Voice Disorder Identification by Using Machine Learning Techniques von Verde, Laura, De Pietro, Giuseppe, Sannino, Giovanna

Volltext

Exploring the Use of Artificial Intelligence Techniques to Detect the Presence of Coronavirus Covid-19 Through Speech and Voice Analysis von Verde, Laura, De Pietro, Giuseppe, Ghoneim, Ahmed, Alrashoud, Mubarak, Al-Mutib, Khaled N., Sannino, Giovanna

Volltext

Sensitivity of Machine Learning Approaches to Fake and Untrusted Data in Healthcare Domain von Marulli, Fiammetta, Marrone, Stefano, Verde, Laura

Volltext

Voice signals database of ALS patients with different dysarthria severity and healthy controls von Dubbioso, Raffaele, Spisto, Myriam, Verde, Laura, Iuzzolino, Valentina Virginia, Senerchia, Gianmaria, Salvatore, Elena, De Pietro, Giuseppe, De Falco, Ivanoe, Sannino, Giovanna

Volltext

Leveraging Artificial Intelligence to Improve Voice Disorder Identification Through the Use of a Reliable Mobile App von Verde, Laura, De Pietro, Giuseppe, Alrashoud, Mubarak, Ghoneim, Ahmed, Al-Mutib, Khaled N., Sannino, Giovanna

Volltext

Improved Quality of Life After Mandibular Advancement by Bilateral Internal Ramus Distraction von Verde Sánchez, Laura, Capote-Moreno, Ana, Wix, Rybel, Rodríguez-Campo, Francisco J., Brabyn, Philip J., Rubio-Bueno, Pilar

Volltext

Dysphonia Detection Index (DDI): A New Multi-Parametric Marker to Evaluate Voice Quality von Verde, Laura, De Pietro, Giuseppe, Alrashoud, Mubarak, Ghoneim, Ahmed, Al-Mutib, Khaled N., Sannino, Giovanna

Volltext

Prognostic Involvement of Lymph Node Density in Oral Squamous Cell Carcinoma. A New Predictive Model von Verde-Sánchez, Laura, Capote, Ana-Laura, Sanz-García, Ancor, Brabyn, Philip, Rodríguez-Campo, Francisco Javier, Naval Gías, Luis

Volltext

A neural network approach to classify carotid disorders from Heart Rate Variability analysis von Verde, Laura, De Pietro, Giuseppe

Volltext

P1691: PALLIATIVE CARE IN HEMATOLOGICAL PATIENTS IS RELATED TO LESS AGGRESSIVE TREATMENT IN THE END‐OF‐LIFE, A RETROSPECTIVE STUDY von Facchinelli, Davide, Greco, Corinna, Rigno, Manuela, Menon, Daniela, Manno, Pietro, Potenza, Leonardo, Cartoni, Claudio, Riva, Marcello, Verde, Laura Dalla, Varalta, Anna, Tosetto, Alberto

Volltext

CNN-based classification of phonocardiograms using fractal techniques von Riccio, Daniel, Brancati, Nadia, Sannino, Giovanna, Verde, Laura, Frucci, Maria

Volltext

Exploring Data and Model Poisoning Attacks to Deep Learning-Based NLP Systems von Marulli, Fiammetta, Verde, Laura, Campanile, Lelio

Volltext

Exploring the Impact of Data Poisoning Attacks on Machine Learning Model Reliability von Verde, Laura, Marulli, Fiammetta, Marrone, Stefano

Volltext

A methodology for voice classification based on the personalized fundamental frequency estimation von Verde, Laura, De Pietro, Giuseppe, Sannino, Giovanna

Volltext

HEAR set: A ligHtwEight acoustic paRameters set to assess mental health from voice analysis von Verde, Laura, Marulli, Fiammetta, De Fazio, Roberta, Campanile, Lelio, Marrone, Stefano

Volltext

Voice Disorder Detection via an m-Health System: Design and Results of a Clinical Study to Evaluate Vox4Health von Sannino, Giovanna, Niri, Ciro, Marciano, Elio, De Pietro, Giuseppe, Cesari, Ugo, Verde, Laura

Volltext

Artificial Intelligence Techniques for the Non-invasive Detection of COVID-19 Through the Analysis of Voice Signals von Verde, Laura, De Pietro, Giuseppe, Sannino, Giovanna

Volltext

A new database of healthy and pathological voices von Cesari, Ugo, De Pietro, Giuseppe, Marciano, Elio, Niri, Ciro, Sannino, Giovanna, Verde, Laura

Volltext

A Deep Learning Approach for Voice Disorder Detection for Smart Connected Living Environments von Verde, Laura, Brancati, Nadia, De Pietro, Giuseppe, Frucci, Maria, Sannino, Giovanna

Volltext

Challenges and Trends in Federated Learning for Well-being and Healthcare von Campanile, Lelio, Marrone, Stefano, Marulli, Fiammetta, Verde, Laura

Volltext