Publications
Selected Papers
Have We Seen these Data Before? A GRASP-based Execution Strategy for Cloud-based Workflows with Memoization.
Rodrigo A. P. Silva, Gaëtan Heisieck, Esther Pacitti, Patrick Valduriez, Yuri Frota, Daniel de Oliveira
Concurrency and Computation: Practice and Experience, 2026
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A Greedy Constructive Heuristic for Executing Cloud-Based Workflows with Data Confidentiality Restrictions.
Rodrigo A. P. Silva, Wesley Ferreira, Esther Pacitti, Yuri Frota, Daniel de Oliveira
SN Computer Science, 2026
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Federated Outlier Detection for Astronomical Data: Performance Analysis on Commercial Clouds.
Camila Lopes, Wesley Ferreira, Rafael Ferreira da Silva, Julia Gschwend, Luiz Nicolaci, Marta Mattoso, Aline Paes, Daniel de Oliveira
XXVI Brazilian Symposium on High Performance Computing Systems, 2025
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A Weighted Bi-objective Strategy for Executing Scientific Workflows in Containerized Environments.
Wesley Ferreira, Liliane Kunstmann, Yuri Frota, Luan Teylo, Daniel de Oliveira
XXVI Brazilian Symposium on High Performance Computing Systems, 2025
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Exploring Language Model Fusion to Improve Generalization in Portuguese Hate Speech Detection
Annie Amorim, Gabriel Assis, Daniel de Oliveira, Aline Paes
28th International Conference on Information Fusion (FUSION), 2025
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Provenance-based Data Analysis in Block-based Programming for Application Development
Naira Arruda, Simone Martins, Daniel de Oliveira
Informatics In Education (Accepted), 2025
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DLProv: a suite of provenance services for deep learning workflow analyses
Débora B. Pina, Liliane N. O. Kunstmann, Adriane Chapman, Daniel de Oliveira, Marta Mattoso
PeerJ Computer Science, 2025
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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 S. Monteiro, Flavia C. Bernardini, Leandro A.F. Fernandes, Elaine P.M. de Sousa, Daniel de Oliveira, Marcos Bedo
Expert Systems with Applications, 2025
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Curio: A Dataflow-Based Framework for Collaborative Urban Visual Analytics
Gustavo Moreira, Maryam Hosseini, Carolina V. F. de Souza, Lucas Alexandre, Nicola Colaninno, Daniel de Oliveira, Nivan Ferreira, Marcos Lage, Fabio Miranda
IEEE Transactions on Visualization and Computer Graphics, 2025
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Optimizing Resource Estimation for Scientific Workflows in HPC Environments: A Layered-Bucket Heuristic Approach
Luis Alvarenga, Yuri Frota, Daniel de Oliveira, Rafaelli Coutinho
Concurrency and Computation: Practice and Experience, 2025
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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, Aline Paes
40th ACM/SIGAPP Symposium on Applied Computing, 2025
🏅 Best Paper Award
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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 S. Monteiro, Rodrigo Dias, Daniel de Oliveira, Paulo Mann, Marcos Bedo
International AAAI Conference on Web and Social Media, 2025
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Towards Enabling the Analysis of Visual Exploration Processes through Interaction Provenance
Lyncoln S. de Oliveira, Gustavo Moreira, Fabio Miranda, Marcos Lage, Daniel de Oliveira
Brazilian Symposium on Databases, 2025
🏅 Best Paper Nominee
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MAESTRO: a lightweight ontology-based framework for composing and analyzing script-based scientific experiments
Luiz Gustavo Dias, Bruno Lopes, Daniel de Oliveira
Knowledge and Information Systems, 2024
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Scientific Workflow Deployment: Container Provenance in High-Performance Computing
Liliane Kunstmann, Debora Pina, Daniel de Oliveira, Marta Mattoso
Brazilian Symposium on Databases, 2024
🏅 Best Paper Award - José Mauro Castilho Prize
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DLProv: A Data-Centric Support for Deep Learning Workflow Analyses
Debora Pina, Adriane Chapman, Liliane Kunstmann, Daniel de Oliveira, Marta Mattoso
Data Management for End-to-End Machine Learning Workshop (in conjunction with SIGMOD/PODS), 2024
🏅 Best Paper Award
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Aggregating embeddings from image and radiology reports for multimodal Chest-CT retrieval
João Leite, Cristina Fontes, Alair Santos, Diogo Gomes, Paulo M. Azevedo-Marques, Daniel de Oliveira, Aline Paes, Marcos Bedo
IEEE International Symposium on Computer-Based Medical Systems (IEEE CBMS), 2024
🏅 Best Paper Award
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PROWIS: A visual approach for building, managing, and analyzing weather simulation ensembles in runtime
Carolina Souza, Suzanna Bonnet, Daniel de Oliveira, Marcio Cataldi, Fabio Miranda, Marcos Lage
IEEE Transactions on Visualization and Computer Graphics, 2024
🏅 Best Paper Honorable Mention
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AkôFlow: um Middleware para Execução de Workflows Científicos em Múltiplos Ambientes Conteinerizados
Wesley Ferreira, Liliane Kunstmann, Aline Paes, Marcos Bedo, Daniel de Oliveira
Brazilian Symposium on Databases, 2024
🏅 Best Paper Nominee
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SAMbA-RaP is music to scientists' ears: Adding provenance support to spark-based scientific workflows
Thaylon Guedes, Marta Mattoso, Marcos Bedo, Daniel de Oliveira
SoftwareX, 2024
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Provenance-based Dynamic Fine-Tuning of Cross-Silo Federated Learning
Camila Lopes, Alan Nunes, Cristina Boeres, Lucia Drummond, Daniel de Oliveira
Latin America High Performance Computing Conference (CARLA), 2023
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AIS-based maritime anomaly traffic detection
Claudio Ribeiro, Alines Paes, Daniel de Oliveira
Expert Systems with Applications, 2023
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Defining Routes for Emergency Response from Climate Events: a Data-oriented Approach
Felipe Oliveira, Yuri Frota, Daniel de Oliveira
IEEE Latin America Transactions, 2023
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Distributed Caching of Scientific Workflows in Multisite Cloud
Gaëtan Heisieck, Daniel de Oliveira, Christophe Pradal, Francois Tardieu, Esther Pacitti, Patrick Valduriez
International Conference on Database and Expert Systems Applications (DEXA), 2020
🏅 Gabriela & Roland Wagner Best Paper Award
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Provenance Analytics for Workflow-Based Computational Experiments
Wellington Oliveira, Daniel de Oliveira, Vanessa Braganholo
ACM Computing Surveys, 2018
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SciCumulus: A Lightweight Cloud Middleware to Explore Many Task Computing Paradigm in Scientific Workflows
Daniel de Oliveira, Eduardo Ogasawara, Fernanda Baião, Marta Mattoso
IEEE International Conference in Cloud Computing, 2010
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For a real-time updated list of publications, please visit my DBLP profile. This page here is updated less frequently :)
2025
- 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)
- 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)
- Débora B. Pina, Liliane N. O. Kunstmann, Adriane Chapman, Daniel de Oliveira, Marta Mattoso: DLProv: a suite of provenance services for deep learning workflow analyses. PeerJ Comput. Sci. 11: e2985 (2025)
- 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)
- 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)
- 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
- 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
- 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
- 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)
- 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)
- Thaylon Guedes, Marta Mattoso, Marcos V. N. Bedo, Daniel de Oliveira: SAMbA-RaP is music to scientists' ears: Adding provenance support to spark-based scientific workflows. SoftwareX 28: 101927 (2024)
- Carolina Veiga Ferreira de Souza, Suzanna Maria Bonnet, Daniel de Oliveira, Márcio Cataldi, Fabio Miranda, Marcos Lage: PW: A Visual Approach for Building, Managing, and Analyzing Weather Simulation Ensembles at Runtime. IEEE Trans. Vis. Comput. Graph. 30(1): 738-747 (2024)
- João Silva-Leite, Cristina A. P. Fontes, Alair S. Santos, Diogo G. Correa, Marcel Koenigkam-Santos, Paulo M. Azevedo-Marques, Daniel de Oliveira, Aline Paes, Marcos V. N. Bedo: Aggregating embeddings from image and radiology reports for multimodal Chest-CT retrieval. CBMS 2024: 309-314
- 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
- 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
- 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
- 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
- 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
- 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
- Mauro Weber, João Silva-Leite, Lúcio F. D. Santos, Daniel de Oliveira, Marcos Bedo: Adicionando suporte à diversificação de resultados em índices HNSW considerando espaços de baixa e alta dimensionalidade. SBBD 2024: 14-26
- Wesley Ferreira, Liliane N. O. Kunstmann, Aline Paes, Marcos Bedo, Daniel de Oliveira: AkôFlow: um Middleware para Execução de Workflows Científicos em Múltiplos Ambientes Conteinerizados. SBBD 2024: 27-39
- Bruna de Mello Almeida, Yuri Frota, Daniel de Oliveira: Otimização de Parâmetros em Aplicações de Big Data Baseadas em Múltiplos Frameworks. SBBD 2024: 418-430
- Liliane N. O. Kunstmann, Débora B. Pina, Daniel de Oliveira, Marta Mattoso: Scientific Workflow Deployment: Container Provenance in High-Performance Computing. SBBD 2024: 457-470
- Rodrigo A. P. Silva, Wesley Ferreira, Esther Pacitti, Yuri Frota, Daniel de Oliveira: Uma Heurística para a Execução de Workflows com Restrições de Confidencialidade em Ambientes Conteinerizados. SBBD 2024: 536-548
- 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)
- 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)
- 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)
- Rafael Ferreira da Silva et al., Daniel de Oliveira: Workflows Community Summit 2024: Future Trends and Challenges in Scientific Workflows. CoRR abs/2410.14943 (2024)
2023
- Alan L. Nunes, Alba C. M. A. Melo, Claude Tadonki, Cristina Boeres, Daniel de Oliveira, Lúcia Maria de Assumpção Drummond: Optimizing computational costs of Spark for SARS-CoV-2 sequences comparisons on a commercial cloud. Concurr. Comput. Pract. Exp. 35(18) (2023)
- Claudio V. Ribeiro, Aline Paes, Daniel de Oliveira: AIS-based maritime anomaly traffic detection: A review. Expert Syst. Appl. 231: 120561 (2023)
- Daniel L. Jasbick, Lúcio F. D. Santos, Paulo M. Azevedo-Marques, Agma J. M. Traina, Daniel de Oliveira, Marcos V. N. Bedo: Pushing diversity into higher dimensions: The LID effect on diversified similarity searching. Inf. Syst. 114: 102166 (2023)
- 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)
- 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)
- 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
- Ygor Rolim, Danielly Alves, Flávia Clemente, Daniel de Oliveira: NewsCollab: Fostering Data-driven Journalism with Crowdsourcing. CSCWD 2023: 1008-1013
- 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
- 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
- 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
- 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
- Sandro Bonadia, Rogério Gama, Daniel de Oliveira, Fabio Miranda, Marcos Lage: Visual Analytics Using Heterogeneous Urban Data. SIBGRAPI 2023: 25-30
- Débora B. Pina, Adriane Chapman, Daniel de Oliveira, Marta Mattoso: Deep Learning Provenance Data Integration: a Practical Approach. WWW (Companion Volume) 2023: 1542-1550
- 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)
- 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)