Clustering using genetic algorithm combining validation criteria. - Murilo Coelho Naldi; André Carlos Ponce de Leon Ferreira de Carvalho (ESANN, 2007)

Genetic Clustering for Data Mining. - Murilo Coelho Naldi; André Carlos Ponce de Leon Ferreira de Carvalho; Ricardo José Gabrielli Barreto Campello; Eduardo R. Hruschka (Soft Computing for Knowledge Discovery and Data Mining, 2008)

Comparison Among Methods for k Estimation in k-means. - Murilo Coelho Naldi; Andre Fontana; Ricardo J. G. B. Campello (ISDA, 2009)

Uma Revisão Sobre Combinação de Agrupamentos. - Murilo Coelho Naldi; Katti Faceli; André C. P. L. F. de Carvalho (RITA, 2009)

Evolutionary Fuzzy Clustering: An Overview and Efficiency Issues. - Danilo Horta; Murilo Coelho Naldi; Ricardo José Gabrielli Barreto Campello; Eduardo R. Hruschka; André Carlos Ponce de Leon Ferreira de Carvalho (Foundations of Computational Intelligence (4), 2009)

Efficiency issues of evolutionary k-means. - Murilo Coelho Naldi; Ricardo J. G. B. Campello; Eduardo R. Hruschka; André C. P. L. F. de Carvalho (Appl. Soft Comput., 2011)

Ensemble techniques for centralized and distributed clustering. - Murilo Coelho Naldi (2011)

Combining Information from Distributed Evolutionary k-Means. - Murilo Coelho Naldi; Ricardo José Gabrielli Barreto Campello (SBRN, 2012)

Distributed K-Means Clustering with Low Transmission Cost. - Murilo Coelho Naldi; Ricardo José Gabrielli Barreto Campello (BRACIS, 2013)

Cluster ensemble selection based on relative validity indexes. - Murilo Coelho Naldi; André C. P. L. F. de Carvalho; Ricardo J. G. B. Campello (Data Min. Knowl. Discov., 2013)

Multiple Parallel MapReduce k-Means Clustering with Validation and Selection. - Kemilly Dearo Garcia; Murilo Coelho Naldi (BRACIS, 2014)

Evolutionary k-means for distributed data sets. - Murilo Coelho Naldi; Ricardo José Gabrielli Barreto Campello (Neurocomputing, 2014)

Comparison of distributed evolutionary k-means clustering algorithms. - Murilo Coelho Naldi; Ricardo J. G. B. Campello (Neurocomputing, 2015)

Scalable Data Stream Clustering with k Estimation. - Paulo G. L. Candido; Murilo Coelho Naldi; Jonathan de Andrade Silva; Elaine R. Faria (BRACIS, 2017)

Online Detection of Outliers in Clusters of Continuous Data Streaming. - Mariana Alves Pereira; Elaine Ribeiro de Faria Paiva; Murilo Coelho Naldi (BRACIS, 2017)

Exploiting Convolutional Neural Networks and Preprocessing Techniques for HEp-2 Cell Classification in Immunofluorescence Images. - Larissa Ferreira Rodrigues; Murilo Coelho Naldi; João Fernando Mari (SIBGRAPI, 2017)

Improving k-means through distributed scalable metaheuristics. - Gilberto V. Oliveira; Felipe P. Coutinho; Ricardo J. G. B. Campello; Murilo Coelho Naldi (Neurocomputing, 2017)

Comparação entre abordagens escaláveis para o processamento de conjuntos de dados textuais. - Gustavo de Paula Avelar; Murilo Coelho Naldi (RITA, 2017)

Scalable Batch Stream Clustering with k Estimation. - Paulo G. L. Candido; Jonathan de Andrade Silva; Elaine R. Faria; Murilo Coelho Naldi (CEC, 2018)

Combining semantic and term frequency similarities for text clustering. - Victor Hugo Andrade Soares; Ricardo J. G. B. Campello; Seyednaser Nourashrafeddin; Evangelos E. Milios; Murilo Coelho Naldi (Knowl. Inf. Syst., 2019)

N-BEATS-RNN: deep learning for time series forecasting. - Attilio Sbrana; André Luis Debiaso Rossi; Murilo Coelho Naldi (ICMLA, 2020)

Comparing convolutional neural networks and preprocessing techniques for HEp-2 cell classification in immunofluorescence images. - Larissa Ferreira Rodrigues; Murilo Coelho Naldi; João Fernando Mari (Comput. Biol. Medicine, 2020)

Hierarchical Density-Based Clustering Using MapReduce. - Joelson Antônio dos Santos; Syed Talat Iqbal; Murilo Coelho Naldi; Ricardo J. G. B. Campello; Joerg Sander 001 (IEEE Trans. Big Data, 2021)

CORE-SG: Efficient Computation of Multiple MSTs for Density-Based Methods. - Antônio Cavalcante Araújo Neto; Murilo Coelho Naldi; Ricardo J. G. B. Campello; Jörg Sander 001 (ICDE, 2022)

Efficient Density-Based Models for Multiple Machine Learning Solutions over Large Datasets. - Natanael F. Dacioli Batista; Bruno Leonel Nunes; Murilo Coelho Naldi (BRACIS (1), 2023)

ESIREOS: Efficient, Scalable, Internal, Relative Evaluation of Outliers Solutions. - William A. Alves; Henrique O. Marques; Murilo Coelho Naldi; Jörg Sander 001 (ICPADS, 2023)

Unsupervised Parameter-free Outlier Detection using HDBSCAN* Outlier Profiles. - Kushankur Ghosh; Murilo Coelho Naldi; Jörg Sander 001; Euijin Choo (IEEE Big Data, 2024)