Leonardo Nucciarelli

ORCID: 0009-0003-8085-1365
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About
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Research Areas
  • Privacy-Preserving Technologies in Data
  • Artificial Intelligence in Healthcare and Education
  • Speech and Audio Processing
  • Music and Audio Processing
  • Blockchain Technology Applications and Security
  • Speech Recognition and Synthesis
  • Artificial Intelligence in Healthcare
  • Scientific Computing and Data Management

Università Cattolica del Sacro Cuore
2023-2024

Sapienza University of Rome
2021

Abstract Background Artificial intelligence (AI) has become a pivotal tool in advancing contemporary personalised medicine, with the goal of tailoring treatments to individual patient conditions. This heightened demand for access diverse data from clinical practice and daily life research, posing challenges due sensitive nature medical information, including genetics health Regulations like Health Insurance Portability Accountability Act (HIPAA) U.S. General Data Protection Regulation (GDPR)...

10.1186/s12911-024-02549-5 article EN cc-by BMC Medical Informatics and Decision Making 2024-06-17

The L3DAS21 Challenge is aimed at encouraging and fostering collaborative research on machine learning for 3D audio signal processing, with particular focus speech enhancement (SE) sound localization detection (SELD). Alongside the challenge, we release dataset, a 65 hours corpus, accompanied Python API that facilitates data usage results submission stage. Usually, approaches to tasks are based single-perspective Ambisonics recordings or arrays of single-capsule microphones. We propose,...

10.1109/mlsp52302.2021.9596248 preprint EN 2021-10-25

Software verification, that is requirements baseline analysis, technical specification design analysis and code testing [1], a crucial aspect of software development, ensuring the products each development phase satisfy conditions imposed at start [2]. Traditional verification techniques often rely on manual effort, which can be time-consuming error prone. However, with recent advancements in Generative Artificial Intelligence (AI) Large Language Models (LLMs), there growing opportunity to...

10.1145/3742939.3742946 article EN ACM SIGAda Ada Letters 2025-05-28

<title>Abstract</title> <bold>Background:</bold> Artificial intelligence (AI) has become a pivotal tool in advancing contemporary personalised medicine, with the goal of tailoring treatments to individual patient conditions. This heightened demand for access diverse data from clinical practice and daily life research, posing challenges due sensitive nature medical information, including genetics health Regulations like Health Insurance Portability Accountability Act (HIPAA) U.S. General Data...

10.21203/rs.3.rs-3816282/v1 preprint EN cc-by Research Square (Research Square) 2023-12-29

The results and details of the clinical studies research must be securely stored to ensure reliability, accountability, prevent malicious misuse. To accomplish this, a secure method for storing metadata study is crucial. Also, mechanism accountability both data owners researchers needed. In this way, scientific community can rely on verify methods presented by researchers, while check validity analyzed have proof authorship their work. A modular framework in paper, which utilizes blockchain...

10.3233/shti240643 article EN cc-by-nc Studies in health technology and informatics 2024-08-22

The L3DAS21 Challenge is aimed at encouraging and fostering collaborative research on machine learning for 3D audio signal processing, with particular focus speech enhancement (SE) sound localization detection (SELD). Alongside the challenge, we release dataset, a 65 hours corpus, accompanied Python API that facilitates data usage results submission stage. Usually, approaches to tasks are based single-perspective Ambisonics recordings or arrays of single-capsule microphones. We propose,...

10.48550/arxiv.2104.05499 preprint EN cc-by arXiv (Cornell University) 2021-01-01
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