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ORCIDDaniel de Oliveira 0001
Daniel C. M. de Oliveira – Daniel Cardoso Moraes de Oliveira – Daniel Oliveira 0001
Person information
- affiliation: Fluminense Federal University (UFF), Institute of Computing, Niterói, RJ, Brazil
- affiliation (PhD 2012): Federal University of Rio de Janeiro (UFRJ), Rio de Janeiro, RJ, Brazil
Other persons with the same name
- Daniel de Oliveira 0002 — Federal University of Santa Catarina, Department of Production and Systems Engineering, Brazil
- Daniel de Oliveira 0003 — National Laboratory of Energy and Geology, LNEG, Amadora, Portugal
- Daniel Oliveira 0002
![[0000-0002-8752-3992]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-8752-3992")
(aka: Daniel A. G. de Oliveira, Daniel Alfonso Gonçalves de Oliveira) — Federal University of Parana, Curitiba, Brazil - Daniel Oliveira 0003 (aka: Daniel José da Cunha Oliveira) — University of Minho, Centro ALGORITMI, Portugal
- Daniel Oliveira 0004 — University of Beira Interior, Covilha, Portugal
- Daniel Oliveira 0005 (aka: Daniel Tenório Martins de Oliveira) — Pontifical Catholic University of Rio de Janeiro, Informatics Department, Brazil
- Daniel Oliveira 0006 — Institute of Electronics and Telematics Engineering of Aveiro (IEETA), Portugal
- Daniel Oliveira 0007 — Federal University of Amazonas, Manaus, Brasil
- Daniel Oliveira 0008 — Coimbra Polytechnic - ISEC, Portugal
- Daniel M. de Oliveira (aka: Daniel Oliveira 0009) — Federal University of Bahia, Salvador, Brazil
- Daniel Oliveira 0010 — Fluminense Federal University, Niteroi, RJ, Brazil
- Daniel Oliveira 0011 — Instituto Superior Técnico, Department of Mathematics, Lisbon, Portugal
- Daniel Oliveira 0012 — University of Minho, Department of Information Systems, Braga, Portugal
- Daniel Oliveira 0013 — INESC-ID, Lisbon, Portugal (and 1 more)
- Daniel Oliveira 0014 — University of Aveiro, IEETA, DETI, LASI, Portugal
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2020 – today
- 2025
[j76]Luis C. R. Alvarenga, Yuri Frota, Daniel de Oliveira, Rafaelli Coutinho:
Optimizing Resource Estimation for Scientific Workflows in HPC Environments: A Layered-Bucket Heuristic Approach. Concurr. Comput. Pract. Exp. 37(4-5) (2025)- [j75]André M. Souza, Matheus A. Cruz, Paola M. C. Braga, Rodrigo B. Piva, Rodrigo A. C. Dias, Paulo R. Siqueira, Willian A. Trevizan, Candida M. de Jesus, Camilla Bazzarella, Rodrigo Salvador Monteiro, Flávia Cristina Bernardini, Leandro A. F. Fernandes, Elaine P. M. de Sousa, Daniel de Oliveira, Marcos Bedo:
PATSA-BIL: Pipeline for automated texture and structure analysis of borehole image logs. Expert Syst. Appl. 278: 127345 (2025) - [j74]Débora B. Pina, Liliane N. O. Kunstmann, Daniel de Oliveira, Marta Mattoso:
Breadcrumbs for your Deep Learning Model: Following Provenance Traces with DLProv. Softw. Impacts 23: 100730 (2025) - [j73]Gustavo Moreira, Maryam Hosseini, Carolina Veiga Ferreira de Souza, Lucas Alexandre, Nicola Colaninno, Daniel de Oliveira, Nivan Ferreira, Marcos Lage, Fabio Miranda:
Curio: A Dataflow-Based Framework for Collaborative Urban Visual Analytics. IEEE Trans. Vis. Comput. Graph. 31(1): 1224-1234 (2025) - [c123]Paulo R. Siqueira, Rodrigo A. C. Dias, João Silva-Leite, Paulo Mann, Rodrigo Salvador Monteiro, Daniel de Oliveira, Marcos Bedo:
Warehousing Data for Brand Health and Reputation with AI-Driven Scores in NewSQL Architectures: Opportunities and Challenges. ICEIS (1) 2025: 51-62 - [c122]Paulo R. S. da Costa Jr., Matheus Utino, João Silva-Leite, Lyncoln S. de Oliveira, Rodrigo Salvador Monteiro, Rodrigo A. C. Dias, Daniel de Oliveira, Paulo Mann, Marcos Bedo:
Scalable Reputation Management: A Multi-Task Prompting Approach Using Fine-Tuned PLMs for Sentiment and Topic Classification. ICWSM 2025: 1735-1747 - [c121]Annie Amorim, Gabriel Assis, Laura Ribeiro, Daniel de Oliveira, Aline Paes:
Language Flavors in the Lusophone World: A BERT-Based Social Media Study of Portuguese in Brazil, Portugal, and Mozambique. SAC 2025: 1927-1934 - 2024
- [j72]Luiz Gustavo Dias, Bruno Lopes, Daniel de Oliveira:
MAESTRO: a lightweight ontology-based framework for composing and analyzing script-based scientific experiments. Knowl. Inf. Syst. 66(10): 5959-6000 (2024) - [j71]Gabriel Assis, Annie Amorim, Jonnathan Carvalho, Mariza Ferro, Daniel de Oliveira, Daniela Vianna, Aline Paes:
Explorando Técnicas de Aprendizado em Modelos de Linguagem para Classificação de Discurso de Ódio e Ofensivo em Português. Linguamática 16(2): 91-113 (2024) - [j70]Thaylon Guedes, Marta Mattoso, Marcos V. N. Bedo, Daniel de Oliveira:
Version [1.0]- [SAMbA-RaP is music to scientists' ears: Adding provenance support to spark-based scientific workflows]. SoftwareX 28: 101927 (2024) - [j69]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): 738-747 (2024) - [c120]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: 309-314 - [c119]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: 77-85 - [c118]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: 75-80 - [c117]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: 289-296 - [c116]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: 313-320 - [c115]Elbe Miranda, Aline Paes, Daniel de Oliveira:
SPARQL can also talk in Portuguese: answering natural language questions with knowledge graphs. PROPOR (1) 2024: 56-66 - [c114]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 (1) 2024: 301-311 - [i10]Liliane N. O. Kunstmann, Débora B. Pina, Daniel de Oliveira, Marta Mattoso:
ProvDeploy: Provenance-oriented Containerization of High Performance Computing Scientific Workflows. CoRR abs/2403.15324 (2024) - [i9]Gustavo Moreira, Maryam Hosseini, Carolina Veiga Ferreira de Souza, Lucas Alexandre, Nicola Colaninno, Daniel de Oliveira, Nivan Ferreira, Marcos Lage, Fabio Miranda:
Curio: A Dataflow-Based Framework for Collaborative Urban Visual Analytics. CoRR abs/2408.06139 (2024) - [i8]Carolina Veiga Ferreira de Souza, Ashish Sharma, Daniel de Oliveira, Marcos Lage, Fabio Miranda:
Urban Computing for Climate and Environmental Justice: Early Perspectives From Two Research Initiatives. CoRR abs/2410.04318 (2024) - [i7]Rafael Ferreira da Silva, Deborah Bard, Kyle Chard, Shaun De Witt, Ian T. Foster, Tom Gibbs, Carole A. Goble, William F. Godoy, Johan Gustafsson, Utz-Uwe Haus, Stephen Hudson, Shantenu Jha, Laila Los, Drew Paine, Frédéric Suter, Logan T. Ward, Sean R. Wilkinson, Marcos Amaris, Yadu N. Babuji, Jonathan Bader, Riccardo Balin, Daniel Balouek, Sarah J. Beecroft, Khalid Belhajjame, Rajat Bhattarai, Wes Brewer, Paul Brunk, Silvina Caíno-Lores, Henri Casanova, Daniela Cassol, Jared Coleman, Tainã Coleman, Iacopo Colonnelli, Anderson Andrei Da Silva, Daniel de Oliveira, Pascal Elahi, Nour Elfaramawy, Wael R. Elwasif, Brian Etz, Thomas Fahringer, Wesley Ferreira, Rosa Filgueira, Jacob Fosso Tande, Luiz Gadelha, Andy Gallo, Daniel Garijo, Yiannis Georgiou, Philipp Gritsch, Patricia Grubel, Amal Gueroudji, Quentin Guilloteau, Carlo Hamalainen, Rolando P. Hong Enriquez, Lauren Huet, Kevin Hunter Kesling, Paula Iborra, Shiva Jahangiri, Jan Janssen, Joe Jordan, Sehrish Kanwal, Liliane N. O. Kunstmann, Fabian Lehmann, Ulf Leser, Chen Li, Peini Liu, Jakob Lüttgau, Richard Lupat, José M. Fernández, Ketan Maheshwari, Tanu Malik, Jack Marquez, Motohiko Matsuda, Doriana Medic, Somayeh Mohammadi, Alberto Mulone, John-Luke Navarro, Kin Wai Ng, Klaus Nölp, Bruno de Paula Kinoshita, Ryan Prout, Michael R. Crusoe, Sashko Ristov, Stefan A. Robila, Daniel Rosendo, Billy Rowell, Jedrzej Rybicki, Hector Sanchez, Nishant Saurabh, Sumit Kumar Saurav, Tom Scogland, Dinindu Senanayake, Woong Shin, Raül Sirvent, Tyler J. Skluzacek, Barry Sly-Delgado, Stian Soiland-Reyes, Abel Souza, Renan Souza, Domenico Talia, Nathan R. Tallent:
Workflows Community Summit 2024: Future Trends and Challenges in Scientific Workflows. CoRR abs/2410.14943 (2024) - 2023
- [j68]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) - [j67]Claudio V. Ribeiro, Aline Paes, Daniel de Oliveira:
AIS-based maritime anomaly traffic detection: A review. Expert Syst. Appl. 231: 120561 (2023) - [j66]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: 102166 (2023) - [j65]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) - [j64]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) - [c113]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: 113-127 - [c112]Ygor Rolim, Danielly Alves, Flávia Clemente, Daniel de Oliveira:
NewsCollab: Fostering Data-driven Journalism with Crowdsourcing. CSCWD 2023: 1008-1013 - [c111]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: 68-83 - [c110]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: 16-23 - [c109]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: 256-268 - [c108]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: 457-462 - [c107]Sandro Bonadia, Rogério Gama, Daniel de Oliveira, Fabio Miranda, Marcos Lage:
Visual Analytics Using Heterogeneous Urban Data. SIBGRAPI 2023: 25-30 - [c106]Débora B. Pina, Adriane Chapman, Daniel de Oliveira, Marta Mattoso:
Deep Learning Provenance Data Integration: a Practical Approach. WWW (Companion Volume) 2023: 1542-1550 - [i6]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 abs/2306.00007 (2023) - [i5]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 abs/2308.05019 (2023) - 2022
- [j63]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): 36 (2022) - [j62]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) - [j61]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) - [j60]Maristela Holanda, Daniel de Oliveira:
Editorial. J. Inf. Data Manag. 13(4) (2022) - [j59]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) - [c105]Maicon Banni, Isabel Rosseti, Daniel de Oliveira:
HURRICANE: um Serviço para Gerência de Dados de Aplicações de Cidades Inteligentes. SBBD 2022: 151-163 - [c104]Annie Amorim, Nils Murrugarra-Llerena, Vítor Silva, Daniel de Oliveira, Aline Paes:
Modelagem de Tópicos em Textos Curtos: uma Avaliação Experimental. SBBD 2022: 254-266 - [c103]Lucas Bertelli, Victor Ströele, Javam C. Machado, Daniel de Oliveira:
Privacidade Diferencial em Sistemas Polystore: uma Abordagem Prática. SBBD 2022: 279-291 - [c102]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 - [c101]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: 373-378 - [c100]João Loureiro, Daniel de Oliveira:
ORBITER: um Arcabouço para Implantação Automática de Aplicações Big Data em Arquiteturas Serverless. SBBD 2022: 379-384 - [c99]Nicolas Atmatzides, Marcos V. N. Bedo, Daniel de Oliveira:
Adoção de SGBDs NoSQL em Empresas Brasileiras: um Levantamento Preliminar. SBBD 2022: 385-390 - 2021
- [j58]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) - [j57]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) - [j56]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: 172-186 (2021) - [j55]Maristela Terto de Holanda, Daniel Cardoso Moraes de Oliveira, Moacir Antonelli Ponti:
Frontmatter. J. Inf. Data Manag. 12(1) (2021) - [j54]Maristela Terto de Holanda, Daniel Cardoso Moraes de Oliveira, Moacir Antonelli Ponti:
Editorial. J. Inf. Data Manag. 12(1) (2021) - [j53]Maristela Terto de Holanda, Daniel Cardoso Moraes de Oliveira, Ronaldo dos Santos Mello:
Frontmatter. J. Inf. Data Manag. 12(2) (2021) - [j52]Maristela Terto de Holanda, Daniel Cardoso Moraes de Oliveira, Ronaldo dos Santos Mello:
Editorial. J. Inf. Data Manag. 12(2) (2021) - [j51]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) - [j50]Leonardo S. Ramos, Fábio Porto, Daniel de Oliveira:
Managing Hypothesis of Scientific Experiments with PhenoManager. J. Inf. Data Manag. 12(2) (2021) - [j49]Maristela Terto de Holanda, Daniel Cardoso Moraes de Oliveira, Fábio Porto:
Frontmatter. J. Inf. Data Manag. 12(3) (2021) - [j48]Maristela Terto de Holanda, Daniel Cardoso Moraes de Oliveira, Fábio Porto:
Editorial. J. Inf. Data Manag. 12(3) (2021) - [j47]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) - [j46]Maristela Terto de Holanda, Daniel Cardoso Moraes de Oliveira, Thales Sehn Körting:
Frontmatter. J. Inf. Data Manag. 12(4) (2021) - [j45]Maristela Terto de Holanda, Daniel Cardoso Moraes de Oliveira, Thales Sehn Körting:
Editorial. J. Inf. Data Manag. 12(4) (2021) - [j44]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) - [j43]Maristela Terto de Holanda, Daniel Cardoso Moraes de Oliveira, Ricardo da Silva Torres:
Frontmatter. J. Inf. Data Manag. 12(5) (2021) - [j42]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) - [j41]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): 3622 (2021) - [j40]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: e527 (2021) - [j39]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: e606 (2021) - [c98]Débora B. Pina, Liliane N. O. Kunstmann, Daniel de Oliveira, Patrick Valduriez, Marta Mattoso:
Provenance Supporting Hyperparameter Analysis in Deep Neural Networks. IPAW 2021: 20-38 - [c97]Marcelo N. Almeida, Rodolfo Alves de Oliveira, Luiz Olmes Carvalho, Gustavo Silva Semaan, Daniel de Oliveira, Lúcio F. D. Santos, Marcos V. N. Bedo:
HELIX: A data-driven characterization of Brazilian land snails. SBBD 2021: 319-324 - [c96]Lorenna Christ'na Nascimento, Marcos Lage, Daniel de Oliveira:
Um Estudo Sobre o Uso de Abordagens de Gerência de Dados em Sistemas de Análise Visual de Dados Espaço-Temporais. SBBD 2021: 361-366 - [d1]Vinícius Salazar, João Vitor Ferreira Cavalcante, Daniel de Oliveira, Fabiano L. Thompson, Marta Mattoso:
vinisalazar/BioProv: Release v0.1.24. Zenodo, 2021
- [i4]Renan Souza, Vítor Silva, Alexandre A. B. Lima, Daniel de Oliveira, Patrick Valduriez, Marta Mattoso:
Distributed In-memory Data Management for Workflow Executions. CoRR abs/2105.04720 (2021) - 2020
- [j38]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): 123-148 (2020) - [j37]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) - [j36]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) - [j35]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) - [j34]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: 422-439 (2020) - [j33]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: 658-669 (2020) - [j32]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) - [j31]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: 100592 (2020) - [j30]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: 41-66 (2020) - [c95]Gaëtan Heidsieck, Daniel de Oliveira, Esther Pacitti, Christophe Pradal, François Tardieu, Patrick Valduriez:
Distributed Caching of Scientific Workflows in Multisite Cloud. DEXA (2) 2020: 51-65 - [c94]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: 57:1-57:6 - [c93]Bruno Lopes, Daniel de Oliveira:
Towards Failure Prediction in Scientific Workflows Using Stochastic Petri Nets and Dynamic Logic. QUATIC 2020: 449-456 - [c92]Renata Silva, Daniel Oliveira, Davi Pereira dos Santos, Lúcio F. D. Santos, Rodrigo Erthal Wilson, Marcos V. N. Bedo:
Criteria for choosing the number of dimensions in a principal component analysis: An empirical assessment. SBBD 2020: 145-150 - [c91]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: 151-156 - [c90]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: 169-174 - [c89]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: 187-192 - [c88]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: 140-154 - [c87]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: 1-12 - [c86]Luiz Gustavo Dias, Marta Mattoso, Bruno Lopes, Daniel de Oliveira:
Experiencing DfAnalyzer for Runtime Analysis of Phylogenomic Dataflows. BSB 2020: 105-116 - [e1]Luis A. B. Kowada, Daniel de Oliveira:
Advances in Bioinformatics and Computational Biology - 12th Brazilian Symposium on Bioinformatics, BSB 2019, Fortaleza, Brazil, October 7-10, 2019, Revised Selected Papers. Lecture Notes in Computer Science 11347, Springer 2020, ISBN 978-3-030-46416-5 [contents]
2010 – 2019
- 2019
- [b1]Daniel C. M. de Oliveira, Ji Liu, Esther Pacitti:
Data-Intensive Workflow Management: For Clouds and Data-Intensive and Scalable Computing Environments. Synthesis Lectures on Data Management, Morgan & Claypool Publishers 2019, ISBN 978-3-031-00744-6 - [j29]Marcos A. 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: 697-713 (2019) - [c85]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: 448-463 - [c84]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: 343-348 - [c83]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 - [c82]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: 452-466 - [c81]Carlos Gracioli Neto, Amadeu Anderlin Neto, Marcos Kalinowski, Daniel Cardoso Moraes de Oliveira, Marta Sabou, Dietmar Winkler, Stefan Biffl:
Using Model Scoping with Expected Model Elements to Support Software Model Inspections: Results of a Controlled Experiment. ICEIS (2) 2019: 107-118 - [c80]Kary A. C. S. Ocaña, Thaylon Guedes, Daniel de Oliveira:
ArrOW: Experiencing a Parallel Cloud-Based De Novo Assembler Workflow. IPDPS Workshops 2019: 185-190 - [c79]André Nascimento, Victor Olimpio, Vítor Silva, Aline Paes, Daniel de Oliveira:
A Reinforcement Learning Scheduling Strategy for Parallel Cloud-Based Workflows. IPDPS Workshops 2019: 817-824 - [c78]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: 73-84 - [c77]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: 217-222 - [c76]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: 223-228 - [c75]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: 253-258 - [c74]Yan Mendes, Regina Braga, Victor Ströele, Daniel de Oliveira:
Polyflow: A SOA for Analyzing Workflow Heterogeneous Provenance Data in Distributed Environments. SBSI 2019: 49:1-49:8 - [c73]Marcos V. N. Bedo, Paolo Ciaccia, Davide Martinenghi, Daniel de Oliveira:
A k-Skyband Approach for Feature Selection. SISAP 2019: 160-168 - [i3]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 abs/1909.06264 (2019) - 2018
- [j28]Wellington Moreira de Oliveira, Daniel de Oliveira, Vanessa Braganholo:
Provenance Analytics for Workflow-Based Computational Experiments: A Survey. ACM Comput. Surv. 51(3): 53:1-53:25 (2018) - [j27]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): 36-51 (2018) - [j26]Thaylon Guedes, Vítor Silva, José J. Camata, Marcos V. N. Bedo, Marta Mattoso, Daniel C. M. de Oliveira:
Towards an Empirical Evaluation of Scientific Data Indexing and Querying. J. Inf. Data Manag. 9(1): 84-93 (2018) - [j25]Vítor Silva, Daniel de Oliveira, Marta Mattoso, Patrick Valduriez:
DfAnalyzer: Runtime Dataflow Analysis of Scientific Applications using Provenance. Proc. VLDB Endow. 11(12): 2082-2085 (2018) - [c72]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: 1903-1906 - [c71]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: 1-8 - [c70]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: 183-187 - [c69]Daniel L. Jasbick, Thaylon Guedes, Rodolfo Alves de 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: 5-10 - [c68]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: 17-22 - [c67]Daniel Silva Jr., Aline Paes, Esther Pacitti, Daniel de Oliveira:
FReeP: towards Parameter Recommendation in Scientific Workflows using Preference Learning. SBBD 2018: 211-216 - [c66]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 - 2017
- [j24]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: 65-81 (2017) - [j23]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: 111-127 (2017) - [j22]Vítor Silva, José Leite, José J. Camata, Daniel de Oliveira, Alvaro L. G. A. Coutinho, Patrick Valduriez, Marta Mattoso:
Raw data queries during data-intensive parallel workflow execution. Future Gener. Comput. Syst. 75: 402-422 (2017) - [j21]Luan Teylo, Ubiratam de Paula Junior, Yuri Frota, Daniel de Oliveira, Lúcia M. A. Drummond:
A hybrid evolutionary algorithm for task scheduling and data assignment of data-intensive scientific workflows on clouds. Future Gener. Comput. Syst. 76: 1-17 (2017) - [j20]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): 3-18 (2017) - [j19]Vitor C. Neves, Daniel de Oliveira, Kary A. C. S. Ocaña, Vanessa Braganholo, Leonardo Murta:
Managing Provenance of Implicit Data Flows in Scientific Experiments. ACM Trans. Internet Techn. 17(4): 36:1-36:22 (2017) - [c65]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: 321-336 - [c64]Augusto Romeiro, Kary A. C. S. Ocaña, Marcos Kalinowski, Daniel de Oliveira:
SciAgile: Aplicação de Metodologias Ágeis em Experimentos Científicos Baseados em Simulação. CIbSE 2017: 511-524 - [c63]Lucas Tito, Alexandre Estebanez, Andréa Magalhães Magdaleno, Daniel de Oliveira, Marcos Kalinowski:
A Systematic Mapping of Software Requirements Negotiation Techniques. ICEIS (2) 2017: 518-525 - [c62]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: 222-227 - [c61]Isabel Rosseti, Kary A. C. S. Ocaña, Daniel de Oliveira:
Towards preserving results confidentiality in cloud-based scientific workflows. WORKS@SC 2017: 6:1-6:9 - [p3]Rafaelli de C. Coutinho, Yuri Frota, Kary A. C. S. Ocaña, Daniel de Oliveira, Lúcia M. A. Drummond:
Mirror Mirror on the Wall, How Do I Dimension My Cloud After All? Cloud Computing, 2nd Ed. 2017: 27-58 - [p2]Ary Henrique M. de Oliveira, Daniel de Oliveira, Marta Mattoso:
Clouds and Reproducibility: A Way to Go to Scientific Experiments? Cloud Computing, 2nd Ed. 2017: 127-151 - 2016
- [j18]Vítor Silva, Daniel de Oliveira, Patrick Valduriez, Marta Mattoso:
Analyzing related raw data files through dataflows. Concurr. Comput. Pract. Exp. 28(8): 2528-2545 (2016) - [j17]Ji Liu, Esther Pacitti, Patrick Valduriez, Daniel de Oliveira, Marta Mattoso:
Multi-objective scheduling of Scientific Workflows in multisite clouds. Future Gener. Comput. Syst. 63: 76-95 (2016) - [j16]Rafaelli de C. Coutinho, Yuri Frota, Kary A. C. S. Ocaña, Daniel de Oliveira, Lúcia M. A. Drummond:
A Dynamic Cloud Dimensioning Approach for Parallel Scientific Workflows: a Case Study in the Comparative Genomics Domain. J. Grid Comput. 14(3): 443-461 (2016) - [c60]Rafael Mayo-García, José J. Camata, José M. Cela, Danilo Costa, Alvaro L. G. A. Coutinho, Daniel Fernández-Galisteo, Carmen Jiménez, Vadim Kourdioumov, Marta Mattoso, Thomas Miras, José A. Moríñigo, Jorge Navarro, Philippe O. A. Navaux, Daniel de Oliveira, Manuel Aurelio Rodriguez Pascual, Vítor Silva, Renan Souza, Patrick Valduriez:
Enhancing Energy Production with Exascale HPC Methods. CARLA 2016: 233-246 - [c59]Wellington Moreira de Oliveira, Paolo Missier, Kary A. C. S. Ocaña, Daniel de Oliveira, Vanessa Braganholo:
Analyzing Provenance Across Heterogeneous Provenance Graphs. IPAW 2016: 57-70 - [c58]Gustavo Tallarida, Kary A. C. S. Ocaña, Aline Paes, Vanessa Braganholo, Daniel de Oliveira:
Gerência de Incerteza em Bancos de Dados de Proveniência de Workflows de Bioinformática. SBBD 2016: 181-186 - [c57]Vítor N. Lourenço, Paulo Mann, Aline Paes, Daniel Oliveira:
SiAPP: Um Sistema para Análise de Ocorrências de Crimes Baseado em Aprendizado Lógico-Relacional [SiAPP: An Information System for Crime Analytics Based on Logical Relational Learning]. SBSI 2016: 168-175 - [c56]Leonardo S. Ramos, Kary A. C. S. Ocaña, Daniel Oliveira:
Um Sistema de Informação para Gerência de Projetos Científicos baseados em Simulações Computacionais [An IS for Managing Scientific Projects]. SBSI 2016: 216-223 - [c55]Vítor Silva, Leonardo Neves, Renan Souza, Alvaro L. G. A. Coutinho, Daniel de Oliveira, Marta Mattoso:
Integrating Domain-Data Steering with Code-Profiling Tools to Debug Data-Intensive Workflows. WORKS@SC 2016: 59-63 - 2015
- [j15]Rafaelli de C. Coutinho, Lúcia M. A. Drummond, Yuri Frota, Daniel de Oliveira:
Optimizing virtual machine allocation for parallel scientific workflows in federated clouds. Future Gener. Comput. Syst. 46: 51-68 (2015) - [j14]Marta Mattoso, Jonas Dias, Kary A. C. S. Ocaña, Eduardo S. Ogasawara, Flavio Costa, Felipe Horta, Vítor Silva, Daniel de Oliveira:
Dynamic steering of HPC scientific workflows: A survey. Future Gener. Comput. Syst. 46: 100-113 (2015) - [c54]Aline Paes, Daniel de Oliveira:
Running Multi-relational Data Mining Processes in the Cloud: A Practical Approach for Social Networks. CARLA 2015: 3-18 - [c53]Kary A. C. S. Ocaña, Vítor Silva, Daniel de Oliveira, Marta Mattoso:
Data Analytics in Bioinformatics: Data Science in Practice for Genomics Analysis Workflows. e-Science 2015: 322-331 - [c52]Ubiratam de Paula Junior, Lúcia M. A. Drummond, Daniel de Oliveira, Yuri Frota, Valmir Carneiro Barbosa:
Handling flash-crowd events to improve the performance of web applications. SAC 2015: 769-774 - [c51]Rachel Castro, Renan Souza, Vítor Silva, Kary A. C. S. Ocaña, Daniel de Oliveira, Marta Mattoso:
Uma Abordagem para Publicação de Dados de Proveniência de Workflows Científicos na Web Semântica. SBBD (Short Papers) 2015: 111-116 - [c50]Daniel de Oliveira, Vítor Silva, Marta Mattoso:
How Much Domain Data Should Be in Provenance Databases? TaPP 2015 - [i2]Ubiratam de Paula Junior, Daniel de Oliveira, Yuri Frota, Valmir Carneiro Barbosa, Lúcia M. A. Drummond:
Detecting and Handling Flash-Crowd Events on Cloud Environments. CoRR abs/1510.03913 (2015) - 2014
- [j13]João Roberto de Toledo Quadros, Daniel de Oliveira, Ambrozio Queiroz, Eduardo S. Ogasawara, Carlos Schocair:
Towards a UML-based Reference Model for Blended Learning. Int. J. Recent Contributions Eng. Sci. IT 2(3): 15-22 (2014) - [c49]Rafaelli de C. Coutinho, Lúcia M. A. Drummond, Yuri Frota, Daniel de Oliveira, Kary A. C. S. Ocaña:
Evaluating Grasp-based cloud dimensioning for comparative genomics: A practical approach. CLUSTER 2014: 371-379 - [c48]Flavio Costa, Daniel de Oliveira, Marta Mattoso:
Towards an Adaptive and Distributed Architecture for Managing Workflow Provenance Data. eScience Workshops 2014: 79-82 - [c47]Kary A. C. S. Ocaña, Daniel de Oliveira, Vítor Silva, Silvia Benza, Marta Mattoso:
Exploiting the Parallel Execution of Homology Workflow Alternatives in HPC Compute Clouds. ICSOC Workshops 2014: 336-350 - [c46]Flavio Costa, Vítor Silva, Daniel de Oliveira, Kary A. C. S. Ocaña, Marta Mattoso:
Towards Supporting Provenance Gathering and Querying in Different Database Approaches. IPAW 2014: 254-257 - [c45]Wellington Moreira de Oliveira, Daniel de Oliveira, Vanessa Braganholo:
Experiencing PROV-Wf for Provenance Interoperability in SWfMSs. IPAW 2014: 294-296 - [c44]Kary A. C. S. Ocaña, Silvia Benza, Daniel de Oliveira, Jonas Dias, Marta Mattoso:
Exploring Large Scale Receptor-Ligand Pairs in Molecular Docking Workflows in HPC Clouds. IPDPS Workshops 2014: 536-545 - [c43]Vítor Silva, Daniel de Oliveira, Marta Mattoso:
Exploratory Analysis of Raw Data Files through Dataflows. SBAC-PAD (Workshops) 2014: 114-119 - [c42]Wellington Moreira de Oliveira, Vitor C. Neves, Kary A. C. S. Ocaña, Leonardo Murta, Daniel de Oliveira, Vanessa Braganholo:
Captura e Consulta a Dados de Proveniência Retrospectiva Implícita Intra-Atividade. SBBD 2014: 37-46 - [c41]Daniel de Oliveira, Flavio Costa, Vítor Silva, Kary A. C. S. Ocaña, Marta Mattoso:
Debugging Scientific Workflows with Provenance: Achievements and Lessons Learned. SBBD 2014: 67-76 - [c40]Carlos Filipe Júnior, Guilherme Ferreira, Daniel de Oliveira:
Uso de SGBDs NoSQL na Gerência da Proveniência Distribuída em Workflows Científicos. SBBD 2014: 187-196 - [c39]Lidson Barbosa Jacob, Troy C. Kohwalter, Alex Fernandes da V. Machado, Esteban Walter Gonzalez Clua, Daniel de Oliveira:
A Non-intrusive Approach for 2D Platform Game Design Analysis Based on Provenance Data Extracted from Game Streaming. SBGames 2014: 41-50 - [c38]Rainier Sales, Esteban Clua, Daniel de Oliveira, Aline Paes, Luiz Chaimowicz, Maria Augusta Silveira Netto Nunes:
Evaluation between humans and affective NPC in digital gaming scenario. SeGAH 2014: 1-8 - [i1]Ubiratam de Paula Junior, Lúcia M. A. Drummond, Daniel de Oliveira, Yuri Frota, Valmir Carneiro Barbosa:
Handling Flash-Crowd Events to Improve the Performance of Web Applications. CoRR abs/1410.2834 (2014) - 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]Daniel de Oliveira, Kary A. C. S. Ocaña, Eduardo S. Ogasawara, Jonas Dias, João Carlos de A. R. Gonçalves, Fernanda Araújo Baião, Marta Mattoso:
Performance evaluation of parallel strategies in public clouds: A study with phylogenomic workflows. Future Gener. Comput. Syst. 29(7): 1816-1825 (2013) - [j10]Kary A. C. S. Ocaña, Daniel de Oliveira, Jonas Dias, Eduardo S. Ogasawara, Marta Mattoso:
Designing a parallel cloud based comparative genomics workflow to improve phylogenetic analyses. Future Gener. Comput. Syst. 29(8): 2205-2219 (2013) - [j9]Eduardo S. Ogasawara, Daniel de Oliveira, Fabio Paschoal Junior, Rafael Castañeda, Myrna Amorim, Renato Mauro, Jorge de Abreu Soares, João Quadros, Eduardo Bezerra:
A Forecasting Method for Fertilizers Consumption in Brazil. Int. J. Agric. Environ. Inf. Syst. 4(2): 23-36 (2013) - [j8]João Carlos de A. R. Gonçalves, Daniel de Oliveira, Kary A. C. S. Ocaña, Eduardo S. Ogasawara, Jonas Dias, Marta Mattoso:
Performance Analysis of Data Filtering in Scientific Workflows. J. Inf. Data Manag. 4(1): 17-26 (2013) - [c37]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 - [c36]Flavio Costa, Vítor Silva, Daniel de Oliveira, Kary A. C. S. Ocaña, Eduardo S. Ogasawara, Jonas Dias, Marta Mattoso:
Capturing and querying workflow runtime provenance with PROV: a practical approach. EDBT/ICDT Workshops 2013: 282-289 - [c35]Felipe Horta, Vítor Silva, Flavio Costa, Daniel de Oliveira, Kary A. C. S. Ocaña, Eduardo S. Ogasawara, Jonas Dias, Marta Mattoso:
Provenance traces from Chiron parallel workflow engine. EDBT/ICDT Workshops 2013: 337-338 - [c34]Daniel de Oliveira, Vitor Viana, Eduardo S. Ogasawara, Kary A. C. S. Ocaña, Marta Mattoso:
Dimensioning the virtual cluster for parallel scientific workflows in clouds. ScienceCloud@HPDC 2013: 5-12 - [c33]Julliano Trindade Pintas, Daniel de Oliveira, Kary A. C. S. Ocaña, Eduardo S. Ogasawara, Marta Mattoso:
SciLightning: A Cloud Provenance-Based Event Notification for Parallel Workflows. ICSOC Workshops 2013: 352-365 - [c32]Rainier Sales, Esteban Clua, Daniel de Oliveira, Aline Paes:
An Artificial Emotional Agent-Based Architecture for Games Simulation. ICEC 2013: 156-159 - [c31]Edimar Santos, Vanessa Assis, Flavio Costa, Daniel de Oliveira, Marta Mattoso:
Distribuição de Bases de Dados de Proveniência na Nuvem. SBBD (Short Papers) 2013: 29:1-29:6 - [c30]Marta Mattoso, Kary A. C. S. Ocaña, Felipe Horta, Jonas Dias, Eduardo S. Ogasawara, Vítor Silva, Daniel de Oliveira, Flavio Costa, Igor Araújo:
User-steering of HPC workflows: state-of-the-art and future directions. SWEET@SIGMOD 2013: 4:1-4:6 - [c29]Igor Dos Santos, Jonas Dias, Daniel de Oliveira, Eduardo S. Ogasawara, Kary A. C. S. Ocaña, Marta Mattoso:
Runtime Dynamic Structural Changes of Scientific Workflows in Clouds. UCC 2013: 417-422 - 2012
- [j7]Daniel de Oliveira, Eduardo S. Ogasawara, Kary A. C. S. Ocaña, Fernanda Araújo Baião, Marta Mattoso:
An adaptive parallel execution strategy for cloud-based scientific workflows. Concurr. Comput. Pract. Exp. 24(13): 1531-1550 (2012) - [j6]Daniel de Oliveira, Kary A. C. S. Ocaña, Fernanda Araújo Baião, Marta Mattoso:
A Provenance-based Adaptive Scheduling Heuristic for Parallel Scientific Workflows in Clouds. J. Grid Comput. 10(3): 521-552 (2012) - [j5]Daniel de Oliveira, Eduardo S. Ogasawara, Jonas Dias, Fernanda Araújo Baião, Marta Mattoso:
Ontology-based Semi-automatic Workflow Composition. J. Inf. Data Manag. 3(1): 61-72 (2012) - [c28]Kary A. C. S. Ocaña, Daniel de Oliveira, Jonas Dias, Eduardo S. Ogasawara, Marta Mattoso:
Discovering drug targets for neglected diseases using a pharmacophylogenomic cloud workflow. eScience 2012: 1-8 - [c27]João Carlos de A. R. Gonçalves, Daniel de Oliveira, Kary A. C. S. Ocaña, Eduardo S. Ogasawara, Marta Mattoso:
Using Domain-Specific Data to Enhance Scientific Workflow Steering Queries. IPAW 2012: 152-167 - [c26]Flavio Costa, Daniel de Oliveira, Kary A. C. S. Ocaña, Eduardo S. Ogasawara, Marta Mattoso:
Enabling Re-executions of Parallel Scientific Workflows Using Runtime Provenance Data. IPAW 2012: 229-232 - [c25]João Carlos de A. R. Gonçalves, Daniel de Oliveira, Kary A. C. S. Ocaña, Eduardo S. Ogasawara, Jonas Dias, Marta Mattoso:
Using Provenance Analyzers to Improve the Performance of Scientific Workflows in Cloud Environments. SBBD (Short Papers) 2012: 1-8 - [c24]Ary Henrique M. de Oliveira, Murilo de Souza Martins, Igor Modesto, Daniel de Oliveira, Marta Mattoso:
Reprodução de Experimentos Científicos Usando Nuvens. SBBD (Short Papers) 2012: 9-16 - [c23]Flavio Costa, Daniel de Oliveira, Kary A. C. S. Ocaña, Eduardo S. Ogasawara, Jonas Dias, Marta Mattoso:
Handling Failures in Parallel Scientific Workflows Using Clouds. SC Companion 2012: 129-139 - [c22]Felipe Horta, Jonas Dias, Kary A. C. S. Ocaña, Daniel de Oliveira, Eduardo S. Ogasawara, Marta Mattoso:
Abstract: Using Provenance to Visualize Data from Large-Scale Experiments. SC Companion 2012: 1418-1419 - [c21]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 - [c20]Kary A. C. S. Ocaña, Daniel de Oliveira, Felipe Horta, Jonas Dias, Eduardo S. Ogasawara, Marta Mattoso:
Exploring Molecular Evolution Reconstruction Using a Parallel Cloud Based Scientific Workflow. BSB 2012: 179-191 - 2011
- [j4]Fábio Coutinho, Eduardo S. Ogasawara, Daniel de Oliveira, Vanessa Braganholo, Alexandre A. B. Lima, Alberto M. R. Dávila, Marta Mattoso:
Many task computing for orthologous genes identification in protozoan genomes using Hydra. Concurr. Comput. Pract. Exp. 23(17): 2326-2337 (2011) - [j3]Sérgio Manuel Serra da Cruz, Carlos Eduardo Paulino Silva, Daniel de Oliveira, Maria Luiza Machado Campos, Marta Mattoso:
Capturing Distributed Provenance Metadata from Cloud-Based Scientific Workflows. J. Inf. Data Manag. 2(1): 43-50 (2011) - [j2]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) - [c19]Daniel de Oliveira, Kary A. C. S. Ocaña, Eduardo S. Ogasawara, Jonas Dias, Fernanda Araújo Baião, Marta Mattoso:
A Performance Evaluation of X-Ray Crystallography Scientific Workflow Using SciCumulus. IEEE CLOUD 2011: 708-715 - [c18]Kary A. C. S. Ocaña, Daniel de Oliveira, Jonas Dias, Eduardo S. Ogasawara, Marta Mattoso:
Optimizing Phylogenetic Analysis Using SciHmm Cloud-based Scientific Workflow. eScience 2011: 62-69 - [c17]Vitor Viana, Daniel de Oliveira, Eduardo S. Ogasawara, Marta Mattoso:
SciCumulus-ECM: Um Serviço de Custos para a Execução de Workflows Científicos em Nuvens Computacionais. SBBD (Short Papers) 2011: 1-8 - [c16]Daniel de Oliveira, Eduardo S. Ogasawara, Fernanda Araújo Baião, Marta Mattoso:
Adding Ontologies to Scientific Workflow Composition. SBBD (Short Papers) 2011: 147-154 - [c15]Jonas Dias, Eduardo S. Ogasawara, Daniel de Oliveira, Marta Mattoso:
Poster: scientific data parallelism using P2P technique. SC Companion 2011: 27-28 - [c14]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 - [c13]Vitor Viana, Daniel de Oliveira, Marta Mattoso:
Towards a Cost Model for Scheduling Scientific Workflows Activities in Cloud Environments. SERVICES 2011: 216-219 - [c12]Kary A. C. S. Ocaña, Daniel de Oliveira, Eduardo S. Ogasawara, Alberto M. R. Dávila, Alexandre A. B. Lima, Marta Mattoso:
SciPhy: A Cloud-Based Workflow for Phylogenetic Analysis of Drug Targets in Protozoan Genomes. BSB 2011: 66-70 - 2010
- [j1]Marta Mattoso, Cláudia M. L. Werner, Guilherme Horta Travassos, Vanessa Braganholo, Eduardo S. Ogasawara, Daniel de Oliveira, Sérgio Manuel Serra da Cruz, Wallace Martinho, Leonardo Murta:
Towards supporting the life cycle of large scale scientific experiments. Int. J. Bus. Process. Integr. Manag. 5(1): 79-92 (2010) - [c11]Daniel de Oliveira, Eduardo S. Ogasawara, Fernanda Araújo Baião, Marta Mattoso:
SciCumulus: A Lightweight Cloud Middleware to Explore Many Task Computing Paradigm in Scientific Workflows. IEEE CLOUD 2010: 378-385 - [c10]Fábio Coutinho, Eduardo S. Ogasawara, Daniel de Oliveira, Vanessa Braganholo, Alexandre A. B. Lima, Alberto M. R. Dávila, Marta Mattoso:
Data parallelism in bioinformatics workflows using Hydra. HPDC 2010: 507-515 - [c9]Eduardo S. Ogasawara, Leonardo C. Martinez, Daniel de Oliveira, Geraldo Zimbrão, Gisele L. Pappa, Marta Mattoso:
Adaptive Normalization: A novel data normalization approach for non-stationary time series. IJCNN 2010: 1-8 - [c8]Daniel de Oliveira, Eduardo S. Ogasawara, Fernando Seabra Chirigati, Vítor Silva, Leonardo Gresta Paulino Murta, Marta Mattoso:
GExpLine: A Tool for Supporting Experiment Composition. IPAW 2010: 251-259 - [c7]Flavio Costa, Daniel de Oliveira, Eduardo S. Ogasawara, Alexandre A. B. Lima, Marta Mattoso:
Athena: Text Mining Based Discovery of Scientific Workflows in Disperse Repositories. RED 2010: 104-121 - [c6]Carlos Eduardo Paulino Silva, Daniel de Oliveira, Sérgio Manuel Serra da Cruz, Maria Luiza Machado Campos, Marta Mattoso:
Captura de Metadados de Proveniência para Workflows Científicos em Nuvens Computacionais. SBBD (Posters) 2010: 10:1-10:8 - [c5]Jonas Dias, Eduardo S. Ogasawara, Daniel de Oliveira, Esther Pacitti, Marta Mattoso:
Improving Many-Task computing in scientific workflows using P2P techniques. MTAGS@SC 2010: 1-10 - [c4]Eduardo S. Ogasawara, Jonas Dias, Daniel de Oliveira, Carla Rodrigues, Carlos Pivotto, Rafael Antas, Vanessa Braganholo, Patrick Valduriez, Marta Mattoso:
A P2P Approach to Many Tasks Computing for Scientific Workflows. VECPAR 2010: 327-339 - [p1]Daniel de Oliveira, Fernanda Araújo Baião, Marta Mattoso:
Towards a Taxonomy for Cloud Computing from an e-Science Perspective. Cloud Computing 2010: 47-62
2000 – 2009
- 2009
- [c3]Eduardo S. Ogasawara, Daniel de Oliveira, Fernando Seabra Chirigati, Carlos Eduardo Barbosa, Renato N. Elias, Vanessa Braganholo, Alvaro L. G. A. Coutinho, Marta Mattoso:
Exploring many task computing in scientific workflows. SC-MTAGS 2009 - [c2]Daniel de Oliveira, Luiz Cunha, Luiz Tomaz, Vinicius Pereira, Marta Mattoso:
Using Ontologies to Support Deep Water Oil Exploration Scientific Workflows. SERVICES I 2009: 364-367 - 2006
- [c1]Nicolaas Ruberg, Nelson Kotowski, Amanda S. de Mattos, Luciana Matos, Melissa Machado, Daniel de Oliveira, Rafael Monclar, Cláudio Ananias Ferraz, Talitta Sanchotene, Vanessa Braganholo:
Experiencing Data Grids. VECPAR 2006: 707-718
Coauthor Index
Lúcia M. A. Drummond
aka: Lúcia Maria de Assumpção Drummond
aka: Lúcia Maria de Assumpção Drummond
Maristela Holanda
aka: Maristela Terto de Holanda
aka: Maristela Terto de Holanda
[j74] [j70] [c119] [i10] [j64] [c110] [c106] [j59] [c101] [j42] [j41] [j40] [c98] [d1] [i4] [j34] [j33] [j31] [c89] [c86] [c76] [j26] [j25] [c70] [c68] [c66] [j23] [j22] [c62] [p2] [j18] [j17] [c60] [c55] [j14] [c53] [c51] [c50] [c48] [c47] [c46] [c44] [c43] [c41] [j12] [j11] [j10] [j8] [c37] [c36] [c35] [c34] [c33] [c31] [c30] [c29] [j7] [j6] [j5] [c28] [c27] [c26] [c25] [c24] [c23] [c22] [c21] [c20] [j4] [j3] [j2] [c19] [c18] [c17] [c16] [c15] [c14] [c13] [c12] [j1] [c11] [c10] [c9] [c8] [c7] [c6] [c5] [c4] [p1] [c3] [c2]
Kary A. C. S. Ocaña
aka: Kary Ann del Carmen Ocaña Gautherot
aka: Kary Ann del Carmen Ocaña Gautherot
[j38] [j35] [j33] [c91] [j29] [c85] [c83] [c80] [c78] [c75] [c66] [j23] [j20] [j19] [c64] [c61] [p3] [j16] [c59] [c58] [c56] [j14] [c53] [c51] [c49] [c47] [c46] [c44] [c42] [c41] [j11] [j10] [j8] [c36] [c35] [c34] [c33] [c30] [c29] [j7] [j6] [c28] [c27] [c26] [c25] [c23] [c22] [c20] [c19] [c18] [c12]
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