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Filipe Alves Neto Verri
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2020 – today
- 2024
- [j9]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:
Drone-Based AI System for Wildfire Monitoring and Risk Prediction. IEEE Access 12: 139865-139882 (2024) - [j8]Paulo Victor Lopes, Leonardo Silveira, Roberto Douglas Guimarães de Aquino, Carlos Henrique Ribeiro, Anders Skoogh, Filipe Alves Neto Verri:
Synthetic data generation for digital twins: enabling production systems analysis in the absence of data. Int. J. Comput. Integr. Manuf. 37(10-11): 1252-1269 (2024) - [j7]Bruno S. Faiçal, Cesar Augusto Cavalheiro Marcondes, Filipe Alves Neto Verri:
SiaN-VO: Siamese Network for Visual Odometry. Sensors 24(3): 973 (2024) - [c15]Paulo Victor Lopes, Giovanni Lugaresi, Filipe Alves Neto Verri, Anders Skoogh:
Process Mining And Production Routing Fast Profiling For Data-Driven Digital Twins. ECMS 2024: 171-177 - [c14]Juliano Yoshiro Nishiura, Paulo Victor Lopes, Filipe Alves Neto Verri, Anders Skoogh:
How To Evaluate Process Discovery For Digital Twins In Industry 4.0? Process Discovery, Hypothesis Testing, And Conformance Analysis. ECMS 2024: 178-184 - 2023
- [c13]Roberto Douglas Guimarães de Aquino, Vitor Venceslau Curtis, Filipe Alves Neto Verri:
A Clustering Validation Index Based on Semantic Description. BRACIS (3) 2023: 315-328 - [c12]Roberto Douglas Guimarães de Aquino, Joniel Bastos Barreto, Aline Do Nascimento Rodrigues, Filipe Alves Neto Verri, Carlos Henrique Quartucci Forster:
CNN classification subject to practical aspects of Search and Rescue UAV missions. LA-CCI 2023: 1-6 - 2022
- [j6]Filipe Rodrigues De Souza Moreira, Filipe Alves Neto Verri, Takashi Yoneyama:
Maximum Visibility: A Novel Approach for Time Series Forecasting Based on Complex Network Theory. IEEE Access 10: 8960-8973 (2022) - [c11]Guilherme Corrêa de Freitas, Marcos R. O. de A. Máximo, Filipe Alves Neto Verri:
Semi-Supervised Learning for Intelligent Surveillance. LARS/SBR/WRE 2022: 1-6 - [c10]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:
A-Star Based Algorithm Applied to Target Search and Rescue by a UAV Swarm. LARS/SBR/WRE 2022: 49-54 - [c9]Leonardo Silveira, Mateus Rodrigues, Bruno S. Faiçal, Alexandre S. Quirino da Silva, Cesar Marcondes, Marcos R. O. de A. Máximo, Filipe Alves Neto Verri:
Navigation Aids Based on Optical Flow and Convolutional Neural Network. LARS/SBR/WRE 2022: 318-323 - 2021
- [j5]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:
Platoon Grouping Network Offloading Mechanism for VANETs. IEEE Access 9: 53936-53951 (2021) - [j4]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:
An End-to-End Framework for Machine Learning-Based Network Intrusion Detection System. IEEE Access 9: 106790-106805 (2021) - [c8]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:
Autonomous and Collective Intelligence for UAV Swarm in Target Search Scenario. LARS/SBR/WRE 2021: 72-77 - [i4]Gustavo de Carvalho Bertoli, Lourenço Alves Pereira Júnior, Filipe Alves Neto Verri, Aldri Luiz dos Santos, Osamu Saotome:
Bridging the gap to real-world for network intrusion detection systems with data-centric approach. CoRR abs/2110.13655 (2021) - 2020
- [j3]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:
An Analysis on Tradable Permit Models for Last-Mile Delivery Drones. IEEE Access 8: 186279-186290 (2020) - [c7]Pedro Gengo, Filipe Alves Neto Verri:
Semi-Supervised Sentiment Analysis of Portuguese Tweets with Random Walk in Feature Sample Networks. BRACIS 2020: 595-605
2010 – 2019
- 2019
- [c6]Lucas Francisco Amaral Orosco Pellicer, Filipe Alves Neto Verri, Vitor Venceslau Curtis:
Enhancement on the Labeled Component Unfolding System for Parallel Implementations. BRACIS 2019: 794-799 - [c5]Xubo Gao, Qiusheng Zheng, Filipe Alves Neto Verri, Rafael D. Rodrigues, Liang Zhao:
Particle Competition for Multilayer Network Community Detection. ICMLC 2019: 75-80 - 2018
- [j2]Filipe Alves Neto Verri, Paulo Roberto Urio, Liang Zhao:
Network Unfolding Map by Vertex-Edge Dynamics Modeling. IEEE Trans. Neural Networks Learn. Syst. 29(2): 405-418 (2018) - [c4]Filipe Alves Neto Verri, Renato Tinós, Liang Zhao:
Feature Learning in Feature-Sample Networks Using Multi-Objective Optimization. CEC 2018: 1-6 - [i3]Filipe Alves Neto Verri, Roberto Alves Gueleri, Qiusheng Zheng, Junbao Zhang, Liang Zhao:
Network community detection via iterative edge removal in a flocking-like system. CoRR abs/1802.04186 (2018) - 2017
- [i2]Filipe Alves Neto Verri, Renato Tinós, Liang Zhao:
Feature learning in feature-sample networks using multi-objective optimization. CoRR abs/1710.09300 (2017) - 2016
- [j1]Paulo Roberto Urio, Filipe Alves Neto Verri, Liang Zhao:
Semi-Supervised Classification by Particle Competition in Complex Network's Edges. Int. J. Pattern Recognit. Artif. Intell. 30(9): 1660006:1-1660006:19 (2016) - [c3]Filipe Alves Neto Verri, Liang Zhao:
Random Walk in Feature-Sample Networks for Semi-supervised Classification. BRACIS 2016: 235-240 - [i1]Filipe Alves Neto Verri, Paulo Roberto Urio, Liang Zhao:
Network Unfolding Map by Edge Dynamics Modeling. CoRR abs/1603.01182 (2016) - 2015
- [c2]Paulo Roberto Urio, Filipe Alves Neto Verri, Liang Zhao:
Semi-supervised learning by edge domination in complex networks. ICNC 2015: 514-519 - 2013
- [c1]Filipe Alves Neto, Liang Zhao:
High level data classification based on network entropy. IJCNN 2013: 1-5
Coauthor Index
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last updated on 2024-10-23 20:34 CEST by the dblp team
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