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pro vyhledávání: '"Santosh, KC"'
Convolutional Neural Networks (CNNs) have made remarkable strides; however, they remain susceptible to vulnerabilities, particularly in the face of minor image perturbations that humans can easily recognize. This weakness, often termed as 'attacks',
Externí odkaz:
http://arxiv.org/abs/2409.03458
In this paper, we show that preprocessing data using a variant of rank transformation called 'Average Rank over an Ensemble of Sub-samples (ARES)' makes clustering algorithms robust to data representation and enable them to detect varying density clu
Externí odkaz:
http://arxiv.org/abs/2401.11402
Autor:
Vettoruzzo, Anna, Bouguelia, Mohamed-Rafik, Vanschoren, Joaquin, Rögnvaldsson, Thorsteinn, Santosh, KC
Meta-learning empowers learning systems with the ability to acquire knowledge from multiple tasks, enabling faster adaptation and generalization to new tasks. This review provides a comprehensive technical overview of meta-learning, emphasizing its i
Externí odkaz:
http://arxiv.org/abs/2307.04722
Akademický článek
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In this era of big data, databases are growing rapidly in terms of the number of records. Fast automatic detection of anomalous records in these massive databases is a challenging task. Traditional distance based anomaly detectors are not applicable
Externí odkaz:
http://arxiv.org/abs/1909.12702
Autor:
Santosh KC, Ramin Abolfath
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-10 (2022)
Abstract The radiation-induced damages in bio-molecules are ubiquitous processes in radiotherapy and radio-biology, and critical to space projects. In this study, we present a precise quantification of the fragmentation mechanisms of deoxyribonucleic
Externí odkaz:
https://doaj.org/article/ccc0154703a143139cd10936f7fcad57
Publikováno v:
In Information Sciences May 2022 592:389-401
Autor:
Gupta, Vedika, Santosh, KC, Arora, Rameshwar, Ciano, Tiziana, Kalid, Khairul Shafee, Mohan, Senthilkumar
Publikováno v:
In Information Processing and Management March 2022 59(2)
Publikováno v:
Bibechana, Vol 19, Iss 1-2 (2022)
Using the density functional theory formalism, electronic and magnetic properties of double perovskites Ca2MnIrO6 are investigated. We found ferrimagnetic ground state with half-metallic nature in Ca2MnIrO6. The electron-correlation, crystal distorti
Externí odkaz:
https://doaj.org/article/a2259e6c4e784dae94ab7bb4c404ff6f
Autor:
Mukherjee, Himadri, Dhar, Ankita, Obaidullah, Sk Md, Santosh, KC, Phadikar, Santanu, Roy, Kaushik, Pal, Umapada
Publikováno v:
Multimedia Tools & Applications; Jun2024, Vol. 83 Issue 19, p56883-56907, 25p