Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Radhika Arava"'
Publikováno v:
Frontiers in Big Data, Vol 5 (2022)
Intelligent personal assistants (IPA) enable voice applications that facilitate people's daily tasks. However, due to the complexity and ambiguity of voice requests, some requests may not be handled properly by the standard natural language understan
Externí odkaz:
https://doaj.org/article/5277a6b3debd42bf91bdd86b724e619f
Autor:
Qian Hu, Thahir Mohamed, Wei Xiao, Xiyao Ma, Xibin Gao, Zheng Gao, Radhika Arava, Mohamed AbdelHady
Publikováno v:
Frontiers in Big Data, Vol 5 (2022)
Intelligent personal assistants (IPAs) such as Amazon Alexa, Google Assistant and Apple Siri extend their built-in capabilities by supporting voice apps developed by third-party developers. Sometimes the smart assistant is not able to successfully re
Externí odkaz:
https://doaj.org/article/b9f76b3cbeae459481c600de35f76302
Publikováno v:
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
Publikováno v:
2021 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU).
Publikováno v:
Interspeech 2021.
Publikováno v:
Proceedings of the 3rd Workshop on Natural Language Processing for Conversational AI.
Autor:
Pranav Ladkat, Nikko Strom, I-Fan Chen, Radhika Arava, Sree Hari Krishnan Parthasarathi, Oleg Rybakov
Publikováno v:
INTERSPEECH
Autor:
Radhika Arava
Publikováno v:
Social Network Analysis and Mining. 8
Communities typically capture homophily as people of the same community share many common features. This paper is motivated by the problem of community detection in social networks, as it can help improve our understanding of the network topology and
Autor:
Radhika Arava
The problem of community detection is important as it helps in understanding the spread of information in a social network. Linkages are more likely to form between similar people, leading to the formation of some community structure which characteri
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fc11a2ccc89ef3bbc44b626069aaf340
https://hdl.handle.net/10356/65384
https://hdl.handle.net/10356/65384
Publikováno v:
CASE
Reduction of carbon emissions is of paramount importance in the context of global warming. Countries and global companies are now engaged in understanding systematic ways of achieving well defined emission targets. In fact, carbon credits have become