Individual Clustering and Homogeneous Cluster Ensemble Approaches Applied to Gene Expression Data. - Shirlly C. M. Silva; Daniel S. A. de Araujo; Raul Benites Paradeda; Valmar S. Severiano-Sobrinho; Marcílio Carlos Pereira de Souto (Australian Conference on Artificial Intelligence, 2005)

Cluster ensemble for gene expression microarray data. - Marcilio C. P. de Souto; Shirly C. M. Silva; Valnaide G. Bittencourt; Daniel S. A. de Araujo (IJCNN, 2005)

Cluster Ensemble for Gene Expression Microarray Data: Accuracy and Diversity. - Marcílio Carlos Pereira de Souto; Daniel S. A. de Araujo; Bruno L. C. da Silva (IJCNN, 2006)

Comparative study on normalization procedures for cluster analysis of gene expression datasets. - Marcílio Carlos Pereira de Souto; Daniel S. A. de Araujo; Ivan G. Costa; Rodrigo G. F. Soares; Teresa Bernarda Ludermir; Alexander Schliep (IJCNN, 2008)

Ranking and selecting clustering algorithms using a meta-learning approach. - Marcílio Carlos Pereira de Souto; Ricardo Bastos Cavalcante Prudêncio; Rodrigo G. F. Soares; Daniel S. A. de Araujo; Ivan G. Costa; Teresa Bernarda Ludermir; Alexander Schliep (IJCNN, 2008)

Clustering cancer gene expression data: a comparative study. - Marcílio Carlos Pereira de Souto; Ivan G. Costa; Daniel S. A. de Araujo; Teresa Bernarda Ludermir; Alexander Schliep (BMC Bioinform., 2008)

Multi-objective clustering ensemble for gene expression data analysis. - Katti Faceli; Marcílio Carlos Pereira de Souto; Daniel S. A. de Araujo; André Carlos Ponce de Leon Ferreira de Carvalho (Neurocomputing, 2009)

Clustering Using Elements of Information Theory. - Daniel de Araújo 001; Adrião Duarte Dória Neto; Jorge Dantas de Melo; Allan de Medeiros Martins (ICANN (3), 2010)

Comparative study on dimension reduction techniques for cluster analysis of microarray data. - Daniel de Araújo 001; Adrião Duarte Dória Neto; Allan de Medeiros Martins; Jorge Dantas de Melo (IJCNN, 2011)

Comparative Study on Information Theoretic Clustering and Classical Clustering Algorithms. - Daniel de Araújo 001; Adrião Duarte Dória Neto; Allan de Medeiros Martins (ICANN (2), 2012)

Information-theoretic clustering: A representative and evolutionary approach. - Daniel de Araújo 001; Adrião Duarte Dória Neto; Allan de Medeiros Martins (Expert Syst. Appl., 2013)

Representative cross information potential clustering. - Daniel de Araújo 001; Adrião Duarte Dória Neto; Allan de Medeiros Martins (Pattern Recognit. Lett., 2013)

Análise de Agrupamentos Com Base na Teoria da Informação: Uma Abordagem Representativa. - Daniel Sabino Amorim de Araújo (2013)

Fusion Approaches of Feature Selection Algorithms for Classification Problems. - Jhoseph Jesus; Daniel Araújo 001; Anne M. P. Canuto (BRACIS, 2016)

A Combination Method for Reducing Dimensionality in Large Datasets. - Daniel Araújo 001; Jhoseph Jesus; Adrião Duarte Dória Neto; Allan de M. Martins (ICANN (2), 2016)

Providing Wellness Services Using Real Time Analytics. - Daniel Araújo 001; André Pimenta; Davide Carneiro; Paulo Novais (ISAmI, 2016)

Social smart city: A platform to analyze social streams in smart city initiatives. - Arthur Souza 001; Mickael Figueredo; Nélio Cacho; Daniel Araújo 001; Jazon Coelho; Carlos A. Prolo (ISC2, 2016)

A Feature Selection Approach Based on Information Theory for Classification Tasks. - Jhoseph Jesus; Anne M. P. Canuto; Daniel Araújo 001 (ICANN (2), 2017)

Dynamic Feature Selection Based on Pareto Front Optimization. - Jhoseph Jesus; Anne M. P. Canuto; Daniel Araújo 001 (IJCNN, 2018)

Investigating the Impact of Diversity in Ensembles of Multi-label Classifiers. - Diego Silveira Costa Nascimento; Danilo R. C. Bandeira; Anne M. P. Canuto; Daniel Araújo 001 (IJCNN, 2018)

Investigating the Robustness and Stability to Noisy Data of a Dynamic Feature Selection Method. - Jhoseph Jesus; Anne M. P. Canuto; Daniel Araújo 001 (BRACIS, 2019)

flowDiv: a new pipeline for analyzing flow cytometric diversity. - Bruno M. S. Wanderley; Daniel S. A. de Araujo; María V. Quiroga; André M. Amado; Adrião D. D. Neto; Hugo Sarmento; Sebastián D. Metz; Fernando Unrein (BMC Bioinform., 2019)

Big Data Platform for Analysing Crime Evidences. - João Marcos do Valle; Gabriel Souza; Samuel Fidelis; Adelson Araujo; Nélio Cacho; Iaslan Silva; Jaine Budke; Henrique Sales; Max William Filgueira; Frederico Lopes; Daniel Araújo 001; Rivaldo Silva Junior (BigDataService, 2020)

Using Traces from IoT Devices to Solve Criminal Cases. - João Marcos do Valle; Gabriel Souza; Nélio Cacho; Iaslan Silva; Jaine Budke; Henrique Sales; Frederico Lopes; Daniel Araújo 001; Rivaldo Silva (WF-IoT, 2020)

An Efficient CNN-based Approach for Automatic Brazilian License Plate Recognition. - João Pedro Cabral; Vitor Gaboardi Dos Santos; Camila Souza; Alison Silva; Abraão Dantas; Nélio Cacho; Frederico Lopes; Daniel Araújo 001 (CSCI, 2021)

Evaluating Machine Learning Classifiers for Prediction in an IoT-based Smart Building System. - Felipe Rocha; Everton Cavalcante; Thaís Batista; Daniel Araújo 001 (WF-IoT, 2021)

An exploratory analysis of data noisy scenarios in a Pareto-front based dynamic feature selection method. - Jhoseph Jesus; Anne M. P. Canuto; Daniel Araújo 001 (Appl. Soft Comput., 2021)

Using micro-services and artificial intelligence to analyze images in criminal evidences. - Iaslan Silva; João Marcos do Valle; Gabriel Souza; Jaine Budke; Daniel Araújo 001; Bruno Carvalho; Nélio Cacho; Henrique Sales; Frederico Lopes; Rivaldo Silva Junior (Digit. Investig., 2021)

Supermarket customer segmentation: a case study in a large Brazilian retail chain. - Wellerson V. Oliveira; Daniel S. A. de Araujo; Leonardo C. T. Bezerra (CBI (1), 2022)

Analyzing Criminal Macrocauses on Intentional Lethal Violent Crimes: An Unsupervised Learning Approach for Smart City Initiatives. - Ramiro de Vasconcelos dos Santos Júnior; João Vitor Venceslau Coelho; Nelio Alessandro Azevedo Cacho; Daniel Sabino Amorim de Araújo (ISC2, 2023)

Towards Total Dynamicity of a Feature Selection Method based on the Pareto Front. - Anne M. P. Canuto; Jhoseph Kelvin Lopes de Jesus; Daniel S. A. de Araujo (IJCNN, 2024)

A criminal macrocause classification model: An enhancement for violent crime analysis considering an unbalanced dataset. - Ramiro de Vasconcelos dos Santos Júnior; João Vitor Venceslau Coelho; Nelio Alessandro Azevedo Cacho; Daniel Sabino Amorim de Araújo (Expert Syst. Appl., 2024)