Daniel Araújo

According to our database, Daniel Araújo authored at least 32 papers between 2005 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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., March, 2024

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

Proceedings of the International Joint Conference on Neural Networks, 2024

2023

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

Proceedings of the IEEE International Smart Cities Conference, 2023

2022

Supermarket customer segmentation: a case study in a large Brazilian retail chain.

Wellerson V. Oliveira, Daniel S. A. de Araujo, Leonardo C. T. Bezerra

Proceedings of the 24th IEEE Conference on Business Informatics, 2022

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, Bruno Carvalho, Nélio Cacho, Henrique Sales, Frederico Lopes, Rivaldo Silva Junior

Digit. Investig., 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

Appl. Soft Comput., 2021

Evaluating Machine Learning Classifiers for Prediction in an IoT-based Smart Building System.

Felipe Rocha, Everton Cavalcante, Thaís Batista, Daniel Araújo

Proceedings of the 7th IEEE World Forum on Internet of Things, 2021

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

Proceedings of the International Conference on Computational Science and Computational Intelligence, 2021

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, Rivaldo Silva

Proceedings of the 6th IEEE World Forum on Internet of Things, 2020

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, Rivaldo Silva Junior

Proceedings of the 6th IEEE International Conference on Big Data Computing Service and Applications, 2020

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

Investigating the Robustness and Stability to Noisy Data of a Dynamic Feature Selection Method.

Jhoseph Jesus, Anne M. P. Canuto, Daniel Araújo

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

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

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

Dynamic Feature Selection Based on Pareto Front Optimization.

Jhoseph Jesus, Anne M. P. Canuto, Daniel Araújo

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

2017

A Feature Selection Approach Based on Information Theory for Classification Tasks.

Jhoseph Jesus, Anne M. P. Canuto, Daniel Araújo

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2017, 2017

2016

Social smart city: A platform to analyze social streams in smart city initiatives.

Arthur Souza, Mickael Figueredo, Nélio Cacho, Daniel Araújo, Jazon Coelho, Carlos A. Prolo

Proceedings of the IEEE International Smart Cities Conference, 2016

Providing Wellness Services Using Real Time Analytics.

Daniel Araújo, André Pimenta, Davide Carneiro, Paulo Novais

Proceedings of the Ambient Intelligence - Software and Applications, 2016

A Combination Method for Reducing Dimensionality in Large Datasets.

Daniel Araújo, Jhoseph Jesus, Adrião Duarte Dória Neto, Allan de M. Martins

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2016, 2016

Fusion Approaches of Feature Selection Algorithms for Classification Problems.

Jhoseph Jesus, Daniel Araújo, Anne M. P. Canuto

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

2013

Análise de Agrupamentos Com Base na Teoria da Informação: Uma Abordagem Representativa.

Daniel Sabino Amorim de Araújo

PhD thesis, 2013

Representative cross information potential clustering.

Daniel de Araújo, Adrião Duarte Dória Neto, Allan de Medeiros Martins

Pattern Recognit. Lett., 2013

Information-theoretic clustering: A representative and evolutionary approach.

Daniel de Araújo, Adrião Duarte Dória Neto, Allan de Medeiros Martins

Expert Syst. Appl., 2013

2012

Comparative Study on Information Theoretic Clustering and Classical Clustering Algorithms.

Daniel de Araújo, Adrião Duarte Dória Neto, Allan de Medeiros Martins

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2012, 2012

2011

Comparative study on dimension reduction techniques for cluster analysis of microarray data.

Daniel de Araújo, Adrião Duarte Dória Neto, Allan de Medeiros Martins, Jorge Dantas de Melo

Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

2010

Clustering Using Elements of Information Theory.

Daniel de Araújo, Adrião Duarte Dória Neto, Jorge Dantas de Melo, Allan de Medeiros Martins

Proceedings of the Artificial Neural Networks - ICANN 2010, 2010

2009

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

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

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

Proceedings of the International Joint Conference on Neural Networks, 2008

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

Proceedings of the International Joint Conference on Neural Networks, 2008

2006

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

Proceedings of the International Joint Conference on Neural Networks, 2006

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

Proceedings of the IEEE International Joint Conference on Neural Networks, 2005

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

Proceedings of the AI 2005: Advances in Artificial Intelligence, 2005