Speech Processing for Cochlear Implants with the Discrete Wavelet Transform: Feasibility Study and Performance Evaluation. - Alessia Paglialonga; Gabriella Tognola; Giuseppe Baselli; Marta Parazzini; Paolo Ravazzani; Ferdinando Grandori (EMBC, 2006)

Influence of cochlear implant-like operating conditions on wavelet speech processing. - Alessia Paglialonga; Gabriella Tognola; Federica Sibella; Marta Parazzini; Paolo Ravazzani; Ferdinando Grandori; Giuseppe Baselli (Comput. Biol. Medicine, 2008)

Enhancement of neural stochastic firing in cochlear implant stimulation by the addition of noise: A computational study of the influence of stimulation settings and spontaneous activity. - Alessia Paglialonga; Serena Fiocchi; Paolo Ravazzani; Gabriella Tognola (Comput. Biol. Medicine, 2010)

Transcranial Direct Current Stimulation: Estimation of the Electric Field and of the Current Density in an Anatomical Human Head Model. - Marta Parazzini; Serena Fiocchi; Elena Rossi; Alessia Paglialonga; Paolo Ravazzani (IEEE Trans. Biomed. Eng., 2011)

A Bispectral Approach to Analyze Nonlinear Cochlear Active Mechanisms in Transient Evoked Otoacoustic Emissions. - Stefano Marchesi; Gabriella Tognola; Alessia Paglialonga (IEEE Trans. Biomed. Circuits Syst., 2013)

A user-operated test of suprathreshold acuity in noise for adult hearing screening: The SUN (SPEECH UNDERSTANDING IN NOISE) test. - Alessia Paglialonga; Gabriella Tognola; Ferdinando Grandori (Comput. Biol. Medicine, 2014)

Apps for Hearing Healthcare. - Alessia Paglialonga; Gabriella Tognola; Francesco Pinciroli (MIE, 2015)

Attempting to Use MetaMap in Clinical Practice: A Feasibility Study on the Identification of Medical Concepts from Italian Clinical Notes. - Emma Chiaramello; Alessia Paglialonga; Francesco Pinciroli; Gabriella Tognola (MIE, 2016)

e-Health solutions for better care: Characterization of health apps to extract meaningful information and support users' choices. - Alessia Paglialonga; Francesco Pinciroli; Gabriella Tognola; Riccardo Barbieri; Enrico Gianluca Caiani; Marco Riboldi (RTSI, 2017)

An overview on the emerging area of identification, characterization, and assessment of health apps. - Alessia Paglialonga; Alessandra Lugo; Eugenio Santoro (J. Biomed. Informatics, 2018)

Development and preliminary evaluation of a novel adaptive staircase procedure for automated speech-in-noise testing. - Marco Zanet; Edoardo Maria Polo; Giulia Rocco; Alessia Paglialonga; Riccardo Barbieri (EMBC, 2019)

Use of Alternative Currencies, Blockchain Technology, and Predictive Analytics for Chronic Disease Prevention: A Conceptual Model. - Alessia Paglialonga; Karim Keshavjee (MedInfo, 2019)

Evaluation of the Changes in RR and QT Circadian Rhythms in Bedridden Subjects. - Sarah Solbiati; Alessia Paglialonga; Lorenzo Costantini; Enrico G. Caiani (CinC, 2020)

Challenges and Opportunities of IoT and AI in Pneumology. - Maurizio Mongelli; Vanessa Orani; Enrico Cambiaso; Ivan Vaccari; Alessia Paglialonga; Fulvio Braido; Chiara Eva Catalano (DSD, 2020)

Development and Evaluation of a Novel Method for Adult Hearing Screening: Towards a Dedicated Smartphone App. - Edoardo Maria Polo; Marco Zanet; Marta Lenatti; Toon van Waterschoot; Riccardo Barbieri; Alessia Paglialonga (HealthyIoT, 2020)

Evaluation of mobile apps for treatment of patients at risk of developing gestational diabetes. - Cristina Tassone; Karim Keshavjee; Alessia Paglialonga; Nimia Moreira; Jennifer Pinto; Yuri Quintana (Health Informatics J., 2020)

Analysis of the Effect of Emotion Elicitation on the Cardiovascular System. - Edoardo Maria Polo; Maximiliano Mollura; Marco Zanet; Marta Lenatti; Alessia Paglialonga; Riccardo Barbieri (CinC, 2021)

Assessing Cardiac Electro-Mechanical Deconditioning During Bed Rest Using Smartphone's Inertial Sensors. - Sarah Solbiati; Alessia Paglialonga; Lorenzo Costantini; Bostjan Simunic; Rado Pisot; Marco Narici; Enrico G. Caiani (CinC, 2021)

Emotion recognition from multimodal physiological measurements based on an interpretable feature selection method. - Edoardo Maria Polo; Maximiliano Mollura; Marta Lenatti; Marco Zanet; Alessia Paglialonga; Riccardo Barbieri (EMBC, 2021)

Automated classification of cancer morphology from Italian pathology reports using Natural Language Processing techniques: A rule-based approach. - Linda Hammami; Alessia Paglialonga; Giancarlo Pruneri; Michele Torresani; Milena Sant; Carlo Bono; Enrico Gianluca Caiani; Paolo Baili (J. Biomed. Informatics, 2021)

A Generative Adversarial Network (GAN) Technique for Internet of Medical Things Data. - Ivan Vaccari; Vanessa Orani; Alessia Paglialonga; Enrico Cambiaso; Maurizio Mongelli (Sensors, 2021)

Evaluation of a Novel Speech-in-Noise Test for Hearing Screening: Classification Performance and Transducers' Characteristics. - Marco Zanet; Edoardo Maria Polo; Marta Lenatti; Toon van Waterschoot; Maurizio Mongelli; Riccardo Barbieri; Alessia Paglialonga (IEEE J. Biomed. Health Informatics, 2021)

Listening Effort: Cardiovascular Investigation Through the Point Process. - Edoardo Maria Polo; Maximiliano Mollura; Alessia Paglialonga; Riccardo Barbieri (CinC, 2022)

Analysis of the skin conductance and pupil signals for evaluation of emotional elicitation by images and sounds. - Edoardo Maria Polo; Andrea Farabbi; Maximiliano Mollura; Riccardo Barbieri; Alessia Paglialonga; Luca T. Mainardi (EMBC, 2022)

Multivariate Classification of Mild and Moderate Hearing Loss Using a Speech-in-Noise Test for Hearing Screening at a Distance. - Edoardo Maria Polo; Maximiliano Mollura; Riccardo Barbieri; Alessia Paglialonga (HealthyIoT, 2022)

Design for a Virtual Peer-to-Peer Knowledge to Action Platform for Type 2 Diabetes. - Elham Golkhandan; Alessia Paglialonga; Aziz Guergachi; Marie-Thérèse Lussier; Claude Richard; Laurette Dubé; Ian Zenlea; Robert Kyba; Manmohan Mittal; Warren "Smokey" Thomas; Karim Keshavjee (MIE, 2022)

Characterization of Type 2 Diabetes Using Counterfactuals and Explainable AI. - Marta Lenatti; Alberto Carlevaro; Karim Keshavjee; Aziz Guergachi; Alessia Paglialonga; Maurizio Mongelli (MIE, 2022)

Behavioral Segmentation for Enhanced Peer-to-Peer Patient Education. - Alessia Paglialonga; Rebecca Theal; David Barber; Robert Kyba; Aziz Guergachi; Karim Keshavjee (MIE, 2022)

Improving Shared Decision-Making Using Cognitive Effort-Optimization. - Armin Darvishzadeh Sayadi; Karim Keshavjee; Helen Monkman; Aziz Guergachi; Alessia Paglialonga (MIE, 2022)

Counterfactual Building and Evaluation via eXplainable Support Vector Data Description. - Alberto Carlevaro; Marta Lenatti; Alessia Paglialonga; Maurizio Mongelli (IEEE Access, 2022)

A Novel Approach for Segment-Length Selection Based on Stationarity to Perform Effective Connectivity Analysis Applied to Resting-State EEG Signals. - Leonardo Góngora; Alessia Paglialonga; Alfonso Mastropietro; Giovanna Rizzo; Riccardo Barbieri (Sensors, 2022)

A Screening Platform for Hearing Loss and Cognitive Decline: WHISPER (Widespread Hearing Impairment Screening and PrEvention of Risk). - Alessia Paglialonga; Edoardo Maria Polo; Marta Lenatti; Maximiliano Mollura; Riccardo Barbieri (EFMI-STC, 2023)

Multi-Input Multi-Output Dynamic Modelling of Type 2 Diabetes Progression. - Davide Simeone; Marta Lenatti; Constantino Lagoa; Karim Keshavjee; Aziz Guergachi; Fabrizio Dabbene; Alessia Paglialonga (EFMI-STC, 2023)

Exploring Emotional Responses in Virtual Reality Through Skin Conductance Signal. - Edoardo Maria Polo; Alberto Valdes Rey; Maximiliano Mollura; Alessia Paglialonga; Riccardo Barbieri (MetroXRAINE, 2023)

The Long-Term Effects of Physical Activity on Blood Glucose Regulation: A Model to Unravel Diabetes Progression. - Pierluigi Francesco De Paola; Alessia Paglialonga; Pasquale Palumbo; Karim Keshavjee; Fabrizio Dabbene; Alessandro Borri (IEEE Control. Syst. Lett., 2023)

Characterization of Inclination Analysis for Predicting Onset of Heart Failure from Primary Care Electronic Medical Records. - Federica Guida; Marta Lenatti; Karim Keshavjee; Alireza Khatami; Aziz Guergachi; Alessia Paglialonga (Sensors, 2023)

Dual-View Single-Shot Multibox Detector at Urban Intersections: Settings and Performance Evaluation. - Marta Lenatti; Sara Narteni; Alessia Paglialonga; Vittorio Rampa; Maurizio Mongelli (Sensors, 2023)

Applying Patient Segmentation Using Primary Care Electronic Medical Records to Develop a Virtual Peer-to-Peer Intervention for Patients with Type 2 Diabetes. - Alessia Paglialonga; Rebecca Theal; Bruce Knox; Robert Kyba; David Barber; Aziz Guergachi; Karim Keshavjee (Future Internet, 2023)

Characterization of Synthetic Health Data Using Rule-Based Artificial Intelligence Models. - Marta Lenatti; Alessia Paglialonga; Vanessa Orani; Melissa Ferretti; Maurizio Mongelli (IEEE J. Biomed. Health Informatics, 2023)

Polynomial approximation of regions of attraction via occupation measures: an application to a biological autonomous system. - Pierluigi Francesco De Paola; Alessandro Borri; Alessia Paglialonga; Pasquale Palumbo; Fabrizio Dabbene (CASE, 2024)

AI-CARE: Artificial Intelligence for Customized Adaptive Robot-Aided Rehabilitation. - Rita Molle; Christian Tamantini; Alessia Paglialonga; Davide Simeone; Leonardo Furia; Matteo Tortora; Clemente Lauretti; Giulio Iannello; Paolo Soda; Rosa Sicilia; Fabrizio Dabbene; Loredana Zollo (HFR, 2024)

Exploring Prediabetes Pathways Using Explainable AI on Data from Electronic Medical Records. - Davide Console; Marta Lenatti; Karim Keshavjee; Aziz Guergachi; Maurizio Mongelli; Alessia Paglialonga (MIE, 2024)

Federated Learning for Rule-Based Systems: Preliminary Studies. - Ahmad Samandari; Mario Marchese; Alessia Paglialonga; Fabio Patrone; Vittorio Rampa; Maurizio Mongelli (RTSI, 2024)

A novel mathematical model for predicting the benefits of physical activity on type 2 diabetes progression. - Pierluigi Francesco De Paola; Alessandro Borri; Fabrizio Dabbene; Karim Keshavjee; Pasquale Palumbo; Alessia Paglialonga (CoRR, 2024)

Advancements on IoT and AI applied to Pneumology. - Enrico Cambiaso; Sara Narteni; Ilaria Baiardini; Fulvio Braido; Alessia Paglialonga; Maurizio Mongelli (Microprocess. Microsystems, 2024)

Multiclass Counterfactual Explanations Using Support Vector Data Description. - Alberto Carlevaro; Marta Lenatti; Alessia Paglialonga; Maurizio Mongelli (IEEE Trans. Artif. Intell., 2024)

Counterfactual Inference Using Ordinary Differential Equations to Assess the Effect of Physical Activity on Type 2 Diabetes Onset. - Marta Lenatti; Marco Zaffalon; Alessandro Antonucci 001; Pierluigi Francesco De Paola; Lea Multerer; Maurizio Mongelli; Alessia Paglialonga; Laura Azzimonti (AIME (1), 2025)

Advancing emotion recognition with Virtual Reality: A multimodal approach using physiological signals and machine learning. - Edoardo Maria Polo; Francesco Iacomi; Alberto Valdes Rey; Davide Ferraris; Alessia Paglialonga; Riccardo Barbieri (Comput. Biol. Medicine, 2025)

Long-Term Diabetes Prevention via Physical Activity: An Output-Feedback MPC Approach. - Pierluigi Francesco De Paola; Alessandro Borri; Alessia Paglialonga; Fabrizio Dabbene; Pasquale Palumbo (IEEE Control. Syst. Lett., 2025)

Closed-loop robust control of long-term diabetes progression via physical activity management. - Pierluigi Francesco De Paola; Alessandro Borri; Fabrizio Dabbene; Pasquale Palumbo; Alessia Paglialonga (CoRR, 2025)

A control system framework for counterfactuals: an optimization based approach. - Pierluigi Francesco De Paola; Jared Miller; Alessandro Borri; Alessia Paglialonga; Fabrizio Dabbene (CoRR, 2025)

A Model-based Approach for Glucose Control via Physical Activity. - Pierluigi Francesco De Paola; Alessandro Borri; Alessia Paglialonga; Pasquale Palumbo; Fabrizio Dabbene (CoRR, 2025)

Data Standards in Audiology: A Mixed-Methods Exploration of Community Perspectives and Implementation Considerations. - Charlotte Vercammen; Antje Heinrich; Christophe Lesimple; Alessia Paglialonga; Jan-Willem A. Wasmann; Mareike Buhl (CoRR, 2025)