High level data classification based on network entropy. - Filipe Alves Neto Verri; Liang Zhao 001 (IJCNN, 2013)

Semi-supervised learning by edge domination in complex networks. - Paulo Roberto Urio; Filipe Alves Neto Verri; Liang Zhao 001 (ICNC, 2015)

Random Walk in Feature-Sample Networks for Semi-supervised Classification. - Filipe Alves Neto Verri; Liang Zhao 001 (BRACIS, 2016)

Network Unfolding Map by Edge Dynamics Modeling. - Filipe Alves Neto Verri; Paulo Roberto Urio; Liang Zhao 001 (CoRR, 2016)

Semi-Supervised Classification by Particle Competition in Complex Network's Edges. - Paulo Roberto Urio; Filipe Alves Neto Verri; Liang Zhao 001 (Int. J. Pattern Recognit. Artif. Intell., 2016)

Feature Learning in Feature-Sample Networks Using Multi-Objective Optimization. - Filipe Alves Neto Verri; Renato Tinós; Liang Zhao 001 (CEC, 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 001 (CoRR, 2018)

Network Unfolding Map by Vertex-Edge Dynamics Modeling. - Filipe Alves Neto Verri; Paulo Roberto Urio; Liang Zhao 001 (IEEE Trans. Neural Networks Learn. Syst., 2018)

Enhancement on the Labeled Component Unfolding System for Parallel Implementations. - Lucas Francisco Amaral Orosco Pellicer; Filipe Alves Neto Verri; Vitor Venceslau Curtis (BRACIS, 2019)

Particle Competition for Multilayer Network Community Detection. - Xubo Gao; Qiusheng Zheng; Filipe A. N. Verri; Rafael D. Rodrigues; Liang Zhao 001 (ICMLC, 2019)

Semi-Supervised Sentiment Analysis of Portuguese Tweets with Random Walk in Feature Sample Networks. - Pedro Gengo; Filipe A. N. Verri (BRACIS, 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)

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 A. N. Verri; Johnny Cardoso Marques; Lourenço Alves Pereira Jr.; Marcos R. O. A. Máximo; et al. (LARS/SBR/WRE, 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)

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)

Bridging the gap to real-world for network intrusion detection systems with data-centric approach. - Gustavo de Carvalho Bertoli; Lourenço Alves Pereira Júnior; Filipe A. N. Verri; Aldri Luiz dos Santos; Osamu Saotome (CoRR, 2021)

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 A. N. Verri; Johnny Cardoso Marques; Lourenço Alves Pereira Júnior; Marcos R. O. de A. Máximo; Vitor Venceslau Curtis (LARS/SBR/WRE, 2022)

Semi-Supervised Learning for Intelligent Surveillance. - Guilherme Corrêa de Freitas; Marcos R. O. de A. Máximo; Filipe A. N. Verri (LARS/SBR/WRE, 2022)

Navigation Aids Based on Optical Flow and Convolutional Neural Network. - Leonardo Silveira; Mateus Rodrigues de Barros; Bruno S. Faiçal; Alexandre S. Quirino da Silva; Cesar Marcondes; Marcos R. O. de A. Máximo; Filipe A. N. Verri (LARS/SBR/WRE, 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)

A Clustering Validation Index Based on Semantic Description. - Roberto Douglas Guimarães de Aquino; Vitor Venceslau Curtis; Filipe Alves Neto Verri (BRACIS (3), 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 (LA-CCI, 2023)

Process Mining And Production Routing Fast Profiling For Data-Driven Digital Twins. - Paulo Victor Lopes; Giovanni Lugaresi; Filipe Alves Neto Verri; Anders Skoogh (ECMS, 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 (ECMS, 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 A. N. Verri; Vitor Venceslau Curtis; Diego G. De Souza (IEEE Access, 2024)

SiaN-VO: Siamese Network for Visual Odometry. - Bruno S. Faiçal; Cesar Augusto Cavalheiro Marcondes; Filipe A. N. Verri (Sensors, 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., 2024)

An exact method and a heuristic for last-mile delivery drones routing with centralized graph-based airspace control. - Jorge Luiz Franco; Vitor Venceslau Curtis; Edson Luiz França Senne; Filipe Alves Neto Verri (Comput. Oper. Res., 2025)

Graph machine learning for flight delay prediction due to holding manouver. - Jorge Luiz Franco; Manoel V. Machado Neto; Filipe A. N. Verri; Diego R. Amancio (CoRR, 2025)