Rosati Riccardo
Riccardo Rosati
- Contatti
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- E-mail riccardo.rosati@unimc.it
- E-mail r.rosati@univpm.it
Dr. Riccardo Rosati obtained his Ph.D. in Information Engineering from the Università Politecnica delle Marche. He is currently an Assistant Professor at the University of Macerata. 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. 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. In 2023, he was a Visiting Researcher at the University of Córdoba (Spain) to advance his work on ordinal regression methodologies.
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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)
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 -
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
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, 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
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, 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
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 -
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
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 -
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 -
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
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 -
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 -
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 -
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
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2023/2024
Insegnamento Classe Mutuazione Calendario LABORATORIO DI CLOUD COMPUTING Dipartimento di Economia e diritto
LM-77
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2022/2023
Insegnamento Classe Mutuazione Calendario LABORATORIO DI CLOUD COMPUTING Dipartimento di Economia e diritto
LM-77
- Informazione non pervenuta
- Informazione non pervenuta
- Informazione non pervenuta
