Giuliano Lorenzoni
According to our database1,
Giuliano Lorenzoni authored at least 10 papers
between 2021 and 2025.
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Bibliography
2025
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
Proceedings of the IEEE International Conference on Big Data, 2025
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
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