Larissa F. Rodrigues Moreira

Orcid: 0000-0001-8947-9182

Affiliations:
  • Federal University of Uberlândia, UFU, Faculty of Computing, FACOM, Minas Gerais, Brazil
  • Federal University of Viçosa, UFV, Institute of Exact and Technological Sciences, Rio Paranaíba, Brazil


According to our database1, Larissa F. Rodrigues Moreira authored at least 52 papers between 2017 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
PRISM: Perinuclear Ring-based Image Segmentation Method for Acute Lymphoblastic Leukemia Classification.
CoRR, May, 2026

An Intelligent eUPF for Time-Sensitive Path Selection in B5G Edge Networks.
CoRR, May, 2026

Evaluating Temporal and Structural Anomaly Detection Paradigms for DDoS Traffic.
CoRR, April, 2026

Asynchronous Probability Ensembling for Federated Disaster Detection.
CoRR, April, 2026

TRACE: Traceroute-based Internet Route change Analysis with Ensemble Learning.
CoRR, April, 2026

NeuroScaler: Towards Energy-Optimal Autoscaling for Container-Based Services.
CoRR, February, 2026

AGORA: Agentic Green Orchestration Architecture for Beyond 5G Networks.
IEEE Access, 2026

Generalizable Hyperparameter Optimization for Federated Learning on Non-IID Cancer Images.
Proceedings of the 21st International Conference on Computer Vision Theory and Applications, 2026

Exploiting Test-Time Augmentation in Federated Learning for Brain Tumor MRI Classification.
Proceedings of the 21st International Conference on Computer Vision Theory and Applications, 2026

Energy-Aware Ensemble Learning for Coffee Leaf Disease Classification.
Proceedings of the 23rd Consumer Communications & Networking Conference, 2026

Noisy Neighbor Influence in the Data Plane of Beyond 5G Networks.
Proceedings of the 23rd Consumer Communications & Networking Conference, 2026

2025
Evaluating multiple combinations of models and encoders to enhance LDCT images.
Signal Image Video Process., November, 2025

Performance Evaluation and Threat Mitigation in Large-scale 5G Core Deployment.
CoRR, July, 2025

Optimizing Edge Gaming Slices through an Enhanced User Plane Function and Analytics in Beyond-5G Networks.
CoRR, July, 2025

Programming in Brazilian Higher Education and High School: A Systematic Literature Review.
CoRR, January, 2025

Medical Image Classification with Privacy: Centralized and Federated Learning Comparison.
RITA, 2025

A Novel Brazilian Dataset for Automatic Detection of Psyllid Attacksin Guava.
RITA, 2025

Preprocessing and Optimizer impact on Image-Based Autoimmune Disease Diagnosis.
RITA, 2025

Data Augmentation and Convolutional Network Architecture Influence on Distributed Learning.
RITA, 2025

Classification of Agricultural Pests Through Digital Images Using Deep Learning.
RITA, 2025

Federated Learning in Breast Cancer Diagnosis.
RITA, 2025

Correction: Ensemble of Handcrafted and Learned Features for Colorectal Cancer Classification.
J. Imaging Inform. Medicine, 2025

Deep learning based image classification for embedded devices: A systematic review.
Neurocomputing, 2025

Forecasting Bitcoin Price With Neural and Statistical Models Across Different Time Granularities.
IEEE Access, 2025

Unleashing AI-Empowered Slices on Mobile Networks for Natively Cognitive Service Delivery.
IEEE Access, 2025

Breast Cancer Image Classification Using Deep Learning and Test-Time Augmentation.
Proceedings of the 20th International Joint Conference on Computer Vision, 2025

Leveraging Infrastructure Monitoring for User Experience Forecasting in Container-Based 5G Core.
Proceedings of the Joint European Conference on Networks and Communications & 6G Summit, 2025

Estimating Application Performance in Container-Based Environments: A Cross-Domain Monitoring Approach.
Proceedings of the Advanced Information Networking and Applications, 2025

2024
Evaluating Convolutional Neural Networks for COVID-19 classification in chest X-ray images.
CoRR, 2024

Improving the network traffic classification using the Packet Vision approach.
CoRR, 2024

Improving Sickle Cell Disease Classification: A Fusion of Conventional Classifiers, Segmented Images, and Convolutional Neural Networks.
CoRR, 2024

Towards Cognitive Service Delivery on B5G through AIaaS Architecture.
CoRR, 2024

Inspiring Women in Technology: Educational Pathways and Impact.
CoRR, 2024

Resource Allocation Influence on Application Performance in Sliced Testbeds.
CoRR, 2024

On Enhancing Network Throughput using Reinforcement Learning in Sliced Testbeds.
CoRR, 2024

A Low-cost IoT Architecture to support Urban Mobility for Visually Impaired People.
CoRR, 2024

Evaluating the Potential of Federated Learning for Maize Leaf Disease Prediction.
CoRR, 2024

An Approach Based on LiDAR and Spherical Images for Automated Vegetation Inspection in Urban Power Distribution Lines.
IEEE Access, 2024

Optimization and Learning Rate Influence on Breast Cancer Image Classification.
Proceedings of the 19th International Joint Conference on Computer Vision, 2024

Enabling Water Management System for Agriculture Using a Low Cost Approach.
Proceedings of the XIV Brazilian Symposium on Computing Systems Engineering, 2024

Anomaly Detection Employing a 5G Core Data Analytics Framework.
Proceedings of the 13th IEEE International Conference on Cloud Networking, 2024

Enabling Intelligence on Edge Through an Artificial Intelligence as a Service Architecture.
Proceedings of the 13th IEEE International Conference on Cloud Networking, 2024

Maximizing the Power of Cognitive Services with an AI-as-a-Service Architecture for Seamless Delivery.
Proceedings of the 13th IEEE International Conference on Cloud Networking, 2024

2023
An intelligent network monitoring approach for online classification of Darknet traffic.
Comput. Electr. Eng., September, 2023

An Artificial Intelligence-as-a-Service Architecture for deep learning model embodiment on low-cost devices: A case study of COVID-19 diagnosis.
Appl. Soft Comput., February, 2023

2022
Optimizing a Deep Residual Neural Network with Genetic Algorithm for Acute Lymphoblastic Leukemia Classification.
J. Digit. Imaging, 2022

AgroLens: A low-cost and green-friendly Smart Farm Architecture to support real-time leaf disease diagnostics.
Internet Things, 2022

VINEVI: A Virtualized Network Vision Architecture for Smart Monitoring of Heterogeneous Applications and Infrastructures.
Proceedings of the Advanced Information Networking and Applications, 2022

2021
Enhancing dynamism in management and network slice establishment through deep learning.
Proceedings of the International Conference on Information Networking, 2021

2020
Comparing convolutional neural networks and preprocessing techniques for HEp-2 cell classification in immunofluorescence images.
Comput. Biol. Medicine, 2020

Packet Vision: a convolutional neural network approach for network traffic classification.
Proceedings of the 33rd SIBGRAPI Conference on Graphics, Patterns and Images, 2020

2017
Exploiting Convolutional Neural Networks and Preprocessing Techniques for HEp-2 Cell Classification in Immunofluorescence Images.
Proceedings of the 30th SIBGRAPI Conference on Graphics, Patterns and Images, 2017


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