Nathalia Nascimento | DeepAI

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Featured Co-authors

Paulo Alencar
24 publications
Donald Cowan
18 publications
Carlos Lucena
7 publications
Carlos Juliano Viana
1 publication
Giuliano Lorenzoni
1 publication

∙ 08/21/2023

GPT-in-the-Loop: Adaptive Decision-Making for Multiagent Systems

This paper introduces the "GPT-in-the-loop" approach, a novel method com...

0 Nathalia Nascimento, et al. ∙

∙ 07/12/2023

Self-Adaptive Large Language Model (LLM)-Based Multiagent Systems

In autonomic computing, self-adaptation has been proposed as a fundament...

0 Nathalia Nascimento, et al. ∙

∙ 05/19/2023

Comparing Software Developers with ChatGPT: An Empirical Investigation

The advent of automation in particular Software Engineering (SE) tasks h...

0 Nathalia Nascimento, et al. ∙

∙ 02/15/2021

A Reference Model for IoT Embodied Agents Controlled by Neural Networks

Embodied agents is a term used to denote intelligent agents, which are a...

0 Nathalia Nascimento, et al. ∙

∙ 02/15/2021

Machine Learning Model Development from a Software Engineering Perspective: A Systematic Literature Review

Data scientists often develop machine learning models to solve a variety...

0 Giuliano Lorenzoni, et al. ∙

∙ 04/03/2019

Testing Self-Organizing Multiagent Systems

Multiagent Systems (MASs) involve different characteristics, such as aut...

0 Nathalia Nascimento, et al. ∙

∙ 12/14/2018

An IoT Analytics Embodied Agent Model based on Context-Aware Machine Learning

Agent-based Internet of Things (IoT) applications have recently emerged ...

0 Nathalia Nascimento, et al. ∙

∙ 02/12/2018

Machine Learning-based Variability Handling in IoT Agents

Agent-based IoT applications have recently been proposed in several doma...

0 Nathalia Nascimento, et al. ∙

∙ 02/04/2018

Software Engineers vs. Machine Learning Algorithms: An Empirical Study Assessing Performance and Reuse Tasks

Several papers have recently contained reports on applying machine learn...

0 Nathalia Nascimento, et al. ∙

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