Early Experiences in COPD Exacerbation Detection. - Mario Merone; Leonardo Onofri; Paolo Soda; Claudio Pedone; Raffaele Antonelli Incalzi; Giulio Iannello (CBMS, 2014)

On the remote detection of COPD-related worrisome events. - Mario Merone; Leonardo Onofri; Claudio Pedone; Angela M. Bussu; Barbara F. M. Rubiu; Giuseppe Capasso; Silvano Salaris; Giulio Iannello; Raffaele Antonelli Incalzi; Paolo Soda (BHI, 2016)

On Using Active Contour to Segment HEp-2 Cells. - Mario Merone; Paolo Soda (CBMS, 2016)

ECG databases for biometric systems: A systematic review. - Mario Merone; Paolo Soda; Mario Sansone; Carlo Sansone (Expert Syst. Appl., 2017)

A Decision Support System for Tele-Monitoring COPD-Related Worrisome Events. - Mario Merone; Claudio Pedone; Giuseppe Capasso; Raffaele Antonelli Incalzi; Paolo Soda (IEEE J. Biomed. Health Informatics, 2017)

Early experiences in 4D quantitative analysis of insulin granules in living beta-cells. - Ermanno Cordelli; Mario Merone; Flavio Di Giacinto; Bareket Daniel; Giuseppe Maulucci; Shlomo Sasson; Paolo Soda (BIBM, 2018)

Discovering COPD phenotyping via simultaneous feature selection and clustering. - Mario Merone; Panaiotis Finamore; Claudio Pedone; Raffaele Antonelli Incalzi; Giulio Iannello; Paolo Soda (BIBM, 2018)

Cross-topic Rumour Detection in the Health Domain. - Rosa Sicilia; Mario Merone; Roberto Valenti; Ermanno Cordelli; Federico D'Antoni; Vincenzo De Ruvo; Patrizia Benedetta Dragone; Sara Esposito; Paolo Soda (BIBM, 2018)

Hospital 4.0 and Its Innovation in Methodologies and Technologies. - Pierangelo Afferni; Mario Merone; Paolo Soda (CBMS, 2018)

Measurement system based on RBG camera signal for contactless breathing pattern and respiratory rate monitoring. - Carlo Massaroni; Emiliano Schena; Sergio Silvestri; Fabrizio Taffoni; Mario Merone (MeMeA, 2018)

Early Experience in Forecasting Blood Glucose Levels Using a Delayed and Auto-Regressive Jump Neural Network. - Federico D'Antoni; Mario Merone; Vincenzo Piemonte; Paolo Pozzilli; Giulio Iannello; Paolo Soda (ICCI*CC, 2019)

Early Radiomic Experiences in Classifying Prostate Cancer Aggressiveness using 3D Local Binary Patterns. - Rosa Sicilia; Ermanno Cordelli; Mario Merone; Elia Luperto; Rocco Papalia; Giulio Iannello; Paolo Soda (CBMS, 2019)

A computer-aided diagnosis system for HEp-2 fluorescence intensity classification. - Mario Merone; Carlo Sansone; Paolo Soda (Artif. Intell. Medicine, 2019)

Tackling imbalance radiomics in acoustic neuroma. - Natascha Claudia D'Amico; Mario Merone; Rosa Sicilia; Ermanno Cordelli; Federico D'Antoni; Isa Bossi Zanetti; Giovanni Valbusa; Enzo Grossi; Giancarlo Beltramo; Deborah Fazzini; Giuseppe Scotti; Giulio Iannello; et al. (Int. J. Data Min. Bioinform., 2019)

A Machine Learning approach for Sentiment Analysis for Italian Reviews in Healthcare. - Luca Bacco; Andrea Cimino; Luca Paulon; Mario Merone; Felice Dell'Orletta (CLiC-it, 2020)

A Body Hydration Analysis System to improve running performance. - Valerio Lapadula; Anna Sabatini; Alessandro Zompanti; Silvia Buscaglione; Davide Lanaro; Mario Merone (MetroInd4.0&IoT, 2020)

Auto-Regressive Time Delayed jump neural network for blood glucose levels forecasting. - Federico D'Antoni; Mario Merone; Vincenzo Piemonte; Giulio Iannello; Paolo Soda (Knowl. Based Syst., 2020)

Extractive Summarization for Explainable Sentiment Analysis using Transformers. - Luca Bacco; Andrea Cimino; Felice Dell'Orletta; Mario Merone (DeepOntoNLP/X-SENTIMENT@ESWC, 2021)

Edge computing optimization method. Analyzed task: crowd counting. - Alessandro Graziosi; Giulio Iannello; Valerio Lapadula; Mario Merone; Marco Sabatini; Luca Vollero (MetroInd4.0&IoT, 2021)

Image sensors and VPU acceleration for data analysis and classification. - Lorenzo Petrosino; Giulio Iannello; Mario Merone; Luca Vollero (MetroInd4.0&IoT, 2021)

Single beat ECG-based Identification System: development and robustness test in different working conditions. - Riccardo Sorvillo; Luca Bacco; Mario Merone; Alessandro Zompanti; Marco Santonico; Giorgio Pennazza; Giulio Iannello (MetroInd4.0&IoT, 2021)

Rule-based space characterization for rumour detection in health. - Rosa Sicilia; Mario Merone; Roberto Valenti; Paolo Soda (Eng. Appl. Artif. Intell., 2021)

Framework for IoT ecosystems based on distributed ledger technologies and decentralized identifiers. - Giordano Pescetelli; Lorenzo Petrosino; Stefano Della Valle; Giulia Ronga; Mario Merone; Luca Vollero (MetroInd4.0& IoT, 2022)

A multi-expert ensemble system for predicting Alzheimer transition using clinical features. - Mario Merone; Sebastian Luca D'Addario; Pierandrea Mirino; Francesca Bertino; Cecilia Guariglia; Rossella Ventura; Adriano Capirchio; Gianluca Baldassarre; Massimo Silvetti; Daniele Caligiore (Brain Informatics, 2022)

IoT architecture for continuous long term monitoring: Parkinson's Disease case study. - Onorato d'Angelis; Lazzaro di Biase; Luca Vollero; Mario Merone (Internet Things, 2022)

A Practical Approach to the Analysis and Optimization of Neural Networks on Embedded Systems. - Mario Merone; Alessandro Graziosi; Valerio Lapadula; Lorenzo Petrosino; Onorato d'Angelis; Luca Vollero (Sensors, 2022)

Identification of the Optimal Meal Detection Strategy for Adults, Adolescents, and Children with Type 1 Diabetes: an in Silico Validation. - Federico D'Antoni; Martina Bertazzoni; Luca Vollero; Mario Merone (COMPSAC, 2023)

Application of process mining in the management of inpatient analysis. - Onorato d'Angelis; Valerio Lapadula; Manuel Iacuitto; Dhurata Ivziku; Anna Sabatini; Luca Vollero; Mario Merone (MeMeA, 2023)

Postural Data Analysis using AI-powered Classification Models. - Luca Bacco; Matteo Coletta; Martina Zaltieri; Daniela Lo Presti; Carlo Massaroni; Emiliano Schena; Mario Merone (MetroInd4.0&IoT, 2023)

Photoplethysmographic Signal Quality Assessment: a Comparative Study of Unsupervised and Supervised Neural Networks. - Anna Sabatini; Luca Bacco; Leonardo Lotini; Giovanni Palombo; Giulia Di Tomaso; Riccardo Sabbadini; Mario Merone; Luca Vollero (MetroInd4.0&IoT, 2023)

Natural Language Processing in Healthcare: A Bird's Eye View (short paper). - Luca Bacco; Felice Dell'Orletta; Mario Merone (NL4AI@AI*IA, 2023)

Layered Meta-Learning Algorithm for Predicting Adverse Events in Type 1 Diabetes. - Federico D'Antoni; Lorenzo Petrosino; Alessandro Marchetti; Luca Bacco; Silvia Pieralice; Luca Vollero; Paolo Pozzilli; Vincenzo Piemonte; Mario Merone (IEEE Access, 2023)

Advancing ECG Biometrics Through Vision Transformers: A Confidence-Driven Approach. - Onorato d'Angelis; Luca Bacco; Luca Vollero; Mario Merone (IEEE Access, 2023)

On the instability of further pre-training: Does a single sentence matter to BERT? - Luca Bacco; Gosse Minnema; Tommaso Caselli; Felice Dell'Orletta; Mario Merone; Malvina Nissim (Nat. Lang. Process. J., 2023)

A New Glycemic closed-loop control based on Dyna-Q for Type-1-Diabetes. - Silvia Del Giorno; Federico D'Antoni; Vincenzo Piemonte; Mario Merone (Biomed. Signal Process. Control., 2023)

A text style transfer system for reducing the physician-patient expertise gap: An analysis with automatic and human evaluations. - Luca Bacco; Felice Dell'Orletta; Huiyuan Lai; Mario Merone; Malvina Nissim (Expert Syst. Appl., 2023)

Sleeping Posture Classification Through a Multi-Sensing Smart Mattress Based On Fiber Bragg Grating Sensors: A Feasibility Study. - Federico D'Antoni; Francesca De Tommasi; Giampiero Bartolomei; Daniela Lo Presti; Luca Vollero; Sergio Silvestri; Emiliano Schena; Mario Merone; Carlo Massaroni (MetroInd4.0 & IoT, 2024)

Investigating Stock Prediction Using LSTM Networks and Sentiment Analysis of Tweets Under High Uncertainty: A Case Study of North American and European Banks. - Luca Bacco; Lorenzo Petrosino; Domenico Arganese; Luca Vollero; Marco Papi; Mario Merone (IEEE Access, 2024)

A Benchmarking on Optofluidic Microplastic Pattern Recognition: A Systematic Comparison Between Statistical Detection Models and ML-Based Algorithms. - Daniele Sasso; Mario Merone; Eleonora Nicolai; Luca Vollero; Anna Sabatini (IEEE Access, 2024)

From pre-training to fine-tuning: An in-depth analysis of Large Language Models in the biomedical domain. - Agnese Bonfigli; Luca Bacco; Mario Merone; Felice Dell'Orletta (Artif. Intell. Medicine, 2024)

dRAIN: A Distributed Reliable Architecture for IoT Networks. - Lorenzo Petrosino; Giordano Pescetelli; Quirino Fieramosca; Stefano Della Valle; Mario Merone; Luca Vollero (IEEE Internet Things J., 2024)

Learning Nonlinear Systems via Volterra Series and Hilbert-Schmidt Operators. - Filippo Cacace; Vittorio De Iuliis; Alfredo Germani; Mario Merone (IEEE Trans. Autom. Control., 2024)

Combining Fiber Bragg Grating and Artificial Intelligence Technologies for Supporting Epidural Procedures. - Martina Pulcinelli; Federico D'Antoni; Daniela Lo Presti; Emiliano Schena; Massimiliano Carassiti; Francesca De Tommasi; Mario Merone (IEEE Trans. Biomed. Eng., 2024)

Artificial Intelligence for Non-Invasive Glucose Monitoring: ECG-Based Glycaemia Estimation in Type 1 Diabetes. - Claudia Ferraro; Federico D'Antoni; Lorenzo Petrosino; Filippo Crispino; Mario Merone; Leandro Pecchia (MetroInd4.0 & IoT, 2025)

Efficient Detection of Microplastics on Edge Devices With Tailored Compiler for TinyML Applications. - Alessandro Cerioli; Lorenzo Petrosino; Daniele Sasso; Clément Laroche; Tobias Piechowiak; Luca Pezzarossa; Mario Merone; Luca Vollero; Anna Sabatini (IEEE Access, 2025)

Efficient multi-task learning with instance selection for biomedical NLP. - Agnese Bonfigli; Luca Bacco; Leandro Pecchia; Mario Merone; Felice Dell'Orletta (Comput. Biol. Medicine, 2025)

Deep reinforcement learning for Type 1 Diabetes: Dual PPO controller for personalized insulin management. - Alessandro Marchetti; Daniele Sasso; Federico D'Antoni; Francesco Morandin; Maurizio Parton; Margherita A. G. Matarrese; Mario Merone (Comput. Biol. Medicine, 2025)

A zero-knowledge proof federated learning on DLT for healthcare data. - Lorenzo Petrosino; Luigi Masi; Federico D'Antoni; Mario Merone; Luca Vollero (J. Parallel Distributed Comput., 2025)

Cross-lingual distillation for domain knowledge transfer with sentence transformers. - Ruben Piperno; Luca Bacco; Felice Dell'Orletta; Mario Merone; Leandro Pecchia (Knowl. Based Syst., 2025)

A GARCH-temporal fusion transformer model for the volatility prediction of exchange traded funds. - Lorenzo Petrosino; Luca Bacco; Giuliano Salvati; Mario Merone; Marco Papi (Neural Comput. Appl., 2025)