Jean Paul Barddal
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
49
Venues
12
Active years
2014–2025
Best venue rank
B
Where they publish
Papers
49 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICAISC | Adaptive Interactive Process Drift Detection: Detecting and Visualizing Process Drifts. | Denise Maria Vecino Sato, Sheila Cristiana De Freitas, Jefferson Koji Sato, Jean Paul Barddal, Edson Emlio Scalabrin |
| 2024 | ICMLA | Fuels Demand Forecasting: Identifying Leading Feature Sets, Prediction Strategy, and Regressors. | Jonas Krause, Alexandre C. A. Beiruth, Jean Paul Barddal, Alceu S. Britto Jr., Vincius M. A. de Souza |
| 2024 | ICPR | Improving Sampling Methods for Fine-Tuning SentenceBERT in Text Streams. | Cristiano Mesquita Garcia, Alessandro Lameiras Koerich, Alceu de Souza Britto Junior, Jean Paul Barddal |
| 2024 | ICPR | Dynamic Modality and View Selection for Emotion Recognition: An Experimental Study on Missing Modality Evaluation. | Luciana Trinkaus Menon, Luiz Carlos Ribeiro Neduziak, Jean Paul Barddal, Alessandro Lameiras Koerich, Alceu de Souza Britto Junior |
| 2024 | ICPR | Alleviating Catastrophic Forgetting in Facial Expression Recognition with Emotion-Centered Models. | Israel A. Laurensi R., Alceu de Souza Britto Jr., Jean Paul Barddal, Alessandro Lameiras Koerich |
| 2024 | SAC | Just Change on Change: Adaptive Splitting Time for Decision Trees in Data Stream Classification. | Daniel Nowak Assis, Jean Paul Barddal, Fabrcio Enembreck |
| 2023 | ICMLA | Detecting Relevant Information in High- Volume Chat Logs: Keyphrase Extraction for Grooming and Drug Dealing Forensic Analysis. | Jeovane Honrio Alves, Horcio A. C. G. Pedroso, Rafael Honorio Venetikides, Joel E. M. Kster, Luiz Rodrigo Grochocki, Cinthia O. A. Freitas, Jean Paul Barddal |
| 2023 | ICMLA | Event-driven Sentiment Drift Analysis in Text Streams: An Application in a Soccer Match. | Cristiano Mesquita Garcia, Alceu de Souza Britto Jr., Jean Paul Barddal |
| 2023 | ICMLA | Deep Single Models vs. Ensembles: Insights for a Fast Deployment of Parking Monitoring Systems. | Andre Gustavo Hochuli, Jean Paul Barddal, Gillian Cezar Palhano, Leonardo Matheus Mendes, Paulo Ricardo Lisboa de Almeida |
| 2023 | IJCNN | Mass-Based Short Term Selection of Classifiers in Data Streams. | Daniel Nowak Assis, Fabrcio Enembreck, Jean Paul Barddal |
| 2023 | IJCNN | Benchmarking Feature Extraction Techniques for Textual Data Stream Classification. | Bruno Siedekum Thuma, Pedro Silva de Vargas, Cristiano Mesquita Garcia, Alceu de Souza Britto Jr., Jean Paul Barddal |
| 2022 | ESANN | A Machine Learning Approach for School Dropout Prediction in Brazil. | Joo Gabriel Corra Krger, Jean Paul Barddal, Alceu de Souza Britto Jr. |
| 2022 | ICAART | Univariate Time Series Prediction using Data Stream Mining Algorithms and Temporal Dependence. | Marcos Alberto Mochinski, Jean Paul Barddal, Fabrcio Enembreck |
| 2022 | IJCNN | Evaluation of Self-taught Learning-based Representations for Facial Emotion Recognition. | Bruna Rossetto Delazeri, Leonardo Len Vera, Jean Paul Barddal, Alessandro L. Koerich, Alceu S. Britto Jr. |
| 2022 | IJCNN | Assessing Batch and Online Learning for Delivery in Full and On Time Predictions. | Adriano Alves de Lima, Mrcie Venncio Batista, Jean Paul Barddal, Danilo Sipoli Sanches, Luiz Eduardo Soares de Oliveira |
| 2022 | IJCNN | Classifying Hierarchical Data Streams using Global Classifiers and Summarization Techniques. | Eduardo Tieppo, Jean Paul Barddal, Jlio Csar Nievola |
| 2022 | SMC | Pattern Spotting and Image Retrieval in Historical Documents using Deep Hashing. | Caio da S. Dias, Alceu S. Britto Jr., Jean Paul Barddal, Laurent Heutte, Alessandro L. Koerich |
| 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 | ICAISC | Interactive Process Drift Detection Framework. | Denise Maria Vecino Sato, Jean Paul Barddal, Edson Emlio Scalabrin |
| 2021 | IJCNN | Towards the Overcome of Performance Pitfalls in Data Stream Mining Tools. | Lucca Portes Cavalheiro, Marco Antonio Zanata Alves, Jean Paul Barddal |
| 2021 | IJCNN | Dynamically Selected Ensemble for Data Stream Classification. | Lucca Portes Cavalheiro, Alceu de Souza Britto Jr., Jean Paul Barddal, Laurent Heutte |
| 2021 | PAKDD | UKIRF: An Item Rejection Framework for Improving Negative Items Sampling in One-Class Collaborative Filtering. | Antnio David Viniski, Jean Paul Barddal, Alceu de Souza Britto Jr. |
| 2021 | SMC | Adaptive Global k-Nearest Neighbors for Hierarchical Classification of Data Streams. | Eduardo Tieppo, Jean Paul Barddal, Jlio Csar Nievola |
| 2020 | ICPR | Classifier Pool Generation based on a Two-level Diversity Approach. | Marcos Monteiro, Alceu S. Britto Jr., Jean Paul Barddal, Luiz S. Oliveira, Robert Sabourin |
| 2020 | IJCNN | An End-to-End Approach for Recognition of Modern and Historical Handwritten Numeral Strings. | Andre G. Hochuli, Alceu S. Britto Jr., Jean Paul Barddal, Robert Sabourin, Luiz E. S. Oliveira |
| 2020 | SMC | Nave Approaches to Deal With Concept Drifts. | Paulo Ricardo Lisboa de Almeida, Luiz S. Oliveira, Alceu de Souza Britto Jr., Jean Paul Barddal |
| 2020 | SMC | Combining Slow and Fast Learning for Improved Credit Scoring. | Jean Paul Barddal, Fabrcio Enembreck, Lucas Loezer, Riccardo Lanzuolo |
| 2020 | SMC | ADADRIFT: An Adaptive Learning Technique for Long-history Stream-based Recommender Systems. | Eduardo Ferreira Jos, Fabrcio Enembreck, Jean Paul Barddal |
| 2020 | SMC | Improving Multiple Time Series Forecasting with Data Stream Mining Algorithms. | Marcos Alberto Mochinski, Jean Paul Barddal, Fabrcio Enembreck |
| 2020 | SAC | Cost-sensitive learning for imbalanced data streams. | Lucas Loezer, Fabrcio Enembreck, Jean Paul Barddal, Alceu de Souza Britto Jr. |
| 2019 | IJCNN | Vertical and Horizontal Partitioning in Data Stream Regression Ensembles. | Jean Paul Barddal |
| 2019 | SAC | Learning regularized hoeffding trees from data streams. | Jean Paul Barddal, Fabrcio Enembreck |
| 2019 | SAC | Decision tree-based feature ranking in concept drifting data streams. | Jean Antonio Pereira Karax, Andreia Malucelli, Jean Paul Barddal |
| 2018 | ESANN | Adaptive random forests for data stream regression. | Heitor Murilo Gomes, Jean Paul Barddal, Luis Eduardo Boiko Ferreira, Albert Bifet |
| 2018 | IJCNN | An Experimental Perspective on Sampling Methods for Imbalanced Learning From Financial Databases. | Luis Eduardo Boiko Ferreira, Jean Paul Barddal, Fabrcio Enembreck, Heitor Murilo Gomes |
| 2018 | INDIN | Are fintechs really a hype? A machine learning-based polarity analysis of Brazilian posts on social media. | Marina Ponestke Seara, Andreia Malucelli, Altair Olivo Santin, Jean Paul Barddal |
| 2018 | SAC | Iterative subset selection for feature drifting data streams. | Lanqin Yuan, Bernhard Pfahringer, Jean Paul Barddal |
| 2017 | ICTAI | Improving Credit Risk Prediction in Online Peer-to-Peer (P2P) Lending Using Imbalanced Learning Techniques. | Luis Eduardo Boiko Ferreira, Jean Paul Barddal, Heitor Murilo Gomes, Fabrcio Enembreck |
| 2016 | ICPR | A benchmark of classifiers on feature drifting data streams. | Jean Paul Barddal, Heitor Murilo Gomes, Alceu de Souza Britto Jr., Fabrcio Enembreck |
| 2016 | ICPR | Overcoming feature drifts via dynamic feature weighted k-nearest neighbor learning. | Jean Paul Barddal, Heitor Murilo Gomes, Jones Granatyr, Alceu de Souza Britto Jr., Fabrcio Enembreck |
| 2016 | IJCNN | Towards emotion-based reputation guessing learning agents. | Jones Granatyr, Jean Paul Barddal, Adriano Weihmayer Almeida, Fabrcio Enembreck, Adaiane Pereira dos Santos Granatyr |
| 2015 | ICONIP | Analyzing the Impact of Feature Drifts in Streaming Learning. | Jean Paul Barddal, Heitor Murilo Gomes, Fabrcio Enembreck |
| 2015 | ICONIP | A Complex Network-Based Anytime Data Stream Clustering Algorithm. | Jean Paul Barddal, Heitor Murilo Gomes, Fabrcio Enembreck |
| 2015 | ICONIP | On the Discovery of Time Distance Constrained Temporal Association Rules. | Heitor Murilo Gomes, Deborah Ribeiro de Carvalho, Lourdes Zubieta, Jean Paul Barddal, Andreia Malucelli |
| 2015 | ICTAI | A Survey on Feature Drift Adaptation. | Jean Paul Barddal, Heitor Murilo Gomes, Fabrcio Enembreck |
| 2015 | SAC | SNCStream: a social network-based data stream clustering algorithm. | Jean Paul Barddal, Heitor Murilo Gomes, Fabrcio Enembreck |
| 2015 | SAC | Pairwise combination of classifiers for ensemble learning on data streams. | Heitor Murilo Gomes, Jean Paul Barddal, Fabrcio Enembreck |
| 2014 | SAC | SFNClassifier: a scale-free social network method to handle concept drift. | Jean Paul Barddal, Heitor Murilo Gomes, Fabrcio Enembreck |