Heitor Murilo Gomes

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 70

Top Topics

Top Venues

Publications

Zhen Liu, Ruoyu Wang, Nathalie Japkowicz, Heitor Murilo Gomes, Bitao Peng, Wenbin Zhang
SeGDroid: An Android malware detection method based on sensitive function call graph learning. Expert Syst. Appl. 235 (2024)
Nuwan Gunasekara, Bernhard Pfahringer, Heitor Murilo Gomes, Albert Bifet
Gradient boosted trees for evolving data streams. Mach. Learn. 113 (5) (2024)
Heitor Murilo Gomes, Albert Bifet
Practical Machine Learning for Streaming Data. KDD (2024)
Yibin Sun, Bernhard Pfahringer, Heitor Murilo Gomes, Albert Bifet
Adaptive Prediction Interval for Data Stream Regression. PAKDD (3) (2024)
Reginaldo Luna, Guilherme Weigert Cassales, Bernhard Pfahringer, Albert Bifet, Heitor Murilo Gomes, Hermes Senger
Mini-batching with Fused Training and Testing for Data Streams Processing on the Edge. CF (2024)
Anton Lee, Yaqian Zhang, Heitor Murilo Gomes, Albert Bifet, Bernhard Pfahringer
Look At Me, No Replay! SurpriseNet: Anomaly Detection Inspired Class Incremental Learning. CoRR (2023)
Guilherme Weigert Cassales, Heitor Murilo Gomes, Albert Bifet, Bernhard Pfahringer, Hermes Senger
Balancing Performance and Energy Consumption of Bagging Ensembles for the Classification of Data Streams in Edge Computing. IEEE Trans. Netw. Serv. Manag. 20 (3) (2023)
Vítor Cerqueira, Heitor Murilo Gomes, Albert Bifet, Luís Torgo
STUDD: a student-teacher method for unsupervised concept drift detection. Mach. Learn. 112 (11) (2023)
Fabrício Ceschin, Marcus Botacin, Heitor Murilo Gomes, Felipe Azevedo Pinage, Luiz S. Oliveira, André Grégio
Fast & Furious: On the modelling of malware detection as an evolving data stream. Expert Syst. Appl. 212 (2023)
Heitor Murilo Gomes, Maciej Grzenda, Rodrigo Fernandes de Mello, Jesse Read, Minh-Huong Le Nguyen, Albert Bifet
A Survey on Semi-supervised Learning for Delayed Partially Labelled Data Streams. ACM Comput. Surv. 55 (4) (2023)
Nuwan Gunasekara, Bernhard Pfahringer, Heitor Murilo Gomes, Albert Bifet
Survey on Online Streaming Continual Learning. IJCAI (2023)
Anton Lee, Yaqian Zhang, Heitor Murilo Gomes, Albert Bifet, Bernhard Pfahringer
Look At Me, No Replay! SurpriseNet: Anomaly Detection Inspired Class Incremental Learning. CIKM (2023)
Jean Paul Barddal, Heitor Murilo Gomes, Fabrício Enembreck
Advances on Concept Drift Detection in Regression Tasks using Social Networks Theory. CoRR (2023)
Guilherme Weigert Cassales, Heitor Murilo Gomes, Albert Bifet, Bernhard Pfahringer, Hermes Senger
Balancing Performance and Energy Consumption of Bagging Ensembles for the Classification of Data Streams in Edge Computing. CoRR (2022)
Yibin Sun, Bernhard Pfahringer, Heitor Murilo Gomes, Albert Bifet
SOKNL: A novel way of integrating K-nearest neighbours with adaptive random forest regression for data streams. Data Min. Knowl. Discov. 36 (5) (2022)
Fabrício Ceschin, Marcus Botacin, Heitor Murilo Gomes, Felipe Azevedo Pinage, Luiz S. Oliveira, André Grégio
Fast & Furious: Modelling Malware Detection as Evolving Data Streams. CoRR (2022)
Rajchada Chanajitt, Bernhard Pfahringer, Heitor Murilo Gomes, Vithya Yogarajan
Multiclass Malware Classification Using Either Static Opcodes or Dynamic API Calls. AI (2022)
Emanuele Pio Barracchia, Gianvito Pio, Albert Bifet, Heitor Murilo Gomes, Bernhard Pfahringer, Michelangelo Ceci
LP-ROBIN: Link prediction in dynamic networks exploiting incremental node embedding. Inf. Sci. 606 (2022)
Anton Lee, Heitor Murilo Gomes, Yaqian Zhang
Balancing the Stability-Plasticity Dilemma with Online Stability Tuning for Continual Learning. IJCNN (2022)
Ioan Petri, Ioan Chirila, Heitor Murilo Gomes, Albert Bifet, Omer F. Rana
Resource-Aware Edge-Based Stream Analytics. IEEE Internet Comput. 26 (4) (2022)
Rajchada Chanajitt, Bernhard Pfahringer, Heitor Murilo Gomes
A Comparison of Neural Network Architectures for Malware Classification Based on Noriben Operation Sequences. ICANN (1) (2022)
Chaitanya Manapragada, Heitor Murilo Gomes, Mahsa Salehi, Albert Bifet, Geoffrey I. Webb
An eager splitting strategy for online decision trees in ensembles. Data Min. Knowl. Discov. 36 (2) (2022)
Nuwan Gunasekara, Heitor Murilo Gomes, Albert Bifet, Bernhard Pfahringer
Adaptive Neural Networks for Online Domain Incremental Continual Learning. DS (2022)
Nuwan Gunasekara, Heitor Murilo Gomes, Albert Bifet, Bernhard Pfahringer
Adaptive Online Domain Incremental Continual Learning. ICANN (1) (2022)
Nuwan Gunasekara, Heitor Murilo Gomes, Bernhard Pfahringer, Albert Bifet
Online Hyperparameter Optimization for Streaming Neural Networks. IJCNN (2022)
Abdul Sattar Palli, Jafreezal Jaafar, Manzoor Ahmed Hashmani, Heitor Murilo Gomes, Abdul Rehman Gilal
A Hybrid Sampling Approach for Imbalanced Binary and Multi-Class Data Using Clustering Analysis. IEEE Access 10 (2022)
Heitor Murilo Gomes, Maciej Grzenda, Rodrigo Fernandes de Mello, Jesse Read, Minh-Huong Le Nguyen, Albert Bifet
A Survey on Semi-Supervised Learning for Delayed Partially Labelled Data Streams. CoRR (2021)
Lucas Schmidt, Dalcimar Casanova, Richardson Ribeiro, Marcelo Teixeira, Heitor Murilo Gomes
A combined solution for flexible control of poultry houses. Int. J. Comput. Appl. Technol. 67 (2/3) (2021)
Maroua Bahri, Albert Bifet, João Gama, Heitor Murilo Gomes, Silviu Maniu
Data stream analysis: Foundations, major tasks and tools. WIREs Data Mining Knowl. Discov. 11 (3) (2021)
Vítor Cerqueira, Heitor Murilo Gomes, Albert Bifet, Luís Torgo
STUDD: A Student-Teacher Method for Unsupervised Concept Drift Detection. CoRR (2021)
Jacob Montiel, Max Halford, Saulo Martiello Mastelini, Geoffrey Bolmier, Raphaël Sourty, Robin Vaysse, Adil Zouitine, Heitor Murilo Gomes, Jesse Read, Talel Abdessalem, Albert Bifet
River: machine learning for streaming data in Python. J. Mach. Learn. Res. 22 (2021)
Rajchada Chanajitt, Bernhard Pfahringer, Heitor Murilo Gomes
Combining Static and Dynamic Analysis to Improve Machine Learning-based Malware Classification. DSAA (2021)
Guilherme Weigert Cassales, Heitor Murilo Gomes, Albert Bifet, Bernhard Pfahringer, Hermes Senger
Improving the performance of bagging ensembles for data streams through mini-batching. Inf. Sci. 580 (2021)
Saulo Martiello Mastelini, Jacob Montiel, Heitor Murilo Gomes, Albert Bifet, Bernhard Pfahringer, André C. P. L. F. de Carvalho
Fast and lightweight binary and multi-branch Hoeffding Tree Regressors. ICDM (Workshops) (2021)
Heitor Murilo Gomes, Jesse Read, Albert Bifet, Robert J. Durrant
Learning from evolving data streams through ensembles of random patches. Knowl. Inf. Syst. 63 (7) (2021)
Guilherme Weigert Cassales, Heitor Murilo Gomes, Albert Bifet, Bernhard Pfahringer, Hermes Senger
Improving the performance of bagging ensembles for data streams through mini-batching. CoRR (2021)
Vítor Cerqueira, Heitor Murilo Gomes, Albert Bifet
Unsupervised Concept Drift Detection Using a Student-Teacher Approach. DS (2020)
Maciej Grzenda, Heitor Murilo Gomes, Albert Bifet
Performance measures for evolving predictions under delayed labelling classification. IJCNN (2020)
Jacob Montiel, Max Halford, Saulo Martiello Mastelini, Geoffrey Bolmier, Raphaël Sourty, Robin Vaysse, Adil Zouitine, Heitor Murilo Gomes, Jesse Read, Talel Abdessalem, Albert Bifet
River: machine learning for streaming data in Python. CoRR (2020)
Philippe Fournier-Viger, Ganghuan He, Jerry Chun-Wei Lin, Heitor Murilo Gomes
Mining Attribute Evolution Rules in Dynamic Attributed Graphs. DaWaK (2020)
Maroua Bahri, Heitor Murilo Gomes, Albert Bifet, Silviu Maniu
CS-ARF: Compressed Adaptive Random Forests for Evolving Data Stream Classification. IJCNN (2020)
Fabricio Ceschin, Heitor Murilo Gomes, Marcus Botacin, Albert Bifet, Bernhard Pfahringer, Luiz S. Oliveira, André Grégio
Machine Learning (In) Security: A Stream of Problems. CoRR (2020)
Chaitanya Manapragada, Heitor Murilo Gomes, Mahsa Salehi, Albert Bifet, Geoffrey I. Webb
An Eager Splitting Strategy for Online Decision Trees. CoRR (2020)
Guilherme Weigert Cassales, Heitor Murilo Gomes, Albert Bifet, Bernhard Pfahringer, Hermes Senger
Improving parallel performance of ensemble learners for streaming data through data locality with mini-batching. HPCC/DSS/SmartCity (2020)
Maroua Bahri, Albert Bifet, Silviu Maniu, Heitor Murilo Gomes
Survey on Feature Transformation Techniques for Data Streams. IJCAI (2020)
Alessio Bernardo, Heitor Murilo Gomes, Jacob Montiel, Bernhard Pfahringer, Albert Bifet, Emanuele Della Valle
C-SMOTE: Continuous Synthetic Minority Oversampling for Evolving Data Streams. IEEE BigData (2020)
Heitor Murilo Gomes, Jacob Montiel, Saulo Martiello Mastelini, Bernhard Pfahringer, Albert Bifet
On Ensemble Techniques for Data Stream Regression. IJCNN (2020)
Maciej Grzenda, Heitor Murilo Gomes, Albert Bifet
Delayed labelling evaluation for data streams. Data Min. Knowl. Discov. 34 (5) (2020)
Luis Eduardo Boiko Ferreira, Heitor Murilo Gomes, Albert Bifet, Luiz S. Oliveira
Adaptive Random Forests with Resampling for Imbalanced data Streams. IJCNN (2019)
Heitor Murilo Gomes, Rodrigo Fernandes de Mello, Bernhard Pfahringer, Albert Bifet
Feature Scoring using Tree-Based Ensembles for Evolving Data Streams. IEEE BigData (2019)
Richardson Ribeiro, Dalcimar Casanova, Marcelo Teixeira, André L. Wirth, Heitor Murilo Gomes, André Pinz Borges, Fabrício Enembreck
Generating action plans for poultry management using artificial neural networks. Comput. Electron. Agric. 161 (2019)
Jones Granatyr, Heitor Murilo Gomes, João Miguel Dias, Ana Maria Paiva, Maria Augusta Silveira Netto Nunes, Edson Emílio Scalabrin, Fábio Spak
Inferring Trust Using Personality Aspects Extracted from Texts. SMC (2019)
Heitor Murilo Gomes, Albert Bifet, Jesse Read, Jean Paul Barddal, Fabrício Enembreck, Bernhard Pfahringer, Geoff Holmes, Talel Abdessalem
Correction to: Adaptive random forests for evolving data stream classification. Mach. Learn. 108 (10) (2019)
Jean Paul Barddal, Fabrício Enembreck, Heitor Murilo Gomes, Albert Bifet, Bernhard Pfahringer
Merit-guided dynamic feature selection filter for data streams. Expert Syst. Appl. 116 (2019)
Heitor Murilo Gomes, Jesse Read, Albert Bifet
Streaming Random Patches for Evolving Data Stream Classification. ICDM (2019)
Heitor Murilo Gomes, Jesse Read, Albert Bifet, Jean Paul Barddal, João Gama
Machine learning for streaming data: state of the art, challenges, and opportunities. SIGKDD Explor. 21 (2) (2019)
Jean Paul Barddal, Fabrício Enembreck, Heitor Murilo Gomes, Albert Bifet, Bernhard Pfahringer
Boosting decision stumps for dynamic feature selection on data streams. Inf. Syst. 83 (2019)
Minh-Huong Le Nguyen, Heitor Murilo Gomes, Albert Bifet
Semi-supervised Learning over Streaming Data using MOA. IEEE BigData (2019)
Heitor Murilo Gomes, Albert Bifet, Philippe Fournier-Viger, Jones Granatyr, Jesse Read
Network of Experts: Learning from Evolving Data Streams Through Network-Based Ensembles. ICONIP (1) (2019)
Luis Eduardo Boiko Ferreira, Jean Paul Barddal, Fabrício Enembreck, Heitor Murilo Gomes
An Experimental Perspective on Sampling Methods for Imbalanced Learning From Financial Databases. IJCNN (2018)
Heitor Murilo Gomes, Jean Paul Barddal, Luis Eduardo Boiko Ferreira, Albert Bifet
Adaptive random forests for data stream regression. ESANN (2018)
Luis Eduardo Boiko Ferreira, Jean Paul Barddal, Heitor Murilo Gomes, Fabrício Enembreck
Improving Credit Risk Prediction in Online Peer-to-Peer (P2P) Lending Using Imbalanced Learning Techniques. ICTAI (2017)
Heitor Murilo Gomes, Jean Paul Barddal, Fabrício Enembreck, Albert Bifet
A Survey on Ensemble Learning for Data Stream Classification. ACM Comput. Surv. 50 (2) (2017)
Heitor Murilo Gomes, Albert Bifet, Jesse Read, Jean Paul Barddal, Fabrício Enembreck, Bernhard Pfahringer, Geoff Holmes, Talel Abdessalem
Adaptive random forests for evolving data stream classification. Mach. Learn. 106 (9-10) (2017)
Jean Paul Barddal, Heitor Murilo Gomes, Fabrício Enembreck, Bernhard Pfahringer
A survey on feature drift adaptation: Definition, benchmark, challenges and future directions. J. Syst. Softw. 127 (2017)
Jean Paul Barddal, Heitor Murilo Gomes, Fabrício Enembreck, Jean-Paul A. Barthès
: Extending a high quality true anytime data stream clustering algorithm. Inf. Syst. 62 (2016)
Jean Paul Barddal, Heitor Murilo Gomes, Fabrício Enembreck, Bernhard Pfahringer, Albert Bifet
On Dynamic Feature Weighting for Feature Drifting Data Streams. ECML/PKDD (2) (2016)
Heitor Murilo Gomes
Advances in network-based ensemble classifiers for evolving data streams: student research abstract. SAC (2016)
Jean Paul Barddal, Heitor Murilo Gomes, Alceu de Souza Britto Jr., Fabrício Enembreck
A benchmark of classifiers on feature drifting data streams. ICPR (2016)
Jean Paul Barddal, Heitor Murilo Gomes, Jones Granatyr, Alceu de Souza Britto Jr., Fabrício Enembreck
Overcoming feature drifts via dynamic feature weighted k-nearest neighbor learning. ICPR (2016)
Anderson José de Souza, André Pinz Borges, Heitor Murilo Gomes, Jean Paul Barddal, Fabrício Enembreck
Applying Ensemble-based Online Learning Techniques on Crime Forecasting. ICEIS (1) (2015)
Jean Paul Barddal, Heitor Murilo Gomes, Fabrício Enembreck
Analyzing the Impact of Feature Drifts in Streaming Learning. ICONIP (1) (2015)
Heitor Murilo Gomes, Jean Paul Barddal, Fabrício Enembreck
Pairwise combination of classifiers for ensemble learning on data streams. SAC (2015)
Jean Paul Barddal, Heitor Murilo Gomes, Fabrício Enembreck
SNCStream: a social network-based data stream clustering algorithm. SAC (2015)
Jean Paul Barddal, Heitor Murilo Gomes, Fabrício Enembreck
Advances on Concept Drift Detection in Regression Tasks Using Social Networks Theory. Int. J. Nat. Comput. Res. 5 (1) (2015)
Heitor Murilo Gomes, Deborah Ribeiro de Carvalho, Lourdes Zubieta, Jean Paul Barddal, Andreia Malucelli
On the Discovery of Time Distance Constrained Temporal Association Rules. ICONIP (2) (2015)
Jean Paul Barddal, Heitor Murilo Gomes, Fabrício Enembreck
A Complex Network-Based Anytime Data Stream Clustering Algorithm. ICONIP (1) (2015)
Jean Paul Barddal, Heitor Murilo Gomes, Fabrício Enembreck
A Survey on Feature Drift Adaptation. ICTAI (2015)
Heitor Murilo Gomes, Fabrício Enembreck
SAE2: advances on the social adaptive ensemble classifier for data streams. SAC (2014)
Jean Paul Barddal, Heitor Murilo Gomes, Fabrício Enembreck
SFNClassifier: a scale-free social network method to handle concept drift. SAC (2014)
Heitor Murilo Gomes, Fabrício Enembreck
SAE: Social Adaptive Ensemble classifier for data streams. CIDM (2013)