Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Tapan, Gandhi"'
Publikováno v:
IEEE Transactions on Instrumentation and Measurement. 71:1-8
Publikováno v:
2022 IEEE 19th India Council International Conference (INDICON).
Autor:
Priti Gupta, Pragya Shah, Swochchhanda Shrestha, Sharon Gilad‐Gutnick, Suma Ganesh, Tapan Gandhi, Pawan Sinha
Publikováno v:
Developmental scienceREFERENCES. 26(1)
Judgments of facial attractiveness invariably accompany our perception of faces. Even neonates appear to be capable of making such judgments in a manner consistent with adults. This suggests that the processes supporting facial attractiveness require
Autor:
Tapan Gandhi
In this study, we have proposed SCL-SSC(Supervised Contrastive Learning for Sleep Stage Classification), a deep learning-based framework for sleep stage classification which performs the task in two stages, 1) feature representation learning, and 2)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::274cbfd4f5f738ad59aec087cd7b8e22
https://doi.org/10.36227/techrxiv.17711369
https://doi.org/10.36227/techrxiv.17711369
Publikováno v:
Intelligent Human Computer Interaction ISBN: 9783030984038
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a467aefa851f667c8489c8b2cf173a8d
https://doi.org/10.1007/978-3-030-98404-5_22
https://doi.org/10.1007/978-3-030-98404-5_22
Autor:
Mayank Gupta, Tapan Gandhi
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9789811643682
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f7a2fda70c10a5863decfcfa76279cb7
https://doi.org/10.1007/978-981-16-4369-9_18
https://doi.org/10.1007/978-981-16-4369-9_18
Autor:
Ella Striem-Amit, Sriparna Sen, Ningcong Tong, Xiaoying Wang, Tapan Gandhi, Vidur Mahajan, Shlomit Ben-Ami, Sharon Gilad-Gutnick, Yanchao Bi, Pawan Sinha
Publikováno v:
Journal of Vision. 22:3483
Publikováno v:
PLoS Biology, Vol 11, Iss 12, p e1001741 (2013)
Externí odkaz:
https://doaj.org/article/ac2f790919ae40b5838bf113d9c4abba
Publikováno v:
2020 International Conference on Artificial Intelligence and Signal Processing (AISP).
The challenging problem of image captioning and its solution has been approached using an amalgam of Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs). The results obtained using this Encoder-Decoder architecture have proven t