Heitor Murilo Gomes

106 papers A* 8A 3B 18C 1Misc 7Journal 49Unranked 20
YearRankTypeTitle / Venue / Authors
2026 J jnl
SLEADE: Disagreement-Based Semi-Supervised Learning for Sparsely Labeled Evolving Data Streams.
IEEE Trans. Knowl. Data Eng.
Heitor Murilo Gomes, Jesse Read, Maciej Grzenda, Bernhard Pfahringer, Albert Bifet
2025 J jnl
A Semi-Supervised Active Learning Neural Network for Data Streams With Concept Drift.
IEEE Comput. Intell. Mag.
Botao Jiao, Heitor Murilo Gomes, Bing Xue, Yinan Guo, Mengjie Zhang
2025 J jnl
CLOFAI: A Dataset of Real And Fake Image Classification Tasks for Continual Learning.
CoRR
William Doherty, Anton Lee, Heitor Murilo Gomes
2025 J jnl
CapyMOA: Efficient Machine Learning for Data Streams in Python.
CoRR
Heitor Murilo Gomes, Anton Lee, Nuwan Gunasekara, Yibin Sun, Guilherme Weigert Cassales, Justin Liu, Marco Heyden, Vítor Cerqueira, Maroua Bahri, Yun Sing Koh, Bernhard Pfahringer, Albert Bifet
2025 J jnl
Detecting Domain Shifts in Myoelectric Activations: Challenges and Opportunities in Stream Learning.
CoRR
Yibin Sun, Nick Jin Sean Lim, Guilherme Weigert Cassales, Heitor Murilo Gomes, Bernhard Pfahringer, Albert Bifet, Anany Dwivedi
2025 B conf
Drift-Aware Machine Learning for Operational State Classification in Biogas Dry Reforming.
SMC
Marcos A. Schreiner, Renan Akira Escribano, Heitor Murilo Gomes, Paulo R. L. de Almeida, Luiz E. S. Oliveira
2025 A conf
Dynamic Ensemble Member Selection for Data Stream Classification.
CIKM
Yibin Sun, Bernhard Pfahringer, Heitor Murilo Gomes, Albert Bifet
2025 — conf
Edge Machine Learning for Solar Power Forecasting.
FiCloud
Guilherme Weigert Cassales, Ioan Petri, Heitor Murilo Gomes, Omer F. Rana, Albert Bifet
2025 J jnl
Evaluation for Regression Analyses on Evolving Data Streams.
CoRR
Yibin Sun, Heitor Murilo Gomes, Bernhard Pfahringer, Albert Bifet
2025 J jnl
Gradient boosted bagging for evolving data stream regression.
Data Min. Knowl. Discov.
Nuwan Gunasekara, Bernhard Pfahringer, Heitor Murilo Gomes, Albert Bifet
2025 A* conf
Kolmogorov-Arnold Networks Still Catastrophically Forget but Differently from MLP.
AAAI
Anton Lee, Heitor Murilo Gomes, Yaqian Zhang, W. Bastiaan Kleijn
2025 J jnl
Linear adaptive filtering for regression in data streams.
Int. J. Data Sci. Anal.
Jorge Igual, Heitor Murilo Gomes, Bernhard Pfahringer, Albert Bifet
2025 — conf
Machine Learning for Data Streams with CapyMOA.
ECML/PKDD (10)
Yibin Sun, Heitor Murilo Gomes, Anton Lee, Nuwan Gunasekara, Guilherme Weigert Cassales, Justin Liu, Marco Heyden, Vítor Cerqueira, Maroua Bahri, Yun Sing Koh, Bernhard Pfahringer, Albert Bifet
2025 A* conf
Machine Learning on the Fly: A Hands-On Tutorial for Streaming Data.
ICDE
Heitor Murilo Gomes, Nuwan Gunasekara, Yibin Sun
2025 J jnl
RMIDDM: an unsupervised and interpretable concept drift detection method for data streams.
Data Min. Knowl. Discov.
Ruivaldo Lobão-Neto, Brenno de Mello Alencar, Heitor Murilo Gomes, Albert Bifet, João Gama, Guilherme Weigert Cassales, Ricardo Araújo Rios
2025 — conf
Towards Explainable Drift Detection and Early Retrain in ML-Based Malware Detection Pipelines.
DIMVA (2)
Jayesh Tripathi, Heitor Murilo Gomes, Marcus Botacin
2025 J jnl
Towards more realistic evaluations: The impact of label delays in malware detection pipelines.
Comput. Secur.
Marcus Botacin, Heitor Murilo Gomes
2024 — conf
Adaptive Prediction Interval for Data Stream Regression.
PAKDD (3)
Yibin Sun, Bernhard Pfahringer, Heitor Murilo Gomes, Albert Bifet
2024 A conf
Cross-Regional Malware Detection via Model Distilling and Federated Learning.
RAID
Marcus Botacin, Heitor Murilo Gomes
2024 J jnl
Gradient boosted trees for evolving data streams.
Mach. Learn.
Nuwan Gunasekara, Bernhard Pfahringer, Heitor Murilo Gomes, Albert Bifet
2024 — conf
Leveraging Plasticity in Incremental Decision Trees.
ECML/PKDD (5)
Marco Heyden, Heitor Murilo Gomes, Edouard Fouché, Bernhard Pfahringer, Klemens Böhm
2024 J jnl
Machine Learning (In) Security: A Stream of Problems.
DTRAP
Fabrício Ceschin, Marcus Botacin, Albert Bifet, Bernhard Pfahringer, Luiz S. Oliveira, Heitor Murilo Gomes, André Grégio
2024 — conf
Mini-batching with Fused Training and Testing for Data Streams Processing on the Edge.
CF
Reginaldo Luna, Guilherme Weigert Cassales, Bernhard Pfahringer, Albert Bifet, Heitor Murilo Gomes, Hermes Senger
2024 A* conf
Practical Machine Learning for Streaming Data.
KDD
Heitor Murilo Gomes, Albert Bifet
2024 — conf
Real-Time Energy Pricing in New Zealand: An Evolving Stream Analysis.
PRICAI (5)
Yibin Sun, Heitor Murilo Gomes, Bernhard Pfahringer, Albert Bifet
2024 J jnl
Real-Time Energy Pricing in New Zealand: An Evolving Stream Analysis.
CoRR
Yibin Sun, Heitor Murilo Gomes, Bernhard Pfahringer, Albert Bifet
2024 A* conf
Recurrent Concept Drifts on Data Streams.
IJCAI
Nuwan Gunasekara, Bernhard Pfahringer, Heitor Murilo Gomes, Albert Bifet, Yun Sing Koh
2024 J jnl
SeGDroid: An Android malware detection method based on sensitive function call graph learning.
Expert Syst. Appl.
Zhen Liu, Ruoyu Wang, Nathalie Japkowicz, Heitor Murilo Gomes, Bitao Peng, Wenbin Zhang
2024 A* conf
Time-Evolving Data Science and Artificial Intelligence for Advanced Open Environmental Science (TAIAO) Programme.
IJCAI
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
2023 J jnl
A Survey on Semi-supervised Learning for Delayed Partially Labelled Data Streams.
ACM Comput. Surv.
Heitor Murilo Gomes, Maciej Grzenda, Rodrigo Fernandes de Mello, Jesse Read, Minh-Huong Le Nguyen, Albert Bifet
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
Balancing Performance and Energy Consumption of Bagging Ensembles for the Classification of Data Streams in Edge Computing.
IEEE Trans. Netw. Serv. Manag.
Guilherme Weigert Cassales, Heitor Murilo Gomes, Albert Bifet, Bernhard Pfahringer, Hermes Senger
2023 J jnl
Fast & Furious: On the modelling of malware detection as an evolving data stream.
Expert Syst. Appl.
Fabrício Ceschin, Marcus Botacin, Heitor Murilo Gomes, Felipe Azevedo Pinage, Luiz S. Oliveira, André Grégio
2023 A conf
Look At Me, No Replay! SurpriseNet: Anomaly Detection Inspired Class Incremental Learning.
CIKM
Anton Lee, Yaqian Zhang, Heitor Murilo Gomes, Albert Bifet, Bernhard Pfahringer
2023 J jnl
Look At Me, No Replay! SurpriseNet: Anomaly Detection Inspired Class Incremental Learning.
CoRR
Anton Lee, Yaqian Zhang, Heitor Murilo Gomes, Albert Bifet, Bernhard Pfahringer
2023 J jnl
STUDD: a student-teacher method for unsupervised concept drift detection.
Mach. Learn.
Vítor Cerqueira, Heitor Murilo Gomes, Albert Bifet, Luís Torgo
2023 A* conf
Survey on Online Streaming Continual Learning.
IJCAI
Nuwan Gunasekara, Bernhard Pfahringer, Heitor Murilo Gomes, Albert Bifet
2022 — conf
A Comparison of Neural Network Architectures for Malware Classification Based on Noriben Operation Sequences.
ICANN (1)
Rajchada Chanajitt, Bernhard Pfahringer, Heitor Murilo Gomes
2022 J jnl
A Hybrid Sampling Approach for Imbalanced Binary and Multi-Class Data Using Clustering Analysis.
IEEE Access
Abdul Sattar Palli, Jafreezal Jaafar, Manzoor Ahmed Hashmani, Heitor Murilo Gomes, Abdul Rehman Gilal
2022 B conf
Adaptive Neural Networks for Online Domain Incremental Continual Learning.
DS
Nuwan Gunasekara, Heitor Murilo Gomes, Albert Bifet, Bernhard Pfahringer
2022 — conf
Adaptive Online Domain Incremental Continual Learning.
ICANN (1)
Nuwan Gunasekara, Heitor Murilo Gomes, Albert Bifet, Bernhard Pfahringer
2022 J jnl
An eager splitting strategy for online decision trees in ensembles.
Data Min. Knowl. Discov.
Chaitanya Manapragada, Heitor Murilo Gomes, Mahsa Salehi, Albert Bifet, Geoffrey I. Webb
2022 J jnl
Balancing Performance and Energy Consumption of Bagging Ensembles for the Classification of Data Streams in Edge Computing.
CoRR
Guilherme Weigert Cassales, Heitor Murilo Gomes, Albert Bifet, Bernhard Pfahringer, Hermes Senger
2022 B conf
Balancing the Stability-Plasticity Dilemma with Online Stability Tuning for Continual Learning.
IJCNN
Anton Lee, Heitor Murilo Gomes, Yaqian Zhang
2022 Misc ed.
Data Mining - 20th Australasian Conference, AusDM 2022, Western Sydney, Australia, December 12-15, 2022, Proceedings
AusDM
Laurence A. F. Park, Heitor Murilo Gomes, Maryam Doborjeh, Yee Ling Boo, Yun Sing Koh, Yanchang Zhao, Graham J. Williams, Simeon Simoff
2022 J jnl
Fast & Furious: Modelling Malware Detection as Evolving Data Streams.
CoRR
Fabrício Ceschin, Marcus Botacin, Heitor Murilo Gomes, Felipe Azevedo Pinage, Luiz S. Oliveira, André Grégio
2022 J jnl
LP-ROBIN: Link prediction in dynamic networks exploiting incremental node embedding.
Inf. Sci.
Emanuele Pio Barracchia, Gianvito Pio, Albert Bifet, Heitor Murilo Gomes, Bernhard Pfahringer, Michelangelo Ceci
2022 Misc conf
Multiclass Malware Classification Using Either Static Opcodes or Dynamic API Calls.
AI
Rajchada Chanajitt, Bernhard Pfahringer, Heitor Murilo Gomes, Vithya Yogarajan
2022 B conf
Online Hyperparameter Optimization for Streaming Neural Networks.
IJCNN
Nuwan Gunasekara, Heitor Murilo Gomes, Bernhard Pfahringer, Albert Bifet
2022 J jnl
Resource-Aware Edge-Based Stream Analytics.
IEEE Internet Comput.
Ioan Petri, Ioan Chirila, Heitor Murilo Gomes, Albert Bifet, Omer F. Rana
2022 J jnl
SOKNL: A novel way of integrating K-nearest neighbours with adaptive random forest regression for data streams.
Data Min. Knowl. Discov.
Yibin Sun, Bernhard Pfahringer, Heitor Murilo Gomes, Albert Bifet
2021 J jnl
A Survey on Semi-Supervised Learning for Delayed Partially Labelled Data Streams.
CoRR
Heitor Murilo Gomes, Maciej Grzenda, Rodrigo Fernandes de Mello, Jesse Read, Minh-Huong Le Nguyen, Albert Bifet
2021 J jnl
A combined solution for flexible control of poultry houses.
Int. J. Comput. Appl. Technol.
Lucas Schmidt, Dalcimar Casanova, Richardson Ribeiro, Marcelo Teixeira, Heitor Murilo Gomes
2021 B conf
Combining Static and Dynamic Analysis to Improve Machine Learning-based Malware Classification.
DSAA
Rajchada Chanajitt, Bernhard Pfahringer, Heitor Murilo Gomes
2021 J jnl
Data stream analysis: Foundations, major tasks and tools.
WIREs Data Mining Knowl. Discov.
Maroua Bahri, Albert Bifet, João Gama, Heitor Murilo Gomes, Silviu Maniu
2021 — conf
Fast and lightweight binary and multi-branch Hoeffding Tree Regressors.
ICDM (Workshops)
Saulo Martiello Mastelini, Jacob Montiel, Heitor Murilo Gomes, Albert Bifet, Bernhard Pfahringer, André C. P. L. F. de Carvalho
2021 J jnl
Improving the performance of bagging ensembles for data streams through mini-batching.
CoRR
Guilherme Weigert Cassales, Heitor Murilo Gomes, Albert Bifet, Bernhard Pfahringer, Hermes Senger
2021 J jnl
Improving the performance of bagging ensembles for data streams through mini-batching.
Inf. Sci.
Guilherme Weigert Cassales, Heitor Murilo Gomes, Albert Bifet, Bernhard Pfahringer, Hermes Senger
2021 J jnl
Learning from evolving data streams through ensembles of random patches.
Knowl. Inf. Syst.
Heitor Murilo Gomes, Jesse Read, Albert Bifet, Robert J. Durrant
2021 J jnl
River: machine learning for streaming data in Python.
J. Mach. Learn. Res.
Jacob Montiel, Max Halford, Saulo Martiello Mastelini, Geoffrey Bolmier, Raphaël Sourty, Robin Vaysse, Adil Zouitine, Heitor Murilo Gomes, Jesse Read, Talel Abdessalem, Albert Bifet
2021 J jnl
STUDD: A Student-Teacher Method for Unsupervised Concept Drift Detection.
CoRR
Vítor Cerqueira, Heitor Murilo Gomes, Albert Bifet, Luís Torgo
2020 J jnl
An Eager Splitting Strategy for Online Decision Trees.
CoRR
Chaitanya Manapragada, Heitor Murilo Gomes, Mahsa Salehi, Albert Bifet, Geoffrey I. Webb
2020 — conf
C-SMOTE: Continuous Synthetic Minority Oversampling for Evolving Data Streams.
IEEE BigData
Alessio Bernardo, Heitor Murilo Gomes, Jacob Montiel, Bernhard Pfahringer, Albert Bifet, Emanuele Della Valle
2020 B conf
CS-ARF: Compressed Adaptive Random Forests for Evolving Data Stream Classification.
IJCNN
Maroua Bahri, Heitor Murilo Gomes, Albert Bifet, Silviu Maniu
2020 J jnl
Delayed labelling evaluation for data streams.
Data Min. Knowl. Discov.
Maciej Grzenda, Heitor Murilo Gomes, Albert Bifet
2020 — conf
Improving parallel performance of ensemble learners for streaming data through data locality with mini-batching.
HPCC/DSS/SmartCity
Guilherme Weigert Cassales, Heitor Murilo Gomes, Albert Bifet, Bernhard Pfahringer, Hermes Senger
2020 J jnl
Machine Learning (In) Security: A Stream of Problems.
CoRR
Fabricio Ceschin, Heitor Murilo Gomes, Marcus Botacin, Albert Bifet, Bernhard Pfahringer, Luiz S. Oliveira, André Grégio
2020 B conf
Mining Attribute Evolution Rules in Dynamic Attributed Graphs.
DaWaK
Philippe Fournier-Viger, Ganghuan He, Jerry Chun-Wei Lin, Heitor Murilo Gomes
2020 B conf
On Ensemble Techniques for Data Stream Regression.
IJCNN
Heitor Murilo Gomes, Jacob Montiel, Saulo Martiello Mastelini, Bernhard Pfahringer, Albert Bifet
2020 B conf
Performance measures for evolving predictions under delayed labelling classification.
IJCNN
Maciej Grzenda, Heitor Murilo Gomes, Albert Bifet
2020 J jnl
River: machine learning for streaming data in Python.
CoRR
Jacob Montiel, Max Halford, Saulo Martiello Mastelini, Geoffrey Bolmier, Raphaël Sourty, Robin Vaysse, Adil Zouitine, Heitor Murilo Gomes, Jesse Read, Talel Abdessalem, Albert Bifet
2020 A* conf
Survey on Feature Transformation Techniques for Data Streams.
IJCAI
Maroua Bahri, Albert Bifet, Silviu Maniu, Heitor Murilo Gomes
2020 B conf
Unsupervised Concept Drift Detection Using a Student-Teacher Approach.
DS
Vítor Cerqueira, Heitor Murilo Gomes, Albert Bifet
2019 B conf
Adaptive Random Forests with Resampling for Imbalanced data Streams.
IJCNN
Luis Eduardo Boiko Ferreira, Heitor Murilo Gomes, Albert Bifet, Luiz S. Oliveira
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 — conf
Feature Scoring using Tree-Based Ensembles for Evolving Data Streams.
IEEE BigData
Heitor Murilo Gomes, Rodrigo Fernandes de Mello, Bernhard Pfahringer, Albert Bifet
2019 J jnl
Generating action plans for poultry management using artificial neural networks.
Comput. Electron. Agric.
Richardson Ribeiro, Dalcimar Casanova, Marcelo Teixeira, André L. Wirth, Heitor Murilo Gomes, André Pinz Borges, Fabrício Enembreck
2019 B conf
Inferring Trust Using Personality Aspects Extracted from Texts.
SMC
Jones Granatyr, Heitor Murilo Gomes, João Miguel Dias, Ana Maria Paiva, Maria Augusta Silveira Netto Nunes, Edson Emílio Scalabrin, Fábio Spak
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 — conf
Network of Experts: Learning from Evolving Data Streams Through Network-Based Ensembles.
ICONIP (1)
Heitor Murilo Gomes, Albert Bifet, Philippe Fournier-Viger, Jones Granatyr, Jesse Read
2019 — conf
Semi-supervised Learning over Streaming Data using MOA.
IEEE BigData
Minh-Huong Le Nguyen, Heitor Murilo Gomes, Albert Bifet
2019 A* conf
Streaming Random Patches for Evolving Data Stream Classification.
ICDM
Heitor Murilo Gomes, Jesse Read, Albert Bifet
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
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 Misc conf
Advances in network-based ensemble classifiers for evolving data streams: student research abstract.
SAC
Heitor Murilo Gomes
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
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
SAE2: advances on the social adaptive ensemble classifier for data streams.
SAC
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
2013 C conf
SAE: Social Adaptive Ensemble classifier for data streams.
CIDM
Heitor Murilo Gomes, Fabrício Enembreck