Tutor Based on Simulation for Trauma Medical Training in Pre-Hospital Care. - Monika Koncke Fiuza Parolin; Júlio C. Nievola (Applied Informatics, 1999)

Expert System Object-Oriented Combining Systematic and Heuristic Reasoning. - 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 (ICEIS, 1999)

Discovering Fuzzy Classification Rules with Genetic Programming and Co-evolution. - Roberto R. F. Mendes; Fabricio de B. Voznika; Alex Alves Freitas; Júlio C. Nievola (PKDD, 2001)

Constructing X-of-N Attributes with a Genetic Algorithm. - Otavio Larsen; Alex Alves Freitas; Júlio C. Nievola (GECCO Late Breaking Papers, 2002)

Genetic Programming for Attribute Construction in Data Mining. - Fernando E. B. Otero; Monique M. S. Silva; Alex Alves Freitas; Júlio C. Nievola (EuroGP, 2003)

Evaluating the Conventional and Class-Modular Architectures Feedforward Neural Network for Handwritten Word Recognition. - Marcelo N. Kapp; Cinthia Obladen de Almendra Freitas; Júlio C. Nievola; Robert Sabourin (SIBGRAPI, 2003)

Attribute selection methods comparison for classification of diffuse large B-cell lymphoma. - Júlio C. Nievola; Helyane Bronoski Borges (ICMLA, 2005)

Automatic Inconsistency Treatment in Case-Based Reasoning Systems. - Vera Lucia M. Falquete; Júlio C. Nievola; Celso A. A. Kaestner (SBBD, 2006)

Gene-finding as an Attribute Selection Task. - Helyane Bronoski Borges; Júlio C. Nievola (ACIS-ICIS, 2007)

Statistical and Biological Validation Methods in Cluster Analysis of Gene Expression. - Daniele Yumi Sunaga; Júlio C. Nievola; Milton Pires Ramos (ICMLA, 2007)

Feature Selection as a Preprocessing Step for Classification in Gene Expression Data. - Helyane Bronoski Borges; Júlio C. Nievola (ISDA, 2007)

Pattern recognition for brain-computer interface on disabled subjects using a wavelet transformation. - Thiago Bassani; Júlio C. Nievola (CIBCB, 2008)

Comparative of data base evolution in rule association algorithms in incremental and conventional way. - Euclides Peres Farias; Júlio C. Nievola (IJCNN, 2008)

Compression of Electrocardiogram Using Neural Networks and Wavelets. - Marcus Vinícius Mazega Figueredo; Júlio C. Nievola; Sérgio Renato Rogal; Alfredo Beckert Neto (Computer and Information Science, 2008)

Dimensionality Reduction in Gene Expression Database through the Random Projection Method. - Helyane Bronoski Borges; Júlio C. Nievola (ICMLA, 2009)

Gene Selection from Microarray Data. - Helyane Bronoski Borges; Júlio C. Nievola (Intelligent Text Categorization and Clustering, 2009)

Noctua: A tool for Knowledge Acquisition and Collaborative Knowledge Construction with a virtual catalyst. - G. Boz; Milton Pires Ramos; Gilson Yukio Sato; Júlio C. Nievola; Emerson Cabrera Paraiso (CSCWD, 2011)

Multiobjective Optimization of Indexes Obtained by Clustering for Feature Selection Methods Evaluation in Genes Expression Microarrays. - Rodolfo Garcia; Emerson Cabrera Paraiso; Júlio C. Nievola (IDEAL, 2011)

Automatic Classification of Processes in a General-Purpose Operating System. - Priscila Vriesman Araujo; Carlos Alberto Maziero; Júlio César Nievola (SBESC, 2011)

A Virtual Catalyst in the Knowledge Acquisition Process. - Geraldo Boz Jr.; Milton Pires Ramos; Gilson Yukio Sato; Cesar Augusto Tacla; Júlio C. Nievola; Emerson Cabrera Paraiso (SEKE, 2011)

Predicting GPCR and enzymes function with a global approach based on LCS. - Luiz Melo Romão; Júlio C. Nievola (BIBE, 2012)

Hierarchical Classification of Gene Ontology with Learning Classifier Systems. - Luiz Melo Romão; Júlio C. Nievola (IBERAMIA, 2012)

Hierarchical classification using a Competitive Neural Network. - Helyane Bronoski Borges; Júlio C. Nievola (ICNC, 2012)

Multi-Label Hierarchical Classification using a Competitive Neural Network for protein function prediction. - Helyane Bronoski Borges; Júlio C. Nievola (IJCNN, 2012)

New models for long-term Internet traffic forecasting using artificial neural networks and flow based information. - Marcio L. F. Miguel; Manoel Camillo Penna; Júlio C. Nievola; Marcelo Eduardo Pellenz (NOMS, 2012)

Comparing the dimensionality reduction methods in gene expression databases. - Helyane Bronoski Borges; Júlio C. Nievola (Expert Syst. Appl., 2012)

Predicting published news effect in the Brazilian stock market. - P. S. M. Nizer; Júlio C. Nievola (Expert Syst. Appl., 2012)

Dynamically modeling users with MODUS-SD and Kohonen's map. - Lucas Galete; Milton Pires Ramos; Júlio César Nievola; Emerson Cabrera Paraiso (CSCWD, 2013)

An evaluation of global-model hierarchical classification algorithms for hierarchical classification problems with single path of labels. - Helyane Bronoski Borges; Carlos Nascimento Silla Jr.; Júlio César Nievola (Comput. Math. Appl., 2013)

RCMDE-GMD: Predicting gene ontology terms using differential evolution. - Rafael Abud Menezes; Júlio César Nievola (FSKD, 2014)

Evaluation of the Relevance of Linear and Nonlinear Posturographic Features in the Recognition of Healthy Subjects and Stroke Patients. - Luiz Henrique Giovanini Marrega; Júlio César Nievola (ICDM Workshops, 2014)

A hierarchical neural network for predicting protein functions. - Júlio César Nievola; Emerson Cabrera Paraiso; Alex Alves Freitas (BIBE, 2015)

Hierarchical Multi-label Classification Problems: An LCS Approach. - Luiz Melo Romão; Júlio César Nievola (DCAI, 2015)

Comparison between Decision Tree and Genetic Programming to distinguish healthy from stroke postural sway patterns. - Luiz Henrique Giovanini Marrega; Simone M. Silva; Elisangela F. Manffra; Júlio C. Nievola (EMBC, 2015)

Using a Genetic Algorithm Approach to Study the Impact of Imbalanced Corpora in Sentiment Analysis. - Lohann Ferreira; Mariza Dosciatti; Júlio C. Nievola; Emerson Cabrera Paraiso (FLAIRS, 2015)

A Centroid-based Approach for Hierarchical Classification. - Mauri Ferrandin; Fabrício Enembreck; Júlio César Nievola; Edson Emílio Scalabrin; Bráulio Coelho Ávila (ICEIS (1), 2015)

Dynamic Fuzzy-Neural based tool formonitoring and predicting patients conditions using selected vital signs. - Cecilia H. Vallejos de Schatz; Fabio Kurt Schneider; Paulo José Abatti; Júlio C. Nievola (J. Intell. Fuzzy Syst., 2015)

Facial expression recognition using a pairwise feature selection and classification approach. - Marcelo J. Cossetin; Júlio C. Nievola; Alessandro L. Koerich (IJCNN, 2016)

A constructive algorithm for neural networks inspired on decision trees and evolutionary algorithms. - Marcus Vinícius Mazega Figueredo; Emerson Cabrera Paraiso; Júlio César Nievola (IJCNN, 2016)

Comparative Study of Dimensionality Reduction Methods Using Reliable Features for Multiple Datasets Obtained by rs-fMRI in ADHD Prediction. - Rodolfo Garcia; Emerson Cabrera Paraiso; Júlio César Nievola (Canadian AI, 2017)

A Key Risk Indicator for the Game Usage Lifecycle. - Luiz Kummer; Júlio C. Nievola; Emerson Cabrera Paraiso (FLAIRS, 2017)

Sampling and Digital Filtering Effects When Recognizing Postural Control with Statistical Tools and the Decision Tree Classifier. - Luiz Henrique Franco Giovanini; Simone M. Silva; Elisangela F. Manffra; Júlio C. Nievola (ICCS, 2017)

Combining Process Mining with Trace Clustering: Manufacturing Shop Floor Process - An Applied Case. - Alex Meincheim; Cleiton dos Santos Garcia; Júlio César Nievola; Edson Emílio Scalabrin (ICTAI, 2017)

Applying Commitment to Churn and Remaining Players Lifetime Prediction. - Luiz Bernardo Martins Kummer; Júlio César Nievola; Emerson Cabrera Paraiso (CIG, 2018)

Identifying Niche Stage in MMORPGs Using Ensemble Classifier. - Luiz Bernardo Martins Kummer; Júlio César Nievola; Emerson Cabrera Paraiso (FLAIRS, 2018)

An Adaptive Approach for Index Tuning with Learning Classifier Systems on Hybrid Storage Environments. - Wendel Góes Pedrozo; Júlio César Nievola; Deborah Ribeiro Carvalho (HAIS, 2018)

Discriminating Postural Control Behaviors from Posturography with Statistical Tests and Machine Learning Models: Does Time Series Length Matter? - Luiz H. F. Giovanini; Elisangela F. Manffra; Júlio C. Nievola (ICCS (3), 2018)

A generalized financial time series forecasting model based on automatic feature engineering using genetic algorithms and support vector machine. - Norberto Ritzmann Junior; Júlio César Nievola (IJCNN, 2018)

Identifying Influences of Game Upgrades on Profitable Players Behavior in MMORPGs. - Luiz Bernardo Martins Kummer; Hiroyuki Iida; Júlio César Nievola; Emerson Cabrera Paraiso (ICEC-JCSG, 2019)

Classifying Potentially Unbounded Hierarchical Data Streams with Incremental Gaussian Naive Bayes. - Eduardo Tieppo; Jean Paul Barddal; Júlio César Nievola (BRACIS (1), 2021)

Adaptive Global k-Nearest Neighbors for Hierarchical Classification of Data Streams. - Eduardo Tieppo; Jean Paul Barddal; Júlio César Nievola (SMC, 2021)

BNPA: An R package to learn path analysis input models from a data set semi-automatically using Bayesian networks. - Elias Cesar Araujo De Carvalho; Joao Ricardo Nickenig Vissoci; Luciano de Andrade; Wagner de Lara Machado; Emerson Cabrera Paraiso; Júlio César Nievola (Knowl. Based Syst., 2021)

Classifying Hierarchical Data Streams using Global Classifiers and Summarization Techniques. - Eduardo Tieppo; Jean Paul Barddal; Júlio César Nievola (IJCNN, 2022)

Automatic disease vector mosquitoes identification via hierarchical data stream classification. - Eduardo Tieppo; Jean Paul Barddal; Júlio César Nievola (SAC, 2022)

Improving Data Stream Classification using Incremental Yeo-Johnson Power Transformation. - Eduardo Tieppo; Jean Paul Barddal; Júlio César Nievola (SMC, 2022)

Hierarchical classification of data streams: a systematic literature review. - Eduardo Tieppo; Roger Robson dos Santos; Jean Paul Barddal; Júlio César Nievola (Artif. Intell. Rev., 2022)

Adaptive learning on hierarchical data streams using window-weighted Gaussian probabilities. - Eduardo Tieppo; Júlio César Nievola; Jean Paul Barddal (Appl. Soft Comput., 2024)

Biclustering-based multi-label classification. - Luiz Rafael Schmitke; Emerson Cabrera Paraiso; Júlio César Nievola (Knowl. Inf. Syst., 2024)

A Hybrid Software Testing Recommendation System Based on Bugs and Tests Descriptions. - Bruno Kostiuk; Gregory Moro Puppi Wanderley; Cesar Augusto Tacla; Antônio David Viniski; Júlio César Nievola; Emerson Cabrera Paraiso (CSCWD, 2025)