Rosati Riccardo
Riccardo Rosati
Ricercatore T.D. (IINF-05/A)
- Contatti
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- E-mail riccardo.rosati@unimc.it
- E-mail r.rosati@univpm.it
Dipartimento di Scienze Politiche, della Comunicazione e delle Relazioni Internazionali
Dr. Riccardo Rosati is currently an Assistant Professor at the University of Macerata. He obtained his Ph.D. in Information Engineering from the Università Politecnica delle Marche in 2023. His research interests primarily focus on Machine Learning and Deep Learning, specifically in multitask, ordinal and hierarchical learning, and their applications in Industry 4.0/5.0 and biomedical domains. In 2023, he was a Visiting Researcher at the University of Córdoba (Spain) to advance his work on ordinal regression methodologies. He is the author of 30+ international scientific publications and serves as an Associate Editor for The Visual Computer (Springer Nature). He has extensive experience in technological transfer projects, collaborating with numerous international companies.
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2026
Conti, E., Rosati, R., Federici, L., Mancini, A., Fiorentino, M. C.,
Challenging DINOv3 foundation model under low inter-class variability: a case study on fetal brain ultrasound
in NEURAL COMPUTING & APPLICATIONS; 38; Berlin,
Springer Science and Business Media Deutschland GmbH;
pp. 1
- 15
(ISSN: 1433-3058)
01.01 Articolo in Rivista » scheda U-PAD -
2026
Duca, Graziano, Bucci, Andrea, Rosati, Riccardo, Romeo, Luca,
Generalizable Machine Learning for Corporate Bankruptcy Prediction: An XGBoost-Based Framework
in 2026 IEEE Conference on Artificial Intelligence, CAI 2026;
Institute of Electrical and Electronics Engineers Inc.;
pp. 570
- 576
04.01 Contributo in atti di convegno » scheda U-PAD -
2026
Fiorentino, Maria Chiara, Rosati, Riccardo, Conti, Edoardo, Tigano, Costantino, Mancini, Adriano,
From classification to landmark-aware identification: a multi-task multilabel approach for fetal brain ultrasound planes
in NEURAL COMPUTING & APPLICATIONS; 38; Berlin,
Springer Science and Business Media Deutschland GmbH;
pp. 1
- 20
(ISSN: 1433-3058)
01.01 Articolo in Rivista » scheda U-PAD -
2026
Kuznetsov, Oleksandr, Frontoni, Emanuele, Romeo, Luca, Rosati, Riccardo, Maranesi, Andrea, Muscatello, Alessandro,
Deep learning models for robust facial liveness detection
in MULTIMEDIA TOOLS AND APPLICATIONS; 85; Dordrecht,
Springer;
pp. 1
- 44
(ISSN: 1573-7721)
01.01 Articolo in Rivista » scheda U-PAD -
2026
Rosati, Riccardo, Pepa, Lucia, Romeo, Luca,
A novel multi-task multi-view approach with custom multi-label loss for fault detection in complex industrial apparatus
in ADVANCED ENGINEERING INFORMATICS; 73; Oxford,
Elsevier;
pp. 104592
- 104604
(ISSN: 1474-0346)
01.01 Articolo in Rivista » scheda U-PAD -
2025
Rosati, R., Regini, L., Pauls, A., Strafella, E., Raffaelli, F., Frontoni, E.,
Gamification in nutrition education: the impact and the acceptance of digital game-based intervention for improving nutritional habits
in JOURNAL OF COMPUTERS IN EDUCATION; 12.2; TIERGARTENSTRASSE 17, D-69121 HEIDELBERG, GERMANY,
Springer Science and Business Media Deutschland GmbH;
pp. 367
- 390
(ISSN: 2197-9987)
01.01 Articolo in Rivista » scheda U-PAD -
2025
Ciuccoli, N., Fatone, F., Sgroi, M., Eusebi, A. L., Rosati, R., Screpanti, L., Mancini, A., Scaradozzi, D.,
Forecasting and Early Warning System for Wastewater Treatment Plant Sensors Using Multitask and LSTM Neural Networks: A Simulated and Real-World Case Study
in COMPUTERS & CHEMICAL ENGINEERING; 198; THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND,
Elsevier Ltd;
pp. 1
- 13
(ISSN: 0098-1354)
01.01 Articolo in Rivista » scheda U-PAD -
2025
Rosati, Riccardo, Fabiani, Matteo, Pierdicca, Roberto, Mancini, Adriano,
An automated workflow based on UAV imagery and Deep Learning methods for monitoring excavation area work
in INTEGRATED COMPUTER-AIDED ENGINEERING; 32.3; 2455 TELLER RD, THOUSAND OAKS, CA 91320 USA,
SAGE PUBLICATIONS INC;
pp. 272
- 291
(ISSN: 1069-2509)
01.01 Articolo in Rivista » scheda U-PAD -
2025
Rosati, R., Romeo, L., Mancini, A.,
Single- and multi-task linear models for ATMs fault classification in human-centered predictive maintenance
in COMPUTERS & INDUSTRIAL ENGINEERING; 200; THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND,
Elsevier Ltd;
pp. 1
- 10
(ISSN: 0360-8352)
[» web resource]
01.01 Articolo in Rivista » scheda U-PAD -
2024
Rosati, Riccardo, Antonini, Filippo, Muralikrishna, Nikhil, Tonetto, Flavio, Mancini, Adriano,
Improving Industrial Question Answering Chatbots with Domain-Specific LLMs Fine-Tuning
in MESA 2024 - 20th International Conference on Mechatronic, Embedded Systems and Applications, Proceedings; 345 E 47TH ST, NEW YORK, NY 10017 USA,
Institute of Electrical and Electronics Engineers Inc.;
pp. 1
- 7
04.01 Contributo in atti di convegno » scheda U-PAD -
2024
Rossi, Luca, Chiara Fiorentino, Maria, Mancini, Adriano, Paolanti, Marina, Rosati, Riccardo, Zingaretti, Primo,
Generalizability and robustness evaluation of attribute-based zero-shot learning
in NEURAL NETWORKS; 175; Amsterdam,
Elsevier;
pp. 1
- 13
(ISSN: 0893-6080)
01.01 Articolo in Rivista » scheda U-PAD -
2024
Rosati, Riccardo, Romeo, Luca, Vargas, Victor Manuel, Gutierrez, Pedro Antonio, Frontoni, Emanuele, Hervas-Martinez, Cesar,
Learning Ordinal-Hierarchical Constraints for Deep Learning Classifiers
in IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS; PP; 445 HOES LANE, PISCATAWAY, NJ 08855-4141 USA,
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC;
pp. 1
- 14
(ISSN: 2162-237X)
01.01 Articolo in Rivista » scheda U-PAD -
2024
Kuznetsov, O., Frontoni, E., Romeo, L., Rosati, R.,
Enhancing copy-move forgery detection through a novel CNN architecture and comprehensive dataset analysis
in MULTIMEDIA TOOLS AND APPLICATIONS; 83; Paesi Bassi,
Springer;
pp. 59783
- 59817
(ISSN: 1380-7501)
01.01 Articolo in Rivista » scheda U-PAD -
2024
Fiorentino, Maria Chiara, Rosati, Riccardo, Federici, Lorenzo, Zingaretti, Primo,
A Multi-Task Deep Learning Approach for the Assessment of COVID-19 in Lung Ultrasound
in 2024 IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering, MetroXRAINE 2024 - Proceedings;
Institute of Electrical and Electronics Engineers Inc.;
pp. 77
- 82
04.01 Contributo in atti di convegno » scheda U-PAD -
2024
Pierdicca, R., Tonetto, F., Paolanti, M., Mameli, M., Rosati, R., Zingaretti, P.,
DeepReality: An open source framework to develop AI-based augmented reality applications
in EXPERT SYSTEMS WITH APPLICATIONS; 249; Amsterdam,
Elsevier;
pp. 1
- 14
(ISSN: 0957-4174)
01.01 Articolo in Rivista » scheda U-PAD -
2024
Fiorentino, Maria Chiara, Rosati, Riccardo, Melnic, Andrian, Conti, Edoardo, Zingaretti, Primo,
Vision Transformer Approaches for COVID-19 Pneumonia Assessment in Lung Ultrasound Images
in 2024 IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering, MetroXRAINE 2024 - Proceedings;
Institute of Electrical and Electronics Engineers Inc.;
pp. 83
- 88
04.01 Contributo in atti di convegno » scheda U-PAD -
2024
Senesi, Paolo, Mandolini, Marco, Lonzi, Barbara, Rosati, Riccardo,
User-Centred Product Design with Photorealistic Virtual Prototypes: A Case Study on Process Optimisation for Aesthetic Quality Enhancement
in Procedia Computer Science; in PROCEDIA COMPUTER SCIENCE; 232; SARA BURGERHARTSTRAAT 25, PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS,
Elsevier B.V.;
pp. 831
- 838
(ISSN: 1877-0509)
04.01 Contributo in atti di convegno » scheda U-PAD -
2024
Martini, M., Rosati, R., Romeo, L., Mancini, A.,
Data augmentation strategy for generating realistic samples on defect segmentation task
in Procedia Computer Science; in PROCEDIA COMPUTER SCIENCE; 232;
Elsevier B.V.;
pp. 1597
- 1606
(ISSN: 1877-0509)
04.01 Contributo in atti di convegno » scheda U-PAD -
2024
Kuznetsov, Alexandr, Luhanko, Nicolas, Frontoni, Emanuele, Romeo, Luca, Rosati, Riccardo,
Image steganalysis using deep learning models
in MULTIMEDIA TOOLS AND APPLICATIONS; 83; VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS,
SPRINGER;
pp. 1
- 13
(ISSN: 1573-7721)
01.01 Articolo in Rivista » scheda U-PAD -
2024
Rosati, R., Senesi, P., Lonzi, B., Mancini, A., Mandolini, M.,
An automated CAD-to-XR framework based on generative AI and Shrinkwrap modelling for a User-Centred design approach
in ADVANCED ENGINEERING INFORMATICS; 62; 125 London Wall, London, ENGLAND,
Elsevier Ltd;
pp. 1
- 12
(ISSN: 1474-0346)
01.01 Articolo in Rivista » scheda U-PAD -
2024
Bernovschi, D., Giacomini, A., Rosati, R., Romeo, L.,
Mitigating Bias in Aesthetic Quality Control Tasks: An Adversarial Learning Approach
in Procedia Computer Science; in PROCEDIA COMPUTER SCIENCE; 232;
Elsevier B.V.;
pp. 719
- 725
(ISSN: 1877-0509)
04.01 Contributo in atti di convegno » scheda U-PAD -
2023
Manuel Vargas, Víctor, Antonio Gutiérrez, Pedro, Rosati, Riccardo, Romeo, Luca, Frontoni, Emanuele, Hervás-Martínez, César,
Exponential loss regularisation for encouraging ordinal constraint to shotgun stocks quality assessment
in APPLIED SOFT COMPUTING; 138; Paesi Bassi,
Elsevier;
pp. 110191
- 110200
(ISSN: 1568-4946)
[» web resource]
01.01 Articolo in Rivista » scheda U-PAD -
2023
Manuel Vargas, Víctor, Rosati, Riccardo, Hervás-Martínez, César, Mancini, Adriano, Romeo, Luca, Antonio Gutiérrez, Pedro,
A hybrid feature learning approach based on convolutional kernels for ATM fault prediction using event-log data
in ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE; 123; Oxford,
Elsevier;
pp. 106463
- 106474
(ISSN: 0952-1976)
[» web resource]
01.01 Articolo in Rivista » scheda U-PAD -
2023
Manuel Vargas, Víctor, Antonio Gutiérre, Pedro, Rosati, Riccardo, Romeo, Luca, Frontoni, Emanuele, Hervás-Martínez, César,
Deep learning based hierarchical classifier for weapon stock aesthetic quality control assessment
in COMPUTERS IN INDUSTRY; 144; Paesi Bassi,
Elsevier;
pp. 103786
- 103799
(ISSN: 0166-3615)
[» web resource]
01.01 Articolo in Rivista » scheda U-PAD -
2023
Rosati, R., Romeo, L., Vargas, V. M., Gutierrez, P. A., Hervas-Martinez, C., Bianchini, L., Capriotti, A., Capparuccia, R., Frontoni, E.,
Predictive Maintenance of ATM Machines by Modelling Remaining Useful Life with Machine Learning Techniques
in LECTURE NOTES ON SOFTWARE ENGINEERING; 531; Berlino,
Springer Science and Business Media Deutschland GmbH;
pp. 239
- 249
(ISSN: 2301-3559)
01.01 Articolo in Rivista » scheda U-PAD -
2022
Kuznetsov, A., Kvaratskheliia, D., Maranesi, A., Romeo, L., Muscatello, A., Rosati, R.,
Deep Learning Based Face Liveliness Detection
in 2022 IEEE 9th International Conference on Problems of Infocommunications Science and Technology, PIC S and T 2022 - Proceedings;
Institute of Electrical and Electronics Engineers Inc.;
pp. 427
- 432
04.01 Contributo in atti di convegno » scheda U-PAD -
2022
Pierdicca, R., Tonetto, F., Mameli, M., Rosati, R., Zingaretti, P.,
Can AI Replace Conventional Markerless Tracking? A Comparative Performance Study for Mobile Augmented Reality Based on Artificial Intelligence
in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 13446; GEWERBESTRASSE 11, CHAM, CH-6330, SWITZERLAND,
Springer Science and Business Media Deutschland GmbH;
pp. 161
- 177
(ISBN: 9783031155529,9783031155536)
04.01 Contributo in atti di convegno » scheda U-PAD -
2022
Rosati, Riccardo, Romeo, Luca, Vargas, Víctor Manuel, Gutiérrez, Pedro Antonio, Hervás-Martínez, César, Frontoni, Emanuele,
A novel deep ordinal classification approach for aesthetic quality control classification
in NEURAL COMPUTING & APPLICATIONS; 34; USA,
Springer;
pp. 11625
- 11639
(ISSN: 1433-3058)
[» web resource]
01.01 Articolo in Rivista » scheda U-PAD -
2022
Rosati, Riccardo, Romeo, Luca, Cecchini, Gianalberto, Tonetto, Flavio, Viti, Paolo, Mancini, Adriano, Frontoni, Emanuele,
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
in JOURNAL OF INTELLIGENT MANUFACTURING; NA; Paesi Bassi,
Springer;
pp. 1034
- 1049
(ISSN: 0956-5515)
[» web resource]
01.01 Articolo in Rivista » scheda U-PAD -
2021
Pazzaglia, G., Martini, M., Rosati, R., Romeo, L., Frontoni, E.,
A Deep Learning-Based Approach for Automatic Leather Classification in Industry 4.0
in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 12664;
Springer Science and Business Media Deutschland GmbH;
pp. 662
- 674
(ISBN: 978-3-030-68798-4)
04.01 Contributo in atti di convegno » scheda U-PAD -
2021
Manilii, A., Lucarelli, L., Rosati, R., Romeo, L., Mancini, A., Frontoni, E.,
3D Human Pose Estimation Based on Multi-Input Multi-Output Convolutional Neural Network and Event Cameras: A Proof of Concept on the DHP19 Dataset
in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 12661;
Springer Science and Business Media Deutschland GmbH;
pp. 14
- 25
(ISBN: 978-3-030-68762-5)
04.01 Contributo in atti di convegno » scheda U-PAD -
2021
Rosati, R., Romeo, L., Cecchini, G., Tonetto, F., Perugini, L., Ruggeri, L., Viti, P., Frontoni, E.,
Bias from the Wild Industry 4.0: Are We Really Classifying the Quality or Shotgun Series?
in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 12664;
Springer Science and Business Media Deutschland GmbH;
pp. 637
- 649
(ISBN: 978-3-030-68798-4)
04.01 Contributo in atti di convegno » scheda U-PAD -
2020
Rosati, R., Romeo, L., Goday, C. A., Menga, T., Frontoni, E.,
Machine Learning in Capital Markets: Decision Support System for Outcome Analysis
in IEEE ACCESS; 8; New York,
IEEE;
pp. 109080
- 109091
(ISSN: 2169-3536)
01.01 Articolo in Rivista » scheda U-PAD -
2020
Rosati, Riccardo, Romeo, Luca, Silvestri, Sonia, Marcheggiani, Fabio, Tiano, Luca, Frontoni, Emanuele,
Faster R-CNN approach for detection and quantification of DNA damage in comet assay images
in COMPUTERS IN BIOLOGY AND MEDICINE; 123; AMSTERDAM,
ELSEVIER;
pp. 103912
- 103922
(ISSN: 0010-4825)
01.01 Articolo in Rivista » scheda U-PAD -
2020
Casaccia, S., Rosati, R., Scalise, L., Revel, G. M.,
Measurement of activities of daily living: A simulation tool for the optimisation of a passive infrared sensor network in a smart home environment
in I2MTC 2020 - International Instrumentation and Measurement Technology Conference, Proceedings;
Institute of Electrical and Electronics Engineers Inc.;
(ISBN: 9781728144603)
04.01 Contributo in atti di convegno » scheda U-PAD -
2019
Ferri, A., Rosati, R., Bernardini, M., Gabrielli, L., Casaccia, S., Romeo, L., Monteriu, A., Frontoni, E.,
Towards the Design of a Machine Learning-based Consumer Healthcare Platform powered by Electronic Health Records and measurement of Lifestyle through Smartphone Data
in 2019 IEEE 23rd International Symposium on Consumer Technologies, ISCT 2019;
Institute of Electrical and Electronics Engineers Inc.;
pp. 37
- 40
(ISBN: 978-1-7281-3570-0)
[» web resource]
04.01 Contributo in atti di convegno » scheda U-PAD -
2017
Agostinelli, A., Braccili, E., Marchegiani, E., Rosati, R., Sbrollini, A., Burattini, L., Morettini, M., Di Nardo, F., Fioretti, S.,
Statistical baseline assessment in cardiotocography
in Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS; 0;
Institute of Electrical and Electronics Engineers Inc.;
pp. 3166
- 3169
04.01 Contributo in atti di convegno » scheda U-PAD
-
2026/2027
Insegnamento Classe Mutuazione Calendario LABORATORIO DI INTELLIGENZA ARTIFICIALE PER LA COMUNICAZIONE - LABORATORIO DI INTELLIGENZA ARTIFICIALE PER LA COMUNICAZIONE Dipartimento di Scienze politiche, della comunicazione e delle relazioni internazionali
Programma didattico (allegato C) in corso di pubblicazione
LM-62 R(m) LABORATORIO DI INTELLIGENZA ARTIFICIALE PER LA COMUNICAZIONE - LABORATORIO DI INTELLIGENZA ARTIFICIALE PER LA COMUNICAZIONE Dipartimento di Scienze politiche, della comunicazione e delle relazioni internazionali
Programma didattico (allegato C) in corso di pubblicazione
LM-19 R MULTIMEDIA DESIGN PER LA REALTA’ ESTESA E IL METAVERSO - MULTIMEDIA DESIGN PER LA REALTA’ ESTESA E IL METAVERSO Dipartimento di Scienze politiche, della comunicazione e delle relazioni internazionali
Programma didattico (allegato C) in corso di pubblicazione
L-20 R MULTIMEDIA DESIGN PER LA REALTA’ ESTESA E IL METAVERSO - MULTIMEDIA DESIGN PER LA REALTA’ ESTESA E IL METAVERSO Dipartimento di Scienze politiche, della comunicazione e delle relazioni internazionali
Programma didattico (allegato C) in corso di pubblicazione
L-20 R
-
2023/2024
Insegnamento Classe Mutuazione Calendario LABORATORIO DI CLOUD COMPUTING Dipartimento di Economia e diritto
LM-77
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