Nathalia Moraes do Nascimento

According to our database, Nathalia Moraes do Nascimento authored at least 34 papers between 2015 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Comparing Generative Chatbots Based on Process Requirements.

Luis Fernando Lins, Nathalia Moraes do Nascimento, Paulo S. C. Alencar, Toacy Cavalcante de Oliveira, Donald D. Cowan

CoRR, 2023

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

Nathalia Moraes do Nascimento, Paulo S. C. Alencar, Donald D. Cowan

CoRR, 2023

Comparing Software Developers with ChatGPT: An Empirical Investigation.

Nathalia Moraes do Nascimento, Paulo S. C. Alencar, Donald D. Cowan

CoRR, 2023

Identifying Factors That Impact Levels of Automation in Autonomous Systems.

Glaucia Melo dos Santos, Nathalia Moraes do Nascimento, Paulo Alencar, Donald D. Cowan

IEEE Access, 2023

Artificial Intelligence vs. Software Engineers: An Empirical Study on Performance and Efficiency using ChatGPT.

Nathalia Moraes do Nascimento, Paulo S. C. Alencar, Donald D. Cowan

Proceedings of the 33rd Annual International Conference on Computer Science and Software Engineering, 2023

Extending Variability-Aware Model Selection with Bias Detection in Machine Learning Projects.

Cristina Tavares, Nathalia Moraes do Nascimento, Paulo Alencar, Donald D. Cowan

Proceedings of the IEEE International Conference on Big Data, 2023

GPT in Data Science: A Practical Exploration of Model Selection.

Nathalia Moraes do Nascimento, Cristina Tavares, Paulo S. C. Alencar, Donald D. Cowan

Proceedings of the IEEE International Conference on Big Data, 2023

GPT-in-the-Loop: Supporting Adaptation in Multiagent Systems.

Nathalia Moraes do Nascimento, Paulo S. C. Alencar, Donald D. Cowan

Proceedings of the IEEE International Conference on Big Data, 2023

Comparing Generative Chatbots Based on Process Requirements: A Case Study.

Luis Fernando Lins, Nathalia Moraes do Nascimento, Paulo Sérgio C. de Alencar, Toacy C. Oliveira, Donald D. Cowan

Proceedings of the IEEE International Conference on Big Data, 2023

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

Nathalia Moraes do Nascimento, Paulo S. C. Alencar, Donald D. Cowan

Proceedings of the IEEE International Conference on Autonomic Computing and Self-Organizing Systems, 2023

Variability-Aware Architecture for Human-Chatbot Interactions: Taming Levels of Automation.

Glaucia Melo, Nathalia Moraes do Nascimento, Paulo S. C. Alencar, Donald D. Cowan

Proceedings of the IEEE International Conference on Autonomic Computing and Self-Organizing Systems, 2023

2022

Adaptive Method for Machine Learning Model Selection in Data Science Projects.

Cristina Tavares, Nathalia Moraes do Nascimento, Paulo S. C. Alencar, Donald D. Cowan

Proceedings of the IEEE International Conference on Big Data, 2022

Understanding Levels of Automation in Human-Machine Collaboration.

Glaucia Melo dos Santos, Nathalia Moraes do Nascimento, Paulo Alencar, Donald D. Cowan

Proceedings of the IEEE International Conference on Big Data, 2022

Assessing Energy Consumption in Data Acquisition from Smart Wearable Sensors in IoT-Based Health Applications.

Antonio Iyda Paganelli, André Sarmento, Adriano Branco, Markus Endler, Nathalia Moraes do Nascimento, Paulo S. C. Alencar, Donald D. Cowan

Proceedings of the IEEE International Conference on Big Data, 2022

2021

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

Giuliano Lorenzoni, Paulo Alencar, Nathalia Moraes do Nascimento, Donald D. Cowan

CoRR, 2021

Towards Automated Variability-Aware Machine-Learning-Based Modeling Analysis.

Maria Cristina Vale Tavares, Nathalia Moraes do Nascimento, Paulo Alencar, Donald D. Cowan

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

Context-Aware Data Analytics Variability in IoT Neural Network-Based Systems.

Nathalia Moraes do Nascimento, Paulo Alencar, Donald D. Cowan

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

A Lifecycle for Engineering IoT Neural Network-based Systems.

Nathalia Moraes do Nascimento, Paulo Alencar, Donald D. Cowan

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

An Approach to Support Human-in-the-Loop Big Data Software Development Projects.

Nathalia Moraes do Nascimento, Paulo Alencar, Donald D. Cowan

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020

A Metadata-Driven Approach for Testing Self-Organizing Multiagent Systems.

Nathalia Moraes do Nascimento, Paulo S. C. Alencar, Carlos Lucena, Donald D. Cowan

IEEE Access, 2020

A Reference Model for IoT Embodied Agents Controlled by Neural Networks.

Nathalia Moraes do Nascimento, Paulo S. C. Alencar, Donald D. Cowan, Carlos Lucena

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019

Testing Self-Organizing Multiagent Systems.

Nathalia Moraes do Nascimento, Carlos Lucena, Paulo S. C. Alencar, Carlos Juliano M. Viana

CoRR, 2019

2018

Machine Learning-based Variability Handling in IoT Agents.

Nathalia Moraes do Nascimento, Paulo S. C. Alencar, Carlos Lucena, Donald D. Cowan

CoRR, 2018

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

Nathalia Moraes do Nascimento, Carlos Lucena, Paulo S. C. Alencar, Donald D. Cowan

CoRR, 2018

A context-aware machine learning-based approach.

Nathalia Moraes do Nascimento, Paulo S. C. Alencar, Carlos Lucena, Donald D. Cowan

Proceedings of the 28th Annual International Conference on Computer Science and Software Engineering, 2018

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

Nathalia Moraes do Nascimento, Paulo S. C. Alencar, Carlos Lucena, Donald D. Cowan

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

Toward Human-in-the-Loop Collaboration Between Software Engineers and Machine Learning Algorithms.

Nathalia Moraes do Nascimento, Paulo S. C. Alencar, Carlos Lucena, Donald D. Cowan

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

A Self-Configurable IoT Agent System based on Environmental Variability.

Nathalia Moraes do Nascimento

Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems, 2018

2017

FIoT: An agent-based framework for self-adaptive and self-organizing applications based on the Internet of Things.

Nathalia Moraes do Nascimento, Carlos José Pereira de Lucena

Inf. Sci., 2017

A Software Framework for Data Provenance.

Tassio Ferenzini Martins Sirqueira, Marx L. Viana, Nathalia Moraes do Nascimento, Carlos Lucena

Proceedings of the 29th International Conference on Software Engineering and Knowledge Engineering, 2017

A Publish-Subscribe based Architecture for Testing Multiagent Systems.

Nathalia Moraes do Nascimento, Carlos Juliano M. Viana, Arndt von Staa, Carlos Lucena

Proceedings of the 29th International Conference on Software Engineering and Knowledge Engineering, 2017

Engineering cooperative smart things based on embodied cognition.

Nathalia Moraes do Nascimento, Carlos José Pereira de Lucena

Proceedings of the 2017 NASA/ESA Conference on Adaptive Hardware and Systems, 2017

2016

A Multi-Agent Architecture for Quantified Fruits: Design and Experience.

Jean-Pierre Briot, Nathalia Moraes do Nascimento, Carlos José Pereira de Lucena

Proceedings of the 28th International Conference on Software Engineering and Knowledge Engineering, 2016

2015

Modeling Quantified Things Using a Multi-Agent System.

Nathalia Moraes do Nascimento, Carlos José Pereira de Lucena, Hugo Fuks

Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology, 2015