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A. Freitas · SciRah

Researcher profile · Semantic Scholar

A. Freitas

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A. Freitas — researcher profile on SciRah

h-index: 62
Works: 340
Citations: 15K

Most-cited papers

Comprehensible classification models: a position paper
A. Freitas
2014SKDD673 citations
Semantic Scholar
The CAFA challenge reports improved protein function prediction and new functional annotations for hundreds of genes through experimental screens
Nai-Hui Zhou, Yuxiang Jiang, T. Bergquist, Alexandra J. Lee +163 more
2019Genome Biology451 citations Open access
Semantic Scholar
An extensive evaluation of seven machine learning methods for rainfall prediction in weather derivatives
Sam Cramer, Michael Kampouridis, A. Freitas, A. Alexandridis
2017Expert systems with applications196 citations Open access
Semantic Scholar
A review of supervised machine learning applied to ageing research
Fábio Fabris, J. D. de Magalhães, A. Freitas
2017Biogerontology (Dordrecht)121 citations Open access
Semantic Scholar
A New Sequential Covering Strategy for Inducing Classification Rules With Ant Colony Algorithms
F. E. B. Otero, A. Freitas, Colin G. Johnson
2013IEEE Transactions on Evolutionary Computation112 citations Open access
Semantic Scholar
Automatic Design of Decision-Tree Induction Algorithms
Rodrigo C. Barros, André C. P. L. F. de Carvalho, A. Freitas
2015SpringerBriefs in Computer Science106 citations Open access
Semantic Scholar
Contrasting meta-learning and hyper-heuristic research: the role of evolutionary algorithms
G. Pappa, Gabriela Ochoa, M. Hyde, A. Freitas +2 more
2013Genetic Programming and Evolvable Machines106 citations
Semantic Scholar
Ageing transcriptome meta-analysis reveals similarities and differences between key mammalian tissues
Daniel Palmer, Fábio Fabris, Aoife Doherty, A. Freitas +1 more
2021Aging97 citations Open access
Semantic Scholar
Decision trees to characterise the roles of permeability and solubility on the prediction of oral absorption.
Danielle Newby, A. Freitas, T. Ghafourian
2015European journal of medicinal chemistry90 citations Open access
Semantic Scholar
Evolutionary Design of Decision-Tree Algorithms Tailored to Microarray Gene Expression Data Sets
Rodrigo C. Barros, M. Basgalupp, A. Freitas, André C. P. L. F. de Carvalho
2014IEEE Transactions on Evolutionary Computation71 citations Open access
Semantic Scholar
A novel applicability domain technique for mapping predictive reliability across the chemical space of a QSAR: reliability-density neighbourhood
Natália Aniceto, A. Freitas, A. Bender, T. Ghafourian
2016Journal of Cheminformatics67 citations Open access
Semantic Scholar
A new approach for interpreting Random Forest models and its application to the biology of ageing
Fábio Fabris, Aoife Doherty, Daniel Palmer, J. D. de Magalhães +1 more
2018Bioinform.64 citations Open access
Semantic Scholar
Multi-objective genetic algorithms in the study of the genetic code's adaptability
L. L. de Oliveira, A. Freitas, R. Tinós
2018Information Sciences60 citations Open access
Semantic Scholar
Utilizing multiple pheromones in an ant-based algorithm for continuous-attribute classification rule discovery
Khalid M. Salama, A. Abdelbar, F. E. B. Otero, A. Freitas
2013Applied Soft Computing47 citations Open access
Semantic Scholar
Predicting the Pro-Longevity or Anti-Longevity Effect of Model Organism Genes with New Hierarchical Feature Selection Methods
Cen Wan, A. Freitas, J. D. de Magalhães
2015IEEE/ACM Transactions on Computational Biology & Bioinformatics45 citations
Semantic Scholar
A data-driven missing value imputation approach for longitudinal datasets
C. Ribeiro, A. Freitas
2021Artificial Intelligence Review41 citations Open access
Semantic Scholar
An empirical evaluation of hierarchical feature selection methods for classification in bioinformatics datasets with gene ontology-based features
Cen Wan, A. Freitas
2017Artificial Intelligence Review41 citations Open access
Semantic Scholar
Automated Selection and Configuration of Multi-Label Classification Algorithms with Grammar-Based Genetic Programming
A. D. de Sá, A. Freitas, G. Pappa
2018Parallel Problem Solving from Nature36 citations
Semantic Scholar
Predicting volume of distribution with decision tree-based regression methods using predicted tissue:plasma partition coefficients
A. Freitas, K. Limbu, T. Ghafourian
2015Journal of Cheminformatics36 citations Open access
Semantic Scholar
An Extensive Evaluation of Decision Tree–Based Hierarchical Multilabel Classification Methods and Performance Measures
Ricardo Cerri, G. Pappa, André C. P. L. F. de Carvalho, A. Freitas
2015International Conference on Climate Informatics36 citations
Semantic Scholar
Automatic Design of Decision-Tree Algorithms with Evolutionary Algorithms
Rodrigo C. Barros, M. Basgalupp, André C. P. L. F. de Carvalho, A. Freitas
2013Evolutionary Computation36 citations Open access
Semantic Scholar
Two Extensions to Multi-label Correlation-Based Feature Selection: A Case Study in Bioinformatics
Suwimol Jungjit, M. Michaelis, A. Freitas, J. Cinatl
2013IEEE International Conference on Systems, Man and Cybernetics35 citations
Semantic Scholar
Simpler is Better: a Novel Genetic Algorithm to Induce Compact Multi-label Chain Classifiers
E. Gonçalves, A. Plastino, A. Freitas
2015Annual Conference on Genetic and Evolutionary Computation29 citations
Semantic Scholar
Distinct Chains for Different Instances: An Effective Strategy for Multi-label Classifier Chains
Pablo Nascimento da Silva, E. Gonçalves, A. Plastino, A. Freitas
2014ECML/PKDD29 citations Open access
Semantic Scholar
A Lexicographic Multi-Objective Genetic Algorithm for Multi-Label Correlation Based Feature Selection
Suwimol Jungjit, A. Freitas
2015Annual Conference on Genetic and Evolutionary Computation26 citations
Semantic Scholar
Pre-processing Feature Selection for Improved C&RT Models for Oral Absorption
Danielle Newby, A. Freitas, T. Ghafourian
2013Journal of Chemical Information and Modeling24 citations
Semantic Scholar
Ant colony algorithms for constructing Bayesian multi-net classifiers
Khalid M. Salama, A. Freitas
2015Intelligent Data Analysis23 citations
Semantic Scholar
Probabilistic Clustering for Hierarchical Multi-Label Classification of Protein Functions
Rodrigo C. Barros, Ricardo Cerri, A. Freitas, André C. P. L. F. de Carvalho
2013ECML/PKDD23 citations Open access
Semantic Scholar
An Extensive Empirical Comparison of Probabilistic Hierarchical Classifiers in Datasets of Ageing-Related Genes
Fábio Fabris, A. Freitas, Jennifer M. A. Tullet
2016IEEE/ACM Transactions on Computational Biology & Bioinformatics22 citations
Semantic Scholar
Automated Machine Learning for Studying the Trade-Off Between Predictive Accuracy and Interpretability
A. Freitas
2019International Cross-Domain Conference on Machine Learning and Knowledge Extraction21 citations Open access
Semantic Scholar
Decomposition genetic programming: An extensive evaluation on rainfall prediction in the context of weather derivatives
Sam Cramer, Michael Kampouridis, A. Freitas
2018Applied Soft Computing21 citations Open access
Semantic Scholar
Towards a method for automatically selecting and configuring multi-label classification algorithms
A. D. de Sá, G. Pappa, A. Freitas
2017Annual Conference on Genetic and Evolutionary Computation21 citations
Semantic Scholar
Evolving decision trees with beam search-based initialization and lexicographic multi-objective evaluation
M. Basgalupp, Rodrigo C. Barros, André C. P. L. F. de Carvalho, A. Freitas
2014Information Sciences21 citations
Semantic Scholar
A survey of evolutionary algorithms for supervised ensemble learning
Henry E. L. Cagnini, Silvia C. N. Das Dôres, A. Freitas, Rodrigo C. Barros
2023Knowledge engineering review (Print)19 citations Open access
Semantic Scholar
Analysing the Overfit of the Auto-sklearn Automated Machine Learning Tool
Fábio Fabris, A. Freitas
2019International Conference on Machine Learning, Optimization, and Data Science19 citations
Semantic Scholar
Comparing enrichment analysis and machine learning for identifying gene properties that discriminate between gene classes
Fábio Fabris, Daniel Palmer, J. D. de Magalhães, A. Freitas
2019Briefings Bioinform.19 citations
Semantic Scholar
Using deep learning to associate human genes with age-related diseases
Fábio Fabris, Daniel Palmer, Khalid M. Salama, J. D. de Magalhães +1 more
2019Bioinform.18 citations Open access
Semantic Scholar
A Novel Genetic Algorithm for Feature Selection in Hierarchical Feature Spaces
Pablo Nascimento da Silva, A. Plastino, A. Freitas
2018SDM18 citations Open access
Semantic Scholar
Two methods for constructing a gene ontology-based feature network for a Bayesian network classifier and applications to datasets of aging-related genes
Cen Wan, A. Freitas
2015ACM International Conference on Bioinformatics, Computational Biology and Biomedicine18 citations Open access
Semantic Scholar
Predicting Rainfall in the Context of Rainfall Derivatives Using Genetic Programming
Sam Cramer, Michael Kampouridis, A. Freitas, A. Alexandridis
2015IEEE Symposium Series on Computational Intelligence18 citations
Semantic Scholar
New KEGG pathway-based interpretable features for classifying ageing-related mouse proteins
Fábio Fabris, A. Freitas
2016Bioinform.17 citations Open access
Semantic Scholar
Extending multi-label feature selection with KEGG pathway information for microarray data analysis
Suwimol Jungjit, M. Michaelis, A. Freitas, J. Cinatl
20142014 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology17 citations
Semantic Scholar
A Survey of Genetic Algorithms for Multi-Label Classification
E. Gonçalves, A. Freitas, A. Plastino
2018IEEE Congress on Evolutionary Computation16 citations
Semantic Scholar
Stochastic model genetic programming: Deriving pricing equations for rainfall weather derivatives
Sam Cramer, Michael Kampouridis, A. Freitas, A. Alexandridis
2019Swarm and Evolutionary Computation14 citations Open access
Semantic Scholar
A Novel Evolutionary Algorithm for Automated Machine Learning Focusing on Classifier Ensembles
João C. Xavier-Júnior, A. Freitas, Antonino Feitosa-Neto, Teresa B Ludermir
2018Brazilian Conference on Intelligent Systems14 citations
Semantic Scholar
A revision and analysis of the comprehensiveness of the main longitudinal studies of human aging for data mining research
C. Ribeiro, L. H. Brito, C. Nobre, A. Freitas +1 more
2017WIREs Data Mining Knowl. Discov.14 citations Open access
Semantic Scholar
Comparing multilabel classification methods for provisional biopharmaceutics class prediction.
Danielle Newby, A. Freitas, T. Ghafourian
2015Molecular Pharmaceutics14 citations Open access
Semantic Scholar
A new genetic algorithm for multi-label correlation-based feature selection
Suwimol Jungjit, A. Freitas
2015The European Symposium on Artificial Neural Networks14 citations
Semantic Scholar
Feature Selection for the Classification of Longitudinal Human Ageing Data
Tossapol Pomsuwan, A. Freitas
20172017 IEEE International Conference on Data Mining Workshops (ICDMW)13 citations Open access
Semantic Scholar
Clustering-based Bayesian Multi-net Classifier construction with Ant Colony Optimization
Khalid M. Salama, A. Freitas
2013IEEE Congress on Evolutionary Computation13 citations
Semantic Scholar

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J. D. de Magalhães×6
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Rodrigo C. Barros×6
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