المؤلفون: Lorenzo Tronchin, Ermanno Cordelli, Lorenzo Ricciardi Celsi, Daniele Maccagnola, Massimo Natale, Paolo Soda, Rosa Sicilia

المصدر: IEEE Access, Vol 12, Pp 27484-27500 (2024)

مصطلحات موضوعية: Explainability, evaluation, multivariate time series, car crash detection, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

وصف الملف: electronic resource

Relation: https://ieeexplore.ieee.org/document/10439172/; https://doaj.org/toc/2169-3536

URL الوصول: https://doaj.org/article/85f104f2c1004b65a0815692ba65591b

المؤلفون: Natascha Claudia D’Amico, Rosa Sicilia, Ermanno Cordelli, Lorenzo Tronchin, Carlo Greco, Michele Fiore, Alessia Carnevale, Giulio Iannello, Sara Ramella, Paolo Soda

المصدر: Applied Sciences, Vol 10, Iss 18, p 6425 (2020)

مصطلحات موضوعية: radiomics, NSCLC, Local Binary Patterns, multi-VOI analysis, Technology, Engineering (General). Civil engineering (General), TA1-2040, Biology (General), QH301-705.5, Physics, QC1-999, Chemistry, QD1-999

وصف الملف: electronic resource

Relation: https://www.mdpi.com/2076-3417/10/18/6425; https://doaj.org/toc/2076-3417

URL الوصول: https://doaj.org/article/857b154e5ccc4e5ea8175b99fdfca2e3

المؤلفون: Valerio Guarrasi, Lorenzo Tronchin, Domenico Albano, Eliodoro Faiella, Deborah Fazzini, Domiziana Santucci, Paolo Soda

المساهمون: V. Guarrasi, L. Tronchin, D. Albano, E. Faiella, D. Fazzini, D. Santucci, P. Soda

مصطلحات موضوعية: XAI, multimodal deep learning, joint fusion, classification, COVID-19, Settore MEDS-22/A - Diagnostica per immagini e radioterapia

Relation: info:eu-repo/semantics/altIdentifier/wos/WOS:001284879500001; volume:156; firstpage:1; lastpage:12; numberofpages:12; journal:PATTERN RECOGNITION; https://hdl.handle.net/2434/1119458

الاتاحة: https://hdl.handle.net/2434/1119458
https://doi.org/10.1016/j.patcog.2024.110825

المؤلفون: Maria Infantino, Boaz Palterer, Giulia Previtali, Maria‐Grazia Alessio, Danilo Villalta, Teresa Carbone, Stefan Platzgummer, Giusi Paura, Caterina Castiglione, Martina Fabris, Giampaola Pesce, Brunetta Porcelli, Lucia Terzuoli, Maria‐Romana Bacarelli, Marilina Tampoia, Luigi Cinquanta, Ignazio Brusca, Francesca Buzzolini, Maurizio Benucci, Matteo Tortora, Lorenzo Tronchin, Valerio Guarrasi, Paolo Soda, Mariangela Manfredi, Nicola Bizzaro

المصدر: Scandinavian Journal of Immunology. 96

مصطلحات موضوعية: Sjogren's Syndrome, Antibodies, Antinuclear, Immunology, Humans, Lupus Erythematosus, Systemic, General Medicine, Autoimmune Diseases

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7c58cc4e4034b494edeca5af01703666
https://doi.org/10.1111/sji.13220

المؤلفون: Lorenzo Tronchin, Rosa Sicilia, Ermanno Cordelli, Lorenzo Ricciardi Celsi, Daniele Maccagnola, Massimo Natale, Paolo Soda

المصدر: 2021 IEEE 20th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC).

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::950cc1fb83887225413db0e254e726db
https://doi.org/10.1109/iccicc53683.2021.9811335

المؤلفون: Rosa Sicilia, Sara Ramella, Paolo Soda, Ermanno Cordelli, Lorenzo Tronchin

المصدر: Deep Generative Models, and Data Augmentation, Labelling, and Imperfections ISBN: 9783030882099
DGM4MICCAI/DALI@MICCAI

مصطلحات موضوعية: Discriminator, Computer science, business.industry, media_common.quotation_subject, Fidelity, Pattern recognition, Convolutional neural network, Measure (mathematics), Domain (software engineering), Image (mathematics), Feature (computer vision), Medical imaging, Artificial intelligence, business, media_common

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::3c1362f95d472af6cdb7454144e96eb9
https://doi.org/10.1007/978-3-030-88210-5_10

المؤلفون: Sara Ramella, Carlo Greco, Rosa Sicilia, Paolo Soda, Ermanno Cordelli, Giulio Iannello, Natascha Claudia D'Amico, Lorenzo Tronchin, Michele Fiore, Alessia Carnevale

المصدر: Applied Sciences, Vol 10, Iss 6425, p 6425 (2020)
Applied Sciences
Volume 10
Issue 18

مصطلحات موضوعية: Computer science, Local binary patterns, multi-VOI analysis, Machine learning, computer.software_genre, NSCLC, lcsh:Technology, Local Binary Patterns, lcsh:Chemistry, 03 medical and health sciences, 0302 clinical medicine, Radiomics, medicine, Overall survival, General Materials Science, Lung cancer, Instrumentation, lcsh:QH301-705.5, 030304 developmental biology, Fluid Flow and Transfer Processes, 0303 health sciences, business.industry, lcsh:T, Process Chemistry and Technology, Deep learning, General Engineering, medicine.disease, lcsh:QC1-999, Computer Science Applications, lcsh:Biology (General), lcsh:QD1-999, radiomics, lcsh:TA1-2040, 030220 oncology & carcinogenesis, Non small cell, Artificial intelligence, business, lcsh:Engineering (General). Civil engineering (General), computer, lcsh:Physics

وصف الملف: application/pdf

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6ec0801abf2ab5024a60d6a09de7163f
https://www.mdpi.com/2076-3417/10/18/6425