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ORCIDRiccardo Rosati 0002
Person information
- affiliation: Università Politecnica delle Marche, Ancona, Italy
Other persons with the same name
- Riccardo Rosati 0001
![[0000-0002-7697-4958]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0002-7697-4958")
— Sapienza University of Rome, Italy
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Journal Articles
- 2025
[j16]Riccardo Rosati, Luca Romeo, Adriano Mancini:
Single- and multi-task linear models for ATMs fault classification in human-centered predictive maintenance. Comput. Ind. Eng. 200: 110763 (2025)- [j15]Nicolò Ciuccoli, Francesco Fatone, Massimiliano Sgroi, Anna Laura Eusebi, Riccardo Rosati, Laura Screpanti, Adriano Mancini, David Scaradozzi:
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. 198: 109103 (2025) - [j14]Riccardo Rosati, Matteo Fabiani, Roberto Pierdicca, Adriano Mancini:
An automated workflow based on UAV imagery and Deep Learning methods for monitoring excavation area work. Integr. Comput. Aided Eng. 32(3): 272-291 (2025) - [j13]Riccardo Rosati, Luca Romeo, Víctor Manuel Vargas, Pedro Antonio Gutiérrez, Emanuele Frontoni, César Hervás-Martínez:
Learning Ordinal-Hierarchical Constraints for Deep Learning Classifiers. IEEE Trans. Neural Networks Learn. Syst. 36(3): 4765-4778 (2025) - 2024
- [j12]Riccardo Rosati, Paolo Senesi, Barbara Lonzi, Adriano Mancini, Marco Mandolini:
An automated CAD-to-XR framework based on generative AI and Shrinkwrap modelling for a User-Centred design approach. Adv. Eng. Informatics 62: 102848 (2024) - [j11]Roberto Pierdicca, Flavio Tonetto, Marina Paolanti, Marco Mameli, Riccardo Rosati, Primo Zingaretti:
DeepReality: An open source framework to develop AI-based augmented reality applications. Expert Syst. Appl. 249: 123530 (2024) - [j10]Alexandr Kuznetsov, Nicolas Luhanko, Emanuele Frontoni, Luca Romeo, Riccardo Rosati:
Image steganalysis using deep learning models. Multim. Tools Appl. 83(16): 48607-48630 (2024) - [j9]Oleksandr Kuznetsov, Emanuele Frontoni, Luca Romeo, Riccardo Rosati:
Enhancing copy-move forgery detection through a novel CNN architecture and comprehensive dataset analysis. Multim. Tools Appl. 83(21): 59783-59817 (2024) - [j8]Luca Rossi, Maria Chiara Fiorentino, Adriano Mancini, Marina Paolanti, Riccardo Rosati, Primo Zingaretti:
Generalizability and robustness evaluation of attribute-based zero-shot learning. Neural Networks 175: 106278 (2024) - 2023
- [j7]Víctor Manuel Vargas, Pedro Antonio Gutiérrez, Riccardo Rosati, Luca Romeo, Emanuele Frontoni, César Hervás-Martínez:
Exponential loss regularisation for encouraging ordinal constraint to shotgun stocks quality assessment. Appl. Soft Comput. 138: 110191 (2023) - [j6]Víctor Manuel Vargas, Pedro Antonio Gutiérrez, Riccardo Rosati, Luca Romeo, Emanuele Frontoni, César Hervás-Martínez:
Deep learning based hierarchical classifier for weapon stock aesthetic quality control assessment. Comput. Ind. 144: 103786 (2023) - [j5]Víctor Manuel Vargas, Riccardo Rosati, César Hervás-Martínez, Adriano Mancini, Luca Romeo, Pedro Antonio Gutiérrez:
A hybrid feature learning approach based on convolutional kernels for ATM fault prediction using event-log data. Eng. Appl. Artif. Intell. 123(Part C): 106463 (2023) - [j4]Riccardo Rosati, Luca Romeo, Gianalberto Cecchini, Flavio Tonetto, Paolo Viti, Adriano Mancini, Emanuele Frontoni:
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. 34(1): 107-121 (2023) - 2022
- [j3]Riccardo Rosati, Luca Romeo, Víctor Manuel Vargas, Pedro Antonio Gutiérrez, César Hervás-Martínez, Emanuele Frontoni:
A novel deep ordinal classification approach for aesthetic quality control classification. Neural Comput. Appl. 34(14): 11625-11639 (2022) - 2020
- [j2]Riccardo Rosati, Luca Romeo, Carlos Alfaro Goday, Tullio Menga, Emanuele Frontoni:
Machine Learning in Capital Markets: Decision Support System for Outcome Analysis. IEEE Access 8: 109080-109091 (2020) - [j1]Riccardo Rosati, Luca Romeo, Sonia Silvestri, Fabio Marcheggiani, Luca Tiano, Emanuele Frontoni:
Faster R-CNN approach for detection and quantification of DNA damage in comet assay images. Comput. Biol. Medicine 123: 103912 (2020)
Conference and Workshop Papers
- 2024
- [c14]Riccardo Rosati, Filippo Antonini, Nikhil Muralikrishna, Flavio Tonetto, Adriano Mancini:
Improving Industrial Question Answering Chatbots with Domain-Specific LLMs Fine-Tuning. MESA 2024: 1-7 - [c13]Maria Chiara Fiorentino, Riccardo Rosati, Lorenzo Federici, Primo Zingaretti:
A Multi-Task Deep Learning Approach for the Assessment of COVID-19 in Lung Ultrasound. MetroXRAINE 2024: 77-82 - [c12]Maria Chiara Fiorentino, Riccardo Rosati, Andrian Melnic, Edoardo Conti, Primo Zingaretti:
Vision Transformer Approaches for COVID-19 Pneumonia Assessment in Lung Ultrasound Images. MetroXRAINE 2024: 83-88 - 2023
- [c11]Denis Bernovschi, Alex Giacomini, Riccardo Rosati, Luca Romeo:
Mitigating Bias in Aesthetic Quality Control Tasks: An Adversarial Learning Approach. ISM 2023: 719-725 - [c10]Paolo Senesi, Marco Mandolini, Barbara Lonzi, Riccardo Rosati:
User-Centred Product Design with Photorealistic Virtual Prototypes: A Case Study on Process Optimisation for Aesthetic Quality Enhancement. ISM 2023: 831-838 - [c9]Massimo Martini, Riccardo Rosati, Luca Romeo, Adriano Mancini:
Data augmentation strategy for generating realistic samples on defect segmentation task. ISM 2023: 1597-1606 - 2022
- [c8]Roberto Pierdicca, Flavio Tonetto, Marco Mameli, Riccardo Rosati, Primo Zingaretti:
Can AI Replace Conventional Markerless Tracking? A Comparative Performance Study for Mobile Augmented Reality Based on Artificial Intelligence. XR (2) 2022: 161-177 - [c7]Riccardo Rosati, Luca Romeo, Víctor Manuel Vargas, Pedro Antonio Gutiérrez, César Hervás-Martínez, Lorenzo Bianchini, Alessandra Capriotti, Rosario Capparuccia, Emanuele Frontoni:
Predictive Maintenance of ATM Machines by Modelling Remaining Useful Life with Machine Learning Techniques. SOCO 2022: 239-249 - 2020
- [c6]Sara Casaccia, Riccardo Rosati, Lorenzo Scalise, Gian Marco Revel:
Measurement of Activities of Daily Living: a simulation tool for the optimisation of a Passive Infrared sensor network in a Smart Home environment. I2MTC 2020: 1-6 - [c5]Alessandro Manilii, Leonardo Lucarelli, Riccardo Rosati, Luca Romeo, Adriano Mancini, Emanuele Frontoni:
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) 2020: 14-25 - [c4]Riccardo Rosati, Luca Romeo, Gianalberto Cecchini, Flavio Tonetto, Luca Perugini, Luca Ruggeri, Paolo Viti, Emanuele Frontoni:
Bias from the Wild Industry 4.0: Are We Really Classifying the Quality or Shotgun Series? ICPR Workshops (4) 2020: 637-649 - [c3]Giulia Pazzaglia, Massimo Martini, Riccardo Rosati, Luca Romeo, Emanuele Frontoni:
A Deep Learning-Based Approach for Automatic Leather Classification in Industry 4.0. ICPR Workshops (4) 2020: 662-674 - 2019
- [c2]Alessandro Ferri, Riccardo Rosati, Michele Bernardini, Leonardo Gabrielli, Sara Casaccia, Luca Romeo, Andrea Monteriù, Emanuele Frontoni:
Towards the Design of a Machine Learning-based Consumer Healthcare Platform powered by Electronic Health Records and measurement of Lifestyle through Smartphone Data. ISCT 2019: 37-40 - 2017
- [c1]Angela Agostinelli, Eleonora Braccili, Enrico Marchegiani, Riccardo Rosati, Agnese Sbrollini, Luca Burattini, Micaela Morettini, Francesco Di Nardo, Sandro Fioretti, Laura Burattini:
Statistical baseline assessment in cardiotocography. EMBC 2017: 3166-3169
Editorship
- 2023
- [e1]Francesco Epifania, Luca Marconi, Ricardo A. Matamoros A., Riccardo Rosati, Emanuele Frontoni, Luca Romeo:
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. CEUR Workshop Proceedings 3463, CEUR-WS.org 2023 [contents]
Informal and Other Publications
- 2025
- [i3]Oleksandr Kuznetsov, Emanuele Frontoni, Luca Romeo, Riccardo Rosati, Andrea Maranesi, Alessandro Muscatello:
Deep Learning Models for Robust Facial Liveness Detection. CoRR abs/2508.09094 (2025) - [i2]Edoardo Conti, Riccardo Rosati, Lorenzo Federici, Adriano Mancini, Maria Chiara Fiorentin:
Challenging DINOv3 Foundation Model under Low Inter-Class Variability: A Case Study on Fetal Brain Ultrasound. CoRR abs/2511.01915 (2025) - 2023
- [i1]Víctor Manuel Vargas, Riccardo Rosati, César Hervás-Martínez, Adriano Mancini, Luca Romeo, Pedro Antonio Gutiérrez:
A hybrid feature learning approach based on convolutional kernels for ATM fault prediction using event-log data. CoRR abs/2305.10059 (2023)
Coauthor Index
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