Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Rahul Venkatesh"'
Publikováno v:
2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV).
Autor:
Aaron Liu, Carlos Silva, Campbell Viersen, Yulong Zheng, Martha A. Grover, Rahul Venkatesh, Elsa Reichmanis
Publikováno v:
ACS Materials Letters. 3:1321-1327
Autor:
Rahul Venkatesh, Yulong Zheng, Aaron L. Liu, Haoqun Zhao, Carlos Silva, Christopher J. Takacs, Martha A. Grover, J. Carson Meredith, Elsa Reichmanis
Publikováno v:
Organic Electronics. 117:106779
Autor:
Rahul Venkatesh, J. Carson Meredith, Elsa Reichmanis, Martha A. Grover, Michael McBride, Aaron Liu
Publikováno v:
ACS Applied Polymer Materials. 2:5592-5601
Experimental data from a patent were analyzed to learn about the small molecule additives that were most effective in mitigating the degradation of polyethylene terephthalate. Two sets of molecular...
Autor:
Connor P. Callaway, Aaron L. Liu, Rahul Venkatesh, Yulong Zheng, Myeongyeon Lee, J. Carson Meredith, Martha Grover, Chad Risko, Elsa Reichmanis
Publikováno v:
ACS applied materialsinterfaces. 14(3)
The advent of data analytics techniques and materials informatics provides opportunities to accelerate the discovery and development of organic semiconductors for electronic devices. However, the development of engineering solutions is limited by the
Autor:
Honglin Chen, Rahul Venkatesh, Yoni Friedman, Jiajun Wu, Joshua B. Tenenbaum, Daniel L. K. Yamins, Daniel M. Bear
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031198175
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6a9bbb74387f05f91b3008b3c65cc504
https://doi.org/10.1007/978-3-031-19818-2_41
https://doi.org/10.1007/978-3-031-19818-2_41
Autor:
Rahul Venkatesh, Tejan Karmali, Sarthak Sharma, Aurobrata Ghosh, R. Venkatesh Babu, Laszlo A. Jeni, Maneesh Singh
Deep neural representations of 3D shapes as implicit functions have been shown to produce high fidelity models surpassing the resolution-memory trade-off faced by the explicit representations using meshes and point clouds. However, most such approach
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::efa0baefa57591885c4abdf56f453d4f
Publikováno v:
SocialNLP@ACL
This paper describes the working note on “EmotionX” shared task. It is hosted by SocialNLP 2018. The objective of this task is to detect the emotions, based on each speaker’s utterances that are in English. Taking this as multiclass text classi
Akademický článek
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Conference
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