Antonio Lanatà

Professor

University of Florence

Italy

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Antonio Lanatà is a Professor at the University of Florence, Italy. His research areas encompass the application of artificial intelligence in genetic syndrome screening, voice feature analysis in genetic conditions, and the utilization of large language models in narrative experiences. He has published recent articles on topics including facial emotion recognition, dynamic modeling of virus spread, and cognitive evaluations related to deepfake technology.

Articles (17)

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2025

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2024

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2023

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2023

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2023

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2023

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2022

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2022

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2022

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2021

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Adjunct Professor - Biomedical Signal Processing course. ING-INF/06, Second cycle degree Biomedical Engineering.

University of Florence

ITALY

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Antonio Lanatà

Research Interests

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Articles (17)

The Role of Large Language Model-Generated Stories in the Narrative Experience of Serious Visual Novel Games

Do Rare Genetic Conditions Exhibit a Specific Phonotype? A Comprehensive Description of the Vocal Traits Associated with Crisponi/Cold-Induced Sweating Syndrome Type 1

Facial Emotion Recognition (FER) Through Custom Lightweight CNN Model: Performance Evaluation in Public Datasets

From phenotype to phonotype: a comprehensive description of voice features of Cri du chat syndrome

Genetic Algorithms for Feature Selection in the Classification of COVID-19 Patients

Real and Deepfake Face Recognition: An EEG Study on Cognitive and Emotive Implications

Heart and brain: Change in cardiac entropy is related to lateralised visual inspection in horses

Design of Cloud-Based Real-Time Eye-Tracking Monitoring and Storage System

Interaction of Virus in Cancer Patients: A Theoretical Dynamic Model

Artificial Intelligence Procedure for the Screening of Genetic Syndromes Based on Voice Characteristics

A Novel Nonlinear Dynamic Model Describing the Spread of Virus

Advances in Multivariate and Multiscale Physiological Signal Analysis

Wearable Systems for Home Monitoring Healthcare: The Photoplethysmography Success Pros and Cons

Heart Rate Variability Analysis for Seizure Detection in Neonatal Intensive Care Units

Multiscale Entropy Analysis of Heart Rate Variability in Neonatal Patients with and without Seizures

Automatic Detection of Epileptic Seizures in Neonatal Intensive Care Units Through EEG, ECG and Video Recordings: A Survey

A tool for the real-time evaluation of ECG signal quality and activity: Application to submaximal treadmill test in horses

Collaborators (10)

Mirko Duradoni

ELISABETTA SFORZA

Adam Reddon

leonardo bocchi

Mateusz Soliński

Roberta Onesimo

CLAUDIA MANFREDI

Teodor Buchner

Mimma Nardelli

Lorenzo Frassineti

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