Daniel de Oliveira

ORCID

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 111

Top Venues

SBBD

J. Inf. Data Manag.

Future Gener. Comput. Syst.

CoRR

Publications

Liliane N. O. Kunstmann, Débora B. Pina, Daniel de Oliveira, Marta Mattoso
ProvDeploy: Provenance-oriented Containerization of High Performance Computing Scientific Workflows. CoRR (2024)
Débora B. Pina, Adriane Chapman, Liliane N. O. Kunstmann, Daniel de Oliveira, Marta Mattoso
DLProv: A Data-Centric Support for Deep Learning Workflow Analyses. DEEM@SIGMOD (2024)
Raslan Ribeiro, Rafaelli Coutinho, Daniel de Oliveira
APOENA: Towards a Cloud Dimensioning Approach for Executing SQL-like Workloads Using Machine Learning and Provenance. ICEIS (1) (2024)
João Silva-Leite, Cristina A. P. Fontes, Alair S. Santos, Diogo G. Correa, Marcel Koenigkam-Santos, Paulo M. Azevedo-Marques, Daniel de Oliveira, Aline Paes, Marcos V. N. Bedo
Aggregating embeddings from image and radiology reports for multimodal Chest-CT retrieval. CBMS (2024)
Gabriel Assis, Annie Amorim, Jonnatahn Carvalho, Daniel de Oliveira, Daniela Q. C. Vianna, Aline Paes
Exploring Portuguese Hate Speech Detection in Low-Resource Settings: Lightly Tuning Encoder Models or In-Context Learning of Large Models? PROPOR (2024)
Carolina Veiga Ferreira de Souza, Suzanna Maria Bonnet, Daniel de Oliveira, Márcio Cataldi, Fabio Miranda, Marcos Lage
PW: A Visual Approach for Building, Managing, and Analyzing Weather Simulation Ensembles at Runtime. IEEE Trans. Vis. Comput. Graph. 30 (1) (2024)
Elbe Miranda, Aline Paes, Daniel de Oliveira
SPARQL can also talk in Portuguese: answering natural language questions with knowledge graphs. PROPOR (2024)
Mauro Weber, João Silva-Leite, Lúcio F. D. Santos, Daniel de Oliveira, Marcos V. N. Bedo
Enriching Hierarchical Navigable Small World Searches with Result Diversification. DEXA (1) (2024)
Matheus Vieira, Thiago de Oliveira, Leandro Cicco, Daniel de Oliveira, Marcos V. N. Bedo
From Tracking Lineage to Enhancing Data Quality and Auditing: Adding Provenance Support to Data Warehouses with ProvETL. ICEIS (1) (2024)
Maicon Banni, Maria Luiza Furtuozo Falci, Isabel Rosseti, Daniel de Oliveira
Hurricane: a Dataflow-oriented Data Service for Smart Cities Applications. J. Inf. Data Manag. 14 (1) (2023)
Sandro Bonadia, Rogério Gama, Daniel de Oliveira, Fabio Miranda, Marcos Lage
Visual Analytics Using Heterogeneous Urban Data. SIBGRAPI (2023)
Carolina Veiga Ferreira de Souza, Suzanna Maria Bonnet, Daniel de Oliveira, Márcio Cataldi, Fabio Miranda, Marcos Lage
ProWis: A Visual Approach for Building, Managing, and Analyzing Weather Simulation Ensembles at Runtime. CoRR (2023)
Lyncoln S. de Oliveira, Liliane N. O. Kunstmann, Débora B. Pina, Daniel de Oliveira, Marta Mattoso
PINNProv: Provenance for Physics-Informed Neural Networks. SBAC-PADW (2023)
Alan L. Nunes, Alba C. M. A. Melo, Claude Tadonki, Cristina Boeres, Daniel de Oliveira, Lúcia Maria de Assumpção Drummond
Optimizing computational costs of Spark for SARS-CoV-2 sequences comparisons on a commercial cloud. Concurr. Comput. Pract. Exp. 35 (18) (2023)
Raffael M. Paranhos, Marcos Lage, Daniel de Oliveira
Uso de Grafos de Proveniência para Análise Temporal de Uso do Solo em Centros Urbanos: uma Abordagem Prática. SBBD (2023)
Luiz Gustavo Dias, Bruno Lopes, Daniel de Oliveira
MAESTRO: Uma Abordagem para a Composição e Análise de Workflows Baseados em Scripts por Meio de Ontologias. SBBD (2023)
Vinícius Souza, Luiz Olmes Carvalho, Daniel de Oliveira, Marcos V. N. Bedo, Lúcio F. D. Santos
Adding Result Diversification to kNN-Based Joins in a Map-Reduce Framework. DEXA (1) (2023)
Ygor Rolim, Danielly Alves, Flávia Clemente, Daniel de Oliveira
NewsCollab: Fostering Data-driven Journalism with Crowdsourcing. CSCWD (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)
Débora B. Pina, Adriane Chapman, Daniel de Oliveira, Marta Mattoso
Deep Learning Provenance Data Integration: a Practical Approach. WWW (Companion Volume) (2023)
Daniel L. Jasbick, Lúcio F. D. Santos, Paulo M. Azevedo-Marques, Agma J. M. Traina, Daniel de Oliveira, Marcos V. N. Bedo
Pushing diversity into higher dimensions: The LID effect on diversified similarity searching. Inf. Syst. 114 (2023)
Camila R. Lopes, Alan L. Nunes, Cristina Boeres, Lúcia M. A. Drummond, Daniel de Oliveira
Provenance-Based Dynamic Fine-Tuning of Cross-Silo Federated Learning. CARLA (2023)
Daniel da Silva Junior, Paulo Roberto dos S. Corval, Aline Paes, Daniel de Oliveira
Datasets for Portuguese Legal Semantic Textual Similarity: Comparing weak supervision and an annotation process approaches. CoRR (2023)
Claudio V. Ribeiro, Aline Paes, Daniel de Oliveira
AIS-based maritime anomaly traffic detection: A review. Expert Syst. Appl. 231 (2023)
João Loureiro, Daniel de Oliveira
ORBITER: um Arcabouço para Implantação Automática de Aplicações Big Data em Arquiteturas Serverless. SBBD (2022)
Maristela Holanda, Daniel de Oliveira
Editorial. J. Inf. Data Manag. 13 (4) (2022)
Lorenna Christ'na Nascimento, Rodolfo P. Chagas, Marcos Lage, Daniel de Oliveira
Beyond Click-and-View: a Comparative Study of Data Management Approaches for Interactive Visualization. J. Inf. Data Manag. 13 (3) (2022)
Gustavo Decarlo, Daniel de Oliveira, Fábio Porto
Otimização de Dataflows em Frameworks de Big Data por meio do Reúso de Dados. SBBD (2022)
Murilo B. Stockinger, Marcos A. Guerine, Ubiratam de Paula Junior, Filipe Santiago, Yuri Frota, Isabel Rosseti, Alexandre Plastino, Daniel de Oliveira
A Provenance-based Execution Strategy for Variant GPU-accelerated Scientific Workflows in Clouds. J. Grid Comput. 20 (4) (2022)
Débora B. Pina, Liliane N. O. Kunstmann, Felipe Bevilaqua, Isabela Siqueira, Alan De Oliveira Lyra, Daniel de Oliveira, Marta Mattoso
Capturing Provenance from Deep Learning Applications Using Keras-Prov and Colab: a Practical Approach. J. Inf. Data Manag. 13 (5) (2022)
Bruno Cunha Sá, Gustavo Muller, Maicon Banni, Wagner Santos, Marcos Lage, Isabel Rosseti, Yuri Frota, Daniel de Oliveira
PolRoute-DS: a Crime Dataset for Optimization-based Police Patrol Routing. J. Inf. Data Manag. 13 (1) (2022)
Nicolas Atmatzides, Marcos V. N. Bedo, Daniel de Oliveira
Adoção de SGBDs NoSQL em Empresas Brasileiras: um Levantamento Preliminar. SBBD (2022)
Annie Amorim, Nils Murrugarra-Llerena, Vítor Silva, Daniel de Oliveira, Aline Paes
Modelagem de Tópicos em Textos Curtos: uma Avaliação Experimental. SBBD (2022)
Lucas Bertelli, Victor Ströele, Javam Machado, Daniel de Oliveira
Privacidade Diferencial em Sistemas Polystore: uma Abordagem Prática. SBBD (2022)
Lyncoln S. de Oliveira, Rômulo M. Silva, Liliane N. O. Kunstmann, Débora B. Pina, Daniel de Oliveira, Alvaro L. G. A. Coutinho, Marta Mattoso
Dados de proveniência para redes neurais guiadas pela Física: o caso da equação eikonal. SBBD (2022)
Maicon Banni, Isabel Rosseti, Daniel de Oliveira
HURRICANE: um Serviço para Gerência de Dados de Aplicações de Cidades Inteligentes. SBBD (2022)
Renan Souza, Vítor Silva, Alexandre A. B. Lima, Daniel de Oliveira, Patrick Valduriez, Marta Mattoso
Distributed In-memory Data Management for Workflow Executions. CoRR (2021)
Camila R. Lopes, Lúcio F. D. Santos, Daniel L. Jasbick, Daniel de Oliveira, Marcos V. N. Bedo
An empirical assessment of quality metrics for diversified similarity searching. J. Inf. Data Manag. 12 (3) (2021)
Liliane N. O. Kunstmann, Débora B. Pina, Filipe Silva, Aline Paes, Patrick Valduriez, Daniel de Oliveira, Marta Mattoso
Online Deep Learning Hyperparameter Tuning based on Provenance Analysis. J. Inf. Data Manag. 12 (5) (2021)
João V. O. Novaes, Lúcio F. D. Santos, Luiz Olmes Carvalho, Daniel de Oliveira, Marcos V. N. Bedo, Agma J. M. Traina, Caetano Traina Jr.
J-EDA: A workbench for tuning similarity and diversity search parameters in content-based image retrieval. J. Inf. Data Manag. 12 (2) (2021)
Renan Souza, Vítor Silva, Alexandre A. B. Lima, Daniel de Oliveira, Patrick Valduriez, Marta Mattoso
Distributed in-memory data management for workflow executions. PeerJ Comput. Sci. 7 (2021)
Maria Luiza Furtuozo Falci, Andréa Magalhães Magdaleno, Aline Paes, Vanessa Braganholo, Daniel de Oliveira
Multimodal Provenance-based Analysis of Collaboration in Business Processes. J. Inf. Data Manag. 12 (5) (2021)
Vinícius Salazar, João Cavalcante, Daniel de Oliveira, Fabiano L. Thompson, Marta Mattoso
BioProv - A provenance library for bioinformatics workflows. J. Open Source Softw. 6 (67) (2021)
Gaëtan Heidsieck, Daniel de Oliveira, Esther Pacitti, Christophe Pradal, François Tardieu, Patrick Valduriez
Cache-aware scheduling of scientific workflows in a multisite cloud. Future Gener. Comput. Syst. 122 (2021)
André Nascimento, Vítor Silva, Aline Paes, Daniel de Oliveira
An incremental reinforcement learning scheduling strategy for data-intensive scientific workflows in the cloud. Concurr. Comput. Pract. Exp. 33 (11) (2021)
Daniel Silva Junior, Esther Pacitti, Aline Paes, Daniel de Oliveira
Provenance-and machine learning-based recommendation of parameter values in scientific workflows. PeerJ Comput. Sci. 7 (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)
Débora B. Pina, Liliane N. O. Kunstmann, Daniel de Oliveira, Patrick Valduriez, Marta Mattoso
Provenance Supporting Hyperparameter Analysis in Deep Neural Networks. IPAW (2021)
Leonardo S. Ramos, Fábio Porto, Daniel de Oliveira
Managing Hypothesis of Scientific Experiments with PhenoManager. J. Inf. Data Manag. 12 (2) (2021)
Marcelo N. Almeida, Rodolfo Alves de Oliveira, Luiz Olmes Carvalho, Gustavo S. Semaan, Daniel de Oliveira, Lúcio F. D. Santos, Marcos V. N. Bedo
HELIX: A data-driven characterization of Brazilian land snails. SBBD (2021)
Lucas Tito, Cristina Motinha, Filipe Santiago, Kary A. C. S. Ocaña, Marcos V. N. Bedo, Daniel de Oliveira
Xi-DL: um Sistema de Gerência de Data Lake para Monitoramento de Dados da Saúde. SBBD (2020)
Thaylon Guedes, Lucas Bertelli Martins, Maria Luiza Furtuozo Falci, Vítor Silva, Kary A. C. S. Ocaña, Marta Mattoso, Marcos V. N. Bedo, Daniel de Oliveira
Capturing and Analyzing Provenance from Spark-based Scientific Workflows with SAMbA-RaP. Future Gener. Comput. Syst. 112 (2020)
Thaylon Guedes, Leonardo Araújo de Jesus, Kary A. C. S. Ocaña, Lúcia M. A. Drummond, Daniel de Oliveira
Provenance-based fault tolerance technique recommendation for cloud-based scientific workflows: a practical approach. Clust. Comput. 23 (1) (2020)
Débora B. Pina, Liliane N. O. Kunstmann, Daniel de Oliveira, Patrick Valduriez, Marta Mattoso
Uma abordagem para coleta e análise de dados de configurações em redes neurais profundas. SBBD (2020)
Daniel L. Jasbick, Lúcio F. D. Santos, Daniel de Oliveira, Marcos V. N. Bedo
Some Branches May Bear Rotten Fruits: Diversity Browsing VP-Trees. SISAP (2020)
Luiz Gustavo Dias, Marta Mattoso, Bruno Lopes, Daniel de Oliveira
Experiencing DfAnalyzer for Runtime Analysis of Phylogenomic Dataflows. BSB (2020)
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)
Carlos Gracioli Neto, Luciana Salgado, Victor Ströele, Daniel de Oliveira
SigniFYIng APIs in the context of polystore systems: a case study with BigDAWG. IHC (2020)
Gaëtan Heidsieck, Daniel de Oliveira, Esther Pacitti, Christophe Pradal, François Tardieu, Patrick Valduriez
Distributed Caching of Scientific Workflows in Multisite Cloud. DEXA (2) (2020)
Marcello W. M. Ribeiro, Alexandre A. B. Lima, Daniel de Oliveira
OLAP parallel query processing in clouds with C-ParGRES. Concurr. Comput. Pract. Exp. 32 (7) (2020)
Maria Luiza Furtuozo Falci, Andréa Magalhães Magdaleno, Vanessa Braganholo, Aline Paes, Daniel de Oliveira
Análise de Colaboração em Processos de Negócio por meio de SGBDs de Grafos e Dados de Proveniência Multimodais. SBBD (2020)
Gaëtan Heidsieck, Daniel de Oliveira, Esther Pacitti, Christophe Pradal, François Tardieu, Patrick Valduriez
Efficient Execution of Scientific Workflows in the Cloud Through Adaptive Caching. Trans. Large Scale Data Knowl. Centered Syst. 44 (2020)
Bruno Lopes, Daniel de Oliveira
Towards Failure Prediction in Scientific Workflows Using Stochastic Petri Nets and Dynamic Logic. QUATIC (2020)
Elvismary Molina de Armas, Maristela Holanda, Daniel de Oliveira, Nalvo F. Almeida, Sérgio Lifschitz
A Classification of de Bruijn Graph Approaches for De Novo Fragment Assembly. BSB (2020)
Vítor Silva, Leonardo Neves, Renan Souza, Alvaro L. G. A. Coutinho, Daniel de Oliveira, Marta Mattoso
Adding domain data to code profiling tools to debug workflow parallel execution. Future Gener. Comput. Syst. 110 (2020)
Gustavo Blanco, Agma J. M. Traina, Caetano Traina Jr., Paulo M. Azevedo-Marques, Ana Elisa Serafim Jorge, Daniel de Oliveira, Marcos V. N. Bedo
A superpixel-driven deep learning approach for the analysis of dermatological wounds. Comput. Methods Programs Biomed. 183 (2020)
Yan Mendes, Daniel de Oliveira, Victor Ströele
Polyflow: a Polystore-compliant Mechanism to Provide Interoperability to Heterogeneous Provenance Graphs. J. Inf. Data Manag. 11 (3) (2020)
Vítor Silva, Vinícius Campos, Thaylon Guedes, José J. Camata, Daniel de Oliveira, Alvaro L. G. A. Coutinho, Patrick Valduriez, Marta Mattoso
DfAnalyzer: Runtime dataflow analysis tool for Computational Science and Engineering applications. SoftwareX 12 (2020)
Yan Mendes, Victor Ströele, Daniel de Oliveira, Kary A. C. S. Ocaña
Análise Integrada de Grafos de Proveniência Heterogêneos por meio de uma Abordagem PolyStore. SBBD (2019)
Gustavo Blanco, Agma J. M. Traina, Caetano Traina Jr., Paulo M. Azevedo-Marques, Ana Elisa Serafim Jorge, Daniel de Oliveira, Marcos V. N. Bedo
A superpixel-driven deep learning approach for the analysis of dermatological wounds. CoRR (2019)
Débora B. Pina, Liliane Neves, Aline Paes, Daniel de Oliveira, Marta Mattoso
Análise de Hiperparâmetros em Aplicações de Aprendizado Profundo por meio de Dados de Proveniência. SBBD (2019)
Daniel de Oliveira, Carlos Magno Abreu, Eduardo S. Ogasawara, Eduardo Bezerra, Leonardo Silva de Lima
A Science Gateway to Support Research in Spectral Graph Theory. SBBD (2019)
André Nascimento, Victor Olimpio, Vítor Silva, Aline Paes, Daniel de Oliveira
A Reinforcement Learning Scheduling Strategy for Parallel Cloud-Based Workflows. IPDPS Workshops (2019)
Daniel de Oliveira, Eduardo Rodrigues Duarte Neto, Serafim Costa, Paulo Roberto Pessoa Amora, Asley Caldas, Marco Horta, Ana Maria de Fillippis, Kary A. C. S. Ocaña, Vânia Maria P. Vidal, Javam C. Machado
Um Estudo Comparativo de Mecanismos de Privacidade Diferencial sobre um Dataset de Ocorrências do ZIKV no Brasil. SBBD (2019)
Kary A. C. S. Ocaña, Thaylon Guedes, Daniel de Oliveira
ArrOW: Experiencing a Parallel Cloud-Based De Novo Assembler Workflow. IPDPS Workshops (2019)
Marcos V. N. Bedo, Paolo Ciaccia, Davide Martinenghi, Daniel de Oliveira
A k-Skyband Approach for Feature Selection. SISAP (2019)
Wellington S. Silva, Daniel L. Jasbick, Rodrigo Erthal Wilson, Paulo M. Azevedo-Marques, Agma J. M. Traina, Lúcio F. D. Santos, Ana Elisa Serafim Jorge, Daniel de Oliveira, Marcos V. N. Bedo
A Two-Phase Learning Approach for the Segmentation of Dermatological Wounds. CBMS (2019)
Yan Mendes, Regina M. M. Braga, Victor Ströele, Daniel de Oliveira
Polyflow: A SOA for Analyzing Workflow Heterogeneous Provenance Data in Distributed Environments. SBSI (2019)
Marcos Guerine, Murilo B. Stockinger, Isabel Rosseti, Luidi Gelabert Simonetti, Kary A. C. S. Ocaña, Alexandre Plastino, Daniel de Oliveira
A provenance-based heuristic for preserving results confidentiality in cloud-based scientific workflows. Future Gener. Comput. Syst. 97 (2019)
Kary A. C. S. Ocaña, Carla Osthoff, Micaella Coelho, Marcelo Galheigo, Isabela Canuto, Douglas E. M. de Oliveira, Daniel de Oliveira
Performance Evaluation of Parallel Inference of Large Phylogenetic Trees in Santos Dumont Supercomputer: A Practical Approach. CARLA (2019)
Gaëtan Heidsieck, Daniel de Oliveira, Esther Pacitti, Christophe Pradal, François Tardieu, Patrick Valduriez
Adaptive Caching for Data-Intensive Scientific Workflows in the Cloud. DEXA (2) (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)
Ana Carla Bibiano, Eduardo Fernandes, Daniel de Oliveira, Alessandro Garcia, Marcos Kalinowski, Baldoino Fonseca, Roberto Felicio Oliveira, Anderson Oliveira, Diego Cedrim
A Quantitative Study on Characteristics and Effect of Batch Refactoring on Code Smells. ESEM (2019)
Vítor Silva, Renan Souza, José J. Camata, Daniel de Oliveira, Patrick Valduriez, Alvaro L. G. A. Coutinho, Marta Mattoso
Capturing Provenance for Runtime Data Analysis in Computational Science and Engineering Applications. IPAW (2018)
Vítor Lourenço, Paulo Mann, Artur Guimaraes, Aline Paes, Daniel de Oliveira
Towards Safer (Smart) Cities: Discovering Urban Crime Patterns Using Logic-based Relational Machine Learning. IJCNN (2018)
Wellington Moreira de Oliveira, Daniel de Oliveira, Vanessa Braganholo
Provenance Analytics for Workflow-Based Computational Experiments: A Survey. ACM Comput. Surv. 51 (3) (2018)
Marcos Vinicius Naves Bedo, Daniel de Oliveira, Agma J. M. Traina, Caetano Traina Jr.
Beyond Hit-or-Miss: A Comparative Study of Synopses for Similarity Searching. J. Inf. Data Manag. 9 (1) (2018)
Thaylon Guedes, Vítor Silva, Marcos V. N. Bedo, Marta Mattoso, Daniel de Oliveira
Análise Online de Dados de Proveniência e de Domínio de Aplicações Spark com SAMbA. SBBD Companion (2018)
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)
Daniel Silva Jr., Aline Paes, Esther Pacitti, Daniel de Oliveira
FReeP: towards Parameter Recommendation in Scientific Workflows using Preference Learning. SBBD (2018)
Daniel L. Jasbick, Thaylon Guedes, Rodolfo Oliveira, Lúcio F. D. Santos, Daniel de Oliveira, Marcos V. N. Bedo
VP-Viewer: keeping Track of Your Query from a Vantage Point. SBBD Companion (2018)
Vítor Silva, Daniel de Oliveira, Marta Mattoso, Patrick Valduriez
DfAnalyzer: Runtime Dataflow Analysis of Scientific Applications using Provenance. Proc. VLDB Endow. 11 (12) (2018)
Lúcio F. D. Santos, Gustavo Blanco, Daniel de Oliveira, Agma J. M. Traina, Caetano Traina Jr., Marcos V. N. Bedo
Exploring Diversified Similarity with Kundaha. CIKM (2018)
Isabel Rosseti, Kary A. C. S. Ocaña, Daniel de Oliveira
Towards preserving results confidentiality in cloud-based scientific workflows. WORKS@SC (2017)
Lucas Tito, Alexandre Estebanez, Andréa Magalhães Magdaleno, Daniel de Oliveira, Marcos Kalinowski
A Systematic Mapping of Software Requirements Negotiation Techniques. ICEIS (2) (2017)
Lidson Barbosa Jacob, Esteban Clua, Daniel de Oliveira
Oh Gosh!! Why is this game so hard? Identifying cycle patterns in 2D platform games using provenance data. Entertain. Comput. 19 (2017)
Wellington Moreira de Oliveira, Kary A. C. S. Ocaña, Daniel de Oliveira, Vanessa Braganholo
Querying Provenance along with External Domain Data Using Prolog. J. Inf. Data Manag. 8 (1) (2017)
Anderson Marinho, Daniel de Oliveira, Eduardo S. Ogasawara, Vítor Silva, Kary A. C. S. Ocaña, Leonardo Murta, Vanessa Braganholo, Marta Mattoso
Deriving scientific workflows from algebraic experiment lines: A practical approach. Future Gener. Comput. Syst. 68 (2017)
Thaylon Guedes, Vítor Silva, José J. Camata, Marta Mattoso, Daniel de Oliveira
Análise de Dados Científicos: uma Análise Comparativa de Dados de Simulações Computacionais. SBBD (Short Papers) (2017)
Leonardo Araújo de Jesus, Lúcia M. A. Drummond, Daniel de Oliveira
Eeny Meeny Miny Moe: Choosing the Fault Tolerance Technique for my Cloud Workflow. CARLA (2017)

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Publication Activity (10 Years)

Top Topics

Top Venues

Daniel de Oliveira