André C. P. L. F. de Carvalho
Orcid: 0000-0002-4765-6459Affiliations:
- University of São Paulo, Department of Computer Science, Brazil
According to our database1,
André C. P. L. F. de Carvalho
authored at least 404 papers
between 1994 and 2024.
Collaborative distances:
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Bibliography
2024
Knowl. Inf. Syst., January, 2024
Inf. Fusion, January, 2024
Proceedings of the 19th International Joint Conference on Computer Vision, 2024
Natural Language Processing Application in Legislative Activity: a Case Study of Similar Amendments in the Brazilian Senate.
Proceedings of the 16th International Conference on Computational Processing of Portuguese, 2024
UlyssesNERQ: Expanding Queries from Brazilian Portuguese Legislative Documents through Named Entity Recognition.
Proceedings of the 16th International Conference on Computational Processing of Portuguese, 2024
2023
Inf. Sci., November, 2023
IEEE Trans. Neural Networks Learn. Syst., October, 2023
Neural Networks, April, 2023
Hyper-parameter initialization of classification algorithms using dynamic time warping: A perspective on PCA meta-features.
Appl. Soft Comput., February, 2023
Proces. del Leng. Natural, 2023
tsMorph: generation of semi-synthetic time series to understand algorithm performance.
CoRR, 2023
Feature Selection using Complex Networks to Support Price Trend Forecast in Energy Markets.
Proceedings of the International Joint Conference on Neural Networks, 2023
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2023, 2023
The Strength of Influence Ties in Stock Networks: Empirical Analysis for Portfolio Selection.
Proceedings of the IEEE International Conference on Data Mining, 2023
Proceedings of the Hybrid Artificial Intelligent Systems - 18th International Conference, 2023
Proceedings of the Hybrid Artificial Intelligent Systems - 18th International Conference, 2023
On the Assessment of Deep Learning Models for Named Entity Recognition of Brazilian Legal Documents.
Proceedings of the Progress in Artificial Intelligence, 2023
2022
Information Theory for Biological Sequence Classification: A Novel Feature Extraction Technique Based on Tsallis Entropy.
Entropy, 2022
An agent-based approach to procedural city generation incorporating Land Use and Transport Interaction models.
CoRR, 2022
CoRR, 2022
No Pattern, No Recognition: a Survey about Reproducibility and Distortion Issues of Text Clustering and Topic Modeling.
CoRR, 2022
Lessons learned from the NeurIPS 2021 MetaDL challenge: Backbone fine-tuning without episodic meta-learning dominates for few-shot learning image classification.
CoRR, 2022
MathFeature: feature extraction package for DNA, RNA and protein sequences based on mathematical descriptors.
Briefings Bioinform., 2022
BioAutoML: automated feature engineering and metalearning to predict noncoding RNAs in bacteria.
Briefings Bioinform., 2022
UlyssesNER-Br: A Corpus of Brazilian Legislative Documents for Named Entity Recognition.
Proceedings of the Computational Processing of the Portuguese Language, 2022
Machine Learning Approach for Trend Prediction to Improve Returns on Brazilian Energy Market.
Proceedings of the 2022 IEEE Latin American Conference on Computational Intelligence (LA-CCI), 2022
Proceedings of the Progress in Artificial Intelligence, 2022
Proceedings of the Progress in Artificial Intelligence, 2022
Proceedings of the Progress in Artificial Intelligence, 2022
Expanding UlyssesNER-Br Named Entity Recognition Corpus with Informal User-Generated Text.
Proceedings of the Progress in Artificial Intelligence, 2022
Ulysses-RFSQ: A Novel Method to Improve Legal Information Retrieval Based on Relevance Feedback.
Proceedings of the Intelligent Systems - 11th Brazilian Conference, 2022
2021
Pattern Recognit. Lett., 2021
HumanMetagenomeDB: a public repository of curated and standardized metadata for human metagenomes.
Nucleic Acids Res., 2021
Nucleic Acids Res., 2021
J. Real Time Image Process., 2021
Neurocomputing, 2021
Performance evaluation of outlier rules for labelling outliers in multidimensional dataset.
Int. J. Bus. Intell. Data Min., 2021
An extensive experimental evaluation of automated machine learning methods for recommending classification algorithms.
Evol. Intell., 2021
CoRR, 2021
Predictable universally unique identification of sequential events on complex objects.
CoRR, 2021
CoRR, 2021
DropLeaf: A precision farming smartphone tool for real-time quantification of pesticide application coverage.
Comput. Electron. Agric., 2021
Feature extraction approaches for biological sequences: a comparative study of mathematical features.
Briefings Bioinform., 2021
Proceedings of the Advances in Bioinformatics and Computational Biology, 2021
Feature Importance Analysis of Non-coding DNA/RNA Sequences Based on Machine Learning Approaches.
Proceedings of the Advances in Bioinformatics and Computational Biology, 2021
Lessons learned from the NeurIPS 2021 MetaDL challenge: Backbone fine-tuning without episodic meta-learning dominates for few-shot learning image classification.
Proceedings of the NeurIPS 2021 Competitions and Demonstrations Track, 2021
An Information Retrieval Pipeline for Legislative Documents from the Brazilian Chamber of Deputies.
Proceedings of the Legal Knowledge and Information Systems, 2021
Proceedings of the Advances in Computational Intelligence, 2021
Proceedings of the 2021 International Conference on Data Mining, 2021
Seasonal-Trend decomposition based on Loess + Machine Learning: Hybrid Forecasting for Monthly Univariate Time Series.
Proceedings of the International Joint Conference on Neural Networks, 2021
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2021, 2021
Evaluate Pseudo Labeling and CNN for Multi-variate Time Series Classification in Low-Data Regimes.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021
Evaluating Topic Models in Portuguese Political Comments About Bills from Brazil's Chamber of Deputies.
Proceedings of the Intelligent Systems - 10th Brazilian Conference, 2021
Proceedings of the Intelligent Systems - 10th Brazilian Conference, 2021
2020
Ensemble of Classifiers Based on Multiobjective Genetic Sampling for Imbalanced Data.
IEEE Trans. Knowl. Data Eng., 2020
An intelligent and generic approach for detecting human emotions: a case study with facial expressions.
Soft Comput., 2020
An empirical analysis of binary transformation strategies and base algorithms for multi-label learning.
Mach. Learn., 2020
A Meta-learning approach for recommending the number of clusters for clustering algorithms.
Knowl. Based Syst., 2020
Intell. Data Anal., 2020
An Extensive Experimental Evaluation of Automated Machine Learning Methods for Recommending Classification Algorithms (Extended Version).
CoRR, 2020
DropLeaf: a precision farming smartphone application for measuring pesticide spraying methods.
CoRR, 2020
Rethinking Default Values: a Low Cost and Efficient Strategy to Define Hyperparameters.
CoRR, 2020
Characterizing the Impact of Social Inequality on COVID-19 Propagation in Developing Countries.
IEEE Access, 2020
A Novel Decomposing Model With Evolutionary Algorithms for Feature Selection in Long Non-Coding RNAs.
IEEE Access, 2020
Combining Mutation and Gene Network Data in a Machine Learning Approach for False-Positive Cancer Driver Gene Discovery.
Proceedings of the Advances in Bioinformatics and Computational Biology, 2020
Evaluation of Error Metrics for Meta-learning Label Definition in the Forecasting Task.
Proceedings of the Hybrid Artificial Intelligent Systems - 15th International Conference, 2020
Proceedings of the Intelligent Systems - 9th Brazilian Conference, 2020
Proceedings of the Intelligent Systems - 9th Brazilian Conference, 2020
2019
Pattern Recognit. Lett., 2019
Knowl. Based Syst., 2019
Inf. Sci., 2019
A meta-learning recommender system for hyperparameter tuning: Predicting when tuning improves SVM classifiers.
Inf. Sci., 2019
Evolutionary inversion of class distribution in overlapping areas for multi-class imbalanced learning.
Inf. Sci., 2019
Special issue HAIS 2014: Recent advancements in hybrid artificial intelligence systems and its application to real-world problems.
Neurocomputing, 2019
CoRR, 2019
Experimental correlation analysis of bicluster coherence measures and gene ontology information.
Appl. Soft Comput., 2019
Appl. Soft Comput., 2019
Proceedings of the 14th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2019), 2019
Gradient Boosting Machine and LSTM Network for Online Harassment Detection and Categorization in Social Media.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019
Local Interpretation Methods to Machine Learning Using the Domain of the Feature Space.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019
Fraud Detection Using Explainable Machine Learning Algorithms.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2019
Proceedings of the International Joint Conference on Neural Networks, 2019
Proceedings of the International Joint Conference on Neural Networks, 2019
Proceedings of the Variable Neighborhood Search - 7th International Conference, 2019
Improving Portfolio Optimization Using Weighted Link Prediction in Dynamic Stock Networks.
Proceedings of the Computational Science - ICCS 2019, 2019
Feature-Based Time Series Classification for Service Request Opening Prediction in the Telecom Industry.
Proceedings of the Progress in Artificial Intelligence, 2019
Improving the AHT in Telecommunication Companies by Automatic Modeling of Call Center Service.
Proceedings of the Progress in Artificial Intelligence, 2019
Proceedings of the Progress in Artificial Intelligence, 2019
Proceedings of the Discovery Science - 22nd International Conference, 2019
Proceedings of the 8th Brazilian Conference on Intelligent Systems, 2019
Proceedings of the 8th Brazilian Conference on Intelligent Systems, 2019
Selecting the Most Relevant Features for the Identification of Long Non-Coding RNAs in Plants.
Proceedings of the 8th Brazilian Conference on Intelligent Systems, 2019
Proceedings of the 8th Brazilian Conference on Intelligent Systems, 2019
A non-negative matrix factorization approach to update communities in temporal networks using node features.
Proceedings of the ASONAM '19: International Conference on Advances in Social Networks Analysis and Mining, 2019
2018
Strict Very Fast Decision Tree: A memory conservative algorithm for data stream mining.
Pattern Recognit. Lett., 2018
Metalearning and Recommender Systems: A literature review and empirical study on the algorithm selection problem for Collaborative Filtering.
Inf. Sci., 2018
Special issue SOCO 2014: Recent advancements in soft computing and its application in industrial and environmental problems.
Neurocomputing, 2018
Intell. Data Anal., 2018
Expert Syst. J. Knowl. Eng., 2018
CoRR, 2018
cf2vec: Collaborative Filtering algorithm selection using graph distributed representations.
CoRR, 2018
Algorithm Selection for Collaborative Filtering: the influence of graph metafeatures and multicriteria metatargets.
CoRR, 2018
S^2FS : Single Score Feature Selection Applied to the Problem of Distinguishing Long Non-coding RNAs from Protein Coding Transcripts.
Proceedings of the Advances in Bioinformatics and Computational Biology, 2018
A smartphone application to measure the quality of pest control spraying machines via image analysis.
Proceedings of the 33rd Annual ACM Symposium on Applied Computing, 2018
A label ranking approach for selecting rankings of collaborative filtering algorithms.
Proceedings of the 33rd Annual ACM Symposium on Applied Computing, 2018
CF4CF: recommending collaborative filtering algorithms using collaborative filtering.
Proceedings of the 12th ACM Conference on Recommender Systems, 2018
Statistical versus Distance-Based Meta-Features for Clustering Algorithm recommendation Using Meta-Learning.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
Multi-label Feature Selection Techniques for Hierarchical Multi-label Protein Function Prediction.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2018, 2018
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2018, 2018
Proceedings of the Intelligent Computing Theories and Application, 2018
A comparative analysis of the automatic modeling of Learning Styles through Machine Learning techniques.
Proceedings of the IEEE Frontiers in Education Conference, 2018
Proceedings of the Discovery Science - 21st International Conference, 2018
Proceedings of the 7th Brazilian Conference on Intelligent Systems, 2018
Proceedings of the 7th Brazilian Conference on Intelligent Systems, 2018
Proceedings of the 7th Brazilian Conference on Intelligent Systems, 2018
Proceedings of the 7th Brazilian Conference on Intelligent Systems, 2018
2017
Nat. Comput., 2017
Intell. Data Anal., 2017
Intell. Data Anal., 2017
Comput. Oper. Res., 2017
Comput. Electron. Agric., 2017
Metalearning for Context-aware Filtering: Selection of Tensor Factorization Algorithms.
Proceedings of the Eleventh ACM Conference on Recommender Systems, 2017
Using a multi-objective artificial immune system approach for biodiversity conservation.
Proceedings of the 13th International Conference on Natural Computation, 2017
Proceedings of the Progress in Artificial Intelligence, 2017
Proceedings of the Discovery Science - 20th International Conference, 2017
Anomaly Detection Through Temporal Abstractions on Intensive Care Data: Position Paper.
Proceedings of the 30th IEEE International Symposium on Computer-Based Medical Systems, 2017
Proceedings of the 2017 Brazilian Conference on Intelligent Systems, 2017
A Machine Learning-Based Approach for Prediction of Plant Protection Product Deposition.
Proceedings of the 2017 Brazilian Conference on Intelligent Systems, 2017
2016
Knowl. Based Syst., 2016
Endowing a Content-Based Medical Image Retrieval System with Perceptual Similarity Using Ensemble Strategy.
J. Digit. Imaging, 2016
Meta-learning to select the best meta-heuristic for the Traveling Salesman Problem: A comparison of meta-features.
Neurocomputing, 2016
Recent advancements in hybrid artificial intelligence systems and its application to real-world problems.
Neurocomputing, 2016
Fine-Tuning of UAV Control Rules for Spraying Pesticides on Crop Fields: An Approach for Dynamic Environments.
Int. J. Artif. Intell. Tools, 2016
Data Min. Knowl. Discov., 2016
Reduction strategies for hierarchical multi-label classification in protein function prediction.
BMC Bioinform., 2016
Proceedings of the 31st Annual ACM Symposium on Applied Computing, 2016
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016
Proceedings of the IEEE 17th International Conference on Mobile Data Management, 2016
Proceedings of the Intelligent Systems Design and Applications, 2016
Proceedings of the 5th Brazilian Conference on Intelligent Systems, 2016
Proceedings of the 5th Brazilian Conference on Intelligent Systems, 2016
DualRadviz: Preserving Context between Classification Evaluation and Data Exploration with RadViz.
Proceedings of the 5th Brazilian Conference on Intelligent Systems, 2016
2015
Springer Briefs in Computer Science, Springer, ISBN: 978-3-319-14231-9, 2015
IEEE Trans. Knowl. Data Eng., 2015
Using the One-vs-One decomposition to improve the performance of class noise filters via an aggregation strategy in multi-class classification problems.
Knowl. Based Syst., 2015
J. Intell. Robotic Syst., 2015
Special issue HAIS 2012: Recent advancements in hybrid artificial intelligence systems and its application to real-world problems.
Neurocomputing, 2015
Neurocomputing, 2015
A Projection Pursuit framework for supervised dimension reduction of high dimensional small sample datasets.
Neurocomputing, 2015
Investigating fitness functions for a hyper-heuristic evolutionary algorithm in the context of balanced and imbalanced data classification.
Genet. Program. Evolvable Mach., 2015
An Extensive Evaluation of Decision Tree-Based Hierarchical Multilabel Classification Methods and Performance Measures.
Comput. Intell., 2015
Meta-learning Recommendation of Default Hyper-parameter Values for SVMs in Classification Tasks.
Proceedings of the 2015 International Workshop on Meta-Learning and Algorithm Selection co-located with European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases 2015 (ECMLPKDD 2015), 2015
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015
To tune or not to tune: Recommending when to adjust SVM hyper-parameters via meta-learning.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015
Hierarchical classification of Gene Ontology-based protein functions with neural networks.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015
Using Multi-Objective Artificial Immune Systems to Find Core Collections Based on Molecular Markers.
Proceedings of the Genetic and Evolutionary Computation Conference, 2015
A Multi-objective Optimization Approach Associated to Climate Change Analysis to Improve Systematic Conservation Planning.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2015
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015
Proceedings of the 2015 Brazilian Conference on Intelligent Systems, 2015
Proceedings of the 2015 Brazilian Conference on Intelligent Systems, 2015
Proceedings of the 2015 Brazilian Conference on Intelligent Systems, 2015
2014
Evolutionary Design of Decision-Tree Algorithms Tailored to Microarray Gene Expression Data Sets.
IEEE Trans. Evol. Comput., 2014
J. Comput. Syst. Sci., 2014
Evolving decision trees with beam search-based initialization and lexicographic multi-objective evaluation.
Inf. Sci., 2014
MetaStream: A meta-learning based method for periodic algorithm selection in time-changing data.
Neurocomputing, 2014
A hybrid meta-learning architecture for multi-objective optimization of SVM parameters.
Neurocomputing, 2014
Intell. Data Anal., 2014
BMC Bioinform., 2014
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014
PVis - Partitions' visualizer: Extracting knowledge by visualizing a collection of partitions.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014
Proceedings of the 26th IEEE International Conference on Tools with Artificial Intelligence, 2014
Comparison of Active Learning Strategies and Proposal of a Multiclass Hypothesis Space Search.
Proceedings of the Hybrid Artificial Intelligence Systems - 9th International Conference, 2014
Multi-objective optimization applied to systematic conservation planning and spatial conservation priorities under climate change.
Proceedings of the Genetic and Evolutionary Computation Conference, 2014
Evolving relational hierarchical classification rules for predicting gene ontology-based protein functions.
Proceedings of the Genetic and Evolutionary Computation Conference, 2014
Proceedings of the Engineering Applications of Neural Networks, 2014
Proceedings of the 2014 Brazilian Conference on Intelligent Systems, 2014
Proceedings of the 2014 Brazilian Conference on Intelligent Systems, 2014
2013
Hierarchical Bottom-Up Safe Semi-Supervised Support Vector Machines for Multi-Class Transductive Learning.
J. Inf. Data Manag., 2013
Int. J. Hybrid Intell. Syst., 2013
Evol. Comput., 2013
Data Min. Knowl. Discov., 2013
Proceedings of the 28th Annual ACM Symposium on Applied Computing, 2013
Proceedings of the 28th Annual ACM Symposium on Applied Computing, 2013
Probabilistic Clustering for Hierarchical Multi-Label Classification of Protein Functions.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013
Proceedings of the Hybrid Artificial Intelligent Systems - 8th International Conference, 2013
Proceedings of the Genetic and Evolutionary Computation Conference, 2013
A grammatical evolution algorithm for generation of Hierarchical Multi-Label Classification rules.
Proceedings of the IEEE Congress on Evolutionary Computation, 2013
Proceedings of the Brazilian Conference on Intelligent Systems, 2013
Proceedings of the Brazilian Conference on Intelligent Systems, 2013
2012
IEEE Trans. Syst. Man Cybern. Part C, 2012
Clus-DTI: improving decision-tree classification with a clustering-based decision-tree induction algorithm.
J. Braz. Comput. Soc., 2012
Combining meta-learning and search techniques to select parameters for support vector machines.
Neurocomputing, 2012
Automatic design of decision-tree induction algorithms tailored to flexible-receptor docking data.
BMC Bioinform., 2012
Combining a multi-objective optimization approach with meta-learning for SVM parameter selection.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2012
Proceedings of the 2012 Brazilian Symposium on Neural Networks, 2012
Proceedings of the 2012 Brazilian Symposium on Neural Networks, 2012
Combining Meta-Learning with Multi-objective Particle Swarm Algorithms for SVM Parameter Selection: An Experimental Analysis.
Proceedings of the 2012 Brazilian Symposium on Neural Networks, 2012
Proceedings of the 2012 Brazilian Symposium on Neural Networks, 2012
Improving the offline clustering stage of data stream algorithms in scenarios with variable number of clusters.
Proceedings of the ACM Symposium on Applied Computing, 2012
Proceedings of the ACM Symposium on Applied Computing, 2012
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012
A Meta-Learning Approach to Select Meta-Heuristics for the Traveling Salesman Problem Using MLP-Based Label Ranking.
Proceedings of the Neural Information Processing - 19th International Conference, 2012
An Experimental Study of the Combination of Meta-Learning with Particle Swarm Algorithms for SVM Parameter Selection.
Proceedings of the Computational Science and Its Applications - ICCSA 2012, 2012
Proceedings of the Hybrid Artificial Intelligent Systems - 7th International Conference, 2012
Proceedings of the Genetic and Evolutionary Computation Conference, 2012
A hyper-heuristic evolutionary algorithm for automatically designing decision-tree algorithms.
Proceedings of the Genetic and Evolutionary Computation Conference, 2012
2011
J. Braz. Comput. Soc., 2011
Int. J. Hybrid Intell. Syst., 2011
Log. J. IGPL, 2011
Adapting non-hierarchical multilabel classification methods for hierarchical multilabel classification.
Intell. Data Anal., 2011
Expert Syst. Appl., 2011
Proceedings of the Advances in Bioinformatics and Computational Biology, 2011
Hierarchical multi-label classification for protein function prediction: A local approach based on neural networks.
Proceedings of the 11th International Conference on Intelligent Systems Design and Applications, 2011
Proceedings of the 11th International Conference on Intelligent Systems Design and Applications, 2011
Proceedings of the 11th International Conference on Intelligent Systems Design and Applications, 2011
Proceedings of the IEEE 23rd International Conference on Tools with Artificial Intelligence, 2011
Proceedings of the 10th International Conference on Machine Learning and Applications and Workshops, 2011
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011
2010
Proceedings of the Web Intelligence and Security, 2010
Modelo Estatístico para a Determinação do Número Ótimo de Iterações do Filtro de Difusão Anisotrópica Aplicado à Redução de Ruído de Imagens de Ressonância Magnética do Cérebro.
RITA, 2010
Neurocomputing, 2010
Comput. Oper. Res., 2010
A Study of the Influence of Rule Measures in Classifiers Induced by Evolutionary Algorithms.
IEEE Intell. Informatics Bull., 2010
Proceedings of the 11th Brazilian Symposium on Neural Networks (SBRN 2010), 2010
Proceedings of the 11th Brazilian Symposium on Neural Networks (SBRN 2010), 2010
Proceedings of the 11th Brazilian Symposium on Neural Networks (SBRN 2010), 2010
Hierarchical Multilabel Classification Using Top-Down Label Combination and Artificial Neural Networks.
Proceedings of the 11th Brazilian Symposium on Neural Networks (SBRN 2010), 2010
Data Stream Mining Algorithms for Building Decision Models in a Computer Role-Playing Game Simulation.
Proceedings of the 2010 Brazilian Symposium on Games and Digital Entertainment, 2010
Proceedings of the 2010 ACM Symposium on Applied Computing (SAC), 2010
Proceedings of the International Joint Conference on Neural Networks, 2010
Proceedings of the International Joint Conference on Neural Networks, 2010
Empirical Evaluation of Ranking Prediction Methods for Gene Expression Data Classification.
Proceedings of the Advances in Artificial Intelligence, 2010
2009
Proceedings of the Foundations of Computational Intelligence, 2009
Proceedings of the Foundations of Computational Intelligence, 2009
IEEE Trans. Syst. Man Cybern. Part C, 2009
J. Braz. Comput. Soc., 2009
Neurocomputing, 2009
Int. J. Intell. Comput. Cybern., 2009
Evaluation Functions for the Evolutionary Design of Multiclass Support Vector Machines.
Int. J. Comput. Intell. Appl., 2009
Int. J. Bio Inspired Comput., 2009
Comparing Methods for Multilabel Classification of Proteins Using Machine Learning Techniques.
Proceedings of the Advances in Bioinformatics and Computational Biology, 2009
LEGAL-tree: a lexicographic multi-objective genetic algorithm for decision tree induction.
Proceedings of the 2009 ACM Symposium on Applied Computing (SAC), 2009
Proceedings of the Hybrid Artificial Intelligence Systems, 4th International Conference, 2009
The multi-label OCS with a genetic algorithm for rule discovery: implementation and first results.
Proceedings of the Genetic and Evolutionary Computation Conference, 2009
2008
Proceedings of the Soft Computing for Knowledge Discovery and Data Mining, 2008
Proceedings of the Soft Computing for Knowledge Discovery and Data Mining, 2008
Investigation of Strategies for the Generation of Multiclass Support Vector Machines.
Proceedings of the New Challenges in Applied Intelligence Technologies, 2008
Computational Intelligence Applied to the Automatic Monitoring of Dressing Operations in an Industrial CNC Machine.
Proceedings of the Advances of Computational Intelligence in Industrial Systems, 2008
RITA, 2008
Kybernetes, 2008
Neurocomputing, 2008
Int. J. Artif. Intell. Tools, 2008
Artif. Intell. Rev., 2008
Top-Down Hierarchical Ensembles of Classifiers for Predicting G-Protein-Coupled-Receptor Functions.
Proceedings of the Advances in Bioinformatics and Computational Biology, 2008
Proceedings of the 10th Brazilian Symposium on Neural Networks (SBRN 2008), 2008
Proceedings of the 10th Brazilian Symposium on Neural Networks (SBRN 2008), 2008
A Strategyfor the Selection of Solutions of the Pareto Front Approximation in Multi-objective Clustering Approaches.
Proceedings of the 10th Brazilian Symposium on Neural Networks (SBRN 2008), 2008
Cluster-based novel concept detection in data streams applied to intrusion detection in computer networks.
Proceedings of the 2008 ACM Symposium on Applied Computing (SAC), 2008
Proceedings of the 2008 ACM Symposium on Applied Computing (SAC), 2008
Proceedings of the New Frontiers in Applied Artificial Intelligence, 2008
Bioinspired Parameter Tuning of MLP Networks for Gene Expression Analysis: Quality of Fitness Estimates vs. Number of Solutions Analysed.
Proceedings of the Advances in Neuro-Information Processing, 15th International Conference, 2008
Proceedings of the Advances in Neuro-Information Processing, 15th International Conference, 2008
Proceedings of the Advances in Neuro-Information Processing, 15th International Conference, 2008
Proceedings of the 8th International Conference on Hybrid Intelligent Systems (HIS 2008), 2008
Proceedings of the 8th International Conference on Hybrid Intelligent Systems (HIS 2008), 2008
A new approach for multi-label classification based on default hierarchies and organizational learning.
Proceedings of the Genetic and Evolutionary Computation Conference, 2008
Proceedings of the IEEE Congress on Evolutionary Computation, 2008
2007
Applying genetic algorithms and support vector machines to the gene selection problem.
J. Intell. Fuzzy Syst., 2007
J. Intell. Fuzzy Syst., 2007
Development of a dressing monitoring system through artificial intelligence and acoustic maps for high performance grinding.
Int. J. Manuf. Technol. Manag., 2007
Protein cellular localization prediction with Support Vector Machines and Decision Trees.
Comput. Biol. Medicine, 2007
Proceedings of the Advances in Bioinformatics and Computational Biology, 2007
Comparing Several Approaches for Hierarchical Classification of Proteins with Decision Trees.
Proceedings of the Advances in Bioinformatics and Computational Biology, 2007
OLINDDA: a cluster-based approach for detecting novelty and concept drift in data streams.
Proceedings of the 2007 ACM Symposium on Applied Computing (SAC), 2007
Proceedings of the Seventh International Conference on Intelligent Systems Design and Applications, 2007
Comparing Several Evaluation Functions in the Evolutionary Design of Multiclass Support Vector Machines.
Proceedings of the 7th International Conference on Hybrid Intelligent Systems, 2007
Proceedings of the Twentieth International Florida Artificial Intelligence Research Society Conference, 2007
Proceedings of the 15th European Symposium on Artificial Neural Networks, 2007
2006
J. Appl. Log., 2006
Use of gene dependent mutation probability in evolutionary neural networks for non-stationary problems.
Neurocomputing, 2006
Proceedings of the SBRN 2006, 2006
Hybrid Genetic Algorithm Applied to the Determination of the Optimal Operation of Hydrothermal Systems.
Proceedings of the SBRN 2006, 2006
Proceedings of the Parallel and Distributed Processing and Applications, 2006
Proceedings of the 6th International Conference on Hybrid Intelligent Systems (HIS 2006), 2006
2005
Multi-agent Systems and Machine Learning Facilitating Genome Annotation.
RITA, 2005
Int. J. Comput. Intell. Appl., 2005
Combining One-Class Classifiers for Robust Novelty Detection in Gene Expression Data.
Proceedings of the Advances in Bioinformatics and Computational Biology, 2005
Protein Cellular Localization with Multiclass Support Vector Machines and Decision Trees.
Proceedings of the Advances in Bioinformatics and Computational Biology, 2005
Evaluation of the Contents of Partitions Obtained with Clustering Gene Expression Data.
Proceedings of the Advances in Bioinformatics and Computational Biology, 2005
Minimum Spanning Trees in Hierarchical Multiclass Support Vector Machines Generation.
Proceedings of the Innovations in Applied Artificial Intelligence, 2005
Proceedings of the Innovations in Applied Artificial Intelligence, 2005
Proceedings of the Advances in Natural Computation, First International Conference, 2005
Proceedings of the 5th International Conference on Hybrid Intelligent Systems (HIS 2005), 2005
Proceedings of the Encyclopedia of Information Science and Technology (5 Volumes), 2005
2004
IEEE Trans. Neural Networks, 2004
Real Time Imaging, 2004
SVMs for novel class detection in Bioinformatics.
Proceedings of the III Brazilian Workshop on Bioinformatics, 2004
Gene Selection based on Multi-class SVMs and Genetic Algorithms.
Proceedings of the III Brazilian Workshop on Bioinformatics, 2004
Gene Clusters Analysis Using Text Mining.
Proceedings of the III Brazilian Workshop on Bioinformatics, 2004
Phylogenetic Reconstruction from Evolutionary Algorithm using Edge-Set Representation.
Proceedings of the III Brazilian Workshop on Bioinformatics, 2004
An Hybrid GA/SVM Approach for Multiclass Classification with Directed Acyclic Graphs.
Proceedings of the Advances in Artificial Intelligence - SBIA 2004, 17th Brazilian Symposium on Artificial Intelligence, São Luis, Maranhão, Brazil, September 29, 2004
Proceedings of the MICAI 2004: Advances in Artificial Intelligence, 2004
Applying Genetic and Symbolic Learning Algorithms to Extract Rules from Artificial Neural Networks.
Proceedings of the MICAI 2004: Advances in Artificial Intelligence, 2004
Proceedings of the MICAI 2004: Advances in Artificial Intelligence, 2004
Proceedings of the Biological and Medical Data Analysis, 5th International Symposium, 2004
Proceedings of the Innovations in Applied Artificial Intelligence, 2004
Proceedings of the Genetic and Evolutionary Computation, 2004
A genetic algorithm with gene dependent mutation probability for non-stationary optimization problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2004
2003
Int. J. Neural Syst., 2003
E. Coli Promoter Gene Sequence and Human Splice Site Identification with Explanation by Extracting Rules from Trained Artificial Neural Networks.
Proceedings of the II Brazilian Workshop on Bioinformatics, 2003
Proceedings of the KI 2003: Advances in Artificial Intelligence, 2003
Human Splice Site Identification with Multiclass Support Vector Machines and Bagging.
Proceedings of the Artificial Neural Networks and Neural Information Processing, 2003
Hybrid Approach for Case Adaptation.
Proceedings of the Design and Application of Hybrid Intelligent Systems, 2003
Proceedings of the Genetic and Evolutionary Computation, 2003
2002
Um Tutorial sobre Algoritmos Genéticos.
RITA, 2002
A genetic algorithm based approach to track voltage and current harmonics in electrical power systems.
J. Intell. Fuzzy Syst., 2002
J. Intell. Fuzzy Syst., 2002
Int. J. Comput. Intell. Appl., 2002
Aprendizado de Máquina Aplicado ao Estudo de Marcadores Moleculares para Produção de Carne Bovina.
Proceedings of the I Brazilian Workshop on Bioinformatics, 2002
Splice Junction Recognition using Machine Learning Techniques.
Proceedings of the I Brazilian Workshop on Bioinformatics, 2002
A Network of Globally Coupled Chaotic Maps for Adaptive Multi-Resolution Image Segmentation.
Proceedings of the 7th Brazilian Symposium on Neural Networks (SBRN 2002), 2002
Proceedings of the 7th Brazilian Symposium on Neural Networks (SBRN 2002), 2002
The Influence of Noisy Patterns in the Performance of Learning Methods in the Splice Junction Recognition Problem.
Proceedings of the 7th Brazilian Symposium on Neural Networks (SBRN 2002), 2002
Proceedings of the 7th Brazilian Symposium on Neural Networks (SBRN 2002), 2002
A Study of Crossvalidation and Bootstrap as Objective Functions for Genetic Algorithms.
Proceedings of the 7th Brazilian Symposium on Neural Networks (SBRN 2002), 2002
Extracting Knowledge from Artificial Neural Networks: An Empirical Comparison of Trepan and Symbolic Learning Algorithms.
Proceedings of the MICAI 2002: Advances in Artificial Intelligence, 2002
Artificial Neural Networks Designed as Components.
Proceedings of 2nd Ibero-American Symposium on Software Engineering and Knowledge Engineering (JIISIC'02), 2002
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Neural Process. Lett., 2001
Int. J. Neural Syst., 2001
Proceedings of the 13th IEEE International Conference on Tools with Artificial Intelligence, 2001
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Proceedings of the 6th Brazilian Symposium on Neural Networks (SBRN 2000), 2000
Proceedings of the MICAI 2000: Advances in Artificial Intelligence, 2000
1999
Int. J. Neural Syst., 1999
Proceedings of the International Joint Conference Neural Networks, 1999
Proceedings of the International Joint Conference Neural Networks, 1999
Proceedings of the 6th IEEE International Conference on Electronics, Circuits and Systems, 1999
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Pattern Recognit. Lett., 1998
Proceedings of the 5th Brazilian Symposium on Neural Networks (SBRN '98), 1998
Evaluation of Neural Classifiers using Statistic Methods for Identification of Laryngeal Pathologies.
Proceedings of the 5th Brazilian Symposium on Neural Networks (SBRN '98), 1998
Proceedings of the 5th Brazilian Symposium on Neural Networks (SBRN '98), 1998
Proceedings of the 5th Brazilian Symposium on Neural Networks (SBRN '98), 1998
A Genetic Algorithm Approach to Optimize the Operation Planning of Hydrothermal System Scheduling.
Proceedings of the 5th Brazilian Symposium on Neural Networks (SBRN '98), 1998
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Proceedings of the 4th Brazilian Symposium on Neural Networks, 1997
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Pattern Recognit. Lett., 1994