Automated machine learning for positive-unlabelled learning.

Alex Alves Freitas University of Kent, UK http://www.cs.kent.ac.uk/people/staff/aaf/ https://scholar.google.com/citations?user=NEP3RPYAAAAJ https://orcid.org/0000-0001-9825-4700 https://www.wikidata.org/entity/Q43370863 https://id.loc.gov/authorities/names/n97096438 https://d-nb.info/gnd/1146068182

Jack D. Saunders Alex Alves Freitas Automated machine learning for positive-unlabelled learning. 875 2025 August 55 Appl. Intell. 12 https://doi.org/10.1007/s10489-025-06706-9 db/journals/apin/apin55.html#SaundersF25 streams/journals/apin

Flávio Luiz Seixas Elaine Rangel Seixas Alex Alves Freitas Enhancing dementia prediction models: Leveraging temporal patterns and class-balancing methods. 112754 2025 171 Appl. Soft Comput. https://doi.org/10.1016/j.asoc.2025.112754 db/journals/asc/asc171.html#SeixasSF25 streams/journals/asc

Simon Provost Alex Alves Freitas Scikit-Longitudinal: A Machine Learning Library for Longitudinal Classification in Python. 8481 2025 August 10 J. Open Source Softw. 112 https://doi.org/10.21105/joss.08481 db/journals/jossw/jossw10.html#ProvostF25 streams/journals/jossw

Alex G. C. de Sá Gisele L. Pappa Alex Alves Freitas David B. Ascher Interpreting Machine Learning Pipelines Produced by Evolutionary AutoML for Biochemical Property Prediction. 1944-1952 2025 GECCO Companion https://doi.org/10.1145/3712255.3734339 conf/gecco/2025c db/conf/gecco/gecco2025c.html#SaPFA25 Simon Provost Alex Alves Freitas A New Longitudinal Classification Method Based on Stacking Predictions for Separate Time Points. 157-171 2025 AI (1) https://doi.org/10.1007/978-3-032-11402-0_12 conf/sgai/2025-1 db/conf/sgai/sgai2025-1.html#ProvostF25 streams/conf/sgai Simon Provost Alex Alves Freitas Scikit-Longitudinal: A Machine Learning Library for Longitudinal Classification in Python. 2025 July https://doi.org/10.5281/zenodo.16412723 Zenodo streams/repo/zenodo

Rubén Fernández-Farelo Jorge Paz-Ruza Bertha Guijarro-Berdiñas Amparo Alonso-Betanzos Alex Alves Freitas Robust Gene Prioritization via Fast-mRMR Feature Selection in high-dimensional omics data. 2025 November abs/2511.21211 CoRR https://doi.org/10.48550/arXiv.2511.21211 db/journals/corr/corr2511.html#abs-2511-21211 streams/journals/corr

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. 84 2024 57 Artif. Intell. Rev. 4 https://doi.org/10.1007/s10462-024-10718-1 db/journals/air/air57.html#RibeiroF24

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. 108999 2024 180 Comput. Biol. Medicine https://doi.org/10.1016/j.compbiomed.2024.108999 https://www.wikidata.org/entity/Q130681745 db/journals/cbm/cbm180.html#PazRuzaFAG24 streams/journals/cbm

Alex Alves Freitas The Case for Hybrid Multi-Objective Optimisation in High-Stakes Machine Learning Applications. 24-33 2024 June 26 SIGKDD Explor. 1 https://doi.org/10.1145/3682112.3682116 db/journals/sigkdd/sigkdd26.html#Freitas24 streams/journals/sigkdd

Simon Provost Alex Alves Freitas Auto-Sklong: A New AutoML System for Longitudinal Classification. 3645-3650 2024 BIBM https://doi.org/10.1109/BIBM62325.2024.10821737 conf/bibm/2024 db/conf/bibm/bibm2024.html#ProvostF24 Tossapol Pomsuwan Alex Alves Freitas A Genetic Algorithm-based Auto-ML System for Survival Analysis. 370-377 2024 SAC https://doi.org/10.1145/3605098.3635954 https://www.wikidata.org/entity/Q130837584 conf/sac/2024 db/conf/sac/sac2024.html#PomsuwanF24

Jack D. Saunders Alex Alves Freitas Automated Machine Learning for Positive-Unlabelled Learning. 2024 abs/2401.06452 CoRR https://doi.org/10.48550/arXiv.2401.06452 db/journals/corr/corr2401.html#abs-2401-06452

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. 2024 abs/2406.09898 CoRR https://doi.org/10.48550/arXiv.2406.09898 db/journals/corr/corr2406.html#abs-2406-09898

Lucas M. Pavelski Myriam Regattieri Delgado Marie-Eléonore Kessaci Alex Alves Freitas Stochastic local search and parameters recommendation: a case study on flowshop problems. 774-799 2023 30 Int. Trans. Oper. Res. 2 https://doi.org/10.1111/itor.12922 db/journals/itor/itor30.html#PavelskiDKF23

Henry E. L. Cagnini Silvia N. das Dôres Alex Alves Freitas Rodrigo C. Barros A survey of evolutionary algorithms for supervised ensemble learning. e1 2023 38 Knowl. Eng. Rev. https://doi.org/10.1017/S0269888923000024 db/journals/ker/ker38.html#CagniniDFB23

Marcelo Rodrigues de Holanda Maia Alexandre Plastino 0001 Alex Alves Freitas João Pedro de Magalhães Interpretable Ensembles of Classifiers for Uncertain Data With Bioinformatics Applications. 1829-1841 2023 20 IEEE ACM Trans. Comput. Biol. Bioinform. 3 https://doi.org/10.1109/TCBB.2022.3218588 db/journals/tcbb/tcbb20.html#Maia0FM23

James Brookhouse Alex Alves Freitas Fair Feature Selection: A Comparison of Multi-Objective Genetic Algorithms. 2023 abs/2310.02752 CoRR https://doi.org/10.48550/arXiv.2310.02752 db/journals/corr/corr2310.html#abs-2310-02752

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. 10 2022 23 BMC Bioinform. 1 https://doi.org/10.1186/s12859-021-04523-8 db/journals/bmcbi/bmcbi23.html#MagdalenoBZFM22

Yang Lu Shujun Li Alex Alves Freitas Athina Ioannou How data-sharing nudges influence people's privacy preferences: A machine learning-based analysis. 3 2022 8 EAI Endorsed Trans. Security Safety 30 https://doi.org/10.4108/eai.21-12-2021.172440 https://www.wikidata.org/entity/Q114927183 db/journals/sesa/sesa8.html#LuLFI22

Jack D. Saunders Alex Alves Freitas Evaluating the Predictive Performance of Positive- Unlabelled Classifiers: a brief critical review and practical recommendations for improvement. 5-11 2022 24 SIGKDD Explor. 2 https://doi.org/10.1145/3575637.3575642 db/journals/sigkdd/sigkdd24.html#SaundersF22

Jack D. Saunders Alex Alves Freitas Evaluating a New Genetic Algorithm for Automated Machine Learning in Positive-Unlabelled Learning. 42-57 2022 EA https://doi.org/10.1007/978-3-031-42616-2_4 conf/ae/2022 db/conf/ae/ae2022.html#SaundersF22 Jack D. Saunders Alex Alves Freitas GA-auto-PU: a genetic algorithm-based automated machine learning system for positive-unlabeled learning. 288-291 2022 GECCO Companion https://doi.org/10.1145/3520304.3528932 conf/gecco/2022c db/conf/gecco/gecco2022c.html#SaundersF22 Tossapol Pomsuwan Alex Alves Freitas New Variations of Random Survival Forests and Applications to Age-Related Disease Data. 1-10 2022 ICHI https://doi.org/10.1109/ICHI54592.2022.00013 conf/ichi/2022 db/conf/ichi/ichi2022.html#PomsuwanF22 James Brookhouse Alex Alves Freitas Fair Feature Selection with a Lexicographic Multi-objective Genetic Algorithm. 151-163 2022 PPSN (2) https://doi.org/10.1007/978-3-031-14721-0_11 conf/ppsn/2022-2 db/conf/ppsn/ppsn2022-2.html#BrookhouseF22 Sergey Ovchinnik Fernando E. B. Otero Alex Alves Freitas Nested trees for longitudinal classification. 441-444 2022 SAC https://doi.org/10.1145/3477314.3507240 conf/sac/2022 db/conf/sac/sac2022.html#OvchinnikOF22

Cen Wan Alex Alves Freitas Hierarchical Dependency Constrained Tree Augmented Naive Bayes Classifiers for Hierarchical Feature Spaces. 2022 abs/2202.04105 CoRR https://arxiv.org/abs/2202.04105 db/journals/corr/corr2202.html#abs-2202-04105

Jack D. Saunders Alex Alves Freitas Evaluating the Predictive Performance of Positive-Unlabelled Classifiers: a brief critical review and practical recommendations for improvement. 2022 abs/2206.02423 CoRR https://doi.org/10.48550/arXiv.2206.02423 db/journals/corr/corr2206.html#abs-2206-02423

Caio Eduardo Ribeiro Alex Alves Freitas A data-driven missing value imputation approach for longitudinal datasets. 6277-6307 2021 54 Artif. Intell. Rev. 8 https://doi.org/10.1007/s10462-021-09963-5 db/journals/air/air54.html#RibeiroF21

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. 1895-1914 2021 14 Evol. Intell. 4 https://doi.org/10.1007/s12065-020-00463-z db/journals/evi/evi14.html#BasgaluppBSPMCF21

Nadine M. Neumann Alexandre Plastino 0001 Jony A. Pinto Junior Alex Alves Freitas Is p-value $<$ 0.05 enough? A study on the statistical evaluation of classifiers. e1 2021 36 Knowl. Eng. Rev. https://doi.org/10.1017/S0269888920000417 db/journals/ker/ker36.html#NeumannPJF21

Pablo Nascimento da Silva Alexandre Plastino 0001 Fabio Fabris Alex Alves Freitas A Novel Feature Selection Method for Uncertain Features: An Application to the Prediction of Pro-/Anti-Longevity Genes. 2230-2238 2021 18 IEEE ACM Trans. Comput. Biol. Bioinform. 6 https://doi.org/10.1109/TCBB.2020.2988450 https://www.wikidata.org/entity/Q93178186 db/journals/tcbb/tcbb18.html#SilvaPFF21

Marcelo Rodrigues de Holanda Maia Alexandre Plastino 0001 Alex Alves Freitas An Ensemble of Naive Bayes Classifiers for Uncertain Categorical Data. 1222-1227 2021 ICDM https://doi.org/10.1109/ICDM51629.2021.00148 conf/icdm/2021 db/conf/icdm/icdm2021.html#Maia0F21 Caio Eduardo Ribeiro Alex Alves Freitas Constructed Temporal Features for Longitudinal Classification of Human Ageing Data. 106-112 2021 ICHI https://doi.org/10.1109/ICHI52183.2021.00027 conf/ichi/2021 db/conf/ichi/ichi2021.html#RibeiroF21

Pablo Nascimento da Silva Alexandre Plastino 0001 Alex Alves Freitas Prioritizing positive feature values: a new hierarchical feature selection method. 4412-4433 2020 50 Appl. Intell. 12 https://doi.org/10.1007/s10489-020-01782-5 db/journals/apin/apin50.html#SilvaPF20

Alex Alves Freitas Investigating the role of Simpson's paradox in the analysis of top-ranked features in high-dimensional bioinformatics datasets. 421-428 2020 21 Briefings Bioinform. 2 https://doi.org/10.1093/bib/bby126 https://www.wikidata.org/entity/Q90980773 db/journals/bib/bib21.html#Freitas20

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. 803-814 2020 21 Briefings Bioinform. 3 https://doi.org/10.1093/bib/bbz028 https://www.wikidata.org/entity/Q92515628 db/journals/bib/bib21.html#FabrisPMF20

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. 2202-2208 2020 36 Bioinform. 7 https://doi.org/10.1093/bioinformatics/btz887 https://www.wikidata.org/entity/Q92040066 db/journals/bioinformatics/bioinformatics36.html#FabrisPSMF20

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. 1-18 2020 805 Theor. Comput. Sci. https://doi.org/10.1016/j.tcs.2019.12.002 https://www.wikidata.org/entity/Q126638097 db/journals/tcs/tcs805.html#JuniorFLNB20

Henry E. L. Cagnini Alex Alves Freitas Rodrigo C. Barros An Evolutionary Algorithm for Learning Interpretable Ensembles of Classifiers. 18-33 2020 BRACIS https://doi.org/10.1007/978-3-030-61377-8_2 conf/bracis/2020 db/conf/bracis/bracis2020.html#CagniniFB20 Tossapol Pomsuwan Alex Alves Freitas Adapting Random Forests to Cope with Heavily Censored Datasets in Survival Analysis. 697-702 2020 ESANN https://www.esann.org/sites/default/files/proceedings/2020/ES2020-117.pdf conf/esann/2020 db/conf/esann/esann2020.html#PomsuwanF20 Alex Guimarães Cardoso de Sá Cristiano Guimarães Pimenta Gisele Lobo Pappa Alex Alves Freitas A robust experimental evaluation of automated multi-label classification methods. 175-183 2020 GECCO https://doi.org/10.1145/3377930.3390231 conf/gecco/2020 db/conf/gecco/gecco2020.html#SaPPF20 Cen Wan Alex Alves Freitas Hierarchical Dependency Constrained Averaged One-Dependence Estimators Classifiers for Hierarchical Feature Spaces. 557-568 2020 PGM http://proceedings.mlr.press/v138/wan20a.html conf/pgm/2020 db/conf/pgm/pgm2020.html#WanF20 Caio Eduardo Ribeiro Alex Alves Freitas A New Random Forest Method for Longitudinal Data Classification Using a Lexicographic Bi-Objective Approach. 806-813 2020 SSCI https://doi.org/10.1109/SSCI47803.2020.9308198 conf/ssci/2020 db/conf/ssci/ssci2020.html#RibeiroF20

Alex Guimarães Cardoso de Sá Cristiano Guimarães Pimenta Gisele L. Pappa Alex Alves Freitas A Robust Experimental Evaluation of Automated Multi-Label Classification Methods. 2020 abs/2005.08083 CoRR https://arxiv.org/abs/2005.08083 db/journals/corr/corr2005.html#abs-2005-08083

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). 2020 abs/2009.07430 CoRR https://arxiv.org/abs/2009.07430 db/journals/corr/corr2009.html#abs-2009-07430

Sam Cramer Michael Kampouridis Alex Alves Freitas Antonis Alexandridis 0002 Stochastic model genetic programming: Deriving pricing equations for rainfall weather derivatives. 184-200 2019 46 Swarm Evol. Comput. https://doi.org/10.1016/j.swevo.2019.01.008 db/journals/swevo/swevo46.html#CramerKFA19

Alex Alves Freitas Automated Machine Learning for Studying the Trade-Off Between Predictive Accuracy and Interpretability. 48-66 2019 CD-MAKE https://doi.org/10.1007/978-3-030-29726-8_4 conf/cdmake/2019 db/conf/cdmake/cdmake2019.html#Freitas19 Fabio Fabris Alex Alves Freitas Analysing the Overfit of the Auto-sklearn Automated Machine Learning Tool. 508-520 2019 LOD https://doi.org/10.1007/978-3-030-37599-7_42 conf/mod/2019 db/conf/mod/lod2019.html#FabrisF19 Sergey Ovchinnik Fernando E. B. Otero Alex Alves Freitas Monotonicity Detection and Enforcement in Longitudinal Classification. 63-77 2019 SGAI Conf. https://doi.org/10.1007/978-3-030-34885-4_5 conf/sgai/2019 db/conf/sgai/sgai2019.html#OvchinnikOF19

Cen Wan Alex Alves Freitas An empirical evaluation of hierarchical feature selection methods for classification in bioinformatics datasets with gene ontology-based features. 201-240 2018 50 Artif. Intell. Rev. 2 https://doi.org/10.1007/s10462-017-9541-y https://www.wikidata.org/entity/Q57597592 db/journals/air/air50.html#WanF18

Sam Cramer Michael Kampouridis Alex Alves Freitas Decomposition genetic programming: An extensive evaluation on rainfall prediction in the context of weather derivatives. 208-224 2018 70 Appl. Soft Comput. https://doi.org/10.1016/j.asoc.2018.05.016 https://www.wikidata.org/entity/Q129805464 db/journals/asc/asc70.html#CramerKF18

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. 2449-2456 2018 34 Bioinform. 14 https://doi.org/10.1093/bioinformatics/bty087 https://www.wikidata.org/entity/Q51768389 db/journals/bioinformatics/bioinformatics34.html#FabrisDPMF18

Lariza Laura de Oliveira Alex Alves Freitas Renato Tinós Multi-objective genetic algorithms in the study of the genetic code's adaptability. 48-61 2018 425 Inf. Sci. https://doi.org/10.1016/j.ins.2017.10.022 db/journals/isci/isci425.html#OliveiraFT18

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. 169-174 2018 BRACIS https://doi.org/10.1109/BRACIS.2018.00037 https://doi.ieeecomputersociety.org/10.1109/BRACIS.2018.00037 conf/bracis/2018 db/conf/bracis/bracis2018.html#MirandaFNFO18 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. 462-467 2018 BRACIS https://doi.org/10.1109/BRACIS.2018.00086 https://doi.ieeecomputersociety.org/10.1109/BRACIS.2018.00086 conf/bracis/2018 db/conf/bracis/bracis2018.html#JuniorFNL18 Eduardo Corrêa Gonçalves Alex Alves Freitas Alexandre Plastino 0001 A Survey of Genetic Algorithms for Multi-Label Classification. 1-8 2018 CEC https://doi.org/10.1109/CEC.2018.8477927 conf/cec/2018 db/conf/cec/cec2018.html#GoncalvesFP18 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. 308-320 2018 PPSN (2) https://doi.org/10.1007/978-3-319-99259-4_25 conf/ppsn/2018-2 db/conf/ppsn/ppsn2018-2.html#SaFP18 Pablo Nascimento da Silva Alexandre Plastino 0001 Alex Alves Freitas A Novel Genetic Algorithm for Feature Selection in Hierarchical Feature Spaces. 738-746 2018 SDM https://doi.org/10.1137/1.9781611975321.83 conf/sdm/2018 db/conf/sdm/sdm2018.html#SilvaPF18

Alex Guimarães Cardoso de Sá Alex Alves Freitas Gisele L. Pappa Multi-label classification search space in the MEKA software. 2018 abs/1811.11353 CoRR http://arxiv.org/abs/1811.11353 db/journals/corr/corr1811.html#abs-1811-11353

Sam Cramer Michael Kampouridis Alex Alves Freitas Antonis K. Alexandridis An extensive evaluation of seven machine learning methods for rainfall prediction in weather derivatives. 169-181 2017 85 Expert Syst. Appl. https://doi.org/10.1016/j.eswa.2017.05.029 db/journals/eswa/eswa85.html#CramerKFA17

Khalid M. Salama Ashraf M. Abdelbar Ayah M. Helal Alex Alves Freitas Instance-based classification with Ant Colony Optimization. 913-944 2017 21 Intell. Data Anal. 4 https://doi.org/10.3233/IDA-160031 db/journals/ida/ida21.html#SalamaAHF17

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. 2017 7 WIREs Data Mining Knowl. Discov. 3 https://doi.org/10.1002/widm.1202 db/journals/widm/widm7.html#RibeiroBNFZ17

Sam Cramer Michael Kampouridis Alex Alves Freitas Antonis K. Alexandridis Pricing Rainfall Based Futures Using Genetic Programming. 17-33 2017 EvoApplications (1) https://doi.org/10.1007/978-3-319-55849-3_2 conf/evoW/2017a-1 db/conf/evoW/evoappl2017-1.html#CramerKFA17 Alex Guimarães Cardoso de Sá Gisele L. Pappa Alex Alves Freitas Towards a method for automatically selecting and configuring multi-label classification algorithms. 1125-1132 2017 GECCO (Companion) https://doi.org/10.1145/3067695.3082053 conf/gecco/2017c db/conf/gecco/gecco2017c.html#SaPF17 Tossapol Pomsuwan Alex Alves Freitas Feature Selection for the Classification of Longitudinal Human Ageing Data. 739-746 2017 ICDM Workshops https://doi.org/10.1109/ICDMW.2017.102 https://doi.ieeecomputersociety.org/10.1109/ICDMW.2017.102 conf/icdm/2017w db/conf/icdm/icdm2017w.html#PomsuwanF17

Fabio Fabris Alex Alves Freitas New KEGG pathway-based interpretable features for classifying ageing-related mouse proteins. 2988-2995 2016 32 Bioinform. 19 https://doi.org/10.1093/bioinformatics/btw363 https://www.wikidata.org/entity/Q38445862 db/journals/bioinformatics/bioinformatics32.html#FabrisF16

Fernando E. B. Otero Alex Alves Freitas Improving the Interpretability of Classification Rules Discovered by an Ant Colony Algorithm: Extended Results. 385-409 2016 24 Evol. Comput. 3 https://doi.org/10.1162/EVCO_a_00155 https://www.wikidata.org/entity/Q40844259 db/journals/ec/ec24.html#OteroF16

Natália Aniceto Alex Alves Freitas Andreas Bender 0002 Taravat Ghafourian A novel applicability domain technique for mapping predictive reliability across the chemical space of a QSAR: reliability-density neighbourhood. 69:1-69:20 2016 8 J. Cheminformatics 1 https://doi.org/10.1186/s13321-016-0182-y https://www.wikidata.org/entity/Q49170393 db/journals/jcheminf/jcheminf8.html#AnicetoFBG16

Fabio Fabris Alex Alves Freitas Jennifer M. A. Tullet An Extensive Empirical Comparison of Probabilistic Hierarchical Classifiers in Datasets of Ageing-Related Genes. 1045-1058 2016 13 IEEE ACM Trans. Comput. Biol. Bioinform. 6 https://doi.org/10.1109/TCBB.2015.2505288 https://doi.ieeecomputersociety.org/10.1109/TCBB.2015.2505288 https://dl.acm.org/doi/10.1109/TCBB.2015.2505288 https://www.wikidata.org/entity/Q38453742 db/journals/tcbb/tcbb13.html#FabrisFT16

Sam Cramer Michael Kampouridis Alex Alves Freitas Feature engineering for improving financial derivatives-based rainfall prediction. 3483-3490 2016 CEC https://doi.org/10.1109/CEC.2016.7744231 conf/cec/2016 db/conf/cec/cec2016.html#CramerKF16 Sam Cramer Michael Kampouridis Alex Alves Freitas A Genetic Decomposition Algorithm for Predicting Rainfall within Financial Weather Derivatives. 885-892 2016 GECCO https://doi.org/10.1145/2908812.2908894 conf/gecco/2016 db/conf/gecco/gecco2016.html#CramerKF16

Cen Wan Alex Alves Freitas A New Hierarchical Redundancy Eliminated Tree Augmented Naive Bayes Classifier for Coping with Gene Ontology-based Features. 2016 abs/1607.01690 CoRR http://arxiv.org/abs/1607.01690 db/journals/corr/corr1607.html#WanF16

Rodrigo C. Barros André C. P. L. F. de Carvalho Alex Alves Freitas Automatic Design of Decision-Tree Induction Algorithms Springer 2015 1-176 Springer Briefs in Computer Science 978-3-319-14230-2 978-3-319-14231-9 https://doi.org/10.1007/978-3-319-14231-9 https://www.wikidata.org/entity/Q57739340

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. 1-46 2015 31 Comput. Intell. 1 https://doi.org/10.1111/coin.12011 https://www.wikidata.org/entity/Q57597628 db/journals/ci/ci31.html#CerriPCF15

Khalid M. Salama Alex Alves Freitas Ant colony algorithms for constructing Bayesian multi-net classifiers. 233-257 2015 19 Intell. Data Anal. 2 https://doi.org/10.3233/IDA-150715 https://www.wikidata.org/entity/Q129067815 db/journals/ida/ida19.html#SalamaF15

Alex Alves Freitas Kriti Limbu Taravat Ghafourian Predicting volume of distribution with decision tree-based regression methods using predicted tissue: plasma partition coefficients. 6 2015 7 J. Cheminformatics https://doi.org/10.1186/s13321-015-0054-x https://www.wikidata.org/entity/Q27902282 db/journals/jcheminf/jcheminf7.html#FreitasLG15

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. 262-275 2015 12 IEEE ACM Trans. Comput. Biol. Bioinform. 2 https://doi.org/10.1109/TCBB.2014.2355218 https://doi.ieeecomputersociety.org/10.1109/TCBB.2014.2355218 https://dl.acm.org/doi/10.1109/TCBB.2014.2355218 https://www.wikidata.org/entity/Q38457993 db/journals/tcbb/tcbb12.html#WanFM15

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. 27-36 2015 BCB https://doi.org/10.1145/2808719.2808722 conf/bcb/2015 db/conf/bcb/bcb2015.html#WanF15 Júlio César Nievola Emerson Cabrera Paraiso Alex Alves Freitas A hierarchical neural network for predicting protein functions. 1-5 2015 BIBE https://doi.org/10.1109/BIBE.2015.7367651 https://doi.ieeecomputersociety.org/10.1109/BIBE.2015.7367651 https://www.wikidata.org/entity/Q57597598 conf/bibe/2015 db/conf/bibe/bibe2015.html#NievolaPF15 Suwimol Jungjit Alex Alves Freitas A new genetic algorithm for multi-label correlation-based feature selection. 2015 ESANN https://www.esann.org/sites/default/files/proceedings/legacy/es2015-48.pdf conf/esann/2015 db/conf/esann/esann2015.html#JungjitF15 Eduardo Corrêa Gonçalves Alexandre Plastino 0001 Alex Alves Freitas Simpler is Better: a Novel Genetic Algorithm to Induce Compact Multi-label Chain Classifiers. 559-566 2015 GECCO https://doi.org/10.1145/2739480.2754650 https://www.wikidata.org/entity/Q59442706 conf/gecco/2015 db/conf/gecco/gecco2015.html#GoncalvesPF15 Suwimol Jungjit Alex Alves Freitas A Lexicographic Multi-Objective Genetic Algorithm for Multi-Label Correlation Based Feature Selection. 989-996 2015 GECCO (Companion) https://doi.org/10.1145/2739482.2768448 https://www.wikidata.org/entity/Q57597604 conf/gecco/2015c db/conf/gecco/gecco2015c.html#JungjitF15 Fabio Fabris Alex Alves Freitas A Novel Extended Hierarchical Dependence Network Method Based on Non-hierarchical Predictive Classes and Applications to Ageing-Related Data. 294-301 2015 ICTAI https://doi.org/10.1109/ICTAI.2015.53 https://doi.ieeecomputersociety.org/10.1109/ICTAI.2015.53 https://www.wikidata.org/entity/Q57597597 conf/ictai/2015 db/conf/ictai/ictai2015.html#FabrisF15 Sam Cramer Michael Kampouridis Alex Alves Freitas Antonis Alexandridis 0002 Predicting Rainfall in the Context of Rainfall Derivatives Using Genetic Programming. 711-718 2015 SSCI https://doi.org/10.1109/SSCI.2015.108 conf/ssci/2015 db/conf/ssci/ssci2015.html#CramerKFA15

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. 3-35 2014 15 Genet. Program. Evolvable Mach. 1 https://doi.org/10.1007/s10710-013-9186-9 db/journals/gpem/gpem15.html#PappaOHFWS14

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. 160-181 2014 258 Inf. Sci. https://doi.org/10.1016/j.ins.2013.07.025 https://www.wikidata.org/entity/Q57739429 db/journals/isci/isci258.html#BasgaluppBCF14

Bruno C. Paes Alexandre Plastino 0001 Alex Alves Freitas Exploring Attribute Selection in Hierarchical Classification. 124-133 2014 5 J. Inf. Data Manag. 1 https://sol.sbc.org.br/journals/index.php/jidm/article/view/1526 db/journals/jidm/jidm5.html#PaesPF14

Khalid M. Salama Alex Alves Freitas ABC-Miner+: constructing Markov blanket classifiers with ant colony algorithms. 183-206 2014 6 Memetic Comput. 3 https://doi.org/10.1007/s12293-014-0138-6 db/journals/memetic/memetic6.html#SalamaF14

Khalid M. Salama Alex Alves Freitas Classification with cluster-based Bayesian multi-nets using Ant Colony Optimisation. 54-70 2014 18 Swarm Evol. Comput. https://doi.org/10.1016/j.swevo.2014.05.001 https://www.wikidata.org/entity/Q57597607 db/journals/swevo/swevo18.html#SalamaF14

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. 873-892 2014 18 IEEE Trans. Evol. Comput. 6 https://doi.org/10.1109/TEVC.2013.2291813 https://www.wikidata.org/entity/Q57739427 db/journals/tec/tec18.html#BarrosBFC14

Suwimol Jungjit Martin Michaelis Alex Alves Freitas Jindrich Cinatl Extending multi-label feature selection with KEGG pathway information for microarray data analysis. 1-8 2014 CIBCB https://doi.org/10.1109/CIBCB.2014.6845501 https://www.wikidata.org/entity/Q57597613 conf/cibcb/2014 db/conf/cibcb/cibcb2014.html#JungjitMFC14 Fabio Fabris Alex Alves Freitas Dependency network methods for Hierarchical Multi-label Classification of gene functions. 241-248 2014 CIDM https://doi.org/10.1109/CIDM.2014.7008674 https://www.wikidata.org/entity/Q57597618 conf/cidm/2014 db/conf/cidm/cidm2014.html#FabrisF14 Fabio Fabris Alex Alves Freitas An Efficient Algorithm for Hierarchical Classification of Protein and Gene Functions. 64-68 2014 DEXA Workshops https://doi.org/10.1109/DEXA.2014.29 https://doi.ieeecomputersociety.org/10.1109/DEXA.2014.29 https://www.wikidata.org/entity/Q57597610 conf/dexaw/2014 db/conf/dexaw/dexaw2014.html#FabrisF14 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. 1279-1286 2014 GECCO (Companion) https://doi.org/10.1145/2598394.2611384 https://www.wikidata.org/entity/Q57739431 conf/gecco/2014c db/conf/gecco/gecco2014c.html#CerriBFC14 Pablo Nascimento da Silva Eduardo Corrêa Gonçalves Alexandre Plastino 0001 Alex Alves Freitas Distinct Chains for Different Instances: An Effective Strategy for Multi-label Classifier Chains. 453-468 2014 ECML/PKDD (2) https://doi.org/10.1007/978-3-662-44851-9_29 conf/pkdd/2014-2 db/conf/pkdd/pkdd2014-2.html#SilvaGPF14

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. 667-675 2013 13 Appl. Soft Comput. 1 https://doi.org/10.1016/j.asoc.2012.07.026 https://www.wikidata.org/entity/Q57597630 db/journals/asc/asc13.html#SalamaAOF13

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. 659-684 2013 21 Evol. Comput. 4 https://doi.org/10.1162/EVCO_a_00101 https://www.wikidata.org/entity/Q46180243 db/journals/ec/ec21.html#BarrosBCF13

Danielle Newby Alex Alves Freitas Taravat Ghafourian Coping with Unbalanced Class Data Sets in Oral Absorption Models. 461-474 2013 53 J. Chem. Inf. Model. 2 https://doi.org/10.1021/ci300348u https://www.wikidata.org/entity/Q30584838 db/journals/jcisd/jcisd53.html#NewbyFG13

Danielle Newby Alex Alves Freitas Taravat Ghafourian Pre-processing Feature Selection for Improved C&RT Models for Oral Absorption. 2730-2742 2013 53 J. Chem. Inf. Model. 10 https://doi.org/10.1021/ci400378j https://www.wikidata.org/entity/Q44269964 db/journals/jcisd/jcisd53.html#NewbyFG13a

Alex Alves Freitas Comprehensible classification models: a position paper. 1-10 2013 15 SIGKDD Explor. 1 https://doi.org/10.1145/2594473.2594475 https://www.wikidata.org/entity/Q57597616 db/journals/sigkdd/sigkdd15.html#Freitas13

Khalid M. Salama Alex Alves Freitas Learning Bayesian network classifiers using ant colony optimization. 229-254 2013 7 Swarm Intell. 2-3 https://doi.org/10.1007/s11721-013-0087-6 db/journals/swarm/swarm7.html#SalamaF13

Fernando E. B. Otero Alex Alves Freitas Colin G. Johnson A New Sequential Covering Strategy for Inducing Classification Rules With Ant Colony Algorithms. 64-76 2013 17 IEEE Trans. Evol. Comput. 1 https://doi.org/10.1109/TEVC.2012.2185846 db/journals/tec/tec17.html#OteroFJ13

Cen Wan Alex Alves Freitas Prediction of the pro-longevity or anti-longevity effect of Caenorhabditis Elegans genes based on Bayesian classification methods. 373-380 2013 BIBM https://doi.org/10.1109/BIBM.2013.6732521 https://doi.ieeecomputersociety.org/10.1109/BIBM.2013.6732521 https://www.wikidata.org/entity/Q57597641 conf/bibm/2013 db/conf/bibm/bibm2013.html#WanF13 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. 454-461 2013 IEEE Congress on Evolutionary Computation https://doi.org/10.1109/CEC.2013.6557604 https://www.wikidata.org/entity/Q57597626 conf/cec/2013 db/conf/cec/cec2013.html#CerriBCF13 Khalid M. Salama Alex Alves Freitas Investigating the impact of various classification quality measures in the predictive accuracy of ABC-Miner. 2321-2328 2013 IEEE Congress on Evolutionary Computation https://doi.org/10.1109/CEC.2013.6557846 conf/cec/2013 db/conf/cec/cec2013.html#SalamaF13 Khalid M. Salama Alex Alves Freitas Clustering-based Bayesian Multi-net Classifier construction with Ant Colony Optimization. 3079-3086 2013 IEEE Congress on Evolutionary Computation https://doi.org/10.1109/CEC.2013.6557945 conf/cec/2013 db/conf/cec/cec2013.html#SalamaF13a Luiz Henrique de Campos Merschmann Alex Alves Freitas An Extended Local Hierarchical Classifier for Prediction of Protein and Gene Functions. 159-171 2013 DaWaK https://doi.org/10.1007/978-3-642-40131-2_14 https://www.wikidata.org/entity/Q57597636 conf/dawak/2013 db/conf/dawak/dawak2013.html#MerschmannF13 Khalid M. Salama Alex Alves Freitas ACO-Based Bayesian Network Ensembles for the Hierarchical Classification of Ageing-Related Proteins. 80-91 2013 EvoBIO https://doi.org/10.1007/978-3-642-37189-9_8 https://www.wikidata.org/entity/Q57597633 conf/evoW/2013bio db/conf/evoW/evobio2013.html#SalamaF13 Khalid M. Salama Alex Alves Freitas Evaluating the use of different measure functions in the predictive quality of ABC-miner. 15-16 2013 GECCO (Companion) https://doi.org/10.1145/2464576.2464580 conf/gecco/2013c db/conf/gecco/gecco2013c.html#SalamaF13 Fernando E. B. Otero Alex Alves Freitas Improving the interpretability of classification rules discovered by an ant colony algorithm. 73-80 2013 GECCO https://doi.org/10.1145/2463372.2463382 https://www.wikidata.org/entity/Q57597639 conf/gecco/2013 db/conf/gecco/gecco2013.html#OteroF13 Eduardo Corrêa Gonçalves Alexandre Plastino 0001 Alex Alves Freitas A Genetic Algorithm for Optimizing the Label Ordering in Multi-label Classifier Chains. 469-476 2013 ICTAI https://doi.org/10.1109/ICTAI.2013.76 https://doi.ieeecomputersociety.org/10.1109/ICTAI.2013.76 https://www.wikidata.org/entity/Q57597622 conf/ictai/2013 db/conf/ictai/ictai2013.html#GoncalvesPF13 Khalid M. Salama Alex Alves Freitas Extending the ABC-Miner Bayesian Classification Algorithm. 1-12 2013 NICSO https://doi.org/10.1007/978-3-319-01692-4_1 https://www.wikidata.org/entity/Q57597620 conf/nicso/2013 db/conf/nicso/nicso2013.html#SalamaF13 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. 385-400 2013 ECML/PKDD (2) https://doi.org/10.1007/978-3-642-40991-2_25 https://www.wikidata.org/entity/Q57739536 conf/pkdd/2013-2 db/conf/pkdd/pkdd2013-2.html#BarrosCFC13 Suwimol Jungjit Martin Michaelis Alex Alves Freitas Jindrich Cinatl Two Extensions to Multi-label Correlation-Based Feature Selection: A Case Study in Bioinformatics. 1519-1524 2013 SMC https://doi.org/10.1109/SMC.2013.262 https://www.wikidata.org/entity/Q57597624 conf/smc/2013 db/conf/smc/smc2013.html#JungjitMFC13

Fernando E. B. Otero Alex Alves Freitas Colin G. Johnson Inducing decision trees with an ant colony optimization algorithm. 3615-3626 2012 12 Appl. Soft Comput. 11 https://doi.org/10.1016/j.asoc.2012.05.028 db/journals/asc/asc12.html#OteroFJ12

Bruno C. Paes Alexandre Plastino 0001 Alex Alves Freitas Improving Local Per Level Hierarchical Classification. 394-409 2012 3 J. Inf. Data Manag. 3 https://sol.sbc.org.br/journals/index.php/jidm/article/view/1461 db/journals/jidm/jidm3.html#PaesPF12

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. 291-312 2012 42 IEEE Trans. Syst. Man Cybern. Part C 3 https://doi.org/10.1109/TSMCC.2011.2157494 https://www.wikidata.org/entity/Q56340232 db/journals/tsmc/tsmcc42.html#BarrosBCF12

Khalid M. Salama Alex Alves Freitas ABC-Miner: An Ant-Based Bayesian Classification Algorithm. 13-24 2012 ANTS https://doi.org/10.1007/978-3-642-32650-9_2 https://www.wikidata.org/entity/Q57597642 conf/ants/2012 db/conf/ants/ants2012.html#SalamaF12 Matthew Medland Fernando E. B. Otero Alex Alves Freitas Improving the cAnt-MinerPB Classification Algorithm. 73-84 2012 ANTS https://doi.org/10.1007/978-3-642-32650-9_7 https://www.wikidata.org/entity/Q57597643 conf/ants/2012 db/conf/ants/ants2012.html#MedlandOF12 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. 1-7 2012 IEEE Congress on Evolutionary Computation https://doi.org/10.1109/CEC.2012.6252874 conf/cec/2012 db/conf/cec/cec2012.html#MeiguinsOMJF12 Alberto Moraglio Fernando E. B. Otero Colin G. Johnson Simon J. Thompson Alex Alves Freitas Evolving recursive programs using non-recursive scaffolding. 1-8 2012 IEEE Congress on Evolutionary Computation https://doi.org/10.1109/CEC.2012.6256545 conf/cec/2012 db/conf/cec/cec2012.html#MoraglioOJTF12 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. 1237-1244 2012 GECCO https://doi.org/10.1145/2330163.2330335 https://www.wikidata.org/entity/Q57739570 conf/gecco/2012 db/conf/gecco/gecco2012.html#BarrosBCF12 Suwimol Jungjit Alex Alves Freitas Martin Michaelis Jindrich Cinatl A Multi-Label Correlation-Based Feature Selection Method for the Classification of Neuroblastoma Microarray Data. 149-157 2012 ICDM (Workshops) conf/incdm/2012w db/conf/incdm/incdm2012w.html#JungjitFMC12

Carlos Nascimento Silla Jr. Alex Alves Freitas A survey of hierarchical classification across different application domains. 31-72 2011 22 Data Min. Knowl. Discov. 1-2 https://doi.org/10.1007/s10618-010-0175-9 https://www.wikidata.org/entity/Q57597648 db/journals/datamine/datamine22.html#SillaF11

Rafael B. Pereira Alexandre Plastino 0001 Bianca Zadrozny Luiz Henrique de Campos Merschmann Alex Alves Freitas Lazy attribute selection: Choosing attributes at classification time. 715-732 2011 15 Intell. Data Anal. 5 https://doi.org/10.3233/IDA-2011-0491 https://www.wikidata.org/entity/Q129070038 db/journals/ida/ida15.html#PereiraPZMF11

Ricardo Cerri André Carlos Ponce de Leon Ferreira de Carvalho Alex Alves Freitas Adapting non-hierarchical multilabel classification methods for hierarchical multilabel classification. 861-887 2011 15 Intell. Data Anal. 6 https://doi.org/10.3233/IDA-2011-0500 https://www.wikidata.org/entity/Q57739651 db/journals/ida/ida15.html#CerriCF11

Carlos Nascimento Silla Jr. Alex Alves Freitas Selecting different protein representations and classification algorithms in hierarchical protein function prediction. 979-999 2011 15 Intell. Data Anal. 6 https://doi.org/10.3233/IDA-2011-0505 https://www.wikidata.org/entity/Q129070085 db/journals/ida/ida15.html#SillaF11

Rafael B. Pereira Alexandre Plastino 0001 Bianca Zadrozny Luiz Henrique de Campos Merschmann Alex Alves Freitas Improving Lazy Attribute Selection. 447-462 2011 2 J. Inf. Data Manag. 3 https://sol.sbc.org.br/journals/index.php/jidm/article/view/1420 db/journals/jidm/jidm2.html#PereiraPZMF11

Alexandre Plastino 0001 Richard Fuchshuber Simone L. Martins Alex Alves Freitas Saïd Salhi A hybrid data mining metaheuristic for the <i>p</i>-median problem. 313-335 2011 4 Stat. Anal. Data Min. 3 https://doi.org/10.1002/sam.10116 db/journals/sadm/sadm4.html#PlastinoFMFS11

Denise Fukumi Tsunoda Alex Alves Freitas Heitor Silvério Lopes A genetic programming method for protein motif discovery and protein classification. 1897-1908 2011 15 Soft Comput. 10 https://doi.org/10.1007/s00500-010-0624-9 https://www.wikidata.org/entity/Q57597646 db/journals/soco/soco15.html#TsunodaFL11

Khalid M. Salama Ashraf M. Abdelbar Alex Alves Freitas Multiple pheromone types and other extensions to the Ant-Miner classification rule discovery algorithm. 149-182 2011 5 Swarm Intell. 3-4 https://doi.org/10.1007/s11721-011-0057-9 https://www.wikidata.org/entity/Q57597644 db/journals/swarm/swarm5.html#SalamaAF11

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. 567-574 2011 GECCO (Companion) https://doi.org/10.1145/2001858.2002050 https://www.wikidata.org/entity/Q57739692 conf/gecco/2011c db/conf/gecco/gecco2011c.html#BarrosBCF11 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. 3055-3062 2011 IJCNN https://doi.org/10.1109/IJCNN.2011.6033624 conf/ijcnn/2011 db/conf/ijcnn/ijcnn2011.html#JuniorCFGS11

Antonio LaTorre José María Peña Sánchez Santiago Muelas Alex Alves Freitas Learning hybridization strategies in evolutionary algorithms. 333-354 2010 14 Intell. Data Anal. 3 https://doi.org/10.3233/IDA-2010-0424 https://www.wikidata.org/entity/Q129069612 db/journals/ida/ida14.html#LaTorrePMF10

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. 191-210 2010 4 Int. J. Data Min. Bioinform. 2 https://doi.org/10.1504/IJDMB.2010.032150 https://www.wikidata.org/entity/Q33566011 db/journals/ijdmb/ijdmb4.html#SeckerDFCTF10

Fernando E. B. Otero Alex Alves Freitas Colin G. Johnson A hierarchical multi-label classification ant colony algorithm for protein function prediction. 165-181 2010 2 Memetic Comput. 3 https://doi.org/10.1007/s12293-010-0045-4 https://www.wikidata.org/entity/Q57597647 db/journals/memetic/memetic2.html#OteroFJ10

Alex Alves Freitas Daniela Wieser Rolf Apweiler On the Importance of Comprehensible Classification Models for Protein Function Prediction. 172-182 2010 7 IEEE ACM Trans. Comput. Biol. Bioinform. 1 https://doi.org/10.1109/TCBB.2008.47 https://doi.ieeecomputersociety.org/10.1109/TCBB.2008.47 https://dl.acm.org/doi/10.1109/TCBB.2008.47 https://www.wikidata.org/entity/Q37691162 db/journals/tcbb/tcbb7.html#FreitasWA10

Roberto Teixeira Alves Miguel R. Delgado Alex Alves Freitas Knowledge discovery with Artificial Immune Systems for hierarchical multi-label classification of protein functions. 1-8 2010 FUZZ-IEEE https://doi.org/10.1109/FUZZY.2010.5584298 https://www.wikidata.org/entity/Q57597645 conf/fuzzIEEE/2010 db/conf/fuzzIEEE/fuzzIEEE2010.html#AlvesDF10 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. 1069-1070 2010 GECCO https://doi.org/10.1145/1830483.1830679 conf/gecco/2010 db/conf/gecco/gecco2010.html#MeiguinsFOJM10 João Carlos Xavier Jr. Alex Alves Freitas Anne M. P. Canuto Luiz Marcos Gonçalves Web log data clustering for a multi-agent recommendation system. 471-476 2010 ICMLC https://doi.org/10.1109/ICMLC.2010.5581017 conf/icmlc/2010 db/conf/icmlc/icmlc2010.html#XavierFCG10 Rodrigo C. Barros Márcio P. Basgalupp Duncan D. Ruiz André Carlos Ponce de Leon Ferreira de Carvalho Alex Alves Freitas Evolutionary model tree induction. 1131-1137 2010 SAC https://doi.org/10.1145/1774088.1774327 https://www.wikidata.org/entity/Q57739737 conf/sac/2010 db/conf/sac/sac2010.html#BarrosBRCF10 Alex Alves Freitas A Review of Evolutionary Algorithms for Data Mining. 371-400 2010 Data Mining and Knowledge Discovery Handbook https://doi.org/10.1007/978-0-387-09823-4_19 https://www.wikidata.org/entity/Q57597656 reference/dmkdh/2010 db/reference/dmkdh/dmkdh2010.html#Freitas10 Gisele L. Pappa Alex Alves Freitas Creating Rule Ensembles from Automatically-Evolved Rule Induction Algorithms. 257-273 2010 Advances in Machine Learning I https://doi.org/10.1007/978-3-642-05177-7_13 series/sci/2010-262 db/series/sci/sci262.html#PappaF10

Gisele L. Pappa Alex Alves Freitas Automatically evolving rule induction algorithms tailored to the prediction of postsynaptic activity in proteins. 243-259 2009 13 Intell. Data Anal. 2 https://doi.org/10.3233/IDA-2009-0366 https://www.wikidata.org/entity/Q129067819 db/journals/ida/ida13.html#PappaF09

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. 105-117 2009 1 Int. J. Bio Inspired Comput. 1/2 https://doi.org/10.1504/IJBIC.2009.022779 https://www.wikidata.org/entity/Q57739830 db/journals/ijbic/ijbic1.html#BasgaluppCBRF09

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. 103-123 2009 8 J. Math. Model. Algorithms 2 https://doi.org/10.1007/s10852-009-9107-3 https://www.wikidata.org/entity/Q60473762 db/journals/jmma/jmma8.html#SeckerDFTCF09

Gisele L. Pappa Alex Alves Freitas Evolving rule induction algorithms with multi-objective grammar-based genetic programming. 283-309 2009 19 Knowl. Inf. Syst. 3 https://doi.org/10.1007/s10115-008-0171-1 db/journals/kais/kais19.html#PappaF09

Nicholas Holden Alex Alves Freitas Hierarchical classification of protein function with ensembles of rules and particle swarm optimisation. 259-272 2009 13 Soft Comput. 3 https://doi.org/10.1007/s00500-008-0321-0 https://www.wikidata.org/entity/Q57597660 db/journals/soco/soco13.html#HoldenF09

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. 133-155 2009 39 IEEE Trans. Syst. Man Cybern. Part C 2 https://doi.org/10.1109/TSMCC.2008.2007252 https://www.wikidata.org/entity/Q57739781 db/journals/tsmc/tsmcc39.html#HruschkaCFC09

Fernando E. B. Otero Alex Alves Freitas Colin G. Johnson Handling continuous attributes in Ant Colony Classification algorithms. 225-231 2009 CIDM https://doi.org/10.1109/CIDM.2009.4938653 https://www.wikidata.org/entity/Q57597651 conf/cidm/2009 db/conf/cidm/cidm2009.html#OteroFJ09 Fernando E. B. Otero Alex Alves Freitas Colin G. Johnson A Hierarchical Classification Ant Colony Algorithm for Predicting Gene Ontology Terms. 68-79 2009 EvoBIO https://doi.org/10.1007/978-3-642-01184-9_7 https://www.wikidata.org/entity/Q57597653 conf/evoW/2009bio db/conf/evoW/evobio2009.html#OteroFJ09 Denise Fukumi Tsunoda Heitor S. Lopes Alex Alves Freitas A Hybrid Evolutionary Approach for the Protein Classification Problem. 629-640 2009 ICCCI https://doi.org/10.1007/978-3-642-04441-0_55 https://www.wikidata.org/entity/Q57597654 conf/iccci/2009 db/conf/iccci/iccci2009.html#TsunodaLF09 Carlos Nascimento Silla Jr. Alex Alves Freitas A Global-Model Naive Bayes Approach to the Hierarchical Prediction of Protein Functions. 992-997 2009 ICDM https://doi.org/10.1109/ICDM.2009.85 https://doi.ieeecomputersociety.org/10.1109/ICDM.2009.85 https://www.wikidata.org/entity/Q57597652 conf/icdm/2009 db/conf/icdm/icdm2009.html#SillaF09 Denise Fukumi Tsunoda Alex Alves Freitas Heitor S. Lopes MAHATMA: A Genetic Programming-Based Tool for Protein Classification. 1136-1142 2009 ISDA https://doi.org/10.1109/ISDA.2009.14 https://doi.ieeecomputersociety.org/10.1109/ISDA.2009.14 https://www.wikidata.org/entity/Q57597658 conf/isda/2009 db/conf/isda/isda2009.html#TsunodaFL09 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. 1085-1090 2009 SAC https://doi.org/10.1145/1529282.1529521 https://www.wikidata.org/entity/Q57739825 conf/sac/2009 db/conf/sac/sac2009.html#BasgaluppBCFR09 Alexandre Plastino 0001 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. 305-316 2009 SDM https://doi.org/10.1137/1.9781611972795.27 conf/sdm/2009 db/conf/sdm/sdm2009.html#PlastinoFFMFLS09 Carlos Nascimento Silla Jr. Alex Alves Freitas Novel Top-Down Approaches for Hierarchical Classification and Their Application to Automatic Music Genre Classification. 3499-3504 2009 SMC conf/smc/2009 db/conf/smc/smc2009.html#JuniorF09 https://doi.org/10.1109/ICSMC.2009.5346776 https://www.wikidata.org/entity/Q57597650 André Carlos Ponce de Leon Ferreira de Carvalho Alex Alves Freitas A Tutorial on Multi-label Classification Techniques. 177-195 2009 Foundations of Computational Intelligence (5) https://doi.org/10.1007/978-3-642-01536-6_8 https://www.wikidata.org/entity/Q57739785 series/sci/2009-205 db/series/sci/sci205.html#CarvalhoF09 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. 339-357 2009 Foundations of Computational Intelligence (5) https://doi.org/10.1007/978-3-642-01536-6_13 series/sci/2009-205 db/series/sci/sci205.html#OteroSFJRF09 Alex Alves Freitas Gisele L. Pappa Genetic Programming for Automatically Constructing Data Mining Algorithms. 932-936 2009 Encyclopedia of Data Warehousing and Mining http://www.igi-global.com/Bookstore/Chapter.aspx?TitleId=10932 reference/dataware/2009 db/reference/dataware/dataware2009.html#FreitasP09

Andrew Secker Alex Alves Freitas Jon Timmis AISIID: An artificial immune system for interesting information discovery on the web. 885-905 2008 8 Appl. Soft Comput. 2 https://doi.org/10.1016/j.asoc.2007.07.007 https://www.wikidata.org/entity/Q60473780 db/journals/asc/asc8.html#SeckerFT08

Matthew N. Davies Andrew Secker Alex Alves Freitas Edward Clark Jonathan Timmis Darren R. Flower Optimizing amino acid groupings for GPCR classification. 1980-1986 2008 24 Bioinform. 18 https://doi.org/10.1093/bioinformatics/btn382 https://www.wikidata.org/entity/Q48328249 db/journals/bioinformatics/bioinformatics24.html#DaviesSFCTF08

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. 2064-2070 2008 24 Bioinform. 18 https://doi.org/10.1093/bioinformatics/btn366 https://www.wikidata.org/entity/Q31163841 db/journals/bioinformatics/bioinformatics24.html#IqbalFJV08

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. 161-165 2008 5 Int. J. Hybrid Intell. Syst. 3 http://content.iospress.com/articles/international-journal-of-hybrid-intelligent-systems/his00073 db/journals/ijhis/ijhis5.html#MenolascinaATCDBMFP08

Fernando E. B. Otero Alex Alves Freitas Colin G. Johnson cAnt-Miner: An Ant Colony Classification Algorithm to Cope with Continuous Attributes. 48-59 2008 ANTS Conference https://doi.org/10.1007/978-3-540-87527-7_5 https://www.wikidata.org/entity/Q57597723 conf/antsw/2008 db/conf/antsw/ants2008.html#OteroFJ08 Nicholas Holden Alex Alves Freitas Improving the Performance of Hierarchical Classification with Swarm Intelligence. 48-60 2008 EvoBIO https://doi.org/10.1007/978-3-540-78757-0_5 https://www.wikidata.org/entity/Q57597717 conf/evoW/2008bio db/conf/evoW/evobio2008.html#HoldenF08 Mudassar Iqbal Alex Alves Freitas Colin G. Johnson Protein Interaction Inference Using Particle Swarm Optimization Algorithm. 61-70 2008 EvoBIO https://doi.org/10.1007/978-3-540-78757-0_6 https://www.wikidata.org/entity/Q57597722 conf/evoW/2008bio db/conf/evoW/evobio2008.html#IqbalFJ08 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. 242-253 2008 ICARIS https://doi.org/10.1007/978-3-540-85072-4_22 https://www.wikidata.org/entity/Q57597702 conf/icaris/2008 db/conf/icaris/icaris2008.html#SeckerDFTCF08 Roberto Teixeira Alves Myriam Regattieri Delgado Alex Alves Freitas Multi-label Hierarchical Classification of Protein Functions with Artificial Immune Systems. 1-12 2008 BSB https://doi.org/10.1007/978-3-540-85557-6_1 https://www.wikidata.org/entity/Q57597720 conf/wob/2008 db/conf/wob/bsb2008.html#AlvesDF08 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. 35-46 2008 BSB https://doi.org/10.1007/978-3-540-85557-6_4 https://www.wikidata.org/entity/Q57739970 conf/wob/2008 db/conf/wob/bsb2008.html#CostaLCF08 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. 271-295 2008 Computational Intelligence in Biomedicine and Bioinformatics https://doi.org/10.1007/978-3-540-70778-3_11 https://www.wikidata.org/entity/Q58225460 series/sci/2008-151 db/series/sci/sci151.html#BevilacquaMATMDPNF08 Alex Alves Freitas A Review of evolutionary Algorithms for Data Mining. 79-111 2008 Soft Computing for Knowledge Discovery and Data Mining https://doi.org/10.1007/978-0-387-69935-6_4 series/springer/2008MaimonR db/series/springer/MaimonRokach2008.html#Freitas08 Gisele L. Pappa Alex Alves Freitas Discovering New Rule Induction Algorithms with Grammar-based Genetic Programming. 133-152 2008 Soft Computing for Knowledge Discovery and Data Mining https://doi.org/10.1007/978-0-387-69935-6_6 https://www.wikidata.org/entity/Q57597664 series/springer/2008MaimonR db/series/springer/MaimonRokach2008.html#PappaF08

Matthew N. Davies Andrew Secker Alex Alves Freitas Miguel Mendao Jonathan Timmis Darren R. Flower On the hierarchical classification of G protein-coupled receptors. 3113-3118 2007 23 Bioinform. 23 https://doi.org/10.1093/bioinformatics/btm506 https://www.wikidata.org/entity/Q48378161 db/journals/bioinformatics/bioinformatics23.html#DaviesSFMTF07

Alex Alves Freitas Jonathan Timmis Revisiting the Foundations of Artificial Immune Systems for Data Mining. 521-540 2007 11 IEEE Trans. Evol. Comput. 4 https://doi.org/10.1109/TEVC.2006.884042 https://www.wikidata.org/entity/Q60473829 db/journals/tec/tec11.html#FreitasT07

Andrew Secker Alex Alves Freitas WAIRS: improving classification accuracy by weighting attributes in the AIRS classifier. 3759-3765 2007 IEEE Congress on Evolutionary Computation https://doi.org/10.1109/CEC.2007.4424960 https://www.wikidata.org/entity/Q57597667 conf/cec/2007 db/conf/cec/cec2007.html#SeekerF07 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. 431 2007 conf/gecco/2007 GECCO https://doi.org/10.1145/1276958.1277051 https://www.wikidata.org/entity/Q58225474 db/conf/gecco/gecco2007.html#MenolascinaATCDMPFB07 Elon Santos Correa Alex Alves Freitas Colin G. Johnson Particle swarm and bayesian networks applied to attribute selection for protein functional classification. 2651-2658 2007 conf/gecco/2007c GECCO (Companion) https://doi.org/10.1145/1274000.1274081 https://www.wikidata.org/entity/Q57597671 db/conf/gecco/gecco2007c.html#CorreaFJ07 Nicholas Holden Alex Alves Freitas A hybrid PSO/ACO algorithm for classification. 2745-2750 2007 conf/gecco/2007c GECCO (Companion) https://doi.org/10.1145/1274000.1274080 https://www.wikidata.org/entity/Q57597669 db/conf/gecco/gecco2007c.html#HoldenF07 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. 143-150 2007 ISDA https://doi.org/10.1109/ISDA.2007.118 https://doi.ieeecomputersociety.org/10.1109/ISDA.2007.118 conf/isda/2007 db/conf/isda/isda2007.html#OliveiraGMMF07 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. 830-837 2007 conf/kes/2007-3 KES (3) https://doi.org/10.1007/978-3-540-74829-8_101 db/conf/kes/kes2007-3.html#MenolascinaATCDBMFP07 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. 175-189 2007 conf/sbbd/2007 SBBD http://www.lbd.dcc.ufmg.br:8080/colecoes/sbbd/2007/SBBD12.pdf db/conf/sbbd/sbbd2007.html#OliveiraMMGF07 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. 126-137 2007 conf/wob/2007 BSB https://doi.org/10.1007/978-3-540-73731-5_12 db/conf/wob/bsb2007.html#CostaLCFH07

Carem C. Fabris Alex Alves Freitas Discovering Surprising Instances of Simpson's Paradox in Hierarchical Multidimensional Data. 27-49 2006 2 Int. J. Data Warehous. Min. 1 https://doi.org/10.4018/jdwm.2006010102 db/journals/jdwm/ijdwm2.html#FabrisF06

Gisele L. Pappa Alex Alves Freitas Automatically Evolving Rule Induction Algorithms. 341-352 2006 conf/ecml/2006 ECML https://doi.org/10.1007/11871842_34 db/conf/ecml/ecml2006.html#PappaF06 Allen Chan Alex Alves Freitas A new ant colony algorithm for multi-label classification with applications in bioinfomatics. 27-34 2006 conf/gecco/2006 GECCO https://doi.org/10.1145/1143997.1144002 db/conf/gecco/gecco2006.html#ChanF06 Elon Santos Correa Alex Alves Freitas Colin G. Johnson A new discrete particle swarm algorithm applied to attribute selection in a bioinformatics data set. 35-42 2006 conf/gecco/2006 GECCO https://doi.org/10.1145/1143997.1144003 db/conf/gecco/gecco2006.html#CorreaFJ06 James Smaldon Alex Alves Freitas A new version of the ant-miner algorithm discovering unordered rule sets. 43-50 2006 conf/gecco/2006 GECCO https://doi.org/10.1145/1143997.1144004 db/conf/gecco/gecco2006.html#SmaldonF06 Nick Miles Alex Alves Freitas Stephen Serjeant Estimating photometric redshifts with genetic algorithms. 1593-1594 2006 conf/gecco/2006 GECCO https://doi.org/10.1145/1143997.1144257 db/conf/gecco/gecco2006.html#MilesFS06 Ken Mcflarry Nick Morris Alex Alves Freitas The Integration of Heterogeneous Biological Data using Bayesian Networks. 44-57 2006 SGAI Conf. (Applications) https://doi.org/10.1007/978-1-84628-666-7_4 conf/sgai/2006a db/conf/sgai/sgai2006a.html#McflarryMF06 Nicholas Miles Alex Alves Freitas Stephen Serjeant Estimating Photometric Redshifts Using Genetic Algorithms. 75-87 2006 SGAI Conf. (Applications) https://doi.org/10.1007/978-1-84628-666-7_6 conf/sgai/2006a db/conf/sgai/sgai2006a.html#MilesFS06 James Smaldon Alex Alves Freitas Improving the Interpretability of Classification Rules in Sparse Bioinformatics Datasets. 377-381 2006 SGAI Conf. https://doi.org/10.1007/978-1-84628-663-6_27 https://www.wikidata.org/entity/Q57597670 conf/sgai/2006 db/conf/sgai/sgai2006.html#SmaldonF06

Deborah R. Carvalho Alex Alves Freitas Evaluating Six Candidate Solutions for the Small-Disjunct Problem and Choosing the Best Solution via Meta-Learning. 61-98 2005 24 Artif. Intell. Rev. 1 https://doi.org/10.1007/s10462-005-1586-7 db/journals/air/air24.html#CarvalhoF05

Allen Chan Alex Alves Freitas A New Classification-Rule Pruning Procedure for an Ant Colony Algorithm. 25-36 2005 conf/ae/2005 Artificial Evolution https://doi.org/10.1007/11740698_3 https://www.wikidata.org/entity/Q57597672 db/conf/ae/ae2005.html#ChanF05 Aruanda Simões Gonçalves Alex Alves Freitas Rodrigo Kato Roberto Célio Limão de Oliveira Using Genetic Algorithms to Mine Interesting Dependence Modeling Rules. 1-6 2005 conf/dba/2005 Databases and Applications db/conf/dba/dba2005.html#GoncalvesFKO05 Gisele L. Pappa Anthony J. Baines Alex Alves Freitas Predicting post-synaptic activity in proteins with data mining. 25 2005 conf/eccb/2005 ECCB/JBI https://doi.org/10.1093/bioinformatics/bti1102 https://www.wikidata.org/entity/Q31009322 db/conf/eccb/eccb2005.html#PappaBF05 Denise Fukumi Tsunoda Heitor Silvério Lopes Alex Alves Freitas An Evolutionary Approach for Motif Discovery and Transmembrane Protein Classification. 105-114 https://doi.org/10.1007/978-3-540-32003-6_11 https://www.wikidata.org/entity/Q57597674 2005 conf/evoW/2005 EvoWorkshops db/conf/evoW/evoW2005.html#TsunodaLF05 Deborah R. Carvalho Alex Alves Freitas Nelson F. F. Ebecken Evaluating the Correlation Between Objective Rule Interestingness Measures and Real Human Interest. 453-461 2005 conf/pkdd/2005 PKDD https://doi.org/10.1007/11564126_45 db/conf/pkdd/pkdd2005.html#CarvalhoFE05 Nicholas Holden Alex Alves Freitas A hybrid particle swarm/ant colony algorithm for the classification of hierarchical biological data. 100-107 2005 SIS https://doi.org/10.1109/SIS.2005.1501608 https://www.wikidata.org/entity/Q57597695 conf/swis/2005 db/conf/swis/swis2005.html#HoldenF05 Alex Alves Freitas Evolutionary Algorithms for Data Mining. 435-467 2005 books/sp/DM2005 The Data Mining and Knowledge Discovery Handbook db/books/collections/datamining2005.html#Freitas05 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 3630 2005 3-540-28848-1 ECAL Lecture Notes in Computer Science Springer https://doi.org/10.1007/11553090 db/conf/ecal/ecal2005.html Rafael S. Parpinelli Heitor Silvério Lopes Alex Alves Freitas Classification-Rule Discovery with an Ant Colony Algorithm. 420-424 2005 books/idea/Ency05 Encyclopedia of Information Science and Technology (I) db/books/collections/encyclopedia2005.html#ParpinelliLF05 http://www.igi-global.com/Bookstore/Chapter.aspx?TitleId=14273

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. 27-48 2004 30 Artif. Intell. Medicine 1 https://doi.org/10.1016/j.artmed.2003.06.001 https://www.wikidata.org/entity/Q30886456 db/journals/artmed/artmed30.html#BojarczukLFM04

Wesley Romão Alex Alves Freitas Itana Maria de Souza Gimenes Discovering interesting knowledge from a science and technology database with a genetic algorithm. 121-137 2004 4 Appl. Soft Comput. 2 https://doi.org/10.1016/j.asoc.2003.10.002 db/journals/asc/asc4.html#RomaoFG04

Deborah R. Carvalho Alex Alves Freitas A hybrid decision tree/genetic algorithm method for data mining. 13-35 2004 163 Inf. Sci. 1-3 https://doi.org/10.1016/j.ins.2003.03.013 https://www.wikidata.org/entity/Q57597676 db/journals/isci/isci163.html#CarvalhoF04

Elon Santos Correa Maria Teresinha Arns Steiner Alex Alves Freitas Celso Carnieri A Genetic Algorithm for Solving a Capacitated <i>p</i>-Median Problem. 373-388 2004 35 Numer. Algorithms 2-4 https://doi.org/10.1023/B:NUMA.0000021767.42899.31 db/journals/na/na35.html#CorreaSFC04

Alex Alves Freitas A critical review of multi-objective optimization in data mining: a position paper. 77-86 2004 6 SIGKDD Explor. 2 https://doi.org/10.1145/1046456.1046467 https://www.wikidata.org/entity/Q57597679 db/journals/sigkdd/sigkdd6.html#Freitas04

Carlos Nascimento Silla Jr. Gisele L. Pappa Alex Alves Freitas Celso A. A. Kaestner Automatic Text Summarization with Genetic Algorithm-Based Attribute Selection. 305-314 https://doi.org/10.1007/978-3-540-30498-2_31 2004 conf/iberamia/2004 IBERAMIA db/conf/iberamia/iberamia2004.html#SillaPFK04 Roberto Teixeira Alves Myriam Regattieri Delgado Heitor S. Lopes Alex Alves Freitas An Artificial Immune System for Fuzzy-Rule Induction in Data Mining. 1011-1020 https://doi.org/10.1007/978-3-540-30217-9_102 2004 conf/ppsn/2004 PPSN db/conf/ppsn/ppsn2004.html#AlvesDLF04 Nicholas Holden Alex Alves Freitas Web Page Classification with an Ant Colony Algorithm. 1092-1102 https://doi.org/10.1007/978-3-540-30217-9_110 https://www.wikidata.org/entity/Q57597681 2004 conf/ppsn/2004 PPSN db/conf/ppsn/ppsn2004.html#HoldenF04

Ashish Ghosh Alex Alves Freitas Guest editorial data mining and knowledge discovery with evolutionary algorithms. 517-518 2003 7 IEEE Trans. Evol. Comput. 6 db/journals/tec/tec7.html#GhoshA03 https://doi.org/10.1109/TEVC.2003.819653 https://www.wikidata.org/entity/Q57597684

Andrew Secker Alex Alves Freitas Jon Timmis AISEC: an artificial immune system for e-mail classification. 131-138 2003 IEEE Congress on Evolutionary Computation https://doi.org/10.1109/CEC.2003.1299566 https://www.wikidata.org/entity/Q57597697 conf/cec/2003 db/conf/cec/cec2003.html#SeckerFT03 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. 11-21 2003 conf/eurogp/2003 EuroGP https://doi.org/10.1007/3-540-36599-0_2 db/conf/eurogp/eurogp2003.html#BojarczukLF03 Fernando E. B. Otero Monique M. S. Silva Alex Alves Freitas Júlio C. Nievola Genetic Programming for Attribute Construction in Data Mining. 384-393 2003 conf/eurogp/2003 EuroGP https://doi.org/10.1007/3-540-36599-0_36 db/conf/eurogp/eurogp2003.html#OteroSFN03 Andrew Secker Alex Alves Freitas Jon Timmis A Danger Theory Inspired Approach to Web Mining. 156-167 https://doi.org/10.1007/978-3-540-45192-1_16 2003 conf/icaris/2003 ICARIS db/conf/icaris/icaris2003.html#SeckerFT03 Alex Alves Freitas Jon Timmis Revisiting the Foundations of Artificial Immune Systems: A Problem-Oriented Perspective. 229-241 https://doi.org/10.1007/978-3-540-45192-1_22 2003 conf/icaris/2003 ICARIS db/conf/icaris/icaris2003.html#FreitasT03

Deborah R. Carvalho Alex Alves Freitas A genetic-algorithm for discovering small-disjunct rules in data mining. 75-88 2002 2 Appl. Soft Comput. 2 https://doi.org/10.1016/S1568-4946(02)00031-5 db/journals/asc/asc2.html#CarvalhoF02

Rafael S. Parpinelli Heitor S. Lopes Alex Alves Freitas Data mining with an ant colony optimization algorithm. 321-332 2002 6 IEEE Trans. Evol. Comput. 4 db/journals/tec/tec6.html#ParpinelliLF02 https://doi.org/10.1109/TEVC.2002.802452

Otavio Larsen Alex Alves Freitas Júlio C. Nievola Constructing X-of-N Attributes with a Genetic Algorithm. 316-322 2002 conf/gecco/2002late GECCO Late Breaking Papers db/conf/gecco/gecco2002late.html#LarsernFN02 Fernando E. B. Otero Monique M. S. Silva Alex Alves Freitas Genetic Programming for Attribute Construction in Data Mining. 370-376 2002 conf/gecco/2002late GECCO Late Breaking Papers db/conf/gecco/gecco2002late.html#OteroSF02a Deborah R. Carvalho Alex Alves Freitas A Genetic Algorithm With Sequential Niching For Discovering Small-disjunct Rules. 1035-1042 2002 conf/gecco/2002 GECCO db/conf/gecco/gecco2002.html#CarvalhoF02 Wesley Romão Alex Alves Freitas Roberto C. S. Pacheco A Genetic Algorithm For Discovering Interesting Fuzzy Prediction Rules: Applications To Science And Technology Data. 1188-1195 2002 conf/gecco/2002 GECCO db/conf/gecco/gecco2002.html#RomaoFP02 Otavio Larsen Alex Alves Freitas Júlio C. Nievola Constructing X-of-n Attributes With A Genetic Algorithm. 1268 2002 conf/gecco/2002 GECCO db/conf/gecco/gecco2002.html#LarsenFN02 Fernando E. B. Otero Monique M. S. Silva Alex Alves Freitas Genetic Programming For Attribute Construction In Data Mining. 1270 2002 conf/gecco/2002 GECCO db/conf/gecco/gecco2002.html#OteroSF02 Joel Larocca Neto Alex Alves Freitas Celso A. A. Kaestner Automatic Text Summarization Using a Machine Learning Approach. 205-215 2002 conf/sbia/2002 SBIA https://doi.org/10.1007/3-540-36127-8_20 db/conf/sbia/sbia2002.html#NetoFK02 Rafael S. Parpinelli Heitor S. Lopes Alex Alves Freitas Mining Comprehensible Rules from Data with an Ant Colony Algorithm. 259-269 2002 conf/sbia/2002 SBIA https://doi.org/10.1007/3-540-36127-8_25 db/conf/sbia/sbia2002.html#ParpinelliLF02 Gisele L. Pappa Alex Alves Freitas Celso A. A. Kaestner Attribute Selection with a Multi-objective Genetic Algorithm. 280-290 2002 conf/sbia/2002 SBIA https://doi.org/10.1007/3-540-36127-8_27 db/conf/sbia/sbia2002.html#PappaFK02 Edgar Noda André L. V. Coelho Ivan L. M. Ricarte Akebo Yamakami Alex Alves Freitas Devising adaptive migration policies for cooperative distributed genetic algorithms. 6 2002 SMC https://doi.org/10.1109/ICSMC.2002.1175628 conf/smc/2002 db/conf/smc/smc2002.html#NodaCRYF02

Alex Alves Freitas Understanding the Crucial Role of Attribute Interaction in Data Mining. 177-199 2001 16 Artif. Intell. Rev. 3 db/journals/air/air16.html#Freitas01 https://doi.org/10.1023/A:1011996210207

Alex Alves Freitas Book Review: Data Mining Using Grammar-Based Genetic Programming and Applications. 197-199 2001 2 Genet. Program. Evolvable Mach. 2 db/journals/gpem/gpem2.html#Freitas01 https://doi.org/10.1023/A:1011564616547

Roberto R. F. Mendes Fabricio de B. Voznika Alex Alves Freitas Júlio C. Nievola Discovering Fuzzy Classification Rules with Genetic Programming and Co-evolution. 314-325 2001 conf/pkdd/2001 PKDD https://doi.org/10.1007/3-540-44794-6_26 https://www.wikidata.org/entity/Q57597688 db/conf/pkdd/pkdd2001.html#MendesVFN01 Carem C. Fabris Alex Alves Freitas Incorporating Deviation-Detection Functionality into the OLAP Paradigm. 274-285 2001 conf/sbbd/2001 SBBD db/conf/sbbd/sbbd2001.html#FabrisF01

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. 95-100 2000 21 AI Mag. 1 db/journals/aim/aim21.html#DrabbleCTAWAFFFFCSABMGMSCCSBPTT00 https://doi.org/10.1609/aimag.v21i1.1499

Alex Alves Freitas Understanding the Crucial Differences Between Classification and Discovery of Association Rules - A Position Paper. 65-69 2000 2 SIGKDD Explor. 1 https://doi.org/10.1145/360402.360423 https://www.wikidata.org/entity/Q57597690 db/journals/sigkdd/sigkdd2.html#Freitas00

M. V. Fidelis Heitor S. Lopes Alex Alves Freitas Discovering comprehensible classification rules with a genetic algorithm. 805-810 2000 CEC https://doi.org/10.1109/CEC.2000.870381 https://www.wikidata.org/entity/Q57597709 conf/cec/2000 db/conf/cec/cec2000.html#FidelisLF00 Deborah R. Carvalho Alex Alves Freitas A hybrid decision tree/genetic algorithm for coping with the problem of small disjuncts in data mining. 1061-1068 2000 conf/gecco/2000 GECCO db/conf/gecco/gecco2000.html#CarvalhoF00 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. 1080 2000 conf/gecco/2000 GECCO db/conf/gecco/gecco2000.html#NodaFL00 Deborah R. Carvalho Alex Alves Freitas A Genetic Algorithm-Based Solution for the Problem of Small Disjuncts. 345-352 https://doi.org/10.1007/3-540-45372-5_35 2000 conf/pkdd/2000 PKDD db/conf/pkdd/pkdd2000.html#CarvalhoF00 Joel Larocca Neto Alexandre Denes Santos Celso A. A. Kaestner Alex Alves Freitas Generating Text Summaries through the Relative Importance of Topics. 300-309 https://doi.org/10.1007/3-540-44399-1_31 2000 conf/sbia/2000 IBERAMIA-SBIA db/conf/sbia/sbia2000.html#NetoSKF00

Simon H. Lavington Neil Dewhurst Elwood Wilkins Alex Alves Freitas Interfacing knowledge discovery algorithms to large database management systems. 605-617 1999 41 Inf. Softw. Technol. 9 https://doi.org/10.1016/S0950-5849(99)00024-5 db/journals/infsof/infsof41.html#LavingtonDWF99

Alex Alves Freitas On rule interestingness measures. 309-315 1999 12 Knowl. Based Syst. 5-6 https://doi.org/10.1016/S0950-7051(99)00019-2 https://www.wikidata.org/entity/Q102362856 db/journals/kbs/kbs12.html#Freitas99

Celia C. Bojarczuk Heitor S. Lopes Alex Alves Freitas Discovering comprehensible classification rules by using Genetic Programming: a case study in a medical domain. 953-958 1999 conf/gecco/1999 GECCO db/conf/gecco/gecco1999.html#BojarczukLF99 Christina S. Fertig Alex Alves Freitas Lúcia V. R. Arruda Celso A. A. Kaestner A Fuzzy Beam-Search Rule Induction Algorithm. 341-347 1999 conf/pkdd/1999 PKDD db/conf/pkdd/pkdd99.html#FertigFAK99 https://doi.org/10.1007/978-3-540-48247-5_40 Alex Alves Freitas Simon H. Lavington Mining very large databases with parallel processing. I-IX, 1-208 Kluwer 1998 Advances in Database Systems 9 978-0-7923-8048-1 Alex Alves Freitas On Objective Measures of Rule Surprisingness. 1-9 1998 conf/pkdd/1998 PKDD db/conf/pkdd/pkdd98.html#Freitas98 https://doi.org/10.1007/BFb0094799 Alex Alves Freitas Scalable, High-Performance Data Mining with Parallel Processing. 477 1998 conf/pkdd/1998 PKDD db/conf/pkdd/pkdd98.html#Freitas98a https://doi.org/10.1007/BFb0094852 Alex Alves Freitas Towards Large-Scale Knowledge Discovery in Databases (KDD) by Exploiting Parallelism in Generic KDD Primitives. 1997 conf/ngits/1997 NGITS db/conf/ngits/ngits97.html#Freitas97 Alex Alves Freitas The Pronciple of Transformation between Efficiency and Effectiveness: Towards a Fair Evaluation of the Cost-Effectiveness of KDD Techniques. 299-306 1997 conf/pkdd/1997 PKDD db/conf/pkdd/pkdd97.html#Freitas97 https://doi.org/10.1007/3-540-63223-9_128 Alex Alves Freitas Simon H. Lavington Speeding up Knowledge Discovery in Large Relational Databases by Means of a New Discretization Algorithm. 124-133 1996 conf/bncod/1996 BNCOD db/conf/bncod/bncod96.html#FreitasL96 https://doi.org/10.1007/3-540-61442-7_8 Alex Alves Freitas Simon H. Lavington Parallel Data Mining for Very Large Relational Databases. 158-163 1996 conf/hpcn/1996 HPCN Europe db/conf/hpcn/hpcn1996.html#FreitasL96 https://doi.org/10.1007/3-540-61142-8_542 Ashraf M. Abdelbar Sue Abu-Hakima David W. Aha Antonis Alexandridis 0002Antonis K. Alexandridis Amparo Alonso-Betanzos Roberto Teixeira Alves Natália Aniceto Rolf Apweiler Lúcia V. R. Arruda David B. Ascher Jim Austin Anthony J. Baines Cephas A. S. Barreto Rodrigo C. BarrosRodrigo Coelho Barros Márcio P. BasgaluppMárcio Porto Basgalupp Irma BecerraIrma Becerra-Fernandez Andreas Bender 0002 Peter J. Bentley Vladislav Bespalov Vitoantonio Bevilacqua Celia C. Bojarczuk Patrick Brézillon Luis Henrique S. Brito James Brookhouse Henry E. L. Cagnini Mary Elaine Califf Ricardo J. G. B. CampelloRicardo José Gabrielli Barreto Campello Anne M. P. Canuto Mathieu S. Capcarrère Celso Carnieri André C. P. L. F. de CarvalhoAndré Carlos Ponce de Leon Ferreira de Carvalho Deborah R. Carvalho Ricardo Cerri Allen Chan Laurent Chaudron Patrizia Chiarappa Jindrich Cinatl Edward Clark André L. V. Coelho Elon Santos Correa Ulises Cortés Eduardo P. Costa Michael T. Cox Sam Cramer Matthew N. Davies Miguel R. Delgado Myriam DelgadoMyriam Regattieri Delgado Neil Dewhurst Aoife Doherty Silvia N. das Dôres Brian Drabble Nelson F. F. Ebecken Carem C. Fabris Fabio Fabris Boi Faltings Rubén Fernández-Farelo Christina S. Fertig M. V. Fidelis Darren R. Flower Cyril Fonlupt Erick Rocha FonsecaErick R. Fonseca Eugene C. Freuder Gerhard Friedrich Richard Fuchshuber Taravat Ghafourian Aditya Ghose Ashish Ghosh Itana Maria de Souza Gimenes Paulo Igor Alves Godinho Eduardo Corrêa Gonçalves Luiz Marcos Garcia GonçalvesLuiz Marcos GonçalvesLuiz M. G. Gonçalves Bertha Guijarro-Berdiñas Ayah HelalAyah M. Helal Nicholas Holden Eduardo R. Hruschka Matthew R. Hyde Athina Ioannou Mudassar Iqbal Colin G. Johnson Suwimol Jungjit Jony A. Pinto Junior Samuel F. S. Junior Celso A. A. Kaestner Michael Kampouridis Rodrigo Kato Marie-Eléonore Kessaci Otavio Larsen Antonio LaTorre Simon H. Lavington Shujun Li Kriti Limbu Heitor Silvério LopesHeitor S. Lopes Ana Carolina Lorena Yang Lu Teresa Bernarda Ludermir Martino Luis João Pedro de Magalhães Gustavo Daniel Vega Magdaleno Marcelo Rodrigues de Holanda Maia Rafael Gomes Mantovani Simone L. Martins Giuseppe Mastronardi Ken Mcflarry Matthew Medland Aruanda Simões Goncalves MeiguinsAruanda Simões Gonçalves Bianchi Serique Meiguins Miguel Mendao Roberto R. F. Mendes Filippo Menolascina Tim Menzies Luiz H. C. MerschmannLuiz Henrique de Campos Merschmann Martin Michaelis Edson L. Michalkiewicz Nicholas Miles Nick Miles Enrico S. Miranda Alberto Moraglio Nick Morris Santiago Muelas Hector Muñoz-AvilaHéctor Muñoz-Avila Chrystian G. M. Nascimento Antonino Feitosa Neto Joel Larocca Neto Nadine M. Neumann Danielle Newby Giuseppe Nicosia Júlio C. NievolaJúlio César Nievola Cristiane NobreCristiane Neri Nobre Edgar Noda Gabriela Ochoa Alexandre César Muniz de OliveiraAlexandre C. M. Oliveira César S. de Oliveira Lariza Laura de Oliveira Roberto Célio Limão de Oliveira Fernando E. B. Otero Sergey Ovchinnik Roberto Carlos dos Santos PachecoRoberto C. S. Pacheco Bruno C. Paes Daniel Palmer Gisele L. PappaGisele Lobo Pappa Angelo Paradiso Emerson Cabrera Paraiso Rafael S. Parpinelli Lucas M. Pavelski Jorge Paz-Ruza José M. Peña 0002José María Peña Sánchez Rafael B. Pereira Cristiano Guimarães Pimenta Alexandre Plastino 0001 Jean-Charles Pomerol Tossapol Pomsuwan Simon Provost Caio Eduardo Ribeiro Ivan Luiz Marques RicarteIvan L. M. Ricarte Denis Robilliard Wesley Romão Duncan Dubugras Alcoba RuizDuncan D. Ruiz Alex G. C. de Sá Alex Guimarães Cardoso de Sá Khalid M. Salama Saïd Salhi Miquel Sànchez-Marrè Alexandre Denes Santos Ken Satoh Jack D. Saunders Andrew Secker Marc Segond Elaine Rangel Seixas Flávio Luiz Seixas Sandip Sen Stephen Serjeant Carlos Nascimento Silla Jr. Monique M. S. Silva Pablo Nascimento da Silva James Smaldon Maria Teresinha Arns Steiner Jerry Swan Catherine Tessier Simon J. Thompson Jonathan TimmisJon Timmis Renato Tinós Stefania Tommasi Denise Fukumi Tsunoda Jennifer M. A. Tullet Elise H. Turner Roy M. Turner Massimo Vergassola Fabricio de B. Voznika Cen Wan Daniela Wieser Elwood Wilkins Steven Willmott John R. Woodward João Carlos Xavier Jr.João C. Xavier JuniorJoão Carlos Xavier Junior Akebo Yamakami Bianca Zadrozny Luis E. ZárateLuis Enrique Zárate Yalin Zheng