Leonardo R. Emmendorfer

According to our database1, Leonardo R. Emmendorfer authored at least 29 papers between 2005 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2023
Quantile Symbolic Aggregate approXimation: A guaranteed equiprobable SAX.
Proceedings of the 38th Brazilian Symposium on Databases, 2023

2022
d-XC Integrals: On the Generalization of the Expanded Form of the Choquet Integral by Restricted Dissimilarity Functions and Their Applications.
IEEE Trans. Fuzzy Syst., 2022

On the Evaluation of Two Methods Applied to the Morphometry of Linear Dunes.
Proceedings of the Image Analysis and Processing - ICIAP 2022, 2022

Applying d-XChoquet integrals in classification problems.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2022

2021
A point interpolation algorithm resulting from weighted linear regression.
J. Comput. Sci., 2021

A generalized average linkage criterion for Hierarchical Agglomerative Clustering.
Appl. Soft Comput., 2021

A Self-interpolation Method for Digital Terrain Model Generation.
Proceedings of the Computational Science and Its Applications - ICCSA 2021, 2021

Cognitive Consistency Models Applied to Data Clustering.
Proceedings of the Artificial Intelligence and Soft Computing, 2021

Explainable Classification Methods for Fish Species Detection Using Hydroacoustic Data.
Proceedings of the 30th IEEE International Conference on Fuzzy Systems, 2021

On the Generalizations of the Choquet Integral for Application in FRBCs.
Proceedings of the Intelligent Systems - 10th Brazilian Conference, 2021

2020
A multi-agent-based algorithm for data clustering.
Prog. Artif. Intell., 2020

A Conservative Sharpening Filter for Interpolated Images.
Proceedings of the 33rd SIBGRAPI Conference on Graphics, Patterns and Images, 2020

An Empirical Evaluation of Sharpening Filters Applied to Magnified Images.
Proceedings of the 2020 International Conference on Systems, Signals and Image Processing, 2020

A Novel Formulation for Inverse Distance Weighting from Weighted Linear Regression.
Proceedings of the Computational Science - ICCS 2020, 2020

An Empirical Evaluation of Global Fitness Surrogate Models in Evolutionary Computation.
Proceedings of the Artificial Intelligence and Soft Computing, 2020

On Improving the Efficiency of Majorization-Minorization for the Inference of Rank Aggregation Models.
Proceedings of the Intelligent Systems - 9th Brazilian Conference, 2020

2019
An Empirical Evaluation of Two Novel Linkage Criteria for Hierarchical Agglomerative Clustering.
Proceedings of the 8th Brazilian Conference on Intelligent Systems, 2019

2018
Persuasive agent based simulation for evaluation of the dynamic threshold line and trigger classification from the Fogg Behavior Model.
Simul. Model. Pract. Theory, 2018

2017
A Study on the Relationship between Internal and External Validity Indices Applied to Partitioning and Density-based Clustering Algorithms.
Proceedings of the ICEIS 2017, 2017

2016
A methodology for selecting the most suitable cluster validation internal indices.
Proceedings of the 31st Annual ACM Symposium on Applied Computing, 2016

2014
Including operator's skill and environment conditions in IMS.
Proceedings of the 12th IEEE International Conference on Industrial Informatics, 2014

2013
Inference of Genetic Regulatory Networks Using an Estimation of Distribution Algorithm.
Proceedings of the Advances in Bioinformatics and Computational Biology, 2013

2010
On the Design of Populational Clustering.
Proceedings of the ICEC 2010 - Proceedings of the International Conference on Evolutionary Computation, [part of the International Joint Conference on Computational Intelligence IJCCI 2010], Valencia, Spain, October 24, 2010

2009
Effective Linkage Learning Using Low-Order Statistics and Clustering.
IEEE Trans. Evol. Comput., 2009

2008
A Clustering-Based Approach for Linkage Learning Applied to Multimodal Optimization.
Proceedings of the Linkage in Evolutionary Computation, 2008

Selecting software reliability models with a neural network meta classifier.
Proceedings of the International Joint Conference on Neural Networks, 2008

2007
An Incremental Approach for Niching and Building Block Detection via Clustering.
Proceedings of the Seventh International Conference on Intelligent Systems Design and Applications, 2007

An empirical evaluation of linkage learning strategies for multimodal optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007

2005
Using Prior Knowledge to Improve the Performance of an Estimation of Distribution Algorithm Applied to Feature Selection.
Proceedings of the 5th International Conference on Hybrid Intelligent Systems (HIS 2005), 2005


  Loading...