Zobrazeno 1 - 10
of 91
pro vyhledávání: '"Robert E. Mercer"'
Autor:
Sk Imran Hossain, Sudipta Singha Roy, Jocelyn De Goër De Herve, Robert E. Mercer, Engelbert Mephu Nguifo
Publikováno v:
Data in Brief, Vol 48, Iss , Pp 109249- (2023)
Occlusion of skin lesions in dermoscopic images due to hair affects the performance of computer-assisted lesion analysis algorithms. Lesion analysis can benefit from digital hair removal or realistic hair simulation techniques. To assist in that proc
Externí odkaz:
https://doaj.org/article/46bdae9281154f449aa32f06f14388f4
Autor:
Maryam Khordad, Robert E. Mercer
Publikováno v:
Journal of Biomedical Semantics, Vol 8, Iss 1, Pp 1-16 (2017)
Abstract Background One important type of information contained in biomedical research literature is the newly discovered relationships between phenotypes and genotypes. Because of the large quantity of literature, a reliable automatic system to iden
Externí odkaz:
https://doaj.org/article/9402c1c1c2dd4cfba8a35ed3343d5a16
Autor:
Robert Leaman, Rezarta Islamaj, Virginia Adams, Mohammed A Alliheedi, João Rafael Almeida, Rui Antunes, Robert Bevan, Yung-Chun Chang, Arslan Erdengasileng, Matthew Hodgskiss, Ryuki Ida, Hyunjae Kim, Keqiao Li, Robert E Mercer, Lukrécia Mertová, Ghadeer Mobasher, Hoo-Chang Shin, Mujeen Sung, Tomoki Tsujimura, Wen-Chao Yeh, Zhiyong Lu
Publikováno v:
Database (Oxford)
The BioCreative National Library of Medicine (NLM)-Chem track calls for a community effort to fine-tune automated recognition of chemical names in the biomedical literature. Chemicals are one of the most searched biomedical entities in PubMed, and—
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5838ceca62b71cd42bdaabd33e73716c
https://europepmc.org/articles/PMC9991492/
https://europepmc.org/articles/PMC9991492/
Publikováno v:
Computational Linguistics and Intelligent Text Processing ISBN: 9783031238031
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a69f20f3cea38d0964b890f86259d1f1
https://doi.org/10.1007/978-3-031-23804-8_2
https://doi.org/10.1007/978-3-031-23804-8_2
Publikováno v:
Digital Studies/le champ numérique (DSCN) Open Issue 2022. 12
This study aims to develop computational techniques to analyze and identify points of tensions in interviews with survivors of the 1994 Rwandan genocide. Oral history interviews are a dialogical source composed of questions and answers, producing a c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d4c0fdd6d1bdde0bdead98c18c3e2f94
https://doi.org/10.16995/dscn.8089
https://doi.org/10.16995/dscn.8089
Autor:
Sudipta Singha Roy, Robert E. Mercer
Publikováno v:
The International FLAIRS Conference Proceedings. 35
In order to comprehend underlying biological processes, it is necessary to identify interactions between proteins. It is typically quite difficult to extract a protein-protein interaction (PPI) from text data as text data is complex in nature. Unlike
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e03ff5fe260bf3d84f9450ce0e442d98
https://doi.org/10.32473/flairs.v35i.130660
https://doi.org/10.32473/flairs.v35i.130660
Autor:
Robert E. Mercer, Mahtab Ahmed
Publikováno v:
AAAI
Learning sentence representation is a fundamental task in Natural Language Processing. Most of the existing sentence pair modelling architectures focus only on extracting and using the rich sentence pair features. The drawback of utilizing all of the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d25de48a901370c1162965ccccab39ef
https://doi.org/10.1609/aaai.v34i05.6230
https://doi.org/10.1609/aaai.v34i05.6230
Autor:
Sudipta Singha Roy, Robert E. Mercer
Publikováno v:
Proceedings of the 21st Workshop on Biomedical Language Processing.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d7105465c53479b3ef2937019b77e6b4
https://doi.org/10.18653/v1/2022.bionlp-1.23
https://doi.org/10.18653/v1/2022.bionlp-1.23
Publikováno v:
2021 International Conference on Data Mining Workshops (ICDMW).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1caddb7ece90708a6997bb37939b8932
https://doi.org/10.1109/icdmw53433.2021.00026
https://doi.org/10.1109/icdmw53433.2021.00026
Autor:
Vishwa Sai Kodiyala, Robert E. Mercer
Publikováno v:
2021 20th IEEE International Conference on Machine Learning and Applications (ICMLA).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::670893483cfa9f506ed6976a9e38ff57
https://doi.org/10.1109/icmla52953.2021.00037
https://doi.org/10.1109/icmla52953.2021.00037