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ORCIDFábio Porto 0001
Fábio André Machado Porto
Person information
- affiliation: National Laboratory of Scientific Computing (LNCC), DEXL Lab, Petrópolis, RJ, Brazil
- affiliation: EPFL Lausanne, School of Computer and Communication Sciences, Switzerland
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2020 – today
- 2024
[j39]Raquel Lopes Costa, Luiz M. R. Gadelha Jr.
, Mirela D'arc, Marcelo Ribeiro-Alves, David L. Robertson, Jean-Marc Schwartz, Marcelo A. Soares, Fábio Porto:
HIHISIV: a database of gene expression in HIV and SIV host immune response. BMC Bioinform. 25(1): 125 (2024)- [c79]Raphael de Freitas Saldanha, Víctor Ribeiro, Eduardo H. M. Pena, Marcel Pedroso, Reza Akbarinia, Patrick Valduriez, Fábio Porto:
Subset Models for Multivariate Time Series Forecast. ICDEW 2024: 86-90 - 2023
- [j38]Rebecca Salles, Esther Pacitti, Eduardo Bezerra, Celso Marques, Carla Pacheco, Carla Oliveira, Fábio Porto, Eduardo S. Ogasawara:
TSPredIT: Integrated Tuning of Data Preprocessing and Time Series Prediction Models. Trans. Large Scale Data Knowl. Centered Syst. 54: 41-55 (2023) - [j37]Reza Akbarinia, Christophe Botella, Alexis Joly, Florent Masseglia, Marta Mattoso, Eduardo S. Ogasawara, Daniel de Oliveira, Esther Pacitti, Fábio Porto, Christophe Pradal, Dennis E. Shasha, Patrick Valduriez:
Life Science Workflow Services (LifeSWS): Motivations and Architecture. Trans. Large Scale Data Knowl. Centered Syst. 55: 1-24 (2023) - [c78]Vítor Ribeiro, Eduardo H. M. Pena, Raphael de Freitas Saldanha, Reza Akbarinia, Patrick Valduriez, Falaah Arif Khan, Julia Stoyanovich, Fábio Porto:
Subset Modelling: A Domain Partitioning Strategy for Data-efficient Machine-Learning. SBBD 2023: 318-323 - [c77]Marcel Pedroso, Rebecca Salles, Raphael de Freitas Saldanha, Vinicius Kreischer de Almeida, Gabriel Souto, Balthazar Paixão, Sérgio Ricardo de Borba Cruz, Carlos Cardoso, Víctor Ribeiro, Raquel Gritz, Carmen Bonifácio, Matheus Miloski, Carlos Augusto de Sousa, Gizelton Pereira Alencar, Ariane Alves, Nelson Niero Neto, Letícia Sabbadini, Eduardo S. Ogasawara, Christovam Barcellos, Fábio Porto, Lucas Zinato Carraro, Jefferson Lima:
Data Science Platform Applied to Health in Contribution to the Brazilian Unified Health System. VLDB Workshops 2023 - [i16]Rebecca Salles, Janio Lima, Rafaelli Coutinho, Esther Pacitti, Florent Masseglia, Reza Akbarinia, Chao Chen, Jonathan M. Garibaldi, Fábio Porto, Eduardo S. Ogasawara:
SoftED: Metrics for Soft Evaluation of Time Series Event Detection. CoRR abs/2304.00439 (2023) - 2022
- [j36]Rebecca Salles, Esther Pacitti, Eduardo Bezerra, Fábio Porto, Eduardo S. Ogasawara:
TSPred: A framework for nonstationary time series prediction. Neurocomputing 467: 197-202 (2022) - [j35]Eduardo H. M. Pena, Fábio Porto, Felix Naumann:
Fast Algorithms for Denial Constraint Discovery. Proc. VLDB Endow. 16(4): 684-696 (2022) - [j34]Fábio Porto, Mariza Ferro, Eduardo S. Ogasawara, Thiago Moeda, Claudio Daniel Tenorio de Barros, Anderson Chaves da Silva, Rocío Zorrilla, Rafael Silva Pereira, Rafaela Nascimento Castro, João Victor Silva, Rebecca Salles, Augusto José Fonseca, Juliana Hermsdorff, Marcelo Magalhães, Vitor Sá, Adolfo Simões, Carlos Cardoso, Eduardo Bezerra:
Machine Learning Approaches to Extreme Weather Events Forecast in Urban Areas: Challenges and Initial Results. Supercomput. Front. Innov. 9(1): 49-73 (2022) - [c76]Janio Lima, Rebecca Salles, Fábio Porto, Rafaelli Coutinho, Pedro Alpis, Luciana E. G. Escobar, Esther Pacitti, Eduardo S. Ogasawara:
Forward and Backward Inertial Anomaly Detector: A Novel Time Series Event Detection Method. IJCNN 2022: 1-8 - [c75]Rocío Zorrilla, Eduardo S. Ogasawara, Patrick Valduriez, Fábio Porto:
A Data-Driven Model Selection Approach to Spatio-Temporal Prediction. SBBD 2022: 1-12 - [c74]Gustavo Decarlo, Daniel de Oliveira, Fábio Porto:
Otimização de Dataflows em Frameworks de Big Data por meio do Reúso de Dados. SBBD 2022: 367-372 - [c73]Leonardo Izaú, Mariana Fortes, Vítor Ribeiro, Celso Marques, Carla Oliveira, Eduardo Bezerra, Fábio Porto, Rebecca Salles, Eduardo S. Ogasawara:
Towards Robust Cluster-Based Hyperparameter Optimization. SBBD 2022: 439-444 - 2021
- [j33]Douglas E. M. de Oliveira, Fábio Porto, Cristina Boeres, Daniel de Oliveira:
Towards optimizing the execution of spark scientific workflows using machine learning-based parameter tuning. Concurr. Comput. Pract. Exp. 33(5) (2021) - [j32]Rafaela Castro, Yania Molina Souto, Eduardo S. Ogasawara, Fábio Porto, Eduardo Bezerra:
STConvS2S: Spatiotemporal Convolutional Sequence to Sequence Network for weather forecasting. Neurocomputing 426: 285-298 (2021) - [j31]Leonardo S. Ramos, Fábio Porto, Daniel de Oliveira:
Managing Hypothesis of Scientific Experiments with PhenoManager. J. Inf. Data Manag. 12(2) (2021) - [j30]Maristela Terto de Holanda, Daniel Cardoso Moraes de Oliveira, Fábio Porto:
Frontmatter. J. Inf. Data Manag. 12(3) (2021) - [j29]Maristela Terto de Holanda, Daniel Cardoso Moraes de Oliveira, Fábio Porto:
Editorial. J. Inf. Data Manag. 12(3) (2021) - [j28]Balthazar Paixão, Lais Baroni, Marcel Pedroso, Rebecca Salles, Luciana E. G. Escobar, Carlos de Sousa, Raphael de Freitas Saldanha, Jorge de Abreu Soares, Rafaelli Coutinho, Fábio Porto, Eduardo S. Ogasawara:
Estimation of COVID-19 Under-Reporting in the Brazilian States Through SARI. New Gener. Comput. 39(3): 623-645 (2021) - [c72]Claudio Daniel Tenorio de Barros, Rebecca Salles, Eduardo S. Ogasawara, Giancarlo Guizzardi, Fábio Porto:
Requirements for an Ontology of Digital Twins. SEMANTiCS (Posters & Demos) 2021 - [c71]Henrique Matheus F. da Silva, Rafael S. Pereira, Fábio Porto:
SAGAD: Synthetic Data Generator for Tabular Datasets. SBBD 2021: 1-12 - [c70]Antonio Castro, Heraldo Borges, Riccardo Campisano, Esther Pacitti, Fábio Porto, Rafaelli Coutinho, Eduardo S. Ogasawara:
Generalização de Mineração de Sequências Restritas no Espaço e no Tempo. SBBD 2021: 313-318 - [c69]Stiw Herrera, Larissa Miguez da Silva, Paulo Ricardo Reis, Anderson Silva, Fábio Porto:
Managing Sparse Spatio-Temporal Data in SAVIME: an Evaluation of the Ph-tree Index. SBBD 2021: 337-342 - [c68]Rafael S. Pereira, Yania Molina Souto, Anderson Chaves da Silva, Rocío Zorilla, Brian Tsan, Florin Rusu, Eduardo S. Ogasawara, Artur Ziviani, Fábio Porto:
DJEnsemble: a Cost-Based Selection and Allocation of a Disjoint Ensemble of Spatio-temporal Models. SSDBM 2021: 226-231 - [i15]Rafael S. Pereira, Alexis Joly, Patrick Valduriez, Fábio Porto:
Hyperspherical embedding for novel class classification. CoRR abs/2102.03243 (2021) - [i14]Felipe S. Abrahão, Hector Zenil, Fábio Porto, Klaus Wehmuth:
Algorithmic Probability of Large Datasets and the Simplicity Bubble Problem in Machine Learning. CoRR abs/2112.12275 (2021) - 2020
- [j27]Noel Moreno Lemus, Fábio Porto, Yania Molina Souto, Rafael S. Pereira, Ji Liu, Esther Pacciti, Patrick Valduriez:
SUQ2: Uncertainty Quantification Queries over Large Spatio-temporal Simulations. IEEE Data Eng. Bull. 43(1): 47-59 (2020) - [j26]Ji Liu, Noel Moreno Lemus, Esther Pacitti, Fábio Porto, Patrick Valduriez:
Parallel computation of PDFs on big spatial data using Spark. Distributed Parallel Databases 38(1): 63-100 (2020) - [j25]Kary A. C. S. Ocaña, Marcelo Galheigo, Carla Osthoff, Luiz M. R. Gadelha Jr., Fábio Porto, Antônio Tadeu A. Gomes, Daniel de Oliveira, Ana Tereza Ribeiro de Vasconcelos:
BioinfoPortal: A scientific gateway for integrating bioinformatics applications on the Brazilian national high-performance computing network. Future Gener. Comput. Syst. 107: 192-214 (2020) - [j24]Heraldo Borges, Murillo Dutra, Amin Bazaz, Rafaelli Coutinho, Fabio Perosi, Fábio Porto, Florent Masseglia, Esther Pacitti, Eduardo S. Ogasawara:
Spatial-time motifs discovery. Intell. Data Anal. 24(5): 1121-1140 (2020) - [j23]Lais Baroni, Rebecca Salles, Samella Salles, Gustavo Paiva Guedes, Fábio Porto, Eduardo Bezerra, Christovam Barcellos, Marcel Pedroso, Eduardo S. Ogasawara:
An analysis of malaria in the Brazilian Legal Amazon using divergent association rules. J. Biomed. Informatics 108: 103512 (2020) - [j22]Anderson Chaves da Silva, Hermano Lourenço Souza Lustosa, Daniel Nascimento Ramos da Silva, Fábio André Machado Porto, Patrick Valduriez:
SAVIME: An Array DBMS for Simulation Analysis and ML Models Prediction. J. Inf. Data Manag. 11(3) (2020) - [c67]Fábio Porto:
Prefácio. SBBD 2020 - [i13]Yania Molina Souto, Rafael S. Pereira, Rocío Zorrilla, Anderson Chaves da Silva, Brian Tsan, Florin Rusu, Eduardo S. Ogasawara, Artur Ziviani, Fábio Porto:
DJEnsemble: On the Selection of a Disjoint Ensemble of Deep Learning Black-Box Spatio-temporal Models. CoRR abs/2005.11093 (2020) - [i12]Balthazar Paixão, Lais Baroni, Rebecca Salles, Luciana E. G. Escobar, Carlos de Sousa, Marcel Pedroso, Raphael de Freitas Saldanha, Rafaelli Coutinho, Fábio Porto, Eduardo S. Ogasawara:
Estimation of COVID-19 under-reporting in Brazilian States through SARI. CoRR abs/2006.12759 (2020)
2010 – 2019
- 2019
- [j21]Rebecca Salles, Kele T. Belloze, Fábio Porto, Pedro H. Gonzalez, Eduardo S. Ogasawara:
Nonstationary time series transformation methods: An experimental review. Knowl. Based Syst. 164: 274-291 (2019) - [c66]Kary Ann del Carmen Ocaña Gautherot, Marcelo Galheigo, Carla Osthoff, Luiz M. R. Gadelha Jr., Antônio Tadeu A. Gomes, Daniel de Oliveira, Fábio Porto, Ana Tereza Ribeiro de Vasconcelos:
Towards a Science Gateway for Bioinformatics: Experiences in the Brazilian System of High Performance Computing. CCGRID 2019: 638-647 - [c65]Daniel Nascimento Ramos da Silva, Adolfo Simões, Carlos Cardoso, Douglas E. M. de Oliveira, João N. Rittmeyer, Klaus Wehmuth, Hermano Lustosa, Rafael S. Pereira, Yania Molina Souto, Luciana E. G. Vignoli, Rebecca Salles, Heleno de S. C. Jr, Artur Ziviani, Eduardo S. Ogasawara, Flávia Coimbra Delicato, Paulo de Figueiredo Pires, Hardy Leonardo da Cunha Pereira Pinto, Luciano Maia, Fábio Porto:
A Conceptual Vision Toward the Management of Machine Learning Models. ER Forum/Posters/Demos 2019: 15-27 - [c64]Hermano Lustosa, Fábio Porto, Patrick Valduriez:
SAVIME: A Database Management System for Simulation Data Analysis and Visualization. SBBD 2019: 85-96 - [i11]Hermano Lustosa, Fábio Porto:
SAVIME: A Multidimensional System for the Analysis and Visualization of Simulation Data. CoRR abs/1903.02949 (2019) - [i10]Rafaela C. Nascimento, Yania Molina Souto, Eduardo S. Ogasawara, Fábio Porto, Eduardo Bezerra:
STConvS2S: Spatiotemporal Convolutional Sequence to Sequence Network for Weather Forecasting. CoRR abs/1912.00134 (2019) - 2018
- [c63]Leonardo Carvalho, Laura Assis, Leonardo Silva de Lima, Eduardo Bezerra, Gustavo Paiva Guedes, Artur Ziviani, Fábio Porto, Rafael Barbastefano, Eduardo S. Ogasawara:
Evaluating the Complementarity of Communication Tools for Learning Platforms. CSEDU (2) 2018: 142-153 - [c62]Riccardo Campisano, Heraldo Borges, Fábio Porto, Fabio Perosi, Esther Pacitti, Florent Masseglia, Eduardo S. Ogasawara:
Discovering Tight Space-Time Sequences. DaWaK 2018: 247-257 - [c61]Yania Molina Souto, Fábio Porto, Ana Maria de Carvalho Moura, Eduardo Bezerra:
A Spatiotemporal Ensemble Approach to Rainfall Forecasting. IJCNN 2018: 1-8 - [c60]Fábio Porto, Amir Khatibi, João N. Rittmeyer, Eduardo S. Ogasawara, Patrick Valduriez, Dennis E. Shasha:
Constellation Queries over Big Data. SBBD 2018: 85-96 - [c59]João Antonio Ferreira, Jorge de Abreu Soares, Fábio Porto, Esther Pacitti, Rafaelli Coutinho, Eduardo S. Ogasawara:
Rumo à Integração da Álgebra de Workflows com o Processamento de Consulta Relacional. SBBD 2018: 205-210 - [c58]Ana Beatriz Cruz, João Antonio Ferreira, Diego Carvalho, Eduardo Mendes, Esther Pacitti, Rafaelli Coutinho, Fábio Porto, Eduardo S. Ogasawara:
Detecção de Anomalias Frequentes no Transporte Rodoviário Urbano. SBBD 2018: 271-276 - [c57]Vinicius M. Gottin, Edward Pacheco, Jonas Dias, Angelo E. M. Ciarlini, Bruno Costa, Wagner Vieira, Yania Molina Souto, Paulo F. Pires, Fábio Porto, João Guilherme Nobre Rittmeyer:
Automatic Caching Decision for Scientific Dataflow Execution in Apache Spark. BeyondMR@SIGMOD 2018: 2:1-2:10 - [c56]Fábio Porto, João N. Rittmeyer, Eduardo S. Ogasawara, Alberto Krone-Martins, Patrick Valduriez, Dennis E. Shasha:
Point pattern search in big data. SSDBM 2018: 21:1-21:12 - [c55]Patrick Valduriez, Marta Mattoso, Reza Akbarinia, Heraldo Borges, José J. Camata, Alvaro L. G. A. Coutinho, Daniel Gaspar, Noel Moreno Lemus, Ji Liu, Hermano Lustosa, Florent Masseglia, Fabrício Nogueira da Silva, Vítor Silva, Renan Souza, Kary A. C. S. Ocaña, Eduardo S. Ogasawara, Daniel de Oliveira, Esther Pacitti, Fábio Porto, Dennis E. Shasha:
Scientific Data Analysis Using Data-Intensive Scalable Computing: The SciDISC Project. LADaS@VLDB 2018: 1-8 - [c54]Ji Liu, Noel Moreno Lemus, Esther Pacitti, Fábio Porto, Patrick Valduriez:
Computation of PDFs on Big Spatial Data: Problem & Architecture. LADaS@VLDB 2018: 80-83 - [i9]Ji Liu, Noel Moreno Lemus, Esther Pacitti, Fábio Porto, Patrick Valduriez:
Parallel Computation of PDFs on Big Spatial Data Using Spark. CoRR abs/1805.03141 (2018) - [i8]Allan Santos, Hermano Lustosa, Fábio Porto, Bruno Schulze:
Towards In-transit Analysis on Supercomputing Environments. CoRR abs/1805.06425 (2018) - 2017
- [c53]Daniel Gaspar, Fábio Porto, Reza Akbarinia, Esther Pacitti:
TARDIS: Optimal Execution of Scientific Workflows in Apache Spark. DaWaK 2017: 74-87 - [c52]Amir Khatibi, Fábio Porto, João Guilherme Nobre Rittmeyer, Eduardo S. Ogasawara, Patrick Valduriez, Dennis E. Shasha:
Pre-processing and Indexing Techniques for Constellation Queries in Big Data. DaWaK 2017: 164-172 - [c51]Hermano Lustosa, Fábio Porto, Noel Moreno Lemus, Patrick Valduriez:
TARS: An Array Model with Rich Semantics for Multidimensional Data. ER Forum/Demos 2017: 114-127 - [c50]Rebecca Salles, Laura Assis, Gustavo Paiva Guedes, Eduardo Bezerra, Fábio Porto, Eduardo S. Ogasawara:
A framework for benchmarking machine learning methods using linear models for univariate time series prediction. IJCNN 2017: 2338-2345 - [c49]Vinícius Pires de Moura Freire, Fábio Porto, José A. F. de Macêdo:
ParallelNACluster: Uma estratégia paralela de clusterização para o casamento de múltiplos catálogos. SBBD 2017: 100-111 - [c48]Ana Beatriz Cruz, João Antonio Ferreira, Bernardo Monteiro, Rafaelli Coutinho, Fábio Porto, Eduardo S. Ogasawara:
Detecção de Anomalias no Transporte Rodoviário Urbano. SBBD (Short Papers) 2017: 240-245 - [i7]Fábio Porto, Amir Khatibi, João Guilherme Nobre Rittmeyer, Eduardo S. Ogasawara, Patrick Valduriez, Dennis E. Shasha:
Constellation Queries over Big Data. CoRR abs/1703.02638 (2017) - [i6]Leonardo Carvalho, Eduardo Bezerra, Gustavo Paiva Guedes, Laura Assis, Leonardo Silva de Lima, Rafael Barbastefano, Artur Ziviani, Fábio Porto, Eduardo S. Ogasawara:
A Mixed Graph Framework to evaluate the complementarity of communication Tools. PeerJ Prepr. 5: e3114 (2017) - 2016
- [j20]Bernardo Gonçalves, Fábio Porto:
A note on the complexity of the causal ordering problem. Artif. Intell. 238: 154-165 (2016) - [j19]Hermano Lustosa, Fábio Porto, Pablo Blanco, Patrick Valduriez:
Database System Support of Simulation Data. Proc. VLDB Endow. 9(13): 1329-1340 (2016) - [c47]Riccardo Campisano, Fábio Porto, Esther Pacitti, Florent Masseglia, Eduardo S. Ogasawara:
Spatial Sequential Pattern Mining for Seismic Data. SBBD 2016: 241-246 - 2015
- [j18]Bernardo Gonçalves, Fábio Porto:
Managing Scientific Hypotheses as Data with Support for Predictive Analytics. Comput. Sci. Eng. 17(5): 35-43 (2015) - [j17]Ana Maria de Carvalho Moura, Fábio Porto, Vânia Maria Ponte Vidal, Regis Pires Magalhães, Macedo Sousa Maia, Maira Poltosi, Daniele C. Palazzi:
A semantic integration approach to publish and retrieve ecological data. Int. J. Web Inf. Syst. 11(1): 87-119 (2015) - [j16]Fábio Porto, Ramon G. Costa, Ana Maria de Carvalho Moura, Bernardo Gonçalves:
Modeling and Implementing Scientific Hypothesis. J. Database Manag. 26(2): 1-13 (2015) - [c46]Douglas E. M. de Oliveira, Cristina Boeres, Angelo Fausti, Fábio Porto:
Avaliação da Localidade de Dados Intermediários na Execução Paralela de Workflows Bigdata. SBBD 2015: 29-40 - [c45]Hermano Lustosa, Fábio Porto, Ramon G. Costa, Pablo Blanco, Patrick Valduriez:
Managing Simulation Data with Multidimensional Arrays. SBBD (Short Papers) 2015: 81-86 - [i5]Bernardo Gonçalves, Fábio Porto:
A note on the complexity of the causal ordering problem. CoRR abs/1508.05804 (2015) - 2014
- [j15]Rocío Zorrilla, Maira Poltosi, Luiz M. R. Gadelha Jr., Fábio Porto, Ana Maria de Carvalho Moura, A. Dalto, Helena P. Lavrado, Yocie Yoneshigue-Valentin, M. Tenório, E. Xavier:
Conceptual View Representation of the Brazilian Information System on Antarctic Environmental Research. Data Sci. J. 13: PDA20-PDA26 (2014) - [j14]Bernardo Gonçalves, Fábio Porto:
Υ-DB: Managing scientific hypotheses as uncertain data. Proc. VLDB Endow. 7(11): 959-962 (2014) - [c44]Vinícius Pires de Moura Freire, Fábio André Machado Porto, José Antônio Fernandes de Macêdo, Reza Akbarinia:
NACluster: A Non-supervised Clustering Algorithm for Matching Multi Catalogues. eScience Workshops 2014: 83-86 - [c43]Douglas E. M. de Oliveira, Cristina Boeres, Fábio Porto:
Análise de Estratégias de Acesso a Grandes Volumes de Dados. SBBD 2014: 27-36 - [i4]Bernardo Gonçalves, Fábio Porto:
$Υ$-DB: Managing scientific hypotheses as uncertain data. CoRR abs/1405.4607 (2014) - [i3]Bernardo Gonçalves, Fábio Porto:
Managing large-scale scientific hypotheses as uncertain data with support for predictive analytics. CoRR abs/1405.5905 (2014) - [i2]Bernardo Gonçalves, Fábio Porto:
Design-theoretic encoding of deterministic hypotheses as constraints and correlations into U-relational databases. CoRR abs/1411.5196 (2014) - [i1]Bernardo Gonçalves, Frederico C. da Silva, Fábio Porto:
$Υ$-DB: A system for data-driven hypothesis management and analytics. CoRR abs/1411.7419 (2014) - 2013
- [j13]Fábio Porto, Bruno Schulze:
Data management for eScience in Brazil. Concurr. Comput. Pract. Exp. 25(16): 2307-2309 (2013) - [j12]Eduardo S. Ogasawara, Jonas Dias, Vítor Silva, Fernando Seabra Chirigati, Daniel de Oliveira, Fábio Porto, Patrick Valduriez, Marta Mattoso:
Chiron: a parallel engine for algebraic scientific workflows. Concurr. Comput. Pract. Exp. 25(16): 2327-2341 (2013) - [j11]Miguel Liroz-Gistau, Reza Akbarinia, Esther Pacitti, Fábio Porto, Patrick Valduriez:
Dynamic Workload-Based Partitioning Algorithms for Continuously Growing Databases. Trans. Large Scale Data Knowl. Centered Syst. 12: 105-128 (2013) - [c42]Bernardo Gonçalves, Fábio Porto:
A Lattice-Theoretic Approach for Representing and Managing Hypothesis-driven Research. AMW 2013 - [c41]Jonas Dias, Eduardo S. Ogasawara, Daniel de Oliveira, Fábio Porto, Patrick Valduriez, Marta Mattoso:
Algebraic dataflows for big data analysis. IEEE BigData 2013: 150-155 - [c40]Regis Pires Magalhães, José Maria Monteiro, Vânia Maria P. Vidal, José Antônio Fernandes de Macêdo, Macedo Sousa Maia, Fábio Porto, Marco A. Casanova:
QEF-LD - A Query Engine for Distributed Query Processing on Linked Data. ICEIS (1) 2013: 185-192 - [c39]Ramon G. Costa, Fábio Porto, Bruno Schulze, Hermano Lustosa:
Projeto de banco de dados de simulações numéricas. SBBD (Short Papers) 2013: 1:1-1:6 - [c38]Douglas Ericson Marcelino de Oliveira, Fábio Porto:
Orbit: Efficient Processing of Iterations. SBBD (Short Papers) 2013: 28:1-28-6 - [c37]Bernardo Gonçalves, Fábio Porto:
Research lattices: towards a scientific hypothesis data model. SSDBM 2013: 41:1-41:4 - 2012
- [j10]Bruno Schulze, Rajkumar Buyya, Fábio Porto:
Middleware for Clouds and e-Science. Concurr. Comput. Pract. Exp. 24(13): 1393-1396 (2012) - [j9]Fábio Porto, Ana Maria de Carvalho Moura, Frederico C. da Silva, Adriana Bassini, Daniele C. Palazzi, Maira Poltosi, Luis Eduardo Viveiros de Castro, L. C. Cameron:
A metaphoric trajectory data warehouse for Olympic athlete follow-up. Concurr. Comput. Pract. Exp. 24(13): 1497-1512 (2012) - [c36]Ramon G. Costa, Fábio Porto, Bruno Schulze:
Towards Analytical Data Management for Numerical Simulations. AMW 2012: 210-214 - [c35]Miguel Liroz-Gistau, Reza Akbarinia, Esther Pacitti, Fábio Porto, Patrick Valduriez:
Dynamic Workload-Based Partitioning for Large-Scale Databases. DEXA (2) 2012: 183-190 - [c34]Fábio Porto, Ana Maria de Carvalho Moura, Bernardo Gonçalves, Ramon G. Costa, Stefano Spaccapietra:
A Scientific Hypothesis Conceptual Model. ER Workshops 2012: 101-110 - [c33]Ana Maria de Carvalho Moura, Fábio Porto, Maira Poltosi, Daniele C. Palazzi, Regis Pires Magalhães, Vânia Maria P. Vidal:
Integrating Ecological Data Using Linked Data Principles. ONTOBRAS-MOST 2012: 156-167 - [c32]Regis Pires Magalhães, Macedo Sousa Maia, Vânia Maria Ponte Vidal, José Antônio Fernandes de Macêdo, José Maria Monteiro, Fábio André Machado Porto:
Desenvolvimento de Linked Data Mashups com o uso de LIDMS. SBBD (Short Papers) 2012: 217-224 - [c31]Bernardo Gonçalves, Fábio Porto, Ana Maria de Carvalho Moura:
On the Semantic Engineering of Scientific Hypotheses as Linked Data. LISC@ISWC 2012 - [c30]Fernando Chirigati, Vítor Silva, Eduardo S. Ogasawara, Daniel de Oliveira, Jonas Dias, Fábio Porto, Patrick Valduriez, Marta Mattoso:
Evaluating parameter sweep workflows in high performance computing. SWEET@SIGMOD 2012: 2 - [c29]Daniel Yokoyama, Victor Dias de Oliveira, Henrique Kloh, Matheus Bandini, Fábio Porto, Bruno Schulze, Antonio Roberto Mury:
The Impact of Hypervisor Layer on Database Applications. UCC 2012: 247-254 - [c28]Giacomo V. McEvoy, Fábio Porto, Bruno Schulze:
A Representation Model for Virtual Machine Allocation. UCC 2012: 271-278 - 2011
- [j8]Vânia Maria Ponte Vidal, José Antônio Fernandes de Macêdo, João Carlos Pinheiro, Marco A. Casanova, Fábio Porto:
Query Processing in a Mediator Based Framework for Linked Data Integration. Int. J. Bus. Data Commun. Netw. 7(2): 29-47 (2011) - [j7]Eduardo S. Ogasawara, Daniel de Oliveira, Patrick Valduriez, Jonas Dias, Fábio Porto, Marta Mattoso:
An Algebraic Approach for Data-Centric Scientific Workflows. Proc. VLDB Endow. 4(12): 1328-1339 (2011) - [c27]Jonas Dias, Eduardo S. Ogasawara, Daniel de Oliveira, Fábio Porto, Alvaro L. G. A. Coutinho, Marta Mattoso:
Supporting dynamic parameter sweep in adaptive and user-steered workflow. WORKS@SC 2011: 31-36 - 2010
- [c26]João Carlos Pinheiro, Vânia Maria Ponte Vidal, José Antônio Fernandes de Macêdo, Eveline R. Sacramento, Marco A. Casanova, Fábio Porto:
Query processing in a three-level ontology-based data integration system. iiWAS 2010: 283-290 - [c25]Douglas Oliveira, Fábio Porto, Gilson A. Giraldi, Bruno Schulze, Raquel Coelho Gomes Pinto:
Optimizing the pre-processing of scientific visualization techniques using QEF. MGC@Middleware 2010: 6
2000 – 2009
- 2009
- [c24]Jean-Paul Calbimonte, Fábio Porto, C. Maria Keet:
Functional Dependencies in OWL ABOX. SBBD 2009: 16-30 - 2008
- [j6]Stefano Spaccapietra, Christine Parent, Maria Luisa Damiani, José Antônio Fernandes de Macêdo, Fábio Porto, Christelle Vangenot:
A conceptual view on trajectories. Data Knowl. Eng. 65(1): 126-146 (2008) - [c23]Fábio Porto, Stefano Spaccapietra:
Data Model for Scientific Models and Hypotheses. The Evolution of Conceptual Modeling 2008: 285-305 - [c22]Vânia M. P. Vidal, Fernando Cordeiro Lemos, Fábio Porto:
Towards automatic generation of AXML web services for dynamic data integration. DataX@EDBT 2008: 43-50 - [c21]Fábio Porto, José Antônio Fernandes de Macêdo, Javier Sanchez Tamargo, Yuanjian Wang Zufferey, Vânia Maria P. Vidal, Stefano Spaccapietra:
Towards a Scientific Model Management System. ER Workshops 2008: 55-65 - 2007
- [j5]Fábio Porto, Ana Maria de Carvalho Moura, Fábio José Coutinho da Silva, Adriana Pereira Fernandez:
The ROSA project: leveraging e-learning to a semantic layer. Int. J. Knowl. Learn. 3(1): 46-75 (2007) - [c20]José Antônio Fernandes de Macêdo, Fábio Porto, Sérgio Lifschitz, Philippe Picouet:
Dealing with Some Conceptual Data Model Requirements for Biological Domains. AINA Workshops (1) 2007: 651-656 - [c19]José Antônio Fernandes de Macêdo, Fábio Porto, Sérgio Lifschitz, Philippe Picouet:
A Conceptual Data Model Language for the Molecular Biology Domain. CBMS 2007: 231-236 - [c18]Fábio Porto, Othman Tajmouati, Vinícius F. V. da Silva, Bruno Schulze, Fausto V. M. Ayres:
QEF - Supporting Complex Query Applications. CCGRID 2007: 846-851 - [c17]Le-Hung Vu, Fábio Porto, Karl Aberer, Manfred Hauswirth:
An Extensible and Personalized Approach to QoS-enabled Service Discovery. IDEAS 2007: 37-45 - 2006
- [j4]Vinícius F. V. da Silva, Márcio L. Dutra, Fábio Porto, Bruno Schulze, Álvaro Cesar P. Barbosa, Jauvane C. de Oliveira:
An adaptive parallel query processing middleware for the Grid. Concurr. Comput. Pract. Exp. 18(6): 621-634 (2006) - [j3]Le-Hung Vu, Manfred Hauswirth, Fábio Porto, Karl Aberer:
A search engine for QoS-enabled discovery of semantic web services. Int. J. Bus. Process. Integr. Manag. 1(4): 244-255 (2006) - [c16]Robert Minchin, Fábio Porto, Christelle Vangenot, Sven Hartmann:
Symptoms Ontology for Mapping Diagnostic Knowledge Systems. CBMS 2006: 593-598 - 2005
- [c15]Fábio Porto, Vinícius F. V. da Silva, Márcio L. Dutra, Bruno Schulze:
An Adaptive Distributed Query Processing Grid Service. DMG 2005: 45-57 - [c14]Fábio Porto:
Reasoning on Dynamically Built Reasoning Space with Ontology Modules. OTM Conferences (2) 2005: 1623-1628 - 2004
- [j2]Fábio Porto, Gilson A. Giraldi, Jauvane C. de Oliveira, Rodrigo L. S. Silva, Bruno Schulze:
CoDIMS: an adaptable middleware system for scientific visualization in Grids. Concurr. Pract. Exp. 16(5): 515-522 (2004) - [c13]Luiz Antônio M. Pereira, Rubens N. Melo, Fábio Porto, Bruno Schulze:
A workflow-based architecture for E-learning in the Grid. CCGRID 2004: 208-209 - [c12]Fábio Porto, Ana Maria de Carvalho Moura, Fábio José Coutinho da Silva:
ROSA: A Repository of Objects with Semantic Access for e-Learning. IDEAS 2004: 486-488 - [c11]Vinícius Fontes, Bruno Schulze, Márcio L. Dutra, Fábio Porto, Álvaro Cesar P. Barbosa:
CoDIMS-G: a data and program integration service for the grid. Middleware for Grid Computing 2004: 29-34 - [c10]Fábio Coutinho, Fábio Porto:
Query Processing in ROSA Data Model. SBBD 2004: 204-218 - 2003
- [c9]Abílio Fernandes, Ana Maria de Carvalho Moura, Fábio Porto:
An Ontology-Based Approach for Organizing, Sharing, and Querying Knowledge Objects on the Web. DEXA Workshops 2003: 604-609 - [c8]Fábio Porto, Ana Maria de Carvalho Moura, Adriana Pereira Fernandez, Abílio Fernandes, Fábio José Coutinho da Silva, Gilda Helena Bernardino de Campos, Laura Coutinho:
ROSA: A Data Model and Query Language for e-Learning Objects. PGLDB 2003 - [c7]Fábio Porto, Eduardo Sany Laber, Patrick Valduriez:
Cherry Picking: A Semantic Query Processing Strategy for the Evaluation of Expensive Predicates. SBBD 2003: 356-370 - [c6]Fausto V. M. Ayres, Fábio Porto, Rubens N. Melo:
Uma Máquina Extensível para Suporte a Novos Modelos de Execução de Consultas. SBBD 2003: 371-380 - 2002
- [j1]Álvaro Cesar P. Barbosa, Fábio Porto, Rubens N. Melo:
Configurable Data Integration Middleware System. J. Braz. Comput. Soc. 8(2): 12-19 (2002) - 2001
- [c5]Luc Bouganim, Françoise Fabret, Fábio Porto, Patrick Valduriez:
Processing Queries with Expensive Functions and Large Objects in Distributed Mediator Systems. BDA 2001 - [c4]Luc Bouganim, Françoise Fabret, Fábio Porto, Patrick Valduriez:
Processing Queries with Expensive Functions and Large Objects in Distributed Mediator Systems. ICDE 2001: 91-98 - [c3]Álvaro Cesar P. Barbosa, Fábio Porto:
Configurable Data Integration Middleware System. Workshop on Information Integration on the Web 2001: 74-80
1990 – 1999
- 1999
- [c2]Fábio Porto, Sergio E. R. de Carvalho, Mauricio J. V. de Silva, Rubens N. Melo:
Persistent Object Synchronization with Active Relational Databases. TOOLS (30) 1999: 53-62 - 1998
- [c1]Fábio Porto, Mauricio J. V. Silva, Sergio E. R. de Carvalho:
Object Life-Cycles in Active Relational Databases. TOOLS (26) 1998: 168-
Coauthor Index
Rafaelli de C. Coutinho
aka: Rafaelli Coutinho
aka: Rafaelli Coutinho
Hermano Lustosa
aka: Hermano Lourenço Souza Lustosa
aka: Hermano Lourenço Souza Lustosa
José A. F. de Macêdo
aka: José Antônio Fernandes de Macêdo
aka: José Antônio Fernandes de Macêdo
Daniel de Oliveira 0001
aka: Daniel Cardoso Moraes de Oliveira
aka: Daniel Cardoso Moraes de Oliveira
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