Publications

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44.Synthetic data generation for digital twins: enabling production systems analysis in the absence of data

PV Lopes, L Silveira, RDG Aquino, CH Ribeiro, A Skoogh, FAN Verri, International Journal of Computer Integrated Manufacturing (preprint), 2024.

[PDF] [Bib] [DOI]


43.SiaN-VO: Siamese Network for Visual Odometry

BS Faiçal, CAC Marcondes, FAN Verri, Sensors 24.3, 973, 2024.

[PDF] [Bib] [DOI]


42.CNN classification subject to practical aspects of Search and Rescue UAV missions

RDG Aquino, JB Barreto, ADN Rodrigues, FAN Verri, CHQ Forster, IEEE Latin American Conference on Computational Intelligence (LA-CCI), Rio Grande, Brazil, 2023.

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41.A Clustering Validation Index Based on Semantic Description

RDG Aquino, VV Curtis, FAN Verri, 12th Brazilian Conference on Intelligent Systems (BRACIS), Belo Horizonte, Brazil, 2023.

[Bib] [DOI]


40.Utilizing Process Mining and What If Scenarios to Enhance and Optimize Production in a Drone Factory

AM Neto, PV Lopes, FAN Verri, PPAP Silva, Simpósio Brasileiro de Pesquisa Operacional (SBPO), São José dos Campos, Brazil, 2023.


39.Expressive and semantic description of human capital diversity: a machine learning approach

RDG Aquino, VV Curtis, FAN Verri, Simpósio Brasileiro de Pesquisa Operacional (SBPO), São José dos Campos, Brazil, 2023.


38.Artificial Data Generation of Complex Manufacturing Systems in Industry 4.0: Fulfilling Data Scarcity With a Generalizable Notation

PPAP Silva, FAN Verri, PV Lopes, Simpósio Brasileiro de Pesquisa Operacional (SBPO), São José dos Campos, Brazil, 2023.


37.Desenvolvimento e análise de um modelo de simulação de uma fábrica de drones

LC Pires, PV Lopes, FAN Verri, Simpósio Brasileiro de Pesquisa Operacional (SBPO), São José dos Campos, Brazil, 2023.


36.SAUCY SPICE: uma nova abordagem eficiente para a detecção de malwares baseada em assinatura

LG Chahud, JP Favoretti, R Rocha, N Sangy Jr., FAN Verri, I Drago, LA Pereira Jr, XXIII Simpósio Brasileiro em Segurança da Informação e de Sistemas Computacionais (SBSeg), Juiz de Fora, Brazil, 2023.

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35.A Cyber-Physical System's Roadmap to Last-Mile Delivery Drones

BS Faiçal, CAC Marcondes, DS Loubach, EF Sbruzzi, FAN Verri, JC Marques, LA Pereira Jr, MROA Máximo, VV Curtis, IEEE Aerospace and Electronic Systems Magazine, 38.5, 6-16, 2023.

[PDF] [Bib] [DOI]


34.A-Star Based Algorithm Applied to Target Search and Rescue by a UAV Swarm

GTT Bernardo, LMB Vogás, SDS Rodrigues, TGG Lopes, CAC Marcondes, DS Loubach, EF Sbruzzi, FAN Verri, JC Marques, LA Pereira Jr, MROA Máximo, VV Curtis, Latin American Robotics Symposium (LARS), São Bernardo dos Campos, Brazil, 2022.

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33.Semi-Supervised Learning for Intelligent Surveillance

GC Freitas, MROA Máximo, FAN Verri, Latin American Robotics Symposium (LARS), São Bernardo dos Campos, Brazil, 2022.

[Bib] [DOI]


32.Navigation Aids Based on Optical Flow and Convolutional Neural Network

L Silveira, M Rodrigues, BS Faiçal, ASQ Silva, CAC Marcondes, MROA Máximo, FAN Verri, Latin American Robotics Symposium (LARS), São Bernardo dos Campos, Brazil, 2022.

[Bib] [DOI]


31.A Network Modeling and Analysis of COVID-19 Hospital Patient Data

FL Lopes, RL Inocêncio Júnior, VCN Faria, FAN Verri, AC Lorena, International Joint conference on Industrial Engineering and Operations Management (IJCIEOM), Mexico City, Mexico, 2022.

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30.Maximum Visibility: A Novel Approach for Time Series Forecasting Based on Complex Network Theory

FRS Moreira, FAN Verri, T Yoneyama, IEEE Access 10, 8960-8973, 2022.

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29.A estratégia intraday vale a pena? Um estudo de caso usando aprendizado de máquina

L Abuabara, FAN Verri, FACEF Pesquisa, Desenvolvimento e Gestão 24.3, 282-295, 2021.

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28.Use of machine learning techniques for predicting the bearing capacity of piles

YF Gomes, FAN Verri, DB Ribeiro, Soils and Rocks 44(4), 2021.

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27.Bridging the gap to real-world for network intrusion detection systems with data-centric approach

GC Bertoli, LA Pereira Jr, FAN Verri, AL Santos, O Saotome, Advances in Neural Information Processing Systems 34 (NeurIPS 2021), 2021.

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26.Autonomous and Collective Intelligence for UAV Swarm in Target Search Scenario

L Giacomossi, F Souza, RG Cortes, HMM Cortez, C Ferreira, CAC Marcondes, DS Loubach, EF Sbruzzi, FAN Verri, JC Marques, LA Pereira Jr, MROA Máximo, VV Curtis, Latin American Robotics Symposium (LARS), Natal, Brazil, 2021.

[DOI]


25. “Detecção de Drones Intrusos”

LF Pimentel, LC Giacomossi Jr, JC Matos, VV Curtis, FAN Verri, XXIII Simpósio de Aplicações Operacionais em Áreas de Defesa (SIGE), São José dos Campos, Brazil, 2021.

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24.An End-to-End Framework for Machine Learning-Based Network Intrusion Detection System

GC Bertoli, LA Pereira Jr, O Saotome, AL Santos, FAN Verri, CAC Marcondes, S Barbieri, MS Rodrigues, JMP Oliveira, IEEE Access 9, 106790-106805, 2021.

[PDF] [Bib] [Code] [IP] [DOI]


23.Network community detection via iterative edge removal in a flocking-like system

FAN Verri, RA Gueleri, Q Zheng, J Zhang, L Zhao, The European Physical Journal Special Topics 230, 2843–2855, 2021.

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22.A Roadmap to Nextgen Aircraft Control for Last Mile Delivery Drones

CAC Marcondes, DS Loubach, EF Sbruzzi, FAN Verri, JC Marques, LA Pereira Jr, MROA Máximo, VV Curtis, TechRxiv (preprint), 2021.

[PDF] [Published] [DOI]


21.Platoon grouping network offloading mechanism for VANETs

RN Kamoi, LA Pereira Jr, FAN Verri, CAC Marcondes, CHG Ferreira, RI Meneguette, AM Cunha, IEEE Access 9, 53936-53951, 2021.

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20.An Analysis on Tradable Permit Models for Last-Mile Delivery Drones

FAN Verri, CAC Marcondes, DS Loubach, EF Sbruzzi, JC Marques, LA Pereira Jr, MROA Máximo, VV Curtis, IEEE Access 8, 186279-186290, 2020.

[PDF] [Bib] [Data] [Video] [DOI]


19.Semi-supervised Sentiment Analysis of Portuguese Tweets with Random Walk in Feature Sample Networks

Pedro Gengo, FAN Verri, 9th Brazilian Conference on Intelligent Systems (BRACIS), Rio Grande, Brazil, 2020.

[PDF] [Bib] [Video] [DOI]


18.Spending Segmentation and Outlier Detection in Brazilian Elections

LGC Simões, FAN Verri, T Yoneyama, Symposium on Knowledge Discovery, Mining and Learning (KDMiLe), Rio Grande, Brazil, 2020.

[PDF] [Bib] [DOI]


17.Abordagem fim-a-fim para uso de aprendizado de máquina em IDS - Caso de detecção stateless para TCP Scan

GC Bertoli, LA Pereira Jr, AL Santos, FAN Verri, CAC Marcondes, O Saotome, XX Simpósio Brasileiro em Segurança da Informação e de Sistemas Computacionais (SBSeg), Rio de Janeiro, Brazil, 2020.

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16.Probing Dataset (Version 1.0.0)

GC Bertoli, LA Pereira Jr, FAN Verri, O Saotome, Zenodo (dataset), 2019.

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15.Enhancement on the Labeled Component Unfolding System for Parallel Implementations

LFAO Pellicer, FAN Verri, VV Curtis, 8th Brazilian Conference on Intelligent Systems (BRACIS), Salvador, Brazil, 2019.

[PDF] [Bib] [DOI]


14.Particle Competition for Multilayer Network Community Detection

X Gao, Q Zheng, FAN Verri, RD Rodrigues, L Zhao, 11th International Conference on Machine Learning and Computing (ICMLC), Zhuhai, China, 2019.

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13.Advantages of Edge-Centric Collective Dynamics in Machine Learning Tasks

FAN Verri, PR Urio, L Zhao, Journal of Applied Nonlinear Dynamics 7.3, 269-285, 2018.

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12.Feature Learning in Feature-Sample Networks using Multi-objective Optimization

FAN Verri, R Tinós, L Zhao, IEEE Congress on Evolutionary Computation (CEC), Rio de Janeiro, Brazil, 2018.

[PDF] [Bib] [DOI]


11.Collective dynamics in complex networks for machine learning

FAN Verri, PhD Thesis, Instituto de Ciências Matemáticas e de Computação, University of São Paulo, São Carlos, 2018.

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10.Network Unfolding Map by Vertex-Edge Dynamics Modeling

FAN Verri, PR Urio, L Zhao, IEEE Transactions on Neural Networks and Learning Systems 29.2, 405-418, 2018.

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9.Random Walk in Feature-Sample Networks for Semi-supervised Classification

FAN Verri, L Zhao, 5th Brazilian Conference on Intelligent Systems (BRACIS), Recife, Brazil, 2016.

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8.Semi-Supervised Classification by Particle Competition in Complex Network’s Edges

PR Urio, FAN Verri, L Zhao, International Journal of Pattern Recognition and Artificial Intelligence 30.9, 1660006, 2016.

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7.Features of edge-centric collective dynamics in machine learning tasks

PR Urio, FAN Verri, L Zhao, 6th International Conference on Nonlinear Science and Complexity (NSC), São José dos Campos, Brazil, 2015.

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6.Semi-supervised learning by edge domination in complex networks

PR Urio, FAN Verri, L Zhao, 11th International Conference on Natural Computation (ICNC), Zhangjiajie, China, 2015.

[Bib] [DOI]


5.Combining Wireless Sensor Networks and Machine Learning for Flash Flood Nowcasting

G. Furquim, FAN Verri, G. Pessin, J. Ueyama, J.P. Albuquerque, M. Clara, E.M. Mendiondo, V.C.B. Souza, P. Souza, D. Dimitrova, T. Braun, 28th International Conference on Advanced Information Networking and Applications Workshops (WAINA), Victoria, Canada, 2014.

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4.On the data classification using complex network entropy

FAN Verri, L Zhao, Encontro Nacional de Inteligência Artificial e Computacional (ENIAC), São Carlos, Brazil, 2014.

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3.High level data classification based on network entropy

FAN Verri, L Zhao, International Joint Conference on Neural Networks (IJCNN), Dallas, USA, 2013.

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2.Classificação de Alto Nível Baseada em Entropia da Rede

FAN Verri, L Zhao, Revista Eletrônica de Iniciação Científica em Computação 16(1), 2018.

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1.Extração de Padrões de Imagens de Ultrassonografias Obstétricas utilizando Wavelets

FAN Verri, L Zhao, Workshop of Undergraduate Works (WUW) XXV Conference on Graphics, Patterns and Images (SIBGRAPI), 2012.

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