Search Results for author: Giuliano Lorenzoni

Found 2 papers, 0 papers with code

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

no code implementations3 Apr 2024 Giuliano Lorenzoni, Cristina Tavares, Nathalia Nascimento, Paulo Alencar, Donald Cowan

The case study is based on the Distress Analysis Interview Corpus - Wizard-of-Oz (DAIC-WOZ) dataset, which is designed to support the diagnosis of mental disorders such as depression, anxiety, and PTSD.

Depression Detection feature selection

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

no code implementations15 Feb 2021 Giuliano Lorenzoni, Paulo Alencar, Nathalia Nascimento, Donald Cowan

Data scientists often develop machine learning models to solve a variety of problems in the industry and academy but not without facing several challenges in terms of Model Development.

BIG-bench Machine Learning

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