Eduardo S. Ogasawara

Orcid: 0000-0002-0466-0626

According to our database1, Eduardo S. Ogasawara authored at least 110 papers between 1999 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Evaluation of the Brazilian Portuguese version of linguistic inquiry and word count 2015 (BP-LIWC2015).
Lang. Resour. Evaluation, March, 2024

2023
Towards accurate recommendations of merge conflicts resolution strategies.
Inf. Softw. Technol., December, 2023

Applying Gestalt approach as a method for teaching computer science practice in the classroom: A case study in primary schools in Brazil.
Educ. Inf. Technol., February, 2023

TSPredIT: Integrated Tuning of Data Preprocessing and Time Series Prediction Models.
Trans. Large Scale Data Knowl. Centered Syst., 2023

Life Science Workflow Services (LifeSWS): Motivations and Architecture.
Trans. Large Scale Data Knowl. Centered Syst., 2023

SoftED: Metrics for Soft Evaluation of Time Series Event Detection.
CoRR, 2023

Data Science Platform Applied to Health in Contribution to the Brazilian Unified Health System.
Proceedings of the Joint Proceedings of Workshops at the 49th International Conference on Very Large Data Bases (VLDB 2023), Vancouver, Canada, August 28, 2023

Apresentação e Organização.
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.
Supercomput. Front. Innov., 2022

TSPred: A framework for nonstationary time series prediction.
Neurocomputing, 2022

Analyzing flight delay prediction under concept drift.
Evol. Syst., 2022

A horizontal partitioning-based method for frequent pattern mining in transport timetable.
Expert Syst. J. Knowl. Eng., 2022

A Data-Driven Model Selection Approach to Spatio-Temporal Prediction.
Proceedings of the 37th Brazilian Symposium on Databases, 2022

Towards Robust Cluster-Based Hyperparameter Optimization.
Proceedings of the 37th Brazilian Symposium on Databases, 2022

Forward and Backward Inertial Anomaly Detector: A Novel Time Series Event Detection Method.
Proceedings of the International Joint Conference on Neural Networks, 2022

2021
Estimation of COVID-19 Under-Reporting in the Brazilian States Through SARI.
New Gener. Comput., 2021

Evaluating Temporal Bias in Time Series Event Detection Methods.
J. Inf. Data Manag., 2021

STConvS2S: Spatiotemporal Convolutional Sequence to Sequence Network for weather forecasting.
Neurocomputing, 2021

DJEnsemble: a Cost-Based Selection and Allocation of a Disjoint Ensemble of Spatio-temporal Models.
Proceedings of the SSDBM 2021: 33rd International Conference on Scientific and Statistical Database Management, 2021

Análise de métodos de tratamento de outliers para predição dos retornos de índices de ações negociados em bolsa.
Proceedings of the 36th Brazilian Symposium on Databases, 2021

Generalização de Mineração de Sequências Restritas no Espaço e no Tempo.
Proceedings of the 36th Brazilian Symposium on Databases, 2021

Requirements for an Ontology of Digital Twins.
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

Supporting the Learning of Evolution Theory Using an Educational Simulator.
IEEE Trans. Learn. Technol., 2020

An analysis of malaria in the Brazilian Legal Amazon using divergent association rules.
J. Biomed. Informatics, 2020

Spatial-time motifs discovery.
Intell. Data Anal., 2020

Estimation of COVID-19 under-reporting in Brazilian States through SARI.
CoRR, 2020

DJEnsemble: On the Selection of a Disjoint Ensemble of Deep Learning Black-Box Spatio-temporal Models.
CoRR, 2020

Harbinger: Um framework para integração e análise de métodos de detecção de eventos em séries temporais.
Proceedings of the 35th Brazilian Symposium on Databases, 2020

Wind Turbine Fault Detection: A Semi-Supervised Learning Approach With Automatic Evolutionary Feature Selection.
Proceedings of the 2020 International Conference on Systems, Signals and Image Processing, 2020

Estimating the Execution Time of the Coupled Stage in Multiscale Numerical Simulations.
Proceedings of the High Performance Computing - 7th Latin American Conference, 2020

2019
Nonstationary time series transformation methods: An experimental review.
Knowl. Based Syst., 2019

Discovering patterns in sentimental analysis.
Proceedings of the 25th Brazillian Symposium on Multimedia and the Web, 2019

Modelo Autorregressivo de Integração Adaptativa.
Proceedings of the 34th Brazilian Symposium on Databases, 2019

A Science Gateway to Support Research in Spectral Graph Theory.
Proceedings of the 34th Brazilian Symposium on Databases, 2019

A Conceptual Vision Toward the Management of Machine Learning Models.
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

2018
Scientific Data Analysis Using Data-Intensive Scalable Computing: The SciDISC Project.
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.
Proceedings of the 30th International Conference on Scientific and Statistical Database Management, 2018

Constellation Queries over Big Data.
Proceedings of the XXXIII Simpósio Brasileiro de Banco de Dados, 2018

Rumo à Integração da Álgebra de Workflows com o Processamento de Consulta Relacional.
Proceedings of the XXXIII Simpósio Brasileiro de Banco de Dados, 2018

Detecção de Anomalias Frequentes no Transporte Rodoviário Urbano.
Proceedings of the XXXIII Simpósio Brasileiro de Banco de Dados, 2018

On Evaluating Data Preprocessing Methods for Machine Learning Models for Flight Delays.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Discovering Tight Space-Time Sequences.
Proceedings of the Big Data Analytics and Knowledge Discovery, 2018

Orthographic Educational Game for Portuguese Language Countries.
Proceedings of the 10th International Conference on Computer Supported Education, 2018

Evaluating the Complementarity of Communication Tools for Learning Platforms.
Proceedings of the 10th International Conference on Computer Supported Education, 2018

Control and Security System for Classroom Access Based on Facial Recognition.
Proceedings of the XLIV Latin American Computer Conference, 2018

2017
A Mixed Graph Framework to evaluate the complementarity of communication Tools.
PeerJ Prepr., 2017

Deriving scientific workflows from algebraic experiment lines: A practical approach.
Future Gener. Comput. Syst., 2017

A Review on Flight Delay Prediction.
CoRR, 2017

Detecção de Anomalias no Transporte Rodoviário Urbano.
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.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Pre-processing and Indexing Techniques for Constellation Queries in Big Data.
Proceedings of the Big Data Analytics and Knowledge Discovery, 2017

2016
Discovering top-k non-redundant clusterings in attributed graphs.
Neurocomputing, 2016

Evaluating temporal aggregation for predicting the sea surface temperature of the Atlantic Ocean.
Ecol. Informatics, 2016

Towards a Model for Personality-Based Agents for Emotional Responses.
Proceedings of the 22nd Brazilian Symposium on Multimedia and the Web, 2016

Spatial Sequential Pattern Mining for Seismic Data.
Proceedings of the 31º Simpósio Brasileiro de Banco de Dados, 2016

Exploring machine learning methods for the Star/Galaxy Separation Problem.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

2015
Dynamic steering of HPC scientific workflows: A survey.
Future Gener. Comput. Syst., 2015

Evaluating Linear Models as a Baseline for Time Series Imputation.
Proceedings of the XXX Simpósio Brasileiro de Banco de Dados, 2015

Exploring multiple clusterings in attributed graphs.
Proceedings of the 30th Annual ACM Symposium on Applied Computing, 2015

Amê: an environment to learn and analyze adversarial search algorithms using stochastic card games.
Proceedings of the 30th Annual ACM Symposium on Applied Computing, 2015

2014
MAM: Método para Agrupamentos Múltiplos em Redes Sociais Online Baseado em Emoções, Personalidades e Textos.
Braz. J. Inf. Syst., 2014

Towards a UML-based Reference Model for Blended Learning.
Int. J. Recent Contributions Eng. Sci. IT, 2014

2013
Performance Analysis of Data Filtering in Scientific Workflows.
J. Inf. Data Manag., 2013

A Forecasting Method for Fertilizers Consumption in Brazil.
Int. J. Agric. Environ. Inf. Syst., 2013

Performance evaluation of parallel strategies in public clouds: A study with phylogenomic workflows.
Future Gener. Comput. Syst., 2013

Designing a parallel cloud based comparative genomics workflow to improve phylogenetic analyses.
Future Gener. Comput. Syst., 2013

Chiron: a parallel engine for algebraic scientific workflows.
Concurr. Comput. Pract. Exp., 2013

Runtime Dynamic Structural Changes of Scientific Workflows in Clouds.
Proceedings of the IEEE/ACM 6th International Conference on Utility and Cloud Computing, 2013

User-steering of HPC workflows: state-of-the-art and future directions.
Proceedings of the 2nd ACM SIGMOD Workshop on Scalable Workflow Execution Engines and Technologies, 2013

SciLightning: A Cloud Provenance-Based Event Notification for Parallel Workflows.
Proceedings of the Service-Oriented Computing - ICSOC 2013 Workshops, 2013

Dimensioning the virtual cluster for parallel scientific workflows in clouds.
Proceedings of the ScienceCloud'13, 2013

Provenance traces from Chiron parallel workflow engine.
Proceedings of the Joint 2013 EDBT/ICDT Conferences, 2013

Capturing and querying workflow runtime provenance with PROV: a practical approach.
Proceedings of the Joint 2013 EDBT/ICDT Conferences, 2013

Algebraic dataflows for big data analysis.
Proceedings of the 2013 IEEE International Conference on Big Data (IEEE BigData 2013), 2013

2012
Ontology-based Semi-automatic Workflow Composition.
J. Inf. Data Manag., 2012

An adaptive parallel execution strategy for cloud-based scientific workflows.
Concurr. Comput. Pract. Exp., 2012

ProvManager: a provenance management system for scientific workflows.
Concurr. Comput. Pract. Exp., 2012

Exploring Molecular Evolution Reconstruction Using a Parallel Cloud Based Scientific Workflow.
Proceedings of the Advances in Bioinformatics and Computational Biology, 2012

Evaluating parameter sweep workflows in high performance computing.
Proceedings of the 1st ACM SIGMOD Workshop on Scalable Workflow Execution Engines and Technologies, 2012

Abstract: Using Provenance to Visualize Data from Large-Scale Experiments.
Proceedings of the 2012 SC Companion: High Performance Computing, 2012

Handling Failures in Parallel Scientific Workflows Using Clouds.
Proceedings of the 2012 SC Companion: High Performance Computing, 2012

Using Provenance Analyzers to Improve the Performance of Scientific Workflows in Cloud Environments.
Proceedings of the XXVII Simpósio Brasileiro de Banco de Dados, 2012

Using Domain-Specific Data to Enhance Scientific Workflow Steering Queries.
Proceedings of the Provenance and Annotation of Data and Processes, 2012

Enabling Re-executions of Parallel Scientific Workflows Using Runtime Provenance Data.
Proceedings of the Provenance and Annotation of Data and Processes, 2012

Discovering drug targets for neglected diseases using a pharmacophylogenomic cloud workflow.
Proceedings of the 8th IEEE International Conference on E-Science, 2012

2011
An Algebraic Approach for Scientific Workflows with Large Scale Data (Une Approche Algébrique pour les Workflows Scientifiques Orientés-Données).
PhD thesis, 2011

An Algebraic Approach for Data-Centric Scientific Workflows.
Proc. VLDB Endow., 2011

Many task computing for orthologous genes identification in protozoan genomes using Hydra.
Concurr. Comput. Pract. Exp., 2011

SciPhy: A Cloud-Based Workflow for Phylogenetic Analysis of Drug Targets in Protozoan Genomes.
Proceedings of the Advances in Bioinformatics and Computational Biology, 2011

Supporting dynamic parameter sweep in adaptive and user-steered workflow.
Proceedings of the WORKS'11, 2011

Poster: scientific data parallelism using P2P technique.
Proceedings of the Conference on High Performance Computing Networking, Storage and Analysis, 2011

SciCumulus-ECM: Um Serviço de Custos para a Execução de Workflows Científicos em Nuvens Computacionais.
Proceedings of the XXVI Simpósio Brasileiro de Banco de Dados, 2011

Adding Ontologies to Scientific Workflow Composition.
Proceedings of the XXVI Simpósio Brasileiro de Banco de Dados, 2011

Optimizing Phylogenetic Analysis Using SciHmm Cloud-based Scientific Workflow.
Proceedings of the IEEE 7th International Conference on E-Science, 2011

A Performance Evaluation of X-Ray Crystallography Scientific Workflow Using SciCumulus.
Proceedings of the IEEE International Conference on Cloud Computing, 2011

2010
Towards supporting the life cycle of large scale scientific experiments.
Int. J. Bus. Process. Integr. Manag., 2010

A P2P Approach to Many Tasks Computing for Scientific Workflows.
Proceedings of the High Performance Computing for Computational Science - VECPAR 2010, 2010

Improving Many-Task computing in scientific workflows using P2P techniques.
Proceedings of the 3rd Workshop on Many-Task Computing on Grids and Supercomputers, 2010

Athena: Text Mining Based Discovery of Scientific Workflows in Disperse Repositories.
Proceedings of the Resource Discovery - Third International Workshop, 2010

GExpLine: A Tool for Supporting Experiment Composition.
Proceedings of the Provenance and Annotation of Data and Processes, 2010

Integrating Provenance Data from Distributed Workflow Systems with ProvManager.
Proceedings of the Provenance and Annotation of Data and Processes, 2010

Adaptive Normalization: A novel data normalization approach for non-stationary time series.
Proceedings of the International Joint Conference on Neural Networks, 2010

Data parallelism in bioinformatics workflows using Hydra.
Proceedings of the 19th ACM International Symposium on High Performance Distributed Computing, 2010

SciCumulus: A Lightweight Cloud Middleware to Explore Many Task Computing Paradigm in Scientific Workflows.
Proceedings of the IEEE International Conference on Cloud Computing, 2010

2009
Experiment Line: Software Reuse in Scientific Workflows.
Proceedings of the Scientific and Statistical Database Management, 2009

Exploring many task computing in scientific workflows.
Proceedings of the 2nd Workshop on Many-Task Computing on Grids and Supercomputers, 2009

Neural networks cartridges for data mining on time series.
Proceedings of the International Joint Conference on Neural Networks, 2009

Comparison and versioning of scientific workflows.
Proceedings of the 2009 ICSE Workshop on Comparison and Versioning of Software Models, 2009

1999
Uma Avaliação Experimental sobre Técnicas de Indexação em Bancos de Dados Orientados a Objetos.
Proceedings of the XIV Simpósio Brasileiro de Banco de Dados, 1999


  Loading...