1 citations · 1 across the 4 of their papers we have counts for
4 papers
Variability-Aware Machine Learning Model Selection: Feature Modeling, Instantiation, and Experimental Case Study
Cristina Tavares, Nathalia Nascimento, Paulo Alencar +1
The emergence of machine learning (ML) has led to a transformative shift in software techniques and guidelines for building software applications that support data analysis process…
Assessing ML Classification Algorithms and NLP Techniques for Depression Detection: An Experimental Case Study
Giuliano Lorenzoni, Cristina Tavares, Nathalia Nascimento +2
Depression has affected millions of people worldwide and has become one of the most common mental disorders. Early mental disorder detection can reduce costs for public health agen…
Extending Variability-Aware Model Selection with Bias Detection in Machine Learning Projects
Cristina Tavares, Nathalia Nascimento, Paulo Alencar +1
Data science projects often involve various machine learning (ML) methods that depend on data, code, and models. One of the key activities in these projects is the selection of a m…
GPT in Data Science: A Practical Exploration of Model Selection
Nathalia Nascimento, Cristina Tavares, Paulo Alencar +1
There is an increasing interest in leveraging Large Language Models (LLMs) for managing structured data and enhancing data science processes. Despite the potential benefits, this i…