Nelson F. F. Ebecken

Orcid: 0000-0003-4928-0966

Affiliations:
  • Federal University of Rio de Janeiro, Brazil


According to our database1, Nelson F. F. Ebecken authored at least 84 papers between 1998 and 2023.

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

Timeline

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Bibliography

2023
TuPy-E: detecting hate speech in Brazilian Portuguese social media with a novel dataset and comprehensive analysis of models.
CoRR, 2023

2022
Machine-Learning Classification of SAR Remotely-Sensed Sea-Surface Petroleum Signatures - Part 1: Training and Testing Cross Validation.
Remote. Sens., 2022

2021
Oil Spills or Look-Alikes? Classification Rank of Surface Ocean Slick Signatures in Satellite Data.
Remote. Sens., 2021

A new WAF architecture with machine learning for resource-efficient use.
Comput. Secur., 2021

2020
Classification of Oil Slicks and Look-Alike Slicks: A Linear Discriminant Analysis of Microwave, Infrared, and Optical Satellite Measurements.
Remote. Sens., 2020

2017
Intelligent hybrid system for dark spot detection using SAR data.
Expert Syst. Appl., 2017

2016
Analysis Spreading Patterns Generated by Model.
Proceedings of the Computational Science and Its Applications - ICCSA 2016, 2016

2015
A Models Comparison to Estimate Commuting Trips Based on Mobile Phone Data.
Proceedings of the Software Engineering in Intelligent Systems, 2015

Studying Reciprocity and Communication Probability Ratio in Weighted Phone Call Ego Networks.
Proceedings of the Complex Networks VI, 2015

2014
The influences of canonical evolutionary algorithm operators and variable orderings in learning Bayesian classifiers from data.
Int. J. Hybrid Intell. Syst., 2014

Parallel WiSARD object tracker: a ram-based tracking system.
CoRR, 2014

Community Detection by an Efficient Ant Colony Approach.
Proceedings of the Foundations of Intelligent Systems - 21st International Symposium, 2014

Modularity Based Hierarchical Community Detection in Networks.
Proceedings of the Computational Science and Its Applications - ICCSA 2014 - 14th International Conference, Guimarães, Portugal, June 30, 2014

2013
Specialized File Transfer Service for Large Oil and Gas Datasets.
Proceedings of the 13th IEEE/ACM International Symposium on Cluster, 2013

2012
An immune-inspired instance selection mechanism for supervised classification.
Memetic Comput., 2012

Centrality and Network Analysis in a Natural Perturbed Ecosystem.
Proceedings of the Complex Networks, results of the 3rd Workshop on Complex Networks, 2012

2011
A Process for Innovation in a Collaborative Network.
J. Inf. Knowl. Manag., 2011

A Bayesian imputation method for a clustering genetic algorithm.
J. Comput. Methods Sci. Eng., 2011

Bayesian network classifiers: Beyond classification accuracy.
Intell. Data Anal., 2011

Combining in situ flow cytometry and artificial neural networks for aquatic systems monitoring.
Expert Syst. Appl., 2011

Concept map construction applying natural language processing on text extracted from e-commerce web pages.
Proceedings of the Third World Congress on Nature & Biologically Inspired Computing, 2011

Learning Bayesian Network structures using Multiple Offspring Sampling.
Proceedings of the 11th International Conference on Intelligent Systems Design and Applications, 2011

Genetic algorithms as a pre processing strategy for imbalanced datasets.
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

2010
Text Classification on a Grid Environment.
Proceedings of the High Performance Computing for Computational Science - VECPAR 2010, 2010

Artificial Neural Network for Predicting Extreme Sea Level Variation Associated with Severe Storms.
Proceedings of the 11th Brazilian Symposium on Neural Networks (SBRN 2010), 2010

Methodology for eddies recognition from satellite images.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2010

Evolutionary Algorithm Using Random Multi-point Crossover Operator for Learning Bayesian Network Structures.
Proceedings of the Ninth International Conference on Machine Learning and Applications, 2010

Coevolutionary multi-population genetic programming for data classification.
Proceedings of the Genetic and Evolutionary Computation Conference, 2010

A Distance-Based Mutation Operator for learning Bayesian Network structures using Evolutionary Algorithms.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

2009
Electronic Records with Cardiovascular Monitoring System.
Proceedings of the Computer Recognition Systems 3, 2009

On the influence of imputation in classification: practical issues.
J. Exp. Theor. Artif. Intell., 2009

Design of interpretable fuzzy rule-based classifiers using spectral analysis with structure and parameters optimization.
Fuzzy Sets Syst., 2009

Knowledge discovering for coastal waters classification.
Expert Syst. Appl., 2009

Visual RBF network design based on Star Coordinates.
Adv. Eng. Softw., 2009

Potential collaboration discovery using document clustering and community structure detection.
Proceedings of the Proceeding of the ACM First International Workshop on Complex Networks Meet Information & Knowledge Management, 2009

2008
Auxiliary tool for the identification of genetic coding sequences in eukaryotic organisms.
Proceedings of the Computational Intelligence in Medical Informatics, 2008

Parameter Identification of Recurrent Fuzzy Systems With Fuzzy Finite-State Automata Representation.
IEEE Trans. Fuzzy Syst., 2008

ClusterMiner: High Performance for Data, Text and Web Mining.
Braz. J. Inf. Syst., 2008

Evolutionary algorithms to simulate the phylogenesis of a binary artificial immune system.
Evol. Intell., 2008

Text Mining Grid Services for Multiple Environments.
Proceedings of the High Performance Computing for Computational Science, 2008

Using Stemming Algorithms on a Grid Environment.
Proceedings of the High Performance Computing for Computational Science, 2008

Term Weighting Approaches for Text Categorization Improving.
Proceedings of the Eighth International Conference on Intelligent Systems Design and Applications, 2008

Ontology Model for Multi-relational Data Mining Application.
Proceedings of the Eighth International Conference on Intelligent Systems Design and Applications, 2008

Coevolution of data samples and classifiers integrated with grammatically-based genetic programming for data classification.
Proceedings of the Genetic and Evolutionary Computation Conference, 2008

2007
Bayesian networks for imputation in classification problems.
J. Intell. Inf. Syst., 2007

Towards efficient variables ordering for Bayesian networks classifier.
Data Knowl. Eng., 2007

WNB: A Weighted Naïve Bayesian Classifier.
Proceedings of the Seventh International Conference on Intelligent Systems Design and Applications, 2007

Automatic recognition of coastal and oceanic environmental events with orbital radars.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2007

The SUPRAIC Algorithm: A Suppression Immune Based Mechanism to Find a Representative Training Set in Data Classification Tasks.
Proceedings of the Artificial Immune Systems, 6th International Conference, 2007

Suppression based immune mechanism to find arepresentative training set in data classification tasks.
Proceedings of the Genetic and Evolutionary Computation Conference, 2007

2006
Revenue recovering with insolvency prevention on a Brazilian telecom operator.
SIGKDD Explor., 2006

Uncertainty in Thermal Basin Modeling: An Interval Finite Element Approach.
Reliab. Comput., 2006

Bayesian Feature Selection for Clustering Problems.
J. Inf. Knowl. Manag., 2006

Extracting rules from multilayer perceptrons in classification problems: A clustering-based approach.
Neurocomputing, 2006

GOLS - Genetic orthogonal least squares algorithm for training RBF networks.
Neurocomputing, 2006

Parallel Fuzzy c-Means Cluster Analysis.
Proceedings of the High Performance Computing for Computational Science, 2006

A Computational Framework for Cardiac Modeling Based on Distributed Computing and Web Applications.
Proceedings of the High Performance Computing for Computational Science, 2006

2005
Applying Bayesian Networks for Meteorological Data Mining.
Proceedings of the Applications and Innovations in Intelligent Systems XIII, 2005

Evaluating the Correlation Between Objective Rule Interestingness Measures and Real Human Interest.
Proceedings of the Knowledge Discovery in Databases: PKDD 2005, 2005

Missing Values Imputation for a Clustering Genetic Algorithm.
Proceedings of the Advances in Natural Computation, First International Conference, 2005

Feature Selection for Clustering Problems: a Hybrid Algorithm that Iterates Between k-means and a Bayesian Filter.
Proceedings of the 5th International Conference on Hybrid Intelligent Systems (HIS 2005), 2005

2004
Parallel Implementation of a Fuzzy Rule Based Classifier.
Proceedings of the High Performance Computing for Computational Science, 2004

A new approach for the discovery of conserved regions in DNA sequences.
Proceedings of the IASTED International Conference on Neural Networks and Computational Intelligence, 2004

Coastal environmental management by fuzzy system modeling.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2004

Identification of recurrent fuzzy systems with genetic algorithms.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2004

Towards Efficient Imputation by Nearest-Neighbors: A Clustering-Based Approach.
Proceedings of the AI 2004: Advances in Artificial Intelligence, 2004

Feature Selection by Bayesian Networks.
Proceedings of the Advances in Artificial Intelligence, 2004

2003
A genetic algorithm for cluster analysis.
Intell. Data Anal., 2003

A Feature Selection Bayesian Approach for Extracting Classification Rules with a Clustering Genetic Algorithm.
Appl. Artif. Intell., 2003

A Nearest-Neighbor Method as a Data Preparation Tool for a Clustering Genetic Algorithm.
Proceedings of the XVIII Simpósio Brasileiro de Bancos de Dados, 2003

Mining Fuzzy Rules for a Traffic Information System.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2003

GridBR: The Challenge of Grid Computing.
Proceedings of the Grid and Cooperative Computing, Second International Workshop, 2003

Evaluating a Nearest-Neighbor Method to Substitute Continuous Missing Values.
Proceedings of the AI 2003: Advances in Artificial Intelligence, 2003

2002
Missing values prediction with K2.
Intell. Data Anal., 2002

Data Mining for Data Classification Based on the KNN-Fuzzy Method Supported by Genetic Algorithm.
Proceedings of the High Performance Computing for Computational Science, 2002

Parallel Implementation for Probabilistic Analysis of 3D Discrete Cracking in Concrete.
Proceedings of the High Performance Computing for Computational Science, 2002

Growing Compact RBF Networks Using a Genetic Algorithm.
Proceedings of the 7th Brazilian Symposium on Neural Networks (SBRN 2002), 2002

A Data Preparation Bayesian Approach for a Clustering Genetic Algorithm.
Proceedings of the Soft Computing Systems - Design, Management and Applications, 2002

2001
Implementação em Java de um Algoritmo de Árvore de Decisão Acoplado a um SGBD Relacional.
Proceedings of the XVI Simpósio Brasileiro de Banco de Dados, 2001

2000
A clustering algorithm for extracting rules from supervised neural network models in data mining tasks.
Int. J. Comput. Syst. Signals, 2000

Applying a Clustering Genetic Algorithm for Extracting Rules from a Supervised Neural Network.
Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000

1999
Mining a large database with a parallel database server.
Intell. Data Anal., 1999

Rule extraction from neural networks: modified RX algorithm.
Proceedings of the International Joint Conference Neural Networks, 1999

1998
Data-Mining: A Tightly-Coupled Implementation on a Parallel Database Server.
Proceedings of the Ninth International Workshop on Database and Expert Systems Applications, 1998


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