Romeo Luca
Luca Romeo
Professore di ruolo - II fascia (IINF-05/A)
- Contatti
-
- Telefono 0733.258.3280
- E-mail luca.romeo@unimc.it
Dipartimento di Economia e Diritto
LUCA ROMEO is Associate Professor of Computer Science at the University of Macerata (UniMC), Department of Economics and Law. Additionally, he is affiliated with the Unit of Computational Statistics and Machine Learning at Fondazione Istituto Italiano di Tecnologia (IIT) in Genova, Italy. Dr. Romeo’s research centers on designing novel machine learning algorithms to address complex challenges in real-world domains. He has authored over 50 publications in leading conferences and journals. He serves as an Associate Editor for the Neurocomputing (Elsevier) journal and Medical & Biological Engineering & Computing (MBEC). Dr. Romeo is actively involved in the global AI research community, serving as a Senior Program Committee (PC) member for the International Joint Conference on Artificial Intelligence and as a member of the Ellis Society, a pan-European network of AI excellence.
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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 -
2025
Golinelli, Davide, Rosa, Simona, Rucci, Paola, Sanmarchi, Francesco, Tedesco, Dario, Biagetti, Carlo, Gili, Alessio, Bucci, Andrea, Romeo, Luca, Grilli, Roberto,
ML-predicted surgical site infections: An epidemiological study utilizing machine learning on routinely collected healthcare data to predict infection risk
in SMART HEALTH; 37; Amsterdam,
Elsevier B.V.;
pp. 1
- 10
(ISSN: 2352-6483)
[» web resource]
01.01 Articolo in Rivista » scheda U-PAD -
2024
Montomoli, J., Bitondo, M. M., Cascella, M., Rezoagli, E., Romeo, L., Bellini, V., Semeraro, F., Gamberini, E., Frontoni, E., Agnoletti, V., Altini, M., Benanti, P., Bignami, E. G.,
Algor-ethics: charting the ethical path for AI in critical care
in JOURNAL OF CLINICAL MONITORING AND COMPUTING; 38; TIERGARTENSTRASSE 17, D-69121 HEIDELBERG, GERMANY,
Springer Science and Business Media B.V.;
pp. 931
- 939
(ISSN: 1387-1307)
01.01 Articolo in Rivista » scheda U-PAD -
2024
Sernani, Paolo, Romeo, Luca, Frontoni, Emanuele,
Istituzione/Institution
in Law Art Humanities Creative Connections Methodology. Metodologia di Connessioni Creative; Napoli,
Edizioni Scientifiche Italiane;
pp. 315
- 319
(ISBN: 978-88-495-5558-5)
02.01 Contributo in volume (Capitolo o Saggio) » scheda U-PAD -
2024
Sernani, Paolo, Romeo, Luca, Frontoni, Emanuele,
Dati/Data
in Law Art Humanities Creative Connections Methodology. Metodologia di Connessioni Creative; Napoli,
Edizioni Scientifiche Italiane;
pp. 171
- 174
(ISBN: 978-88-495-5558-5)
02.01 Contributo in volume (Capitolo o Saggio) » 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
Sernani, Paolo, Romeo, Luca, Frontoni, Emanuele,
Dimensione/Dimension
in Law Art Humanities Creative Connections Methodology. Metodologia di Connessioni Creative; Napoli,
Edizioni Scientifiche Italiane;
pp. 207
- 210
(ISBN: 978-88-495-5558-5)
02.01 Contributo in volume (Capitolo o Saggio) » scheda U-PAD -
2024
Kuznetsov, Oleksandr, Sernani, Paolo, Romeo, Luca, Frontoni, Emanuele, Mancini, Adriano,
On the Integration of Artificial Intelligence and Blockchain Technology: A Perspective About Security
in IEEE ACCESS; 12; New York,
IEEE;
pp. 3890
- 3897
(ISSN: 2169-3536)
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
Turri, Giacomo, Romeo, Luca,
Neighborhood Component Feature Selection for Multiple Instance Learning Paradigm
in Machine Learning and Knowledge Discovery in Databases. Research Track. Lecture Notes in Computer Science; 14941;
(ISBN: 978-3-031-70341-6)
04.01 Contributo in atti di convegno » scheda U-PAD -
2024
Sernani, Paolo, Romeo, Luca, Frontoni, Emanuele,
Volontà/Will
in Law Art Humanities Creative Connections Methodology. Metodologia di Connessioni Creative; Napoli,
Edizioni Scientifiche Italiane;
pp. 397
- 399
(ISBN: 978-88-495-5558-5)
02.01 Contributo in volume (Capitolo o Saggio) » scheda U-PAD -
2024
Sernani, Paolo, Romeo, Luca, Frontoni, Emanuele,
Libertà/Liberty (or Freedom)
in Law Art Humanities Creative Connections Methodology. Metodologia di Connessioni Creative; Napoli,
Edizioni Scientifiche Italiane;
pp. 353
- 355
(ISBN: 978-88-495-5558-5)
02.01 Contributo in volume (Capitolo o Saggio) » scheda U-PAD -
2024
Sernani, Paolo, Romeo, Luca, Frontoni, Emanuele,
Fatto/Fact
in Law Art Humanities Creative Connections Methodology. Metodologia di Connessioni Creative; Napoli,
Edizioni Scientifiche Italiane;
pp. 245
- 247
(ISBN: 978-88-495-5558-5)
02.01 Contributo in volume (Capitolo o Saggio) » scheda U-PAD -
2024
Sernani, Paolo, Romeo, Luca, Frontoni, Emanuele,
Creatività/Creativity
in Law Art Humanities Creative Connections Methodology. Metodologia di Connessioni Creative; Napoli,
Edizioni Scientifiche Italiane;
pp. 133
- 136
(ISBN: 978-88-495-5558-5)
02.01 Contributo in volume (Capitolo o Saggio) » scheda U-PAD -
2024
Sernani, Paolo, Romeo, Luca, Frontoni, Emanuele,
Interpretazione/Interpretation
in Law Art Humanities Creative Connections Methodology. Metodologia di Connessioni Creative; Napoli,
Edizioni Scientifiche Italiane;
pp. 275
- 278
(ISBN: 978-88-495-5558-5)
02.01 Contributo in volume (Capitolo o Saggio) » scheda U-PAD -
2024
Sernani, Paolo, Romeo, Luca, Frontoni, Emanuele,
Apprendimento/Learning
in Law Art Humanities Creative Connections Methodology. Metodologia di Connessioni Creative; Napoli,
Edizioni Scientifiche Italiane;
pp. 37
- 42
(ISBN: 978-88-495-5558-5)
02.01 Contributo in volume (Capitolo o Saggio) » scheda U-PAD -
2024
Sernani, Paolo, Romeo, Luca, Frontoni, Emanuele,
Codice/Code
in Law Art Humanities Creative Connections Methodology. Metodologia di Connessioni Creative; Napoli,
Edizioni Scientifiche Italiane;
pp. 89
- 92
(ISBN: 978-88-495-5558-5)
02.01 Contributo in volume (Capitolo o Saggio) » 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
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 -
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
Rocca, M., Sacheli, L. M., Romeo, L., Cavallo, A.,
Visuo-motor interference is modulated by task interactivity: A kinematic study
in PSYCHONOMIC BULLETIN & REVIEW; 1; ONE NEW YORK PLAZA, SUITE 4600, NEW YORK, NY, UNITED STATES,
Springer;
pp. 1
- 14
(ISSN: 1069-9384)
01.01 Articolo in Rivista » scheda U-PAD -
2023
Romeo, L., Olugbade, T., Pontil, M., Bianchi-Berthouze, N.,
Multi-Rater Consensus Learning for Modeling Multiple Sparse Ratings of Affective Behaviour
in IEEE TRANSACTIONS ON AFFECTIVE COMPUTING; ND; USA,
Institute of Electrical and Electronics Engineers Inc.;
pp. 1
- 12
(ISSN: 1949-3045)
01.01 Articolo in Rivista » scheda U-PAD -
2023
Kuznetsov, A., Frontoni, E., Romeo, L., Poluyanenko, N., Kandiy, S., Kuznetsova, K., Benova, E.,
Optimizing Hill Climbing Algorithm for S-Boxes Generation
in ELECTRONICS; 12; ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND,
MDPI;
pp. 2338
- 2355
(ISSN: 2079-9292)
01.01 Articolo in Rivista » scheda U-PAD -
2023
Bernardini, M., Doinychko, A., Romeo, L., Frontoni, E., Amini, M. -R.,
A novel missing data imputation approach based on clinical conditional Generative Adversarial Networks applied to EHR datasets
in COMPUTERS IN BIOLOGY AND MEDICINE; 163; Oxford,
Elsevier Ltd;
pp. 107188
- 107197
(ISSN: 0010-4825)
01.01 Articolo in Rivista » scheda U-PAD -
2023
Kuznetsov, Alexandr, Luhanko, Nicolas, Frontoni, Emanuele, Romeo, Luca, Rosati, Riccardo,
Image steganalysis using deep learning models
in MULTIMEDIA TOOLS AND APPLICATIONS; 1; VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS,
SPRINGER;
pp. 1
- 13
(ISSN: 1573-7721)
01.01 Articolo in Rivista » scheda U-PAD -
2023
Lepore, Dominique, Frontoni, Emanuele, Micozzi, Alessandra, Moccia, Sara, Romeo, Luca, Spigarelli, Francesca,
Uncovering the potential of innovation ecosystems in the healthcare sector after the COVID-19 crisis
in HEALTH POLICY; 127; Amsterdam,
Elsevier;
pp. 80
- 86
(ISSN: 0168-8510)
[» 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
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 -
2022
Romeo, L., Frontoni, E.,
A Unified Hierarchical XGBoost model for classifying priorities for COVID-19 vaccination campaign
in PATTERN RECOGNITION; 121; THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND,
Elsevier Ltd;
pp. 108197
- 108209
(ISSN: 0031-3203)
01.01 Articolo in Rivista » scheda U-PAD -
2022
Nicolucci, A., Romeo, L., Bernardini, M., Vespasiani, M., Rossi, M. C., Petrelli, M., Ceriello, A., Di Bartolo, P., Frontoni, E., Vespasiani, G.,
Prediction of complications of type 2 Diabetes: A Machine learning approach
in DIABETES RESEARCH AND CLINICAL PRACTICE; 190; ELSEVIER HOUSE, BROOKVALE PLAZA, EAST PARK SHANNON, CO, CLARE, 00000, IRELAND,
Elsevier Ireland Ltd;
pp. 110013
- 110020
(ISSN: 0168-8227)
01.01 Articolo in Rivista » scheda U-PAD -
2022
Turri, Giacomo, Cavallo, Andrea, Romeo, Luca, Pontil, Massimiliano, Sanfey, Alan, Panzeri, Stefano, Becchio, Cristina,
Decoding social decisions from movement kinematics
in ISCIENCE; 25; 50 HAMPSHIRE ST, FLOOR 5, CAMBRIDGE, MA 02139 USA,
CELL PRESS;
pp. 105550
- 105569
(ISSN: 2589-0042)
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 -
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 -
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
Bernardini, M., Romeo, L., Mancini, A., Frontoni, E.,
A Clinical Decision Support System to Stratify the Temporal Risk of Diabetic Retinopathy
in IEEE ACCESS; 9; 445 HOES LANE, PISCATAWAY, NJ 08855-4141 USA,
Institute of Electrical and Electronics Engineers Inc.;
pp. 151864
- 151872
(ISSN: 2169-3536)
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
Montomoli, J., Romeo, L., Moccia, S., Bernardini, M., Migliorelli, L., Berardini, D., Donati, A., Carsetti, A., Bocci, M. G., Wendel Garcia, P. D., Fumeaux, T., Guerci, P., Schupbach, R. A., Ince, C., Frontoni, E., Hilty, M. P., Alfaro-Farias, M., Vizmanos-Lamotte, G., Tschoellitsch, T., Meier, J., Aguirre-Bermeo, H., Apolo, J., Martinez, A., Jurkolow, G., Delahaye, G., Novy, E., Losser, M. -R., Wengenmayer, T., Rilinger, J., Staudacher, D. L., David, S., Welte, T., Stahl, K., Pavlos, A., Aslanidis, T., Korsos, A., Babik, B., Nikandish, R., Rezoagli, E., Giacomini, M., Nova, A., Fogagnolo, A., Spadaro, S., Ceriani, R., Murrone, M., Wu, M. A., Cogliati, C., Colombo, R., Catena, E., Turrini, F., Simonini, M. S., Fabbri, S., Potalivo, A., Facondini, F., Gangitano, G., Perin, T., Grazia Bocci, M., Antonelli, M., Gommers, D., Rodriguez-Garcia, R., Gamez-Zapata, J., Taboada-Fraga, X., Castro, P., Tellez, A., Lander-Azcona, A., Escos-Orta, J., Martin-Delgado, M. C., Algaba-Calderon, A., Franch-Llasat, D., Roche-Campo, F., Lozano-Gomez, H., Zalba-Etayo, B., Michot, M. P., Klarer, A., Ensner, R., Schott, P., Urech, S., Zellweger, N., Merki, L., Lambert, A., Laube, M., Jeitziner, M. M., Jenni-Moser, B., Wiegand, J., Yuen, B., Lienhardt-Nobbe, B., Westphalen, A., Salomon, P., Drvaric, I., Hillgaertner, F., Sieber, M., Dullenkopf, A., Petersen, L., Chau, I., Ksouri, H., Sridharan, G. O., Cereghetti, S., Boroli, F., Pugin, J., Grazioli, S., Rimensberger, P. C., Burkle, C., Marrel, J., Brenni, M., Fleisch, I., Lavanchy, J., Perez, M. -H., Ramelet, A. -S., Weber, A. B., Gerecke, P., Christ, A., Ceruti, S., Glotta, A., Marquardt, K., Shaikh, K., Hubner, T., Neff, T., Redecker, H., Moret-Bochatay, M., Bentrup, F. Z., Studhalter, M., Stephan, M., Brem, J., Gehring, N., Selz, D., Naon, D., Kleger, G. -R., Pietsch, U., Filipovic, M., Ristic, A., Sepulcri, M., Heise, A., Franchitti Laurent, M., Laurent, J. -C., Wendel Garcia, P. D., Schuepbach, R., Heuberger, D., Buhler, P., Brugger, S., Fodor, P., Locher, P., Camen, G., Gaspert, T., Jovic, M., Haberthuer, C., Lussman, R. F., Colak, E.,
Machine learning using the extreme gradient boosting (XGBoost) algorithm predicts 5-day delta of SOFA score at ICU admission in COVID-19 patients
in JOURNAL OF INTENSIVE MEDICINE; 1; USA,
Elsevier B.V.;
pp. 110
- 116
(ISSN: 2667-100X)
01.01 Articolo in Rivista » scheda U-PAD -
2021
Cavallo, A., Romeo, L., Ansuini, C., Battaglia, F., Nobili, L., Pontil, M., Panzeri, S., Becchio, C.,
Identifying the signature of prospective motor control in children with autism
in SCIENTIFIC REPORTS; 11; London,
Nature;
pp. 1
- 8
(ISSN: 2045-2322)
01.01 Articolo in Rivista » 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
Bernardini, M., Romeo, L., Frontoni, E., Amini, M.,
A Semi-Supervised Multi-Task Learning Approach for Predicting Short-Term Kidney Disease Evolution
in IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS; PP; New Tork,
IEEE;
pp. 1
- 20
(ISSN: 2168-2194)
01.01 Articolo in Rivista » scheda U-PAD -
2021
Guerrini, G., Romeo, L., Alessandrini, D., Frontoni, E.,
Analysis, Design and Implementation of a Forecasting System for Parking Lots Occupation
in DICPS 2021 - Proceedings of the ACM 1st Workshop on Data-Driven and Intelligent Cyber-Physical Systems, Part of CPS-IoT Week 2021;
Association for Computing Machinery, Inc;
pp. 12
- 16
(ISBN: 9781450384452)
04.01 Contributo in atti di convegno » scheda U-PAD -
2021
Casaccia, S., Calvaresi, A., Morresi, N., Scalise, L., Monteriù, A., Romeo, L., Frontoni, E., Revel, G. M.,
Measuring Environmental Data and Physiological Parameters at Home to Assess the Caregiver Burden in Assistants of People with Dementia
in Lecture Notes in Electrical Engineering; 725;
Springer Science and Business Media Deutschland GmbH;
pp. 3
- 13
(ISBN: 978-3-030-63106-2)
02.01 Contributo in volume (Capitolo o Saggio) » scheda U-PAD -
2021
Ferracuti, F., Freddi, A., Monteriu', A., Romeo, L.,
Fault Diagnosis of Rotating Machinery Based on Wasserstein Distance and Feature Selection
in IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING; 19; USA,
IEEE;
pp. 1
- 11
(ISSN: 1545-5955)
01.01 Articolo in Rivista » scheda U-PAD -
2021
Firouzi, F., Farahani, B., Daneshmand, M., Grise, K., Song, J., Saracco, R., Wang, L. L., Lo, K., Angelov, P., Soares, E., Loh, P. -S., Talebpour, Z., Moradi, R., Goodarzi, M., Ashraf, H., Talebpour, M., Talebpour, A., Romeo, L., Das, R., Heidari, H., Pasquale, D., Moody, J., Woods, C., Huang, E. S., Barnaghi, P., Sarrafzadeh, M., Li, R., Beck, K. L., Isayev, O., Sung, N., Luo, A.,
Harnessing the Power of Smart and Connected Health to Tackle COVID-19: IoT, AI, Robotics, and Blockchain for a Better World
in IEEE INTERNET OF THINGS JOURNAL; 8; USA,
IEEE;
pp. 12826
- 12846
(ISSN: 2327-4662)
01.01 Articolo in Rivista » scheda U-PAD -
2020
Calabrese, M., Cimmino, M., Fiume, F., Manfrin, M., Romeo, L., Ceccacci, S., Paolanti, M., Toscano, G., Ciandrini, G., Carrotta, A., Mengoni, M., Frontoni, E., Kapetis, D.,
SOPHIA: An event-based IoT and machine learning architecture for predictive maintenance in industry 4.0
in INFORMATION; 11.4; Postfach,
MDPI AG;
pp. 1
- 17
(ISSN: 2078-2489)
01.01 Articolo in Rivista » scheda U-PAD -
2020
Romeo, Luca, Armentano, Giuseppe, Nicolucci, Antonio, Vespasiani, Marco, Vespasiani, Giacomo, Frontoni, Emanuele,
A Novel Spatio-Temporal Multi-Task Approach for the Prediction of Diabetes-Related Complication: a Cardiopathy Case of Study
in Proceedings of the Twenty-Ninth International Joint Conference onArtificial Intelligence, {IJCAI-20};
International Joint Conferences on Artificial Intelligence Organization;
pp. 4299
- 4305
(ISBN: 978-0-9992411-6-5)
[» web resource]
04.01 Contributo in atti di convegno » scheda U-PAD -
2020
Moccia, Sara, Romeo, Luca, Migliorelli, Lucia, Frontoni, Emanuele, Zingaretti, Primo,
Supervised CNN Strategies for Optical Image Segmentation and Classification in Interventional Medicine
in Deep Learners and Deep Learner Descriptors for Medical Applications; 186;
SPRINGER;
pp. 213
- 236
(ISBN: 978-3-030-42748-1)
02.01 Contributo in volume (Capitolo o Saggio) » 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
Liciotti, D., Bernardini, M., Romeo, L., Frontoni, E.,
A sequential deep learning application for recognising human activities in smart homes
in NEUROCOMPUTING; 396; Amsterdam,
Elsevier;
pp. 501
- 513
(ISSN: 0925-2312)
[» web resource]
01.01 Articolo in Rivista » 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
Ferracuti, Francesco, Fioretti, Sandro, Frontoni, Emanuele, Iarlori, Sabrina, Mengarelli, Alessandro, Riccio, Michele, Romeo, Luca, Verdini, Federica,
Functional evaluation of triceps surae during heel rise test: from EMG frequency analysis to machine learning approach
in MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING; 1; Oxford,
Springer;
pp. 11
- 19
(ISSN: 1741-0444)
[» web resource]
01.01 Articolo in Rivista » scheda U-PAD -
2020
Frontoni, E., Romeo, L., Bernardini, M., Moccia, S., Migliorelli, L., Paolanti, M., Ferri, A., Misericordia, P., Mancini, A., Zingaretti, P.,
A decision support system for diabetes chronic care models based on general practitioner engagement and ehr data sharing
in IEEE JOURNAL OF TRANSLATIONAL ENGINEERING IN HEALTH AND MEDICINE; 8; 445 HOES LANE, PISCATAWAY, NJ 08855-4141 USA,
Institute of Electrical and Electronics Engineers Inc.;
pp. 1
- 12
(ISSN: 2168-2372)
01.01 Articolo in Rivista » scheda U-PAD -
2020
Bernardini, M., Morettini, M., Romeo, L., Frontoni, E., Burattini, L.,
Early temporal prediction of Type 2 Diabetes Risk Condition from a General Practitioner Electronic Health Record: A Multiple Instance Boosting Approach
in ARTIFICIAL INTELLIGENCE IN MEDICINE; 105; AMSTERDAM,
ELSEVIER;
pp. 1
- 11
(ISSN: 0933-3657)
01.01 Articolo in Rivista » scheda U-PAD -
2020
Romeo, L., Loncarski, J., Paolanti, M., Bocchini, G., Mancini, A., Frontoni, E.,
Machine learning-based design support system for the prediction of heterogeneous machine parameters in industry 4.0
in EXPERT SYSTEMS WITH APPLICATIONS; 140; THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND,
Elsevier Ltd;
pp. 1
- 15
(ISSN: 0957-4174)
01.01 Articolo in Rivista » scheda U-PAD -
2020
Casaccia, Sara, Romeo, Luca, Calvaresi, Andrea, Morresi, Nicole, Monteriù, Andrea, Frontoni, Emanuele, Scalise, Lorenzo, Marco Revel, Gian,
Measurement of users’ well-being through domotic sensors and machine learning algorithms
in IEEE SENSORS JOURNAL; 20; New York,
IEEE;
pp. 8029
- 8038
(ISSN: 1530-437X)
[» web resource]
01.01 Articolo in Rivista » scheda U-PAD -
2019
Migliorelli, Lucia, Cenci, Annalisa, Bernardini, Michele, Romeo, Luca, Moccia, Sara, Zingaretti, Primo,
A Cloud-Based Healthcare Infrastructure for Neonatal Intensive-Care Units
in ASME 2019 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference;
(ISBN: 978-0-7918-5929-2)
04.01 Contributo in atti di convegno » scheda U-PAD -
2019
Paolanti, M., Romeo, L., Martini, M., Mancini, A., Frontoni, E., Zingaretti, P.,
Robotic retail surveying by deep learning visual and textual data
in ROBOTICS AND AUTONOMOUS SYSTEMS; 118; RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS,
Elsevier B.V.;
pp. 179
- 188
(ISSN: 0921-8890)
01.01 Articolo in Rivista » scheda U-PAD -
2019
Bernardini, Michele, Romeo, Luca, Misericordia, Paolo, Frontoni, Emanuele,
Discovering the Type 2 Diabetes in Electronic Health Records using the Sparse Balanced Support Vector Machine
in IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS; 1; New York,
IEEE;
pp. 1
- 12
(ISSN: 2168-2194)
01.01 Articolo in Rivista » scheda U-PAD -
2019
Bernardini, M., Morettini, M., Romeo, L., Frontoni, E., Burattini, L.,
TyG-er: An ensemble Regression Forest approach for identification of clinical factors related to insulin resistance condition using Electronic Health Records
in COMPUTERS IN BIOLOGY AND MEDICINE; 112; Oxford,
Elsevier;
pp. 1
- 8
(ISSN: 0010-4825)
01.01 Articolo in Rivista » scheda U-PAD -
2019
Capecci, Marianna, Ceravolo, Maria Gabriella, Ferracuti, Francesco, Iarlori, Sabrina, Monteriu, Andrea, Romeo, Luca, Verdini, Federica,
The KIMORE dataset: KInematic assessment of MOvement and clinical scores for remote monitoring of physical REhabilitation
in IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING; 27; USA,
IEEE;
pp. 1436
- 1448
(ISSN: 1534-4320)
01.01 Articolo in Rivista » scheda U-PAD -
2019
Romeo, L., Cavallo, A., Pepa, L., Berthouze, N., Pontil, M.,
Multiple Instance Learning for Emotion Recognition using Physiological Signals
in IEEE TRANSACTIONS ON AFFECTIVE COMPUTING; 13; USA,
IEEE;
pp. 1
- 1
(ISSN: 1949-3045)
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 -
2019
Vesperini, F., Romeo, L., Principi, E., Monteriu, A., Squartini, S., Vesperini, F., Romeo, L., Principi, E., Monteriu, A., Squartini, S., Vesperini, F., Romeo, L., Principi, E., Monteriu, A., Squartini, S.,
Convolutional Recurrent Neural Networks and Acoustic Data Augmentation for Snore Detection
in Neural Approaches to Dynamics of Signal Exchanges; 151;
Springer;
pp. 35
- 46
[» web resource]
02.01 Contributo in volume (Capitolo o Saggio) » scheda U-PAD -
2019
Vesperini, F., Romeo, L., Principi, E., Monteriu, A., Squartini, S., Vesperini, F., Romeo, L., Principi, E., Monteriu, A., Squartini, S., Vesperini, F., Romeo, L., Principi, E., Monteriu, A., Squartini, S.,
Convolutional Recurrent Neural Networks and Acoustic Data Augmentation for Snore Detection
in Neural Approaches to Dynamics of Signal Exchanges; 151;
Springer;
pp. 35
- 46
[» web resource]
02.01 Contributo in volume (Capitolo o Saggio) » scheda U-PAD -
2019
Bernardini, M., Ferri, A., Migliorelli, L., Moccia, S., Romeo, L., Silvestri, S., Tiano, L., Mancini, A.,
Augmented microscopy for DNA damage quantification: A machine learning tool for environmental, medical and health sciences
in Proceedings of the ASME Design Engineering Technical Conference; 9;
American Society of Mechanical Engineers (ASME);
(ISBN: 978-0-7918-5929-2)
[» web resource]
04.01 Contributo in atti di convegno » scheda U-PAD -
2019
Vesperini, F., Romeo, L., Principi, E., Monteriu, A., Squartini, S., Vesperini, F., Romeo, L., Principi, E., Monteriu, A., Squartini, S., Vesperini, F., Romeo, L., Principi, E., Monteriu, A., Squartini, S.,
Convolutional Recurrent Neural Networks and Acoustic Data Augmentation for Snore Detection
in Neural Approaches to Dynamics of Signal Exchanges; 151;
Springer;
pp. 35
- 46
[» web resource]
02.01 Contributo in volume (Capitolo o Saggio) » scheda U-PAD -
2018
Capecci, Marianna, Ceravolo, Maria Gabriella, Ferracuti, Francesco, Grugnetti, Martina, Iarlori, Sabrina, Longhi, Sauro, Romeo, Luca, Verdini, Federica,
An instrumental approach for monitoring physical exercises in a visual markerless scenario: A proof of concept
in JOURNAL OF BIOMECHANICS; 69; Oxford,
Elsevier;
pp. 70
- 80
(ISSN: 0021-9290)
01.01 Articolo in Rivista » scheda U-PAD -
2018
Romeo, L., Paolanti, M., Bocchini, G., Loncarski, J., Frontoni, E.,
An innovative design support system for industry 4.0 based on machine learning approaches
in Proceedings of the 2018 5th International Symposium on Environment-Friendly Energies and Applications, EFEA 2018;
Institute of Electrical and Electronics Engineers Inc.;
pp. 1
- 6
(ISBN: 978-1-5386-5517-7)
04.01 Contributo in atti di convegno » scheda U-PAD -
2018
Belgiovine, G., Capecci, M., Ciabattoni, L., Fiorentino, M. C., Monteriu, A., Pepa, L., Romeo, L.,
Upper Limbs Dyskinesia Detection and Classification for Patients with Parkinson's Disease based on Consumer Electronics Devices
in 2018 Zooming Innovation in Consumer Technologies Conference, ZINC 2018;
Institute of Electrical and Electronics Engineers Inc.;
pp. 156
- 157
(ISBN: 978-1-5386-4927-5)
04.01 Contributo in atti di convegno » scheda U-PAD -
2018
Paolanti, M., Romeo, L., Felicetti, A., Mancini, A., Frontoni, E., Loncarski, J.,
Machine Learning approach for Predictive Maintenance in Industry 4.0
in 2018 14th IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications, MESA 2018;
Institute of Electrical and Electronics Engineers Inc.;
pp. 1
- 6
(ISBN: 978-1-5386-4643-4)
04.01 Contributo in atti di convegno » scheda U-PAD -
2018
Romeo, Luca, Paolanti, Marina, Bocchini, Gianluca, Loncarski, Jelena, Frontoni, Emanuele,
An Innovative Design Support System for Industry 4.0 Based on Machine Learning Approaches
in 2018 5th International Symposium on Environment-Friendly Energies and Applications (EFEA) IEEE; NaN;
IEEE;
pp. 1
- 6
04.01 Contributo in atti di convegno » scheda U-PAD -
2018
Monteriù, Andrea, Prist, Mario, Frontoni, Emanuele, Longhi, Sauro, Pietroni, Filippo, Casaccia, Sara, Scalise, Lorenzo, Cenci, Annalisa, Romeo, Luca, Berta, Riccardo, Pescosolido, Loreto, Orlandi, Gianni, Revel, Gian,
A Smart Sensing Architecture for Domestic Monitoring: Methodological Approach and Experimental Validation
in SENSORS; 18; Basel,
MDPI;
pp. 2310
- 2320
(ISSN: 1424-8220)
[» web resource]
01.01 Articolo in Rivista » scheda U-PAD -
2018
Paolanti, M., Romeo, L., Liciotti, D., Pietrin, R., Cenci, A., Frontoni, E., Zingaretti, P.,
Person re-identification with RGB-D camera in top-view configuration through multiple nearest neighbor classifiers and neighborhood component features selection
in SENSORS; 18; ;Postfach,
MDPI AG;
pp. 3471
(ISSN: 1424-8220)
04.01 Contributo in atti di convegno » scheda U-PAD -
2018
Ciabattoni, Lucio, Foresi, Gabriele, Monteriù, Andrea, Proietti Pagnotta, Daniele, Romeo, Luca, Spalazzi, Luca, De Cesare, Alex,
Complex Activity Recognition System Based on Cascade Classifiers and Wearable Device Data
in 36th IEEE International Conference on Consumer Electronics (ICCE);
IEEE;
pp. 1
- 2
[» web resource]
04.01 Contributo in atti di convegno » scheda U-PAD -
2018
Capecci, Marianna, Ciabattoni, L., Ferracuti, Francesco, Monteriù, Andrea, Romeo, Luca, Verdini, Federica,
Collaborative design of a telerehabilitation system enabling virtual second opinion based on fuzzy logic
in IET COMPUTER VISION; 12; UK,
IET Digital Library;
pp. 1
- 10
(ISSN: 1751-9632)
[» web resource]
01.01 Articolo in Rivista » scheda U-PAD -
2018
Sale, P., Ferriero, G., Ciabattoni, L., Cortese, A. M., Ferracuti, F., Romeo, L., Piccione, F., Masiero, S.,
Predicting Motor and Cognitive Improvement Through Machine Learning Algorithm in Human Subject that Underwent a Rehabilitation Treatment in the Early Stage of Stroke
in JOURNAL OF STROKE AND CEREBROVASCULAR DISEASES; 27; UK,
WB Saunders;
pp. 2962
- 2972
(ISSN: 1052-3057)
01.01 Articolo in Rivista » scheda U-PAD -
2018
Capecci, Marianna, Ceravolo, Maria Gabriella, Ferracuti, Francesco, Iarlori, Sabrina, Kyrki, Ville, Monteriù, Andrea, Romeo, Luca, Verdini, Federica,
A Hidden Semi-Markov Model based Approach for Rehabilitation Exercise Assessment
in JOURNAL OF BIOMEDICAL INFORMATICS; 78; USA,
Academic Press;
pp. 1
- 11
(ISSN: 1532-0464)
[» web resource]
01.01 Articolo in Rivista » scheda U-PAD -
2018
Calamanti, C., Paolanti, M., Romeo, L., Bernardini, M., Frontoni, E.,
Machine learning-based approaches to analyse and improve the diagnosis of endothelial dysfunction
in 2018 14th IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications, MESA 2018;
Institute of Electrical and Electronics Engineers Inc.;
pp. 1
- 6
(ISBN: 978-1-5386-4643-4)
04.01 Contributo in atti di convegno » scheda U-PAD -
2018
Cavallo, Andrea, Romeo, Luca, Ansuini, Caterina, Podda, Jessica, Battaglia, Francesca, Veneselli, Edvige, Pontil, Massimiliano, Becchio, Cristina,
Prospective motor control obeys to idiosyncratic strategies in autism
in SCIENTIFIC REPORTS; 8; London,
Nature;
pp. 1
- 9
(ISSN: 2045-2322)
[» web resource]
01.01 Articolo in Rivista » scheda U-PAD -
2017
Ciabattoni, Lucio, Ferracuti, Francesco, Longhi, Sauro, Pepa, Lucia, Romeo, Luca, Verdini, Federica,
Real-time mental stress detection based on smartwatch
in 2017 IEEE International Conference on Consumer Electronics, ICCE 2017;
Institute of Electrical and Electronics Engineers Inc.;
pp. 110
- 111
(ISBN: 9781509055449)
04.01 Contributo in atti di convegno » scheda U-PAD -
2017
Ciabattoni, L., Frontoni, E., Liciotti, D., Paolanti, M., Romeo, L.,
A sensor fusion approach for measuring emotional customer experience in an intelligent retail environment
in IEEE International Conference on Consumer Electronics - Berlin, ICCE-Berlin; 2017-;
IEEE Computer Society;
pp. 67
- 68
(ISBN: 978-1-5090-4014-8)
04.01 Contributo in atti di convegno » scheda U-PAD -
2017
Ciabattoni, Lucio, Ferracuti, Francesco, Longhi, Sauro, Pepa, Lucia, Romeo, Luca, Verdini, Federica,
Multimedia experience enhancement through affective computing
in 2017 IEEE International Conference on Consumer Electronics, ICCE 2017;
Institute of Electrical and Electronics Engineers Inc.;
pp. 182
- 183
(ISBN: 9781509055449)
04.01 Contributo in atti di convegno » scheda U-PAD -
2016
Capecci, Marianna, Ceravolo, Maria Gabriella, Ferracuti, Francesco, Iarlori, Sabrina, Longhi, Sauro, Romeo, Luca, Russi, NICOLA SEVERINO, Verdini, Federica,
Accuracy evaluation of the Kinect v2 sensor during dynamic movements in a rehabilitation scenario
in Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS; 2016-;
Institute of Electrical and Electronics Engineers Inc.;
pp. 5409
- 5412
(ISBN: 9781457702204)
04.01 Contributo in atti di convegno » scheda U-PAD -
2016
Capecci, Marianna, Ceravolo, MARIA GABRIELLA, Ferracuti, Francesco, Iarlori, Sabrina, Kyrki, V., Longhi, Sauro, Romeo, Luca, Verdini, Federica,
Physical rehabilitation exercises assessment based on Hidden Semi-Markov Model by Kinect v2
in 3rd IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2016;
Institute of Electrical and Electronics Engineers Inc.;
pp. 256
- 259
(ISBN: 9781509024551)
04.01 Contributo in atti di convegno » scheda U-PAD -
2016
Ciabattoni, L., Ferracuti, F., Lazzaro, G., Romeo, L., Verdini, F.,
Serious gaming approach for physical activity monitoring: A visual feedback based on quantitative evaluation
in 2016 IEEE 6th International Conference on Consumer Electronics - Berlin (ICCE-Berlin);
pp. 209
- 213
04.01 Contributo in atti di convegno » scheda U-PAD -
2016
Ciabattoni, Lucio, Ferracuti, Francesco, Iarlori, Sabrina, Longhi, Sauro, Romeo, Luca,
A novel computer vision based e-rehabilitation system: From gaming to therapy support
in 2016 IEEE International Conference on Consumer Electronics, ICCE 2016;
Institute of Electrical and Electronics Engineers Inc.;
pp. 43
- 44
(ISBN: 9781467383646)
04.01 Contributo in atti di convegno » scheda U-PAD -
2016
Longhi, Sauro, Ciabattoni, Lucio, Ferracuti, Francesco, Freddi, Alessandro, Monteriù, Andrea, Ortenzi, Davide, Romeo, Luca,
Tecnologie assistive per la vita indipendente
in La Bioingegneria per il benessere e l'invecchiamento attivo; 35; ITA,
Pàtron Editore;
pp. 415
- 428
(ISBN: 9788855533539)
02.01 Contributo in volume (Capitolo o Saggio) » scheda U-PAD -
2015
Capecci, Marianna, Ceravolo, MARIA GABRIELLA, D'Orazio, F., Ferracuti, F., Iarlori, S., Lazzaro, G., Longhi, Sauro, Romeo, L., Verdini, Federica,
A tool for home-based rehabilitation allowing for clinical evaluation in a visual markerless scenario
in Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS; 2015-;
Institute of Electrical and Electronics Engineers Inc.;
pp. 8034
- 8037
(ISBN: 9781424492718)
04.01 Contributo in atti di convegno » scheda U-PAD -
2014
Grisostomi, Massimo, Ciabattoni, Lucio, Prist, Mariorosario, Romeo, Luca, Ippoliti, Gianluca, Longhi, Sauro,
Modular design of a novel wireless sensor node for smart environments
in MESA 2014 - 10th IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications, Conference Proceedings;
[» web resource]
04.01 Contributo in atti di convegno » scheda U-PAD -
2014
Torta, Elena, van Heumen, Jim, Piunti, Francesco, Romeo, Luca, Cuijpers, Raymond,
Evaluation of Unimodal and Multimodal Communication Cues for Attracting Attention in Human–Robot Interaction
in INTERNATIONAL JOURNAL OF SOCIAL ROBOTICS; 7; Paesi Bassi,
Sprigner Netherlands;
pp. 89
- 96
(ISSN: 1875-4791)
01.01 Articolo in Rivista » scheda U-PAD
-
2025/2026
Insegnamento Classe Mutuazione Calendario ABILITA' INFORMATICHE Dipartimento di Economia e diritto
L-33 R, L-33(m), L-41(m), L-41 R(m) FINTECH E BLOCKCHAIN - Fintech Dipartimento di Economia e diritto
LM-16 R FONDAMENTI DI INFORMATICA E BASI DI DATI - Fondamenti di informatica e basi di dati - mod. a Dipartimento di Economia e diritto
L-41 R FONDAMENTI DI INFORMATICA E BASI DI DATI - Fondamenti di informatica e basi di dati - mod. b Dipartimento di Economia e diritto
L-41 R, L-18 R(m), L-33 R(m) -
Informatica
Classe: L-18 R
-
Informatica gestionale
Classe: L-33 R
FONDAMENTI DI PROGRAMMAZIONE Dipartimento di Economia e diritto
L-41 R MACHINE LEARNING E LABORATORIO DI ANALISI DEI BIG DATA - Laboratorio di analisi dei big data Dipartimento di Economia e diritto
L-41 R, L-41(m) -
-
2024/2025
Insegnamento Classe Mutuazione Calendario ABILITA' INFORMATICHE Dipartimento di Economia e diritto
L-33, L-33(m), L-41(m) FINTECH E BLOCKCHAIN - Fintech e blockchain - fintech Dipartimento di Economia e diritto
LM-16 FONDAMENTI DI INFORMATICA E BASI DI DATI - Fondamenti di informatica e basi di dati - mod. a Dipartimento di Economia e diritto
L-41 FONDAMENTI DI INFORMATICA E BASI DI DATI - Fondamenti di informatica e basi di dati - mod. b Dipartimento di Economia e diritto
L-41, L-18(m), L-33(m) -
Informatica
Classe: L-18
-
Informatica gestionale
Classe: L-33
FONDAMENTI DI PROGRAMMAZIONE Dipartimento di Economia e diritto
L-41 MACHINE LEARNING E LABORATORIO DI ANALISI DEI BIG DATA - Laboratorio di analisi dei big data Dipartimento di Economia e diritto
L-41 -
-
2023/2024
Insegnamento Classe Mutuazione Calendario ABILITA' INFORMATICHE - Abilita informatiche Dipartimento di Economia e diritto
L-33, L-18(m), L-41(m) FINTECH E BLOCKCHAIN - Fintech e blockchain - fintech Dipartimento di Economia e diritto
LM-16 FONDAMENTI DI INFORMATICA E BASI DI DATI - Fondamenti di informatica e basi di dati - mod. a Dipartimento di Economia e diritto
L-41, L-18(m), L-33(m) -
Informatica
Classe: L-18
-
Informatica gestionale
Classe: L-33
FONDAMENTI DI INFORMATICA E BASI DI DATI - Fondamenti di informatica e basi di dati - mod. b Dipartimento di Economia e diritto
L-41 FONDAMENTI DI PROGRAMMAZIONE Dipartimento di Economia e diritto
L-41 INFORMATICA E ANALISI DEI BIG DATA - Informatica Dipartimento di Economia e diritto
LM-16 MACHINE LEARNING + LABORATORIO DI ANALISI DEI BIG DATA Dipartimento di Economia e diritto
L-41 -
-
2022/2023
Insegnamento Classe Mutuazione Calendario ABILITA' INFORMATICHE Dipartimento di Economia e diritto
L-33 FINTECH E BLOCKCHAIN - Fintech Dipartimento di Economia e diritto
LM-16 INFORMATICA E ANALISI DEI BIG DATA - Informatica Dipartimento di Economia e diritto
LM-16 INFORMATICA GESTIONALE Dipartimento di Economia e diritto
L-33, L-18(m) -
Informatica
Classe: L-18
-
-
2021/2022
Insegnamento Classe Mutuazione Calendario TECNOLOGIE E PROCESSI DIGITALI Dipartimento di Giurisprudenza
LM/SC-GIUR
- INF/01 - Informatica
- ING-INF/05 - Sistemi di elaborazione delle informazioni
| Breve descrizione | Settore ERC | Parole chiave |
|---|---|---|
| Abilitazione Scientifica Nazionale 2018-2020 Abilitato Professore Seconda Fascia settore 09/H1- Sistemi di Elaborazione delle Informazioni | ||
| Abilitazione Scientifica Nazionale 2018-2020 Abilitato Professore Seconda Fascia settore 01/B1- Informatica |
| Lingua | Conoscenza |
|---|---|
| Italiano | Madre lingua |
| Inglese | Eccellente |
Aree: Americhe, Europa, Italia
Paesi:
Italia,
Paesi Bassi (Olanda),
Stati Uniti d'America,
Gran Bretagna e Irlanda del Nord,
Francia
Informazione non pervenuta
- Informazione non pervenuta
- Organismi Internazionali / Governi stranieri
-Membro dell’Editorial Board (Associate Editor), Neurocomputing https://www.sciencedirect.com/journal/neurocomputing
-Membro dell’Editorial Board (Associate Editor), Medical & Biological Engineering & Computing https://www.springer.com/journal/11517/editors
- Oggetto del finanziamento: CAlibrazione e SImulazione di un modello macroECOnomico di grandi dimensioni (CASIECO)
- Tipologia: 11.01 Progetti ministeriali
- Bando competitivo: yes
- Parole chiave:
- Anno di avvio: 2024
- Durata: 16
- Sito Web:
- Oggetto del finanziamento: Accelerating Innovation and Entrepreneurial Excellence in Higher Education Institutes
- Tipologia: 11.02 Progetti UE e internazionali
- Bando competitivo: yes
- Parole chiave: Entrepreneurship Innovation Ecosystems
- Anno di avvio: 2022
- Durata: 36
- Sito Web: https://eit-hei.eu/projects/accent/
- Oggetto del finanziamento: Trust digital TuRn in EUrope: Strengthening relational reliance through Technology
- Tipologia: 11.02 Progetti UE e internazionali
- Bando competitivo:
- Parole chiave:
- Anno di avvio: 2021
- Durata:
- Sito Web:
- Oggetto del finanziamento: TRUST
- Tipologia: 11.02 Progetti UE e internazionali
- Bando competitivo: yes
- Parole chiave: digital TuRn in EUrope: Strengthening relational reliance through Technology
- Anno di avvio: 2021
- Durata: 48
- Sito Web: https://www.unimc.it/it/ricerca/aree-strategiche-di-ricerca-1/progetti/trust
- Informazione non pervenuta