Júlio C. Nievola

Publication Activity (10 Years)

Years Active: 1999-2018
Publications (10 Years): 4

Top Topics

Hierarchical Classification

Dimensionality Reduction Methods

Top Venues

FLAIRS Conference

Expert Syst. Appl.

Publications

Luiz H. F. Giovanini, Elisangela F. Manffra, Júlio C. Nievola
Discriminating Postural Control Behaviors from Posturography with Statistical Tests and Machine Learning Models: Does Time Series Length Matter? ICCS (3) (2018)
Luiz Henrique Giovanini Giovanini, Simone M. Silva, Elisangela F. Manffra, Júlio C. Nievola
Sampling and Digital Filtering Effects When Recognizing Postural Control with Statistical Tools and the Decision Tree Classifier. ICCS (2017)
Luiz Kummer, Júlio C. Nievola, Emerson Cabrera Paraiso
A Key Risk Indicator for the Game Usage Lifecycle. FLAIRS Conference (2017)
Marcelo J. Cossetin, Júlio C. Nievola, Alessandro L. Koerich
Facial expression recognition using a pairwise feature selection and classification approach. IJCNN (2016)
Cecilia H. Vallejos de Schatz, Fabio Kurt Schneider, Paulo José Abatti, Júlio C. Nievola
Dynamic Fuzzy-Neural based tool formonitoring and predicting patients conditions using selected vital signs. J. Intell. Fuzzy Syst. 28 (6) (2015)
Lohann Ferreira, Mariza Dosciatti, Júlio C. Nievola, Emerson Cabrera Paraiso
Using a Genetic Algorithm Approach to Study the Impact of Imbalanced Corpora in Sentiment Analysis. FLAIRS Conference (2015)
Luiz Henrique Giovanini Marrega, Simone M. Silva, Elisangela F. Manffra, Júlio C. Nievola
Comparison between Decision Tree and Genetic Programming to distinguish healthy from stroke postural sway patterns. EMBC (2015)
Helyane Bronoski Borges, Júlio C. Nievola
Comparing the dimensionality reduction methods in gene expression databases. Expert Syst. Appl. 39 (12) (2012)
P. S. M. Nizer, Júlio C. Nievola
Predicting published news effect in the Brazilian stock market. Expert Syst. Appl. 39 (12) (2012)
Luiz Melo Romão, Júlio C. Nievola
Hierarchical Classification of Gene Ontology with Learning Classifier Systems. IBERAMIA (2012)
Marcio L. F. Miguel, Manoel Camillo Penna, Júlio C. Nievola, Marcelo Eduardo Pellenz
New models for long-term Internet traffic forecasting using artificial neural networks and flow based information. NOMS (2012)
Luiz Melo Romão, Júlio C. Nievola
Predicting GPCR and enzymes function with a global approach based on LCS. BIBE (2012)
Helyane Bronoski Borges, Júlio C. Nievola
Hierarchical classification using a Competitive Neural Network. ICNC (2012)
Helyane Bronoski Borges, Júlio C. Nievola
Multi-Label Hierarchical Classification using a Competitive Neural Network for protein function prediction. IJCNN (2012)
Rodolfo Garcia, Emerson Cabrera Paraiso, Júlio C. Nievola
Multiobjective Optimization of Indexes Obtained by Clustering for Feature Selection Methods Evaluation in Genes Expression Microarrays. IDEAL (2011)
Geraldo Boz Jr., Milton Pires Ramos, Gilson Yukio Sato, Cesar Augusto Tacla, Júlio C. Nievola, Emerson Cabrera Paraiso
A Virtual Catalyst in the Knowledge Acquisition Process. SEKE (2011)
G. Boz, Milton Pires Ramos, Gilson Yukio Sato, Júlio C. Nievola, Emerson Cabrera Paraiso
Noctua: A tool for Knowledge Acquisition and Collaborative Knowledge Construction with a virtual catalyst. CSCWD (2011)
Helyane Bronoski Borges, Júlio C. Nievola
Dimensionality Reduction in Gene Expression Database through the Random Projection Method. ICMLA (2009)
Thiago Bassani, Júlio C. Nievola
Pattern recognition for brain-computer interface on disabled subjects using a wavelet transformation. CIBCB (2008)
Euclides Peres Farias, Júlio C. Nievola
Comparative of data base evolution in rule association algorithms in incremental and conventional way. IJCNN (2008)
Helyane Bronoski Borges, Júlio C. Nievola
Feature Selection as a Preprocessing Step for Classification in Gene Expression Data. ISDA (2007)
Daniele Yumi Sunaga, Júlio C. Nievola, Milton Pires Ramos
Statistical and Biological Validation Methods in Cluster Analysis of Gene Expression. ICMLA (2007)
Helyane Bronoski Borges, Júlio C. Nievola
Gene-finding as an Attribute Selection Task. ACIS-ICIS (2007)
Vera Lucia M. Falquete, Júlio C. Nievola, Celso A. A. Kaestner
Automatic Inconsistency Treatment in Case-Based Reasoning Systems. SBBD (2006)
Júlio C. Nievola, Helyane Bronoski Borges
Attribute selection methods comparison for classification of diffuse large B-cell lymphoma. ICMLA (2005)
Fernando E. B. Otero, Monique M. S. Silva, Alex Alves Freitas, Júlio C. Nievola
Genetic Programming for Attribute Construction in Data Mining. EuroGP (2003)
Marcelo N. Kapp, Cinthia Obladen de Almendra Freitas, Júlio C. Nievola, Robert Sabourin
Evaluating the Conventional and Class-Modular Architectures Feedforward Neural Network for Handwritten Word Recognition. SIBGRAPI (2003)
Otavio Larsen, Alex Alves Freitas, Júlio C. Nievola
Constructing X-of-N Attributes with a Genetic Algorithm. GECCO Late Breaking Papers (2002)
Otavio Larsen, Alex Alves Freitas, Júlio C. Nievola
Constructing X-of-n Attributes With A Genetic Algorithm. GECCO (2002)
Roberto R. F. Mendes, Fabricio de B. Voznika, Alex Alves Freitas, Júlio C. Nievola
Discovering Fuzzy Classification Rules with Genetic Programming and Co-evolution. PKDD (2001)
Monika Koncke Fiuza Parolin, Júlio C. Nievola
Tutor Based on Simulation for Trauma Medical Training in Pre-Hospital Care. Applied Informatics (1999)
Lucimar F. de Carvalho, Hugo J. T. de Carvalho, Júlio C. Nievola, Celso A. A. Kaestner, Christiane Koehler, Charles T. Batezini, Raquele Z. Grazziotin, Vinícius S. Borguetti
Expert System Object-Oriented Combining Systematic and Heuristic Reasoning. ICEIS (1999)