Zobrazeno 1 - 10
of 148
pro vyhledávání: '"Swagatam Das"'
Autor:
Swagatam Das, Avisek Gupta
Publikováno v:
IEEE Transactions on Emerging Topics in Computational Intelligence. 6:828-838
Multiple kernel clustering methods have been quite successful recently especially concerning the multi-view clustering of complex datasets. These methods simultaneously learn a multiple kernel metric while clustering in an unsupervised setting. With
Autor:
Souhardya Sengupta, Swagatam Das
Publikováno v:
Pattern Recognition Letters. 155:178-185
Publikováno v:
IEEE Transactions on Smart Grid. 12:2844-2859
Recently, several numerical algorithms have been proposed to solve the power flow (PF) problems of islanded microgrids (MGs). However, these algorithms approximate the steady-state model of the distributed generation units (DGs) as linear equations.
Publikováno v:
Artificial Intelligence Review. 53:1767-1812
Deep learning (DL) has become an important machine learning approach that has been widely successful in many applications. Currently, DL is one of the best methods of extracting knowledge from large sets of raw data in a (nearly) self-organized manne
Publikováno v:
Swarm and Evolutionary Computation. 45:92-112
Hybrid flowshop (HFS) rescheduling has important applications in modern industry. Much of the existing research on HFS rescheduling only consider one type of dynamic event. However, realistic production systems often encounter several types of dynami
Publikováno v:
Pattern Recognition. 81:674-693
Most of the traditional pattern classifiers assume their input data to be well-behaved in terms of similar underlying class distributions, balanced size of classes, the presence of a full set of observed features in all data instances, etc. Practical
Autor:
Saptarshi Chakraborty, Swagatam Das
Publikováno v:
IEEE transactions on pattern analysis and machine intelligence. 44(6)
In this paper, we propose a Lasso Weighted k-means ( LW-k-means) algorithm, as a simple yet efficient sparse clustering procedure for high-dimensional data where the number of features ( p) can be much higher than the number of observations (n). The
Publikováno v:
IJCNN
Activation functions in the neural networks play an important role by introducing non-linear properties to the neural networks. Thus it is considered as one of the essential ingredients among other building blocks of a neural network. But the selecti
Autor:
Swagatam Das, Shounak Datta, Sankha Subhra Mullick, Rammohan Mallipeddi, Arka Ghosh, Asit Kr. Das
Constructing adversarial perturbations for deep neural networks is an important direction of research. Crafting image-dependent adversarial perturbations using white-box feedback has hitherto been the norm for such adversarial attacks. However, black
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::99cdd442eff17fc6f3c25504831124a8
http://arxiv.org/abs/2004.13002
http://arxiv.org/abs/2004.13002
Autor:
Swagatam Das, Debolina Paul
Publikováno v:
Stat. 9