Michel Fornaciali

According to our database, Michel Fornaciali authored at least 10 papers between 2014 and 2020.

Collaborative distances:

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

2020

Data, depth, and design: Learning reliable models for skin lesion analysis.

Eduardo Valle, Michel Fornaciali, Afonso Menegola, Julia Tavares, Flávia Vasques Bittencourt, Lin Tzy Li, Sandra Avila

Neurocomputing, 2020

2019

GeoSES - um Índice Socioeconômico para Estudos de Saúde no Brasil.

Ligia Vizeu Barrozo, Michel Fornaciali, Carmen Diva Saldiva de André, Guilherme Augusto Zimeo Morais, Giselle Mansur, William Cabral-Miranda, João Ricardo Sato, Edson Amaro Júnior

CoRR, 2019

(De)Constructing Bias on Skin Lesion Datasets.

Alceu Bissoto, Michel Fornaciali, Eduardo Valle, Sandra Avila

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

2018

Deep-Learning Ensembles for Skin-Lesion Segmentation, Analysis, Classification: RECOD Titans at ISIC Challenge 2018.

Alceu Bissoto, Fábio Perez, Vinícius Ribeiro, Michel Fornaciali, Sandra Avila, Eduardo Valle

CoRR, 2018

2017

Data, Depth, and Design: Learning Reliable Models for Melanoma Screening.

Eduardo Valle, Michel Fornaciali, Afonso Menegola, Julia Tavares, Flávia Vasques Bittencourt, Lin Tzy Li, Sandra Avila

CoRR, 2017

RECOD Titans at ISIC Challenge 2017.

Afonso Menegola, Julia Tavares, Michel Fornaciali, Lin Tzy Li, Sandra Eliza Fontes de Avila, Eduardo Valle

CoRR, 2017

Knowledge transfer for melanoma screening with deep learning.

Afonso Menegola, Michel Fornaciali, Ramon Pires, Flávia Vasques Bittencourt, Sandra Avila, Eduardo Valle

Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

2016

Towards Automated Melanoma Screening: Exploring Transfer Learning Schemes.

Afonso Menegola, Michel Fornaciali, Ramon Pires, Sandra Eliza Fontes de Avila, Eduardo Valle

CoRR, 2016

Towards Automated Melanoma Screening: Proper Computer Vision & Reliable Results.

Michel Fornaciali, Micael Carvalho, Flávia Vasques Bittencourt, Sandra Eliza Fontes de Avila, Eduardo Valle

CoRR, 2016

2014

Statistical Learning Approach for Robust Melanoma Screening.

Michel Fornaciali, Sandra Eliza Fontes de Avila, Micael Carvalho, Eduardo Valle

Proceedings of the 27th SIBGRAPI Conference on Graphics, Patterns and Images, 2014