Jean Paul Barddal

103 papers B 27C 5Misc 9Journal 44Unranked 18
YearRankTypeTitle / Venue / Authors
2026 J jnl
CaDrift: A Time-dependent Causal Generator of Drifting Data Streams.
CoRR
Eduardo V. L. Barboza, Jean Paul Barddal, Robert Sabourin, Rafael M. O. Cruz
2025 — conf
A Generative Domain Adaptation Scheme for Swift Deployment of Parking Monitoring Systems.
BRACIS (1)
Antonio Michel Ferreira dos Santos, Paulo Ricardo Lisboa de Almeida, Jean Paul Barddal, Andre Gustavo Hochuli
2025 — conf
Adaptive Interactive Process Drift Detection: Detecting and Visualizing Process Drifts.
ICAISC (3)
Denise Maria Vecino Sato, Sheila Cristiana De Freitas, Jefferson Koji Sato, Jean Paul Barddal, Edson Emílio Scalabrin
2025 — conf
Adaptive Options for Decision Trees in Evolving Data Stream Classification.
ECML/PKDD (7)
Daniel Nowak Assis, Jean Paul Barddal, Fabrício Enembreck
2025 J jnl
Behavioral insights of adaptive splitting decision trees in evolving data stream classification.
Knowl. Inf. Syst.
Daniel Nowak Assis, Jean Paul Barddal, Fabrício Enembreck
2025 J jnl
Concept Drift Adaptation in Text Stream Mining Settings: A Systematic Review.
ACM Trans. Intell. Syst. Technol.
Cristiano Mesquita Garcia, Ramon Abílio, Alessandro Lameiras Koerich, Alceu de Souza Britto Jr., Jean Paul Barddal
2025 — conf
OnlineSIRUOS: An Inverse Random Under and Oversampling, Heterogeneous Ensemble, and Meta-learning Approach for Imbalanced Data Stream Classification.
BRACIS (2)
Vinicios Cainã dos Santos Coelho, Alceu de Souza Britto Jr., Jean Paul Barddal
2025 J jnl
Representation ensemble learning applied to facial expression recognition.
Neural Comput. Appl.
Bruna Rossetto Delazeri, Andre Gustavo Hochuli, Jean Paul Barddal, Alessandro Lameiras Koerich, Alceu de Souza Britto Jr.
2025 — conf
Training and Test Machine Learning Models on Encrypted Data: Initial Results and Challenges.
BRACIS (2)
Rodrigo Kruger, Jean Paul Barddal, Vinícius M. A. de Souza
2024 J jnl
Adaptive learning on hierarchical data streams using window-weighted Gaussian probabilities.
Appl. Soft Comput.
Eduardo Tieppo, Júlio César Nievola, Jean Paul Barddal
2024 — conf
Alleviating Catastrophic Forgetting in Facial Expression Recognition with Emotion-Centered Models.
ICPR (9)
Israel A. Laurensi R., Alceu de Souza Britto Jr., Jean Paul Barddal, Alessandro Lameiras Koerich
2024 J jnl
Alleviating Catastrophic Forgetting in Facial Expression Recognition with Emotion-Centered Models.
CoRR
Israel A. Laurensi R., Alceu de Souza Britto Jr., Jean Paul Barddal, Alessandro Lameiras Koerich
2024 — conf
Dynamic Modality and View Selection for Emotion Recognition: An Experimental Study on Missing Modality Evaluation.
ICPR (Workshops and Challenges, 4)
Luciana Trinkaus Menon, Luiz Carlos Ribeiro Neduziak, Jean Paul Barddal, Alessandro Lameiras Koerich, Alceu de Souza Britto Junior
2024 J jnl
Dynamic Modality and View Selection for Multimodal Emotion Recognition with Missing Modalities.
CoRR
Luciana Trinkaus Menon, Luiz Carlos Ribeiro Neduziak, Jean Paul Barddal, Alessandro Lameiras Koerich, Alceu de Souza Britto Jr.
2024 C conf
Fuels Demand Forecasting: Identifying Leading Feature Sets, Prediction Strategy, and Regressors.
ICMLA
Jonas Krause, Alexandre C. A. Beiruth, Jean Paul Barddal, Alceu S. Britto Jr., Vinícius M. A. de Souza
2024 — conf
Improving Sampling Methods for Fine-Tuning SentenceBERT in Text Streams.
ICPR (19)
Cristiano Mesquita Garcia, Alessandro Lameiras Koerich, Alceu de Souza Britto Junior, Jean Paul Barddal
2024 J jnl
Improving Sampling Methods for Fine-tuning SentenceBERT in Text Streams.
CoRR
Cristiano Mesquita Garcia, Alessandro Lameiras Koerich, Alceu de Souza Britto Jr., Jean Paul Barddal
2024 B conf
Is it Fine to Tune? Evaluating SentenceBERT Fine-tuning for Brazilian Portuguese Text Stream Classification.
IEEE Big Data
Bruno Yuiti Leão Imai, Cristiano Mesquita Garcia, Marcio Vinicius Rocha, Alessandro Lameiras Koerich, Alceu de Souza Britto Jr., Jean Paul Barddal
2024 Misc conf
Just Change on Change: Adaptive Splitting Time for Decision Trees in Data Stream Classification.
SAC
Daniel Nowak Assis, Jean Paul Barddal, Fabrício Enembreck
2024 B conf
LongKey: Keyphrase Extraction for Long Documents.
IEEE Big Data
Jeovane Honório Alves, Radu State, Cinthia Obladen de Almendra Freitas, Jean Paul Barddal
2024 J jnl
LongKey: Keyphrase Extraction for Long Documents.
CoRR
Jeovane Honório Alves, Radu State, Cinthia Obladen de Almendra Freitas, Jean Paul Barddal
2024 J jnl
Methods for Generating Drift in Text Streams.
CoRR
Cristiano Mesquita Garcia, Alessandro Lameiras Koerich, Alceu de Souza Britto Jr., Jean Paul Barddal
2024 J jnl
Random forest kernel for high-dimension low sample size classification.
Stat. Comput.
Lucca Portes Cavalheiro, Simon Bernard, Jean Paul Barddal, Laurent Heutte
2024 J jnl
Temporal Analysis of Drifting Hashtags in Textual Data Streams: A Graph-Based Application.
CoRR
Cristiano Mesquita Garcia, Alceu de Souza Britto Jr., Jean Paul Barddal
2024 J jnl
Temporal analysis of drifting hashtags in textual data streams: A graph-based application.
Expert Syst. Appl.
Cristiano Mesquita Garcia, Alceu de Souza Britto Jr., Jean Paul Barddal
2023 — conf
A Tool for Measuring Energy Consumption in Data Stream Mining.
BRACIS (3)
Eric Kenzo Taniguchi Onuki, Andreia Malucelli, Jean Paul Barddal
2023 J jnl
Advances on Concept Drift Detection in Regression Tasks using Social Networks Theory.
CoRR
Jean Paul Barddal, Heitor Murilo Gomes, Fabrício Enembreck
2023 J jnl
An explainable machine learning approach for student dropout prediction.
Expert Syst. Appl.
João Gabriel Corrêa Krüger, Alceu de Souza Britto Jr., Jean Paul Barddal
2023 B conf
Benchmarking Feature Extraction Techniques for Textual Data Stream Classification.
IJCNN
Bruno Siedekum Thuma, Pedro Silva de Vargas, Cristiano Mesquita Garcia, Alceu de Souza Britto Jr., Jean Paul Barddal
2023 J jnl
Concept Drift Adaptation in Text Stream Mining Settings: A Comprehensive Review.
CoRR
Cristiano Mesquita Garcia, Ramon Simoes Abilio, Alessandro Lameiras Koerich, Alceu de Souza Britto Jr., Jean Paul Barddal
2023 C conf
Deep Single Models vs. Ensembles: Insights for a Fast Deployment of Parking Monitoring Systems.
ICMLA
Andre Gustavo Hochuli, Jean Paul Barddal, Gillian Cezar Palhano, Leonardo Matheus Mendes, Paulo Ricardo Lisboa de Almeida
2023 J jnl
Deep Single Models vs. Ensembles: Insights for a Fast Deployment of Parking Monitoring Systems.
CoRR
Andre Gustavo Hochuli, Jean Paul Barddal, Gillian Cezar Palhano, Leonardo Matheus Mendes, Paulo Ricardo Lisboa de Almeida
2023 C conf
Detecting Relevant Information in High- Volume Chat Logs: Keyphrase Extraction for Grooming and Drug Dealing Forensic Analysis.
ICMLA
Jeovane Honório Alves, Horácio A. C. G. Pedroso, Rafael Honorio Venetikides, Joel E. M. Köster, Luiz Rodrigo Grochocki, Cinthia O. A. Freitas, Jean Paul Barddal
2023 J jnl
Detecting Relevant Information in High-Volume Chat Logs: Keyphrase Extraction for Grooming and Drug Dealing Forensic Analysis.
CoRR
Jeovane Honório Alves, Horácio A. C. G. Pedroso, Rafael Honorio Venetikides, Joel E. M. Köster, Luiz Rodrigo Grochocki, Cinthia O. de A. Freitas, Jean Paul Barddal
2023 C conf
Event-driven Sentiment Drift Analysis in Text Streams: An Application in a Soccer Match.
ICMLA
Cristiano Mesquita Garcia, Alceu de Souza Britto Jr., Jean Paul Barddal
2023 J jnl
Exploring diversity in data complexity and classifier decision spaces for pool generation.
Inf. Fusion
Marcos Monteiro, Alceu de Souza Britto Junior, Jean Paul Barddal, Luiz S. Oliveira, Robert Sabourin
2023 J jnl
Incremental specialized and specialized-generalized matrix factorization models based on adaptive learning rate optimizers.
Neurocomputing
Antônio David Viniski, Jean Paul Barddal, Alceu de Souza Britto Junior, Humberto Vinicius Aparecido de Campos
2023 B conf
Mass-Based Short Term Selection of Classifiers in Data Streams.
IJCNN
Daniel Nowak Assis, Fabrício Enembreck, Jean Paul Barddal
2023 J jnl
Random Forest Dissimilarity for High-Dimension Low Sample Size Classification.
CoRR
Lucca Portes Cavalheiro, Simon Bernard, Jean Paul Barddal, Laurent Heutte
2022 B conf
A Machine Learning Approach for School Dropout Prediction in Brazil.
ESANN
João Gabriel Corrêa Krüger, Jean Paul Barddal, Alceu de Souza Britto Jr.
2022 J jnl
A Survey on Concept Drift in Process Mining.
ACM Comput. Surv.
Denise Maria Vecino Sato, Sheila Cristiana De Freitas, Jean Paul Barddal, Edson Emílio Scalabrin
2022 J jnl
A Systematic Review on Computer Vision-Based Parking Lot Management Applied on Public Datasets.
CoRR
Paulo Ricardo Lisboa de Almeida, Jeovane Honório Alves, Rafael Stubs Parpinelli, Jean Paul Barddal
2022 J jnl
A systematic review on computer vision-based parking lot management applied on public datasets.
Expert Syst. Appl.
Paulo Ricardo Lisboa de Almeida, Jeovane Honório Alves, Rafael Stubs Parpinelli, Jean Paul Barddal
2022 B conf
Assessing Batch and Online Learning for Delivery in Full and On Time Predictions.
IJCNN
Adriano Alves de Lima, Márcie Venâncio Batista, Jean Paul Barddal, Danilo Sipoli Sanches, Luiz Eduardo Soares de Oliveira
2022 Misc conf
Automatic disease vector mosquitoes identification via hierarchical data stream classification.
SAC
Eduardo Tieppo, Jean Paul Barddal, Júlio César Nievola
2022 B conf
Classifying Hierarchical Data Streams using Global Classifiers and Summarization Techniques.
IJCNN
Eduardo Tieppo, Jean Paul Barddal, Júlio César Nievola
2022 J jnl
Evaluating k-NN in the Classification of Data Streams with Concept Drift.
CoRR
Roberto Souto Maior de Barros, Silas Garrido Teixeira de Carvalho Santos, Jean Paul Barddal
2022 B conf
Evaluation of Self-taught Learning-based Representations for Facial Emotion Recognition.
IJCNN
Bruna Rossetto Delazeri, Leonardo León Vera, Jean Paul Barddal, Alessandro L. Koerich, Alceu S. Britto Jr.
2022 J jnl
Evaluation of Self-taught Learning-based Representations for Facial Emotion Recognition.
CoRR
Bruna Rossetto Delazeri, Leonardo León Vera, Alceu S. Britto Jr., Jean Paul Barddal, Alessandro L. Koerich
2022 J jnl
Hierarchical classification of data streams: a systematic literature review.
Artif. Intell. Rev.
Eduardo Tieppo, Roger Robson dos Santos, Jean Paul Barddal, Júlio César Nievola
2022 B conf
Improving Data Stream Classification using Incremental Yeo-Johnson Power Transformation.
SMC
Eduardo Tieppo, Jean Paul Barddal, Júlio César Nievola
2022 B conf
Pattern Spotting and Image Retrieval in Historical Documents using Deep Hashing.
SMC
Caio da S. Dias, Alceu S. Britto Jr., Jean Paul Barddal, Laurent Heutte, Alessandro L. Koerich
2022 J jnl
Pattern Spotting and Image Retrieval in Historical Documents using Deep Hashing.
CoRR
Caio da S. Dias, Alceu de Souza Britto Jr., Jean Paul Barddal, Laurent Heutte, Alessandro L. Koerich
2022 — conf
Univariate Time Series Prediction using Data Stream Mining Algorithms and Temporal Dependence.
ICAART (2)
Marcos Alberto Mochinski, Jean Paul Barddal, Fabrício Enembreck
2021 J jnl
A Survey on Concept Drift in Process Mining.
CoRR
Denise Maria Vecino Sato, Sheila Cristiana De Freitas, Jean Paul Barddal, Edson Emílio Scalabrin
2021 J jnl
A case study of batch and incremental recommender systems in supermarket data under concept drifts and cold start.
Expert Syst. Appl.
Antônio David Viniski, Jean Paul Barddal, Alceu de Souza Britto Jr., Fabrício Enembreck, Humberto Vinicius Aparecido de Campos
2021 B conf
Adaptive Global k-Nearest Neighbors for Hierarchical Classification of Data Streams.
SMC
Eduardo Tieppo, Jean Paul Barddal, Júlio César Nievola
2021 — conf
Classifying Potentially Unbounded Hierarchical Data Streams with Incremental Gaussian Naive Bayes.
BRACIS (1)
Eduardo Tieppo, Jean Paul Barddal, Júlio César Nievola
2021 B conf
Dynamically Selected Ensemble for Data Stream Classification.
IJCNN
Lucca Portes Cavalheiro, Alceu de Souza Britto Jr., Jean Paul Barddal, Laurent Heutte
2021 — conf
Interactive Process Drift Detection Framework.
ICAISC (2)
Denise Maria Vecino Sato, Jean Paul Barddal, Edson Emílio Scalabrin
2021 B conf
Towards the Overcome of Performance Pitfalls in Data Stream Mining Tools.
IJCNN
Lucca Portes Cavalheiro, Marco Antonio Zanata Alves, Jean Paul Barddal
2021 — conf
UKIRF: An Item Rejection Framework for Improving Negative Items Sampling in One-Class Collaborative Filtering.
PAKDD (2)
Antônio David Viniski, Jean Paul Barddal, Alceu de Souza Britto Jr.
2020 B conf
ADADRIFT: An Adaptive Learning Technique for Long-history Stream-based Recommender Systems.
SMC
Eduardo Ferreira José, Fabrício Enembreck, Jean Paul Barddal
2020 B conf
An End-to-End Approach for Recognition of Modern and Historical Handwritten Numeral Strings.
IJCNN
Andre G. Hochuli, Alceu S. Britto Jr., Jean Paul Barddal, Robert Sabourin, Luiz E. S. Oliveira
2020 J jnl
An End-to-End Approach for Recognition of Modern and Historical Handwritten Numeral Strings.
CoRR
Andre G. Hochuli, Alceu S. Britto Jr., Jean Paul Barddal, Luiz E. S. Oliveira, Robert Sabourin
2020 B conf
Classifier Pool Generation based on a Two-level Diversity Approach.
ICPR
Marcos Monteiro, Alceu S. Britto Jr., Jean Paul Barddal, Luiz S. Oliveira, Robert Sabourin
2020 J jnl
Classifier Pool Generation based on a Two-level Diversity Approach.
CoRR
Marcos Monteiro, Alceu S. Britto Jr., Jean Paul Barddal, Luiz S. Oliveira, Robert Sabourin
2020 B conf
Combining Slow and Fast Learning for Improved Credit Scoring.
SMC
Jean Paul Barddal, Fabrício Enembreck, Lucas Loezer, Riccardo Lanzuolo
2020 Misc conf
Cost-sensitive learning for imbalanced data streams.
SAC
Lucas Loezer, Fabrício Enembreck, Jean Paul Barddal, Alceu de Souza Britto Jr.
2020 B conf
Improving Multiple Time Series Forecasting with Data Stream Mining Algorithms.
SMC
Marcos Alberto Mochinski, Jean Paul Barddal, Fabrício Enembreck
2020 J jnl
Lessons learned from data stream classification applied to credit scoring.
Expert Syst. Appl.
Jean Paul Barddal, Lucas Loezer, Fabrício Enembreck, Riccardo Lanzuolo
2020 B conf
Naïve Approaches to Deal With Concept Drifts.
SMC
Paulo Ricardo Lisboa de Almeida, Luiz S. Oliveira, Alceu de Souza Britto Jr., Jean Paul Barddal
2020 J jnl
Regularized and incremental decision trees for data streams.
Ann. des Télécommunications
Jean Paul Barddal, Fabrício Enembreck
2020 J jnl
scikit-dyn2sel - A Dynamic Selection Framework for Data Streams.
CoRR
Lucca Portes Cavalheiro, Jean Paul Barddal, Alceu de Souza Britto Jr., Laurent Heutte
2019 J jnl
Boosting decision stumps for dynamic feature selection on data streams.
Inf. Syst.
Jean Paul Barddal, Fabrício Enembreck, Heitor Murilo Gomes, Albert Bifet, Bernhard Pfahringer
2019 J jnl
Correction to: Adaptive random forests for evolving data stream classification.
Mach. Learn.
Heitor Murilo Gomes, Albert Bifet, Jesse Read, Jean Paul Barddal, Fabrício Enembreck, Bernhard Pfahringer, Geoff Holmes, Talel Abdessalem
2019 Misc conf
Decision tree-based feature ranking in concept drifting data streams.
SAC
Jean Antonio Pereira Karax, Andreia Malucelli, Jean Paul Barddal
2019 Misc conf
Learning regularized hoeffding trees from data streams.
SAC
Jean Paul Barddal, Fabrício Enembreck
2019 J jnl
Machine learning for streaming data: state of the art, challenges, and opportunities.
SIGKDD Explor.
Heitor Murilo Gomes, Jesse Read, Albert Bifet, Jean Paul Barddal, João Gama
2019 J jnl
Merit-guided dynamic feature selection filter for data streams.
Expert Syst. Appl.
Jean Paul Barddal, Fabrício Enembreck, Heitor Murilo Gomes, Albert Bifet, Bernhard Pfahringer
2019 B conf
Vertical and Horizontal Partitioning in Data Stream Regression Ensembles.
IJCNN
Jean Paul Barddal
2018 B conf
Adaptive random forests for data stream regression.
ESANN
Heitor Murilo Gomes, Jean Paul Barddal, Luis Eduardo Boiko Ferreira, Albert Bifet
2018 B conf
An Experimental Perspective on Sampling Methods for Imbalanced Learning From Financial Databases.
IJCNN
Luis Eduardo Boiko Ferreira, Jean Paul Barddal, Fabrício Enembreck, Heitor Murilo Gomes
2018 C conf
Are fintechs really a hype? A machine learning-based polarity analysis of Brazilian posts on social media.
INDIN
Marina Ponestke Seara, Andreia Malucelli, Altair Olivo Santin, Jean Paul Barddal
2018 Misc conf
Iterative subset selection for feature drifting data streams.
SAC
Lanqin Yuan, Bernhard Pfahringer, Jean Paul Barddal
2017 J jnl
A Survey on Ensemble Learning for Data Stream Classification.
ACM Comput. Surv.
Heitor Murilo Gomes, Jean Paul Barddal, Fabrício Enembreck, Albert Bifet
2017 J jnl
A survey on feature drift adaptation: Definition, benchmark, challenges and future directions.
J. Syst. Softw.
Jean Paul Barddal, Heitor Murilo Gomes, Fabrício Enembreck, Bernhard Pfahringer
2017 J jnl
Adaptive random forests for evolving data stream classification.
Mach. Learn.
Heitor Murilo Gomes, Albert Bifet, Jesse Read, Jean Paul Barddal, Fabrício Enembreck, Bernhard Pfahringer, Geoff Holmes, Talel Abdessalem
2017 B conf
Improving Credit Risk Prediction in Online Peer-to-Peer (P2P) Lending Using Imbalanced Learning Techniques.
ICTAI
Luis Eduardo Boiko Ferreira, Jean Paul Barddal, Heitor Murilo Gomes, Fabrício Enembreck
2016 B conf
A benchmark of classifiers on feature drifting data streams.
ICPR
Jean Paul Barddal, Heitor Murilo Gomes, Alceu de Souza Britto Jr., Fabrício Enembreck
2016 — conf
On Dynamic Feature Weighting for Feature Drifting Data Streams.
ECML/PKDD (2)
Jean Paul Barddal, Heitor Murilo Gomes, Fabrício Enembreck, Bernhard Pfahringer, Albert Bifet
2016 B conf
Overcoming feature drifts via dynamic feature weighted k-nearest neighbor learning.
ICPR
Jean Paul Barddal, Heitor Murilo Gomes, Jones Granatyr, Alceu de Souza Britto Jr., Fabrício Enembreck
2016 J jnl
SNCStream
Inf. Syst.
Jean Paul Barddal, Heitor Murilo Gomes, Fabrício Enembreck, Jean-Paul A. Barthès
2016 B conf
Towards emotion-based reputation guessing learning agents.
IJCNN
Jones Granatyr, Jean Paul Barddal, Adriano Weihmayer Almeida, Fabrício Enembreck, Adaiane Pereira dos Santos Granatyr
2015 — conf
A Complex Network-Based Anytime Data Stream Clustering Algorithm.
ICONIP (1)
Jean Paul Barddal, Heitor Murilo Gomes, Fabrício Enembreck
2015 B conf
A Survey on Feature Drift Adaptation.
ICTAI
Jean Paul Barddal, Heitor Murilo Gomes, Fabrício Enembreck
2015 J jnl
Advances on Concept Drift Detection in Regression Tasks Using Social Networks Theory.
Int. J. Nat. Comput. Res.
Jean Paul Barddal, Heitor Murilo Gomes, Fabrício Enembreck
2015 — conf
Analyzing the Impact of Feature Drifts in Streaming Learning.
ICONIP (1)
Jean Paul Barddal, Heitor Murilo Gomes, Fabrício Enembreck
2015 — conf
Applying Ensemble-based Online Learning Techniques on Crime Forecasting.
ICEIS (1)
Anderson José de Souza, André Pinz Borges, Heitor Murilo Gomes, Jean Paul Barddal, Fabrício Enembreck
2015 — conf
On the Discovery of Time Distance Constrained Temporal Association Rules.
ICONIP (2)
Heitor Murilo Gomes, Deborah Ribeiro de Carvalho, Lourdes Zubieta, Jean Paul Barddal, Andreia Malucelli
2015 Misc conf
Pairwise combination of classifiers for ensemble learning on data streams.
SAC
Heitor Murilo Gomes, Jean Paul Barddal, Fabrício Enembreck
2015 Misc conf
SNCStream: a social network-based data stream clustering algorithm.
SAC
Jean Paul Barddal, Heitor Murilo Gomes, Fabrício Enembreck
2014 Misc conf
SFNClassifier: a scale-free social network method to handle concept drift.
SAC
Jean Paul Barddal, Heitor Murilo Gomes, Fabrício Enembreck