Fabio A. Spanhol

According to our database, Fabio A. Spanhol authored at least 8 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2023

Low-Cost Water Quality Sensors for IoT: A Systematic Review.

Edson Tavares de Camargo, Fabio Alexandre Spanhol, Juliano Scholz Slongo, Marcos Vinicius Rocha da Silva, Jaqueline Pazinato, Adriana Vechai de Lima Lobo, Fábio Rizental Coutinho, Felipe Walter Dafico Pfrimer, Cleber Antonio Lindino, Márcio Seiji Oyamada, Leila Droprinchinski Martins

Sensors, 2023

ALR-LoRaWAN: An Application-Level Retransmission Management Algorithm for LoRaWAN Networks.

João Pastório, Álvaro Ricieri Castro e Souza, Fabio A. Spanhol, Alexandre Huff, Edson Tavares de Camargo

Proceedings of the 12th Latin-American Symposium on Dependable and Secure Computing, 2023

2022

A Machine Learning-Based Approach to Calibrate Low-Cost Particulate Matter Sensors.

André F. Pastório, Fabio A. Spanhol, Leila Droprinchinski Martins, Edson Tavares de Camargo

Proceedings of the XII Brazilian Symposium on Computing Systems Engineering, 2022

2021

Deployment of a LoRaWAN network and evaluation of tracking devices in the context of smart cities.

Edson Tavares de Camargo, Fabio Alexandre Spanhol, Álvaro Ricieri Castro e Souza

J. Internet Serv. Appl., 2021

2019

Multiple instance learning for histopathological breast cancer image classification.

P. J. Sudharshan, Caroline Petitjean, Fabio A. Spanhol, Luiz Eduardo Soares de Oliveira, Laurent Heutte, Paul Honeine

Expert Syst. Appl., 2019

2017

Deep features for breast cancer histopathological image classification.

Fabio A. Spanhol, Luiz S. Oliveira, Paulo R. Cavalin, Caroline Petitjean, Laurent Heutte

Proceedings of the 2017 IEEE International Conference on Systems, Man, and Cybernetics, 2017

2016

A Dataset for Breast Cancer Histopathological Image Classification.

Fabio A. Spanhol, Luiz S. Oliveira, Caroline Petitjean, Laurent Heutte

IEEE Trans. Biomed. Eng., 2016

Breast cancer histopathological image classification using Convolutional Neural Networks.

Fabio Alexandre Spanhol, Luiz S. Oliveira, Caroline Petitjean, Laurent Heutte

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016