Heitor Murilo Gomes

Most-cited papers

Adaptive random forests for evolving data stream classification
Heitor Murilo Gomes, A. Bifet, Jesse Read, J. P. Barddal +4 more
2017Machine-mediated learning809 citations Open access
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A Survey on Ensemble Learning for Data Stream Classification
Heitor Murilo Gomes, J. P. Barddal, F. Enembreck, A. Bifet
2017ACM Computing Surveys580 citations
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River: machine learning for streaming data in Python
Jacob Montiel, Max Halford, S. Mastelini, Geoffrey Bolmier +7 more
2020Journal of machine learning research345 citations
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Machine learning for streaming data: state of the art, challenges, and opportunities
Heitor Murilo Gomes, Jesse Read, A. Bifet, J. P. Barddal +1 more
2019SKDD270 citations
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Streaming Random Patches for Evolving Data Stream Classification
Heitor Murilo Gomes, Jesse Read, A. Bifet
2019Industrial Conference on Data Mining151 citations
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Data stream analysis: Foundations, major tasks and tools
M. Bahri, A. Bifet, João Gama, Heitor Murilo Gomes +1 more
2021WIREs Data Mining Knowl. Discov.125 citations
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SeGDroid: An Android malware detection method based on sensitive function call graph learning
Zhen Liu, Ruoyu Wang, N. Japkowicz, Heitor Murilo Gomes +2 more
2023Expert systems with applications82 citations
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Drift Adaptation : Definition , Benchmark , Challenges and Future Directions
J. P. Barddal, Heitor Murilo Gomes, F. Enembreck, Bernhard Pfahringer
201677 citations
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A Survey on Semi-supervised Learning for Delayed Partially Labelled Data Streams
Heitor Murilo Gomes, M. Grzenda, R. F. de Mello, Jesse Read +2 more
2021ACM Computing Surveys76 citations Open access
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New mindset in scientific method in the health field: Design Thinking
Fernando Ferreira, E. H. Song, Heitor Murilo Gomes, E. B. Garcia +1 more
2015Clinics70 citations Open access
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STUDD: a student–teacher method for unsupervised concept drift detection
Vítor Cerqueira, Heitor Murilo Gomes, A. Bifet, Luís Torgo
2021Machine-mediated learning66 citations Open access
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Adaptive random forests for data stream regression
Heitor Murilo Gomes, J. P. Barddal, Luis Eduardo Boiko Ferreira, A. Bifet
2018The European Symposium on Artificial Neural Networks58 citations
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Survey on Online Streaming Continual Learning
N. Gunasekara, Bernhard Pfahringer, Heitor Murilo Gomes, A. Bifet
2023International Joint Conference on Artificial Intelligence55 citations Open access
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Machine Learning (In) Security: A Stream of Problems
Fabrício Ceschin, Marcus Botacin, A. Bifet, Bernhard Pfahringer +3 more
2020DTRAP51 citations Open access
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Shallow Security: on the Creation of Adversarial Variants to Evade Machine Learning-Based Malware Detectors
Fabrício Ceschin, Marcus Botacin, Heitor Murilo Gomes, L. Oliveira +1 more
2019Proceedings of the 3rd Reversing and Offensive-oriented Trends Symposium44 citations
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C-SMOTE: Continuous Synthetic Minority Oversampling for Evolving Data Streams
Alessio Bernardo, Heitor Murilo Gomes, Jacob Montiel, Bernhard Pfahringer +2 more
20202020 IEEE International Conference on Big Data (Big Data)43 citations Open access
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Delayed labelling evaluation for data streams
M. Grzenda, Heitor Murilo Gomes, A. Bifet
2019Data mining and knowledge discovery38 citations Open access
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On Dynamic Feature Weighting for Feature Drifting Data Streams
J. P. Barddal, Heitor Murilo Gomes, F. Enembreck, Bernhard Pfahringer +1 more
2016ECML/PKDD36 citations Open access
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Fast & Furious: Modelling Malware Detection as Evolving Data Streams
Fabrício Ceschin, Marcus Botacin, Heitor Murilo Gomes, Felipe Pinag'e +2 more
2022Expert systems with applications35 citations Open access
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Merit-guided dynamic feature selection filter for data streams
J. P. Barddal, F. Enembreck, Heitor Murilo Gomes, A. Bifet +1 more
2019Expert systems with applications35 citations
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Generating action plans for poultry management using artificial neural networks
Richardson Ribeiro, Dalcimar Casanova, Marcelo Teixeira, André L. Wirth +3 more
2019Computers and Electronics in Agriculture33 citations
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Boosting decision stumps for dynamic feature selection on data streams
J. P. Barddal, F. Enembreck, Heitor Murilo Gomes, A. Bifet +1 more
2019Information Systems29 citations Open access
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SNCStream: a social network-based data stream clustering algorithm
J. P. Barddal, Heitor Murilo Gomes, F. Enembreck
2015ACM Symposium on Applied Computing29 citations
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LP-ROBIN: Link prediction in dynamic networks exploiting incremental node embedding
E. Barracchia, Gianvito Pio, A. Bifet, Heitor Murilo Gomes +2 more
2022Information Sciences24 citations Open access
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A Hybrid Sampling Approach for Imbalanced Binary and Multi-Class Data Using Clustering Analysis
A. S. Palli, J. Jaafar, M. Hashmani, Heitor Murilo Gomes +1 more
2022IEEE Access23 citations Open access
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Learning from evolving data streams through ensembles of random patches
Heitor Murilo Gomes, Jesse Read, A. Bifet, R. Durrant
2021Knowledge and Information Systems23 citations Open access
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SAE2: advances on the social adaptive ensemble classifier for data streams
Heitor Murilo Gomes, F. Enembreck
2014ACM Symposium on Applied Computing23 citations
Semantic Scholar
On Ensemble Techniques for Data Stream Regression
Heitor Murilo Gomes, Jacob Montiel, S. Mastelini, Bernhard Pfahringer +1 more
2020IEEE International Joint Conference on Neural Network22 citations Open access
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SOKNL: A novel way of integrating K-nearest neighbours with adaptive random forest regression for data streams
Yibin Sun, Bernhard Pfahringer, Heitor Murilo Gomes, A. Bifet
2022Data mining and knowledge discovery21 citations Open access
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SFNClassifier: a scale-free social network method to handle concept drift
J. P. Barddal, Heitor Murilo Gomes, F. Enembreck
2014ACM Symposium on Applied Computing21 citations
Semantic Scholar
Improving Credit Risk Prediction in Online Peer-to-Peer (P2P) Lending Using Imbalanced Learning Techniques
Luis Eduardo Boiko Ferreira, J. P. Barddal, Heitor Murilo Gomes, F. Enembreck
2017IEEE International Conference on Tools with Artificial Intelligence20 citations
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SNCStream þ : Extending a high quality true anytime data stream clustering algorithm
J. P. Barddal, Heitor Murilo Gomes, F. Enembreck, J. Barthès
201619 citations
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Online Hyperparameter Optimization for Streaming Neural Networks
N. Gunasekara, Heitor Murilo Gomes, Bernhard Pfahringer, A. Bifet
2022IEEE International Joint Conference on Neural Network18 citations
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Semi-supervised Learning over Streaming Data using MOA
Minh-Huong Le-Nguyen, Heitor Murilo Gomes, A. Bifet
20192019 IEEE International Conference on Big Data (Big Data)18 citations
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Analyzing the Impact of Feature Drifts in Streaming Learning
J. P. Barddal, Heitor Murilo Gomes, F. Enembreck
2015International Conference on Neural Information Processing18 citations
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No Need to Teach New Tricks to Old Malware: Winning an Evasion Challenge with XOR-based Adversarial Samples
Fabrício Ceschin, Marcus Botacin, Gabriel Lüders, Heitor Murilo Gomes +2 more
2020Reversing and Offensive-Oriented Trends Symposium16 citations
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Improving the performance of bagging ensembles for data streams through mini-batching
G. Cassales, Heitor Murilo Gomes, A. Bifet, Bernhard Pfahringer +1 more
2021Information Sciences15 citations Open access
Semantic Scholar
Combining Static and Dynamic Analysis to Improve Machine Learning-based Malware Classification
Rajchada Chanajitt, Bernhard Pfahringer, Heitor Murilo Gomes
2021International Conference on Data Science and Advanced Analytics15 citations
Semantic Scholar
Unsupervised Concept Drift Detection Using a Student-Teacher Approach
Vítor Cerqueira, Heitor Murilo Gomes, A. Bifet
2020IFIP Working Conference on Database Semantics14 citations
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SAE: Social Adaptive Ensemble classifier for data streams
Heitor Murilo Gomes, F. Enembreck
2013IEEE Symposium on Computational Intelligence and Data Mining14 citations
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An Experimental Analysis of Drift Detection Methods on Multi-Class Imbalanced Data Streams
A. S. Palli, J. Jaafar, Heitor Murilo Gomes, M. Hashmani +1 more
2022Applied Sciences13 citations Open access
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Balancing Performance and Energy Consumption of Bagging Ensembles for the Classification of Data Streams in Edge Computing
G. Cassales, Heitor Murilo Gomes, A. Bifet, Bernhard Pfahringer +1 more
2022IEEE Transactions on Network and Service Management13 citations Open access
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An eager splitting strategy for online decision trees in ensembles
Chaitanya Manapragada, Heitor Murilo Gomes, Mahsa Salehi, A. Bifet +1 more
2020Data mining and knowledge discovery13 citations Open access
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Correction to: Adaptive random forests for evolving data stream classification
Heitor Murilo Gomes, A. Bifet, Jesse Read, J. P. Barddal +4 more
2019Machine-mediated learning11 citations Open access
Semantic Scholar
Advances on Concept Drift Detection in Regression Tasks Using Social Networks Theory
J. P. Barddal, Heitor Murilo Gomes, F. Enembreck
2023International Journal of Natural Computing Research10 citations Open access
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Adaptive Online Domain Incremental Continual Learning
N. Gunasekara, Heitor Murilo Gomes, A. Bifet, Bernhard Pfahringer
2022International Conference on Artificial Neural Networks9 citations Open access
Semantic Scholar
CS-ARF: Compressed Adaptive Random Forests for Evolving Data Stream Classification
M. Bahri, Heitor Murilo Gomes, A. Bifet, S. Maniu
2020IEEE International Joint Conference on Neural Network9 citations Open access
Semantic Scholar
Mining Attribute Evolution Rules in Dynamic Attributed Graphs
Philippe Fournier-Viger, Ganghuan He, Chun-Wei Lin, Heitor Murilo Gomes
2020International Conference on Data Warehousing and Knowledge Discovery9 citations Open access
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Improving parallel performance of ensemble learners for streaming data through data locality with mini-batching
G. Cassales, Heitor Murilo Gomes, A. Bifet, Bernhard Pfahringer +1 more
20202020 IEEE 22nd International Conference on High Performance Computing and Communications; IEEE 18th International Conference on Smart City; IEEE 6th International Conference on Data Science and Systems (HPCC/SmartCity/DSS)8 citations
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Performance measures for evolving predictions under delayed labelling classification
M. Grzenda, Heitor Murilo Gomes, A. Bifet
2020IEEE International Joint Conference on Neural Network8 citations Open access
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