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 10 papers between 2017 and 2024.

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

Timeline

Legend:

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Bibliography

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