Riccardo Rosati

According to our database, Riccardo Rosati authored at least 21 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Enhancing copy-move forgery detection through a novel CNN architecture and comprehensive dataset analysis.

Oleksandr Kuznetsov, Emanuele Frontoni, Luca Romeo, Riccardo Rosati

Multim. Tools Appl., June, 2024

Image steganalysis using deep learning models.

Alexandr Kuznetsov, Nicolas Luhanko, Emanuele Frontoni, Luca Romeo, Riccardo Rosati

Multim. Tools Appl., May, 2024

Generalizability and robustness evaluation of attribute-based zero-shot learning.

Luca Rossi, Maria Chiara Fiorentino, Adriano Mancini, Marina Paolanti, Riccardo Rosati, Primo Zingaretti

Neural Networks, 2024

DeepReality: An open source framework to develop AI-based augmented reality applications.

Roberto Pierdicca, Flavio Tonetto, Marina Paolanti, Marco Mameli, Riccardo Rosati, Primo Zingaretti

Expert Syst. Appl., 2024

An automated CAD-to-XR framework based on generative AI and Shrinkwrap modelling for a User-Centred design approach.

Riccardo Rosati, Paolo Senesi, Barbara Lonzi, Adriano Mancini, Marco Mandolini

Adv. Eng. Informatics, 2024

Improving Industrial Question Answering Chatbots with Domain-Specific LLMs Fine-Tuning.

Riccardo Rosati, Filippo Antonini, Nikhil Muralikrishna, Flavio Tonetto, Adriano Mancini

Proceedings of the 20th IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications, 2024

2023

Exponential loss regularisation for encouraging ordinal constraint to shotgun stocks quality assessment.

Víctor Manuel Vargas, Pedro Antonio Gutiérrez, Riccardo Rosati, Luca Romeo, Emanuele Frontoni, César Hervás-Martínez

Appl. Soft Comput., May, 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, Luca Romeo, Gianalberto Cecchini, Flavio Tonetto, Paolo Viti, Adriano Mancini, Emanuele Frontoni

J. Intell. Manuf., 2023

A hybrid feature learning approach based on convolutional kernels for ATM fault prediction using event-log data.

Víctor Manuel Vargas, Riccardo Rosati, César Hervás-Martínez, Adriano Mancini, Luca Romeo, Pedro Antonio Gutiérrez

Eng. Appl. Artif. Intell., 2023

Deep learning based hierarchical classifier for weapon stock aesthetic quality control assessment.

Víctor Manuel Vargas, Pedro Antonio Gutiérrez, Riccardo Rosati, Luca Romeo, Emanuele Frontoni, César Hervás-Martínez

Comput. Ind., 2023

2022

A novel deep ordinal classification approach for aesthetic quality control classification.

Riccardo Rosati, Luca Romeo, Víctor Manuel Vargas, Pedro Antonio Gutiérrez, César Hervás-Martínez, Emanuele Frontoni

Neural Comput. Appl., 2022

Predictive Maintenance of ATM Machines by Modelling Remaining Useful Life with Machine Learning Techniques.

Riccardo Rosati, Luca Romeo, Víctor Manuel Vargas, Pedro Antonio Gutiérrez, César Hervás-Martínez, Lorenzo Bianchini, Alessandra Capriotti, Rosario Capparuccia, Emanuele Frontoni

Proceedings of the 17th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2022), 2022

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, Primo Zingaretti

Proceedings of the Extended Reality - First International Conference, 2022

2020

Faster R-CNN approach for detection and quantification of DNA damage in comet assay images.

Riccardo Rosati, Luca Romeo, Sonia Silvestri, Fabio Marcheggiani, Luca Tiano, Emanuele Frontoni

Comput. Biol. Medicine, 2020

Machine Learning in Capital Markets: Decision Support System for Outcome Analysis.

Riccardo Rosati, Luca Romeo, Carlos Alfaro Goday, Tullio Menga, Emanuele Frontoni

IEEE Access, 2020

Bias from the Wild Industry 4.0: Are We Really Classifying the Quality or Shotgun Series?

Riccardo Rosati, Luca Romeo, Gianalberto Cecchini, Flavio Tonetto, Luca Perugini, Luca Ruggeri, Paolo Viti, Emanuele Frontoni

Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020

A Deep Learning-Based Approach for Automatic Leather Classification in Industry 4.0.

Giulia Pazzaglia, Massimo Martini, Riccardo Rosati, Luca Romeo, Emanuele Frontoni

Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 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, Luca Romeo, Adriano Mancini, Emanuele Frontoni

Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020

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, Lorenzo Scalise, Gian Marco Revel

Proceedings of the 2020 IEEE International Instrumentation and Measurement Technology Conference, 2020

2019

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, Michele Bernardini, Leonardo Gabrielli, Sara Casaccia, Luca Romeo, Andrea Monteriù, Emanuele Frontoni

Proceedings of the IEEE 23rd International Symposium on Consumer Technologies, 2019

2017

Statistical baseline assessment in cardiotocography.

Angela Agostinelli, Eleonora Braccili, Enrico Marchegiani, Riccardo Rosati, Agnese Sbrollini, Luca Burattini, Micaela Morettini, Francesco Di Nardo, Sandro Fioretti, Laura Burattini

Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017