Larissa Ferreira Rodrigues

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 Ferreira Rodrigues authored at least 24 papers between 2017 and 2025.

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

Timeline

2017
2018
2019
2020
2021
2022
2023
2024
2025
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5
10
15
1
9
2
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5
1
1
1
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Legend:

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Article 
PhD thesis 
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Other 

Links

Online presence:

On csauthors.net:

Bibliography

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

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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