11 citations · 11 across the 7 of their papers we have counts for
3 papers · 1 filter
Exploring Variability in Fine-Tuned Models for Text Classification with DistilBERT
Giuliano Lorenzoni, Ivens Portugal, Paulo Alencar +1
This study evaluates fine-tuning strategies for text classification using the DistilBERT model, specifically the distilbert-base-uncased-finetuned-sst-2-english variant. Through st…
GPT-4 on Clinic Depression Assessment: An LLM-Based Pilot Study
Giuliano Lorenzoni, Pedro Elkind Velmovitsky, Paulo Alencar +1
Depression has impacted millions of people worldwide and has become one of the most prevalent mental disorders. Early mental disorder detection can lead to cost savings for public…
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…