| 2025 | AAAI | Kolmogorov-Arnold Networks Still Catastrophically Forget but Differently from MLP. | Anton Lee, Heitor Murilo Gomes, Yaqian Zhang, W. Bastiaan Kleijn |
| 2025 | CIKM | Dynamic Ensemble Member Selection for Data Stream Classification. | Yibin Sun, Bernhard Pfahringer, Heitor Murilo Gomes, Albert Bifet |
| 2025 | DIMVA | Towards Explainable Drift Detection and Early Retrain in ML-Based Malware Detection Pipelines. | Jayesh Tripathi, Heitor Murilo Gomes, Marcus Botacin |
| 2025 | ICDE | Machine Learning on the Fly: A Hands-On Tutorial for Streaming Data. | Heitor Murilo Gomes, Nuwan Gunasekara, Yibin Sun |
| 2025 | PRICAI | Detecting Domain Shifts in Myoelectric Activations: Challenges and Opportunities in Stream Learning. | Yibin Sun, Nick Jin Sean Lim, Guilherme Weigert Cassales, Heitor Murilo Gomes, Bernhard Pfahringer, Albert Bifet, Anany Dwivedi |
| 2025 | SMC | Drift-Aware Machine Learning for Operational State Classification in Biogas Dry Reforming. | Marcos A. Schreiner, Renan Akira Escribano, Heitor Murilo Gomes, Paulo R. L. de Almeida, Luiz E. S. Oliveira |
| 2024 | IJCAI | Recurrent Concept Drifts on Data Streams. | Nuwan Gunasekara, Bernhard Pfahringer, Heitor Murilo Gomes, Albert Bifet, Yun Sing Koh |
| 2024 | IJCAI | Time-Evolving Data Science and Artificial Intelligence for Advanced Open Environmental Science (TAIAO) Programme. | Yun Sing Koh, Albert Bifet, Karin R. Bryan, Guilherme Weigert Cassales, Olivier Graffeuille, Nick Jin Sean Lim, Phil Mourot, Ding Ning, Bernhard Pfahringer, Varvara Vetrova, Heitor Murilo Gomes |
| 2024 | KDD | Practical Machine Learning for Streaming Data. | Heitor Murilo Gomes, Albert Bifet |
| 2024 | PAKDD | Adaptive Prediction Interval for Data Stream Regression. | Yibin Sun, Bernhard Pfahringer, Heitor Murilo Gomes, Albert Bifet |
| 2024 | PRICAI | Real-Time Energy Pricing in New Zealand: An Evolving Stream Analysis. | Yibin Sun, Heitor Murilo Gomes, Bernhard Pfahringer, Albert Bifet |
| 2024 | RAID | Cross-Regional Malware Detection via Model Distilling and Federated Learning. | Marcus Botacin, Heitor Murilo Gomes |
| 2023 | CIKM | Look At Me, No Replay! SurpriseNet: Anomaly Detection Inspired Class Incremental Learning. | Anton Lee, Yaqian Zhang, Heitor Murilo Gomes, Albert Bifet, Bernhard Pfahringer |
| 2023 | IJCAI | Survey on Online Streaming Continual Learning. | Nuwan Gunasekara, Bernhard Pfahringer, Heitor Murilo Gomes, Albert Bifet |
| 2022 | DIS | Adaptive Neural Networks for Online Domain Incremental Continual Learning. | Nuwan Gunasekara, Heitor Murilo Gomes, Albert Bifet, Bernhard Pfahringer |
| 2022 | ICANN | A Comparison of Neural Network Architectures for Malware Classification Based on Noriben Operation Sequences. | Rajchada Chanajitt, Bernhard Pfahringer, Heitor Murilo Gomes |
| 2022 | ICANN | Adaptive Online Domain Incremental Continual Learning. | Nuwan Gunasekara, Heitor Murilo Gomes, Albert Bifet, Bernhard Pfahringer |
| 2022 | IJCNN | Online Hyperparameter Optimization for Streaming Neural Networks. | Nuwan Gunasekara, Heitor Murilo Gomes, Bernhard Pfahringer, Albert Bifet |
| 2022 | IJCNN | Balancing the Stability-Plasticity Dilemma with Online Stability Tuning for Continual Learning. | Anton Lee, Heitor Murilo Gomes, Yaqian Zhang |
| 2021 | DSAA | Combining Static and Dynamic Analysis to Improve Machine Learning-based Malware Classification. | Rajchada Chanajitt, Bernhard Pfahringer, Heitor Murilo Gomes |
| 2020 | DaWaK | Mining Attribute Evolution Rules in Dynamic Attributed Graphs. | Philippe Fournier-Viger, Ganghuan He, Jerry Chun-Wei Lin, Heitor Murilo Gomes |
| 2020 | DIS | Unsupervised Concept Drift Detection Using a Student-Teacher Approach. | Vtor Cerqueira, Heitor Murilo Gomes, Albert Bifet |
| 2020 | HPCC | Improving parallel performance of ensemble learners for streaming data through data locality with mini-batching. | Guilherme Weigert Cassales, Heitor Murilo Gomes, Albert Bifet, Bernhard Pfahringer, Hermes Senger |
| 2020 | IJCAI | Survey on Feature Transformation Techniques for Data Streams. | Maroua Bahri, Albert Bifet, Silviu Maniu, Heitor Murilo Gomes |
| 2020 | IJCNN | CS-ARF: Compressed Adaptive Random Forests for Evolving Data Stream Classification. | Maroua Bahri, Heitor Murilo Gomes, Albert Bifet, Silviu Maniu |
| 2020 | IJCNN | On Ensemble Techniques for Data Stream Regression. | Heitor Murilo Gomes, Jacob Montiel, Saulo Martiello Mastelini, Bernhard Pfahringer, Albert Bifet |
| 2020 | IJCNN | Performance measures for evolving predictions under delayed labelling classification. | Maciej Grzenda, Heitor Murilo Gomes, Albert Bifet |
| 2019 | ICDM | Streaming Random Patches for Evolving Data Stream Classification. | Heitor Murilo Gomes, Jesse Read, Albert Bifet |
| 2019 | ICONIP | Network of Experts: Learning from Evolving Data Streams Through Network-Based Ensembles. | Heitor Murilo Gomes, Albert Bifet, Philippe Fournier-Viger, Jones Granatyr, Jesse Read |
| 2019 | IJCNN | Adaptive Random Forests with Resampling for Imbalanced data Streams. | Luis Eduardo Boiko Ferreira, Heitor Murilo Gomes, Albert Bifet, Luiz S. Oliveira |
| 2019 | SMC | Inferring Trust Using Personality Aspects Extracted from Texts. | Jones Granatyr, Heitor Murilo Gomes, Joo Miguel Dias, Ana Maria Paiva, Maria Augusta Silveira Netto Nunes, Edson Emlio Scalabrin, Fbio Spak |
| 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 |
| 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 | SAC | Advances in network-based ensemble classifiers for evolving data streams: student research abstract. | Heitor Murilo Gomes |
| 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 |
| 2014 | SAC | SAE2: advances on the social adaptive ensemble classifier for data streams. | Heitor Murilo Gomes, Fabrcio Enembreck |
| 2013 | CIDM | SAE: Social Adaptive Ensemble classifier for data streams. | Heitor Murilo Gomes, Fabrcio Enembreck |