning. EA (2022)
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 (2021)
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) (2021)
Caio Eduardo Ribeiro, Alex Alves Freitas
A data-driven missing value imputation approach for longitudinal datasets. Artif. Intell. Rev. 54 (8) (2021)
Caio Eduardo Ribeiro, Alex Alves Freitas
Constructed Temporal Features for Longitudinal Classification of Human Ageing Data. ICHI (2021)
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) (2021)
Marcelo Rodrigues de Holanda Maia, Alexandre Plastino, Alex Alves Freitas
An Ensemble of Naive Bayes Classifiers for Uncertain Categorical Data. ICDM (2021)
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) (2020)
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 (2020)
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) (2020)
Henry E. L. Cagnini, Alex Alves Freitas, Rodrigo C. Barros
An Evolutionary Algorithm for Learning Interpretable Ensembles of Classifiers. BRACIS (2020)
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) (2020)
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)
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 (2020)
Cen Wan, Alex Alves Freitas
Hierarchical Dependency Constrained Averaged One-Dependence Estimators Classifiers for Hierarchical Feature Spaces. PGM (2020)
Pablo Nascimento da Silva, Alexandre Plastino, Alex Alves Freitas
Prioritizing positive feature values: a new hierarchical feature selection method. Appl. Intell. 50 (12) (2020)
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 (2020)
Caio Eduardo Ribeiro, Alex Alves Freitas
A New Random Forest Method for Longitudinal Data Classification Using a Lexicographic Bi-Objective Approach. SSCI (2020)
Tossapol Pomsuwan, Alex Alves Freitas
Adapting Random Forests to Cope with Heavily Censored Datasets in Survival Analysis. ESANN (2020)
Sam Cramer, Michael Kampouridis, Alex Alves Freitas, Antonis Alexandridis
Stochastic model genetic programming: Deriving pricing equations for rainfall weather derivatives. Swarm Evol. Comput. 46 (2019)
Sergey Ovchinnik, Fernando E. B. Otero, Alex Alves Freitas
Monotonicity Detection and Enforcement in Longitudinal Classification. SGAI Conf. (2019)
Fabio Fabris, Alex Alves Freitas
Analysing the Overfit of the Auto-sklearn Automated Machine Learning Tool. LOD (2019)
Alex Alves Freitas
Automated Machine Learning for Studying the Trade-Off Between Predictive Accuracy and Interpretability. CD-MAKE (2019)
Alex Guimarães Cardoso de Sá, Alex Alves Freitas, Gisele L. Pappa
Multi-label classification search space in the MEKA software. CoRR (2018)
Pablo Nascimento da Silva, Alexandre Plastino, Alex Alves Freitas
A Novel Genetic Algorithm for Feature Selection in Hierarchical Feature Spaces. SDM (2018)
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)
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 (2018)
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) (2018)
Eduardo Corrêa Gonçalves, Alex Alves Freitas, Alexandre Plastino
A Survey of Genetic Algorithms for Multi-Label Classification. CEC (2018)
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) (2018)
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 (2018)
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)
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)
Khalid M. Salama, Ashraf M. Abdelbar, Ayah M. Helal, Alex Alves Freitas
Instance-based classification with Ant Colony Optimization. Intell. Data Anal. 21 (4) (2017)
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 (2017)
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)
Sam Cramer, Michael Kampouridis, Alex Alves Freitas, Antonis K. Alexandridis
Pricing Rainfall Based Futures Using Genetic Programming. EvoApplications (1) (2017)
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)
Tossapol Pomsuwan, Alex Alves Freitas
Feature Selection for the Classification of Longitudinal Human Ageing Data. ICDM Workshops (2017)
Cen Wan, Alex Alves Freitas
A New Hierarchical Redundancy Eliminated Tree Augmented Naive Bayes Classifier for Coping with Gene Ontology-based Features. CoRR (2016)
Sam Cramer, Michael Kampouridis, Alex Alves Freitas
Feature engineering for improving financial derivatives-based rainfall prediction. CEC (2016)
Fabio Fabris, Alex Alves Freitas
New KEGG pathway-based interpretable features for classifying ageing-related mouse proteins. Bioinform. 32 (19) (2016)
Sam Cramer, Michael Kampouridis, Alex Alves Freitas
A Genetic Decomposition Algorithm for Predicting Rainfall within Financial Weather Derivatives. GECCO (2016)
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) (2016)
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) (2016)
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) (2016)
Suwimol Jungjit, Alex Alves Freitas
A new genetic algorithm for multi-label correlation-based feature selection. ESANN (2015)
Eduardo Corrêa Gonçalves, Alexandre Plastino, Alex Alves Freitas
Simpler is Better: a Novel Genetic Algorithm to Induce Compact Multi-label Chain Classifiers. GECCO (2015)
Sam Cramer, Michael Kampouridis, Alex Alves Freitas, Antonis Alexandridis
Predicting Rainfall in the Context of Rainfall Derivatives Using Genetic Programming. SSCI (2015)
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)
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) (2015)
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)
Khalid M. Salama, Alex Alves Freitas
Ant colony algorithms for constructing Bayesian multi-net classifiers. Intell. Data Anal. 19 (2) (2015)
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 (2015)
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) (2015)
Suwimol Jungjit, Alex Alves Freitas
A Lexicographic Multi-Objective Genetic Algorithm for Multi-Label Correlation Based Feature Selection. GECCO (Companion) (2015)
Júlio César Nievola, Emerson Cabrera Paraiso, Alex Alves Freitas
A hierarchical neural network for predicting protein functions. BIBE (2015)
Bruno C. Paes, Alexandre Plastino, Alex Alves Freitas
Exploring Attribute Selection in Hierarchical Classification. J. Inf. Data Manag. 5 (1) (2014)
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 (2014)
Fabio Fabris, Alex Alves Freitas
Dependency network methods for Hierarchical Multi-label Classification of gene functions. CIDM (2014)
Fabio Fabris, Alex Alves Freitas
An Efficient Algorithm for Hierarchical Classification of Protein and Gene Functions. DEXA Workshops (2014)
Khalid M. Salama, Alex Alves Freitas
Classification with cluster-based Bayesian multi-nets using Ant Colony Optimisation. Swarm Evol. Comput. 18 (2014)
Suwimol Jungjit, Martin Michaelis, Alex Alves Freitas, Jindrich Cinatl
Extending multi-label feature selection with KEGG pathway information for microarray data analysis. CIBCB (2014)
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) (2014)
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)
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) (2014)
Khalid M. Salama, Alex Alves Freitas
ABC-Miner+: constructing Markov blanket classifiers with ant colony algorithms. Memetic Comput. 6 (3) (2014)
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)
Eduardo Corrêa Gonçalves, Alexandre Plastino, Alex Alves Freitas
A Genetic Algorithm for Optimizing the Label Ordering in Multi-label Classifier Chains. ICTAI (2013)
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) (2013)
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)
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)
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)
Fernando E. B. Otero, Alex Alves Freitas
Improving the interpretability of classification rules discovered by an ant colony algorithm. GECCO (2013)
Khalid M. Salama, Alex Alves Freitas
Extending the ABC-Miner Bayesian Classification Algorithm. NICSO (2013)
Alex Alves Freitas
Comprehensible classification models: a position paper. SIGKDD Explor. 15 (1) (2013)
Khalid M. Salama, Alex Alves Freitas
ACO-Based Bayesian Network Ensembles for the Hierarchical Classification of Ageing-Related Proteins. EvoBIO (2013)
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)
Khalid M. Salama, Alex Alves Freitas
Evaluating the use of different measure functions in the predictive quality of ABC-miner. GECCO (Companion) (2013)
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) (2013)
Danielle Newby, Alex Alves Freitas, Taravat Ghafourian
Coping with Unbalanced Class Data Sets in Oral Absorption Models. J. Chem. Inf. Model. 53 (2) (2013)
Khalid M. Salama, Alex Alves Freitas
Learning Bayesian network classifiers using ant colony optimization. Swarm Intell. 7 (2-3) (2013)

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Publication Activity (10 Years)

Top Topics

Top Venues

Alex Alves Freitas