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检索条件"主题词=Variational autoencoder"
1534 条 记 录,以下是301-310 订阅
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Towards an Effective Intrusion Detection Model Using Focal Loss variational autoencoder for Internet of Things (IoT)
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SENSORS 2022年 第15期22卷 5822页
作者: Khanam, Shapla Ahmedy, Ismail Idris, Mohd Yamani Idna Jaward, Mohamed Hisham Univ Malaya Fac Comp Sci & Informat Technol Dept Comp Syst & Technol Kuala Lumpur 50603 Malaysia Univ Malaya Fac Comp Sci & Informat Technol Ctr Mobile Cloud Comp Kuala Lumpur 50603 Malaysia Monash Univ Malaysia Sch Engn Bandar Sunway 47500 Malaysia
As the range of security attacks increases across diverse network applications, intrusion detection systems are of central interest. Such detection systems are more crucial for the Internet of Things (IoT) due to the ... 详细信息
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Image Super-Resolution Based on variational autoencoder and Channel Attention  23
Image Super-Resolution Based on Variational Autoencoder and ...
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Proceedings of the 2023 6th International Conference on Artificial Intelligence and Pattern Recognition
作者: Jian Xu Yurong Zhao Xi'an University of Posts and Telecommunications China
Super-resolution (SR) method based on generative adversarial networks (GANs) has achieved excellent performance in both visual perception and image quality. However, there is still room for improvement. Therefore, we ... 详细信息
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Dimensionality reduction and visualization of single-cell RNA-seq data with an improved deep variational autoencoder
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BRIEFINGS IN BIOINFORMATICS 2023年 第3期24卷 bbad152-bbad152页
作者: Jiang, Jing Xu, Junlin Liu, Yuansheng Song, Bosheng Guo, Xiulan Zeng, Xiangxiang Zou, Quan Hunan Univ Changsha Peoples R China Zhangjiajie Peoples Hosp Zhangjiajie Peoples R China Hunan Univ Coll Comp Sci & Elect Engn Changsha Peoples R China Univ Elect Sci & Technol China Inst Fundamental & Frontier Sci Chengdu Peoples R China
Single-cell RNA sequencing (scRNA-seq) is a revolutionary breakthrough that determines the precise gene expressions on individual cells and deciphers cell heterogeneity and subpopulations. However, scRNA-seq data are ... 详细信息
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Nearest Neighbours Graph variational autoencoder
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ALGORITHMS 2023年 第3期16卷 143-143页
作者: Arsini, Lorenzo Caccia, Barbara Ciardiello, Andrea Giagu, Stefano Mancini Terracciano, Carlo Sapienza Univ Rome Dept Phys I-00185 Rome Italy INFN Sect Rome I-00185 Rome Italy Ist Super Sanita I-00161 Rome Italy
Graphs are versatile structures for the representation of many real-world data. Deep Learning on graphs is currently able to solve a wide range of problems with excellent results. However, both the generation of graph... 详细信息
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Detecting Web Attacks From HTTP Weblogs Using variational LSTM autoencoder Deviation Network
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IEEE TRANSACTIONS ON SERVICES COMPUTING 2024年 第5期17卷 2210-2222页
作者: Jagat, Rikhi Ram Sisodia, Dilip Singh Singh, Pradeep Natl Inst Technol Raipur Dept Comp Sci & Engn Raipur 492010 India
Web attacks penetrate the web applications' security through unauthorized access to sensitive information, disrupting services, and stealing data. Conventionally, rule-based statistical methods distinguish attacke... 详细信息
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Adversarial and Contrastive variational autoencoder for Sequential Recommendation  21
Adversarial and Contrastive Variational Autoencoder for Sequ...
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30th World Wide Web Conference (WWW)
作者: Xie, Zhe Liu, Chengxuan Zhang, Yichi Lu, Hongtao Wang, Dong Ding, Yue Shanghai Jiao Tong Univ Dept Comp Sci & Engn Shanghai Peoples R China Shanghai Jiao Tong Univ Sch Cyber Sci & Engn Shanghai Peoples R China Shanghai Jiao Tong Univ Univ Michigan Shanghai Jiao Tong Univ Joint Inst Shanghai Peoples R China Shanghai Jiao Tong Univ Sch Software Shanghai Peoples R China
Sequential recommendation as an emerging topic has attracted increasing attention due to its important practical significance. Models based on deep learning and attention mechanism have achieved good performance in se... 详细信息
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Bilateral variational autoencoder for Collaborative Filtering  21
Bilateral Variational Autoencoder for Collaborative Filterin...
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14th ACM International Conference on Web Search and Data Mining (WSDM)
作者: Quoc-Tuan Truong Salah, Aghiles Lauw, Hady W. Singapore Management Univ Sch Informat Syst Singapore Singapore
Preference data is a form of dyadic data, with measurements associated with pairs of elements arising from two discrete sets of objects. These are users and items, as well as their interactions, e.g., ratings. We are ... 详细信息
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Convolutional One-Dimensional variational autoencoder Based Intrusion detection  19
Convolutional One-Dimensional Variational Autoencoder Based ...
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6th IEEE Cyber Science and Technology Congress (CyberSciTech)
作者: Wu, Kailin Cao, MengTing Wang, Pan Wang, ZiXuan Nanjing Univ Posts & Telecommun Sch Modern Posts Nanjing Peoples R China
Intrusion detection technology is an important part of network security. It detects various intrusions by collecting and analyzing various information on the network, which is the focus of maintaining network *** the ... 详细信息
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DISENTANGLED SPEECH REPRESENTATION LEARNING BASED ON FACTORIZED HIERARCHICAL variational autoencoder WITH SELF-SUPERVISED OBJECTIVE  31
DISENTANGLED SPEECH REPRESENTATION LEARNING BASED ON FACTORI...
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IEEE 31st International Workshop on Machine Learning for Signal Processing (MLSP)
作者: Xie, Yuying Arildsen, Thomas Tan, Zheng-Hua Aalborg Univ Dept Elect Syst Aalborg Denmark
Disentangled representation learning aims to extract explanatory features or factors and retain salient information. Factorized hierarchical variational autoencoder (FHVAE) presents a way to disentangle a speech signa... 详细信息
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Generating and Blending Game Levels via Quality-Diversity in the Latent Space of a variational autoencoder  21
Generating and Blending Game Levels via Quality-Diversity in...
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16th International Conference on the Foundations of Digital Games (FDG)
作者: Sarkar, Anurag Cooper, Seth Northeastern Univ Boston MA 02115 USA
Several works have demonstrated the use of variational autoencoders (VAEs) for generating levels in the style of existing games and blending levels across different games. Further, quality-diversity (QD) algorithms ha... 详细信息
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