ANTONIO PARZIALE | Publications
ANTONIO PARZIALE Publications
2023 | |
Contributo in Atti di convegno | |
Machine Learning for Health (ML4H) 2023. In: Proceedings of Machine Learning Research ML Research Press Vol.225, Pag.1-12 | |
3rd Machine Learning for Health Symposium, ML4H 2023 usa 2023 | |
Hegselmann, S.; Parziale, A.; Shanmugam, D.; Tang, S.; Severson, K.; Asiedu, M. N.; Chang, S.; Dossou, B. F. P.; Huang, Q.; Kamran, F.; Zhang, H.; Nagaraj, S.; Oala, L.; Xu, S.; Okolo, C. T.; Zhou, H.; Dafflon, J.; Ellington, C.; Jabbour, S.; Jeong, H.; Nieva, H. R.; Yang, Y.; Zamzmi, G.; Mhasawade, V.; Truong, V.; Chandak, P.; Lee, M.; Argaw, P.; Heuton, K.; Singh, H.; Hartvigsen, T. | |
Versione online | |
Codice identificativo SCOPUS: 2-s2.0-85184959780 | |
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310396I Can’t Believe It’s Not Better: In-air Movement for Alzheimer Handwriting Synthetic Generation
2023 | |
Contributo in Atti di convegno | |
I Can’t Believe It’s Not Better: In-air Movement for Alzheimer Handwriting Synthetic Generation. In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Springer Science and Business Media Deutschland GmbH Vol.14285, Pag.136-148 ISBN:978-3-031-45460-8; 978-3-031-45461-5 | |
The 21st International Graphonomics Society Conference, IGS 2023 prt 2023 | |
Bensalah, A.; Parziale, A.; De Gregorio, G.; Marcelli, A.; Fornes, A.; Llados, J. | |
Digital Object Identifier (DOI): 10.1007/978-3-031-45461-5_10 Codice identificativo SCOPUS: 2-s2.0-85175866935 | |
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