Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Anwesha Law"'
Publikováno v:
CAAI Transactions on Intelligence Technology (2018)
Functioning of the Internet is persistently transforming from the Internet of computers (IoC) to the ‘Internet of things (IoT)’. Furthermore, massively interconnected systems, also known as cyber-physical systems (CPSs), are emerging from the ass
Externí odkaz:
https://doaj.org/article/e78ff89e71584bb0a07fcffed794f963
Autor:
Anwesha Law, Ashish Ghosh
Publikováno v:
IEEE Transactions on Emerging Topics in Computational Intelligence. 6:677-689
This article proposes a binary tree of classifiers for multi-label classification that preserves label dependencies and handles class imbalance. At each node, the input data is strategically split into two subsets for its subsequent child nodes, keep
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4dc3ac875e3a614c7a063d4779a6630f
https://doi.org/10.1109/tetci.2021.3075717
https://doi.org/10.1109/tetci.2021.3075717
Autor:
Ashish Ghosh, Anwesha Law
Publikováno v:
Neurocomputing. 358:222-234
This article introduces a cascade of neural networks for classification of multi-label data. Two types of networks, namely, stacked autoencoder (SAE) and extreme learning machine (ELM) have been incorporated in the proposed system. ELM is a compact a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1b072effe1097948f326b5b6fd5c6193
https://doi.org/10.1016/j.neucom.2019.05.051
https://doi.org/10.1016/j.neucom.2019.05.051
Publikováno v:
CSBio '20: Proceedings of the Eleventh International Conference on Computational Systems-Biology and Bioinformatics.
The COVID-19 pandemic has affected humans worldwide, and we are in dire need of techniques to bring this situation within our control. Among the various approaches attempted by researchers, preliminary prediction of COVID-19 through chest X-ray image
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c771472ba428cfb3aff3c25aeee7ec4d
https://doi.org/10.1145/3429210.3429219
https://doi.org/10.1145/3429210.3429219
Publikováno v:
Mining Intelligence and Knowledge Exploration ISBN: 9783319719276
MIKE
MIKE
In this article, a multi-label functional link artificial neural network (MLFLANN) has been developed to efficiently perform multi-label data classification. The input data is functionally expanded to a higher dimension, followed by iterative learnin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d6184a4bc9377e3bacf91ee22c44ef62
https://doi.org/10.1007/978-3-319-71928-3_1
https://doi.org/10.1007/978-3-319-71928-3_1
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783642450617
PReMI
PReMI
In this article, a one-dimensional self-organizing feature map (SOFM) neural network integrated with semi-supervised learning is used to predict the class label of gene expression data under the scarcity of the labeled patterns. Iterative learning of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::06c62b3d16a2a767b0aa54c10864fdfa
https://doi.org/10.1007/978-3-642-45062-4_97
https://doi.org/10.1007/978-3-642-45062-4_97