Giuliano Lorenzoni

According to our database, Giuliano Lorenzoni authored at least 13 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2026

CPEMH: An Agentic Framework for Prompt-Driven Behavior Evaluation and Assurance in Foundation-Model Systems for Mental Health Screening.

Giuliano Lorenzoni, Ivens Portugal, Paulo S. C. Alencar, Donald D. Cowan

CoRR, May, 2026

CPEMH: An Agentic Framework for Prompt-Driven Behavior Evaluation and Assurance in Foundation-Model Systems for Mental Health Screening.

Giuliano Lorenzoni, Ivens da Silva Portugal, Paulo S. C. Alencar, Donald D. Cowan

Proceedings of the 2026 International Workshop on Agentic Engineering, 2026

LLM-X: A Scalable Negotiation-Oriented Exchange for Communication Among Personal LLM Agents.

Giuliano Lorenzoni, Paulo S. C. Alencar, Donald D. Cowan

Proceedings of the 2026 International Workshop on Agentic Engineering, 2026

2025

Exploring Variability in Fine-Tuned Models for Text Classification with DistilBERT.

Giuliano Lorenzoni, Ivens Portugal, Paulo Alencar, Donald D. Cowan

CoRR, January, 2025

Towards a Graph-Based Agentic Workflow and Framework for Natural Language Directions.

Ivens Da Silva Portugal, Giuliano Lorenzoni, Paulo S. C. Alencar, Donald D. Cowan

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.

Giuliano Lorenzoni, Ivens Portugal, Paulo S. C. Alencar, Donald D. Cowan

Proceedings of the IEEE International Conference on Big Data, 2025

An Agentic LLM-Based Framework for Population-Scale Mental Health Screening.

Giuliano Lorenzoni, Paulo S. C. Alencar, Donald D. Cowan

Proceedings of the IEEE International Conference on Big Data, 2025

ACVA: An Agentic LLM-Based Framework for CVA Calculation.

Giuliano Lorenzoni, Paulo S. C. Alencar, Donald D. Cowan

Proceedings of the IEEE International Conference on Big Data, 2025

ABL: An LLM-Based Agentic Framework for Applying Black-Litterman Portfolio Optimization.

Giuliano Lorenzoni, Paulo S. C. Alencar, Donald D. Cowan

Proceedings of the IEEE International Conference on Big Data, 2025

From Text to Insight: Towards Robust RAG Pipelines for Transcript-Based Clinical Screening.

Giuliano Lorenzoni, Paulo S. C. Alencar, Donald D. Cowan

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.

Giuliano Lorenzoni, Cristina Tavares, Nathalia Moraes do Nascimento, Paulo S. C. Alencar, Donald D. Cowan

CoRR, 2024

GPT-4 on Clinic Depression Assessment: An LLM-Based Pilot Study.

Giuliano Lorenzoni, Pedro Elkind Velmovitsky, Paulo S. C. Alencar, Donald D. Cowan

Proceedings of the IEEE International Conference on Big Data, 2024

2021

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

Giuliano Lorenzoni, Paulo Alencar, Nathalia Moraes do Nascimento, Donald D. Cowan

CoRR, 2021