Riccardo Rosati

36 papers C 3Journal 21Unranked 11
YearRankTypeTitle / Venue / Authors
2026 J jnl
A novel multi-task multi-view approach with custom multi-label loss for fault detection in complex industrial apparatus.
Adv. Eng. Informatics
Riccardo Rosati, Lucia Pepa, Luca Romeo
2026 J jnl
Deep learning models for robust facial liveness detection.
Multim. Tools Appl.
Oleksandr Kuznetsov, Emanuele Frontoni, Luca Romeo, Riccardo Rosati, Andrea Maranesi, Alessandro Muscatello
2025 J jnl
An automated workflow based on UAV imagery and Deep Learning methods for monitoring excavation area work.
Integr. Comput. Aided Eng.
Riccardo Rosati, Matteo Fabiani, Roberto Pierdicca, Adriano Mancini
2025 J jnl
Challenging DINOv3 Foundation Model under Low Inter-Class Variability: A Case Study on Fetal Brain Ultrasound.
CoRR
Edoardo Conti, Riccardo Rosati, Lorenzo Federici, Adriano Mancini, Maria Chiara Fiorentin
2025 J jnl
Deep Learning Models for Robust Facial Liveness Detection.
CoRR
Oleksandr Kuznetsov, Emanuele Frontoni, Luca Romeo, Riccardo Rosati, Andrea Maranesi, Alessandro Muscatello
2025 J jnl
Forecasting and Early Warning System for Wastewater Treatment Plant Sensors Using Multitask and LSTM Neural Networks: A Simulated and Real-World Case Study.
Comput. Chem. Eng.
Nicolò Ciuccoli, Francesco Fatone, Massimiliano Sgroi, Anna Laura Eusebi, Riccardo Rosati, Laura Screpanti, Adriano Mancini, David Scaradozzi
2025 J jnl
Learning Ordinal-Hierarchical Constraints for Deep Learning Classifiers.
IEEE Trans. Neural Networks Learn. Syst.
Riccardo Rosati, Luca Romeo, Víctor Manuel Vargas, Pedro Antonio Gutiérrez, Emanuele Frontoni, César Hervás-Martínez
2025 J jnl
Single- and multi-task linear models for ATMs fault classification in human-centered predictive maintenance.
Comput. Ind. Eng.
Riccardo Rosati, Luca Romeo, Adriano Mancini
2024 — conf
A Multi-Task Deep Learning Approach for the Assessment of COVID-19 in Lung Ultrasound.
MetroXRAINE
Maria Chiara Fiorentino, Riccardo Rosati, Lorenzo Federici, Primo Zingaretti
2024 J jnl
An automated CAD-to-XR framework based on generative AI and Shrinkwrap modelling for a User-Centred design approach.
Adv. Eng. Informatics
Riccardo Rosati, Paolo Senesi, Barbara Lonzi, Adriano Mancini, Marco Mandolini
2024 J jnl
DeepReality: An open source framework to develop AI-based augmented reality applications.
Expert Syst. Appl.
Roberto Pierdicca, Flavio Tonetto, Marina Paolanti, Marco Mameli, Riccardo Rosati, Primo Zingaretti
2024 J jnl
Enhancing copy-move forgery detection through a novel CNN architecture and comprehensive dataset analysis.
Multim. Tools Appl.
Oleksandr Kuznetsov, Emanuele Frontoni, Luca Romeo, Riccardo Rosati
2024 J jnl
Generalizability and robustness evaluation of attribute-based zero-shot learning.
Neural Networks
Luca Rossi, Maria Chiara Fiorentino, Adriano Mancini, Marina Paolanti, Riccardo Rosati, Primo Zingaretti
2024 J jnl
Image steganalysis using deep learning models.
Multim. Tools Appl.
Alexandr Kuznetsov, Nicolas Luhanko, Emanuele Frontoni, Luca Romeo, Riccardo Rosati
2024 — conf
Improving Industrial Question Answering Chatbots with Domain-Specific LLMs Fine-Tuning.
MESA
Riccardo Rosati, Filippo Antonini, Nikhil Muralikrishna, Flavio Tonetto, Adriano Mancini
2024 — conf
Vision Transformer Approaches for COVID-19 Pneumonia Assessment in Lung Ultrasound Images.
MetroXRAINE
Maria Chiara Fiorentino, Riccardo Rosati, Andrian Melnic, Edoardo Conti, Primo Zingaretti
2023 J jnl
A hybrid feature learning approach based on convolutional kernels for ATM fault prediction using event-log data.
CoRR
Víctor Manuel Vargas, Riccardo Rosati, César Hervás-Martínez, Adriano Mancini, Luca Romeo, Pedro Antonio Gutiérrez
2023 J jnl
A hybrid feature learning approach based on convolutional kernels for ATM fault prediction using event-log data.
Eng. Appl. Artif. Intell.
Víctor Manuel Vargas, Riccardo Rosati, César Hervás-Martínez, Adriano Mancini, Luca Romeo, Pedro Antonio Gutiérrez
2023 C conf
Data augmentation strategy for generating realistic samples on defect segmentation task.
ISM
Massimo Martini, Riccardo Rosati, Luca Romeo, Adriano Mancini
2023 J jnl
Deep learning based hierarchical classifier for weapon stock aesthetic quality control assessment.
Comput. Ind.
Víctor Manuel Vargas, Pedro Antonio Gutiérrez, Riccardo Rosati, Luca Romeo, Emanuele Frontoni, César Hervás-Martínez
2023 J jnl
Exponential loss regularisation for encouraging ordinal constraint to shotgun stocks quality assessment.
Appl. Soft Comput.
Víctor Manuel Vargas, Pedro Antonio Gutiérrez, Riccardo Rosati, Luca Romeo, Emanuele Frontoni, César Hervás-Martínez
2023 J jnl
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.
J. Intell. Manuf.
Riccardo Rosati, Luca Romeo, Gianalberto Cecchini, Flavio Tonetto, Paolo Viti, Adriano Mancini, Emanuele Frontoni
2023 C conf
Mitigating Bias in Aesthetic Quality Control Tasks: An Adversarial Learning Approach.
ISM
Denis Bernovschi, Alex Giacomini, Riccardo Rosati, Luca Romeo
2023 — ed.
Proceedings of the 2nd Italian Workshop on Artificial Intelligence and Applications for Business and Industries (AIABI 2022) co-located with 21st International Conference of the Italian Association for Artificial Intelligence (AI*IA 2022), Online, originally held in Milan, Italy, December 2nd, 2022.
AIABI@AI*IA
Francesco Epifania, Luca Marconi, Ricardo A. Matamoros A., Riccardo Rosati, Emanuele Frontoni, Luca Romeo
2023 C conf
User-Centred Product Design with Photorealistic Virtual Prototypes: A Case Study on Process Optimisation for Aesthetic Quality Enhancement.
ISM
Paolo Senesi, Marco Mandolini, Barbara Lonzi, Riccardo Rosati
2022 J jnl
A novel deep ordinal classification approach for aesthetic quality control classification.
Neural Comput. Appl.
Riccardo Rosati, Luca Romeo, Víctor Manuel Vargas, Pedro Antonio Gutiérrez, César Hervás-Martínez, Emanuele Frontoni
2022 — conf
Can AI Replace Conventional Markerless Tracking? A Comparative Performance Study for Mobile Augmented Reality Based on Artificial Intelligence.
XR (2)
Roberto Pierdicca, Flavio Tonetto, Marco Mameli, Riccardo Rosati, Primo Zingaretti
2022 — conf
Predictive Maintenance of ATM Machines by Modelling Remaining Useful Life with Machine Learning Techniques.
SOCO
Riccardo Rosati, Luca Romeo, Víctor Manuel Vargas, Pedro Antonio Gutiérrez, César Hervás-Martínez, Lorenzo Bianchini, Alessandra Capriotti, Rosario Capparuccia, Emanuele Frontoni
2020 — conf
3D Human Pose Estimation Based on Multi-Input Multi-Output Convolutional Neural Network and Event Cameras: A Proof of Concept on the DHP19 Dataset.
ICPR Workshops (1)
Alessandro Manilii, Leonardo Lucarelli, Riccardo Rosati, Luca Romeo, Adriano Mancini, Emanuele Frontoni
2020 — conf
A Deep Learning-Based Approach for Automatic Leather Classification in Industry 4.0.
ICPR Workshops (4)
Giulia Pazzaglia, Massimo Martini, Riccardo Rosati, Luca Romeo, Emanuele Frontoni
2020 — conf
Bias from the Wild Industry 4.0: Are We Really Classifying the Quality or Shotgun Series?
ICPR Workshops (4)
Riccardo Rosati, Luca Romeo, Gianalberto Cecchini, Flavio Tonetto, Luca Perugini, Luca Ruggeri, Paolo Viti, Emanuele Frontoni
2020 J jnl
Faster R-CNN approach for detection and quantification of DNA damage in comet assay images.
Comput. Biol. Medicine
Riccardo Rosati, Luca Romeo, Sonia Silvestri, Fabio Marcheggiani, Luca Tiano, Emanuele Frontoni
2020 J jnl
Machine Learning in Capital Markets: Decision Support System for Outcome Analysis.
IEEE Access
Riccardo Rosati, Luca Romeo, Carlos Alfaro Goday, Tullio Menga, Emanuele Frontoni
2020 — conf
Measurement of Activities of Daily Living: a simulation tool for the optimisation of a Passive Infrared sensor network in a Smart Home environment.
I2MTC
Sara Casaccia, Riccardo Rosati, Lorenzo Scalise, Gian Marco Revel
2019 — conf
Towards the Design of a Machine Learning-based Consumer Healthcare Platform powered by Electronic Health Records and measurement of Lifestyle through Smartphone Data.
ISCT
Alessandro Ferri, Riccardo Rosati, Michele Bernardini, Leonardo Gabrielli, Sara Casaccia, Luca Romeo, Andrea Monteriù, Emanuele Frontoni
2017 — conf
Statistical baseline assessment in cardiotocography.
EMBC
Angela Agostinelli, Eleonora Braccili, Enrico Marchegiani, Riccardo Rosati, Agnese Sbrollini, Luca Burattini, Micaela Morettini, Francesco Di Nardo, Sandro Fioretti, Laura Burattini