| Provenance data in the machine learning lifecycle in computational science and engineering R Souza, L Azevedo, V Lourenço, E Soares, R Thiago, R Brandão, ... 2019 IEEE/ACM Workflows in Support of Large-Scale Science (WORKS), 1-10, 2019 | 62 | 2019 |
| Extending hypermedia conceptual models to support hyperknowledge specifications MF Moreno, R Brandao, R Cerqueira International Journal of Semantic Computing 11 (01), 43-64, 2017 | 50 | 2017 |
| 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 | 41 | 2022 |
| Efficient runtime capture of multiworkflow data using provenance R Souza, L Azevedo, R Thiago, E Soares, M Nery, MAS Netto, E Vital, ... 2019 15th International Conference on eScience (eScience), 359-368, 2019 | 32 | 2019 |
| A Flexible Framework for Applying Data Access Authorization Business Rules. LG Azevedo, S Puntar, R Thiago, FA Baião, C Cappelli ICEIS (1), 275-280, 2010 | 17 | 2010 |
| Analysis of Tools for REST Contract Specification in Swagger/OpenAPI. JS Dos Santos, LG Azevedo, EFS Soares, RM Thiago, VT da Silva ICEIS (2), 201-208, 2020 | 13 | 2020 |
| Evaluation of Server Push Technologies for Scalable Client-Server Communication EF de Souza Soares, RM Thiago, LG Azevedo, M de Bayser, VT da Silva, ... 2018 IEEE Symposium on Service-Oriented System Engineering (SOSE), 1-10, 2018 | 9 | 2018 |
| DevOps and microservices in scientific system development: Experience on a multi-year industry research project M De Bayser, V Segura, LG Azevedo, LP Tizzei, R Thiago, E Soares, ... Proceedings of the 37th ACM/SIGAPP symposium on applied computing, 1452-1455, 2022 | 8 | 2022 |
| On the maintenance of a scientific application based on microservices: an experience report LP Tizzei, L Azevedo, E Soares, R Thiago, R Costa 2020 IEEE International Conference on Web Services (ICWS), 102-109, 2020 | 7 | 2020 |
| OWL ontology evolution: understanding and unifying the complex changes VT Da Silva, JS Dos Santos, R Thiago, E Soares, LG Azevedo The Knowledge Engineering Review 37, e10, 2022 | 6 | 2022 |
| Managing data lineage of o&g machine learning models: the sweet spot for shale use case RM Thiago, R Souza, L Azevedo, EFDS Soares, R Santos, W Dos Santos, ... First EAGE Digitalization Conference and Exhibition 2020 (1), 1-5, 2020 | 6 | 2020 |
| Experiencing provlake to manage the data lineage of ai workflows LG Azevedo, R Souza, RM Thiago, E Soares, M Moreno Simpósio Brasileiro de Sistemas de Informação (SBSI), 206-209, 2020 | 5 | 2020 |
| Geological data access on a polyglot database using a service architecture LG Azevedo, RS Ferreira, VT Silva, M de Bayser, EFS Soares, RM Thiago Proceedings of the XIII Brazilian Symposium on Software Components …, 2019 | 5 | 2019 |
| Terminology learning through taxonomy discovery R Melo, K Revoredo, A Paes 2013 Brazilian Conference on Intelligent Systems, 169-174, 2013 | 5 | 2013 |
| Learning Multiple Description Logics Concepts. R Melo, K Revoredo, A Paes ILP (Late Breaking Papers), 17-22, 2013 | 4 | 2013 |
| An experimental analysis of tools for ontology evolution management JS Santos, VT Silva, LG Azevedo, EF Soares, RM Thiago Proceedings of the 22nd International Conference on Enterprise Information …, 2020 | 3 | 2020 |
| CATS: Cognitive Analytic Trail System. RM Thiago, LG Azevedo, VT da Silva, VCVB Segura, MN dos Santos, ... AAAI Workshop: Symbiotic Cognitive Systems, 2016 | 3 | 2016 |
| Enabling contextualized ontology modeling with a collaborative multi-view system E Soares, R Thiago, L Azevedo, S Fiorini, M Moreno INTERNATIONAL SEMANTIC WEB CONFERENCE ON DEMOS AND INDUSTRY TRACKS: FROM …, 2020 | 2 | 2020 |
| Managing data traceability in the data lifecycle for deep learning applied to seismic data RFS Souza, EAV Brazil, LG Azevedo, RDS Ferreira, DS Civitarese, ... AAPG Annual Convention and Exhibition, 2019 | 2 | 2019 |
| Syntactic compression of description logics terminologies R Melo, KC Revoredo, A Paes 2014 Brazilian Conference on Intelligent Systems, 180-185, 2014 | 2 | 2014 |
