Fábio Porto

ORCID

Publication Activity (10 Years)

Years Active: 1998-2024
Publications (10 Years): 65

Top Venues

Publications

Eduardo H. M. Pena, Fábio Porto, Felix Naumann
Discovering Denial Constraints in Dynamic Datasets. ICDE (2024)
Rocío Zorrilla, Eduardo S. Ogasawara, Patrick Valduriez, Fábio Porto
A Data-Driven Model Selection Approach to Spatio-Temporal Prediction. Trans. Large Scale Data Knowl. Centered Syst. (2024)
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)
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) (2024)
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)
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)
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 (2023)
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 (2023)
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 (2023)
Gustavo Decarlo, Daniel de Oliveira, Fábio Porto
Otimização de Dataflows em Frameworks de Big Data por meio do Reúso de Dados. SBBD (2022)
Eduardo H. M. Pena, Fábio Porto, Felix Naumann
Fast Algorithms for Denial Constraint Discovery. Proc. VLDB Endow. 16 (4) (2022)
Leonardo Izaú, Mariana Fortes, Vitor Ribeiro, Celso Marques, Carla Oliveira, Eduardo Bezerra, Fábio Porto, Rebecca Salles, Eduardo S. Ogasawara
Towards Robust Cluster-Based Hyperparameter Optimization. SBBD (2022)
Rocío Zorrilla, Eduardo S. Ogasawara, Patrick Valduriez, Fábio Porto
A Data-Driven Model Selection Approach to Spatio-Temporal Prediction. SBBD (2022)
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)
Rebecca Salles, Esther Pacitti, Eduardo Bezerra, Fábio Porto, Eduardo S. Ogasawara
TSPred: A framework for nonstationary time series prediction. Neurocomputing 467 (2022)
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) (2022)
Rafaela Castro, Yania Molina Souto, Eduardo S. Ogasawara, Fábio Porto, Eduardo Bezerra
STConvS2S: Spatiotemporal Convolutional Sequence to Sequence Network for weather forecasting. Neurocomputing 426 (2021)
Maristela Terto de Holanda, Daniel Cardoso Moraes de Oliveira, Fábio Porto
Editorial. J. Inf. Data Manag. 12 (3) (2021)
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)
Maristela Terto de Holanda, Daniel Cardoso Moraes de Oliveira, Fábio Porto
Frontmatter. J. Inf. Data Manag. 12 (3) (2021)
Felipe S. Abrahão, Hector Zenil, Fábio Porto, Klaus Wehmuth
Algorithmic Probability of Large Datasets and the Simplicity Bubble Problem in Machine Learning. CoRR (2021)
Rafael S. Pereira, Alexis Joly, Patrick Valduriez, Fábio Porto
Hyperspherical embedding for novel class classification. CoRR (2021)
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)
Henrique Matheus F. da Silva, Rafael S. Pereira, Fábio Porto
SAGAD: Synthetic Data Generator for Tabular Datasets. SBBD (2021)
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) (2021)
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)
Claudio Barros, Rebecca Salles, Eduardo S. Ogasawara, Giancarlo Guizzardi, Fábio Porto
Requirements for an Ontology of Digital Twins. SEMANTiCS Posters&Demos (2021)
Leonardo S. Ramos, Fábio Porto, Daniel de Oliveira
Managing Hypothesis of Scientific Experiments with PhenoManager. J. Inf. Data Manag. 12 (2) (2021)
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 (2020)
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) (2020)
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) (2020)
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 (2020)
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 (2020)
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) (2020)
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 (2020)
Fábio Porto
Prefácio. SBBD (2020)
Hermano Lustosa, Fábio Porto
SAVIME: A Multidimensional System for the Analysis and Visualization of Simulation Data. CoRR (2019)
Hermano Lustosa, Fábio Porto, Patrick Valduriez
SAVIME: A Database Management System for Simulation Data Analysis and Visualization. SBBD (2019)
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)
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)
Rafaela C. Nascimento, Yania Molina Souto, Eduardo S. Ogasawara, Fábio Porto, Eduardo Bezerra
STConvS2S: Spatiotemporal Convolutional Sequence to Sequence Network for Weather Forecasting. CoRR (2019)
Rebecca Salles, Kele Belloze, Fábio Porto, Pedro H. Gonzalez, Eduardo S. Ogasawara
Nonstationary time series transformation methods: An experimental review. Knowl. Based Syst. 164 (2019)
Fábio Porto, Amir Khatibi, João N. Rittmeyer, Eduardo S. Ogasawara, Patrick Valduriez, Dennis E. Shasha
Constellation Queries over Big Data. SBBD (2018)
Ji Liu, Noel Moreno Lemus, Esther Pacitti, Fábio Porto, Patrick Valduriez
Parallel Computation of PDFs on Big Spatial Data Using Spark. CoRR (2018)
Ji Liu, Noel Moreno Lemus, Esther Pacitti, Fábio Porto, Patrick Valduriez
Computation of PDFs on Big Spatial Data: Problem & Architecture. LADaS@VLDB (2018)
Allan Santos, Hermano Lustosa, Fábio Porto, Bruno Schulze
Towards In-transit Analysis on Supercomputing Environments. CoRR (2018)
Riccardo Campisano, Heraldo Borges, Fábio Porto, Fabio Perosi, Esther Pacitti, Florent Masseglia, Eduardo S. Ogasawara
Discovering Tight Space-Time Sequences. DaWaK (2018)
Fábio Porto, João N. Rittmeyer, Eduardo S. Ogasawara, Alberto Krone-Martins, Patrick Valduriez, Dennis E. Shasha
Point pattern search in big data. SSDBM (2018)
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)
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)
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)
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)
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)
Yania Molina Souto, Fábio Porto, Ana Maria de Carvalho Moura, Eduardo Bezerra
A Spatiotemporal Ensemble Approach to Rainfall Forecasting. IJCNN (2018)
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 (2017)
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)
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)
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)
Fábio Porto, Amir Khatibi, João Guilherme Nobre Rittmeyer, Eduardo S. Ogasawara, Patrick Valduriez, Dennis E. Shasha
Constellation Queries over Big Data. CoRR (2017)
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)
Daniel Gaspar, Fábio Porto, Reza Akbarinia, Esther Pacitti
TARDIS: Optimal Execution of Scientific Workflows in Apache Spark. DaWaK (2017)
Hermano Lustosa, Fábio Porto, Noel Moreno Lemus, Patrick Valduriez
TARS: An Array Model with Rich Semantics for Multidimensional Data. ER Forum/Demos (2017)
Bernardo Gonçalves, Fábio Porto
A note on the complexity of the causal ordering problem. Artif. Intell. 238 (2016)
Riccardo Campisano, Fábio Porto, Esther Pacitti, Florent Masseglia, Eduardo S. Ogasawara
Spatial Sequential Pattern Mining for Seismic Data. SBBD (2016)
Hermano Lustosa, Fábio Porto, Pablo Blanco, Patrick Valduriez
Database System Support of Simulation Data. Proc. VLDB Endow. 9 (13) (2016)
Bernardo Gonçalves, Fábio Porto
A note on the complexity of the causal ordering problem. CoRR (2015)
Bernardo Gonçalves, Fábio Porto
Managing Scientific Hypotheses as Data with Support for Predictive Analytics. Comput. Sci. Eng. 17 (5) (2015)
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)
Hermano Lustosa, Fábio Porto, Ramon G. Costa, Pablo Blanco, Patrick Valduriez
Managing Simulation Data with Multidimensional Arrays. SBBD (Short Papers) (2015)
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) (2015)
Fábio Porto, Ramon G. Costa, Ana Maria de Carvalho Moura, Bernardo Gonçalves
Modeling and Implementing Scientific Hypothesis. J. Database Manag. 26 (2) (2015)
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 (2014)
Bernardo Gonçalves, Fábio Porto
$Υ$-DB: Managing scientific hypotheses as uncertain data. CoRR (2014)
Bernardo Gonçalves, Fábio Porto
Managing large-scale scientific hypotheses as uncertain data with support for predictive analytics. CoRR (2014)
Bernardo Gonçalves, Frederico C. da Silva, Fábio Porto
$Υ$-DB: A system for data-driven hypothesis management and analytics. CoRR (2014)
Bernardo Gonçalves, Fábio Porto
Design-theoretic encoding of deterministic hypotheses as constraints and correlations into U-relational databases. CoRR (2014)
Bernardo Gonçalves, Fábio Porto
Υ-DB: Managing scientific hypotheses as uncertain data. Proc. VLDB Endow. 7 (11) (2014)
Douglas E. M. de Oliveira, Cristina Boeres, Fábio Porto
Análise de Estratégias de Acesso a Grandes Volumes de Dados. SBBD (2014)
Ramon G. Costa, Fábio Porto, Bruno Schulze, Hermano Lustosa
Projeto de banco de dados de simulações numéricas. SBBD (Short Papers) (2013)
Jonas Dias, Eduardo S. Ogasawara, Daniel de Oliveira, Fábio Porto, Patrick Valduriez, Marta Mattoso
Algebraic dataflows for big data analysis. IEEE BigData (2013)
Fábio Porto, Bruno Schulze
Data management for eScience in Brazil. Concurr. Comput. Pract. Exp. 25 (16) (2013)
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)
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 (2013)
Douglas Ericson Marcelino de Oliveira, Fábio Porto
Orbit: Efficient Processing of Iterations. SBBD (Short Papers) (2013)
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) (2013)
Bernardo Gonçalves, Fábio Porto
Research lattices: towards a scientific hypothesis data model. SSDBM (2013)
Bernardo Gonçalves, Fábio Porto
A Lattice-Theoretic Approach for Representing and Managing Hypothesis-driven Research. AMW (2013)
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)
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) (2012)
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)
Bernardo Gonçalves, Fábio Porto, Ana Maria de Carvalho Moura
On the Semantic Engineering of Scientific Hypotheses as Linked Data. LISC@ISWC (2012)
Bruno Schulze, Rajkumar Buyya, Fábio Porto
Middleware for Clouds and e-Science. Concurr. Comput. Pract. Exp. 24 (13) (2012)
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)
Giacomo V. McEvoy, Fábio Porto, Bruno Schulze
A Representation Model for Virtual Machine Allocation. UCC (2012)
Fábio Porto, Ana Maria de Carvalho Moura, Bernardo Gonçalves, Ramon G. Costa, Stefano Spaccapietra
A Scientific Hypothesis Conceptual Model. ER Workshops (2012)
Miguel Liroz-Gistau, Reza Akbarinia, Esther Pacitti, Fábio Porto, Patrick Valduriez
Dynamic Workload-Based Partitioning for Large-Scale Databases. DEXA (2) (2012)
Ramon G. Costa, Fábio Porto, Bruno Schulze
Towards Analytical Data Management for Numerical Simulations. AMW (2012)
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)
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) (2011)
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) (2011)

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Publication Activity (10 Years)

Top Topics

Top Venues

Fábio Porto