Renato Vimieiro

21 papers B 3C 2Journal 9Unranked 7
YearRankTypeTitle / Venue / Authors
2025 J jnl
EsmamDS: A more diverse exceptional survival model mining approach.
Inf. Sci.
Renato Vimieiro, Juliana Barcellos Mattos, Paulo S. G. de Mattos Neto
2024 J jnl
Graph Neural Alchemist: An innovative fully modular architecture for time series-to-graph classification.
CoRR
Paulo Coelho, Raul Araju, Luís Ramos, Samir Saliba, Renato Vimieiro
2022 B conf
A multi-view extractive text summarization approach for long scientific articles.
IJCNN
Cinthia Mikaela de Souza, Magali R. G. Meireles, Renato Vimieiro
2022 J jnl
Political polarization on Twitter during the COVID-19 pandemic: a case study in Brazil.
Soc. Netw. Anal. Min.
Pedro Paulo Valadares Brum, Matheus Cândido Teixeira, Renato Vimieiro, Eric Araújo, Wagner Meira Jr., Gisele Lobo Pappa
2021 — conf
A Long Texts Summarization Approach to Scientific Articles.
STIL
Cinthia Mikaela de Souza, Renato Vimieiro
2021 B conf
Approaching authorship attribution as a multi-view supervised learning task.
IJCNN
Luís Gonçalves, Renato Vimieiro
2021 J jnl
EsmamDS: A more diverse exceptional survival model mining approach.
CoRR
Juliana Barcellos Mattos, Paulo S. G. de Mattos Neto, Renato Vimieiro
2020 — conf
Exceptional Survival Model Mining.
BRACIS (2)
Juliana Barcellos Mattos, Eraylson G. Silva, Paulo S. G. de Mattos Neto, Renato Vimieiro
2019 — conf
A Multivariate Method for Group Profiling Using Subgroup Discovery.
BRACIS
Tarcísio Lucas, João Gomes, Renato Vimieiro, Ricardo B. C. Prudêncio, Teresa Bernarda Ludermir
2019 — conf
A Multiview Clustering Approach for Mining Authorial Affinities in Literary Texts.
BRACIS
Andréa B. Duque, Francisco de A. T. de Carvalho, Renato Vimieiro
2018 — conf
Effects of Population Initialization on Evolutionary Techniques for Subgroup Discovery in High Dimensional Datasets.
BRACIS
Vitor de Albuquerque Torreao, Renato Vimieiro
2018 B conf
SSDP+: A Diverse and More Informative Subgroup Discovery Approach for High Dimensional Data.
CEC
Tarcísio Lucas, Renato Vimieiro, Teresa Bernarda Ludermir
2017 J jnl
A new evolutionary algorithm for mining top-k discriminative patterns in high dimensional data.
Appl. Soft Comput.
Tarcísio Lucas, Túlio C. P. B. Silva, Renato Vimieiro, Teresa Bernarda Ludermir
2016 J jnl
Iteratively refining breast cancer intrinsic subtypes in the METABRIC dataset.
BioData Min.
Heloisa H. Milioli, Renato Vimieiro, Inna Tishchenko, Carlos Riveros, Regina Berretta, Pablo Moscato
2016 — conf
SSDP: A Simple Evolutionary Approach for Top-K Discriminative Patterns in High Dimensional Databases.
BRACIS
Tarcisio Pontes, Renato Vimieiro, Teresa Bernarda Ludermir
2014 J jnl
A new method for mining disjunctive emerging patterns in high-dimensional datasets using hypergraphs.
Inf. Syst.
Renato Vimieiro, Pablo Moscato
2014 J jnl
Disclosed: An efficient depth-first, top-down algorithm for mining disjunctive closed itemsets in high-dimensional data.
Inf. Sci.
Renato Vimieiro, Pablo Moscato
2012 J jnl
Mining disjunctive minimal generators with TitanicOR.
Expert Syst. Appl.
Renato Vimieiro, Pablo Moscato
2006 C conf
SOPHIANN: A Tool for Extraction Knowledge Rules from ANN Previously Trained A Case Study.
SEKE
Mark A. J. Song, Luis E. Zárate, Sérgio M. Dias, Ana Alvarez, Bruno Soares, Bruno M. Nogueira, Renato Vimieiro, Tadeu R. A. Santos, Newton Vieira
2004 C conf
Neural Representation of a Solar Collector with Statistical Optimization of the Training Set.
IEA/AIE
Luis E. Zárate, Elizabeth Marques Duarte Pereira, João Paulo D. Silva, Renato Vimieiro, Antônia Sônia Cardoso Diniz
2004 — conf
Optimization of Neural Network's Training Sets via Clustering: Application in Solar Collector Representation.
ICEIS (2)
Luis E. Zárate, Elizabeth Marques Duarte Pereira, Daniel A. Soares, João Paulo D. Silva, Renato Vimieiro, Antônia Sônia Cardoso Diniz