Combining Methods to Stabilize and Increase Performance of Neural Network-Based Classifiers. - Fabricio A. Breve; Moacir P. Ponti Jr.; Nelson D. A. Mascarenhas (SIBGRAPI, 2005)

Visual Selection and Shifting Mechanisms Based on a Network of Chaotic Wilson-Cowan Oscillators. - Liang Zhao 001; Fabricio A. Breve; Marcos G. Quiles; Roseli A. F. Romero (ICNC (5), 2007)

A Visual Selection Mechanism Based on Network of Chaotic Wilson-Cowan Oscillators. - Marcos G. Quiles; Fabricio A. Breve; Liang Zhao 001; Roseli A. Francelin Romero (ISDA, 2007)

Multilayer Perceptron Classifier Combination for Identification of Materials on Noisy Soil Science Multispectral Images. - Fabricio A. Breve; Moacir P. Ponti Jr.; Nelson D. A. Mascarenhas (SIBGRAPI, 2007)

Visual Selection with Feature Contrast-Based Inhibition in a Network of Integrate and Fire Neurons. - Marcos G. Quiles; Fabricio A. Breve; Roseli A. F. Romero; Liang Zhao 001 (ICNC (3), 2008)

Chaotic synchronization in 2D lattice for scene segmentation. - Liang Zhao 001; Fabricio Aparecido Breve (Neurocomputing, 2008)

Uncovering Overlap Community Structure in Complex Networks Using Particle Competition. - Fabricio A. Breve; Liang Zhao 001; Marcos G. Quiles (AICI, 2009)

Particle Competition in Complex Networks for Semi-supervised Classification. - Fabricio A. Breve; Liang Zhao 001; Marcos G. Quiles (Complex (1), 2009)

Chaotic phase synchronization for visual selection. - Fabricio A. Breve; Liang Zhao 001; Marcos G. Quiles; Elbert E. N. Macau (IJCNN, 2009)

A network of integrate and fire neurons for visual selection. - Marcos G. Quiles; Liang Zhao 001; Fabricio A. Breve; Roseli A. Francelin Romero (Neurocomputing, 2009)

Chaotic phase synchronization and desynchronization in an oscillator network for object selection. - Fabricio A. Breve; Liang Zhao 001; Marcos G. Quiles; Elbert E. N. Macau (Neural Networks, 2009)

Semi-supervised learning from imperfect data through particle cooperation and competition. - Fabricio A. Breve; Liang Zhao 001; Marcos G. Quiles (IJCNN, 2010)

Label propagation through neuronal synchrony. - Marcos G. Quiles; Liang Zhao 001; Fabricio A. Breve; Anderson Rocha 001 (IJCNN, 2010)

Machine learning in complex networks. - Fabricio Aparecido Breve (2010)

Particle Competition and Cooperation for Uncovering Network Overlap Community Structure. - Fabricio A. Breve; Liang Zhao 001; Marcos G. Quiles; Witold Pedrycz; Jiming Liu 001 (ISNN (3), 2011)

Particle competition and cooperation in networks for semi-supervised learning with concept drift. - Fabricio A. Breve; Liang Zhao 001 (IJCNN, 2012)

Particle Competition and Cooperation to Prevent Error Propagation from Mislabeled Data in Semi-supervised Learning. - Fabricio A. Breve; Liang Zhao 001 (SBRN, 2012)

Particle Competition and Cooperation in Networks for Semi-Supervised Learning. - Fabricio A. Breve; Liang Zhao 001; Marcos G. Quiles; Witold Pedrycz; Jiming Liu 001 (IEEE Trans. Knowl. Data Eng., 2012)

Active semi-supervised learning using particle competition and cooperation in networks. - Fabricio A. Breve (IJCNN, 2013)

Fuzzy community structure detection by particle competition and cooperation. - Fabricio A. Breve; Liang Zhao 001 (Soft Comput., 2013)

Interactive Image Segmentation of Non-contiguous Classes Using Particle Competition and Cooperation. - Fabricio A. Breve; Marcos G. Quiles; Liang Zhao 001 (ICCSA (1), 2015)

#Worldcup2014 on Twitter. - Wilson Seron; Ezequiel Roberto Zorzal; Marcos G. Quiles; Márcio P. Basgalupp; Fabricio A. Breve (ICCSA (1), 2015)

Interactive image segmentation using particle competition and cooperation. - Fabricio A. Breve; Marcos Gonçalves Quiles; Liang Zhao 001 (IJCNN, 2015)

Particle competition and cooperation for semi-supervised learning with label noise. - Fabricio A. Breve; Liang Zhao 001; Marcos G. Quiles (Neurocomputing, 2015)

Active Consensus-Based Semi-supervised Growing Neural Gas. - Vinícius R. Máximo; Mariá C. V. Nascimento; Fabricio A. Breve; Marcos G. Quiles (ICONIP (2), 2016)

Combined unsupervised and semi-supervised learning for data classification. - Fabricio Aparecido Breve; Daniel Carlos Guimarães Pedronette (MLSP, 2016)

Building Networks for Image Segmentation Using Particle Competition and Cooperation. - Fabricio A. Breve (ICCSA (1), 2017)

Analyzing and Inferring Distance Metrics on the Particle Competition and Cooperation Algorithm. - Lucas Guerreiro; Fabricio A. Breve (ICCSA (6), 2017)

Manifold Correlation Graph for Semi-Supervised Learning. - Lucas Pascotti Valem; Daniel Carlos Guimarães Pedronette; Fabricio Aparecido Breve; Ivan Rizzo Guilherme (IJCNN, 2018)

Interactive image segmentation using label propagation through complex networks. - Fabricio A. Breve (Expert Syst. Appl., 2019)

Fine-Tuning Temperatures in Restricted Boltzmann Machines Using Meta-Heuristic Optimization. - Mateus Roder; Gustavo Henrique de Rosa; João Paulo Papa; Fabricio Aparecido Breve (CEC, 2020)

Complex Network Construction for Interactive Image Segmentation Using Particle Competition and Cooperation: A New Approach. - Jefferson Antonio Ribeiro Passerini; Fabricio A. Breve (ICCSA (1), 2020)

Synchronization Analysis in Models of Coupled Oscillators. - Guilherme Toso; Fabricio A. Breve (ICCSA (1), 2020)

Visually Impaired Aid using Convolutional Neural Networks, Transfer Learning, and Particle Competition and Cooperation. - Fabricio A. Breve; Carlos N. Fischer (IJCNN, 2020)

Segmentação de imagens utilizando competição e cooperação entre partículas. - Bárbara Ribeiro da Silva; Fabricio Aparecido Breve (CoRR, 2020)

Simple Interactive Image Segmentation using Label Propagation through kNN graphs. - Fabricio Aparecido Breve (CoRR, 2020)

Model-agnostic interpretation by visualization of feature perturbations. - Wilson Estécio Marcílio-Jr; Danilo Medeiros Eler; Fabricio A. Breve (CoRR, 2021)

On tuning a mean-field model for semi-supervised classification. - Emílio Bergamim; Fabricio A. Breve (CoRR, 2022)

COVID-19 detection on Chest X-ray images: A comparison of CNN architectures and ensembles. - Fabricio Aparecido Breve (Expert Syst. Appl., 2022)

Convolutional Neural Networks and Ensembles for Visually Impaired Aid. - Fabricio A. Breve (ICCSA (1), 2023)

Artificial Bee Colony Algorithm for Feature Selection in Fraud Detection Process. - Gabriel C. Furlanetto; Vitoria Zanon Gomes; Fabricio Aparecido Breve (ICCSA (1), 2023)

Semi-supervised Time Series Classification Through Image Representations. - Bionda Rozin; Emílio Bergamim; Daniel Carlos Guimarães Pedronette; Fabricio Aparecido Breve (ICCSA (2), 2023)

Model-Agnostic Interpretation via Feature Perturbation Visualization. - Wilson Estécio Marcílio Júnior; Danilo Medeiros Eler; Fabricio A. Breve (SIBGRAPI, 2023)

Classification of Strawberry Maturity Level from Images Using Supervised Classifiers and Convolutional Neural Networks as Feature Extractors. - Érika Kayoko Hamaguti; Fabricio Aparecido Breve (ICCSA (3), 2025)

Graph Convolutional Networks and Particle Competition and Cooperation for Semi-Supervised Learning. - Gustavo Rosseto Leticio; Matheus Henrique Jacob dos Santos; Lucas Pascotti Valem; Vinicius Atsushi Sato Kawai; Fabricio Aparecido Breve; Daniel Carlos Guimarães Pedronette (VISIGRAPP (2): VISAPP, 2025)

From Pixels to Titles: Video Game Identification by Screenshots Using Convolutional Neural Networks. - Fabricio A. Breve (IEEE Trans. Games, 2025)