Zobrazeno 1 - 10
of 28
pro vyhledávání: '"Ana Garcia-Serrano"'
Publikováno v:
Heliyon, Vol 10, Iss 1, Pp e23493- (2024)
In this paper, we present the results of a research experience of implementing andragogy in a learning environment designed to better meet the needs of adult learners studying part-time at a distance university. The learning environment was composed
Externí odkaz:
https://doaj.org/article/ac6f395be5954c0aa638b9b9e1733e1b
Publikováno v:
BMC Bioinformatics, Vol 23, Iss 1, Pp 1-31 (2022)
Abstract Background Ontology-based semantic similarity measures based on SNOMED-CT, MeSH, and Gene Ontology are being extensively used in many applications in biomedical text mining and genomics respectively, which has encouraged the development of s
Externí odkaz:
https://doaj.org/article/10377d464e4a499b8070e7b3b3f3286f
Publikováno v:
PLoS ONE, Vol 17, Iss 11, p e0276539 (2022)
This registered report introduces the largest, and for the first time, reproducible experimental survey on biomedical sentence similarity with the following aims: (1) to elucidate the state of the art of the problem; (2) to solve some reproducibility
Externí odkaz:
https://doaj.org/article/aef864c2ef0d4712b4ba71cb2703fdec
Publikováno v:
PLoS ONE, Vol 16, Iss 3, p e0248663 (2021)
Measuring semantic similarity between sentences is a significant task in the fields of Natural Language Processing (NLP), Information Retrieval (IR), and biomedical text mining. For this reason, the proposal of sentence similarity methods for the bio
Externí odkaz:
https://doaj.org/article/dd90bd339d7243f59e88ac5d72fdebd7
Autor:
Ana Garcia-Serrano, Antonio Menta
Publikováno v:
Revista de Humanidades Digitales. 7:19-39
Este artículo se centra en el análisis de dos investigaciones de diverso signo guiadas por la inteligencia artificial dentro del campo de las HD. El primero es una investigación muy conocida y exitosa de dos lingüistas que resuelven un caso de at
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c459d32f994cf2d913dff9926e8d12a8
https://doi.org/10.5944/rhd.vol.7.2022.30928
https://doi.org/10.5944/rhd.vol.7.2022.30928
Publikováno v:
BMC Bioinformatics
BMC Bioinformatics, Vol 23, Iss 1, Pp 1-31 (2022)
BMC Bioinformatics, Vol 23, Iss 1, Pp 1-31 (2022)
Background Ontology-based semantic similarity measures based on SNOMED-CT, MeSH, and Gene Ontology are being extensively used in many applications in biomedical text mining and genomics respectively, which has encouraged the development of semantic m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9e92df515dfb0c31b99e60fb3072efa3
https://pubmed.ncbi.nlm.nih.gov/34991460
https://pubmed.ncbi.nlm.nih.gov/34991460
This book constitutes the refereed post-proceedings of the 9th International Conference on Adaptive Multimedia Retrieval, AMR 2011, held in Barcelona, Spain, in July 2011. The 9 revised full papers and the invited contribution presented were carefull
This book constitutes the refereed proceedings of the 7th International Conference on Adaptive Multimedia Retrieval, AMR 2009, held in Madrid, Spain, in September 2009. The 12 revised full papers and the invited contribution presented were carefully
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783642184482
Adaptive Multimedia Retrieval
Adaptive Multimedia Retrieval
This paper describes and discusses an approach to extract and exploit enriched Named Entities for Image Photo Retrieval. The enrichment of Named Entities is inspired by the concept of definite description. The approach is evaluated using the imageCLE
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b6ace1105a354e16367113948eaa9e1b
https://doi.org/10.1007/978-3-642-18449-9_9
https://doi.org/10.1007/978-3-642-18449-9_9
Publikováno v:
Working Notes for the CLEF 2008 Workshop | 9th Workshop of the Cross-Language Evaluation Forum, CLEF 2008 | 17/09/2008-19/09/2008 | Aarhus, Dinamarca
Archivo Digital UPM
instname
Scopus-Elsevier
Archivo Digital UPM
instname
Scopus-Elsevier
This paper describes the participation of the MIRACLE consortium at the ImageCLEF Photographic Retrieval task of ImageCLEF 2008. In this is new participation of the group, our first purpose is to evaluate our own tools for text-based retrieval and fo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::0c30bb9fb14dc368adcc5a417ce75a07
https://oa.upm.es/4683/
https://oa.upm.es/4683/