20 citations · 35 across the 3 of their papers we have counts for
7 papers
A Reference Model for IoT Embodied Agents Controlled by Neural Networks
Nathalia Nascimento, Paulo Alencar, Donald Cowan +1
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…
Machine Learning Model Development from a Software Engineering Perspective: A Systematic Literature Review
Giuliano Lorenzoni, Paulo Alencar, Nathalia Nascimento +1
Data scientists often develop machine learning models to solve a variety of problems in the industry and academy but not without facing several challenges in terms of Model Develop…
Testing Self-Organizing Multiagent Systems
Nathalia Nascimento, Carlos Lucena, Paulo Alencar +1
Multiagent Systems (MASs) involve different characteristics, such as autonomy, asynchronous and social features, which make these systems more difficult to understand. Thus, there…
An IoT Analytics Embodied Agent Model based on Context-Aware Machine Learning
Nathalia Nascimento, Paulo Alencar, Carlos Lucena +1
Agent-based Internet of Things (IoT) applications have recently emerged as applications that can involve sensors, wireless devices, machines and software that can exchange data and…
Machine Learning-based Variability Handling in IoT Agents
Nathalia Nascimento, Paulo Alencar, Carlos Lucena +1
Agent-based IoT applications have recently been proposed in several domains, such as health care, smart cities and agriculture. Deploying these applications in specific settings ha…
Software Engineers vs. Machine Learning Algorithms: An Empirical Study Assessing Performance and Reuse Tasks
Nathalia Nascimento, Carlos Lucena, Paulo Alencar +1
Several papers have recently contained reports on applying machine learning (ML) to the automation of software engineering (SE) tasks, such as project management, modeling and deve…