Zobrazeno 1 - 10
of 77
pro vyhledávání: '"Aditi Sharan"'
Autor:
Samridhi Dev, Aditi Sharan
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9789819905492
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a98080ebca4cca6e8997fce3118eefc4
https://doi.org/10.1007/978-981-99-0550-8_20
https://doi.org/10.1007/978-981-99-0550-8_20
Publikováno v:
Semantic Web for Effective Healthcare. :95-113
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b24586d728bab9284432b3222a80cd59
https://doi.org/10.1002/9781119764175.ch4
https://doi.org/10.1002/9781119764175.ch4
Publikováno v:
Information Systems and Management Science ISBN: 9783031131493
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8ad54a90e17d7076216a36e426563174
https://doi.org/10.1007/978-3-031-13150-9_33
https://doi.org/10.1007/978-3-031-13150-9_33
Publikováno v:
Artificial Intelligence Technologies for Computational Biology ISBN: 9781003246688
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::89f0882a6ad721d83b254ecca9ca9308
https://doi.org/10.1201/9781003246688-6
https://doi.org/10.1201/9781003246688-6
Autor:
Aditi Sharan, Jaya Srivastava
Phishing Website Data set from UCI ML Repository Size (11055,31), 11055 samples and 30 features with 1 class label. Reference [10] in the paper. [10] R. M. Mohammad, F. Thabtah, and L. McCluskey, “Phishing Websites Features,” School of Computing
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5d10b20d145a532146b0225d2aa10524
https://doi.org/10.36227/techrxiv.20207765.v1
https://doi.org/10.36227/techrxiv.20207765.v1
Publikováno v:
International Journal of Knowledge-based and Intelligent Engineering Systems. 25:97-108
The growth of web has touched everyone’s life from an economist, entrepreneur, and academician to a farmer. The agriculture sector is quite important for any country’s growth. Farmers can also be benefited if they are provided with relevant infor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3992932c807d8f053f0995be94601db3
https://doi.org/10.3233/kes-210055
https://doi.org/10.3233/kes-210055
Publikováno v:
Journal of Experimental & Theoretical Artificial Intelligence. 33:487-508
Aspect-based sentiment analysis is one of the challenging problems among the various type of tasks in sentiment analysis. Sequential models specifically deep neural networks (like Recurrent Neural ...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::55686d553cc9f2075c4c1c88f1429a0a
https://doi.org/10.1080/0952813x.2020.1764632
https://doi.org/10.1080/0952813x.2020.1764632
Publikováno v:
Computational Intelligence. 36:1161-1182
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::78d4f4b06a427e93b4bc48f27df54787
https://doi.org/10.1111/coin.12327
https://doi.org/10.1111/coin.12327
Publikováno v:
Procedia Computer Science. 167:589-598
Sentiment analysis aims to determine the sentiment strength from a textual source for good decision making. This work focuses on application of sentiment analysis in financial news. The semantic orientation of documents is first calculated by tuning
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cde267469ea9b93eea5c4d605b169f79
https://doi.org/10.1016/j.procs.2020.03.325
https://doi.org/10.1016/j.procs.2020.03.325
Publikováno v:
Procedia Computer Science. 167:2091-2100
Long Short Term Memory (LSTM) is among the most popular deep learning models used today. It is also being applied to time series prediction which is a particularly hard problem to solve due to the presence of long term trend, seasonal and cyclical fl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a72bce21b1ae005072a16be14ae30642
https://doi.org/10.1016/j.procs.2020.03.257
https://doi.org/10.1016/j.procs.2020.03.257