Borges, A. L. d. S., Rodrigues Moreira, L. F., Silva, L. H. F. P. & Mari, J. F. Evaluating Preprocessing and Data Augmentation for Soybean Leaf Pest Classification with Deep Learning. Revista de Informática Teórica e Aplicada 33, 185–192 [DOI]

Ferreira Rodrigues Moreira, L. & Backes, A. R. Ensemble of Handcrafted and Learned Features using a Lightweight CNN for Colorectal Cancer Classification. Revista de Informática Teórica e Aplicada 33, 326–332 [DOI]

Gomes Ribeiro, A. E. & Rodrigues Moreira, L. F. Profile Identification on Social Media Using Artificial Intelligence Techniques for Textual Similarity. Revista de Informática Teórica e Aplicada 33, 59–70 [DOI]

Gonçalves Vieira, V. et al. Federated Semantic Segmentation of Synthetic UAV Imagery under Non-IID Conditions. Revista de Informática Teórica e Aplicada 33, 178–184 [DOI]

Moreira, R., Rodrigues Moreira, L. F., Peixoto, M. & Silva, F. D. O. AGORA: Agentic Green Orchestration Architecture for Beyond 5G Networks. IEEE Access, 1–1 [DOI]

Ribeiro Gonçalves, E., Teixeira Martins, E., Moreira, R. & Ferreira Rodrigues Moreira, L. Federated Learning on Non-IID Environmental Images for Enhanced Wildfire Surveillance. Revista de Informática Teórica e Aplicada 33, 318–325 [DOI]

Rodrigues, L. G. F., Rodrigues Moreira, L. F., Moreira, R. & Backes, A. R. PSO-based Client Selection to Improve Medical Image Classification in Federated Learning. Revista de Informática Teórica e Aplicada 33, 333–340 [DOI]

Rodrigues Moreira, L. F., Moreira, R. & Rodrigues, L. G. F. Multi-view deep fusion for forensic dental age estimation in tomographic imaging. International Journal of Legal Medicine [DOI]

Barbosa, G. V. G., Rodrigues, L. G. F., Rodrigues Moreira, L. F. & Backes, A. R. Federated Learning in Breast Cancer Diagnosis. Revista de Informática Teórica e Aplicada 32, 173–179 [DOI]

Carmo, N. C. d., Rodrigues Moreira, L. F. & Backes, A. R. Evaluating multiple combinations of models and encoders to enhance LDCT images. Signal, Image and Video Processing 19, 891 [DOI]

De Oliveira Costa, P. L., de Oliveira Costa, T. M., Rodrigues Moreira, L. F., Furtado Pinto Silva, L. H. & Mari, J. F. Classification of Agricultural Pests Through Digital Images Using Deep Learning. Revista de Informática Teórica e Aplicada 32, 18–25 [DOI]

Forattini Jansen, V. et al. Data Augmentation and Convolutional Network Architecture Influence on Distributed Learning. Revista de Informática Teórica e Aplicada 32, 54–60 [DOI]

Magalhães de Mesquita, I., Ferreira Rodrigues Moreira, L., da Silva Nunes, R. & Cavalcante de Paula Júnior, I. A Novel Brazilian Dataset for Automatic Detection of Psyllid Attacksin Guava. Revista de Informática Teórica e Aplicada 32, 151–157 [DOI]

Moreira, R., Rodrigues Moreira, L. F. & Silva, F. D. O. Unleashing AI-empowered Slices on Mobile Networks for Natively Cognitive Service Delivery. IEEE Access, 1–1 [DOI]

Pereira, D. P., Moreira, R. & Rodrigues Moreira, L. F. Forecasting Bitcoin Price with Neural and Statistical Models across Different Time Granularities. IEEE Access, 1–1 [DOI]

Rodrigues, L. G. F., V. Gomes Barbosa, G., Moreira, R., Rodrigues Moreira, L. F. & Backes, A. R. Medical Image Classification with Privacy: Centralized and Federated Learning Comparison. Revista de Informática Teórica e Aplicada 32, 180–187 [DOI]

Rodrigues Moreira, L. F. & Backes, A. R. Ensemble of Handcrafted and Learned Features for Colorectal Cancer Classification. Journal of Imaging Informatics in Medicine [DOI]

Rodrigues Moreira, L. F., Moreira, R., Travençolo, B. A. N. & Backes, A. R. Deep learning based image classification for embedded devices: A systematic review. Neurocomputing 623, 129402 [DOI]

Souto de Lima, J. V., Marinho e Silva, R., Moreira, R. & Rodrigues Moreira, L. F. Preprocessing and Optimizer impact on Image-Based Autoimmune Disease Diagnosis. Revista de Informática Teórica e Aplicada 32, 33–39 [DOI]

Bergmann, M. A. et al. An Approach Based on LiDAR and Spherical Images for Automated Vegetation Inspection in Urban Power Distribution Lines. IEEE Access 12, 105119–105130 [DOI]

Moreira, R., Rodrigues Moreira, L. F. & de Oliveira Silva, F. Brazilian Selic Rate Forecasting with Deep Neural Networks. Computational Economics [DOI]

Moreira, R., Rodrigues Moreira, L. F. & de Oliveira Silva, F. An intelligent network monitoring approach for online classification of Darknet traffic. Computers and Electrical Engineering 110, 108852 (2023)

Rodrigues Moreira, L. F., Moreira, R., Travençolo, B. A. N. & Backes, A. R. An Artificial Intelligence-as-a-Service Architecture for deep learning model embodiment on low-cost devices: A case study of COVID-19 diagnosis. Applied Soft Computing 134, 110014 [DOI]

Moreira, R., Rodrigues Moreira, L. F., Munhoz, P. L. A., Lopes, E. A. & Ruas, R. A. A. AgroLens: A low-cost and green-friendly Smart Farm Architecture to support real-time leaf disease diagnostics. Internet of Things 19, 100570 [DOI]

Rodrigues, L. F., Backes, A. R., Travençolo, B. A. N. & de Oliveira, G. M. B. Optimizing a Deep Residual Neural Network with Genetic Algorithm for Acute Lymphoblastic Leukemia Classification. Journal of Digital Imaging 35, 623–637 [DOI]

Rodrigues de Oliveira Neto, R. et al. Automatic identification of charcoal origin based on deep learning. en. Maderas. Ciencia y Tecnologia 23 [DOI]

Rodrigues, L. F., Naldi, M. C. & Mari, J. F. Comparing convolutional neural networks and preprocessing techniques for HEp-2 cell classification in immunofluorescence images. Computers in Biology and Medicine 116, 103542 [DOI]

Alves, I. L. R., Silva, W. H., Vinhal Nunes, G., Rodrigues, L. F. & Godoi, P. N. A. Aplicação web para apoiar as atividades extensionistas da Escola de Música “O Som do Cerrado”. Revista UFG 19 [DOI]

Silva, P. L. et al. Bases Cartográficas para Municípios de Pequeno Porte geradas por Informação Geográfica Voluntária. Revista Brasileira de Cartografia 70, 1664–1685 [DOI]

Nunes, M. M., Rodrigues, L. F., Martinhago, A. Z., Soares, L. S. & Reis, R. C. D. Meninas++: uma iniciativa para fomentar a participação feminina na área de computação. Tecnologias, Sociedade e Conhecimento 3, 58–78 [DOI]

Moreira, R., Rodrigues Moreira, L. F., Carvalho, T. C. & de Oliveira Silva, F. Noisy Neighbor Influence in the Data Plane of Beyond 5G Networks. 2026 IEEE 23rd Consumer Communications & Networking Conference (CCNC), 1–6 [DOI]

Rodrigues Moreira, L. F., Moreira, R. & Ferreira Rodrigues, L. G. Energy-Aware Ensemble Learning for Coffee Leaf Disease Classification. 2026 IEEE 23rd Consumer Communications & Networking Conference (CCNC), 1–6 [DOI]

Martins, E. T. et al. Asynchronous Probability Ensembling for Federated Disaster Detection in Proceedings of the 31st IEEE Symposium on Computers and Communications (ISCC) (IEEE, Vilamoura, Algarve, 2026), 1

Melo, T., Moreira, R., Moreira, L. & Backes, A. Exploiting Test-Time Augmentation in Federated Learning for Brain Tumor MRI Classification in Proceedings of the 21st International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP (SciTePress, 2026), 148–156 [DOI]

Moreira, R., Moreira, L. F. R., Carvalho, T. C. & Silva, F. d. O. An Intelligent eUPF for Time-Sensitive Path Selection in B5G Edge Networks in Computational Science and Its Applications – ICCSA 2026 (eds Gervasi, O. et al.) (Springer Nature Switzerland, Cham, 2026), 432–446

Ribeiro, E., Moreira, R., Moreira, L. & Backes, A. Generalizable Hyperparameter Optimization for Federated Learning on Non-IID Cancer Images in Proceedings of the 21st International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP (SciTePress, 2026), 485–492 [DOI]

Rodrigues Moreira, L. F., Rodrigues, L. G., Moreira, R. & Backes, A. R. PRISM: Perinuclear Ring- based Image Segmentation Method for Acute Lymphoblastic Leukemia Classification in Anais do XXVI Simpósio Brasileiro de Computação Aplicada à Saúde (SBC, Ouro Preto/MG, 2026), 169–180 [DOI]

Da Silva, B. M., Rodrigues Moreira, L. F., de Oliveira Silva, F. & Moreira, R. Optimizing Edge Gaming Slices through an Enhanced User Plane Function and Analytics in Beyond-5G Networks in Anais do XVI Workshop de Pesquisa Experimental da Internet do Futuro (SBC, Natal/RN, 2025), 1–8 [DOI]

Da Silva, B. M., Rodrigues Moreira, L. F., Moreira, R. & de Oliveira Silva, F. Leveraging Infrastructure Monitoring for User Experience Forecasting in Container-Based 5G Core in 2025 Joint European Conference on Networks and Communications & 6G Summit (EuCNC/6G Summit) (2025), 31–36 [DOI]

Dos Reis, M. V. D., Moreira, R., Rodrigues Moreira, L. F. & de Oliveira Silva, F. Estimating Application Performance in Container-Based Environments: A Cross-Domain Monitoring Approach in Advanced Information Networking and Applications (ed Barolli, L.) (Springer Nature Switzerland, Cham, 2025), 89–100

Ferreira, J. et al. A Study of Synthetic and Cross-Domain Real-Data Pre-Training for Aerial Farm Monitoring in 2025 38th SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI) (2025), 1–6 [DOI]

Gonçalves, S. C. L., Moreira, R., Backes, A. R., Rodrigues Moreira, L. F. & Martinhago, A. Z. Programming in Brazilian Higher Education and High School: A Systematic Literature Review in Proceedings of the 19th Latin American Conference on Learning Technologies (LACLO 2024) (eds Lliteras, A. B., Sprock, A. S. & Agredo-Delgado, V.) (Springer Nature Singapore, Singapore, 2025), 287–303 [DOI]

Machado, T. et al. Evaluation of Convolutional Neural Networks for Coffee Leaf Rust Classification in Anais do XVI Workshop de Computação Aplicada à Gestão do Meio Ambiente e Recursos Naturais (SBC, Maceió/AL, 2025), 11–20 [DOI]

Mari, J., Rodrigues Moreira, L. F., Silva, L., Escarpinati, M. & Backes, A. Breast Cancer Image Classification Using Deep Learning and Test-Time Augmentation in Proceedings of the 20th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 3: VISAPP (SciTePress, 2025), 761–768 [DOI]

Moreira, R., Rodrigues Moreira, L. F. & de Oliveira Silva, F. Performance Evaluation and Threat Mitigation in Large-scale 5G Core Deployment in Anais do XVI Workshop de Pesquisa Experimental da Internet do Futuro (SBC, Natal/RN, 2025), 9–16 [DOI]

Rodrigues Moreira, L. F., Travençolo, B. & Backes, A. Artificial Intelligence as a Service Architecture: an innovative approach for Computer Vision applications in Anais Estendidos do XLIII Simpósio Brasileiro de Redes de Computadores e Sistemas Distribuídos (SBC, Natal/RN, 2025), 162–171 [DOI]

Vilas Boas, L. F., Rodrigues, L. G. F., Marinho e Silva, R., Lima, D. & Rodrigues Moreira, L. F. AI-Driven Approach for Digital Agriculture: A Case Study on Coffee Leaf Disease in Anais do XVI Workshop de Computação Aplicada à Gestão do Meio Ambiente e Recursos Naturais (SBC, Maceió/AL, 2025), 1–10 [DOI]

Barbosa, G., Rodrigues Moreira, L. F., de Sousa, P. M., Moreira, R. & Backes, A. Optimization and Learning Rate Influence on Breast Cancer Image Classification in Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 3: VISAPP (SciTePress, Rome, Italy, 2024), 792–799 [DOI]

De Mesquita, I. M. et al. Enabling Water Management System for Agriculture Using a Low Cost Approach in 2024 XIV Brazilian Symposium on Computing Systems Engineering (SBESC) (IEEE, Recife/PE, 2024), 1–6 [DOI]

Monteiro, D., Saar, L., Rodrigues Moreira, L. F. & Moreira, R. On Enhancing Network Throughput using Reinforcement Learning in Sliced Testbeds in Anais do XV Workshop de Pesquisa Experimental da Internet do Futuro (SBC, Niterói/RJ, 2024), 1–7 [DOI]

Moreira, R., Rodrigues Moreira, L. F., Carvalho, T. & Silva, F. Resource Allocation Influence on Application Performance in Sliced Testbeds in Anais do XV Workshop de Pesquisa Experimental da Internet do Futuro (SBC, Niterói/RJ, 2024), 8–14 [DOI]

Oliveira, J. M. et al. Anomaly Detection Employing a 5G Core Data Analytics Framework in 2024 IEEE 13th International Conference on Cloud Networking (CloudNet) (IEEE CloudNet 2024) (Rio de Janeiro, Brazil, Nov. 2024), 8.61 [DOI]

Rodrigues Moreira, L. F., Moreira, R., de Oliveira Silva, F. & Backes, A. R. Towards Cognitive Service Delivery on B5G through AIaaS Architecture in Anais do IV Workshop de Redes 6G (SBC, Niterói/RJ, 2024), 1–8 [DOI]

Rodrigues Moreira, L. F., Soares, L. & Martinhago, A. Inspiring Women in Technology: Educational Pathways and Impact in Anais do XVIII Women in Information Technology (SBC, Brasília/DF, 2024), 325–330 [DOI]

Rodrigues Moreira, L. F. et al. Enabling Intelligence on edge through an Artificial Intelligence as a Service Architecture in 2024 IEEE 13th International Conference on Cloud Networking (CloudNet) (IEEE CloudNet 2024) (Rio de Janeiro, Brazil, Nov. 2024), 7.47 [DOI]

54. Rodrigues Moreira, L. F. et al. Maximizing the Power of Cognitive Services with an AI-as-a-Service Architecture for Seamless Delivery in 2024 IEEE 13th International Conference on Cloud Networking (CloudNet) (IEEE CloudNet 2024) (Rio de Janeiro, Brazil, Nov. 2024), 7.94 [DOI]

Cardoso, V., Rodrigues Moreira, L. F., Moreira, R. & Mari, J. F. Improving Sickle Cell Disease Classification: A Fusion of Conventional Classifiers, Segmented Images, and Convolutional Neural Networks in Anais do XX Encontro Nacional de Inteligência Artificial e Computacional (SBC, Belo Horizonte/MG, 2023)

Mota, G., Silva, L., Rodrigues Moreira, L. F. & Mari, J. Classifying pests in crop images using deep learning in Anais do XVIII Workshop de Visão Computacional (SBC, São Bernardo do Campo/SP, 2023), 42–47 [DOI]

Pereira Neto, R., Sousa, P., Rodrigues Moreira, L. F., God, P. & Mari, J. Enhancing green coffee quality assessment through deep learning in Anais do XVIII Workshop de Visão Computacional (SBC, São Bernardo do Campo/SP, 2023), 84–89 [DOI]

Antico, T., Rodrigues Moreira, L. F. & Moreira, R. Evaluating the Potential of Federated Learning for Maize Leaf Disease Prediction in Anais do XIX Encontro Nacional de Inteligência Artificial e Computacional (SBC, Campinas/SP, 2022), 282–293 [DOI]

Moreira, R., da Cunha, H. G. V. O., Rodrigues Moreira, L. F. & Silva, F. d. O. VINEVI: A Virtualized Network Vision Architecture for Smart Monitoring of Heterogeneous Applications and Infrastructures in Advanced Information Networking and Applications (eds Barolli, L., Hussain, F. & Enokido, T.) (Springer International Publishing, Cham, 2022), 529–541

Moreira, R., Rodrigues, L. F., Rosa, P. F., Aguiar, R. L. & Silva, F. d. O. Enhancing dynamism in management and network slice establishment through deep learning in 2021 International Conference on Information Networking (ICOIN) (2021), 321–326 [DOI]

Silva, N., Moreira, R., Rodrigues, L. F. & e Silva, R. M. A Low-cost IoT Architecture to support Urban Mobility for Visually Impaired People in Anais do XII Workshop de Pesquisa Experimental da Internet do Futuro (SBC, Uberlândia, 2021), 1–6 [DOI]

Da Rocha, E. L., Rodrigues, L. F. & Mari, J. F. Maize leaf disease classification using convolutional neural networks and hyperparameter optimization in Anais do XVI Workshop de Visão Computacional (SBC, Evento Online, 2020), 104–110 [DOI]

Da Silva, M., Rodrigues, L. F. & Mari, J. F. Optimizing data augmentation policies for convolutional neural networks based on classification of sickle cells in Anais do XVI Workshop de Visão Computacional (SBC, Evento Online, 2020), 46–51 [DOI]

Faria, L. C. d., Rodrigues, L. F. & Mari, J. F. Cell classification using handcrafted features and bag of visual words in Anais do XIV Workshop de Visão Computacional (Ilhéus, BA, Brasil, 2020)

Moreira, R., Rodrigues, L. F., Rosa, P. & Silva, F. Improving the network traffic classification using the Packet Vision approach in Anais do XVI Workshop de Visão Computacional (SBC, Evento Online, 2020), 146–151 [DOI]

Moreira, R., Rodrigues, L. F., Rosa, P. F., Aguiar, R. L. & Silva, F. d. O. Packet Vision: a convolutional neural network approach for network traffic classification in 2020 33rd SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI) (2020), 256–263 [DOI]

67. Reis, R., Rodrigues, L. F., Reis, C. & Moreira, R. Fronteira entre o uso da Eletrônica baseada em Hardware Livre e Robótica no Contexto Educacional in Anais do XXXI Simpósio Brasileiro de Informática na Educação (SBC, Online, 2020), 1833–1842 [DOI]

Rodrigues, L., Rodrigues, L. F., da Silva, D. & Mari, J. F. Evaluating Convolutional Neural Networks for COVID-19 classification in chest X-ray images in Anais do XVI Workshop de Visão Computacional (SBC, Evento Online, 2020), 52–57 [DOI]

Reis, R., Rodrigues, L. F., Munhoz, P., Lyra, K. & Isotani, S. Robótica Educacional como Método Principal de Ensino em Práticas de Programação in Anais do XXV Workshop de Informática na Escola (SBC, Brasília, 2019), 1229–1233 [DOI]

Loti, L. B. et al. Informação geográfica voluntária como fonte de dados para cartografia básica de municípios de pequeno porte. in XXVII Congresso Brasileiro de Cartografia (Rio de Janeiro, RJ, Brasil, 2017)

Rodrigues, L. F., Naldi, M. C. & Mari, J. F. Exploiting Convolutional Neural Networks and Preprocessing Techniques for HEp-2 Cell Classification in Immunofluorescence Images in 2017 30th SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI) (2017), 170–177 [DOI]

Rodrigues, L. F., Naldi, M. C. & Mari, J. F. HEp-2 Cell Image Classification Based on Convolutional Neural Networks in 2017 Workshop of Computer Vision (WVC) (2017), 13–18 [DOI]

Rodrigues, L. F., Naldi, M. C. & Mari, J. F. Morphological analysis and classification of erythrocytes in microscopy images in Workshop of Computer Vision (WVC) (Campo Grande, Brazil, 2016)

Rodrigues, L. F., Silva, J. H., Gondim, P. H. C. C. & Mari, J. F. Leukocytes classification in microscopy images for acute lymphoblastic leukemia identification in Workshop of Computer Vision (WVC) (Campo Grande, Brazil, 2016)

Nunes, M., Rodrigues, L. F., Martinhago, A., Soares, L. & Reis, R. Uma iniciativa para atrair as estudantes do ensino médio para a Área de Tecnologia da Informação in Anais do XXI Workshop de Informática na Escola (SBC, Maceió, 2015), 425–434 [DOI]