Júlio C. Nievola

Orcid: 0000-0002-2212-4499

According to our database1, Júlio C. Nievola authored at least 56 papers between 1999 and 2022.

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

Timeline

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Bibliography

2022
Hierarchical classification of data streams: a systematic literature review.
Artif. Intell. Rev., 2022

Improving Data Stream Classification using Incremental Yeo-Johnson Power Transformation.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2022

Automatic disease vector mosquitoes identification via hierarchical data stream classification.
Proceedings of the SAC '22: The 37th ACM/SIGAPP Symposium on Applied Computing, Virtual Event, April 25, 2022

Classifying Hierarchical Data Streams using Global Classifiers and Summarization Techniques.
Proceedings of the International Joint Conference on Neural Networks, 2022

2021
<i>BNPA</i>: An R package to learn path analysis input models from a data set semi-automatically using Bayesian networks.
Knowl. Based Syst., 2021

Adaptive Global k-Nearest Neighbors for Hierarchical Classification of Data Streams.
Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021

Classifying Potentially Unbounded Hierarchical Data Streams with Incremental Gaussian Naive Bayes.
Proceedings of the Intelligent Systems - 10th Brazilian Conference, 2021

2019
Identifying Influences of Game Upgrades on Profitable Players Behavior in MMORPGs.
Proceedings of the Entertainment Computing and Serious Games, 2019

2018
A generalized financial time series forecasting model based on automatic feature engineering using genetic algorithms and support vector machine.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Discriminating Postural Control Behaviors from Posturography with Statistical Tests and Machine Learning Models: Does Time Series Length Matter?
Proceedings of the Computational Science - ICCS 2018, 2018

An Adaptive Approach for Index Tuning with Learning Classifier Systems on Hybrid Storage Environments.
Proceedings of the Hybrid Artificial Intelligent Systems - 13th International Conference, 2018

Identifying Niche Stage in MMORPGs Using Ensemble Classifier.
Proceedings of the Thirty-First International Florida Artificial Intelligence Research Society Conference, 2018

Applying Commitment to Churn and Remaining Players Lifetime Prediction.
Proceedings of the 2018 IEEE Conference on Computational Intelligence and Games, 2018

2017
Combining Process Mining with Trace Clustering: Manufacturing Shop Floor Process - An Applied Case.
Proceedings of the 29th IEEE International Conference on Tools with Artificial Intelligence, 2017

Sampling and Digital Filtering Effects When Recognizing Postural Control with Statistical Tools and the Decision Tree Classifier.
Proceedings of the International Conference on Computational Science, 2017

A Key Risk Indicator for the Game Usage Lifecycle.
Proceedings of the Thirtieth International Florida Artificial Intelligence Research Society Conference, 2017

Comparative Study of Dimensionality Reduction Methods Using Reliable Features for Multiple Datasets Obtained by rs-fMRI in ADHD Prediction.
Proceedings of the Advances in Artificial Intelligence, 2017

2016
A constructive algorithm for neural networks inspired on decision trees and evolutionary algorithms.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Facial expression recognition using a pairwise feature selection and classification approach.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

2015
Dynamic Fuzzy-Neural based tool formonitoring and predicting patients conditions using selected vital signs.
J. Intell. Fuzzy Syst., 2015

A Centroid-based Approach for Hierarchical Classification.
Proceedings of the ICEIS 2015, 2015

Using a Genetic Algorithm Approach to Study the Impact of Imbalanced Corpora in Sentiment Analysis.
Proceedings of the Twenty-Eighth International Florida Artificial Intelligence Research Society Conference, 2015

Comparison between Decision Tree and Genetic Programming to distinguish healthy from stroke postural sway patterns.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

Hierarchical Multi-label Classification Problems: An LCS Approach.
Proceedings of the Distributed Computing and Artificial Intelligence, 2015

A hierarchical neural network for predicting protein functions.
Proceedings of the 15th IEEE International Conference on Bioinformatics and Bioengineering, 2015

2014
Evaluation of the Relevance of Linear and Nonlinear Posturographic Features in the Recognition of Healthy Subjects and Stroke Patients.
Proceedings of the 2014 IEEE International Conference on Data Mining Workshops, 2014

RCMDE-GMD: Predicting gene ontology terms using differential evolution.
Proceedings of the 11th International Conference on Fuzzy Systems and Knowledge Discovery, 2014

2013
An evaluation of global-model hierarchical classification algorithms for hierarchical classification problems with single path of labels.
Comput. Math. Appl., 2013

Dynamically modeling users with MODUS-SD and Kohonen's map.
Proceedings of the 2013 IEEE 17th International Conference on Computer Supported Cooperative Work in Design (CSCWD), 2013

2012
Predicting published news effect in the Brazilian stock market.
Expert Syst. Appl., 2012

Comparing the dimensionality reduction methods in gene expression databases.
Expert Syst. Appl., 2012

New models for long-term Internet traffic forecasting using artificial neural networks and flow based information.
Proceedings of the 2012 IEEE Network Operations and Management Symposium, 2012

Multi-Label Hierarchical Classification using a Competitive Neural Network for protein function prediction.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

Hierarchical classification using a Competitive Neural Network.
Proceedings of the Eighth International Conference on Natural Computation, 2012

Hierarchical Classification of Gene Ontology with Learning Classifier Systems.
Proceedings of the Advances in Artificial Intelligence - IBERAMIA 2012, 2012

Predicting GPCR and enzymes function with a global approach based on LCS.
Proceedings of the 12th IEEE International Conference on Bioinformatics & Bioengineering, 2012

2011
A Virtual Catalyst in the Knowledge Acquisition Process.
Proceedings of the 23rd International Conference on Software Engineering & Knowledge Engineering (SEKE'2011), 2011

Automatic Classification of Processes in a General-Purpose Operating System.
Proceedings of the Brazilian Symposium on Computing System Engineering, 2011

Multiobjective Optimization of Indexes Obtained by Clustering for Feature Selection Methods Evaluation in Genes Expression Microarrays.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2011, 2011

Noctua: A tool for Knowledge Acquisition and Collaborative Knowledge Construction with a virtual catalyst.
Proceedings of the 2011 15th International Conference on Computer Supported Cooperative Work in Design, 2011

2009
Gene Selection from Microarray Data.
Proceedings of the Intelligent Text Categorization and Clustering, 2009

Dimensionality Reduction in Gene Expression Database through the Random Projection Method.
Proceedings of the International Conference on Machine Learning and Applications, 2009

2008
Compression of Electrocardiogram Using Neural Networks and Wavelets.
Proceedings of the Computer and Information Science [outstanding papers from IEEE/ACIS ICIS/IWEA 2008], 2008

Comparative of data base evolution in rule association algorithms in incremental and conventional way.
Proceedings of the International Joint Conference on Neural Networks, 2008

Pattern recognition for brain-computer interface on disabled subjects using a wavelet transformation.
Proceedings of the 2008 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2008

2007
Feature Selection as a Preprocessing Step for Classification in Gene Expression Data.
Proceedings of the Seventh International Conference on Intelligent Systems Design and Applications, 2007

Statistical and Biological Validation Methods in Cluster Analysis of Gene Expression.
Proceedings of the Sixth International Conference on Machine Learning and Applications, 2007

Gene-finding as an Attribute Selection Task.
Proceedings of the 6th Annual IEEE/ACIS International Conference on Computer and Information Science (ICIS 2007), 2007

2006
Automatic Inconsistency Treatment in Case-Based Reasoning Systems.
Proceedings of the XXI Simpósio Brasileiro de Banco de Dados, 2006

2005
Attribute selection methods comparison for classification of diffuse large B-cell lymphoma.
Proceedings of the Fourth International Conference on Machine Learning and Applications, 2005

2003
Evaluating the Conventional and Class-Modular Architectures Feedforward Neural Network for Handwritten Word Recognition.
Proceedings of the 16th Brazilian Symposium on Computer Graphics and Image Processing (SIBGRAPI 2003), 2003

Genetic Programming for Attribute Construction in Data Mining.
Proceedings of the Genetic Programming, 6th European Conference, EuroGP 2003, 2003

2002
Constructing X-of-n Attributes With A Genetic Algorithm.
Proceedings of the GECCO 2002: Proceedings of the Genetic and Evolutionary Computation Conference, 2002

2001
Discovering Fuzzy Classification Rules with Genetic Programming and Co-evolution.
Proceedings of the Principles of Data Mining and Knowledge Discovery, 2001

1999
Expert System Object-Oriented Combining Systematic and Heuristic Reasoning.
Proceedings of the 1st International Conference on Enterprise Information Systems, 1999

Tutor Based on Simulation for Trauma Medical Training in Pre-Hospital Care.
Proceedings of the 17th IASTED International Conference on Applied Informatics, 1999


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