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Daniel Sabino Amorim de Araújo

Observed names: Araújo, Daniel, D.S.A. de Araujo, Daniel Araujo, Daniel Araújo, Daniel S A de Araujo, Daniel S. A. de Araujo, Daniel S. A. de Araújo, Daniel S.A. de Araújo, Daniel Sabino A. de Araújo, Daniel de Araújo
ORCID: 0000-0001-5572-0505
Observed ORCID: 0000-0001-5572-0505
OpenAlex ID: A5069724907
Ranking and selecting clustering algorithms using a meta-learning approach
2008 · Marcilio C. P. de Souto, Ricardo B. C. Prudencio, et al. · International Joint Conference on Neural Networks (IJCNN) · 100
Multi-objective clustering ensemble for gene expression data analysis
2009 · Katti Faceli, Marcilio C.P. de Souto, et al. · Neurocomputing · 47
Comparative study on normalization procedures for cluster analysis of gene expression datasets
2008 · Marcilio C. P. de Souto, Daniel S. A. de Araujo, et al. · International Joint Conference on Neural Networks (IJCNN) · 47
A Novel Machine Learning 13-Gene Signature: Improving Risk Analysis and Survival Prediction for Clear Cell Renal Cell Carcinoma Patients
2022 · Patrick Terrematte, Dhiego Andrade, et al. · Cancers · 30
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Using Big Data and Real-Time Analytics to Support Smart City Initiatives
2016 · Arthur Souza, Mickael Figueredo, et al. · IFAC-PapersOnLine · 27
Comparative study on dimension reduction techniques for cluster analysis of microarray data
2011 · Daniel Araujo, Adriao Doria Neto, et al. · International Joint Conference on Neural Networks (IJCNN) · 24
Social smart city: A platform to analyze social streams in smart city initiatives
2016 · Arthur Souza, Mickael Figueredo, et al. · IEEE International Smart Cities Conference (ISC2) · 15
Home Automation Architecture Based on IOT Technologies
2018 · Judson Costa, Daniel Araujo, et al. · IEEE International Workshop on Metrology for Industry 4.0 & IoT (MetroInd4.0&IoT) · 14
Real Time Analytics for Characterizing the Computer User's State
2016 · Davide Carneiro, Daniel Araújo, et al. · ADCAIJ ADVANCES IN DISTRIBUTED COMPUTING AND ARTIFICIAL INTELLIGENCE JOURNAL · 12
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Using micro-services and artificial intelligence to analyze images in criminal evidences
2021 · Iaslan Silva, João Marcos do Valle, et al. · Forensic Science International Digital Investigation · 11
Information-theoretic clustering: A representative and evolutionary approach
2013 · Daniel Araújo, Adriao Dória Neto, et al. · Expert Systems with Applications · 11
A criminal macrocause classification model: An enhancement for violent crime analysis considering an unbalanced dataset
2023 · Ramiro de Vasconcelos dos Santos, João Vitor Venceslau Coelho, et al. · Expert Systems with Applications · 10
Fusion Approaches of Feature Selection Algorithms for Classification Problems
2016 · Jhoseph Jesus, Daniel Araujo, et al. · Brazilian Conference on Intelligent Systems · 9
Big Data Platform for Analysing Crime Evidences
2020 · Joao Marcos do Valle, Gabriel Souza, et al. · IEEE International Conference on Big Data Computing Service and Applications (BigDataService) · 8
An exploratory analysis of data noisy scenarios in a Pareto-front based dynamic feature selection method
2020 · Jhoseph Jesus, Anne Canuto, et al. · Applied Soft Computing · 6
Clustering Using Elements of Information Theory
2010 · Daniel de Araújo, Adrião Dória Neto, et al. · Lecture notes in computer science · 6
Dynamic Feature Selection Based on Pareto Front Optimization
2018 · Jhoseph Jesus, Anne Canuto, et al. · International Joint Conference on Neural Networks (IJCNN) · 5
Representative cross information potential clustering
2013 · Daniel Araújo, Adrião Dória Neto, et al. · Pattern Recognition Letters · 5
Cluster Ensemble for Gene Expression Microarray Data: Accuracy and Diversity
2006 · M.C.P. d Souto, D.S.A. de Araujo, et al. · International Joint Conference on Neural Networks (IJCNN) · 5
A Feature Selection Approach Based on Information Theory for Classification Tasks
2017 · Jhoseph Jesus, Anne Canuto, et al. · Lecture notes in computer science · 4
Cluster ensemble for gene expression microarray data
2006 · M.C.P. de Souto, S.C.M. Silva, et al. · International Joint Conference on Neural Networks (IJCNN) · 4
Investigating the Impact of Diversity in Ensembles of Multi-label Classifiers
2018 · Diego S. C. Nascimento, Danilo R. C. Bandeira, et al. · International Joint Conference on Neural Networks (IJCNN) · 3
A Combination Method for Reducing Dimensionality in Large Datasets
2016 · Daniel Araújo, Jhoseph Jesus, et al. · Lecture notes in computer science · 3
Comparative Study on Information Theoretic Clustering and Classical Clustering Algorithms
2012 · Daniel Araújo, Adrião Dória Neto, et al. · Lecture notes in computer science · 3
Evaluating Machine Learning Classifiers for Prediction in an IoT-based Smart Building System
2021 · Felipe Rocha, Everton Cavalcante, et al. · IEEE World Forum on Internet of Things (WF-IoT) · 2
Works count: 44
Citation count: 420
H-index: 11
I10-index: 12
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