| DLProv: A Data-Centric Support for Deep Learning Workflow Analyses D Pina, A Chapman, L Kunstmann, D de Oliveira, M Mattoso Proceedings of the Eighth Workshop on Data Management for End-to-End Machine …, 2024 | | 2024 |
| ProvDeploy: Provenance-oriented Containerization of High Performance Computing Scientific Workflows L Kunstmann, D Pina, D de Oliveira, M Mattoso arXiv preprint arXiv:2403.15324, 2024 | | 2024 |
| ProvLight: Efficient workflow provenance capture on the edge-to-cloud continuum D Rosendo, M Mattoso, A Costan, R Souza, D Pina, P Valduriez, ... 2023 IEEE International Conference on Cluster Computing (CLUSTER), 221-233, 2023 | 3 | 2023 |
| PINNProv: Provenance for Physics-Informed Neural Networks LS de Oliveira, L Kunstmann, D Pina, D de Oliveira, M Mattoso 2023 International Symposium on Computer Architecture and High Performance …, 2023 | | 2023 |
| Life Science Workflow Services (LifeSWS): Motivations and Architecture R Akbarinia, C Botella, A Joly, F Masseglia, M Mattoso, E Ogasawara, ... Transactions on Large-Scale Data-and Knowledge-Centered Systems LV, 1-24, 2023 | | 2023 |
| Integrador de metadados modular para aprendizado de máquina com visualização em tempo de execução F Silva, M Mattoso Anais do XXXVIII Simpósio Brasileiro de Bancos de Dados, 445-450, 2023 | | 2023 |
| Deep learning provenance data integration: a practical approach D Pina, A Chapman, D De Oliveira, M Mattoso Companion Proceedings of the ACM Web Conference 2023, 1542-1550, 2023 | 6 | 2023 |
| Data Aggregator for Physics Informed Neural Networks in NVIDIA Modulus Framework M Scramignon, ALGA Coutinho, M Mattoso XLIV Ibero-Latin American Congress on Computational Methods in Engineering 5 …, 2023 | | 2023 |
| Capturing provenance from deep learning applications using Keras-Prov and Colab: a practical approach D Pina, L Kunstmann, F Bevilaqua, I Siqueira, A Lyra, D de Oliveira, ... Journal of Information and Data Management 13 (5), 2022 | 1 | 2022 |
| ProvDeploy: Explorando Alternativas de Conteinerização com Proveniência para Aplicações Científicas com PAD L Kunstmann, D Pina, LS de Oliveira, D de Oliveira, M Mattoso Anais do XXIII Simpósio em Sistemas Computacionais de Alto Desempenho, 49-60, 2022 | | 2022 |
| Dados de proveniencia para redes neurais guiadas pela fisica: o caso da equacao eikonal LS de Oliveira, RM Silva, L Kunstmann, D Pina, D de Oliveira, ... Anais do XXXVII Simpósio Brasileiro de Bancos de Dados, 373-378, 2022 | 2 | 2022 |
| Latency and energy-awareness in data stream processing for edge based iot systems E Oliveira, AR Rocha, M Mattoso, FC Delicato Journal of Grid Computing 20 (3), 27, 2022 | 9 | 2022 |
| Workflow provenance in the lifecycle of scientific machine learning R Souza, LG Azevedo, V Lourenço, E Soares, R Thiago, R Brandão, ... Concurrency and Computation: Practice and Experience 34 (14), e6544, 2022 | 29 | 2022 |
| A horizontal partitioning‐based method for frequent pattern mining in transport timetable C Teixeira, L Fragoso, M Mattoso, D Carvalho, E Bezerra, J Soares, ... Expert Systems 39 (2), e12881, 2022 | | 2022 |
| Online Deep Learning Hyperparameter Tuning based on Provenance Analysis L Kunstmann, D Pina, F Silva, A Paes, P Valduriez, D de Oliveira, ... Journal of Information and Data Management 12 (5), 2021 | 1 | 2021 |
| Capturing provenance to improve the model training of pinns: first hand-on experiences with grid5000 RM Silva, D Pina, L Kunstmann, D de Oliveira, P Valduriez, A Coutinho, ... 42nd CILAMCE, 1-7, 2021 | 6 | 2021 |
| BioProv-A provenance library for bioinformatics workflows VW Salazar, JVF Cavalcante, D de Oliveira, F Thompson, M Mattoso Journal of Open Source Software 6 (67), 3622, 2021 | 3 | 2021 |
| User Steering Support in Large-scale Workflows R Souza, M Mattoso, P Valduriez Anais Estendidos do XXXVI Simpósio Brasileiro de Bancos de Dados, 195-200, 2021 | | 2021 |
| Captura automática de dados de proveniência de experimentos de aprendizado de máquina com keras-prov D Pina, L Neves, D de Oliveira, M Mattoso Simpósio Brasileiro de Banco de Dados (SBBD), 69-74, 2021 | 2 | 2021 |
| Painel de Proveniência: análise durante o treinamento de Redes Neurais Profundas F Silva, D Pina, L Kunstmann, M Mattoso Anais Estendidos do XXXVI Simpósio Brasileiro de Bancos de Dados, 22-28, 2021 | | 2021 |
Daniel de OliveiraAssociate Professor at Universidade Federal Fluminense (UFF)在 ic.uff.br 的电子邮件经过验证
