Nathalia Moraes do Nascimento

Baldoino Fonseca

Márcio Ribeiro

CoRR, 2024

Assessing ML Classification Algorithms and NLP Techniques for Depression Detection: An Experimental Case Study.

[BibT_eX]

[DOI]

Giuliano Lorenzoni

CoRR, 2024

2023

Comparing Generative Chatbots Based on Process Requirements.

[BibT_eX]

[DOI]

Luis Fernando Lins

Toacy Cavalcante de Oliveira

CoRR, 2023

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

[BibT_eX]

[DOI]

CoRR, 2023

Comparing Software Developers with ChatGPT: An Empirical Investigation.

[BibT_eX]

[DOI]

CoRR, 2023

Identifying Factors That Impact Levels of Automation in Autonomous Systems.

[BibT_eX]

[DOI]

Glaucia Melo dos Santos

IEEE Access, 2023

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Big Data, 2023

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

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Big Data, 2023

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

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Big Data, 2023

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

[BibT_eX]

[DOI]

Luis Fernando Lins

Paulo Sérgio C. de Alencar

Toacy C. Oliveira

Proceedings of the IEEE International Conference on Big Data, 2023

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Glaucia Melo

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.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Big Data, 2022

Understanding Levels of Automation in Human-Machine Collaboration.

[BibT_eX]

[DOI]

Glaucia Melo dos Santos

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.

[BibT_eX]

[DOI]

Antonio Iyda Paganelli

André Sarmento

Adriano Branco

Markus Endler

Proceedings of the IEEE International Conference on Big Data, 2022

2021

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

[BibT_eX]

[DOI]

Giuliano Lorenzoni

Maria Cristina Vale Tavares

CoRR, 2021

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

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

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

A Lifecycle for Engineering IoT Neural Network-based Systems.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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

2020

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

[BibT_eX]

[DOI]

IEEE Access, 2020

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

[BibT_eX]

[DOI]

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

2019

Testing Self-Organizing Multiagent Systems.

[BibT_eX]

[DOI]

Carlos Juliano M. Viana

CoRR, 2019

2018

Machine Learning-based Variability Handling in IoT Agents.

[BibT_eX]

[DOI]

CoRR, 2018

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

[BibT_eX]

[DOI]

CoRR, 2018

A context-aware machine learning-based approach.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Tassio Ferenzini Martins Sirqueira

Inf. Sci., 2017

A Software Framework for Data Provenance.

[BibT_eX]

[DOI]

Marx L. Viana

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

A Publish-Subscribe based Architecture for Testing Multiagent Systems.

[BibT_eX]

[DOI]

Carlos Juliano M. Viana

Arndt von Staa

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

Engineering cooperative smart things based on embodied cognition.

[BibT_eX]

[DOI]

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

2016

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

[BibT_eX]

[DOI]

Jean-Pierre Briot

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

2015

Modeling Quantified Things Using a Multi-Agent System.

[BibT_eX]

[DOI]