Optimization of Neural Network's Training Sets via Clustering: Application in Solar Collector Representation. - Luis E. Zárate; Elizabeth Marques Duarte Pereira; Daniel A. Soares; João Paulo D. Silva; Renato Vimieiro; Antônia Sônia Cardoso Diniz (ICEIS (2), 2004)

Neural Representation of a Solar Collector with Statistical Optimization of the Training Set. - Luis E. Zárate; Elizabeth Marques Duarte Pereira; João Paulo D. Silva; Renato Vimieiro; Antônia Sônia Cardoso Diniz (IEA/AIE, 2004)

SOPHIANN: A Tool for Extraction Knowledge Rules from ANN Previously Trained A Case Study. - Mark A. J. Song; Luis E. Zárate; Sérgio M. Dias; Ana Alvarez; Bruno Soares; Bruno M. Nogueira 001; Renato Vimieiro; Tadeu R. A. Santos; Newton Vieira (SEKE, 2006)

Mining disjunctive minimal generators with TitanicOR. - Renato Vimieiro; Pablo Moscato (Expert Syst. Appl., 2012)

A new method for mining disjunctive emerging patterns in high-dimensional datasets using hypergraphs. - Renato Vimieiro; Pablo Moscato (Inf. Syst., 2014)

Disclosed: An efficient depth-first, top-down algorithm for mining disjunctive closed itemsets in high-dimensional data. - Renato Vimieiro; Pablo Moscato (Inf. Sci., 2014)

SSDP: A Simple Evolutionary Approach for Top-K Discriminative Patterns in High Dimensional Databases. - Tarcisio Pontes; Renato Vimieiro; Teresa Bernarda Ludermir (BRACIS, 2016)

Iteratively refining breast cancer intrinsic subtypes in the METABRIC dataset. - Heloisa H. Milioli; Renato Vimieiro; Inna Tishchenko; Carlos Riveros; Regina Berretta; Pablo Moscato (BioData Min., 2016)

A new evolutionary algorithm for mining top-k discriminative patterns in high dimensional data. - Tarcísio Lucas; Túlio C. P. B. Silva; Renato Vimieiro; Teresa Bernarda Ludermir (Appl. Soft Comput., 2017)

Effects of Population Initialization on Evolutionary Techniques for Subgroup Discovery in High Dimensional Datasets. - Vitor de Albuquerque Torreao; Renato Vimieiro (BRACIS, 2018)

SSDP+: A Diverse and More Informative Subgroup Discovery Approach for High Dimensional Data. - Tarcísio Lucas; Renato Vimieiro; Teresa Bernarda Ludermir (CEC, 2018)

A Multiview Clustering Approach for Mining Authorial Affinities in Literary Texts. - Andréa B. Duque; Francisco de A. T. de Carvalho; Renato Vimieiro (BRACIS, 2019)

A Multivariate Method for Group Profiling Using Subgroup Discovery. - Tarcísio Lucas; João Gomes; Renato Vimieiro; Ricardo B. C. Prudêncio; Teresa Bernarda Ludermir (BRACIS, 2019)

Exceptional Survival Model Mining. - Juliana Barcellos Mattos; Eraylson G. Silva; Paulo S. G. de Mattos Neto; Renato Vimieiro (BRACIS (2), 2020)

Approaching authorship attribution as a multi-view supervised learning task. - Luís Gonçalves; Renato Vimieiro (IJCNN, 2021)

A multi-view extractive text summarization approach for long scientific articles. - Cinthia Mikaela de Souza; Magali R. G. Meireles; Renato Vimieiro (IJCNN, 2022)

Political polarization on Twitter during the COVID-19 pandemic: a case study in Brazil. - Pedro Paulo Valadares Brum; Matheus Cândido Teixeira; Renato Vimieiro; Eric Araújo 001; Wagner Meira Jr.; Gisele Lobo Pappa (Soc. Netw. Anal. Min., 2022)

Graph Neural Alchemist: An innovative fully modular architecture for time series-to-graph classification. - Paulo Coelho; Raul Araju; Luís Ramos; Samir Saliba; Renato Vimieiro (CoRR, 2024)

EsmamDS: A more diverse exceptional survival model mining approach. - Renato Vimieiro; Juliana Barcellos Mattos; Paulo S. G. de Mattos Neto (Inf. Sci., 2025)