Júlio César Nievola

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 21

Top Topics

Hierarchical Classification

Financial Time Series Forecasting

Literature Review

Top Venues

Publications

Eduardo Tieppo, Júlio César Nievola, Jean Paul Barddal
Adaptive learning on hierarchical data streams using window-weighted Gaussian probabilities. Appl. Soft Comput. 152 (2024)
Luiz Rafael Schmitke, Emerson Cabrera Paraiso, Júlio César Nievola
Biclustering-based multi-label classification. Knowl. Inf. Syst. 66 (8) (2024)
Eduardo Tieppo, Jean Paul Barddal, Júlio César Nievola
Improving Data Stream Classification using Incremental Yeo-Johnson Power Transformation. SMC (2022)
Eduardo Tieppo, Roger Robson dos Santos, Jean Paul Barddal, Júlio César Nievola
Hierarchical classification of data streams: a systematic literature review. Artif. Intell. Rev. 55 (4) (2022)
Eduardo Tieppo, Jean Paul Barddal, Júlio César Nievola
Automatic disease vector mosquitoes identification via hierarchical data stream classification. SAC (2022)
Eduardo Tieppo, Jean Paul Barddal, Júlio César Nievola
Classifying Hierarchical Data Streams using Global Classifiers and Summarization Techniques. IJCNN (2022)
Eduardo Tieppo, Jean Paul Barddal, Júlio César Nievola
Adaptive Global k-Nearest Neighbors for Hierarchical Classification of Data Streams. SMC (2021)
Eduardo Tieppo, Jean Paul Barddal, Júlio César Nievola
Classifying Potentially Unbounded Hierarchical Data Streams with Incremental Gaussian Naive Bayes. BRACIS (1) (2021)
Elias Cesar Araujo De Carvalho, Joao Ricardo Nickenig Vissoci, Luciano de Andrade, Wagner de Lara Machado, Emerson Cabrera Paraiso, Júlio César Nievola
: An R package to learn path analysis input models from a data set semi-automatically using Bayesian networks. Knowl. Based Syst. 223 (2021)
Luiz Bernardo Martins Kummer, Hiroyuki Iida, Júlio César Nievola, Emerson Cabrera Paraiso
Identifying Influences of Game Upgrades on Profitable Players Behavior in MMORPGs. ICEC-JCSG (2019)
Luiz Bernardo Martins Kummer, Júlio César Nievola, Emerson Cabrera Paraiso
Applying Commitment to Churn and Remaining Players Lifetime Prediction. CIG (2018)
Luiz Bernardo Martins Kummer, Júlio César Nievola, Emerson Cabrera Paraiso
Identifying Niche Stage in MMORPGs Using Ensemble Classifier. FLAIRS Conference (2018)
Norberto Ritzmann Junior, Júlio César Nievola
A generalized financial time series forecasting model based on automatic feature engineering using genetic algorithms and support vector machine. IJCNN (2018)
Wendel Góes Pedrozo, Júlio César Nievola, Deborah Carvalho Ribeiro
An Adaptive Approach for Index Tuning with Learning Classifier Systems on Hybrid Storage Environments. HAIS (2018)
Norberto Ritzmann Junior, Júlio César Nievola
A generalized financial time series forecasting model based on automatic feature engineering using genetic algorithms and support vector machine. CoRR (2018)
Rodolfo Garcia, Emerson Cabrera Paraiso, Júlio César Nievola
Comparative Study of Dimensionality Reduction Methods Using Reliable Features for Multiple Datasets Obtained by rs-fMRI in ADHD Prediction. Canadian Conference on AI (2017)
Alex Meincheim, Cleiton dos Santos Garcia, Júlio César Nievola, Edson Emílio Scalabrin
Combining Process Mining with Trace Clustering: Manufacturing Shop Floor Process - An Applied Case. ICTAI (2017)
Marcus Vinícius Mazega Figueredo, Emerson Cabrera Paraiso, Júlio César Nievola
A constructive algorithm for neural networks inspired on decision trees and evolutionary algorithms. IJCNN (2016)
Luiz Melo Romão, Júlio César Nievola
Hierarchical Multi-label Classification Problems: An LCS Approach. DCAI (2015)
Júlio César Nievola, Emerson Cabrera Paraiso, Alex Alves Freitas
A hierarchical neural network for predicting protein functions. BIBE (2015)
Mauri Ferrandin, Fabrício Enembreck, Júlio César Nievola, Edson Emílio Scalabrin, Bráulio Coelho Ávila
A Centroid-based Approach for Hierarchical Classification. ICEIS (1) (2015)
Luiz Henrique Giovanini Marrega, Júlio César Nievola
Evaluation of the Relevance of Linear and Nonlinear Posturographic Features in the Recognition of Healthy Subjects and Stroke Patients. ICDM Workshops (2014)
Rafael Abud Menezes, Júlio César Nievola
RCMDE-GMD: Predicting gene ontology terms using differential evolution. FSKD (2014)
Helyane Bronoski Borges, Carlos Nascimento Silla Jr., Júlio César Nievola
An evaluation of global-model hierarchical classification algorithms for hierarchical classification problems with single path of labels. Comput. Math. Appl. 66 (10) (2013)
Lucas Galete, Milton Pires Ramos, Júlio César Nievola, Emerson Cabrera Paraiso
Dynamically modeling users with MODUS-SD and Kohonen's map. CSCWD (2013)
Priscila Vriesman Araujo, Carlos Alberto Maziero, Júlio César Nievola
Automatic Classification of Processes in a General-Purpose Operating System. SBESC (2011)