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ORCIDPaulo S. C. Alencar
- > Home > Persons > Paulo S. C. Alencar
Publications
- 2024
[i30]Giuliano Lorenzoni, Cristina Tavares, Nathalia Moraes do Nascimento, Paulo S. C. Alencar, Donald D. Cowan:
Assessing ML Classification Algorithms and NLP Techniques for Depression Detection: An Experimental Case Study. CoRR abs/2404.04284 (2024)- 2023
- [j37]Glaucia Melo dos Santos
, Nathalia Moraes do Nascimento, Paulo Alencar, Donald D. Cowan:
Identifying Factors That Impact Levels of Automation in Autonomous Systems. IEEE Access 11: 56437-56452 (2023) - [c119]Nathalia Moraes do Nascimento, Paulo S. C. Alencar, Donald D. Cowan:
Self-Adaptive Large Language Model (LLM)-Based Multiagent Systems. ACSOS-C 2023: 104-109 - [c118]Glaucia Melo, Nathalia Moraes do Nascimento, Paulo S. C. Alencar, Donald D. Cowan:
Variability-Aware Architecture for Human-Chatbot Interactions: Taming Levels of Automation. ACSOS-C 2023: 122-127 - [c117]Cristina Tavares, Nathalia Moraes do Nascimento, Paulo Alencar, Donald D. Cowan:
Extending Variability-Aware Model Selection with Bias Detection in Machine Learning Projects. IEEE Big Data 2023: 2441-2449 - [c114]Nathalia Moraes do Nascimento, Cristina Tavares, Paulo S. C. Alencar, Donald D. Cowan:
GPT in Data Science: A Practical Exploration of Model Selection. IEEE Big Data 2023: 4325-4334 - [c113]Luis Fernando Lins, Nathalia Moraes do Nascimento, Paulo Sérgio C. de Alencar, Toacy C. Oliveira, Donald D. Cowan:
Comparing Generative Chatbots Based on Process Requirements: A Case Study. IEEE Big Data 2023: 4664-4673 - [c112]Nathalia Moraes do Nascimento, Paulo S. C. Alencar, Donald D. Cowan:
GPT-in-the-Loop: Supporting Adaptation in Multiagent Systems. IEEE Big Data 2023: 4674-4683 - [c110]Nathalia Moraes do Nascimento, Paulo S. C. Alencar, Donald D. Cowan:
Artificial Intelligence vs. Software Engineers: An Empirical Study on Performance and Efficiency using ChatGPT. CASCON 2023: 24-33 - [i28]Nathalia Moraes do Nascimento, Paulo S. C. Alencar, Donald D. Cowan:
Comparing Software Developers with ChatGPT: An Empirical Investigation. CoRR abs/2305.11837 (2023) - [i27]Nathalia Moraes do Nascimento, Paulo Alencar, Donald D. Cowan:
Self-Adaptive Large Language Model (LLM)-Based Multiagent Systems. CoRR abs/2307.06187 (2023) - [i26]Nathalia Moraes do Nascimento, Paulo S. C. Alencar, Donald D. Cowan:
GPT-in-the-Loop: Adaptive Decision-Making for Multiagent Systems. CoRR abs/2308.10435 (2023) - [i25]Nathalia Moraes do Nascimento, Cristina Tavares, Paulo S. C. Alencar, Donald D. Cowan:
GPT in Data Science: A Practical Exploration of Model Selection. CoRR abs/2311.11516 (2023) - [i24]Cristina Tavares, Nathalia Moraes do Nascimento, Paulo S. C. Alencar, Donald D. Cowan:
Extending Variability-Aware Model Selection with Bias Detection in Machine Learning Projects. CoRR abs/2311.14214 (2023) - [i23]Luis Fernando Lins, Nathalia Moraes do Nascimento, Paulo S. C. Alencar, Toacy Cavalcante de Oliveira, Donald D. Cowan:
Comparing Generative Chatbots Based on Process Requirements. CoRR abs/2312.03741 (2023) - 2022
- [c107]Cristina Tavares, Nathalia Moraes do Nascimento, Paulo S. C. Alencar, Donald D. Cowan:
Adaptive Method for Machine Learning Model Selection in Data Science Projects. IEEE Big Data 2022: 2682-2688 - [c106]Antonio Iyda Paganelli, André Sarmento, Adriano Branco, Markus Endler, Nathalia Moraes do Nascimento, Paulo S. C. Alencar, Donald D. Cowan:
Assessing Energy Consumption in Data Acquisition from Smart Wearable Sensors in IoT-Based Health Applications. IEEE Big Data 2022: 2882-2885 - [c104]Glaucia Melo dos Santos, Nathalia Moraes do Nascimento, Paulo Alencar, Donald D. Cowan:
Understanding Levels of Automation in Human-Machine Collaboration. IEEE Big Data 2022: 3952-3958 - 2021
- [c99]Nathalia Moraes do Nascimento, Paulo Alencar, Donald D. Cowan:
An Approach to Support Human-in-the-Loop Big Data Software Development Projects. IEEE BigData 2021: 2319-2326 - [c98]Nathalia Moraes do Nascimento, Paulo Alencar, Donald D. Cowan:
A Lifecycle for Engineering IoT Neural Network-based Systems. IEEE BigData 2021: 2427-2433 - [c96]Nathalia Moraes do Nascimento, Paulo Alencar, Donald D. Cowan:
Context-Aware Data Analytics Variability in IoT Neural Network-Based Systems. IEEE BigData 2021: 3595-3600 - [c95]Maria Cristina Vale Tavares, Nathalia Moraes do Nascimento, Paulo Alencar, Donald D. Cowan:
Towards Automated Variability-Aware Machine-Learning-Based Modeling Analysis. IEEE BigData 2021: 3890-3896 - [i20]Giuliano Lorenzoni, Paulo Alencar, Nathalia Moraes do Nascimento, Donald D. Cowan:
Machine Learning Model Development from a Software Engineering Perspective: A Systematic Literature Review. CoRR abs/2102.07574 (2021) - [i19]Nathalia Moraes do Nascimento, Paulo Alencar, Donald D. Cowan, Carlos Lucena:
A Reference Model for IoT Embodied Agents Controlled by Neural Networks. CoRR abs/2102.07589 (2021) - 2020
- [j31]Nathalia Moraes do Nascimento, Paulo S. C. Alencar, Carlos Lucena, Donald D. Cowan:
A Metadata-Driven Approach for Testing Self-Organizing Multiagent Systems. IEEE Access 8: 204256-204267 (2020) - [c86]Nathalia Moraes do Nascimento, Paulo S. C. Alencar, Donald D. Cowan, Carlos Lucena:
A Reference Model for IoT Embodied Agents Controlled by Neural Networks. IEEE BigData 2020: 3500-3505 - 2019
- [i14]Nathalia Moraes do Nascimento, Carlos Lucena, Paulo S. C. Alencar, Carlos Juliano M. Viana:
Testing Self-Organizing Multiagent Systems. CoRR abs/1904.01736 (2019) - 2018
- [c71]Nathalia Moraes do Nascimento, Paulo S. C. Alencar, Carlos Lucena, Donald D. Cowan:
Toward Human-in-the-Loop Collaboration Between Software Engineers and Machine Learning Algorithms. IEEE BigData 2018: 3534-3540 - [c69]Nathalia Moraes do Nascimento, Paulo S. C. Alencar, Carlos Lucena, Donald D. Cowan:
An IoT Analytics Embodied Agent Model based on Context-Aware Machine Learning. IEEE BigData 2018: 5170-5175 - [c67]Nathalia Moraes do Nascimento, Paulo S. C. Alencar, Carlos Lucena, Donald D. Cowan:
A context-aware machine learning-based approach. CASCON 2018: 40-47 - [i11]Nathalia Moraes do Nascimento, Carlos Lucena, Paulo S. C. Alencar, Donald D. Cowan:
Software Engineers vs. Machine Learning Algorithms: An Empirical Study Assessing Performance and Reuse Tasks. CoRR abs/1802.01096 (2018) - [i10]Nathalia Moraes do Nascimento, Paulo S. C. Alencar, Carlos Lucena, Donald D. Cowan:
Machine Learning-based Variability Handling in IoT Agents. CoRR abs/1802.03858 (2018) - [i8]Nathalia Moraes do Nascimento, Paulo S. C. Alencar, Carlos Lucena, Donald D. Cowan:
An IoT Analytics Embodied Agent Model based on Context-Aware Machine Learning. CoRR abs/1812.06791 (2018)
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last updated on 2024-08-05 21:16 CEST by the dblp team
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