| A Dataset for Breast Cancer Histopathological Image Classification F Spanhol, L Oliveira, C Petitjean, L Heutte IEEE 63, 1455-1462, 2016 | 1699 | 2016 |
| Breast Cancer Histopathological Image Classification using Convolutional Neural Networks FA Spanhol, LS Oliveira, C Petitjean, L Heutte 2016 International Joint Conference on Neural Networks (IJCNN), 2560-2567, 2016 | 1165 | 2016 |
| Multiple instance learning for histopathological breast cancer image classification PJ Sudharshan, C Petitjean, F Spanhol, LE Oliveira, L Heutte, P Honeine Expert Systems with Applications 117, 103-111, 2019 | 428 | 2019 |
| Deep Features for Breast Cancer Histopathological Image Classification FA Spanhol, PR Cavalin, LS Oliveira, C Petitjean, L Heutte 2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 0 | 382* | |
| Low-cost water quality sensors for IoT: A systematic review ET de Camargo, FA Spanhol, JS Slongo, MVR da Silva, J Pazinato, ... Sensors 23 (9), 4424, 2023 | 49 | 2023 |
| Gerenciamento de projetos R Candido, AA Gnoatto, CG Caldana, D Setti, FA Spanhol, F Schütz, ... Aymará Educação, 2012 | 43 | 2012 |
| Deployment of a LoRaWAN network and evaluation of tracking devices in the context of smart cities ET de Camargo, FA Spanhol, ÁR Castro e Souza Journal of Internet Services and Applications 12, 1-24, 2021 | 32 | 2021 |
| Allele frequencies of 15 STRs in a representative sample of the Brazilian population L de Assis Poiares, P de Sa Osorio, FA Spanhol, SC Coltre, ... Forensic science international: genetics 4 (2), e61-e63, 2010 | 27 | 2010 |
| Automatic breast cancer classification from histopathological images: a hybrid approach FA Spanhol Curitiba: Universidade Federal do Paraná, 2018 | 12 | 2018 |
| Implantaçao e avaliaçao de uma rede sem-fio de longo alcance e baixa potência para cidades inteligentes J Rossato, FA Spanhol, ET de Camargo Anais do IV Workshop de Computaçao Urbana, 192-205, 2020 | 10 | 2020 |
| Evaluation of low-cost sensors for real-time water quality monitoring FN de Camargo Xavier, LD Martins, MS Oyamada, FA Spanhol, ... Anais Estendidos do XII Simpósio Brasileiro de Engenharia de Sistemas …, 2022 | 6 | 2022 |
| A machine learning-based approach to calibrate low-cost particulate matter sensors AF Pastório, FA Spanhol, LD Martins, ET de Camargo 2022 XII Brazilian Symposium on Computing Systems Engineering (SBESC), 1-8, 2022 | 4 | 2022 |
| Avaliaçao de dispositivos de rastreamento em uma rede lorawan no contexto de cidades inteligentes MVR da Silva, JE de Souza, TVO Almeida, ÁRCE Souza, FA Spanhol, ... Anais do IV Workshop de Computação Urbana, 1-14, 2020 | 4 | 2020 |
| 15 STR loci frequencies in the population from Parana, Southern Brazil L de Assis Poiares, P de Sa Osorio, FA Spanhol, SC Coltre, ... Forensic Science International: Genetics 4 (1), e23-e24, 2009 | 4 | 2009 |
| 2 Fundamentos de LoRaWAN–Teoria e Prática AF Pastório, J Rossato, J Sá, FA Spanhol, LA Rodrigues, ET Camargo Sociedade Brasileira de Computação, 2021 | 3 | 2021 |
| Em Busca de um Algoritmo de Retransmissão em Redes LoRaWAN TVO Almeida, JP Pastório, ARC Souza, FA Spanhol, ET de Camargo Workshop de Computação Urbana (CoUrb), 70-83, 2021 | 3 | 2021 |
| Evaluation of low-cost sensors to integrate in a water quality monitor for real-time measurements J Slongo, C Lindino, LD Martins, FA Spanhol, E Carneiro, ET Camargo Environmental Monitoring and Assessment 196 (8), 716, 2024 | 1 | 2024 |
| Avaliação do impacto da temperatura e umidade em sensores de baixo custo de material particulado AF Pastório, FA Spanhol, LD Martins, ET de Camargo Workshop de Computação Urbana (CoUrb), 168-181, 2022 | 1 | 2022 |
| A multi low-cost sensors analysis for remote and real-time water quality monitoring system J Slongo, CA Lindino, LD Martins, FA Spanhol, E Carneiro, ET Camargo | | 2024 |
| ALR-LoRaWAN: An Application-Level Retransmission Management Algorithm for LoRaWAN Networks J Pastório, ÁR Castro e Souza, F Spanhol, A Huff, ET De Camargo Proceedings of the 12th Latin-American Symposium on Dependable and Secure …, 2023 | | 2023 |
Laurent HEUTTEProfessor of Computer Science, LITIS lab, University of Rouen, France在 univ-rouen.fr 的电子邮件经过验证