Statistical baseline assessment in cardiotocography. - Angela Agostinelli; Eleonora Braccili; Enrico Marchegiani; Riccardo Rosati 002; Agnese Sbrollini; Luca Burattini; Micaela Morettini; Francesco Di Nardo; Sandro Fioretti; Laura Burattini (EMBC, 2017)

Towards the Design of a Machine Learning-based Consumer Healthcare Platform powered by Electronic Health Records and measurement of Lifestyle through Smartphone Data. - Alessandro Ferri; Riccardo Rosati 002; Michele Bernardini; Leonardo Gabrielli; Sara Casaccia; Luca Romeo; Andrea Monteriù; Emanuele Frontoni (ISCT, 2019)

Measurement of Activities of Daily Living: a simulation tool for the optimisation of a Passive Infrared sensor network in a Smart Home environment. - Sara Casaccia; Riccardo Rosati 002; Lorenzo Scalise; Gian Marco Revel (I2MTC, 2020)

3D Human Pose Estimation Based on Multi-Input Multi-Output Convolutional Neural Network and Event Cameras: A Proof of Concept on the DHP19 Dataset. - Alessandro Manilii; Leonardo Lucarelli; Riccardo Rosati 002; Luca Romeo; Adriano Mancini; Emanuele Frontoni (ICPR Workshops (1), 2020)

A Deep Learning-Based Approach for Automatic Leather Classification in Industry 4.0. - Giulia Pazzaglia; Massimo Martini; Riccardo Rosati 002; Luca Romeo; Emanuele Frontoni (ICPR Workshops (4), 2020)

Bias from the Wild Industry 4.0: Are We Really Classifying the Quality or Shotgun Series? - Riccardo Rosati 002; Luca Romeo; Gianalberto Cecchini; Flavio Tonetto; Luca Perugini; Luca Ruggeri; Paolo Viti; Emanuele Frontoni (ICPR Workshops (4), 2020)

Machine Learning in Capital Markets: Decision Support System for Outcome Analysis. - Riccardo Rosati 002; Luca Romeo; Carlos Alfaro Goday; Tullio Menga; Emanuele Frontoni (IEEE Access, 2020)

Faster R-CNN approach for detection and quantification of DNA damage in comet assay images. - Riccardo Rosati 002; Luca Romeo; Sonia Silvestri; Fabio Marcheggiani; Luca Tiano; Emanuele Frontoni (Comput. Biol. Medicine, 2020)

Can AI Replace Conventional Markerless Tracking? A Comparative Performance Study for Mobile Augmented Reality Based on Artificial Intelligence. - Roberto Pierdicca; Flavio Tonetto; Marco Mameli; Riccardo Rosati 002; Primo Zingaretti (XR (2), 2022)

Predictive Maintenance of ATM Machines by Modelling Remaining Useful Life with Machine Learning Techniques. - Riccardo Rosati 002; Luca Romeo; Víctor Manuel Vargas; Pedro Antonio Gutiérrez; César Hervás-Martínez; Lorenzo Bianchini; Alessandra Capriotti; Rosario Capparuccia; Emanuele Frontoni (SOCO, 2022)

A novel deep ordinal classification approach for aesthetic quality control classification. - Riccardo Rosati 002; Luca Romeo; Víctor Manuel Vargas; Pedro Antonio Gutiérrez; César Hervás-Martínez; Emanuele Frontoni (Neural Comput. Appl., 2022)

Mitigating Bias in Aesthetic Quality Control Tasks: An Adversarial Learning Approach. - Denis Bernovschi; Alex Giacomini; Riccardo Rosati 002; Luca Romeo (ISM, 2023)

Data augmentation strategy for generating realistic samples on defect segmentation task. - Massimo Martini; Riccardo Rosati 002; Luca Romeo; Adriano Mancini (ISM, 2023)

User-Centred Product Design with Photorealistic Virtual Prototypes: A Case Study on Process Optimisation for Aesthetic Quality Enhancement. - Paolo Senesi; Marco Mandolini; Barbara Lonzi; Riccardo Rosati 002 (ISM, 2023)

Deep learning based hierarchical classifier for weapon stock aesthetic quality control assessment. - Víctor Manuel Vargas; Pedro Antonio Gutiérrez; Riccardo Rosati 002; Luca Romeo; Emanuele Frontoni; César Hervás-Martínez (Comput. Ind., 2023)

A hybrid feature learning approach based on convolutional kernels for ATM fault prediction using event-log data. - Víctor Manuel Vargas; Riccardo Rosati 002; César Hervás-Martínez; Adriano Mancini; Luca Romeo; Pedro Antonio Gutiérrez (Eng. Appl. Artif. Intell., 2023)

From knowledge-based to big data analytic model: a novel IoT and machine learning based decision support system for predictive maintenance in Industry 4.0. - Riccardo Rosati 002; Luca Romeo; Gianalberto Cecchini; Flavio Tonetto; Paolo Viti; Adriano Mancini; Emanuele Frontoni (J. Intell. Manuf., 2023)

Exponential loss regularisation for encouraging ordinal constraint to shotgun stocks quality assessment. - Víctor Manuel Vargas; Pedro Antonio Gutiérrez; Riccardo Rosati 002; Luca Romeo; Emanuele Frontoni; César Hervás-Martínez (Appl. Soft Comput., 2023)

Improving Industrial Question Answering Chatbots with Domain-Specific LLMs Fine-Tuning. - Riccardo Rosati 002; Filippo Antonini; Nikhil Muralikrishna; Flavio Tonetto; Adriano Mancini (MESA, 2024)

A Multi-Task Deep Learning Approach for the Assessment of COVID-19 in Lung Ultrasound. - Maria Chiara Fiorentino; Riccardo Rosati 002; Lorenzo Federici; Primo Zingaretti (MetroXRAINE, 2024)

Vision Transformer Approaches for COVID-19 Pneumonia Assessment in Lung Ultrasound Images. - Maria Chiara Fiorentino; Riccardo Rosati 002; Andrian Melnic; Edoardo Conti; Primo Zingaretti (MetroXRAINE, 2024)

An automated CAD-to-XR framework based on generative AI and Shrinkwrap modelling for a User-Centred design approach. - Riccardo Rosati 002; Paolo Senesi; Barbara Lonzi; Adriano Mancini; Marco Mandolini (Adv. Eng. Informatics, 2024)

DeepReality: An open source framework to develop AI-based augmented reality applications. - Roberto Pierdicca; Flavio Tonetto; Marina Paolanti; Marco Mameli; Riccardo Rosati 002; Primo Zingaretti (Expert Syst. Appl., 2024)

Generalizability and robustness evaluation of attribute-based zero-shot learning. - Luca Rossi 007; Maria Chiara Fiorentino; Adriano Mancini; Marina Paolanti; Riccardo Rosati 002; Primo Zingaretti (Neural Networks, 2024)

Image steganalysis using deep learning models. - Alexandr Kuznetsov; Nicolas Luhanko; Emanuele Frontoni; Luca Romeo; Riccardo Rosati 002 (Multim. Tools Appl., 2024)

Enhancing copy-move forgery detection through a novel CNN architecture and comprehensive dataset analysis. - Oleksandr Kuznetsov; Emanuele Frontoni; Luca Romeo; Riccardo Rosati 002 (Multim. Tools Appl., 2024)

Single- and multi-task linear models for ATMs fault classification in human-centered predictive maintenance. - Riccardo Rosati 002; Luca Romeo; Adriano Mancini (Comput. Ind. Eng., 2025)

Forecasting and Early Warning System for Wastewater Treatment Plant Sensors Using Multitask and LSTM Neural Networks: A Simulated and Real-World Case Study. - Nicolò Ciuccoli; Francesco Fatone; Massimiliano Sgroi; Anna Laura Eusebi; Riccardo Rosati 002; Laura Screpanti; Adriano Mancini; David Scaradozzi (Comput. Chem. Eng., 2025)

An automated workflow based on UAV imagery and Deep Learning methods for monitoring excavation area work. - Riccardo Rosati 002; Matteo Fabiani; Roberto Pierdicca; Adriano Mancini (Integr. Comput. Aided Eng., 2025)

Learning Ordinal-Hierarchical Constraints for Deep Learning Classifiers. - Riccardo Rosati 002; Luca Romeo; Víctor Manuel Vargas; Pedro Antonio Gutiérrez; Emanuele Frontoni; César Hervás-Martínez (IEEE Trans. Neural Networks Learn. Syst., 2025)

Deep Learning Models for Robust Facial Liveness Detection. - Oleksandr Kuznetsov; Emanuele Frontoni; Luca Romeo; Riccardo Rosati 002; Andrea Maranesi; Alessandro Muscatello (CoRR, 2025)