Výsledky vyhľadávania - Contractive Autoencoder*

Pilots' Fatigue Status Recognition Using Deep Contractive Autoencoder Network Autor Wu, Edmond Q., Peng, X. Y., Zhang, Caizhi Z., Lin, J. X., Sheng, Richard S. F.

“…The evaluation of pilots' fatigue status is of substantial significance in aviation safety, which faces two major issues. They are how to get the fatigue…”
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Improved network intrusion classification with attention-assisted bidirectional LSTM and optimized sparse contractive autoencoders Autor Bi, Jing, Guan, Ziyue, Yuan, Haitao, Zhang, Jia

“… SABD integrates Stacked sparse contractive autoencoders (SSCA), Attention-based Bidirectional long-term and short-term memory (LSTM…”
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Deep embedding clustering based on contractive autoencoder Autor Diallo, Bassoma, Hu, Jie, Li, Tianrui, Khan, Ghufran Ahmad, Liang, Xinyan, Zhao, Yimiao

“… To that end, we first introduce Contractive Autoencoders. Then we propose a deep embedding clustering framework based on contractive autoencoder (DECCA…”
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Online spike sorting via deep contractive autoencoder Autor Radmanesh, Mohammadreza, Rezaei, Ahmad Asgharian, Jalili, Mahdi, Hashemi, Alireza, Goudarzi, Morteza Moazami

“…Spike sorting – the process of separating spikes from different neurons – is often the first and most critical step in the neural data analysis pipeline…”
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Deep Learning and Superpixel Feature Extraction Based on Contractive Autoencoder for Change Detection in SAR Images Autor Lv, Ning, Chen, Chen, Qiu, Tie, Sangaiah, Arun Kumar

“… In this paper, a feature learning method using a stacked contractive autoencoder (sCAE) is presented to extract the temporal change feature from superpixel with noise suppression…”
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An automatic and robust features learning method for rotating machinery fault diagnosis based on contractive autoencoder Autor Shen, Changqing, Qi, Yumei, Wang, Jun, Cai, Gaigai, Zhu, Zhongkui

“… Contractive autoencoder (CAE) is a potential tool to grasp the internal factors and directly obtain the hidden robust features by penalizing the Frobenius norm of the Jacobian matrix of the hidden…”
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Zero-day Ransomware Attack Detection using Deep Contractive Autoencoder and Voting based Ensemble Classifier Autor Zahoora, Umme, Rajarajan, Muttukrishnan, Pan, Zahoqing, Khan, Asifullah

“… (IS). In this regard, this work presents a new Deep Contractive Autoencoder based Attribute Learning (DCAE-ZSL…”
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Fusing deep and hand-crafted features by deep canonically correlated contractive autoencoder for offline signature verification Autor Zhao, Xingbiao, Zheng, Lidong, Yuan, Panli, Zheng, Yuchen

“…Handwritten signatures are currently the most widely used and recognized form of identity authorization, which is a significant way for individuals to express…”
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XAInomaly: Explainable and interpretable Deep Contractive Autoencoder for O-RAN traffic anomaly detection Autor Basaran, Osman Tugay, Dressler, Falko

“…Generative Artificial Intelligence (AI) techniques have become integral part in advancing next generation wireless communication systems by enabling…”
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Multimodal video classification with stacked contractive autoencoders Autor Liu, Yanan, Feng, Xiaoqing, Zhou, Zhiguang

“…, stacked contractive autoencoders) for video classification. Considering the three modalities in video, i.e…”
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Learning 3D faces from 2D images via Stacked Contractive Autoencoder Autor Zhang, Jian, Li, Ke, Liang, Yun, Li, Na

“… the counterpart feature. During the course of training, we learn 2D and 3D subspaces through Stacked Contractive Autoencoders (SCAE…”
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Zero-day attack detection with a Dynamic-Weighted Contractive Autoencoder and GAN-based evaluation Autor Singha, M. Franckie, Patgiri, Ripon, Shamsi, Zeba, Singh, Laiphrakpam Dolendro

“… This research proposes a novel method for zero-day attacks with an adaptive loss-based Dynamic-Weighted Contractive Autoencoder (DW-CAE…”
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Robust feature learning using contractive autoencoders for multi-omics clustering in cancer subtyping Autor Guo, Mengke, Ye, Xiucai, Huang, Dong, Sakurai, Tetsuya

“…•We propose a novel multi-omics framework using contractive autoencoder for robust feature extraction…”
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Small Target Detection in a Radar Surveillance System Using Contractive Autoencoders Autor Wagner, Simon, Johannes, Winfried, Qosja, Denisa, Bruggenwirth, Stefan

“…With the rapid development of unpiloted aerial vehicles (UAVs), also known as drones, in recent years, the need for surveillance systems that are able to…”
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A deep contractive autoencoder for solving multiclass classification problems Autor Aamir, Muhammad, Mohd Nawi, Nazri, Wahid, Fazli, Mahdin, Hairulnizam

“…Contractive auto encoder (CAE) is on of the most robust variant of standard Auto Encoder (AE…”
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IUAutoTimeSVD++: A Hybrid Temporal Recommender System Integrating Item and User Features Using a Contractive Autoencoder Autor Azri, Abdelghani, Haddi, Adil, Allali, Hakim

“… Our model utilizes a contractive autoencoder…”
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Denoising-Contractive Autoencoder for Robust Device-Free Occupancy Detection Autor Ng, Pai Chet, She, James

“… To this end, we propose denoising-contractive autoencoder (DCAE) to jointly deal with these two issues, by learning a robust fingerprint prior to device-free occupancy detection…”
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Leveraging Contractive Autoencoders for Time-Efficient Rare Cyberattack Detection Autor Danasabe, Abubakar, Kaleem, Zeeshan, Muhammad, Afaq, El-Maleh, Aiman, Yuen, Chau, Jamalipour, Abbas

“… The Single-Layer Contractive Autoencoder (SLCAE) ensures efficient data representation by minimizing redundancy while preserving critical attack patterns…”
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Advancing Network Anomaly Detection: An Ensemble Approach Combining Optimized Contractive Autoencoders and K - Means Clustering Autor Aktar, Sharmin, Nur, Abdullah Yasin

“… We propose an innovative model that combines the strengths of Contractive Autoencoders (CAEs) and K-means clustering, specifically designed for effective anomaly detection in network environments…”
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Software Defect Prediction Based on Stacked Contractive Autoencoder and Multi-objective Optimization Autor Zhang, Nana, Zhu, Kun, Ying, Shi, Wang, Xu

“…—Stacked Contractive AutoEncoder (SCAE) to extract the robust deep semantic features from the original defect features, which has stronger discrimination capacity for different classes…”
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