Adaptive Method for Machine Learning Model Selection in Data Science Projects. - Cristina Tavares; Nathalia Moraes do Nascimento; Paulo S. C. Alencar; Donald D. Cowan (IEEE Big Data, 2022)

GPT in Data Science: A Practical Exploration of Model Selection. - Nathalia Moraes do Nascimento; Cristina Tavares; Paulo S. C. Alencar; Donald D. Cowan (IEEE Big Data, 2023)

Extending Variability-Aware Model Selection with Bias Detection in Machine Learning Projects. - Cristina Tavares; Nathalia Moraes do Nascimento; Paulo Alencar 001; Donald D. Cowan (IEEE Big Data, 2023)

Assessing ML Classification Algorithms and NLP Techniques for Depression Detection: An Experimental Case Study. - Giuliano Lorenzoni; Cristina Tavares; Nathalia Moraes do Nascimento; Paulo S. C. Alencar; Donald D. Cowan (CoRR, 2024)

Towards understanding barriers and mitigation strategies of software engineers with non-traditional educational and occupational backgrounds. - Tavian Barnes; Ken Jen Lee; Cristina Tavares; Gema Rodríguez-Pérez; Meiyappan Nagappan (Empir. Softw. Eng., 2024)

Variability-Aware Machine Learning Model Selection: Feature Modeling, Instantiation, and Experimental Case Study. - Cristina Tavares; Nathalia Moraes do Nascimento; Paulo S. C. Alencar; Donald D. Cowan (IEEE Access, 2025)