Ana Carolina Lorena

Mario Andrés Muñoz

Data Min. Knowl. Discov., 2024

2023

Complexity-Driven Sampling for Bagging.

[BibT_eX]

[DOI]

Carmen Lancho

Isaac Martín de Diego

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2023, 2023

Model Performance Prediction: A Meta-Learning Approach for Concept Drift Detection.

[BibT_eX]

[DOI]

Fernanda A. Melo

Proceedings of the Hybrid Artificial Intelligent Systems - 18th International Conference, 2023

A Framework for Characterizing What Makes an Instance Hard to Classify.

[BibT_eX]

[DOI]

Carlos Roberto Veiga Kiffer

Proceedings of the Intelligent Systems - 12th Brazilian Conference, 2023

Machine Teaching: An Explainable Machine Learning Model for Individualized Education.

[BibT_eX]

[DOI]

Eduardo Vargas Ferreira

Proceedings of the Intelligent Systems - 12th Brazilian Conference, 2023

2022

Relating instance hardness to classification performance in a dataset: a visual approach.

[BibT_eX]

[DOI]

Camila Castro Moreno

Mach. Learn., 2022

Characterizing instance hardness in classification and regression problems.

[BibT_eX]

[DOI]

Gustavo P. Torquette

Victor S. Nunes

Lourenço B. C. Neto

CoRR, 2022

Community-based anomaly detection using spectral graph filtering.

[BibT_eX]

[DOI]

Rodrigo Francisquini

Mariá C. V. Nascimento

Appl. Soft Comput., 2022

Let the data speak: analysing data from multiple health centers of the São Paulo metropolitan area for COVID-19 clinical deterioration prediction.

[BibT_eX]

[DOI]

Carlos Roberto Veiga Kiffer

Paulo Caleb J. L. Santos

Renato Grinbaum

Luiz Henrique dos Santos Fernandes

Proceedings of the 22nd IEEE International Symposium on Cluster, 2022

Generating Diverse Clustering Datasets with Targeted Characteristics.

[BibT_eX]

[DOI]

Rômulo Madureira Rodrigues

Proceedings of the Intelligent Systems - 11th Brazilian Conference, 2022

2021

An Instance Space Analysis of Regression Problems.

[BibT_eX]

[DOI]

ACM Trans. Knowl. Discov. Data, 2021

Assessing the data complexity of imbalanced datasets.

[BibT_eX]

[DOI]

Victor H. Barella

Inf. Sci., 2021

PyHard: a novel tool for generating hardness embeddings to support data-centric analysis.

[BibT_eX]

[DOI]

CoRR, 2021

Using Machine Learning to support health system planning during the Covid-19 pandemic: a case study using data from São José dos Campos (Brazil).

[BibT_eX]

[DOI]

Leila Abuabara

Carlos Roberto Veiga Kiffer

Horacio Hideki Yanasse

Luiz Henrique dos Santos Fernandes

CLEI Electron. J., 2021

Towards Understanding Clustering Problems and Algorithms: An Instance Space Analysis.

[BibT_eX]

[DOI]

Algorithms, 2021

A Multi-Learning Training Approach for Distinguishing Low and High Risk Cancer Patients.

[BibT_eX]

[DOI]

Lucas Venezian Povoa

Uriel Cairê Balan Calvi

Carlos Henrique Costa Ribeiro

Israel T. da Silva

IEEE Access, 2021

Automatic recovering the number <i>k</i> of clusters in the data by active query selection.

[BibT_eX]

[DOI]

Hério Sousa

Reginaldo Massanobu Kuroshu

Proceedings of the SAC '21: The 36th ACM/SIGAPP Symposium on Applied Computing, 2021

A Study of the Correlation of Metafeatures Used for Metalearning.

[BibT_eX]

[DOI]

Adriano Rivolli

Luiz Henrique dos Santos Fernandes

Proceedings of the Advances in Computational Intelligence, 2021

Evaluating Data Characterization Measures for Clustering Problems in Meta-learning.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing - 28th International Conference, 2021

2020

Boosting meta-learning with simulated data complexity measures.

[BibT_eX]

[DOI]

Intell. Data Anal., 2020

Monitoring Night Skies with Deep Learning.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing - 27th International Conference, 2020

Measuring Instance Hardness Using Data Complexity Measures.

[BibT_eX]

[DOI]

José L. M. Arruda

Ricardo B. C. Prudêncio

Proceedings of the Intelligent Systems - 9th Brazilian Conference, 2020

2019

New label noise injection methods for the evaluation of noise filters.

[BibT_eX]

[DOI]

Jens Lehmann

Knowl. Based Syst., 2019

How Complex Is Your Classification Problem?: A Survey on Measuring Classification Complexity.

[BibT_eX]

[DOI]

Jens Lehmann

Tin Kam Ho

ACM Comput. Surv., 2019

Data complexity measures in feature selection.

[BibT_eX]

[DOI]

Lucas Chesini Okimoto

Proceedings of the International Joint Conference on Neural Networks, 2019

Exploring Artificial Neural Networks: A Data Complexity Perspective.

[BibT_eX]

[DOI]

Lucas P. Zorzi

Proceedings of the 8th Brazilian Conference on Intelligent Systems, 2019

2018

Interdisciplinary Data Analysis.

[BibT_eX]

[DOI]

Anne Magály de Paula Canuto

New Gener. Comput., 2018

Data complexity meta-features for regression problems.

[BibT_eX]

[DOI]

Péricles B. C. de Miranda

Aron I. Maciel

Ricardo B. C. Prudêncio

Mach. Learn., 2018

Adaptive Biometric Systems using Ensembles.

[BibT_eX]

[DOI]

IEEE Intell. Syst., 2018

Using complexity measures to determine the structure of directed acyclic graphs in multiclass classification.

[BibT_eX]

[DOI]

Thaise M. Quiterio

Appl. Soft Comput., 2018

Using Complexity Measures to Evolve Synthetic Classification Datasets.

[BibT_eX]

[DOI]

Vinícius Veloso de Melo

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Data Complexity Measures for Imbalanced Classification Tasks.

[BibT_eX]

[DOI]

Victor H. Barella

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Classifier Recommendation Using Data Complexity Measures.

[BibT_eX]

[DOI]

Guilherme Ribeiroda Silva

Tin Kam Ho

Proceedings of the 24th International Conference on Pattern Recognition, 2018

Automatic Design of Evolutionary Algorithms Based on Entropy Triggers.

[BibT_eX]

[DOI]

Márcio P. Basgalupp

Reginaldo Massanobu Kuroshu

Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

Gene Essentiality Prediction Using Topological Features From Metabolic Networks.

[BibT_eX]

[DOI]

Proceedings of the 7th Brazilian Conference on Intelligent Systems, 2018

2017

The NoiseFiltersR Package: Label Noise Preprocessing in R.

[BibT_eX]

[DOI]

Pablo Morales-Álvarez

Julián Luengo

Francisco Herrera

R J., 2017

Adaptive algorithms applied to accelerometer biometrics in a data stream context.

[BibT_eX]

[DOI]

Intell. Data Anal., 2017

Score normalization applied to adaptive biometric systems.

[BibT_eX]

[DOI]

Norman Poh

Comput. Secur., 2017

Feature Selection via Pareto Multi-objective Genetic Algorithms.

[BibT_eX]

[DOI]

Appl. Artif. Intell., 2017

GEEK: Grammatical Evolution for Automatically Evolving Kernel Functions.

[BibT_eX]

[DOI]

Arua De M. Sousa

Márcio P. Basgalupp

Proceedings of the 2017 IEEE Trustcom/BigDataSE/ICESS, Sydney, Australia, August 1-4, 2017, 2017

Complexity Measures Effectiveness in Feature Selection.

[BibT_eX]

[DOI]

Lucas Chesini Okimoto

Ricardo Manhães Savii

Proceedings of the 2017 Brazilian Conference on Intelligent Systems, 2017

2016

Noise detection in the meta-learning level.

[BibT_eX]

[DOI]

Neurocomputing, 2016

Ensembles of label noise filters: a ranking approach.

[BibT_eX]

[DOI]

Stan Matwin

Data Min. Knowl. Discov., 2016

Enhanced template update: Application to keystroke dynamics.

[BibT_eX]

[DOI]

Romain Giot

Comput. Secur., 2016

Measuring the complexity of regression problems.

[BibT_eX]

[DOI]

Aron I. Maciel

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Determining the Structure of Decision Directed Acyclic Graphs for Multiclass Classification Problems.

[BibT_eX]

[DOI]

Thaise M. Quiterio

Proceedings of the 5th Brazilian Conference on Intelligent Systems, 2016

2015

Using the One-vs-One decomposition to improve the performance of class noise filters via an aggregation strategy in multi-class classification problems.

[BibT_eX]

[DOI]

Francisco Herrera

Knowl. Based Syst., 2015

Adaptive Positive Selection for Keystroke Dynamics.

[BibT_eX]

[DOI]

Luiz Henrique Nogueira Lorena

J. Intell. Robotic Syst., 2015

Filter Feature Selection for One-Class Classification.

[BibT_eX]

[DOI]

J. Intell. Robotic Syst., 2015

Effect of label noise in the complexity of classification problems.

[BibT_eX]

[DOI]

Neurocomputing, 2015

Emphasizing typing signature in keystroke dynamics using immune algorithms.

[BibT_eX]

[DOI]

Appl. Soft Comput., 2015

Adaptive approaches for keystroke dynamics.

[BibT_eX]

[DOI]

Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

On Measuring the Complexity of Classification Problems.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing - 22nd International Conference, 2015

Using Growing Neural Gas in Prototype Generation for Nearest Neighbor Classifiers.

[BibT_eX]

[DOI]

Jussara Dias

Marcos G. Quiles

Proceedings of the Neural Information Processing - 22nd International Conference, 2015

Ensemble of Adaptive Algorithms for Keystroke Dynamics.

[BibT_eX]

[DOI]

Proceedings of the 2015 Brazilian Conference on Intelligent Systems, 2015

Adapting Noise Filters for Ranking.

[BibT_eX]

[DOI]

Luís Paulo Faina Garcia

Proceedings of the 2015 Brazilian Conference on Intelligent Systems, 2015

2014

Advances in intelligent systems.

[BibT_eX]

[DOI]

Teresa Bernarda Ludermir

Cleber Zanchettin

Neurocomputing, 2014

Adaptive Algorithms in Accelerometer Biometrics.

[BibT_eX]

[DOI]

Luiz Henrique Nogueira Lorena

Proceedings of the 2014 Brazilian Conference on Intelligent Systems, 2014

Clustering Search Applied to Rank Aggregation.

[BibT_eX]

[DOI]

Luiz Antonio Nogueira Lorena

Proceedings of the 2014 Brazilian Conference on Intelligent Systems, 2014

2013

A systematic review on keystroke dynamics.

[BibT_eX]

[DOI]

J. Braz. Comput. Soc., 2013

Noisy Data Set Identification.

[BibT_eX]

[DOI]

Proceedings of the Hybrid Artificial Intelligent Systems - 8th International Conference, 2013

2012

Analysis of complexity indices for classification problems: Cancer gene expression data.

[BibT_eX]

[DOI]

Neurocomputing, 2012

Comparison of Feature Vectors in Keystroke Dynamics: A Novelty Detection Approach.

[BibT_eX]

[DOI]

Int. J. Nat. Comput. Res., 2012

Negative Selection with High-Dimensional Support for Keystroke Dynamics.

[BibT_eX]

[DOI]

Proceedings of the 2012 Brazilian Symposium on Neural Networks, 2012

A Study on Class Noise Detection and Elimination.

[BibT_eX]

[DOI]

Proceedings of the 2012 Brazilian Symposium on Neural Networks, 2012

Evolutionary neural networks applied to keystroke dynamics: Genetic and immune based.

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2012

2011

Comparing machine learning classifiers in potential distribution modelling.

[BibT_eX]

[DOI]

Marinez Ferreira de Siqueira

Luís F. O. Jacintho

Renato De Giovanni

Lúcia G. Lohmann

Missae Yamamoto

Expert Syst. Appl., 2011

Multi-objective Genetic Algorithm Evaluation in Feature Selection.

[BibT_eX]

[DOI]

Proceedings of the Evolutionary Multi-Criterion Optimization, 2011

EEG spectro-temporal modulation energy: A new feature for automated diagnosis of Alzheimer's disease.

[BibT_eX]

[DOI]

Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

2010

A Survey on Recommender Systems for News Data.

[BibT_eX]

[DOI]

Hugo L. Borges

Proceedings of the Smart Information and Knowledge Management: Advances, 2010

Building binary-tree-based multiclass classifiers using separability measures.

[BibT_eX]

[DOI]

Francisco de Assis Zampirolli

Neurocomputing, 2010

Segmentation and Classification of Histological Images - Application of Graph Analysis and Machine Learning Methods.

[BibT_eX]

[DOI]

Beatriz Stransky

Fábio Luis de Melo Paulon

Proceedings of the SIBGRAPI 2010, 2010

Use of Multiobjective Genetic Algorithms in Feature Selection.

[BibT_eX]

[DOI]

Proceedings of the 11th Brazilian Symposium on Neural Networks (SBRN 2010), 2010

On the Complexity of Gene Marker Selection.

[BibT_eX]

[DOI]

Proceedings of the 11th Brazilian Symposium on Neural Networks (SBRN 2010), 2010

Complexity measures of supervised classifications tasks: A case study for cancer gene expression data.

[BibT_eX]

[DOI]

Ivan Gesteira Costa

Proceedings of the International Joint Conference on Neural Networks, 2010

2009

Pre-processing for noise detection in gene expression classification data.

[BibT_eX]

[DOI]

Giampaolo L. Libralon

J. Braz. Comput. Soc., 2009

Evaluation Functions for the Evolutionary Design of Multiclass Support Vector Machines.

[BibT_eX]

[DOI]

Int. J. Comput. Intell. Appl., 2009

Using Supervised Complexity Measures in the Analysis of Cancer Gene Expression Data Sets.

[BibT_eX]

[DOI]

Liciana R. M. P. y Peres

Proceedings of the Advances in Bioinformatics and Computational Biology, 2009

Use of Classification Algorithms in Noise Detection and Elimination.

[BibT_eX]

[DOI]

André L. B. Miranda

Proceedings of the Hybrid Artificial Intelligence Systems, 4th International Conference, 2009

2008

evolutionary Design of Code-matrices for Multiclass Problems.

[BibT_eX]

[DOI]

Proceedings of the Soft Computing for Knowledge Discovery and Data Mining, 2008

Investigation of Strategies for the Generation of Multiclass Support Vector Machines.

[BibT_eX]

[DOI]

Proceedings of the New Challenges in Applied Intelligence Technologies, 2008

Estratégias para a Combinação de Classificadores Binários em Soluções Multiclasses.

[BibT_eX]

[DOI]

RITA, 2008

Evolutionary tuning of SVM parameter values in multiclass problems.

[BibT_eX]

[DOI]

Neurocomputing, 2008

A review on the combination of binary classifiers in multiclass problems.

[BibT_eX]

[DOI]

João Gama

Artif. Intell. Rev., 2008

Evaluation of Models for the Recognition of Hadwritten Digits in Medical Forms.

[BibT_eX]

[DOI]

Willian Zalewski

Adewole M. J. F. Caetano

Cláudio Saddy Rodrigues Coy

André Gustavo Maletzke

João José Fagundes

Feng Chung Wu

Proceedings of the Advances in Bioinformatics and Computational Biology, 2008

Top-Down Hierarchical Ensembles of Classifiers for Predicting G-Protein-Coupled-Receptor Functions.

[BibT_eX]

[DOI]

Eduardo P. Costa

Alex Alves Freitas

Proceedings of the Advances in Bioinformatics and Computational Biology, 2008

Tree Decomposition of Multiclass Problems.

[BibT_eX]

[DOI]

Proceedings of the 10th Brazilian Symposium on Neural Networks (SBRN 2008), 2008

Potential Distribution Modelling Using Machine Learning.

[BibT_eX]

[DOI]

Marinez Ferreira de Siqueira

Renato De Giovanni

Ronaldo C. Prati

Proceedings of the New Frontiers in Applied Artificial Intelligence, 2008

Ensembles of Pre-processing Techniques for Noise Detection in Gene Expression Data.

[BibT_eX]

[DOI]

Giampaolo L. Libralon

Proceedings of the Advances in Neuro-Information Processing, 15th International Conference, 2008

On the Complexity of Gene Expression Classification Data Sets.

[BibT_eX]

[DOI]

Proceedings of the 8th International Conference on Hybrid Intelligent Systems (HIS 2008), 2008

2007

Uma Introdução às Support Vector Machines.

[BibT_eX]

[DOI]

RITA, 2007

Evolutionary design of multiclass support vector machines.

[BibT_eX]

[DOI]

J. Intell. Fuzzy Syst., 2007

Protein cellular localization prediction with Support Vector Machines and Decision Trees.

[BibT_eX]

[DOI]

Comput. Biol. Medicine, 2007

Comparing Several Approaches for Hierarchical Classification of Proteins with Decision Trees.

[BibT_eX]

[DOI]

Eduardo P. Costa

Alex Alves Freitas

Nicholas Holden

Proceedings of the Advances in Bioinformatics and Computational Biology, 2007

Comparing Several Evaluation Functions in the Evolutionary Design of Multiclass Support Vector Machines.

[BibT_eX]

[DOI]

Proceedings of the 7th International Conference on Hybrid Intelligent Systems, 2007

2006

Investigation of strategies for the generation of multiclass support vector machines.

[BibT_eX]

[DOI]

PhD thesis, 2006

Multiclass SVM Design and Parameter Selection with Genetic Algorithms.

[BibT_eX]

[DOI]

Proceedings of the SBRN 2006, 2006

2005

Protein Cellular Localization with Multiclass Support Vector Machines and Decision Trees.

[BibT_eX]

[DOI]

Proceedings of the Advances in Bioinformatics and Computational Biology, 2005

Minimum Spanning Trees in Hierarchical Multiclass Support Vector Machines Generation.

[BibT_eX]

[DOI]

Proceedings of the Innovations in Applied Artificial Intelligence, 2005

Support Vector Machines Applied to White Blood Cell Recognition.

[BibT_eX]

[DOI]

Daniela Mayumi Ushizima

Proceedings of the 5th International Conference on Hybrid Intelligent Systems (HIS 2005), 2005

2004

An Hybrid GA/SVM Approach for Multiclass Classification with Directed Acyclic Graphs.

[BibT_eX]

[DOI]

Proceedings of the Advances in Artificial Intelligence - SBIA 2004, 17th Brazilian Symposium on Artificial Intelligence, São Luis, Maranhão, Brazil, September 29, 2004

Comparing Techniques for Multiclass Classification Using Binary SVM Predictors.

[BibT_eX]

[DOI]

Proceedings of the MICAI 2004: Advances in Artificial Intelligence, 2004

2003

Human Splice Site Identification with Multiclass Support Vector Machines and Bagging.

[BibT_eX]

[DOI]