| 2025 | CSCWD | A Hybrid Software Testing Recommendation System Based on Bugs and Tests Descriptions. | Bruno Kostiuk, Gregory Moro Puppi Wanderley, Cesar Augusto Tacla, Antnio David Viniski, Jlio Csar Nievola, Emerson Cabrera Paraiso |
| 2022 | IJCNN | Classifying Hierarchical Data Streams using Global Classifiers and Summarization Techniques. | Eduardo Tieppo, Jean Paul Barddal, Jlio Csar Nievola |
| 2022 | SMC | Improving Data Stream Classification using Incremental Yeo-Johnson Power Transformation. | Eduardo Tieppo, Jean Paul Barddal, Jlio Csar Nievola |
| 2022 | SAC | Automatic disease vector mosquitoes identification via hierarchical data stream classification. | Eduardo Tieppo, Jean Paul Barddal, Jlio Csar Nievola |
| 2021 | SMC | Adaptive Global k-Nearest Neighbors for Hierarchical Classification of Data Streams. | Eduardo Tieppo, Jean Paul Barddal, Jlio Csar Nievola |
| 2018 | FlAIRS | Identifying Niche Stage in MMORPGs Using Ensemble Classifier. | Luiz Bernardo Martins Kummer, Jlio Csar Nievola, Emerson Cabrera Paraiso |
| 2018 | HAIS | An Adaptive Approach for Index Tuning with Learning Classifier Systems on Hybrid Storage Environments. | Wendel Ges Pedrozo, Jlio Csar Nievola, Deborah Ribeiro Carvalho |
| 2018 | IJCNN | A generalized financial time series forecasting model based on automatic feature engineering using genetic algorithms and support vector machine. | Norberto Ritzmann Junior, Jlio Csar Nievola |
| 2017 | AI | Comparative Study of Dimensionality Reduction Methods Using Reliable Features for Multiple Datasets Obtained by rs-fMRI in ADHD Prediction. | Rodolfo Garcia, Emerson Cabrera Paraiso, Jlio Csar Nievola |
| 2017 | ICTAI | Combining Process Mining with Trace Clustering: Manufacturing Shop Floor Process - An Applied Case. | Alex Meincheim, Cleiton dos Santos Garcia, Jlio Csar Nievola, Edson Emlio Scalabrin |
| 2016 | IJCNN | A constructive algorithm for neural networks inspired on decision trees and evolutionary algorithms. | Marcus Vincius Mazega Figueredo, Emerson Cabrera Paraiso, Jlio Csar Nievola |
| 2015 | BIBE | A hierarchical neural network for predicting protein functions. | Jlio Csar Nievola, Emerson Cabrera Paraiso, Alex Alves Freitas |
| 2015 | DCAI | Hierarchical Multi-label Classification Problems: An LCS Approach. | Luiz Melo Romo, Jlio Csar Nievola |
| 2014 | ICDM | Evaluation of the Relevance of Linear and Nonlinear Posturographic Features in the Recognition of Healthy Subjects and Stroke Patients. | Luiz Henrique Giovanini Marrega, Jlio Csar Nievola |
| 2013 | CSCWD | Dynamically modeling users with MODUS-SD and Kohonen's map. | Lucas Galete, Milton Pires Ramos, Jlio Csar Nievola, Emerson Cabrera Paraiso |