Giuliano Lorenzoni

According to our database1, Giuliano Lorenzoni authored at least 10 papers between 2021 and 2025.

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Bibliography

2025
Exploring Variability in Fine-Tuned Models for Text Classification with DistilBERT.
CoRR, January, 2025

Towards a Graph-Based Agentic Workflow and Framework for Natural Language Directions.
Proceedings of the IEEE International Conference on Big Data, 2025

Contextual Prompt Enabler for Mental Health (CPEMH): An Agent-Based LLM Framework for Prompt Design, Evaluation, and Selection for Depression Screening from Transcripts.
Proceedings of the IEEE International Conference on Big Data, 2025

An Agentic LLM-Based Framework for Population-Scale Mental Health Screening.
Proceedings of the IEEE International Conference on Big Data, 2025

ACVA: An Agentic LLM-Based Framework for CVA Calculation.
Proceedings of the IEEE International Conference on Big Data, 2025

ABL: An LLM-Based Agentic Framework for Applying Black-Litterman Portfolio Optimization.
Proceedings of the IEEE International Conference on Big Data, 2025

From Text to Insight: Towards Robust RAG Pipelines for Transcript-Based Clinical Screening.
Proceedings of the IEEE International Conference on Big Data, 2025

2024
Assessing ML Classification Algorithms and NLP Techniques for Depression Detection: An Experimental Case Study.
CoRR, 2024

GPT-4 on Clinic Depression Assessment: An LLM-Based Pilot Study.
Proceedings of the IEEE International Conference on Big Data, 2024

2021
Machine Learning Model Development from a Software Engineering Perspective: A Systematic Literature Review.
CoRR, 2021


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