Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Ahmed El-Roby"'
Publikováno v:
Open Research Europe, Vol 3 (2023)
Background: There is a wide variety of potential sources from which insight into the antiquities trade could be culled, from newspaper articles to auction catalogues, to court dockets, to personal archives, if it could all be systematically examined.
Externí odkaz:
https://doaj.org/article/cad22c4a936f4e6184def84eeb788b9c
Publikováno v:
Advances in Archaeological Practice. 11:126-138
The transnational networks of the illicit and illegal antiquities trade are hard to perceive. We suggest representing the trade as a knowledge graph with multiple kinds of relationships that can be transformed by a neural architecture into a “knowl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0535bca5340f6728536a0d7bd2b3683b
https://doi.org/10.1017/aap.2023.1
https://doi.org/10.1017/aap.2023.1
Autor:
Abdelghny Orogat, Ahmed El-Roby
Publikováno v:
Proceedings of the VLDB Endowment. 15:3662-3665
In recent years, a significant number of question answering (QA) systems that retrieve answers to natural language questions from knowledge graphs (KG) have been introduced. However, finding a benchmark that accurately evaluates the quality of a ques
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ca864dae14f022a46a4169187af75a6c
https://doi.org/10.14778/3554821.3554869
https://doi.org/10.14778/3554821.3554869
Publikováno v:
Journal of Modern Research. 4:1-5
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::19d27bceadc36406cdfc64833611525c
https://doi.org/10.21608/jmr.2021.83102.1074
https://doi.org/10.21608/jmr.2021.83102.1074
Autor:
Anthony N. Tasca, Samantha Carlucci, James C. Wiley, Matthew Holden, Ahmed El-Roby, Giorgio A. Tasca
Publikováno v:
Psychotherapy research : journal of the Society for Psychotherapy Research.
Defensive functioning (i.e., unconscious process used to manage real or perceived threats) may play a role in the development of various psychopathologies. It is typically assessed via observer rating measures, however, human coding of defensive func
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::990f11e057dcb46be9612c23fa8a404b
https://pubmed.ncbi.nlm.nih.gov/36525586
https://pubmed.ncbi.nlm.nih.gov/36525586
Autor:
Abdelghny Orogat, Ahmed El-Roby
Publikováno v:
Proceedings of the VLDB Endowment. 14:2711-2714
A plethora of question answering (QA) systems that retrieve answers to natural language questions from knowledge graphs have been developed in recent years. However, choosing a benchmark to accurately assess the quality of a question answering system
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::30ffdb3c499fc2c838eeab24a2fb3266
https://doi.org/10.14778/3476311.3476326
https://doi.org/10.14778/3476311.3476326
Adversarial domain adaptation has made impressive advances in transferring knowledge from the source domain to the target domain by aligning feature distributions of both domains. These methods focus on minimizing domain divergence and regard the ada
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1f2fef07908df215a7137bf882f54961
http://arxiv.org/abs/2108.06583
http://arxiv.org/abs/2108.06583
Publikováno v:
ICASSP
Using the shared-private paradigm and adversarial training has significantly improved the performances of multi-domain text classification (MDTC) models. However, there are two issues for the existing methods. First, instances from the multiple domai
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3eae03a4e48fab3a327269d28b27f5ce
https://doi.org/10.1109/icassp39728.2021.9413441
https://doi.org/10.1109/icassp39728.2021.9413441
Recently, there has been an increase in the number of knowledge graphs that can be only queried by experts. However, describing questions using structured queries is not straightforward for non-expert users who need to have sufficient knowledge about
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::24f3957de668a069638a5dc15ca93ed6
Publikováno v:
Computer Vision – ECCV 2020 ISBN: 9783030585259
ECCV (29)
ECCV (29)
Recent advances on unsupervised domain adaptation (UDA) rely on adversarial learning to disentangle the explanatory and transferable features for domain adaptation. However, there are two issues with the existing methods. First, the discriminability
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dbf42b0d8eec388df77e897986e3f0a8
https://doi.org/10.1007/978-3-030-58526-6_32
https://doi.org/10.1007/978-3-030-58526-6_32