Zobrazeno 1 - 10
of 90
pro vyhledávání: '"Aryani, Amir"'
The use of large language models (LLMs) is expanding rapidly, and open-source versions are becoming available, offering users safer and more adaptable options. These models enable users to protect data privacy by eliminating the need to provide data
Externí odkaz:
http://arxiv.org/abs/2408.02201
In recent years, Natural Language Processing (NLP) has played a significant role in various Artificial Intelligence (AI) applications such as chatbots, text generation, and language translation. The emergence of large language models (LLMs) has great
Externí odkaz:
http://arxiv.org/abs/2407.06564
This open access book provides practical guidance for non-profits and community sector organisations about how to get started with data analytics projects using their own organisations’ datasets and open public data. The book shares best practices
Externí odkaz:
https://library.oapen.org/handle/20.500.12657/61326
ExpFinder: An Ensemble Expert Finding Model Integrating $N$-gram Vector Space Model and $\mu$CO-HITS
Autor:
Kang, Yong-Bin, Du, Hung, Forkan, Abdur Rahim Mohammad, Jayaraman, Prem Prakash, Aryani, Amir, Sellis, Timos
Finding an expert plays a crucial role in driving successful collaborations and speeding up high-quality research development and innovations. However, the rapid growth of scientific publications and digital expertise data makes identifying the right
Externí odkaz:
http://arxiv.org/abs/2101.06821
Autor:
Kang, Yong-Bin, Du, Hung, Forkan, Abdur Rahim Mohammad, Jayaraman, Prem Prakash, Aryani, Amir, Sellis, Timos
Publikováno v:
In Expert Systems With Applications January 2023 211
Autor:
Poblet, Marta, Aryani, Amir, Manghi, Paolo, Unsworth, Kathryn, Wang, Jingbo, Hausstein, Brigitte, Dallmeier-Tiessen, Sunje, Klas, Claus-Peter, Casanovas, Pompeu, Doncel, Victor Rodriguez
This paper discusses the problem of lack of clear licensing and transparency of usage terms and conditions for research metadata. Making research data connected, discoverable and reusable are the key enablers of the new data revolution in research. W
Externí odkaz:
http://arxiv.org/abs/1609.05700
Akademický článek
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Autor:
Burton, Adrian, Koers, Hylke, Manghi, Paolo, La Bruzzo, Sandro, Aryani, Amir, Diepenbroek, Michael, Schindler, Uwe
Publikováno v:
Program, 2017, Vol. 51, Issue 1, pp. 75-100.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/PROG-06-2016-0048
This dataset is used in a report titled "Linking Scholarly Articles to the Sustainable Development Goals: An Automated Approach".
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d1257e4d0b6c40341b5badc22a7489d5
Akademický článek
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