Artigos publicados pelo CSI Lab em periódicos e conferências internacionais e nacionais de alto impacto. Todo o código-fonte está disponível em
github.com/ufopcsilab.
Artigos por Ano
Citações por Ano
2026
Marcus Vinicius Santana Lima ALMEIDA, Ivair R. Silva, Vander Freitas, Eduardo Luz, Gladston Moreira
A NAS-Optimized Deep Learning Model for Customer Churn Prediction in Financial Services
Network-informed pathways to sustainable energy Access: A graph mining approach for accelerating clean energy transitions in developing countries
Xiao-Bing Zhang, Sidique Gawusu, Seidu Abdulai Jamatutu et al. (2026)
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A Distance-Driven Centroid Method for Community Detection Using Influential Nodes in Social Networks
Srinivas Amedapu, R. Leela Velusamy (2026)
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Pedro Silva, Guilherme Silva, Pablo Coelho, Vander L. S. Freitas, Gladston Moreira, David Menotti, Eduardo Luz
PD-Loss: Proxy-Decidability for Efficient Metric Learning
Arthur Negrão, Gilberto de Miranda Rocha, Luís Antônio Coutrim dos Santos, Pedro I. de S. Malaquias, Rodrigo Pinto Pedrosa, Reinaldo Silva Fortes, Pedro Silva
Mitigando Impactos de Distribuições Não-IID em Aprendizagem Federada para Sistemas de Recomendação
GERARDO SÉRGIO FRANCELINO DE OLIVEIRA, João Pedro Lobo, Otávio Venâncio, Vinícius da Fonseca Vieira Vieira, Jussara M. Almeida, Ana Paula Couto da Silva, Ronan S. Ferreira, Carlos H. G. Ferreira
A Network-Driven Framework for Bidimensional Analysis of Information Dissemination on Social Media Platforms
AI-powered detection of cyberbullying in short-form video content: A hybrid deep learning framework
Ahmad A. Mazhar, Islam Zada, Manal Aldhayan et al. (2026)
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Cátia Souza do Nascimento Sepetauskas, Vander L. S. Freitas, Hugo Saba, Leonardo Bacelar Lima Santos
Unveiling connections: Mobility and dengue case networks on an intraurban scale
Spatiotemporal Dynamics of Dengue in the State of Pará and the Socio-Environmental Determinants in Eastern Brazilian Amazon
Brenda Caroline Sampaio da Silva, Ricardo José de Paula Souza e Guimarães, Bruno Spacek Godoy et al. (2025)
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Laura Coura, Júlia Gonzaga, Reinaldo Fortes, Andrea Bianchi, Jadson Castro Gertrudes, Rone Ilídio, Saul Delabrida
Training Teachers to Design Virtual Reality Games: A Brazilian Context Experience
Caracterização do debate online sobre cigarro eletrônico no Brasil: Uma análise de tópicos de discussão no YouTube
Richardy R. Tanure, Aline Peçanha Muzy Dias, Lucas A. Camelo et al. (2025)
DOI ↗2 citations
Análise da Percepção Pública sobre Ministros da Área Econômica Brasileira no YouTube com PLN
Daniel M. Prates, Guilherme O. Santos, Vinícius da Fonseca Vieira et al. (2025)
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Modelos de Linguagem na Análise da Promoção de Jogos de Azar Online: Estudo de Caso do Jogo do Tigrinho no YouTube
Jessica Costa, Leonardo Cristian Rocha, Carlos H. G. Ferreira (2025)
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Narrativas de Jogos de Azar em Plataformas de Vídeo: Um Estudo Linguístico-Temático sobre o jogo do Tigrinho no YouTube
Gabriel Prenassi, Ana Machado, Elias Costa de Souza et al. (2025)
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Francisco José dos Santos Diniz, Saulo N. Matos, Jó Ueyama, Leandro Soriano Marcolino, Eduardo Luz, Gustavo Pessin
Uncertainty Quantification in Measuring Ore Mass Flow Rate with Data-Driven Soft Sensors
Dênis Ricardo Xavier de Oliveira, Gladston Moreira, Anderson Ribeiro Duarte
Arbitrarily shaped spatial cluster detection via reinforcement learning algorithms
Environmental and Ecological Statistics.
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Showing 2 of 2 citing papers
A model-based scan statistic with enhanced specificity for detecting spatial clusters of high mortality risk
Enrico Bovo, Pietro Belloni, Andrea Sottosanti et al. (2025)
DOI ↗1 citations
Multi-Objective Reinforcement Learning Algorithm for Irregular Spatial Clusters Detection
Dênis Oliveira, Anderson Ribeiro Duarte, André Luiz Carvalho Ottoni et al. (2025)
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Francisco José dos Santos Diniz, Thomás V. B. Pinto, Saulo N. Matos, Eduardo Luz, Gustavo Pessin, Jó Ueyama
Enhancing Operational Safety with Conformal Prediction in Soft Sensors
Beyond Accuracy: A MultiDimensional Framework for Evaluating Medical Image Classification Through Win vs. Lose Model Comparisons
Haixia Liu (2025)
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2024
Zenóbio Dos Santos Júnior, Frederico Giffoni de Carvalho Dutra, Eduardo Luz
Classificação das Tags dos pedidos de acesso à informação por meio do ChatGPT
Paulo Miguel Santos, Valéria de Carvalho Santos, Eduardo Luz
Towards robust ferrous scrap material classification with deep learning and conformal prediction
Engineering Applications of Artificial Intelligence.
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Showing 6 of 6 citing papers
Applications and Progress of Image Recognition Techniques in Scrap Steel Classification and Grading: A Review
Long Chen, Lan Shen, Hao Wang et al. (2025)
DOI ↗2 citations
Hybrid conformal prediction framework for reliable seismic failure mode identification in reinforced concrete columns
Zecheng Yu, Bo Yu, Bing Li (2025)
DOI ↗2 citations
Machine learning approach for predicting tramp elements in the basic oxygen furnace based on the compiled steel scrap mix
Michael Schäfer, Ulrike Faltings, Björn Glaser (2025)
DOI ↗2 citations
Modelling the influence of scrap size on charge-to-melt time and metallic loss in EAFs
Carlo Mapelli, Gianluca Dall’Osto, Sara Scolari et al. (2025)
DOI ↗1 citations
Toward Green Manufacturing: A Heuristic Hybrid Machine Learning Framework with PSO for Scrap Reduction
Emine Nur Nacar, Babak Daneshvar Rouyendegh, Ergün Eraslan (2025)
DOI ↗1 citations
Decreasing the Environmental Impact of the Electric Steelmaking Route Through Advanced Modelling Techniques
Valentina Colla, Antonella Zaccara, Stefano Dettori et al. (2026)
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Dênis Oliveira, Anderson Ribeiro Duarte, Eduardo Luz, Gladston Moreira
Reinforcement Learning for the Detection of Arbitrary Shaped Spatial Clusters
Leveraging Large-Scale Face Datasets for Deep Periocular Recognition via Ocular Cropping
Fernando Alonso-Fernandez, Kevin Hernandez-Diaz, Jose Maria Buades Rubio et al. (2026)
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Exploring Complementarity and Explainability in CNNs for Periocular Verification Across Acquisition Distances
Fernando Alonso‐Fernandez, Kevin Hernandez Diaz, Jose Miguel Frutos Buades et al. (2025)
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Fernando Euzebio Zimerman, Fernando Henrique Oliveira Duarte, Pedro Silva, Reinaldo Silva Fortes
Explorando ChatGPT para criação automática de questões práticas de Programação de Computadores
The Last Decade of Automatic Question Generation: A Review of Techniques, Limitations, and Applications in Business Process Management Education
Guilherme Rego Rockembach, Lucinéia Heloisa Thom (2026)
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Uma análise de qualidade do uso de grandes modelos de linguagem para geração automática de itens avaliativos em português
João Nogueira, João Augusto Pilato de Castro, Lucas Larcher et al. (2025)
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Francisco José dos Santos Diniz, Eduardo Luz, Gustavo Pessin
Predição Conforme para Quantificação de Incertezas no Monitoramento de Estruturas Geotécnicas
Comprehensive Analysis of Provenance-Based APT Detection: An Evaluation-First Modeling Perspective
Mustafa İpekbayrak, Zeynep Gürkaş Aydın (2026)
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Francisco Zacaron Werneck, Emerson Filipino Coelho, Marcelo de Oliveira Matta, Rodrigo Silva, António J. Figueiredo
Goldfit Soccer: A Multidimensional Model for Talent Identification of Young Soccer Players
Research Quarterly for Exercise and Sport.
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Showing 4 of 4 citing papers
Influence of Age and Body Size on the Dribbling Performance of Young Elite Soccer Players: A Cross-Sectional Descriptive Study
Thiago Viana Camata, Andrew H. Hunter, Nicholas M. A. Smith et al. (2025)
DOI ↗2 citations
Multidimensional indicators of sporting talent in young male volleyball athletes
Júlia Ribeiro de Oliveira, Francisco Zacaron Werneck, Hélder Zimmermann Oliveira et al. (2025)
DOI ↗1 citations
Previsão de Sucesso de Atletas Jovens de Futebol usando Integração de diferentes Base de Dados
Lucas Calmon, Rodrigo Ferro, Carlos Alberto Pereira et al. (2024)
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Perceptions of Colombian Olympic coaches on talent identification and development in sport: a qualitative study
Diego Sanchéz, Diogo V. Martinho, António José Barata Figueiredo et al. (2026)
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Otávio Venâncio, Carlos H. G. Ferreira, Jussara M. Almeida, Ana Paula Couto da Silva
Unraveling User Coordination on Telegram: A Comprehensive Analysis of Political Mobilization during the 2022 Brazilian Presidential Election
Proceedings of the International AAAI Conference on Web and Social Media.
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Showing 10 of 16 citing papers
Evidências de disseminação de conteúdo no Telegram durante o ataque aos órgãos públicos brasileiros em 2023
Otávio Venâncio, Gabriel Coutinho Gonçalves, Carlos H. G. Ferreira et al. (2024)
DOI ↗7 citations
Topic-wise Exploration of the Telegram Group-verse
Alessandro Perlo, Giordano Paoletti, Nikhil Jha et al. (2025)
DOI ↗4 citations
Twitter and the 2022 Brazilian Elections Portrait: A Network and Content-Driven Analysis
Larissa Malagoli, Giovana Piorino, Carlos H. G. Ferreira et al. (2024)
DOI ↗4 citations
Caracterização do debate online sobre cigarro eletrônico no Brasil: Uma análise de tópicos de discussão no YouTube
Richardy R. Tanure, Aline Peçanha Muzy Dias, Lucas A. Camelo et al. (2025)
DOI ↗2 citations
Um Framework para Análise Bidimensional de Disseminação de Informações em Plataformas de Mídias Sociais
GERARDO SÉRGIO FRANCELINO DE OLIVEIRA, Otávio Venâncio, Vinícius Vieira et al. (2024)
DOI ↗2 citations
A social curiosity-driven approach to analyzing the information dissemination in Telegram political groups
Francisco Herbert Lima Vasconcelos, Alexandre Magno Sousa, Jussara M. Almeida (2024)
DOI ↗1 citations
Tracing the 2024 U.S. election debate on Telegram with LLMs and graph analysis
Giordano Paoletti, Carlos H. G. Ferreira, Luca Vassio et al. (2025)
DOI ↗1 citations
„Telegram“ kanalų vaidmenys naujienų žiniasklaidos ekosistemoje: tarp laisvės ir moderavimo
Darius Remeika (2025)
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A Network-Driven Framework for Bidimensional Analysis of Information Dissemination on Social Media Platforms
GERARDO SÉRGIO FRANCELINO DE OLIVEIRA, João Pedro Lobo, Otávio Venâncio et al. (2025)
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Large-scale detection of multilingual coordinated activity on Telegram
Leonardo Blas, Deoki N. Saraf, Tanishq Salkar et al. (2025)
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Caracterização e Predição de Usuários Tóxicos no Twitter/X durante as Eleições Brasileiras de 2022
Samuel Lopes Pinto, José Julio Campolina, João Pedro M. Sena et al. (2024)
DOI ↗3 citations
Um Framework para Análise Bidimensional de Disseminação de Informações em Plataformas de Mídias Sociais
GERARDO SÉRGIO FRANCELINO DE OLIVEIRA, Otávio Venâncio, Vinícius Vieira et al. (2024)
DOI ↗2 citations
FakeCheck: Explorando a Comunicabilidade de uma Ferramenta de Detecção de Fake News
Inês Marques, Andréia Libório Sampaio, João Paulo Abreu Vieira et al. (2025)
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A Network-Driven Framework for Bidimensional Analysis of Information Dissemination on Social Media Platforms
GERARDO SÉRGIO FRANCELINO DE OLIVEIRA, João Pedro Lobo, Otávio Venâncio et al. (2025)
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Revelando a dinâmica das discussões em grupos públicos do Telegram: um estudo sobre as eleições no Brasil em 2022
Daniel N. Junqueira, Carlos H. G. Ferreira, Giordano Paoletti et al. (2025)
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Frank Castilio Alencar, Carlos H. G. Ferreira, Dionisio Leite
Developing Decentralized Applications: A Framework Approach on Blockchain Networks
Towards a Blockchain Hybrid Platform for Gamification of Healthy Habits: Implementation and Usability Validation
Juan Lopez-Barreiro, Luís Álvarez Sabucedo, José Luis García Soidán et al. (2024)
DOI ↗4 citations
Vinícius da Fonseca Vieira, Carlos H. G. Ferreira, Jussara M. Almeida, Edré Moreira, Alberto H. F. Laender, Wagner Meira, Marcos André Gonçalves
A network-driven study of hyperprolific authors in computer science
Hyperprolific authorship: Unveiling the extent of extreme publishing in the ‘publish or perish’ era
Giovanni Abramo, Ciriaco Andrea D’Angelo (2025)
DOI ↗6 citations
Are there too many papers by the same authors within the same conference proceedings? Norms and extremities within the field of human–computer interaction
Frode Eika Sandnes (2025)
DOI ↗2 citations
Academic collaboration networks study on library and information science community
Leye Yao, Kai‐Yi Chen, Peng‐hui Lyu (2025)
DOI ↗2 citations
Prevalence of hyperprolific authors in sports medicine and musculoskeletal health and implications on research attention
Serena Uppal, Haneef Khan, Michelle Helen Cruickshank et al. (2026)
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The complex ecosystem of hyperprolific authors
Jussara M. Almeida, Alessia Antelmi, Marcos André Gonçalves et al. (2026)
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Hiper-redes para análise de relações de coautoria
Matheus H. B. dos Santos, Jussara M. Almeida, Carolina Ribeiro Xavier et al. (2024)
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Guilherme Silva, Pedro Silva, Gladston Moreira, Eduardo Luz
Bridging the Gap in ECG Classification: Integrating Self-supervised Learning with Human-in-the-Loop Amid Medical Equipment Hardware Constraints
Matheus de Moraes Gonçalves Correia, Jéssica Domingues Lamosa, Vander L. S. Freitas, Lívia Rodrigues Tomás, Leonardo Bacelar Lima Santos
Study of links between people in urban areas based on mobility data for the city of São Paulo
Proceeding Series of the Brazilian Society of Computational and Applied Mathematics.
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Gabriel Corrêa Veríssimo, Simone Queiroz Pantaleão, Philipe Oliveira Fernandes, Jadson Castro Gertrudes, Thales Kronenberger, Káthia M. Honório, Vinícius Gonçalves Maltarollo
MASSA Algorithm: an automated rational sampling of training and test subsets for QSAR modeling
Journal of Computer-Aided Molecular Design.
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Showing 5 of 5 citing papers
A review of quantitative structure-activity relationship: The development and current status of data sets, molecular descriptors and mathematical models
Jianmin Li, Tian Zhao, Qin Yang et al. (2024)
DOI ↗37 citations
Machine Learning-Based Virtual Screening of Antibacterial Agents against Methicillin-Susceptible and Resistant <i>Staphylococcus aureus</i>
Philipe Oliveira Fernandes, Anna Letícia Teotonio Dias, Valtair Severino dos Santos et al. (2024)
DOI ↗11 citations
Clustering of Small Molecules
Alan Talevi, Lucas N. Alberca, Carolina L. Bellera (2024)
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QSAR and Machine Learning Predictors
Philipe Oliveira Fernandes, Vinícius Gonçalves Maltarollo (2024)
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Introduction to Cheminformatics for Predictive Modeling
Philipe Oliveira Fernandes, Rafael Lopes Almeida, Vinícius Gonçalves Maltarollo (2025)
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Gabriel Corrêa Veríssimo, Simone Queiroz Panteleão, Jadson Castro Gertrudes, Thales Kronenberger, Káthia M. Honório, Vinícius Gonçalves Maltarollo
MASSA Algorithm: automated rational sampling of training and test subsets for QSAR modelling
Aminopyrimidine Derivatives as Multiflavivirus Antiviral Compounds Identified from a Consensus Virtual Screening Approach
Mateus Sá Magalhães Serafim, Thales Kronenberger, Rafael E. O. Rocha et al. (2024)
DOI ↗12 citations
Overcoming class imbalance in drug discovery problems: Graph neural networks and balancing approaches
Rafael Lopes Almeida, Vinícius Gonçalves Maltarollo, Frederico Coelho (2023)
DOI ↗7 citations
Understanding the Enzyme (<i>S</i>)-Norcoclaurine Synthase Promiscuity to Aldehydes and Ketones
Brunno Salvatti, Marcelo Chagas, Phillipe O. Fernandes et al. (2024)
DOI ↗6 citations
MASSA Algorithm: automated rational sampling of training and test subsets for QSAR modelling
Gabriel Corrêa Veríssimo, Simone Queiroz Pantaleão, Philipe Oliveira Fernandes et al. (2023)
DOI ↗1 citations
Gabriel Porto Oliveira, Jadson Castro Gertrudes, Roberta B. Oliveira
Spending pattern visualization using unsupervised machine learning
Leveraging Transfer Learning for Hate Speech Detection in Portuguese Social Media Posts
Gil Ramos, Fernando Batista, Ricardo Ribeiro et al. (2024)
DOI ↗9 citations
The Effects of Social Approval Signals on the Production of Online Hate: A Theoretical Explication
Joseph B. Walther (2024)
DOI ↗7 citations
LLMs Red Teaming
Dragos Ruiu (2024)
DOI ↗4 citations
Toxic Text Classification in Portuguese: Is LLaMA 3.1 8B All You Need?
Amanda Szekir de Oliveira, Pedro Silva, Valéria Santos et al. (2024)
DOI ↗4 citations
Multimodal Hate Speech Detection using Fine-Tuned Llama 2 Model
Keerthana Sasidaran, J. Geetha (2024)
DOI ↗3 citations
Inteligencia artificial aplicada al análisis de discursos de odio
Álvaro Giménez Sarmiento, Víctor Cerdán Martínez, Daniel Villa Gracia (2025)
DOI ↗1 citations
Abordagem Semi-Supervisionada para Anotação de Linguagem Tóxica
Francisco A. R. Neto, Rafael T. Anchiêta, Raimundo Santos Moura et al. (2024)
DOI ↗1 citations
A Transformer-Based Tabular Approach to Detect Toxic Comments
Ghivvago D. Saraiva, Rafael T. Anchiêta, Raimundo Santos Moura et al. (2025)
DOI ↗1 citations
Social Processes in the Intensification of Online Hate: The Effects of Verbal Replies to Anti-Muslim and Anti-Jewish Posts Following 7 October 2023
Zachary P Rosen, Joseph B. Walther (2025)
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Hear ALL Parties: Detecting Implicit Hate Speech using Contrastive In-context Learning
Yankang Li, Sanchuan Guo, Xi Zhang (2025)
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Gastrointestinal symptoms in COVID-19 and disease severity: a Japanese registry-based retrospective cohort study
Yuta Matsubara, Hiroki Kiyohara, Yohei Mikami et al. (2024)
DOI ↗8 citations
Risks of Adverse Outcomes for Hospitalized COVID-19 Patients during the Four Waves in Brazil According to SARS-CoV-2 Variants, Age Group, and Vaccine Status
Natália Satchiko Hojo-Souza, Waasila Jassat, Daniel L. Guidoni et al. (2023)
DOI ↗4 citations
Association between sore throat and early immune responses against COVID-19 before and after the emergence of the Omicron variant
Yusuke Takegoshi, Kentaro Nagaoka, Toshiki Kido et al. (2024)
DOI ↗2 citations
Analysis of longitudinal social media for monitoring symptoms during a pandemic
Shixu Lin, Lucas Garay, Yining Hua et al. (2025)
DOI ↗1 citations
Prevalence and Factors Associated with Olfactory Dysfunction in Individuals with COVID-19 in Brazil: A Study of 20,669 Cases from 2020 to 2021
Carlos Dornels Freire de Souza, Amanda Júlia de Arruda Magalhães, Yasmin Vitória Silva Nobre et al. (2024)
DOI ↗1 citations
Denoising Longitudinal Social Media for Pandemic Monitoring
Shixu Lin, Lucas Garay, Yining Hua et al. (2024)
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Aurelienne A. S. Jorge, Vander L. S. Freitas, Izabelly Carvalho da Costa, Leonardo Bacelar Lima Santos
Graph4GIS: Geographical graphs for GIS platforms based on weather radar dataset
Could Physics teaching and Sustainability challenges be linked?
Dominique Persano Adorno, Iro Koliakou, Tharrenos Bratitsis et al. (2025)
DOI ↗3 citations
Júlia Beatriz A. Teixeira, Mariana T. Rezende, Débora N. Diniz, Cláudia Martins Carneiro, Eduardo Luz, Marcone Jamilson Freitas Souza, Daniela Ushizima, Fátima N. S. de Medeiros, Andrea Bianchi
Segmentation of cervical nuclei using convolutional neural network for conventional cytology
Computer Methods in Biomechanics and Biomedical Engineering Imaging & Visualization.
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Showing 5 of 5 citing papers
SPP-SegNet and SE-DenseNet201: A Dual-Model Approach for Cervical Cell Segmentation and Classification
Betelhem Zewdu Wubineh, Andrzej Rusiecki, Krzysztof Halawa (2025)
DOI ↗5 citations
SE-DeepLabV3+: Cervical Cell Segmentation and Classification Using a Novel SE-Based DeepLabV3+ and Ensemble Method
Betelhem Zewdu Wubineh, Andrzej Rusiecki, Krzysztof Halawa (2025)
DOI ↗4 citations
Cervical Cell Segmentation and Classification Using U-Net and Hybrid VGG19-AlexNet Architecture
Betelhem Zewdu Wubineh, Andrzej Rusiecki, Krzysztof Halawa (2024)
DOI ↗3 citations
Impact of a generalised SVG-based large-scale super-resolution algorithm on the design of light-weight medical image segmentation DNNs
Mina Esfandiarkhani, Amir Hossein Foruzan (2023)
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Cytoplasm and nuclei as a basis for Bethesda cell cluster classification in cervical smears
Antonina Pater, Łukasz Roszkowiak, Krzysztof Siemion et al. (2025)
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João Paulo Reis Alvarenga, Luiz Henrique de Campos Merschmann, Eduardo Luz
A Data-Centric Approach for Portuguese Speech Recognition: Language Model And Its Implications
A review on speech recognition approaches and challenges for Portuguese: exploring the feasibility of fine-tuning large-scale end-to-end models
Yan Li, Yapeng Wang, Lap Man Hoi et al. (2025)
DOI ↗2 citations
Adapting ASR Models to Technical Scenarios: A Case Study in the Brazilian Automotive Repair Domain
Decarla Gomes da Silva, Maria Eduarda Silva Borba, Gustavo dos Reis Oliveira et al. (2025)
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Leonardo Bacelar Lima Santos, Giovanni G. Soares, Tanishq Garg, Aurelienne A. S. Jorge, Luciana R. Londe, Regina Tortorella Reani, Roberta B. Bacelar, Carlos E. S. Oliveira, Vander L. S. Freitas, Igor M. Sokolov
Vulnerability analysis in complex networks under a flood risk reduction point of view
A complex network approach to quantifying flood resilience in high-density coastal urban areas: A case study of Macau
Rui Zhang, Yangli Li, Chong Li et al. (2025)
DOI ↗16 citations
A Dual-Layer Complex Network-Based Quantitative Flood Vulnerability Assessment Method of Transportation Systems
Jiayu Ding, Yuewei Wang, Chaoyue Li (2024)
DOI ↗4 citations
Risk Assessment and Mitigation Strategies for Rainstorm-Induced Disaster Chains in Northwest China
Xiaoxue Zhao, Zongxi Qu, Junjie Zhang et al. (2024)
DOI ↗1 citations
Short-Term Disaster Impacts on Transportation Infrastructure: A Review of Emerging Technologies and Approaches
Beixuan Dong, Lingzi Wu, Xinming Li (2025)
DOI ↗1 citations
Vulnerability Study of Urban River-Crossing Passages Considering the Impact of Disruption on Travel
Keyuan Ding, Ran Peng, Zhang Yan et al. (2025)
DOI ↗1 citations
Robustness analysis in an inter-cities mobility network: modeling municipal, state and federal initiatives as failures and attacks
Freitas Vls, Jeferson Feitosa, Sepetauskas Csn et al. (2020)
1 citations
Not all roads are created equal: network science shows some highways matter more for Brazil’s connectivity
Júlio Taveira, Ronaldo Menezes, Fernando Buarque (2026)
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ShpStreetGraph: From spatial relations of streets to graph representations
Paula Rafaela Queiroz da Silva, Aurelienne A. S. Jorge, Leonardo Bacelar Lima Santos et al. (2024)
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A GNN-Based Framework for Assessing Flood Impacts on Highway Networks: Integrating Network Structural, Functional, and Social Features
S.M.ASCE Beixuan Dong, A.M.ASCE Xinming Li, A.M.ASCE Lingzi Wu (2026)
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Analysis of Rural Evacuation Road Networks Based on Complex Networks Modeling
Wenyin Cheng, Xu Feng, Qinyu Song et al. (2025)
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Optimisation of Buffer Allocations in Manufacturing Systems: A Study on Intra and Outbound Logistics Systems Using Finite Queueing Networks
Mohamed Amjath, Laoucine Kerbache, J. MacGregor Smith et al. (2023)
DOI ↗17 citations
Jonathan C. F. da Silva, Mateus Silva, Eduardo Luz, Saul Delabrida, Ricardo Oliveira
Using Mobile Edge AI to Detect and Map Diseases in Citrus Orchards
Advancing common bean (Phaseolus vulgaris L.) disease detection with YOLO driven deep learning to enhance agricultural AI
Daniela Gómez, Michael Gomez Selvaraj, Jorge Casas et al. (2024)
DOI ↗30 citations
YOLO deep learning algorithm for object detection in agriculture: a review
S. Kanaga Suba Raja, R. Kumaraperumal, P Pazhanivelan et al. (2024)
DOI ↗27 citations
Citrus Disease Image Generation and Classification Based on Improved FastGAN and EfficientNet-B5
Qiufang Dai, Yuanhang Guo, Zhen Li et al. (2023)
DOI ↗24 citations
Classification of Citrus Huanglongbing Degree Based on CBAM-MobileNetV2 and Transfer Learning
Shiqing Dou, Lin Wang, Donglin Fan et al. (2023)
DOI ↗23 citations
Deep Learning-Based Classification of Macrofungi: Comparative Analysis of Advanced Models for Accurate Fungi Identification
Şifa Özsarı, Eda Kumru, Fatih Ekinci et al. (2024)
DOI ↗22 citations
Plant leaf disease detection and classification using convolution neural networks model: a review
Tanko Daniel Salka, Marsyita Hanafi, R. Saidur et al. (2025)
DOI ↗18 citations
Enhancing Smart Agriculture With Lightweight Object Detection: MobileNetv3-YOLOv4 and Adaptive Width Multipliers
I-Shih Lin, Yingjun Cheng, Trong‐Yen Lee (2024)
DOI ↗15 citations
Identification of Tea Disease Under Complex Backgrounds Based on Minimalism Neural Network Architecture and Channel Reconstruction Unit
Shanshan Li, Z. J. Zhang, Shijun Li (2024)
DOI ↗9 citations
Optimizing Citrus Disease Prediction: A Hybrid CNN-SVM Approach for Enhanced Accuracy
Varun Kumar, Deepak Banerjee, Rahul Chauhan et al. (2024)
DOI ↗8 citations
Advanced technologies for precision tree fruit disease management: A review
Y.Q. Yang, Priyanka Rajendra Mali, Lawrence Arthur et al. (2024)
DOI ↗7 citations
AutonoML: Towards an Integrated Framework for Autonomous Machine Learning
David Jacob Kedziora, Katarzyna Musiał, Bogdan Gabryś (2024)
DOI ↗6 citations
Pedro Castro, Gabriel Cássia Fortuna, Pedro Silva, Andrea Bianchi, Gladston Moreira, Eduardo Luz
Merging Traditional Feature Extraction and Deep Learning for Enhanced Hop Variety Classification: A Comparative Study Using the UFOP-HVD Dataset
Revolutionizing microbial classification: leveraging machine learning for enhanced classification with feature-based data
Saddam Bekhet, Fahad Kamal Alsheref, Amr Abdelaziz et al. (2025)
DOI ↗2 citations
GAN-AHR: A GAN-Based Adaptive Hybrid Resampling Algorithm for Imbalanced Intrusion Detection
Monirah Al-Ajlan, Mourad Ykhlef (2025)
DOI ↗1 citations
Selection of alkaliphilic Bacillus pectate lyases based on reactivity and pH-dependent stability in simulated environment for industrial applications
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DOI ↗
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DOI ↗
Early Cardiovascular Risk Prediction in Quilombola Afro-descendants: A Data-Driven Approach
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DOI ↗
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Evolutionary History and Rhizosphere Microbial Community Composition in Domesticated Hops ( <scp> <i>Humulus lupulus L</i> . </scp> )
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DOI ↗1 citations
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DOI ↗1 citations
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DOI ↗
Merging Traditional Feature Extraction and Deep Learning for Enhanced Hop Variety Classification: A Comparative Study Using the UFOP-HVD Dataset
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DOI ↗
Evolutionary history and rhizosphere microbial community composition in domesticated hops ( <i>Humulus lupulus L</i> .)
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DOI ↗
Study on the Composition of Hop Terpenes and Terpenoids by Steam Distillation and Effects on Beer Flavor by an Ale Yeast
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Débora N. Diniz, Mariana T. Rezende, Andrea Bianchi, Cláudia Martins Carneiro, Eduardo Luz, Gladston Moreira, Daniela Ushizima, Fátima N. S. de Medeiros, Marcone Jamilson Freitas Souza
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Automated Detection and Classification of Cervical Cancer Using Pap Smear Microscopic Images: A Comprehensive Review and Future Perspectives
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DOI ↗
Vander L. S. Freitas, Serhiy Yanchuk, Helder L. C. Grande, Elbert E. N. Macau
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DOI ↗
Mariana Mota, Pedro Silva, Eduardo Luz, Gladston Jp, Moreira Corresp, Thiago Schons, Lauro Moraes, David Menotti, Gladston Moreira, Mariana Mota, Z Alyasseri, A Khader, M Al-Betar, O Alomari, M Boubakeur, G Wang, C Zhang, K Liu, D Carrin-Ojeda, R Fonseca-Delgado, I Pineda, R Das, E Maiorana, P Campisi, R Das, E Maiorana, P Campisi, Del Pozo-Banos, M Alonso, J Ticay-Rivas, J Travieso, C, A Delorme, T Sejnowski, S Makeig, M Delpozo-Banos, C Travieso, J Alonso, A John, H El-Fiqi, M Wang, N Salimi, K Kasmarik, M Barlow, H Abbass, M Fraschini, A Hillebrand, M Demuru, L Didaci, G Marcialis, M Fraschini, S Pani, L Didaci, G Marcialis, G Garcia, G Moreira, D Menotti, Luz, E, H Ghandeharion, H Ahmadi-Noubari, A Goldberger, L Amaral, L Glass, J Hausdorff, P Ivanov, R Mark, J Mietus, G Moody, C.-K Peng, H Stanley, Q Gui, M Ruiz-Blondet, S Laszlo, Jin, Z, J Hu, L Shen, G Sun, M Islam, A Rastegarnia, Z Yang, A Jain, A Ross, S Prabhakar, X Kong, W Kong, Q Fan, Q Zhao, A Cichocki, M Kostlek, J t'astn, M Kumar, M Saranya, S Narayanan, M Sur, H Murthy, P Kumar, R Arumuganathan, K Sivakumar
Peer Review #3 of "A deep descriptor for cross-tasking EEG-based recognition (v0.1)"
Unified Framework for Identity and Imagined Action Recognition From EEG Patterns
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DOI ↗9 citations
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A novel AI-driven EEG generalized classification model for cross-subject and cross-scene analysis
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DOI ↗1 citations
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Mateus Sá Magalhães Serafim, Valtair Severino dos Santos, Jadson Castro Gertrudes, Vinícius Gonçalves Maltarollo, Káthia M. Honório
Machine learning techniques applied to the drug design and discovery of new antivirals: a brief look over the past decade
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Rashmi Kumari, Suresh D. Sharma, Amrita Kumar et al. (2023)
DOI ↗141 citations
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Marcos Antônio Alves, Giulia Zanon de Castro, Bruno Alberto Soares Oliveira, Leonardo Augusto Ferreira, J.A. Ramírez, Rodrigo Silva, Frederico Gadelha Guimarães
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Machine learning techniques applied to the drug design and discovery of new antivirals: a brief look over the past decade
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Computer Methods and Programs in Biomedicine.
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DOI ↗43 citations
COVID-19 Mortality in Brazil, 2020-21: Consequences of the pandemic inadequate management
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DOI ↗4 citations
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DOI ↗3 citations
Quantification of the robustness of functional neural networks: application to the characterization of Alzheimer’s disease continuum
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DOI ↗2 citations
ESPAÇO E COVID-19:
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DOI ↗
Study of links between people in urban areas based on mobility data for the city of São Paulo
Matheus de Moraes Gonçalves Correia, Jéssica Domingues Lamosa, Vander L. S. Freitas et al. (2023)
DOI ↗
Large Scale Data Analysis with Application to Computational Epidemiology and Network Science
Fariba Afrin Irany (2024)
DOI ↗
Vander L. S. Freitas, Gladston Moreira, Leonardo Bacelar Lima Santos, H Barbosa, M Barthelemy, G Ghoshal, C James, M Lenormand, T Louail, R Menezes, J Ramasco, F Simini, M Tomasini, M Barthlemy, D Callaway, M Newman, S Strogatz, D Watts, R Cohen, K Erez, D Ben-Avraham, S Havlin, W Cota, V Freitas, T Konstantyner, J Mendes, C Sepetauskas, L Santos, J Gaskell, G Stoker, P Guimares, D Muniz, L Giacobelli, K Maia, M Gaiarsa, A Assis, P Santana, E Santana, I Birskis-Barros, L Medeiros, V Burin, G Marquitti, F Dttilo, W Cantor, M Lemos-Costa, P Raimundo, R Andreazzi, C Pires, M Crtes, M Migon, E, R Haffajee, M Mello, P Hallal, F Hartwig, B Horta, G Victora, M Silveira, C Struchiner, L Vidaletti, N Neumann, L Pellanda, O Dellagostin, M Burattini, A Menezes, F Barros, A Barros, C Victora, S Iyer, T Killingback, B Sundaram, Z Wang, Y Kim, S Oh, C Wang, Q Li, X Guan, P Wu, X Wang, L Zhou, Y Tong, R Ren, K Leung, E Lau, J Wong, R Li, S Pei, B Chen, Y Song, T Zhang, W Yang, J Shaman, L Santos, L Carvalho, W Seron, F Coelho, E Macau, M Quiles, A Monteiro, L Santos
Peer Review #2 of "Robustness analysis in an inter-cities mobility network: modeling municipal, state and federal initiatives as failures and attacks toward SARS-CoV-2 containment (v0.1)"
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DOI ↗22 citations
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DOI ↗12 citations
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DOI ↗
Vander L. S. Freitas, Serhiy Yanchuk, Michael A. Zaks, Elbert E. N. Macau
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Automated COVID-19 screening framework via Deep Convolutional Neural Network with Chest X-ray Medical Images
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Front Matter
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Leonardo Augusto Ferreira, Frederico Gadelha Guimarães, Rodrigo Silva
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Deep-Learning-Based COVID-19 Detection: Challenges and Future Directions
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Aspectos espacial e temporal e fatores associados à interiorização da Covid-19 em Pernambuco, Brasil
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Casos confirmados do novo coronavírus: interiorização da doença em um município de Minas Gerais / Confirmed cases of new coronavirus: interiorization of the disease in a city in Minas Gerais
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DOI ↗
Vander L. S. Freitas, Thais Cláudia Roma de Oliveira Konstantyner, Jeferson Feitosa Mendes, Cátia Souza do Nascimento Sepetauskas, Leonardo Bacelar Lima Santos
The correspondence between the structure of the terrestrial mobility network and the spreading of COVID-19 in Brazil
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5 - Pandemia de Covid-19: o processo de interiorização e aceleração da transmissão no país
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Time Series Forecasting of COVID-19 Cases in Brazil with GNN and Mobility Networks
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Quantifying Mobility Perturbation in America’s Cities during COVID-19: A Network-Based Approach
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DOI ↗
Peer Review #2 of "Robustness analysis in an inter-cities mobility network: modeling municipal, state and federal initiatives as failures and attacks toward SARS-CoV-2 containment (v0.1)"
Vander L. S. Freitas, Gladston Moreira, Leonardo Bacelar Lima Santos et al. (2020)
DOI ↗
Explainable COVID-19 Detection Using Chest CT Scans and Deep Learning
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Multi-Objective Reinforcement Learning Algorithm for Irregular Spatial Clusters Detection
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DOI ↗
Gabriel Peres Nobre, Jussara M. Almeida, Carlos H. G. Ferreira
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Pedro Silva, Eduardo Luz, Gladston Moreira, Lauro Moraes, David Menotti
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(2021)
DOI ↗
Deep Models for Improving the Performance and Reliability of Person Recognition
Sobhan Soleymani (2021)
DOI ↗
Peer Review #1 of "A deep descriptor for cross-tasking EEG-based recognition (v0.1)"
(2021)
DOI ↗
Petrônio Cândido de Lima e Silva, Carlos Alberto Severiano Júnior, Marcos Antônio Alves, Rodrigo Silva, Gustavo Linhares Vieira, Patrícia de Oliveira e Lucas, Hossein Javedani Sadaei, Frederico Gadelha Guimarães
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A systematic review of Python packages for time series analysis
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Dênis Ricardo Xavier de Oliveira, Gladston Moreira, Anderson Ribeiro Duarte, André L. F. Cançado, Eduardo Luz
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Reinforcement Learning for the Detection of Arbitrary Shaped Spatial Clusters
Dênis Oliveira, Anderson Ribeiro Duarte, Eduardo Luz et al. (2024)
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Multi-Objective Reinforcement Learning Algorithm for Irregular Spatial Clusters Detection
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Space Layout Simulation of Assembled Nanoarchitecture Based on Improved Particle Swarm Optimization
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Ricardo Fonseca Couto, Luiz H. Duczmal, Denise Burgarelli, Felipe Álvares, Gladston Moreira
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Comparative Analysis of QRS Detection Algorithms: A Study on Accuracy and Processing Speed in Raspberry Pi Single-Board Computer
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A Deep Learning Iris Recognition Method Based on Capsule Network Architecture
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