Deep learning for understanding multilabel imbalanced Chest X-ray datasets
This work has been funded by Grant PLEC2021-007681 (XAI-DisInfodemics) and PID2020-117263GB-100 (FightDIS) funded by MCIN/AEI/ 10.13039/501100011033 and, as appropriate, by “ERDF A way of making Europe”, by the “European Union NextGenerationEU/PRTR”, by the research project CIVIC: Intelligent charac...
| Autores: | , , , , |
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| Tipo de recurso: | artículo |
| Fecha de publicación: | 2023 |
| País: | España |
| Institución: | Universidad Rey Juan Carlos |
| Repositorio: | BURJC-Digital. Repositorio Institucional de la Universidad Rey Juan Carlos |
| OAI Identifier: | oai:burjcdigital.urjc.es:10115/24750 |
| Acceso en línea: | https://hdl.handle.net/10115/24750 |
| Access Level: | acceso abierto |
| Palabra clave: | Convolutional neural networks Chest X-rays Explainable AI Ensemble Methodology |
| Sumario: | This work has been funded by Grant PLEC2021-007681 (XAI-DisInfodemics) and PID2020-117263GB-100 (FightDIS) funded by MCIN/AEI/ 10.13039/501100011033 and, as appropriate, by “ERDF A way of making Europe”, by the “European Union NextGenerationEU/PRTR”, by the research project CIVIC: Intelligent characterisation of the veracity of the information related to COVID-19, granted by BBVA FOUNDATION GRANTS FOR SCIENTIFIC RESEARCH TEAMS SARS-CoV-2 and COVID-19, by European Comission under IBERIFIER - Iberian Digital Media Research and Fact-Checking Hub (2020-EU-IA-0252), by “Convenio Plurianual with the Universidad Politécnica de Madrid in the actuation line of Programa de Excelencia para el Profesorado Universitario”, and by Comunidad Autónoma de Madrid under S2018/TCS-4566 (CYNAMON) grant. M. Sánchez-Montañés has been supported by grants PID2021-127946OB-I00 and PID2021-122347NB-I00 (funded by MCIN/AEI/ 10.13039/501100011033 and ERDF - “A way of making Europe”) and Comunidad Autónoma de Madrid, Spain (S2017/BMD-3688 MULTI-TARGET&VIEW-CM grant). J. Del Ser thanks the financial support of the Spanish Centro para el Desarrollo Tecnológico Industrial (CDTI, Ministry of Science and Innovation) through the “Red Cervera” Programme (AI4ES project), as well as the support of the Basque Government (consolidated research group MATHMODE, ref. IT1456-22) |
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