Filipe Alves Neto Verri

According to our database, Filipe Alves Neto Verri authored at least 27 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

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

Paulo Victor Lopes, Leonardo Silveira, Roberto Douglas Guimarães de Aquino, Carlos Henrique Ribeiro, Anders Skoogh, Filipe Alves Neto Verri

Int. J. Comput. Integr. Manuf., November, 2024

SiaN-VO: Siamese Network for Visual Odometry.

Bruno S. Faiçal, Cesar Augusto Cavalheiro Marcondes, Filipe Alves Neto Verri

Sensors, February, 2024

Drone-Based AI System for Wildfire Monitoring and Risk Prediction.

Claudio A. S. Lelis, Julio J. Roncal, Leonardo Silveira, Roberto Douglas Guimarães de Aquino, Cesar Augusto Cavalheiro Marcondes, Johnny Cardoso Marques, Denis Silva Loubach, Filipe Alves Neto Verri, Vitor Venceslau Curtis, Diego G. De Souza

IEEE Access, 2024

How To Evaluate Process Discovery For Digital Twins In Industry 4.0? Process Discovery, Hypothesis Testing, And Conformance Analysis.

Juliano Yoshiro Nishiura, Paulo Victor Lopes, Filipe Alves Neto Verri, Anders Skoogh

Proceedings of the 38th ECMS International Conference on Modelling and Simulation, 2024

Process Mining And Production Routing Fast Profiling For Data-Driven Digital Twins.

Paulo Victor Lopes, Giovanni Lugaresi, Filipe Alves Neto Verri, Anders Skoogh

Proceedings of the 38th ECMS International Conference on Modelling and Simulation, 2024

2023

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

Roberto Douglas Guimarães de Aquino, Joniel Bastos Barreto, Aline Do Nascimento Rodrigues, Filipe Alves Neto Verri, Carlos Henrique Quartucci Forster

Proceedings of the IEEE Latin American Conference on Computational Intelligence, 2023

A Clustering Validation Index Based on Semantic Description.

Roberto Douglas Guimarães de Aquino, Vitor Venceslau Curtis, Filipe Alves Neto Verri

Proceedings of the Intelligent Systems - 12th Brazilian Conference, 2023

2022

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

Filipe Rodrigues De Souza Moreira, Filipe Alves Neto Verri, Takashi Yoneyama

IEEE Access, 2022

Navigation Aids Based on Optical Flow and Convolutional Neural Network.

Leonardo Silveira, Mateus Rodrigues, Bruno S. Faiçal, Alexandre S. Quirino da Silva, Cesar Marcondes, Marcos R. O. de A. Máximo, Filipe Alves Neto Verri

Proceedings of the Latin American Robotics Symposium, 2022

Semi-Supervised Learning for Intelligent Surveillance.

Guilherme Corrêa de Freitas, Marcos R. O. de A. Máximo, Filipe Alves Neto Verri

Proceedings of the Latin American Robotics Symposium, 2022

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

Guilherme T. T. Bernardo, Luan Mateus Bocalan Vogás, Sargon D. S. Rodrigues, Thiago G. G. Lopes, Cesar Augusto Cavalheiro Marcondes, Denis Silva Loubach, Elton Felipe Sbruzzi, Filipe Alves Neto Verri, Johnny Cardoso Marques, Lourenço Alves Pereira Júnior, Marcos R. O. de A. Máximo, Vitor Venceslau Curtis

Proceedings of the Latin American Robotics Symposium, 2022

2021

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

Gustavo de Carvalho Bertoli, Lourenço Alves Pereira Júnior, Filipe Alves Neto Verri, Aldri Luiz dos Santos, Osamu Saotome

CoRR, 2021

Platoon Grouping Network Offloading Mechanism for VANETs.

Roger Nobuyuki Kamoi, Lourenço Alves Pereira Júnior, Filipe Alves Neto Verri, Cesar Augusto Cavalheiro Marcondes, Carlos Henrique Gomes Ferreira, Rodolfo Ipolito Meneguette, Adilson Marques da Cunha

IEEE Access, 2021

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

Gustavo de Carvalho Bertoli, Lourenço Alves Pereira Júnior, Osamu Saotome, Aldri L. dos Santos, Filipe Alves Neto Verri, Cesar Augusto Cavalheiro Marcondes, Sidnei Barbieri, Moises S. Rodrigues, José M. Parente de Oliveira

IEEE Access, 2021

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

Luiz Giacomossi, Flavio Souza, Raphael Gomes Cortes, Huascar Mirko Montecinos Cortez, Caue Ferreira, Cesar Augusto Cavalheiro Marcondes, Denis Silva Loubach, Elton Felipe Sbruzzi, Filipe Alves Neto Verri, Johnny Cardoso Marques, Lourenço Alves Pereira Jr., Marcos R. O. A. Máximo, Vitor Venceslau Curtis

Proceedings of the Latin American Robotics Symposium, 2021

2020

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

Filipe Alves Neto Verri, Cesar Augusto Cavalheiro Marcondes, Denis Silva Loubach, Elton Felipe Sbruzzi, Johnny Cardoso Marques, Lourenço Alves Pereira Júnior, Marcos Ricardo Omena de Albuquerque Máximo, Vitor Venceslau Curtis

IEEE Access, 2020

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

Pedro Gengo, Filipe Alves Neto Verri

Proceedings of the Intelligent Systems - 9th Brazilian Conference, 2020

2019

Particle Competition for Multilayer Network Community Detection.

Xubo Gao, Qiusheng Zheng, Filipe Alves Neto Verri, Rafael D. Rodrigues, Liang Zhao

Proceedings of the 2019 11th International Conference on Machine Learning and Computing, 2019

Enhancement on the Labeled Component Unfolding System for Parallel Implementations.

Lucas Francisco Amaral Orosco Pellicer, Filipe Alves Neto Verri, Vitor Venceslau Curtis

Proceedings of the 8th Brazilian Conference on Intelligent Systems, 2019

2018

Network Unfolding Map by Vertex-Edge Dynamics Modeling.

Filipe Alves Neto Verri, Paulo Roberto Urio, Liang Zhao

IEEE Trans. Neural Networks Learn. Syst., 2018

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

Filipe Alves Neto Verri, Roberto Alves Gueleri, Qiusheng Zheng, Junbao Zhang, Liang Zhao

CoRR, 2018

Feature Learning in Feature-Sample Networks Using Multi-Objective Optimization.

Filipe Alves Neto Verri, Renato Tinós, Liang Zhao

Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

2016

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

Paulo Roberto Urio, Filipe Alves Neto Verri, Liang Zhao

Int. J. Pattern Recognit. Artif. Intell., 2016

Network Unfolding Map by Edge Dynamics Modeling.

Filipe Alves Neto Verri, Paulo Roberto Urio, Liang Zhao

CoRR, 2016

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

Filipe Alves Neto Verri, Liang Zhao

Proceedings of the 5th Brazilian Conference on Intelligent Systems, 2016

2015

Semi-supervised learning by edge domination in complex networks.

Paulo Roberto Urio, Filipe Alves Neto Verri, Liang Zhao

Proceedings of the 11th International Conference on Natural Computation, 2015

2013

High level data classification based on network entropy.

Filipe Alves Neto, Liang Zhao

Proceedings of the 2013 International Joint Conference on Neural Networks, 2013