Zobrazeno 1 - 10
of 98
pro vyhledávání: '"Rohini K. Srihari"'
Autor:
Tiehang Duan, Mohammad Abuzar Shaikh, Mihir Chauhan, Jun Chu, Rohini K. Srihari, Archita Pathak, Sargur N. Srihari
Publikováno v:
IEEE Access, Vol 8, Pp 224791-224802 (2020)
Electroencephalogram (EEG) signal has large variance and its pattern differs significantly across subjects. Cross subject EEG classification is a challenging task due to such pattern variation and the limited target data available, as collecting and
Externí odkaz:
https://doaj.org/article/7a49971bbce9419989d825591ed6e738
Publikováno v:
Computational and Mathematical Organization Theory
We present an extensive study on disinformation, which is defined as information that is false and misleading and intentionally shared to cause harm. Through this work, we aim to answer the following questions:Can we automatically and accurately clas
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8e8cc553ff4fda7524490d831ceb2c06
https://doi.org/10.1007/s10588-021-09336-x
https://doi.org/10.1007/s10588-021-09336-x
Autor:
Jun Chu, Rohini K. Srihari, Mihir Chauhan, Sargur N. Srihari, Archita Pathak, Mohammad Abuzar Shaikh, Tiehang Duan
Publikováno v:
IEEE Access, Vol 8, Pp 224791-224802 (2020)
Electroencephalogram (EEG) signal has large variance and its pattern differs significantly across subjects. Cross subject EEG classification is a challenging task due to such pattern variation and the limited target data available, as collecting and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cec0072f77755e1f33e71ad4fdbc9584
https://ieeexplore.ieee.org/document/9296222/
https://ieeexplore.ieee.org/document/9296222/
Autor:
Archita Pathak, Rohini K. Srihari
Publikováno v:
ACL (2)
Popular fake news articles spread faster than mainstream articles on the same topic which renders manual fact checking inefficient. At the same time, creating tools for automatic detection is as challenging due to lack of dataset containing articles
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d4147e07a0b531de657efb5615989478
https://doi.org/10.18653/v1/p19-2050
https://doi.org/10.18653/v1/p19-2050
Autor:
Rohini K. Srihari, Nikhil Londhe
Publikováno v:
RANLP
Social media platforms play a crucial role in piecing together global news stories via their corresponding online discussions. Thus, in this work, we introduce the problem of automatically summarizing massively multilingual microblog text streams. We
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bb4db2ecd6b59b798b5e0a9778717b9c
https://doi.org/10.26615/978-954-452-049-6_060
https://doi.org/10.26615/978-954-452-049-6_060
Publikováno v:
Proceedings of the VLDB Endowment. 7:1167-1178
Title matching refers roughly to the following problem. We are given two strings of text obtained from different data sources. The texts refer to some underlying physical entities and the problem is to report whether the two strings refer to the same
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e6a6fdc5fa4dd406c71faff0fc7fcf95
https://doi.org/10.14778/2732977.2732990
https://doi.org/10.14778/2732977.2732990
Publikováno v:
FIRE
Cross-lingual name matching is an important problem in the fields of machine translation and data mining. Though well studied, it lacks a generic solution largely due to issues like language specific nuances, resource scarcity, etc. Most of the propo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2b452e8482ba7e212bf9367a9a8e4e10
https://doi.org/10.1145/2838706.2838716
https://doi.org/10.1145/2838706.2838716
Publikováno v:
ACM Transactions on Asian Language Information Processing. 9:1-43
There has been an increase in the amount of multilingual text on the Internet due to the proliferation of news sources and blogs. The Urdu language, in particular, has experienced explosive growth on the Web. Text mining for information discovery, wh
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6973f5dd80025363d9fd14fb6c3a63ac
https://doi.org/10.1145/1838751.1838754
https://doi.org/10.1145/1838751.1838754
Publikováno v:
ACM SIGKDD Explorations Newsletter. 6:80-89
A number of feature selection metrics have been explored in text categorization, among which information gain (IG), chi-square (CHI), correlation coefficient (CC) and odds ratios (OR) are considered most effective. CC and OR are one-sided metrics whi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::29f07211e04fedb5443b891715e888b8
https://doi.org/10.1145/1007730.1007741
https://doi.org/10.1145/1007730.1007741
Publikováno v:
International Journal on Artificial Intelligence Tools. 13:141-156
One challenge in text processing is the treatment of case insensitive documents such as speech recognition results. The traditional approach is to re-train a language model excluding case-related features. This paper presents an alternative two-step
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::28b46ee583add65971b8bc7409b62fdc
https://doi.org/10.1142/s0218213004001454
https://doi.org/10.1142/s0218213004001454