Zobrazeno 1 - 10
of 91
pro vyhledávání: '"Nascimento, Nathália"'
Autor:
Peixoto, Myron David Lucena Campos, Baia, Davy de Medeiros, Nascimento, Nathalia, Alencar, Paulo, Fonseca, Baldoino, Ribeiro, Márcio
Background: Manual testing is vital for detecting issues missed by automated tests, but specifying accurate verifications is challenging. Aims: This study aims to explore the use of Large Language Models (LLMs) to produce verifications for manual tes
Externí odkaz:
http://arxiv.org/abs/2409.12405
Depression has affected millions of people worldwide and has become one of the most common mental disorders. Early mental disorder detection can reduce costs for public health agencies and prevent other major comorbidities. Additionally, the shortage
Externí odkaz:
http://arxiv.org/abs/2404.04284
Business processes are commonly represented by modelling languages, such as Event-driven Process Chain (EPC), Yet Another Workflow Language (YAWL), and the most popular standard notation for modelling business processes, the Business Process Model an
Externí odkaz:
http://arxiv.org/abs/2312.03741
Data science projects often involve various machine learning (ML) methods that depend on data, code, and models. One of the key activities in these projects is the selection of a model or algorithm that is appropriate for the data analysis at hand. M
Externí odkaz:
http://arxiv.org/abs/2311.14214
There is an increasing interest in leveraging Large Language Models (LLMs) for managing structured data and enhancing data science processes. Despite the potential benefits, this integration poses significant questions regarding their reliability and
Externí odkaz:
http://arxiv.org/abs/2311.11516
This paper introduces the "GPT-in-the-loop" approach, a novel method combining the advanced reasoning capabilities of Large Language Models (LLMs) like Generative Pre-trained Transformers (GPT) with multiagent (MAS) systems. Venturing beyond traditio
Externí odkaz:
http://arxiv.org/abs/2308.10435
In autonomic computing, self-adaptation has been proposed as a fundamental paradigm to manage the complexity of multiagent systems (MASs). This achieved by extending a system with support to monitor and adapt itself to achieve specific concerns of in
Externí odkaz:
http://arxiv.org/abs/2307.06187
The advent of automation in particular Software Engineering (SE) tasks has transitioned from theory to reality. Numerous scholarly articles have documented the successful application of Artificial Intelligence to address issues in areas such as proje
Externí odkaz:
http://arxiv.org/abs/2305.11837
Autor:
Fernandes, Alexandre M., Cohn-Haft, Mario, Fábio Silveira, Luís, Aleixo, Alexandre, Nascimento, Nathália, Olsson, Urban
Publikováno v:
In Molecular Phylogenetics and Evolution September 2024 198
Embodied agents is a term used to denote intelligent agents, which are a component of devices belonging to the Internet of Things (IoT) domain. Each agent is provided with sensors and actuators to interact with the environment, and with a 'controller
Externí odkaz:
http://arxiv.org/abs/2102.07589