Using Prior Knowledge to Improve the Performance of an Estimation of Distribution Algorithm Applied to Feature Selection. - Leonardo R. Emmendorfer; Rodrigo Traleski; Aurora Trinidad Ramirez Pozo (HIS, 2005)

An empirical evaluation of linkage learning strategies for multimodal optimization. - Leonardo R. Emmendorfer; Aurora Trinidad Ramirez Pozo (IEEE Congress on Evolutionary Computation, 2007)

An Incremental Approach for Niching and Building Block Detection via Clustering. - Leonardo R. Emmendorfer; Aurora Trinidad Ramirez Pozo (ISDA, 2007)

Aprendizado da ligação entre genes em computação evolutiva : uma nova abordagem baseada em estatísticas de baixa ordem - Leonardo Ramos Emmendorfer (2007)

Selecting software reliability models with a neural network meta classifier. - Rafael Caiuta; Aurora T. R. Pozo; Leonardo R. Emmendorfer; Silvia Regina Vergilio (IJCNN, 2008)

A Clustering-Based Approach for Linkage Learning Applied to Multimodal Optimization. - Leonardo R. Emmendorfer; Aurora T. R. Pozo (Linkage in Evolutionary Computation, 2008)

Effective Linkage Learning Using Low-Order Statistics and Clustering. - Leonardo R. Emmendorfer; Aurora T. R. Pozo (IEEE Trans. Evol. Comput., 2009)

On the Design of Populational Clustering. - Leonardo R. Emmendorfer (IJCCI (ICEC), 2010)

Inference of Genetic Regulatory Networks Using an Estimation of Distribution Algorithm. - Thyago Salvá; Leonardo R. Emmendorfer; Adriano Velasque Werhli (BSB, 2013)

Including operator's skill and environment conditions in IMS. - Silvia S. C. Botelho; Nelson Duarte Filho; Danúbia Bueno Espíndola; Marcos Amaral; Leonardo R. Emmendorfer; Rafael Penna; Enzo Morosini Frazzon; Carlos Eduardo Pereira; Renato Ventura Henriques (INDIN, 2014)

A methodology for selecting the most suitable cluster validation internal indices. - Caroline Tomasini; Leonardo R. Emmendorfer; Eduardo Nunes Borges; Karina S. Machado (SAC, 2016)

A Study on the Relationship between Internal and External Validity Indices Applied to Partitioning and Density-based Clustering Algorithms. - Caroline Tomasini; Eduardo Nunes Borges; Karina S. Machado; Leonardo R. Emmendorfer (ICEIS (1), 2017)

Persuasive agent based simulation for evaluation of the dynamic threshold line and trigger classification from the Fogg Behavior Model. - Marcus Guimaraes; Leonardo Emmendorfer; Diana Francisca Adamatti (Simul. Model. Pract. Theory, 2018)

An Empirical Evaluation of Two Novel Linkage Criteria for Hierarchical Agglomerative Clustering. - Leonardo Emmendorfer (BRACIS, 2019)

On Improving the Efficiency of Majorization-Minorization for the Inference of Rank Aggregation Models. - Leonardo Ramos Emmendorfer (BRACIS, 2020)

An Empirical Evaluation of Global Fitness Surrogate Models in Evolutionary Computation. - Leonardo Ramos Emmendorfer (ICAISC (1), 2020)

A Novel Formulation for Inverse Distance Weighting from Weighted Linear Regression. - Leonardo Ramos Emmendorfer; Graçaliz Pereira Dimuro (ICCS (2), 2020)

An Empirical Evaluation of Sharpening Filters Applied to Magnified Images. - Leonardo Ramos Emmendorfer (IWSSIP, 2020)

A Conservative Sharpening Filter for Interpolated Images. - Leonardo R. Emmendorfer (SIBGRAPI, 2020)

A multi-agent-based algorithm for data clustering. - Lutiele M. Godois; Diana Francisca Adamatti; Leonardo R. Emmendorfer (Prog. Artif. Intell., 2020)

On the Generalizations of the Choquet Integral for Application in FRBCs. - Giancarlo Lucca; Eduardo N. Borges; Rafael A. Berri; Leonardo Emmendorfer; Graçaliz Pereira Dimuro; Tiago da Cruz Asmus (BRACIS (1), 2021)

Explainable Classification Methods for Fish Species Detection Using Hydroacoustic Data. - Lucas T. Bonifácio; Giancarlo Lucca; Graçaliz Pereira Dimuro; Eduardo N. Borges; Leonardo R. Emmendorfer; Stefan Cruz Weigert (FUZZ-IEEE, 2021)

Cognitive Consistency Models Applied to Data Clustering. - Thales Vaz Maciel; Leonardo Ramos Emmendorfer (ICAISC (2), 2021)

A Self-interpolation Method for Digital Terrain Model Generation. - Leonardo Ramos Emmendorfer; Isadora Bicho Emmendorfer; Luís Pedro Melo de Almeida; Deivid Cristian Leal Alves; Jorge Arigony-Neto (ICCSA (1), 2021)

A generalized average linkage criterion for Hierarchical Agglomerative Clustering. - Leonardo Ramos Emmendorfer; Anne Magály de Paula Canuto (Appl. Soft Comput., 2021)

A point interpolation algorithm resulting from weighted linear regression. - Leonardo Ramos Emmendorfer; Graçaliz Pereira Dimuro (J. Comput. Sci., 2021)

Applying d-XChoquet integrals in classification problems. - Jonata C. Wieczynski; Giancarlo Lucca; Eduardo N. Borges; Leonardo Emmendorfer; Mikel Ferrero-Jaurrieta; Graçaliz Pereira Dimuro; Humberto Bustince (FUZZ-IEEE, 2022)

On the Evaluation of Two Methods Applied to the Morphometry of Linear Dunes. - Tatiana Taís Schein; Leonardo R. Emmendorfer; Fabiano NobreMendes; Bárbara D. A. Rodriguez; Luís Pedro Melo de Almeida; Vinícius Menezes de Oliveira (ICIAP (3), 2022)

d-XC Integrals: On the Generalization of the Expanded Form of the Choquet Integral by Restricted Dissimilarity Functions and Their Applications. - Jonata C. Wieczynski; Javier Fumanal-Idocin; Giancarlo Lucca; Eduardo Nunes Borges; Tiago da Cruz Asmus; Leonardo Ramos Emmendorfer; Humberto Bustince; Graçaliz Pereira Dimuro (IEEE Trans. Fuzzy Syst., 2022)

Quantile Symbolic Aggregate approXimation: A guaranteed equiprobable SAX. - Eduardo Silveira; Joaquim V. C. Assunção; Leonardo Emmendorfer (SBBD, 2023)

A Comparison of Visual SLAM Algorithms ORB-SLAM3 and DynaSLAM on KITTI and TUM Monocular Datasets. - Kesse Jonatas de Jesus; Mateus Osvaldo Klan Pereira; Leonardo Ramos Emmendorfer; Daniel Fernando Tello Gamarra (SIBGRAPI, 2023)

Jogos educativos para Estruturas de Dados: Um Mapeamento Sistemático. - João Paulo Ferreira Julio; Maurilio Martins Campano Junior; Linnyer Beatrys Ruiz Aylon; Karine Oliveira Fonseca; Leonardo Ramos Emmendorfer (SBGames, 2024)

Chad the Second: protótipo de jogo para avaliação do impacto de câmera em segunda pessoa. - Lucas Arthur Campesatto Mella; Maurilio Martins Campano Junior; Linnyer Beatrys Ruiz Aylon; Karine Oliveira Fonseca; Leonardo Ramos Emmendorfer (SBGames, 2024)

A Case and Cluster-Based Framework for Reuse and Prioritization in Software Testing. - Luís Alvaro de Lima Silva; Lori R. F. Machado; Leonardo Emmendorfer (SBSI, 2024)