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检索条件"主题词=Autoencoder"
4298 条 记 录,以下是3921-3930 订阅
Incrementing Adversarial Robustness with Autoencoding for Machine Learning Model Attacks  27
Incrementing Adversarial Robustness with Autoencoding for Ma...
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27th Signal Processing and Communications Applications Conference (SIU)
作者: Sivaslioglu, Salved Catak, Ferhat Ozgur Gul, Ensar TUBITAK BILGEM Kocaeli Turkey TUBITAK BILGEM Siber Guvenl Enstitusu Kocaeli Turkey Istanbul Sehir Univ Bilgi Guvenligi Muhendisligi Istanbul Turkey
Nowadays, machine learning is being used widely. There have also been attacks towards machine learning process. In this study, robustness against machine learning model attacks which cause many results such as misclas... 详细信息
来源: 评论
Who should bid higher, NS or WE, in a given Bridge deal?
Who should bid higher, NS or WE, in a given Bridge deal?
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International Joint Conference on Neural Networks (IJCNN)
作者: Maridziuk, Jacek Suchan, Jakub Warsaw Univ Technol Fac Math & Informat Sci Warsaw Poland
The paper proposes a neural model for a direct comparison of the two so-called Double Dummy Bridge Problem (DDBP) instances, along with a practical use-case for determining which pair, NS or WE, should propose the hig... 详细信息
来源: 评论
DrivAER: Identification of driving transcriptional programs in single-cell RNA sequencing data
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GIGASCIENCE 2020年 第12期9卷 giaa122页
作者: Simon, Lukas M. Yan, Fangfang Zhao, Zhongming Univ Texas Hlth Sci Ctr Houston Ctr Precis Hlth Sch Biomed Informat 7000 Fannin St Houston TX 77030 USA Univ Texas Hlth Sci Ctr Houston Human Genet Ctr Sch Publ Hlth 7000 Fannin St Houston TX 77030 USA MD Anderson Canc Ctr UTHlth Grad Sch Biomed Sci 6767 Bertner Ave Houston TX 77030 USA Vanderbilt Univ Dept Biomed Informat Med Ctr 2525 West End Nashville TN 37203 USA
Background: Single-cell RNA sequencing (scRNA-seq) unfolds complex transcriptomic datasets into detailed cellular maps. Despite recent success, there is a pressing need for specialized methods tailored towards the fun... 详细信息
来源: 评论
AN END-TO-END LEARNING APPROACH FOR MULTIMODAL EMOTION RECOGNITION: EXTRACTING COMMON AND PRIVATE INFORMATION
AN END-TO-END LEARNING APPROACH FOR MULTIMODAL EMOTION RECOG...
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IEEE International Conference on Multimedia and Expo (ICME)
作者: Ma, Fei Zhang, Wei Li, Yang Huang, Shao-Lun Zhang, Lin Tsinghua Univ Tsinghua Berkeley Shenzhen Inst Beijing Peoples R China
Multimodal emotion recognition is important for facilitating efficient interaction between humans and machines. To better detect emotional states from multimodal data, we need to effectively extract both the common in... 详细信息
来源: 评论
Design of a Computationally Economical Image Classifier using Generic Features
Design of a Computationally Economical Image Classifier usin...
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IEEE Congress on Evolutionary Computation (IEEE CEC)
作者: Roy, Rohan Basu Roy, Anisha Halder Konar, Amit Nagar, Atulya Univ Calcutta Inst Radio Phys & Elect Kolkata W Bengal India Jadavpur Univ Dept Elect & Telecommun Engn Kolkata W Bengal India Liverpool Hope Univ Dept Math & Comp Sci Liverpool Merseyside England
In this paper,we propose an image classification technique which uses a simple autoencoder with a regularizer. Nowadays, Convolutional Neural Networks (CNN) are primarily used for image classification. Our method can ... 详细信息
来源: 评论
Learning Static and Dynamic Features for Collaborative Filtering  10
Learning Static and Dynamic Features for Collaborative Filte...
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10th IEEE International Conference on Software Engineering and Service Science (ICSESS)
作者: Yang, Xueyao Jiang, Hong East China Normal Univ Sch Comp Sci & Software Engn Shanghai Peoples R China
User preferences are influenced by the purchased products, and ratings of products are also related to theirs public praises. Dynamic latent representations can be learned from these sequence information. Researches s... 详细信息
来源: 评论
Improving Spectral Clustering with Deep Embedding and Cluster Estimation  19
Improving Spectral Clustering with Deep Embedding and Cluste...
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19th IEEE International Conference on Data Mining (ICDM)
作者: Duan, Liang Aggarwal, Charu Ma, Shuai Sathe, Saket Beihang Univ SKLSDE Lab Beijing Peoples R China Beijing Adv Innovat Ctr Big Data & Brain Comp Beijing Peoples R China IBM TJ Watson Res Ctr New York NY USA
Spectral clustering is one of the most popular modern clustering algorithms. It is easy to implement, can be solved efficiently, and very often outperforms other traditional clustering algorithms such as k-means. Howe... 详细信息
来源: 评论
MADAFE: Malicious Account Detection on Twitter with Automated Feature Extraction  11
MADAFE: Malicious Account Detection on Twitter with Automate...
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11th IEEE International Conference on Wireless Communications and Signal Processing (WCSP)
作者: Yue, Hao Zhou, Lijie Xue, Kaiping Li, Hongning San Francisco State Univ Dept Comp Sci San Francisco CA 94132 USA Univ Sci & Technol China Sch Cybersecur Hefei Peoples R China Xidian Univ Telecommun Engn Dept Xian Peoples R China
Nowadays, more and more massive cyber-attacks have been launched over social networks. Using compromised or fake accounts, criminals can exploit the inherent trust between connected users to effectively spread malicio... 详细信息
来源: 评论
Fraud Detection using Machine Learning and Deep Learning
Fraud Detection using Machine Learning and Deep Learning
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International Conference on Computational Intelligence and Knowledge Economy (ICCIKE)
作者: Raghavan, Pradheepan El Gayar, Neamat Heriot Watt Univ Sch Math & Comp Sci Dubai U Arab Emirates
Frauds are known to be dynamic and have no patterns, hence they are not easy to identify. Fraudsters use recent technological advancements to their advantage. They somehow bypass security checks, leading to the loss o... 详细信息
来源: 评论
An Encrypted Malicious Traffic Detection System Based On Neural Network
An Encrypted Malicious Traffic Detection System Based On Neu...
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International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC)
作者: Yu, Tangda Zou, Futai Li, Linsen Yi, Ping Shanghai Jiao Tong Univ Sch Cyber Secur Shanghai Peoples R China
In recent years, with the widespread use of encrypted traffic communication technology, network traffic encryption has been gradually becoming a standard of communication. This phenomenon has a great impact on traditi... 详细信息
来源: 评论