Zobrazeno 1 - 10
of 49
pro vyhledávání: '"Ji, Lixin"'
Autor:
Surjanto, Kezia1 (AUTHOR) ksurjanto@tulane.edu, Ji, Lixin1 (AUTHOR), Boh, Erin2 (AUTHOR), Bitar, Carole2 (AUTHOR)
Publikováno v:
JEADV Clinical Practice. Sep2024, Vol. 3 Issue 4, p1179-1182. 4p.
In this paper, we investigate the effect of different hyperparameters as well as different combinations of hyperparameters settings on the performance of the Attention-Gated Convolutional Neural Networks (AGCNNs), e.g., the kernel window size, the nu
Externí odkaz:
http://arxiv.org/abs/1908.06263
Activation functions play a key role in providing remarkable performance in deep neural networks, and the rectified linear unit (ReLU) is one of the most widely used activation functions. Various new activation functions and improvements on ReLU have
Externí odkaz:
http://arxiv.org/abs/1908.03682
The classification of sentences is very challenging, since sentences contain the limited contextual information. In this paper, we proposed an Attention-Gated Convolutional Neural Network (AGCNN) for sentence classification, which generates attention
Externí odkaz:
http://arxiv.org/abs/1808.07325
Autor:
Chellappa, Karthikeyani, McReynolds, Melanie R., Lu, Wenyun, Zeng, Xianfeng, Makarov, Mikhail, Hayat, Faisal, Mukherjee, Sarmistha, Bhat, Yashaswini R., Lingala, Siddharth R., Shima, Rafaella T., Descamps, Hélène C., Cox, Timothy, Ji, Lixin, Jankowski, Connor, Chu, Qingwei, Davidson, Shawn M., Thaiss, Christoph A., Migaud, Marie E., Rabinowitz, Joshua D., Baur, Joseph A.
Publikováno v:
In Cell Metabolism 6 December 2022 34(12):1947-1959
Publikováno v:
网络与信息安全学报, Vol 8, Iss 1, Pp 63-72 (2022)
With the research in network science, real networks involved are becoming more and more extensive. Redundant error relationships in complex systems, or behaviors that occur deliberately for unusual purposes, such as wrong clicks on webpages, telecomm
Externí odkaz:
https://doaj.org/article/40764356dc6b4e28bd7194d6e07398ac
Publikováno v:
网络与信息安全学报, Vol 6, Iss 2, Pp 116-124 (2020)
Aiming at the requirements for multi-scale Logo detection in natural scene images, a multi-scale Logo detection algorithm based on convolutional neural network was proposed. The algorithm was based on the realization of two-stage object detection. By
Externí odkaz:
https://doaj.org/article/75eae09985154cfdb8b5aedb81a30999
Publikováno v:
Proceedings of SPIE; July 2024, Vol. 13184 Issue: 1 p131844P-131844P-11, 13052568p
Publikováno v:
网络与信息安全学报, Vol 5, Iss 2, Pp 77-87 (2019)
Network representation learning is a bridge between network raw data and network application tasks which aims to map nodes in the network to vectors in the low-dimensional space. These vectors can be used as input to the machine learning model for so
Externí odkaz:
https://doaj.org/article/c999140b7b5a4768bf364db4c6c4ae4e
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