most citedDevOps and Microservices in Scientific System development

8 citations · 8 across the 1 of their papers we have counts for

collaborators

5 papers

cs.HC2024

Making Sense of Knowledge Intensive Processes: an Oil & Gas Industry Scenario

Juliana Jansen Ferreira, Vinícius Segura, Ana Fucs +1

Sensemaking is a constant and ongoing process by which people associate meaning to experiences. It can be an individual process, known as abduction, or a group process by which peo…

cs.AI2023

Human-AI Co-Creation Approach to Find Forever Chemicals Replacements

Juliana Jansen Ferreira, Vinícius Segura, Joana G. R. Souza +4

Generative models are a powerful tool in AI for material discovery. We are designing a software framework that supports a human-AI co-creation process to accelerate finding replace…

cs.LG20231 cited

Position Paper on Dataset Engineering to Accelerate Science

Emilio Vital Brazil, Eduardo Soares, Lucas Villa Real +4

Data is a critical element in any discovery process. In the last decades, we observed exponential growth in the volume of available data and the technology to manipulate it. Howeve…

cs.AI2023

Knowledge-augmented Risk Assessment (KaRA): a hybrid-intelligence framework for supporting knowledge-intensive risk assessment of prospect candidates

Carlos Raoni Mendes, Emilio Vital Brazil, Vinicius Segura +1

Evaluating the potential of a prospective candidate is a common task in multiple decision-making processes in different industries. We refer to a prospect as something or someone t…

cs.SE20218 cited

DevOps and Microservices in Scientific System development

Maximillien de Bayser, Vinicius Segura, Leonardo Guerreiro Azevedo +4

There is a gap in scientific information systems development concerning modern software engineering and scientific computing. Historically, software engineering methodologies have…