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ORCIDMarcos V. N. Bedo
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- affiliation: Fluminense Northwest Institute, INFES/UFF, Brazil
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2020 – today
- 2024
[c29]Matheus Vieira, Thiago de Oliveira, Leandro Cicco, Daniel de Oliveira, Marcos V. N. Bedo:
From Tracking Lineage to Enhancing Data Quality and Auditing: Adding Provenance Support to Data Warehouses with ProvETL. ICEIS (1) 2024: 313-320- 2023
- [j11]Marcos V. N. Bedo, João V. S. Leite, Rodolfo Alves de Oliveira, Fábio Protti
:
Geodetic convexity and kneser graphs. Appl. Math. Comput. 449: 127964 (2023) - [j10]Daniel L. Jasbick, Lúcio F. D. Santos, Paulo M. Azevedo-Marques, Agma J. M. Traina, Daniel de Oliveira, Marcos V. N. Bedo:
Pushing diversity into higher dimensions: The LID effect on diversified similarity searching. Inf. Syst. 114: 102166 (2023) - [c28]Vinícius Souza, Luiz Olmes Carvalho, Daniel de Oliveira, Marcos V. N. Bedo, Lúcio F. D. Santos:
Adding Result Diversification to kNN-Based Joins in a Map-Reduce Framework. DEXA (1) 2023: 68-83 - [c27]Letícia de Campos Lima, Lúcio F. D. Santos, Marcos V. N. Bedo, Enzo Seraphim, Luiz Olmes Carvalho:
Planos físicos de consulta para Divisão Relacional. SBBD 2023: 384-389 - 2022
- [c26]Marcos V. N. Bedo, Jonathan S. Ramos, Agma J. M. Traina, Caetano Traina, Marcello H. Nogueira-Barbosa, Paulo M. Azevedo-Marques:
Wia-Spine: A CBIR environment with embedded radiomic features to assess fragility fractures. CBMS 2022: 72-77 - [c25]Nicolas Atmatzides, Marcos V. N. Bedo, Daniel de Oliveira:
Adoção de SGBDs NoSQL em Empresas Brasileiras: um Levantamento Preliminar. SBBD 2022: 385-390 - [i3]Marcos V. N. Bedo, João V. S. Leite, Rodolfo Alves de Oliveira, Fábio Protti:
Geodetic convexity and Kneser graphs. CoRR abs/2203.03406 (2022) - 2021
- [j9]João V. O. Novaes, Lúcio F. D. Santos, Luiz Olmes Carvalho, Daniel de Oliveira, Marcos V. N. Bedo, Agma J. M. Traina, Caetano Traina Jr.:
J-EDA: A workbench for tuning similarity and diversity search parameters in content-based image retrieval. J. Inf. Data Manag. 12(2) (2021) - [j8]Camila R. Lopes, Lúcio F. D. Santos, Daniel L. Jasbick, Daniel de Oliveira, Marcos V. N. Bedo:
An empirical assessment of quality metrics for diversified similarity searching. J. Inf. Data Manag. 12(3) (2021) - [c24]Marcelo N. Almeida, Rodolfo Alves de Oliveira, Luiz Olmes Carvalho, Gustavo Silva Semaan, Daniel de Oliveira, Lúcio F. D. Santos, Marcos V. N. Bedo:
HELIX: A data-driven characterization of Brazilian land snails. SBBD 2021: 319-324 - 2020
- [j7]Gustavo Blanco, Agma J. M. Traina, Caetano Traina Jr., Paulo M. Azevedo-Marques, Ana Elisa Serafim Jorge, Daniel de Oliveira, Marcos V. N. Bedo:
A superpixel-driven deep learning approach for the analysis of dermatological wounds. Comput. Methods Programs Biomed. 183 (2020) - [j6]Thaylon Guedes, Lucas Bertelli Martins, Maria Luiza Furtuozo Falci, Vítor Silva, Kary A. C. S. Ocaña, Marta Mattoso, Marcos V. N. Bedo, Daniel de Oliveira:
Capturing and Analyzing Provenance from Spark-based Scientific Workflows with SAMbA-RaP. Future Gener. Comput. Syst. 112: 658-669 (2020) - [c23]Camila L. Lopes, Daniel L. Jasbick, Marcos V. N. Bedo, Lúcio F. D. Santos:
Quality metrics for diversified similarity searching: What they stand for? SBBD 2020: 1-12 - [c22]Renata Silva, Daniel Oliveira, Davi Pereira dos Santos, Lúcio F. D. Santos, Rodrigo Erthal Wilson, Marcos V. N. Bedo:
Criteria for choosing the number of dimensions in a principal component analysis: An empirical assessment. SBBD 2020: 145-150 - [c21]Lucas Tito, Cristina Motinha, Filipe Santiago, Kary A. C. S. Ocaña, Marcos V. N. Bedo, Daniel de Oliveira:
Xi-DL: um Sistema de Gerência de Data Lake para Monitoramento de Dados da Saúde. SBBD 2020: 151-156 - [c20]Daniel L. Jasbick, Lúcio F. D. Santos, Daniel de Oliveira, Marcos V. N. Bedo:
Some Branches May Bear Rotten Fruits: Diversity Browsing VP-Trees. SISAP 2020: 140-154
2010 – 2019
- 2019
- [c19]Wellington S. Silva, Daniel L. Jasbick, Rodrigo Erthal Wilson, Paulo M. Azevedo-Marques, Agma J. M. Traina, Lúcio F. D. Santos, Ana Elisa Serafim Jorge, Daniel de Oliveira, Marcos V. N. Bedo:
A Two-Phase Learning Approach for the Segmentation of Dermatological Wounds. CBMS 2019: 343-348 - [c18]Marcos V. N. Bedo, Paolo Ciaccia, Davide Martinenghi, Daniel de Oliveira:
A k-Skyband Approach for Feature Selection. SISAP 2019: 160-168 - [i2]Gustavo Blanco, Agma J. M. Traina, Caetano Traina Jr., Paulo M. Azevedo-Marques, Ana Elisa Serafim Jorge, Daniel de Oliveira, Marcos V. N. Bedo:
A superpixel-driven deep learning approach for the analysis of dermatological wounds. CoRR abs/1909.06264 (2019) - 2018
- [j5]Marcos V. N. Bedo, Daniel S. Kaster, Agma J. M. Traina, Caetano Traina Jr.:
The Merkurion approach for similarity searching optimization in Database Management Systems. Data Knowl. Eng. 113: 18-42 (2018) - [j4]Marcos Vinicius Naves Bedo, Daniel de Oliveira, Agma J. M. Traina, Caetano Traina Jr.:
Beyond Hit-or-Miss: A Comparative Study of Synopses for Similarity Searching. J. Inf. Data Manag. 9(1): 36-51 (2018) - [j3]Thaylon Guedes, Vítor Silva, José J. Camata, Marcos V. N. Bedo, Marta Mattoso, Daniel C. M. de Oliveira:
Towards an Empirical Evaluation of Scientific Data Indexing and Querying. J. Inf. Data Manag. 9(1): 84-93 (2018) - [c17]Lúcio F. D. Santos, Gustavo Blanco, Daniel de Oliveira, Agma J. M. Traina, Caetano Traina Jr., Marcos V. N. Bedo:
Exploring Diversified Similarity with Kundaha. CIKM 2018: 1903-1906 - [c16]Pedro Henrique Braga Siqueira, Paulo Henrique de Oliveira, Marcos Vinicius Naves Bedo, Daniel dos Santos Kaster:
Standard SQL Approaches for Similarity Searching. CLEI 2018: 472-481 - [c15]Pedro H. B. Siqueira, Paulo H. Oliveira, Marcos V. N. Bedo, Daniel S. Kaster:
What Lies Beyond Structured Data? A Comparison Study for Metric Data Storage. DEXA (2) 2018: 283-291 - [c14]Daniel L. Jasbick, Thaylon Guedes, Rodolfo Alves de Oliveira, Lúcio F. D. Santos, Daniel de Oliveira, Marcos V. N. Bedo:
VP-Viewer: keeping Track of Your Query from a Vantage Point. SBBD Companion 2018: 5-10 - [c13]Thaylon Guedes, Vítor Silva, Marcos V. N. Bedo, Marta Mattoso, Daniel de Oliveira:
Análise Online de Dados de Proveniência e de Domínio de Aplicações Spark com SAMbA. SBBD Companion 2018: 17-22 - 2017
- [c12]Marcos V. N. Bedo, Agma J. M. Traina, Caetano Traina Jr.:
A Spline-based Cost Model for Metric Trees. SBBD 2017: 28-39 - 2016
- [j2]Marcos Vinicius Naves Bedo, Davi Pereira dos Santos, Marcelo Ponciano-Silva, Paulo Mazzoncini de Azevedo Marques, André Carlos Ponce de Leon Ferreira de Carvalho, Caetano Traina Jr.:
Endowing a Content-Based Medical Image Retrieval System with Perceptual Similarity Using Ensemble Strategy. J. Digit. Imaging 29(1): 22-37 (2016) - [c11]Gustavo Blanco, Marcos Vinicius Naves Bedo, Mirela T. Cazzolato, Lúcio F. D. Santos, Ana Elisa Serafim Jorge, Caetano Traina Jr., Paulo M. Azevedo-Marques, Agma J. M. Traina:
A Label-Scaled Similarity Measure for Content-Based Image Retrieval. ISM 2016: 20-25 - [c10]Lúcio F. D. Santos, Luiz Olmes Carvalho, Marcos Vinicius Naves Bedo, Agma J. M. Traina, Caetano Traina Jr.:
When Similarity is Not Enough, Ask for Diversity: Grouping Elements Based on Influence. ISM 2016: 26-29 - [c9]Mirela T. Cazzolato, Marcos Vinicius Naves Bedo, Alceu Ferraz Costa, Jéssica Andressa de Souza, Caetano Traina Jr., José Fernando Rodrigues Jr., Agma J. M. Traina:
Unveiling smoke in social images with the SmokeBlock approach. SAC 2016: 49-54 - 2015
- [c8]Marcos Vinicius Naves Bedo, Lucio Fernandes Dutra Santos, Willian Dener de Oliveira, Gustavo Blanco, Agma Juci Machado Traina, Marco Antonio Frade, Paulo Mazzoncini de Azevedo Marques, Caetano Traina Jr.:
Color and Texture Influence on Computer-Aided Diagnosis of Dermatological Ulcers. CBMS 2015: 109-114 - [c7]Marcos Vinicius Naves Bedo, Willian Dener de Oliveira, Mirela Teixeira Cazzolato, Alceu Ferraz Costa, Gustavo Blanco, José Fernando Rodrigues Jr., Agma J. M. Traina, Caetano Traina Jr.:
Fire Detection from Social Media Images by Means of Instance-Based Learning. ICEIS (Revised Selected Papers) 2015: 23-44 - [c6]Marcos Vinicius Naves Bedo, Gustavo Blanco, Willian D. Oliveira, Mirela T. Cazzolato, Alceu Ferraz Costa, José Fernando Rodrigues Jr., Agma J. M. Traina, Caetano Traina Jr.:
Techniques for Effective and Efficient Fire Detection from Social Media Images. ICEIS (1) 2015: 34-45 - [c5]Marcos Vinicius Naves Bedo, Daniel dos Santos Kaster, Agma J. M. Traina, Caetano Traina Jr.:
Compact distance histogram: a novel structure to boost k-nearest neighbor queries. SSDBM 2015: 36:1-36:6 - [i1]Marcos Vinicius Naves Bedo, Gustavo Blanco, Willian D. Oliveira, Mirela T. Cazzolato, Alceu Ferraz Costa, José F. Rodrigues Jr., Agma J. M. Traina, Caetano Traina Jr.:
Techniques for effective and efficient fire detection from social media images. CoRR abs/1506.03844 (2015) - 2014
- [j1]Marcos Vinicius Naves Bedo, Agma J. M. Traina, Caetano Traina Jr.:
Seamless Integration of Distance Functions and Feature Vectors for Similarity-Queries Processing. J. Inf. Data Manag. 5(3): 308-320 (2014) - [c4]Rafael Mira De Oliveira Libardi, Marcos Vinicius Naves Bedo, Stephan Reiff-Marganiec, Júlio Cezar Estrella:
MSSF: A Step towards User-Friendly Multi-cloud Data Dispersal. IEEE CLOUD 2014: 952-953 - [c3]Lúcio F. D. Santos, Marcos Vinicius Naves Bedo, Marcelo Ponciano-Silva, Agma J. M. Traina, Caetano Traina Jr.:
Being Similar is Not Enough: How to Bridge Usability Gap through Diversity in Medical Images. CBMS 2014: 287-293 - 2013
- [c2]Marcelo Ponciano-Silva, Juliana P. Souza, Pedro Henrique Bugatti, Marcos Vinicius Naves Bedo, Daniel S. Kaster, Rosana T. V. Braga, Angela D. Bellucci, Paulo M. Azevedo-Marques, Caetano Traina Jr., Agma J. M. Traina:
Does a CBIR system really impact decisions of physicians in a clinical environment? CBMS 2013: 41-46 - [c1]Marcos Vinicius Naves Bedo, Davi Pereira dos Santos, Daniel S. Kaster, Caetano Traina Jr.:
A Similarity-Based Approach for Financial Time Series Analysis and Forecasting. DEXA (2) 2013: 94-108
Coauthor Index
aka: Paulo M. Azevedo-Marques
aka: Lucio Fernandes Dutra Santos
aka: Agma Juci Machado Traina
aka: Caetano Traina
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last updated on 2024-07-09 04:37 CEST by the dblp team
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