Experiencing Data Grids. - Nicolaas Ruberg; Nelson Kotowski; Amanda S. de Mattos; Luciana Matos; Melissa Machado; Daniel de Oliveira 001; Rafael Monclar; Cláudio Ananias Ferraz; Talitta Sanchotene; Vanessa Braganholo (VECPAR, 2006)

Exploring many task computing in scientific workflows. - Eduardo S. Ogasawara; Daniel de Oliveira 001; Fernando Seabra Chirigati; Carlos Eduardo Barbosa; Renato N. Elias; Vanessa Braganholo; Alvaro L. G. A. Coutinho; Marta Mattoso (SC-MTAGS, 2009)

Using Ontologies to Support Deep Water Oil Exploration Scientific Workflows. - Daniel de Oliveira 001; Luiz Cunha; Luiz Tomaz; Vinicius Pereira; Marta Mattoso (SERVICES I, 2009)

SciCumulus: A Lightweight Cloud Middleware to Explore Many Task Computing Paradigm in Scientific Workflows. - Daniel de Oliveira 001; Eduardo S. Ogasawara; Fernanda Araújo Baião; Marta Mattoso (IEEE CLOUD, 2010)

Data parallelism in bioinformatics workflows using Hydra. - Fábio Coutinho; Eduardo S. Ogasawara; Daniel de Oliveira 001; Vanessa Braganholo; Alexandre A. B. Lima; Alberto M. R. Dávila; Marta Mattoso (HPDC, 2010)

Adaptive Normalization: A novel data normalization approach for non-stationary time series. - Eduardo S. Ogasawara; Leonardo C. Martinez; Daniel de Oliveira 001; Geraldo Zimbrão; Gisele L. Pappa; Marta Mattoso (IJCNN, 2010)

GExpLine: A Tool for Supporting Experiment Composition. - Daniel de Oliveira 001; Eduardo S. Ogasawara; Fernando Seabra Chirigati; Vítor Silva 003; Leonardo Gresta Paulino Murta; Marta Mattoso (IPAW, 2010)

Athena: Text Mining Based Discovery of Scientific Workflows in Disperse Repositories. - Flavio Costa; Daniel de Oliveira 001; Eduardo S. Ogasawara; Alexandre A. B. Lima; Marta Mattoso (RED, 2010)

Captura de Metadados de Proveniência para Workflows Científicos em Nuvens Computacionais. - Carlos Eduardo Paulino Silva; Daniel de Oliveira 001; Sérgio Manuel Serra da Cruz; Maria Luiza Machado Campos; Marta Mattoso (SBBD (Posters), 2010)

Improving Many-Task computing in scientific workflows using P2P techniques. - Jonas Dias; Eduardo S. Ogasawara; Daniel de Oliveira 001; Esther Pacitti; Marta Mattoso (MTAGS@SC, 2010)

A P2P Approach to Many Tasks Computing for Scientific Workflows. - Eduardo S. Ogasawara; Jonas Dias; Daniel de Oliveira 001; Carla Rodrigues; Carlos Pivotto; Rafael Antas; Vanessa Braganholo; Patrick Valduriez; Marta Mattoso (VECPAR, 2010)

Towards supporting the life cycle of large scale scientific experiments. - Marta Mattoso; Cláudia M. L. Werner; Guilherme Horta Travassos; Vanessa Braganholo; Eduardo S. Ogasawara; Daniel de Oliveira 001; Sérgio Manuel Serra da Cruz; Wallace Martinho; Leonardo Murta 001 (Int. J. Bus. Process. Integr. Manag., 2010)

Towards a Taxonomy for Cloud Computing from an e-Science Perspective. - Daniel de Oliveira 001; Fernanda Araújo Baião; Marta Mattoso (Cloud Computing, 2010)

A Performance Evaluation of X-Ray Crystallography Scientific Workflow Using SciCumulus. - Daniel de Oliveira 001; Kary A. C. S. Ocaña; Eduardo S. Ogasawara; Jonas Dias; Fernanda Araújo Baião; Marta Mattoso (IEEE CLOUD, 2011)

Optimizing Phylogenetic Analysis Using SciHmm Cloud-based Scientific Workflow. - Kary A. C. S. Ocaña; Daniel de Oliveira 001; Jonas Dias; Eduardo S. Ogasawara; Marta Mattoso (eScience, 2011)

Adding Ontologies to Scientific Workflow Composition. - Daniel de Oliveira 001; Eduardo S. Ogasawara; Fernanda Araújo Baião; Marta Mattoso (SBBD (Short Papers), 2011)

SciCumulus-ECM: Um Serviço de Custos para a Execução de Workflows Científicos em Nuvens Computacionais. - Vitor Viana; Daniel de Oliveira 001; Eduardo S. Ogasawara; Marta Mattoso (SBBD (Short Papers), 2011)

Poster: scientific data parallelism using P2P technique. - Jonas Dias; Eduardo S. Ogasawara; Daniel de Oliveira 001; Marta Mattoso (SC Companion, 2011)

Supporting dynamic parameter sweep in adaptive and user-steered workflow. - Jonas Dias; Eduardo S. Ogasawara; Daniel de Oliveira 001; Fábio Porto 001; Alvaro L. G. A. Coutinho; Marta Mattoso (WORKS@SC, 2011)

Towards a Cost Model for Scheduling Scientific Workflows Activities in Cloud Environments. - Vitor Viana; Daniel de Oliveira 001; Marta Mattoso (SERVICES, 2011)

SciPhy: A Cloud-Based Workflow for Phylogenetic Analysis of Drug Targets in Protozoan Genomes. - Kary A. C. S. Ocaña; Daniel de Oliveira 001; Eduardo S. Ogasawara; Alberto M. R. Dávila; Alexandre A. B. Lima; Marta Mattoso (BSB, 2011)

Many task computing for orthologous genes identification in protozoan genomes using Hydra. - Fábio Coutinho; Eduardo S. Ogasawara; Daniel de Oliveira 001; Vanessa Braganholo; Alexandre A. B. Lima; Alberto M. R. Dávila; Marta Mattoso (Concurr. Comput. Pract. Exp., 2011)

Capturing Distributed Provenance Metadata from Cloud-Based Scientific Workflows. - Sérgio Manuel Serra da Cruz; Carlos Eduardo Paulino Silva; Daniel de Oliveira 001; Maria Luiza Machado Campos; Marta Mattoso (J. Inf. Data Manag., 2011)

An Algebraic Approach for Data-Centric Scientific Workflows. - Eduardo S. Ogasawara; Daniel de Oliveira 001; Patrick Valduriez; Jonas Dias; Fábio Porto 001; Marta Mattoso (Proc. VLDB Endow., 2011)

Discovering drug targets for neglected diseases using a pharmacophylogenomic cloud workflow. - Kary A. C. S. Ocaña; Daniel de Oliveira 001; Jonas Dias; Eduardo S. Ogasawara; Marta Mattoso (eScience, 2012)

Enabling Re-executions of Parallel Scientific Workflows Using Runtime Provenance Data. - Flavio Costa; Daniel de Oliveira 001; Kary A. C. S. Ocaña; Eduardo S. Ogasawara; Marta Mattoso (IPAW, 2012)

Using Domain-Specific Data to Enhance Scientific Workflow Steering Queries. - João Carlos de A. R. Gonçalves; Daniel de Oliveira 001; Kary A. C. S. Ocaña; Eduardo S. Ogasawara; Marta Mattoso (IPAW, 2012)

Using Provenance Analyzers to Improve the Performance of Scientific Workflows in Cloud Environments. - João Carlos de A. R. Gonçalves; Daniel de Oliveira 001; Kary A. C. S. Ocaña; Eduardo S. Ogasawara; Jonas Dias; Marta Mattoso (SBBD (Short Papers), 2012)

Reprodução de Experimentos Científicos Usando Nuvens. - Ary Henrique M. de Oliveira; Murilo de Souza Martins; Igor Modesto; Daniel de Oliveira 001; Marta Mattoso (SBBD (Short Papers), 2012)

Handling Failures in Parallel Scientific Workflows Using Clouds. - Flavio Costa; Daniel de Oliveira 001; Kary A. C. S. Ocaña; Eduardo S. Ogasawara; Jonas Dias; Marta Mattoso (SC Companion, 2012)

Abstract: Using Provenance to Visualize Data from Large-Scale Experiments. - Felipe Horta; Jonas Dias; Kary A. C. S. Ocaña; Daniel de Oliveira 001; Eduardo S. Ogasawara; Marta Mattoso (SC Companion, 2012)

Evaluating parameter sweep workflows in high performance computing. - Fernando Chirigati; Vítor Silva 003; Eduardo S. Ogasawara; Daniel de Oliveira 001; Jonas Dias; Fábio Porto 001; Patrick Valduriez; Marta Mattoso (SWEET@SIGMOD, 2012)

Exploring Molecular Evolution Reconstruction Using a Parallel Cloud Based Scientific Workflow. - Kary A. C. S. Ocaña; Daniel de Oliveira 001; Felipe Horta; Jonas Dias; Eduardo S. Ogasawara; Marta Mattoso (BSB, 2012)

An adaptive parallel execution strategy for cloud-based scientific workflows. - Daniel de Oliveira 001; Eduardo S. Ogasawara; Kary A. C. S. Ocaña; Fernanda Araújo Baião; Marta Mattoso (Concurr. Comput. Pract. Exp., 2012)

A Provenance-based Adaptive Scheduling Heuristic for Parallel Scientific Workflows in Clouds. - Daniel de Oliveira 001; Kary A. C. S. Ocaña; Fernanda Araújo Baião; Marta Mattoso (J. Grid Comput., 2012)

Ontology-based Semi-automatic Workflow Composition. - Daniel de Oliveira 001; Eduardo S. Ogasawara; Jonas Dias; Fernanda Araújo Baião; Marta Mattoso (J. Inf. Data Manag., 2012)

Algebraic dataflows for big data analysis. - Jonas Dias; Eduardo S. Ogasawara; Daniel de Oliveira 001; Fábio Porto 001; Patrick Valduriez; Marta Mattoso (IEEE BigData, 2013)

Capturing and querying workflow runtime provenance with PROV: a practical approach. - Flavio Costa; Vítor Silva 003; Daniel de Oliveira 001; Kary A. C. S. Ocaña; Eduardo S. Ogasawara; Jonas Dias; Marta Mattoso (EDBT/ICDT Workshops, 2013)

Provenance traces from Chiron parallel workflow engine. - Felipe Horta; Vítor Silva 003; Flavio Costa; Daniel de Oliveira 001; Kary A. C. S. Ocaña; Eduardo S. Ogasawara; Jonas Dias; Marta Mattoso (EDBT/ICDT Workshops, 2013)

Dimensioning the virtual cluster for parallel scientific workflows in clouds. - Daniel de Oliveira 001; Vitor Viana; Eduardo S. Ogasawara; Kary A. C. S. Ocaña; Marta Mattoso (ScienceCloud@HPDC, 2013)

SciLightning: A Cloud Provenance-Based Event Notification for Parallel Workflows. - Julliano Trindade Pintas; Daniel de Oliveira 001; Kary A. C. S. Ocaña; Eduardo S. Ogasawara; Marta Mattoso (ICSOC Workshops, 2013)

An Artificial Emotional Agent-Based Architecture for Games Simulation. - Rainier Sales; Esteban Clua; Daniel de Oliveira 001; Aline Paes (ICEC, 2013)

Distribuição de Bases de Dados de Proveniência na Nuvem. - Edimar Santos; Vanessa Assis; Flavio Costa; Daniel de Oliveira 001; Marta Mattoso (SBBD (Short Papers), 2013)

User-steering of HPC workflows: state-of-the-art and future directions. - Marta Mattoso; Kary A. C. S. Ocaña; Felipe Horta; Jonas Dias; Eduardo S. Ogasawara; Vítor Silva 003; Daniel de Oliveira 001; Flavio Costa; Igor Araújo (SWEET@SIGMOD, 2013)

Runtime Dynamic Structural Changes of Scientific Workflows in Clouds. - Igor Dos Santos; Jonas Dias; Daniel de Oliveira 001; Eduardo S. Ogasawara; Kary A. C. S. Ocaña; Marta Mattoso (UCC, 2013)

Chiron: a parallel engine for algebraic scientific workflows. - Eduardo S. Ogasawara; Jonas Dias; Vítor Silva 003; Fernando Seabra Chirigati; Daniel de Oliveira 001; Fábio Porto 001; Patrick Valduriez; Marta Mattoso (Concurr. Comput. Pract. Exp., 2013)

Designing a parallel cloud based comparative genomics workflow to improve phylogenetic analyses. - Kary A. C. S. Ocaña; Daniel de Oliveira 001; Jonas Dias; Eduardo S. Ogasawara; Marta Mattoso (Future Gener. Comput. Syst., 2013)

Performance evaluation of parallel strategies in public clouds: A study with phylogenomic workflows. - Daniel de Oliveira 001; Kary A. C. S. Ocaña; Eduardo S. Ogasawara; Jonas Dias; João Carlos de A. R. Gonçalves; Fernanda Araújo Baião; Marta Mattoso (Future Gener. Comput. Syst., 2013)

A Forecasting Method for Fertilizers Consumption in Brazil. - Eduardo S. Ogasawara; Daniel de Oliveira 001; Fabio Paschoal Junior; Rafael Castañeda; Myrna Amorim; Renato Mauro; Jorge Soares 001; João Quadros; Eduardo Bezerra 002 (Int. J. Agric. Environ. Inf. Syst., 2013)

Performance Analysis of Data Filtering in Scientific Workflows. - João Carlos de A. R. Gonçalves; Daniel de Oliveira 001; Kary A. C. S. Ocaña; Eduardo S. Ogasawara; Jonas Dias; Marta Mattoso (J. Inf. Data Manag., 2013)

Evaluating Grasp-based cloud dimensioning for comparative genomics: A practical approach. - Rafaelli de C. Coutinho; Lúcia M. A. Drummond; Yuri Frota; Daniel de Oliveira 001; Kary A. C. S. Ocaña (CLUSTER, 2014)

Towards an Adaptive and Distributed Architecture for Managing Workflow Provenance Data. - Flavio Costa; Daniel de Oliveira 001; Marta Mattoso (eScience Workshops, 2014)

Exploiting the Parallel Execution of Homology Workflow Alternatives in HPC Compute Clouds. - Kary A. C. S. Ocaña; Daniel de Oliveira 001; Vítor Silva 003; Silvia Benza; Marta Mattoso (ICSOC Workshops, 2014)

Towards Supporting Provenance Gathering and Querying in Different Database Approaches. - Flavio Costa; Vítor Silva 003; Daniel de Oliveira 001; Kary A. C. S. Ocaña; Marta Mattoso (IPAW, 2014)

Experiencing PROV-Wf for Provenance Interoperability in SWfMSs. - Wellington Moreira de Oliveira; Daniel de Oliveira 001; Vanessa Braganholo (IPAW, 2014)

Exploring Large Scale Receptor-Ligand Pairs in Molecular Docking Workflows in HPC Clouds. - Kary A. C. S. Ocaña; Silvia Benza; Daniel de Oliveira 001; Jonas Dias; Marta Mattoso (IPDPS Workshops, 2014)

Exploratory Analysis of Raw Data Files through Dataflows. - Vítor Silva 003; Daniel de Oliveira 001; Marta Mattoso (SBAC-PAD (Workshops), 2014)

Uso de SGBDs NoSQL na Gerência da Proveniência Distribuída em Workflows Científicos. - Carlos Filipe Júnior; Guilherme Ferreira; Daniel de Oliveira 001 (SBBD, 2014)

Debugging Scientific Workflows with Provenance: Achievements and Lessons Learned. - Daniel de Oliveira 001; Flavio Costa; Vítor Silva 003; Kary A. C. S. Ocaña; Marta Mattoso (SBBD, 2014)

Captura e Consulta a Dados de Proveniência Retrospectiva Implícita Intra-Atividade. - Wellington Moreira de Oliveira; Vitor C. Neves; Kary A. C. S. Ocaña; Leonardo Murta 001; Daniel de Oliveira 001; Vanessa Braganholo (SBBD, 2014)

A Non-intrusive Approach for 2D Platform Game Design Analysis Based on Provenance Data Extracted from Game Streaming. - Lidson Barbosa Jacob; Troy C. Kohwalter; Alex Fernandes da V. Machado; Esteban Walter Gonzalez Clua; Daniel de Oliveira 001 (SBGames, 2014)

Evaluation between humans and affective NPC in digital gaming scenario. - Rainier Sales; Esteban Clua; Daniel de Oliveira 001; Aline Paes; Luiz Chaimowicz; Maria Augusta Silveira Netto Nunes (SeGAH, 2014)

Towards a UML-based Reference Model for Blended Learning. - João Roberto de Toledo Quadros; Daniel de Oliveira 001; Ambrozio Queiroz; Eduardo S. Ogasawara; Carlos Schocair (Int. J. Recent Contributions Eng. Sci. IT, 2014)

Running Multi-relational Data Mining Processes in the Cloud: A Practical Approach for Social Networks. - Aline Paes; Daniel de Oliveira 001 (CARLA, 2015)

Data Analytics in Bioinformatics: Data Science in Practice for Genomics Analysis Workflows. - Kary A. C. S. Ocaña; Vítor Silva 003; Daniel de Oliveira 001; Marta Mattoso (e-Science, 2015)

Handling flash-crowd events to improve the performance of web applications. - Ubiratam de Paula Junior; Lúcia M. A. Drummond; Daniel de Oliveira 001; Yuri Frota; Valmir Carneiro Barbosa (SAC, 2015)

Uma Abordagem para Publicação de Dados de Proveniência de Workflows Científicos na Web Semântica. - Rachel Castro; Renan Souza 001; Vítor Silva 003; Kary A. C. S. Ocaña; Daniel de Oliveira 001; Marta Mattoso (SBBD (Short Papers), 2015)

How Much Domain Data Should Be in Provenance Databases? - Daniel de Oliveira 001; Vítor Silva 003; Marta Mattoso (TaPP, 2015)

Detecting and Handling Flash-Crowd Events on Cloud Environments. - Ubiratam de Paula Junior; Daniel de Oliveira 001; Yuri Frota; Valmir Carneiro Barbosa; Lúcia M. A. Drummond (CoRR, 2015)

Optimizing virtual machine allocation for parallel scientific workflows in federated clouds. - Rafaelli de C. Coutinho; Lúcia M. A. Drummond; Yuri Frota; Daniel de Oliveira 001 (Future Gener. Comput. Syst., 2015)

Dynamic steering of HPC scientific workflows: A survey. - Marta Mattoso; Jonas Dias; Kary A. C. S. Ocaña; Eduardo S. Ogasawara; Flavio Costa; Felipe Horta; Vítor Silva 003; Daniel de Oliveira 001 (Future Gener. Comput. Syst., 2015)

Enhancing Energy Production with Exascale HPC Methods. - 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 007; et al. (CARLA, 2016)

Analyzing Provenance Across Heterogeneous Provenance Graphs. - Wellington Moreira de Oliveira; Paolo Missier; Kary A. C. S. Ocaña; Daniel de Oliveira 001; Vanessa Braganholo (IPAW, 2016)

Gerência de Incerteza em Bancos de Dados de Proveniência de Workflows de Bioinformática. - Gustavo Tallarida; Kary A. C. S. Ocaña; Aline Paes; Vanessa Braganholo; Daniel de Oliveira 001 (SBBD, 2016)

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]. - Vítor N. Lourenço; Paulo Mann; Aline Paes; Daniel Oliveira 001 (SBSI, 2016)

Um Sistema de Informação para Gerência de Projetos Científicos baseados em Simulações Computacionais [An IS for Managing Scientific Projects]. - Leonardo S. Ramos; Kary A. C. S. Ocaña; Daniel Oliveira 001 (SBSI, 2016)

Integrating Domain-Data Steering with Code-Profiling Tools to Debug Data-Intensive Workflows. - Vítor Silva 003; Leonardo Neves; Renan Souza 001; Alvaro L. G. A. Coutinho; Daniel de Oliveira 001; Marta Mattoso (WORKS@SC, 2016)

Analyzing related raw data files through dataflows. - Vítor Silva 003; Daniel de Oliveira 001; Patrick Valduriez; Marta Mattoso (Concurr. Comput. Pract. Exp., 2016)

Multi-objective scheduling of Scientific Workflows in multisite clouds. - Ji Liu 003; Esther Pacitti; Patrick Valduriez; Daniel de Oliveira 001; Marta Mattoso (Future Gener. Comput. Syst., 2016)

A Dynamic Cloud Dimensioning Approach for Parallel Scientific Workflows: a Case Study in the Comparative Genomics Domain. - Rafaelli de C. Coutinho; Yuri Frota; Kary A. C. S. Ocaña; Daniel de Oliveira 001; Lúcia M. A. Drummond (J. Grid Comput., 2016)

Eeny Meeny Miny Moe: Choosing the Fault Tolerance Technique for my Cloud Workflow. - Leonardo Araújo de Jesus; Lúcia M. A. Drummond; Daniel de Oliveira 001 (CARLA, 2017)

SciAgile: Aplicação de Metodologias Ágeis em Experimentos Científicos Baseados em Simulação. - Augusto Romeiro; Kary A. C. S. Ocaña; Marcos Kalinowski; Daniel de Oliveira 001 (CIbSE, 2017)

A Systematic Mapping of Software Requirements Negotiation Techniques. - Lucas Tito; Alexandre Estebanez; Andréa Magalhães Magdaleno; Daniel de Oliveira 001; Marcos Kalinowski (ICEIS (2), 2017)

Análise de Dados Científicos: uma Análise Comparativa de Dados de Simulações Computacionais. - Thaylon Guedes; Vítor Silva 003; José J. Camata; Marta Mattoso; Daniel de Oliveira 001 (SBBD (Short Papers), 2017)

Towards preserving results confidentiality in cloud-based scientific workflows. - Isabel Rosseti; Kary A. C. S. Ocaña; Daniel de Oliveira 001 (WORKS@SC, 2017)

Oh Gosh!! Why is this game so hard? Identifying cycle patterns in 2D platform games using provenance data. - Lidson Barbosa Jacob; Esteban Clua; Daniel de Oliveira 001 (Entertain. Comput., 2017)

Deriving scientific workflows from algebraic experiment lines: A practical approach. - Anderson Marinho; Daniel de Oliveira 001; Eduardo S. Ogasawara; Vítor Silva 003; Kary A. C. S. Ocaña; Leonardo Murta 001; Vanessa Braganholo; Marta Mattoso (Future Gener. Comput. Syst., 2017)

Raw data queries during data-intensive parallel workflow execution. - Vítor Silva 003; José Leite; José J. Camata; Daniel de Oliveira 001; Alvaro L. G. A. Coutinho; Patrick Valduriez; Marta Mattoso (Future Gener. Comput. Syst., 2017)

A hybrid evolutionary algorithm for task scheduling and data assignment of data-intensive scientific workflows on clouds. - Luan Teylo; Ubiratam de Paula Junior; Yuri Frota; Daniel de Oliveira 001; Lúcia M. A. Drummond (Future Gener. Comput. Syst., 2017)

Querying Provenance along with External Domain Data Using Prolog. - Wellington Moreira de Oliveira; Kary A. C. S. Ocaña; Daniel de Oliveira 001; Vanessa Braganholo (J. Inf. Data Manag., 2017)

Managing Provenance of Implicit Data Flows in Scientific Experiments. - Vitor C. Neves; Daniel de Oliveira 001; Kary A. C. S. Ocaña; Vanessa Braganholo; Leonardo Murta 001 (ACM Trans. Internet Techn., 2017)

Mirror Mirror on the Wall, How Do I Dimension My Cloud After All? - Rafaelli de C. Coutinho; Yuri Frota; Kary A. C. S. Ocaña; Daniel de Oliveira 001; Lúcia M. A. Drummond (Cloud Computing, 2nd Ed., 2017)

Clouds and Reproducibility: A Way to Go to Scientific Experiments? - Ary Henrique M. de Oliveira; Daniel de Oliveira 001; Marta Mattoso (Cloud Computing, 2nd Ed., 2017)

Exploring Diversified Similarity with Kundaha. - Lúcio F. D. Santos; Gustavo Blanco; Daniel de Oliveira 001; Agma J. M. Traina; Caetano Traina Jr.; Marcos V. N. Bedo (CIKM, 2018)

Towards Safer (Smart) Cities: Discovering Urban Crime Patterns Using Logic-based Relational Machine Learning. - Vítor Lourenço; Paulo Mann; Artur Guimaraes; Aline Paes; Daniel de Oliveira 001 (IJCNN, 2018)

Capturing Provenance for Runtime Data Analysis in Computational Science and Engineering Applications. - Vítor Silva 003; Renan Souza 001; José J. Camata; Daniel de Oliveira 001; Patrick Valduriez; Alvaro L. G. A. Coutinho; Marta Mattoso (IPAW, 2018)

Análise Online de Dados de Proveniência e de Domínio de Aplicações Spark com SAMbA. - Thaylon Guedes; Vítor Silva 003; Marcos V. N. Bedo; Marta Mattoso; Daniel de Oliveira 001 (SBBD Companion, 2018)

VP-Viewer: keeping Track of Your Query from a Vantage Point. - Daniel L. Jasbick; Thaylon Guedes; Rodolfo Alves de Oliveira; Lúcio F. D. Santos; Daniel de Oliveira 001; Marcos V. N. Bedo (SBBD Companion, 2018)

FReeP: towards Parameter Recommendation in Scientific Workflows using Preference Learning. - Daniel Silva Jr.; Aline Paes; Esther Pacitti; Daniel de Oliveira 001 (SBBD, 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 003; Hermano Lustosa; Florent Masseglia; Fabrício Nogueira da Silva; et al. (LADaS@VLDB, 2018)

Provenance Analytics for Workflow-Based Computational Experiments: A Survey. - Wellington Moreira de Oliveira; Daniel de Oliveira 001; Vanessa Braganholo (ACM Comput. Surv., 2018)

Beyond Hit-or-Miss: A Comparative Study of Synopses for Similarity Searching. - Marcos Vinicius Naves Bedo; Daniel de Oliveira 001; Agma J. M. Traina; Caetano Traina Jr. (J. Inf. Data Manag., 2018)

Towards an Empirical Evaluation of Scientific Data Indexing and Querying. - Thaylon Guedes; Vítor Silva 003; José J. Camata; Marcos V. N. Bedo; Marta Mattoso; Daniel C. M. de Oliveira (J. Inf. Data Manag., 2018)

DfAnalyzer: Runtime Dataflow Analysis of Scientific Applications using Provenance. - Vítor Silva 003; Daniel de Oliveira 001; Marta Mattoso; Patrick Valduriez (Proc. VLDB Endow., 2018)

Performance Evaluation of Parallel Inference of Large Phylogenetic Trees in Santos Dumont Supercomputer: A Practical Approach. - Kary A. C. S. Ocaña; Carla Osthoff; Micaella Coelho; Marcelo Galheigo; Isabela Canuto; Douglas E. M. de Oliveira; Daniel de Oliveira 001 (CARLA, 2019)

A Two-Phase Learning Approach for the Segmentation of Dermatological Wounds. - 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 001; Marcos V. N. Bedo (CBMS, 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 001; Fábio Porto 001; Ana Tereza Ribeiro de Vasconcelos (CCGRID, 2019)

Adaptive Caching for Data-Intensive Scientific Workflows in the Cloud. - Gaëtan Heidsieck; Daniel de Oliveira 001; Esther Pacitti; Christophe Pradal; François Tardieu; Patrick Valduriez (DEXA (2), 2019)

Using Model Scoping with Expected Model Elements to Support Software Model Inspections: Results of a Controlled Experiment. - Carlos Gracioli Neto; Amadeu Anderlin Neto; Marcos Kalinowski; Daniel Cardoso Moraes de Oliveira; Marta Sabou; Dietmar Winkler 001; Stefan Biffl (ICEIS (2), 2019)

A Reinforcement Learning Scheduling Strategy for Parallel Cloud-Based Workflows. - André Nascimento; Victor Olimpio; Vítor Silva 003; Aline Paes; Daniel de Oliveira 001 (IPDPS Workshops, 2019)

ArrOW: Experiencing a Parallel Cloud-Based De Novo Assembler Workflow. - Kary A. C. S. Ocaña; Thaylon Guedes; Daniel de Oliveira 001 (IPDPS Workshops, 2019)

A Science Gateway to Support Research in Spectral Graph Theory. - Daniel de Oliveira 001; Carlos Magno Abreu; Eduardo S. Ogasawara; Eduardo Bezerra 002; Leonardo Silva de Lima (SBBD, 2019)

Um Estudo Comparativo de Mecanismos de Privacidade Diferencial sobre um Dataset de Ocorrências do ZIKV no Brasil. - Daniel de Oliveira 001; 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 (SBBD, 2019)

Análise Integrada de Grafos de Proveniência Heterogêneos por meio de uma Abordagem PolyStore. - Yan Mendes; Victor Ströele; Daniel de Oliveira 001; Kary A. C. S. Ocaña (SBBD, 2019)

Análise de Hiperparâmetros em Aplicações de Aprendizado Profundo por meio de Dados de Proveniência. - Débora B. Pina; Liliane Neves; Aline Paes; Daniel de Oliveira 001; Marta Mattoso (SBBD, 2019)

Polyflow: A SOA for Analyzing Workflow Heterogeneous Provenance Data in Distributed Environments. - Yan Mendes; Regina Braga 001; Victor Ströele; Daniel de Oliveira 001 (SBSI, 2019)

A k-Skyband Approach for Feature Selection. - Marcos V. N. Bedo; Paolo Ciaccia; Davide Martinenghi; Daniel de Oliveira 001 (SISAP, 2019)

A provenance-based heuristic for preserving results confidentiality in cloud-based scientific workflows. - Marcos A. Guerine; Murilo B. Stockinger; Isabel Rosseti; Luidi Gelabert Simonetti; Kary A. C. S. Ocaña; Alexandre Plastino 001; Daniel de Oliveira 001 (Future Gener. Comput. Syst., 2019)

Data-Intensive Workflow Management: For Clouds and Data-Intensive and Scalable Computing Environments - Daniel C. M. de Oliveira; Ji Liu 003; Esther Pacitti (Data-Intensive Workflow Management, 2019)

Distributed Caching of Scientific Workflows in Multisite Cloud. - Gaëtan Heidsieck; Daniel de Oliveira 001; Esther Pacitti; Christophe Pradal; François Tardieu; Patrick Valduriez (DEXA (2), 2020)

SigniFYIng APIs in the context of polystore systems: a case study with BigDAWG. - Carlos Gracioli Neto; Luciana Salgado; Victor Ströele; Daniel de Oliveira 001 (IHC, 2020)

Towards Failure Prediction in Scientific Workflows Using Stochastic Petri Nets and Dynamic Logic. - Bruno Lopes 001; Daniel de Oliveira 001 (QUATIC, 2020)

Análise de Colaboração em Processos de Negócio por meio de SGBDs de Grafos e Dados de Proveniência Multimodais. - Maria Luiza Furtuozo Falci; Andréa Magalhães Magdaleno; Vanessa Braganholo; Aline Paes; Daniel de Oliveira 001 (SBBD, 2020)

Uma abordagem para coleta e análise de dados de configurações em redes neurais profundas. - Débora B. Pina; Liliane N. O. Kunstmann; Daniel de Oliveira 001; Patrick Valduriez; Marta Mattoso (SBBD, 2020)

Criteria for choosing the number of dimensions in a principal component analysis: An empirical assessment. - Renata Silva; Daniel Oliveira 001; Davi Pereira dos Santos; Lúcio F. D. Santos; Rodrigo Erthal Wilson; Marcos V. N. Bedo (SBBD, 2020)

Xi-DL: um Sistema de Gerência de Data Lake para Monitoramento de Dados da Saúde. - Lucas Tito; Cristina Motinha; Filipe Santiago; Kary A. C. S. Ocaña; Marcos V. N. Bedo; Daniel de Oliveira 001 (SBBD, 2020)

Some Branches May Bear Rotten Fruits: Diversity Browsing VP-Trees. - Daniel L. Jasbick; Lúcio F. D. Santos; Daniel de Oliveira 001; Marcos V. N. Bedo (SISAP, 2020)

A Classification of de Bruijn Graph Approaches for De Novo Fragment Assembly. - Elvismary Molina de Armas; Maristela Holanda; Daniel de Oliveira 001; Nalvo F. Almeida; Sérgio Lifschitz (BSB, 2020)

Experiencing DfAnalyzer for Runtime Analysis of Phylogenomic Dataflows. - Luiz Gustavo Dias; Marta Mattoso; Bruno Lopes 001; Daniel de Oliveira 001 (BSB, 2020)

Provenance-based fault tolerance technique recommendation for cloud-based scientific workflows: a practical approach. - Thaylon Guedes; Leonardo Araújo de Jesus; Kary A. C. S. Ocaña; Lúcia M. A. Drummond; Daniel de Oliveira 001 (Clust. Comput., 2020)

A superpixel-driven deep learning approach for the analysis of dermatological wounds. - Gustavo Blanco; Agma J. M. Traina; Caetano Traina Jr.; Paulo M. Azevedo-Marques; Ana Elisa Serafim Jorge; Daniel de Oliveira 001; Marcos V. N. Bedo (Comput. Methods Programs Biomed., 2020)

OLAP parallel query processing in clouds with C-ParGRES. - Marcello W. M. Ribeiro; Alexandre A. B. Lima; Daniel de Oliveira 001 (Concurr. Comput. Pract. Exp., 2020)

Capturing and Analyzing Provenance from Spark-based Scientific Workflows with SAMbA-RaP. - Thaylon Guedes; Lucas Bertelli Martins; Maria Luiza Furtuozo Falci; Vítor Silva 003; Kary A. C. S. Ocaña; Marta Mattoso; Marcos V. N. Bedo; Daniel de Oliveira 001 (Future Gener. Comput. Syst., 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 001; Antônio Tadeu A. Gomes; Daniel de Oliveira 001; Ana Tereza Ribeiro de Vasconcelos (Future Gener. Comput. Syst., 2020)

Adding domain data to code profiling tools to debug workflow parallel execution. - Vítor Silva 003; Leonardo Neves; Renan Souza 001; Alvaro L. G. A. Coutinho; Daniel de Oliveira 001; Marta Mattoso (Future Gener. Comput. Syst., 2020)

Polyflow: a Polystore-compliant Mechanism to Provide Interoperability to Heterogeneous Provenance Graphs. - Yan Mendes; Daniel de Oliveira 001; Victor Ströele (J. Inf. Data Manag., 2020)

DfAnalyzer: Runtime dataflow analysis tool for Computational Science and Engineering applications. - Vítor Silva 003; Vinícius Campos; Thaylon Guedes; José J. Camata; Daniel de Oliveira 001; Alvaro L. G. A. Coutinho; Patrick Valduriez; Marta Mattoso (SoftwareX, 2020)

Efficient Execution of Scientific Workflows in the Cloud Through Adaptive Caching. - Gaëtan Heidsieck; Daniel de Oliveira 001; Esther Pacitti; Christophe Pradal; François Tardieu; Patrick Valduriez (Trans. Large Scale Data Knowl. Centered Syst., 2020)

Provenance Supporting Hyperparameter Analysis in Deep Neural Networks. - Débora B. Pina; Liliane N. O. Kunstmann; Daniel de Oliveira 001; Patrick Valduriez; Marta Mattoso (IPAW, 2021)

HELIX: A data-driven characterization of Brazilian land snails. - Marcelo N. Almeida; Rodolfo Alves de Oliveira; Luiz Olmes Carvalho; Gustavo Silva Semaan; Daniel de Oliveira 001; Lúcio F. D. Santos; Marcos V. N. Bedo (SBBD, 2021)

Um Estudo Sobre o Uso de Abordagens de Gerência de Dados em Sistemas de Análise Visual de Dados Espaço-Temporais. - Lorenna Christ'na Nascimento; Marcos Lage; Daniel de Oliveira 001 (SBBD, 2021)

An incremental reinforcement learning scheduling strategy for data-intensive scientific workflows in the cloud. - André Nascimento; Vítor Silva 003; Aline Paes; Daniel de Oliveira 001 (Concurr. Comput. Pract. Exp., 2021)

Towards optimizing the execution of spark scientific workflows using machine learning-based parameter tuning. - Douglas E. M. de Oliveira; Fábio Porto 001; Cristina Boeres; Daniel de Oliveira 001 (Concurr. Comput. Pract. Exp., 2021)

Cache-aware scheduling of scientific workflows in a multisite cloud. - Gaëtan Heidsieck; Daniel de Oliveira 001; Esther Pacitti; Christophe Pradal; François Tardieu; Patrick Valduriez (Future Gener. Comput. Syst., 2021)

Multimodal Provenance-based Analysis of Collaboration in Business Processes. - Maria Luiza Furtuozo Falci; Andréa Magalhães Magdaleno; Aline Paes; Vanessa Braganholo; Daniel de Oliveira 001 (J. Inf. Data Manag., 2021)

Frontmatter. - Maristela Terto de Holanda; Daniel Cardoso Moraes de Oliveira; Thales Sehn Körting (J. Inf. Data Manag., 2021)

Editorial. - Maristela Terto de Holanda; Daniel Cardoso Moraes de Oliveira; Thales Sehn Körting (J. Inf. Data Manag., 2021)

Frontmatter. - Maristela Terto de Holanda; Daniel Cardoso Moraes de Oliveira; Ronaldo dos Santos Mello (J. Inf. Data Manag., 2021)

Editorial. - Maristela Terto de Holanda; Daniel Cardoso Moraes de Oliveira; Ronaldo dos Santos Mello (J. Inf. Data Manag., 2021)

Frontmatter. - Maristela Terto de Holanda; Daniel Cardoso Moraes de Oliveira; Moacir Antonelli Ponti (J. Inf. Data Manag., 2021)

Editorial. - Maristela Terto de Holanda; Daniel Cardoso Moraes de Oliveira; Moacir Antonelli Ponti (J. Inf. Data Manag., 2021)

Frontmatter. - Maristela Terto de Holanda; Daniel Cardoso Moraes de Oliveira; Fábio Porto 001 (J. Inf. Data Manag., 2021)

Editorial. - Maristela Terto de Holanda; Daniel Cardoso Moraes de Oliveira; Fábio Porto 001 (J. Inf. Data Manag., 2021)

Frontmatter. - Maristela Terto de Holanda; Daniel Cardoso Moraes de Oliveira; Ricardo da Silva Torres (J. Inf. Data Manag., 2021)

Online Deep Learning Hyperparameter Tuning based on Provenance Analysis. - Liliane N. O. Kunstmann; Débora B. Pina; Filipe Silva; Aline Paes; Patrick Valduriez; Daniel de Oliveira 001; Marta Mattoso (J. Inf. Data Manag., 2021)

An empirical assessment of quality metrics for diversified similarity searching. - Camila R. Lopes; Lúcio F. D. Santos; Daniel L. Jasbick; Daniel de Oliveira 001; Marcos V. N. Bedo (J. Inf. Data Manag., 2021)

J-EDA: A workbench for tuning similarity and diversity search parameters in content-based image retrieval. - João V. O. Novaes; Lúcio F. D. Santos; Luiz Olmes Carvalho; Daniel de Oliveira 001; Marcos V. N. Bedo; Agma J. M. Traina; Caetano Traina Jr. (J. Inf. Data Manag., 2021)

Managing Hypothesis of Scientific Experiments with PhenoManager. - Leonardo S. Ramos; Fábio Porto 001; Daniel de Oliveira 001 (J. Inf. Data Manag., 2021)

BioProv - A provenance library for bioinformatics workflows. - Vinícius Salazar; João Cavalcante; Daniel de Oliveira 001; Fabiano L. Thompson; Marta Mattoso (J. Open Source Softw., 2021)

Provenance-and machine learning-based recommendation of parameter values in scientific workflows. - Daniel Silva Junior; Esther Pacitti; Aline Paes; Daniel de Oliveira 001 (PeerJ Comput. Sci., 2021)

Distributed in-memory data management for workflow executions. - Renan Souza 001; Vítor Silva 003; Alexandre A. B. Lima; Daniel de Oliveira 001; Patrick Valduriez; Marta Mattoso (PeerJ Comput. Sci., 2021)

vinisalazar/BioProv: Release v0.1.24. - Vinícius Salazar; João Vitor Ferreira Cavalcante; Daniel de Oliveira 001; Fabiano L. Thompson; Marta Mattoso (Zenodo, 2021)

Modelagem de Tópicos em Textos Curtos: uma Avaliação Experimental. - Annie Amorim; Nils Murrugarra-Llerena; Vítor Silva 003; Daniel de Oliveira 001; Aline Paes (SBBD, 2022)

Adoção de SGBDs NoSQL em Empresas Brasileiras: um Levantamento Preliminar. - Nicolas Atmatzides; Marcos V. N. Bedo; Daniel de Oliveira 001 (SBBD, 2022)

HURRICANE: um Serviço para Gerência de Dados de Aplicações de Cidades Inteligentes. - Maicon Banni; Isabel Rosseti; Daniel de Oliveira 001 (SBBD, 2022)

Privacidade Diferencial em Sistemas Polystore: uma Abordagem Prática. - Lucas Bertelli; Victor Ströele; Javam C. Machado; Daniel de Oliveira 001 (SBBD, 2022)

Otimização de Dataflows em Frameworks de Big Data por meio do Reúso de Dados. - Gustavo Decarlo; Daniel de Oliveira 001; Fábio Porto 001 (SBBD, 2022)

ORBITER: um Arcabouço para Implantação Automática de Aplicações Big Data em Arquiteturas Serverless. - João Loureiro; Daniel de Oliveira 001 (SBBD, 2022)

Dados de proveniência para redes neurais guiadas pela Física: o caso da equação eikonal. - Lyncoln S. de Oliveira; Rômulo M. Silva; Liliane N. O. Kunstmann; Débora B. Pina; Daniel de Oliveira 001; Alvaro L. G. A. Coutinho; Marta Mattoso (SBBD, 2022)

A Provenance-based Execution Strategy for Variant GPU-accelerated Scientific Workflows in Clouds. - Murilo B. Stockinger; Marcos A. Guerine; Ubiratam de Paula Junior; Filipe Santiago; Yuri Frota; Isabel Rosseti; Alexandre Plastino 001; Daniel de Oliveira 001 (J. Grid Comput., 2022)

Editorial. - Maristela Holanda; Daniel de Oliveira 001 (J. Inf. Data Manag., 2022)

Beyond Click-and-View: a Comparative Study of Data Management Approaches for Interactive Visualization. - Lorenna Christ'na Nascimento; Rodolfo P. Chagas; Marcos Lage; Daniel de Oliveira 001 (J. Inf. Data Manag., 2022)

PolRoute-DS: a Crime Dataset for Optimization-based Police Patrol Routing. - Bruno Cunha Sá; Gustavo Muller; Maicon Banni; Wagner Santos; Marcos Lage; Isabel Rosseti; Yuri Frota; Daniel de Oliveira 001 (J. Inf. Data Manag., 2022)

Capturing Provenance from Deep Learning Applications Using Keras-Prov and Colab: a Practical Approach. - Débora B. Pina; Liliane N. O. Kunstmann; Felipe Bevilaqua; Isabela Siqueira; Alan De Oliveira Lyra; Daniel de Oliveira 001; Marta Mattoso (J. Inf. Data Manag., 2022)

Provenance-Based Dynamic Fine-Tuning of Cross-Silo Federated Learning. - Camila R. Lopes; Alan L. Nunes; Cristina Boeres; Lúcia M. A. Drummond; Daniel de Oliveira 001 (CARLA, 2023)

NewsCollab: Fostering Data-driven Journalism with Crowdsourcing. - Ygor Rolim; Danielly Alves; Flávia Clemente; Daniel de Oliveira 001 (CSCWD, 2023)

Adding Result Diversification to kNN-Based Joins in a Map-Reduce Framework. - Vinícius Souza; Luiz Olmes Carvalho; Daniel de Oliveira 001; Marcos V. N. Bedo; Lúcio F. D. Santos (DEXA (1), 2023)

PINNProv: Provenance for Physics-Informed Neural Networks. - Lyncoln S. de Oliveira; Liliane N. O. Kunstmann; Débora B. Pina; Daniel de Oliveira 001; Marta Mattoso (SBAC-PADW, 2023)

MAESTRO: Uma Abordagem para a Composição e Análise de Workflows Baseados em Scripts por Meio de Ontologias. - Luiz Gustavo Dias; Bruno Lopes 001; Daniel de Oliveira 001 (SBBD, 2023)

Uso de Grafos de Proveniência para Análise Temporal de Uso do Solo em Centros Urbanos: uma Abordagem Prática. - Raffael M. Paranhos; Marcos Lage; Daniel de Oliveira 001 (SBBD, 2023)

Visual Analytics Using Heterogeneous Urban Data. - Sandro Bonadia; Rogério Gama; Daniel de Oliveira 001; Fabio Miranda 001; Marcos Lage (SIBGRAPI, 2023)

Deep Learning Provenance Data Integration: a Practical Approach. - Débora B. Pina; Adriane Chapman; Daniel de Oliveira 001; Marta Mattoso (WWW (Companion Volume), 2023)

Optimizing computational costs of Spark for SARS-CoV-2 sequences comparisons on a commercial cloud. - Alan L. Nunes; Alba C. M. A. Melo; Claude Tadonki; Cristina Boeres; Daniel de Oliveira 001; Lúcia Maria de Assumpção Drummond (Concurr. Comput. Pract. Exp., 2023)

Datasets for Portuguese Legal Semantic Textual Similarity: Comparing weak supervision and an annotation process approaches. - Daniel da Silva Junior; Paulo Roberto dos S. Corval; Aline Paes; Daniel de Oliveira 001 (CoRR, 2023)

ProWis: A Visual Approach for Building, Managing, and Analyzing Weather Simulation Ensembles at Runtime. - Carolina Veiga Ferreira de Souza; Suzanna Maria Bonnet; Daniel de Oliveira 001; Márcio Cataldi; Fabio Miranda 001; Marcos Lage (CoRR, 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 001; Esther Pacitti; Fábio Porto 001; Christophe Pradal; Dennis E. Shasha; Patrick Valduriez (Trans. Large Scale Data Knowl. Centered Syst., 2023)

Pushing diversity into higher dimensions: The LID effect on diversified similarity searching. - Daniel L. Jasbick; Lúcio F. D. Santos; Paulo M. Azevedo-Marques; Agma J. M. Traina; Daniel de Oliveira 001; Marcos V. N. Bedo (Inf. Syst., 2023)

Hurricane: a Dataflow-oriented Data Service for Smart Cities Applications. - Maicon Banni; Maria Luiza Furtuozo Falci; Isabel Rosseti; Daniel de Oliveira 001 (J. Inf. Data Manag., 2023)

AIS-based maritime anomaly traffic detection: A review. - Claudio V. Ribeiro; Aline Paes; Daniel de Oliveira 001 (Expert Syst. Appl., 2023)

Aggregating embeddings from image and radiology reports for multimodal Chest-CT retrieval. - João Silva-Leite; Cristina A. P. Fontes; Alair S. Santos; Diogo G. Correa; Marcel Koenigkam-Santos; Paulo M. Azevedo-Marques; Daniel de Oliveira 001; Aline Paes; Marcos V. N. Bedo (CBMS, 2024)

DLProv: A Data-Centric Support for Deep Learning Workflow Analyses. - Débora B. Pina; Adriane Chapman; Liliane N. O. Kunstmann; Daniel de Oliveira 001; Marta Mattoso (DEEM@SIGMOD, 2024)

Enriching Hierarchical Navigable Small World Searches with Result Diversification. - Mauro Weber; João Silva-Leite; Lúcio F. D. Santos; Daniel de Oliveira 001; Marcos V. N. Bedo (DEXA (1), 2024)

APOENA: Towards a Cloud Dimensioning Approach for Executing SQL-like Workloads Using Machine Learning and Provenance. - Raslan Ribeiro; Rafaelli Coutinho; Daniel de Oliveira 001 (ICEIS (1), 2024)

From Tracking Lineage to Enhancing Data Quality and Auditing: Adding Provenance Support to Data Warehouses with ProvETL. - Matheus Vieira; Thiago de Oliveira; Leandro Cicco; Daniel de Oliveira 001; Marcos V. N. Bedo (ICEIS (1), 2024)

Exploring Portuguese Hate Speech Detection in Low-Resource Settings: Lightly Tuning Encoder Models or In-Context Learning of Large Models? - Gabriel Assis; Annie Amorim; Jonnatahn Carvalho; Daniel de Oliveira 001; Daniela Q. C. Vianna; Aline Paes (PROPOR (1), 2024)

SPARQL can also talk in Portuguese: answering natural language questions with knowledge graphs. - Elbe Miranda; Aline Paes; Daniel de Oliveira 001 (PROPOR (1), 2024)

Otimização de Parâmetros em Aplicações de Big Data Baseadas em Múltiplos Frameworks. - Bruna de Mello Almeida; Yuri Frota; Daniel de Oliveira 001 (SBBD, 2024)

AkôFlow: um Middleware para Execução de Workflows Científicos em Múltiplos Ambientes Conteinerizados. - Wesley Ferreira; Liliane N. O. Kunstmann; Aline Paes; Marcos Bedo; Daniel de Oliveira 001 (SBBD, 2024)

Scientific Workflow Deployment: Container Provenance in High-Performance Computing. - Liliane N. O. Kunstmann; Débora B. Pina; Daniel de Oliveira 001; Marta Mattoso (SBBD, 2024)

Uma Heurística para a Execução de Workflows com Restrições de Confidencialidade em Ambientes Conteinerizados. - Rodrigo A. P. Silva; Wesley Ferreira; Esther Pacitti; Yuri Frota; Daniel de Oliveira 001 (SBBD, 2024)

Adicionando suporte à diversificação de resultados em índices HNSW considerando espaços de baixa e alta dimensionalidade. - Mauro Weber; João Silva-Leite; Lúcio F. D. Santos; Daniel de Oliveira 001; Marcos Bedo (SBBD, 2024)

ProvDeploy: Provenance-oriented Containerization of High Performance Computing Scientific Workflows. - Liliane N. O. Kunstmann; Débora B. Pina; Daniel de Oliveira 001; Marta Mattoso (CoRR, 2024)

Urban Computing for Climate and Environmental Justice: Early Perspectives From Two Research Initiatives. - Carolina Veiga Ferreira de Souza; Ashish Sharma; Daniel de Oliveira 001; Marcos Lage; Fabio Miranda 001 (CoRR, 2024)

Workflows Community Summit 2024: Future Trends and Challenges in Scientific Workflows. - Rafael Ferreira da Silva; Deborah Bard; Kyle Chard; Shaun De Witt; Ian T. Foster; Tom Gibbs; Carole A. Goble; William F. Godoy; Johan Gustafsson 001; Utz-Uwe Haus; Stephen Hudson; Shantenu Jha; et al. (CoRR, 2024)

Explorando Técnicas de Aprendizado em Modelos de Linguagem para Classificação de Discurso de Ódio e Ofensivo em Português. - Gabriel Assis; Annie Amorim; Jonnathan Carvalho; Mariza Ferro; Daniel de Oliveira 001; Daniela Vianna 001; Aline Paes (Linguamática, 2024)

Version [1.0]- [SAMbA-RaP is music to scientists' ears: Adding provenance support to spark-based scientific workflows]. - Thaylon Guedes; Marta Mattoso; Marcos V. N. Bedo; Daniel de Oliveira 001 (SoftwareX, 2024)

PW: A Visual Approach for Building, Managing, and Analyzing Weather Simulation Ensembles at Runtime. - Carolina Veiga Ferreira de Souza; Suzanna Maria Bonnet; Daniel de Oliveira 001; Márcio Cataldi; Fabio Miranda 001; Marcos Lage (IEEE Trans. Vis. Comput. Graph., 2024)

MAESTRO: a lightweight ontology-based framework for composing and analyzing script-based scientific experiments. - Luiz Gustavo Dias; Bruno Lopes 001; Daniel de Oliveira 001 (Knowl. Inf. Syst., 2024)

Warehousing Data for Brand Health and Reputation with AI-Driven Scores in NewSQL Architectures: Opportunities and Challenges. - Paulo R. Siqueira; Rodrigo A. C. Dias; João Silva-Leite; Paulo Mann; Rodrigo Salvador Monteiro; Daniel de Oliveira 001; Marcos Bedo (ICEIS (1), 2025)

Scalable Reputation Management: A Multi-Task Prompting Approach Using Fine-Tuned PLMs for Sentiment and Topic Classification. - 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 001; Paulo Mann; Marcos Bedo (ICWSM, 2025)

Language Flavors in the Lusophone World: A BERT-Based Social Media Study of Portuguese in Brazil, Portugal, and Mozambique. - Annie Amorim; Gabriel Assis; Laura Ribeiro; Daniel de Oliveira 001; Aline Paes (SAC, 2025)

PATSA-BIL: Pipeline for automated texture and structure analysis of borehole image logs. - 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; et al. (Expert Syst. Appl., 2025)

DLProv: a suite of provenance services for deep learning workflow analyses. - Débora B. Pina; Liliane N. O. Kunstmann; Adriane Chapman; Daniel de Oliveira 001; Marta Mattoso (PeerJ Comput. Sci., 2025)

Breadcrumbs for your Deep Learning Model: Following Provenance Traces with DLProv. - Débora B. Pina; Liliane N. O. Kunstmann; Daniel de Oliveira 001; Marta Mattoso (Softw. Impacts, 2025)

Curio: A Dataflow-Based Framework for Collaborative Urban Visual Analytics. - Gustavo Moreira; Maryam Hosseini; Carolina Veiga Ferreira de Souza; Lucas Alexandre; Nicola Colaninno; Daniel de Oliveira 001; Nivan Ferreira; Marcos Lage; Fabio Miranda 001 (IEEE Trans. Vis. Comput. Graph., 2025)

Optimizing Resource Estimation for Scientific Workflows in HPC Environments: A Layered-Bucket Heuristic Approach. - Luis C. R. Alvarenga; Yuri Frota; Daniel de Oliveira 001; Rafaelli Coutinho (Concurr. Comput. Pract. Exp., 2025)