Delfina MALANDRINO | Publications
Delfina MALANDRINO Publications
364635Checkpoint based immunotherapy in non-small cell lung cancer: a real-world retrospective study
2024 | |
Articolo in rivista | |
Checkpoint based immunotherapy in non-small cell lung cancer: a real-world retrospective study FRONTIERS IN IMMUNOLOGY. Vol. 15. Pag.1-15 ISSN:1664-3224. | |
Liguori, L.; Giorgio, G.; Polcaro, G.; Pagliara, V.; Malandrino, D.; Perri, F.; Cascella, M.; Ottaiano, A.; Conti, V.; Servetto, A.; Bianco, R.; Pepe, S.; Sabbatino, F. | |
Digital Object Identifier (DOI): 10.3389/fimmu.2024.1419544 Codice identificativo ISI: WOS:001373849000001 Codice identificativo SCOPUS: 2-s2.0-85211613142 | |
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2024 | |
Articolo in rivista | |
TV shows popularity prediction of genre-independent TV series through machine learning-based approaches MULTIMEDIA TOOLS AND APPLICATIONS. Pag.1-24 ISSN:1380-7501. | |
Cammarano, MARIA ELENA; Guarino, Alfonso; Malandrino, Delfina; Zaccagnino, Rocco | |
Digital Object Identifier (DOI): 10.1007/s11042-024-18518-z Codice identificativo ISI: WOS:001167114200003 Codice identificativo SCOPUS: 2-s2.0-85185253918 | |
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2024 | |
Contributo in Atti di convegno | |
Visual Music Perception for Stochastic Music Composition. In: Proceedings of the International Conference on Information Visualisation Ebad Banissi et al. Pag.308-313 | |
28th International Conference Information Visualisation, {IV} 2024 Coimbra, Portugal July 22-26, 2024 | |
Botticelli, Cosimo; DE PRISCO, Roberto; Lettieri, Nicola; Lomasto, Luigi; Malandrino, Delfina; Zaccagnino, Rocco | |
Digital Object Identifier (DOI): 10.1109/IV64223.2024.00060 Codice identificativo SCOPUS: 2-s2.0-85207826389 | |
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2024 | |
Contributo in volume (Capitolo o Saggio) | |
Visual Knowledge Discovery and Criminal Justice. Insights from a Computational Crime Analysis Research. In Kovalerchuk, B., Nazemi, K., Andonie, R., Datia, N., Bannissi, E. Studies in Computational Intelligence Pag.375-395 | |
Lettieri, Nicola; Guarino, Alfonso; Malandrino, Delfina; Zaccagnino, Rocco | |
Digital Object Identifier (DOI): 10.1007/978-3-031-46549-9_13 Codice identificativo SCOPUS: 2-s2.0-85192771897 | |
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