Fábio Porto

According to our database, Fábio Porto authored at least 132 papers between 1998 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

HIHISIV: a database of gene expression in HIV and SIV host immune response.

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

BMC Bioinform., December, 2024

A Data-Driven Model Selection Approach to Spatio-Temporal Prediction.

Rocío Zorrilla, Eduardo S. Ogasawara, Patrick Valduriez, Fábio Porto

Trans. Large Scale Data Knowl. Centered Syst., 2024

A Digital Twin System for Oil And Gas Industry: A Use Case on Mooring Lines Integrity Monitoring.

Vinicius Kreischer de Almeida, Douglas Ericson Marcelino de Oliveira, Claudio Daniel Tenorio de Barros, Gabriel dos Santos Scatena, Asdrubal N. Queiroz Filho, Fábio Levy Siqueira, Anna Helena Reali Costa, Edson Satoshi Gomi, Leonardo A. F. Mendoza, Evelyn Conceição Santos Batista, Cristian E. Muñoz, Isabela Guimarães Siqueira, Rodrigo A. Barreira, Ismael H. F. dos Santos, Carlos Cardoso, Eduardo S. Ogasawara, Fábio Porto

Proceedings of the ACM/IEEE 27th International Conference on Model Driven Engineering Languages and Systems, 2024

REMD: A Novel Hybrid Anomaly Detection Method Based on EMD and ARIMA.

Jéssica Souza, Ellen Paixão, Fernando Fraga, Lais Baroni, Ronaldo Fernandes Santos Alves, Kele T. Belloze, Joel dos Santos, Eduardo Bezerra, Fábio Porto, Eduardo S. Ogasawara

Proceedings of the International Joint Conference on Neural Networks, 2024

Online Event Detection in Streaming Time Series: Novel Metrics and Practical Insights.

Janio Lima, Lucas Giusti Tavares, Esther Pacitti, João Eduardo Ferreira, Ismael Santos, Isabela Guimarães Siqueira, Diego Carvalho, Fábio Porto, Rafaelli Coutinho, Eduardo S. Ogasawara

Proceedings of the International Joint Conference on Neural Networks, 2024

Subset Models for Multivariate Time Series Forecast.

Raphael de Freitas Saldanha, Víctor Ribeiro, Eduardo H. M. Pena, Marcel Pedroso, Reza Akbarinia, Patrick Valduriez, Fábio Porto

Proceedings of the 40th International Conference on Data Engineering, ICDE 2024, 2024

Discovering Denial Constraints in Dynamic Datasets.

Eduardo H. M. Pena, Fábio Porto, Felix Naumann

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

2023

TSPredIT: Integrated Tuning of Data Preprocessing and Time Series Prediction Models.

Rebecca Salles, Esther Pacitti, Eduardo Bezerra, Celso Marques, Carla Pacheco, Carla Oliveira, Fábio Porto, Eduardo S. Ogasawara

Trans. Large Scale Data Knowl. Centered Syst., 2023

Life Science Workflow Services (LifeSWS): Motivations and Architecture.

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

Trans. Large Scale Data Knowl. Centered Syst., 2023

SoftED: Metrics for Soft Evaluation of Time Series Event Detection.

Rebecca Salles, Janio Lima, Rafaelli Coutinho, Esther Pacitti, Florent Masseglia, Reza Akbarinia, Chao Chen, Jonathan M. Garibaldi, Fábio Porto, Eduardo S. Ogasawara

CoRR, 2023

Data Science Platform Applied to Health in Contribution to the Brazilian Unified Health System.

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

Proceedings of the Joint Proceedings of Workshops at the 49th International Conference on Very Large Data Bases (VLDB 2023), Vancouver, Canada, August 28, 2023

Subset Modelling: A Domain Partitioning Strategy for Data-efficient Machine-Learning.

Vítor Ribeiro, Eduardo H. M. Pena, Raphael de Freitas Saldanha, Reza Akbarinia, Patrick Valduriez, Falaah Arif Khan, Julia Stoyanovich, Fábio Porto

Proceedings of the 38th Brazilian Symposium on Databases, 2023

2022

Machine Learning Approaches to Extreme Weather Events Forecast in Urban Areas: Challenges and Initial Results.

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

Supercomput. Front. Innov., 2022

Fast Algorithms for Denial Constraint Discovery.

Eduardo H. M. Pena, Fábio Porto, Felix Naumann

Proc. VLDB Endow., 2022

TSPred: A framework for nonstationary time series prediction.

Rebecca Salles, Esther Pacitti, Eduardo Bezerra, Fábio Porto, Eduardo S. Ogasawara

Neurocomputing, 2022

Towards Robust Cluster-Based Hyperparameter Optimization.

Leonardo Izaú, Mariana Fortes, Vítor Ribeiro, Celso Marques, Carla Oliveira, Eduardo Bezerra, Fábio Porto, Rebecca Salles, Eduardo S. Ogasawara

Proceedings of the 37th Brazilian Symposium on Databases, 2022

Otimização de Dataflows em Frameworks de Big Data por meio do Reúso de Dados.

Gustavo Decarlo, Daniel de Oliveira, Fábio Porto

Proceedings of the 37th Brazilian Symposium on Databases, 2022

Forward and Backward Inertial Anomaly Detector: A Novel Time Series Event Detection Method.

Janio Lima, Rebecca Salles, Fábio Porto, Rafaelli Coutinho, Pedro Alpis, Luciana E. G. Escobar, Esther Pacitti, Eduardo S. Ogasawara

Proceedings of the International Joint Conference on Neural Networks, 2022

2021

Estimation of COVID-19 Under-Reporting in the Brazilian States Through SARI.

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

New Gener. Comput., 2021

Managing Hypothesis of Scientific Experiments with PhenoManager.

Leonardo S. Ramos, Fábio Porto, Daniel de Oliveira

J. Inf. Data Manag., 2021

Editorial.

Maristela Terto de Holanda, Daniel Cardoso Moraes de Oliveira, Fábio Porto

J. Inf. Data Manag., 2021

Frontmatter.

Maristela Terto de Holanda, Daniel Cardoso Moraes de Oliveira, Fábio Porto

J. Inf. Data Manag., 2021

STConvS2S: Spatiotemporal Convolutional Sequence to Sequence Network for weather forecasting.

Rafaela Castro, Yania Molina Souto, Eduardo S. Ogasawara, Fábio Porto, Eduardo Bezerra

Neurocomputing, 2021

Algorithmic Probability of Large Datasets and the Simplicity Bubble Problem in Machine Learning.

Felipe S. Abrahão, Hector Zenil, Fábio Porto, Klaus Wehmuth

CoRR, 2021

Hyperspherical embedding for novel class classification.

Rafael S. Pereira, Alexis Joly, Patrick Valduriez, Fábio Porto

CoRR, 2021

Towards optimizing the execution of spark scientific workflows using machine learning-based parameter tuning.

Douglas E. M. de Oliveira, Fábio Porto, Cristina Boeres, Daniel de Oliveira

Concurr. Comput. Pract. Exp., 2021

DJEnsemble: a Cost-Based Selection and Allocation of a Disjoint Ensemble of Spatio-temporal Models.

Rafael S. Pereira, Yania Molina Souto, Anderson Chaves da Silva, Rocío Zorilla, Brian Tsan, Florin Rusu, Eduardo S. Ogasawara, Artur Ziviani, Fábio Porto

Proceedings of the SSDBM 2021: 33rd International Conference on Scientific and Statistical Database Management, 2021

SAGAD: Synthetic Data Generator for Tabular Datasets.

Henrique Matheus F. da Silva, Rafael S. Pereira, Fábio Porto

Proceedings of the 36th Brazilian Symposium on Databases, 2021

Managing Sparse Spatio-Temporal Data in SAVIME: an Evaluation of the Ph-tree Index.

Stiw Herrera, Larissa Miguez da Silva, Paulo Ricardo Reis, Anderson Silva, Fábio Porto

Proceedings of the 36th Brazilian Symposium on Databases, 2021

Generalização de Mineração de Sequências Restritas no Espaço e no Tempo.

Antonio Castro, Heraldo Borges, Riccardo Campisano, Esther Pacitti, Fábio Porto, Rafaelli Coutinho, Eduardo S. Ogasawara

Proceedings of the 36th Brazilian Symposium on Databases, 2021

Requirements for an Ontology of Digital Twins.

Claudio Daniel Tenorio de Barros, Rebecca Salles, Eduardo S. Ogasawara, Giancarlo Guizzardi, Fábio Porto

Proceedings of the Joint Proceedings of the Semantics co-located events: Poster&Demo track and Workshop on Ontology-Driven Conceptual Modelling of Digital Twins co-located with Semantics 2021, 2021

2020

SAVIME: An Array DBMS for Simulation Analysis and ML Models Prediction.

Anderson Chaves da Silva, Hermano Lourenço Souza Lustosa, Daniel Nascimento Ramos da Silva, Fábio André Machado Porto, Patrick Valduriez

J. Inf. Data Manag., 2020

An analysis of malaria in the Brazilian Legal Amazon using divergent association rules.

Lais Baroni, Rebecca Salles, Samella Salles, Gustavo Paiva Guedes, Fábio Porto, Eduardo Bezerra, Christovam Barcellos, Marcel Pedroso, Eduardo S. Ogasawara

J. Biomed. Informatics, 2020

Spatial-time motifs discovery.

Heraldo Borges, Murillo Dutra, Amin Bazaz, Rafaelli Coutinho, Fabio Perosi, Fábio Porto, Florent Masseglia, Esther Pacitti, Eduardo S. Ogasawara

Intell. Data Anal., 2020

BioinfoPortal: A scientific gateway for integrating bioinformatics applications on the Brazilian national high-performance computing network.

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

Future Gener. Comput. Syst., 2020

Parallel computation of PDFs on big spatial data using Spark.

Ji Liu, Noel Moreno Lemus, Esther Pacitti, Fábio Porto, Patrick Valduriez

Distributed Parallel Databases, 2020

SUQ2: Uncertainty Quantification Queries over Large Spatio-temporal Simulations.

Noel Moreno Lemus, Fábio Porto, Yania Molina Souto, Rafael S. Pereira, Ji Liu, Esther Pacciti, Patrick Valduriez

IEEE Data Eng. Bull., 2020

Estimation of COVID-19 under-reporting in Brazilian States through SARI.

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

CoRR, 2020

DJEnsemble: On the Selection of a Disjoint Ensemble of Deep Learning Black-Box Spatio-temporal Models.

Yania Molina Souto, Rafael S. Pereira, Rocío Zorrilla, Anderson Chaves da Silva, Brian Tsan, Florin Rusu, Eduardo S. Ogasawara, Artur Ziviani, Fábio Porto

CoRR, 2020

Prefácio.

Fábio Porto

Proceedings of the 35th Brazilian Symposium on Databases, 2020

2019

Nonstationary time series transformation methods: An experimental review.

Rebecca Salles, Kele T. Belloze, Fábio Porto, Pedro H. Gonzalez, Eduardo S. Ogasawara

Knowl. Based Syst., 2019

SAVIME: A Multidimensional System for the Analysis and Visualization of Simulation Data.

Hermano Lustosa, Fábio Porto

CoRR, 2019

SAVIME: A Database Management System for Simulation Data Analysis and Visualization.

Hermano Lustosa, Fábio Porto, Patrick Valduriez

Proceedings of the 34th Brazilian Symposium on Databases, 2019

A Conceptual Vision Toward the Management of Machine Learning Models.

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

Proceedings of the ER Forum and Poster & Demos Session 2019 on Publishing Papers with CEUR-WS co-located with 38th International Conference on Conceptual Modeling (ER 2019), 2019

Towards a Science Gateway for Bioinformatics: Experiences in the Brazilian System of High Performance Computing.

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

Proceedings of the 19th IEEE/ACM International Symposium on Cluster, 2019

2018

Towards In-transit Analysis on Supercomputing Environments.

Allan Santos, Hermano Lustosa, Fábio Porto, Bruno Schulze

CoRR, 2018

Scientific Data Analysis Using Data-Intensive Scalable Computing: The SciDISC Project.

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

Proceedings of the Latin America Data Science Workshop co-located with 44th International Conference on Very Large Data Bases (VLDB 2018), 2018

Computation of PDFs on Big Spatial Data: Problem & Architecture.

Ji Liu, Noel Moreno Lemus, Esther Pacitti, Fábio Porto, Patrick Valduriez

Proceedings of the Latin America Data Science Workshop co-located with 44th International Conference on Very Large Data Bases (VLDB 2018), 2018

Point pattern search in big data.

Fábio Porto, João N. Rittmeyer, Eduardo S. Ogasawara, Alberto Krone-Martins, Patrick Valduriez, Dennis E. Shasha

Proceedings of the 30th International Conference on Scientific and Statistical Database Management, 2018

Automatic Caching Decision for Scientific Dataflow Execution in Apache Spark.

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

Proceedings of the 5th ACM SIGMOD Workshop on Algorithms and Systems for MapReduce and Beyond, 2018

Constellation Queries over Big Data.

Fábio Porto, Amir Khatibi, João N. Rittmeyer, Eduardo S. Ogasawara, Patrick Valduriez, Dennis E. Shasha

Proceedings of the XXXIII Simpósio Brasileiro de Banco de Dados, 2018

Rumo à Integração da Álgebra de Workflows com o Processamento de Consulta Relacional.

João Antonio Ferreira, Jorge de Abreu Soares, Fábio Porto, Esther Pacitti, Rafaelli Coutinho, Eduardo S. Ogasawara

Proceedings of the XXXIII Simpósio Brasileiro de Banco de Dados, 2018

Detecção de Anomalias Frequentes no Transporte Rodoviário Urbano.

Ana Beatriz Cruz, João Antonio Ferreira, Diego Carvalho, Eduardo Mendes, Esther Pacitti, Rafaelli Coutinho, Fábio Porto, Eduardo S. Ogasawara

Proceedings of the XXXIII Simpósio Brasileiro de Banco de Dados, 2018

A Spatiotemporal Ensemble Approach to Rainfall Forecasting.

Yania Molina Souto, Fábio Porto, Ana Maria de Carvalho Moura, Eduardo Bezerra

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Discovering Tight Space-Time Sequences.

Riccardo Campisano, Heraldo Borges, Fábio Porto, Fabio Perosi, Esther Pacitti, Florent Masseglia, Eduardo S. Ogasawara

Proceedings of the Big Data Analytics and Knowledge Discovery, 2018

Evaluating the Complementarity of Communication Tools for Learning Platforms.

Leonardo Carvalho, Laura Assis, Leonardo Silva de Lima, Eduardo Bezerra, Gustavo Paiva Guedes, Artur Ziviani, Fábio Porto, Rafael Barbastefano, Eduardo S. Ogasawara

Proceedings of the 10th International Conference on Computer Supported Education, 2018

2017

A Mixed Graph Framework to evaluate the complementarity of communication Tools.

Leonardo Carvalho, Eduardo Bezerra, Gustavo Paiva Guedes, Laura Assis, Leonardo Silva de Lima, Rafael Barbastefano, Artur Ziviani, Fábio Porto, Eduardo S. Ogasawara

PeerJ Prepr., 2017

ParallelNACluster: Uma estratégia paralela de clusterização para o casamento de múltiplos catálogos.

Vinícius Pires de Moura Freire, Fábio Porto, José A. F. de Macêdo

Proceedings of the XXXII Simpósio Brasileiro de Banco de Dados, 2017

Detecção de Anomalias no Transporte Rodoviário Urbano.

Ana Beatriz Cruz, João Antonio Ferreira, Bernardo Monteiro, Rafaelli Coutinho, Fábio Porto, Eduardo S. Ogasawara

Proceedings of the XXXII Simpósio Brasileiro de Banco de Dados, 2017

A framework for benchmarking machine learning methods using linear models for univariate time series prediction.

Rebecca Salles, Laura Assis, Gustavo Paiva Guedes, Eduardo Bezerra, Fábio Porto, Eduardo S. Ogasawara

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

TARS: An Array Model with Rich Semantics for Multidimensional Data.

Hermano Lustosa, Fábio Porto, Noel Moreno Lemus, Patrick Valduriez

Proceedings of the ER Forum 2017 and the ER 2017 Demo Track co-located with the 36th International Conference on Conceptual Modelling (ER 2017), Valencia, Spain,, 2017

Pre-processing and Indexing Techniques for Constellation Queries in Big Data.

Amir Khatibi, Fábio Porto, João Guilherme Nobre Rittmeyer, Eduardo S. Ogasawara, Patrick Valduriez, Dennis E. Shasha

Proceedings of the Big Data Analytics and Knowledge Discovery, 2017

TARDIS: Optimal Execution of Scientific Workflows in Apache Spark.

Daniel Gaspar, Fábio Porto, Reza Akbarinia, Esther Pacitti

Proceedings of the Big Data Analytics and Knowledge Discovery, 2017

2016

Database System Support of Simulation Data.

Hermano Lustosa, Fábio Porto, Pablo Blanco, Patrick Valduriez

Proc. VLDB Endow., 2016

A note on the complexity of the causal ordering problem.

Bernardo Gonçalves, Fábio Porto

Artif. Intell., 2016

Spatial Sequential Pattern Mining for Seismic Data.

Riccardo Campisano, Fábio Porto, Esther Pacitti, Florent Masseglia, Eduardo S. Ogasawara

Proceedings of the 31º Simpósio Brasileiro de Banco de Dados, 2016

2015

Modeling and Implementing Scientific Hypothesis.

Fábio Porto, Ramon G. Costa, Ana Maria de Carvalho Moura, Bernardo Gonçalves

J. Database Manag., 2015

A semantic integration approach to publish and retrieve ecological data.

Ana Maria de Carvalho Moura, Fábio Porto, Vânia Maria Ponte Vidal, Regis Pires Magalhães, Macedo Sousa Maia, Maira Poltosi, Daniele C. Palazzi

Int. J. Web Inf. Syst., 2015

Managing Scientific Hypotheses as Data with Support for Predictive Analytics.

Bernardo Gonçalves, Fábio Porto

Comput. Sci. Eng., 2015

Avaliação da Localidade de Dados Intermediários na Execução Paralela de Workflows Bigdata.

Douglas E. M. de Oliveira, Cristina Boeres, Angelo Fausti, Fábio Porto

Proceedings of the XXX Simpósio Brasileiro de Banco de Dados, 2015

Managing Simulation Data with Multidimensional Arrays.

Hermano Lustosa, Fábio Porto, Ramon G. Costa, Pablo Blanco, Patrick Valduriez

Proceedings of the XXX Simpósio Brasileiro de Banco de Dados, 2015

2014

Υ-DB: Managing scientific hypotheses as uncertain data.

Bernardo Gonçalves, Fábio Porto

Proc. VLDB Endow., 2014

Conceptual View Representation of the Brazilian Information System on Antarctic Environmental Research.

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

Data Sci. J., 2014

$Υ$-DB: A system for data-driven hypothesis management and analytics.

Bernardo Gonçalves, Frederico C. da Silva, Fábio Porto

CoRR, 2014

Design-theoretic encoding of deterministic hypotheses as constraints and correlations into U-relational databases.

Bernardo Gonçalves, Fábio Porto

CoRR, 2014

Managing large-scale scientific hypotheses as uncertain data with support for predictive analytics.

Bernardo Gonçalves, Fábio Porto

CoRR, 2014

Análise de Estratégias de Acesso a Grandes Volumes de Dados.

Douglas E. M. de Oliveira, Cristina Boeres, Fábio Porto

Proceedings of the XXIX Simpósio Brasileiro de Banco de Dados, 2014

NACluster: A Non-supervised Clustering Algorithm for Matching Multi Catalogues.

Vinícius Pires de Moura Freire, Fábio André Machado Porto, José Antônio Fernandes de Macêdo, Reza Akbarinia

Proceedings of the 10th IEEE International Conference on e-Science, 2014

2013

Dynamic Workload-Based Partitioning Algorithms for Continuously Growing Databases.

Miguel Liroz-Gistau, Reza Akbarinia, Esther Pacitti, Fábio Porto, Patrick Valduriez

Trans. Large Scale Data Knowl. Centered Syst., 2013

Data management for eScience in Brazil.

Fábio Porto, Bruno Schulze

Concurr. Comput. Pract. Exp., 2013

Chiron: a parallel engine for algebraic scientific workflows.

Eduardo S. Ogasawara, Jonas Dias, Vítor Silva, Fernando Seabra Chirigati, Daniel de Oliveira, Fábio Porto, Patrick Valduriez, Marta Mattoso

Concurr. Comput. Pract. Exp., 2013

Research lattices: towards a scientific hypothesis data model.

Bernardo Gonçalves, Fábio Porto

Proceedings of the Conference on Scientific and Statistical Database Management, 2013

Orbit: Efficient Processing of Iterations.

Douglas Ericson Marcelino de Oliveira, Fábio Porto

Proceedings of the XXVIII Simpósio Brasileiro de Banco de Dados - Short Papers, Recife, Pernambuco, Brasil, September 30, 2013

Projeto de banco de dados de simulações numéricas.

Ramon G. Costa, Fábio Porto, Bruno Schulze, Hermano Lustosa

Proceedings of the XXVIII Simpósio Brasileiro de Banco de Dados - Short Papers, Recife, Pernambuco, Brasil, September 30, 2013

QEF-LD - A Query Engine for Distributed Query Processing on Linked Data.

Regis Pires Magalhães, José Maria Monteiro, Vânia Maria P. Vidal, José Antônio Fernandes de Macêdo, Macedo Sousa Maia, Fábio Porto, Marco A. Casanova

Proceedings of the ICEIS 2013, 2013

Algebraic dataflows for big data analysis.

Jonas Dias, Eduardo S. Ogasawara, Daniel de Oliveira, Fábio Porto, Patrick Valduriez, Marta Mattoso

Proceedings of the 2013 IEEE International Conference on Big Data (IEEE BigData 2013), 2013

A Lattice-Theoretic Approach for Representing and Managing Hypothesis-driven Research.

Bernardo Gonçalves, Fábio Porto

Proceedings of the 7th Alberto Mendelzon International Workshop on Foundations of Data Management, 2013

2012

Middleware for Clouds and e-Science.

Bruno Schulze, Rajkumar Buyya, Fábio Porto

Concurr. Comput. Pract. Exp., 2012

A metaphoric trajectory data warehouse for Olympic athlete follow-up.

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

Concurr. Comput. Pract. Exp., 2012

The Impact of Hypervisor Layer on Database Applications.

Daniel Yokoyama, Victor Dias de Oliveira, Henrique Kloh, Matheus Bandini, Fábio Porto, Bruno Schulze, Antonio Roberto Mury

Proceedings of the IEEE Fifth International Conference on Utility and Cloud Computing, 2012

A Representation Model for Virtual Machine Allocation.

Giacomo V. McEvoy, Fábio Porto, Bruno Schulze

Proceedings of the IEEE Fifth International Conference on Utility and Cloud Computing, 2012

Evaluating parameter sweep workflows in high performance computing.

Fernando Chirigati, Vítor Silva, Eduardo S. Ogasawara, Daniel de Oliveira, Jonas Dias, Fábio Porto, Patrick Valduriez, Marta Mattoso

Proceedings of the 1st ACM SIGMOD Workshop on Scalable Workflow Execution Engines and Technologies, 2012

On the Semantic Engineering of Scientific Hypotheses as Linked Data.

Bernardo Gonçalves, Fábio Porto, Ana Maria de Carvalho Moura

Proceedings of the Second International Workshop on Linked Science 2012, 2012

Desenvolvimento de Linked Data Mashups com o uso de LIDMS.

Regis Pires Magalhães, Macedo Sousa Maia, Vânia Maria Ponte Vidal, José Antônio Fernandes de Macêdo, José Maria Monteiro, Fábio André Machado Porto

Proceedings of the XXVII Simpósio Brasileiro de Banco de Dados, 2012

Integrating Ecological Data Using Linked Data Principles.

Ana Maria de Carvalho Moura, Fábio Porto, Maira Poltosi, Daniele C. Palazzi, Regis Pires Magalhães, Vânia Maria P. Vidal

Proceedings of Joint V Seminar on Ontology Research in Brazil and VII International Workshop on Metamodels, 2012

A Scientific Hypothesis Conceptual Model.

Fábio Porto, Ana Maria de Carvalho Moura, Bernardo Gonçalves, Ramon G. Costa, Stefano Spaccapietra

Proceedings of the Advances in Conceptual Modeling, 2012

Dynamic Workload-Based Partitioning for Large-Scale Databases.

Miguel Liroz-Gistau, Reza Akbarinia, Esther Pacitti, Fábio Porto, Patrick Valduriez

Proceedings of the Database and Expert Systems Applications, 2012

Towards Analytical Data Management for Numerical Simulations.

Ramon G. Costa, Fábio Porto, Bruno Schulze

Proceedings of the 6th Alberto Mendelzon International Workshop on Foundations of Data Management, 2012

2011

An Algebraic Approach for Data-Centric Scientific Workflows.

Eduardo S. Ogasawara, Daniel de Oliveira, Patrick Valduriez, Jonas Dias, Fábio Porto, Marta Mattoso

Proc. VLDB Endow., 2011

Query Processing in a Mediator Based Framework for Linked Data Integration.

Vânia Maria Ponte Vidal, José Antônio Fernandes de Macêdo, João Carlos Pinheiro, Marco A. Casanova, Fábio Porto

Int. J. Bus. Data Commun. Netw., 2011

Supporting dynamic parameter sweep in adaptive and user-steered workflow.

Jonas Dias, Eduardo S. Ogasawara, Daniel de Oliveira, Fábio Porto, Alvaro L. G. A. Coutinho, Marta Mattoso

Proceedings of the WORKS'11, 2011

2010

Optimizing the pre-processing of scientific visualization techniques using QEF.

Douglas Oliveira, Fábio Porto, Gilson A. Giraldi, Bruno Schulze, Raquel Coelho Gomes Pinto

Proceedings of the 8th International Workshop on Middleware for Grids, 2010

Query processing in a three-level ontology-based data integration system.

João Carlos Pinheiro, Vânia Maria Ponte Vidal, José Antônio Fernandes de Macêdo, Eveline R. Sacramento, Marco A. Casanova, Fábio Porto

Proceedings of the iiWAS'2010, 2010

2009

Functional Dependencies in OWL ABOX.

Jean-Paul Calbimonte, Fábio Porto, C. Maria Keet

Proceedings of the XXIV Simpósio Brasileiro de Banco de Dados, 2009

2008

A conceptual view on trajectories.

Stefano Spaccapietra, Christine Parent, Maria Luisa Damiani, José Antônio Fernandes de Macêdo, Fábio Porto, Christelle Vangenot

Data Knowl. Eng., 2008

Towards a Scientific Model Management System.

Fábio Porto, José Antônio Fernandes de Macêdo, Javier Sanchez Tamargo, Yuanjian Wang Zufferey, Vânia Maria P. Vidal, Stefano Spaccapietra

Proceedings of the Advances in Conceptual Modeling - Challenges and Opportunities, 2008

Towards automatic generation of AXML web services for dynamic data integration.

Vânia M. P. Vidal, Fernando Cordeiro Lemos, Fábio Porto

Proceedings of the 2008 EDBT Workshop on Database Technologies for Handling XML Information on the Web, 2008

Data Model for Scientific Models and Hypotheses.

Fábio Porto, Stefano Spaccapietra

Proceedings of the Evolution of Conceptual Modeling, 2008

2007

The ROSA project: leveraging e-learning to a semantic layer.

Fábio Porto, Ana Maria de Carvalho Moura, Fábio José Coutinho da Silva, Adriana Pereira Fernandez

Int. J. Knowl. Learn., 2007

An Extensible and Personalized Approach to QoS-enabled Service Discovery.

Le-Hung Vu, Fábio Porto, Karl Aberer, Manfred Hauswirth

Proceedings of the Eleventh International Database Engineering and Applications Symposium (IDEAS 2007), 2007

QEF - Supporting Complex Query Applications.

Fábio Porto, Othman Tajmouati, Vinícius F. V. da Silva, Bruno Schulze, Fausto V. M. Ayres

Proceedings of the Seventh IEEE International Symposium on Cluster Computing and the Grid (CCGrid 2007), 2007

A Conceptual Data Model Language for the Molecular Biology Domain.

José Antônio Fernandes de Macêdo, Fábio Porto, Sérgio Lifschitz, Philippe Picouet

Proceedings of the 20th IEEE International Symposium on Computer-Based Medical Systems (CBMS 2007), 2007

Dealing with Some Conceptual Data Model Requirements for Biological Domains.

José Antônio Fernandes de Macêdo, Fábio Porto, Sérgio Lifschitz, Philippe Picouet

Proceedings of the 21st International Conference on Advanced Information Networking and Applications (AINA 2007), 2007

2006

A search engine for QoS-enabled discovery of semantic web services.

Le-Hung Vu, Manfred Hauswirth, Fábio Porto, Karl Aberer

Int. J. Bus. Process. Integr. Manag., 2006

An adaptive parallel query processing middleware for the Grid.

Vinícius F. V. da Silva, Márcio L. Dutra, Fábio Porto, Bruno Schulze, Álvaro Cesar P. Barbosa, Jauvane C. de Oliveira

Concurr. Comput. Pract. Exp., 2006

Symptoms Ontology for Mapping Diagnostic Knowledge Systems.

Robert Minchin, Fábio Porto, Christelle Vangenot, Sven Hartmann

Proceedings of the 19th IEEE International Symposium on Computer-Based Medical Systems (CBMS 2006), 2006

2005

Reasoning on Dynamically Built Reasoning Space with Ontology Modules.

Fábio Porto

Proceedings of the On the Move to Meaningful Internet Systems 2005: CoopIS, 2005

An Adaptive Distributed Query Processing Grid Service.

Fábio Porto, Vinícius F. V. da Silva, Márcio L. Dutra, Bruno Schulze

Proceedings of the Data Management in Grids, First VLDB Workshop, 2005

2004

CoDIMS: an adaptable middleware system for scientific visualization in Grids.

Fábio Porto, Gilson A. Giraldi, Jauvane C. de Oliveira, Rodrigo L. S. Silva, Bruno Schulze

Concurr. Pract. Exp., 2004

Query Processing in ROSA Data Model.

Fábio Coutinho, Fábio Porto

Proceedings of the XIX Simpósio Brasileiro de Bancos de Dados, 2004

CoDIMS-G: a data and program integration service for the grid.

Vinícius Fontes, Bruno Schulze, Márcio L. Dutra, Fábio Porto, Álvaro Cesar P. Barbosa

Proceedings of the 2nd Workshop on Middleware for Grid Computing, 2004

ROSA: A Repository of Objects with Semantic Access for e-Learning.

Fábio Porto, Ana Maria de Carvalho Moura, Fábio José Coutinho da Silva

Proceedings of the 8th International Database Engineering and Applications Symposium (IDEAS 2004), 2004

A workflow-based architecture for E-learning in the Grid.

Luiz Antônio M. Pereira, Rubens N. Melo, Fábio Porto, Bruno Schulze

Proceedings of the 4th IEEE/ACM International Symposium on Cluster Computing and the Grid (CCGrid 2004), 2004

2003

Cherry Picking: A Semantic Query Processing Strategy for the Evaluation of Expensive Predicates.

Fábio Porto, Eduardo Sany Laber, Patrick Valduriez

Proceedings of the XVIII Simpósio Brasileiro de Bancos de Dados, 2003

Uma Máquina Extensível para Suporte a Novos Modelos de Execução de Consultas.

Fausto V. M. Ayres, Fábio Porto, Rubens N. Melo

Proceedings of the XVIII Simpósio Brasileiro de Bancos de Dados, 2003

ROSA: A Data Model and Query Language for e-Learning Objects.

Fábio Porto, Ana Maria de Carvalho Moura, Adriana Pereira Fernandez, Abílio Fernandes, Fábio José Coutinho da Silva, Gilda Helena Bernardino de Campos, Laura Coutinho

Proceedings of the PGLDB'2003, 2003

An Ontology-Based Approach for Organizing, Sharing, and Querying Knowledge Objects on the Web.

Abílio Fernandes, Ana Maria de Carvalho Moura, Fábio Porto

Proceedings of the 14th International Workshop on Database and Expert Systems Applications (DEXA'03), 2003

2002

Configurable Data Integration Middleware System.

Álvaro Cesar P. Barbosa, Fábio Porto, Rubens N. Melo

J. Braz. Comput. Soc., 2002

2001

Configurable Data Integration Middleware System.

Álvaro Cesar P. Barbosa, Fábio Porto

Proceedings of the International Workshop on Information Integration on the Web, 2001

Processing Queries with Expensive Functions and Large Objects in Distributed Mediator Systems.

Luc Bouganim, Françoise Fabret, Fábio Porto, Patrick Valduriez

Proceedings of the 17th International Conference on Data Engineering, 2001

1999

Persistent Object Synchronization with Active Relational Databases.

Fábio Porto, Sergio E. R. de Carvalho, Mauricio J. V. de Silva, Rubens N. Melo

Proceedings of the TOOLS 1999: 30th International Conference on Technology of Object-Oriented Languages and Systems, Delivering Quality Software, 1999

1998

Object Life-Cycles in Active Relational Databases.

Fábio Porto, Mauricio J. V. Silva, Sergio E. R. de Carvalho

Proceedings of the TOOLS 1998: 26th International Conference on Technology of Object-Oriented Languages and Systems, 1998