Marcos Vinicius Naves Bedo
Marcos Vinicius Naves Bedo
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Techniques for effective and efficient fire detection from social media images
M Bedo, G Blanco, W Oliveira, M Cazzolato, A Costa, J Rodrigues, ...
arXiv preprint arXiv:1506.03844, 2015
Endowing a content-based medical image retrieval system with perceptual similarity using ensemble strategy
MVN Bedo, DP dos Santos, M Ponciano-Silva, PM de Azevedo-Marques, ...
Journal of digital imaging 29 (1), 22-37, 2016
Does a CBIR system really impact decisions of physicians in a clinical environment?
M Ponciano-Silva, JP Souza, PH Bugatti, MVN Bedo, DS Kaster, ...
Proceedings of the 26th IEEE International Symposium on Computer-Based …, 2013
A label-scaled similarity measure for content-based image retrieval
G Blanco, MVN Bedo, MT Cazzolato, LFD Santos, AES Jorge, C Traina, ...
2016 IEEE international symposium on multimedia (ISM), 20-25, 2016
A superpixel-driven deep learning approach for the analysis of dermatological wounds
G Blanco, AJM Traina, C Traina Jr, PM Azevedo-Marques, AES Jorge, ...
Computer methods and programs in biomedicine 183, 105079, 2020
Seamless integration of distance functions and feature vectors for similarity-queries processing
C Traina Jr, AJM Traina, MVN Bedo
Journal of Information and Data Management 5 (3), 308-308, 2014
A Practical Roadmap for Provenance Capture and Data Analysis in Spark-based Scientific Workflows
T Guedes, V Silva, M Mattoso, MVN Bedo, D de Oliveira
2018 IEEE/ACM Workflows in Support of Large-Scale Science (WORKS), 31-41, 2018
MAMMOSET: An enhanced dataset of mammograms
PH Oliveira, LC Scabora, MT Cazzolato, MVN Bedo, AJM Traina, ...
Proc. Satellite Events 32nd Brazilian Symp. Databases, 256-266, 2017
Higiia: A perceptual medical cbir system applied to mammography classification
M Bedo, M Ponciano-Silva, D Kaster, P Bugatti, A Traina, C Traina Jr
Demo and Applications Session-Symposium on Databases, 2012
Capturing and analyzing provenance from spark-based scientific workflows with SAMbA-RaP
T Guedes, LB Martins, MLF Falci, V Silva, KACS Ocaña, M Mattoso, ...
Future Generation Computer Systems 112, 658-669, 2020
Unveiling smoke in social images with the SmokeBlock approach
MT Cazzolato, MVN Bedo, AF Costa, JA de Souza, C Traina Jr, ...
Proceedings of the 31st Annual ACM Symposium on Applied Computing, 49-54, 2016
Fire detection from social media images by means of instance-based learning
MVN Bedo, WD de Oliveira, MT Cazzolato, AF Costa, G Blanco, ...
International Conference on Enterprise Information Systems, 23-44, 2015
A Two-Phase Learning Approach for the Segmentation of Dermatological Wounds
WS Silva, DL Jasbick, RE Wilson, PM Azevedo-Marques, AJM Traina, ...
2019 IEEE 32nd International Symposium on Computer-Based Medical Systems …, 2019
Exploring Diversified Similarity with Kundaha
LFD Santos, G Blanco, D Oliveira, AJM Traina, C Traina Jr, MVN Bedo
Proceedings of the 27th ACM International Conference on Information and …, 2018
Color and texture influence on computer-aided diagnosis of dermatological ulcers
MVN Bedo, LFD Santos, WD Oliveira, G Blanco, AJM Traina, MA Frade, ...
2015 IEEE 28th International Symposium on Computer-Based Medical Systems …, 2015
MSSF: A step towards user-friendly multi-cloud data dispersal
RMDO Libardi, MVN Bedo, S Reiff-Marganiec, JC Estrella
2014 IEEE 7th International Conference on Cloud Computing, 952-953, 2014
A perceptual medical cbir system applied to mammography classification
MVN Bedo, M Ponciano-Silva, D Kaster, PH Buggati, AJM Traina, ...
Demo and Applications Session of the XXVII SBBD, 2012
Making content-based medical image retrieval systems worth for computer-aided diagnosis: from theory to application
AJM Traina, MVN Bedo, LFD Santos
Medical image analysis and informatics computer-aided diagnosis and therapy., 2017
Being similar is not enough: How to bridge usability gap through diversity in medical images
LFD Santos, MVN Bedo, M Ponciano-Silva, AJM Traina, C Traina
2014 IEEE 27th International Symposium on Computer-Based Medical Systems …, 2014
A k–Skyband Approach for Feature Selection
M Bedo, P Ciaccia, D Martinenghi, D de Oliveira
International Conference on Similarity Search and Applications, 160-168, 2019
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