Výsledky vyhľadávania - Contractive Autoencoder*

Leveraging Contractive Autoencoders for Time-Efficient Rare Cyberattack Detection

Autori: Abubakar Danasabe Zeeshan Kaleem Afaq Muhammad a ďalší

Zdroj: 2025 IEEE 101st Vehicular Technology Conference (VTC2025-Spring). :1-5

Robust feature learning using contractive autoencoders for multi-omics clustering in cancer subtyping

Autori: Mengke, Guo Xiucai, Ye Dong, Huang a ďalší

Zdroj: Methods. 233:52-60

Predmety: Neoplasms, Humans, Cluster Analysis, Genomics, Multiomics, Algorithms, Proportional Hazards Models

Prístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/39577512

XAInomaly: Explainable and Interpretable Deep Contractive Autoencoder for O-RAN Traffic Anomaly Detection

Autori: Basaran, Osman Tugay Dressler, Falko

Témy: Computer Science - Information Theory, text

URL: http://arxiv.org/abs/2502.09194

Robust Anomaly Detection in IoT Networks using Deep SVDD and Contractive Autoencoder

Autori: Sharmin Aktar Abdullah Yasin Nur

Zdroj: 2024 IEEE International Systems Conference (SysCon). :1-8

Advancing Network Anomaly Detection: An Ensemble Approach Combining Optimized Contractive Autoencoders and K - Means Clustering

Autori: Sharmin Aktar Abdullah Yasin Nur

Zdroj: 2024 IEEE 3rd International Conference on Computing and Machine Intelligence (ICMI). :1-5

Zero-day attack detection with a Dynamic-Weighted Contractive Autoencoder and GAN-based evaluation

Autori: M. Franckie Singha Ripon Patgiri Zeba Shamsi a ďalší

Zdroj: Computers and Electrical Engineering. 128:110650

Fusing deep and hand-crafted features by deep canonically correlated contractive autoencoder for offline signature verification

Autori: Xingbiao Zhao Lidong Zheng Panli Yuan a ďalší

Zdroj: Pattern Recognition. 168:111834

Beyond Noise: Incorporating Pre-Trained Contractive Autoencoders for Enhanced GAN-based Tabular Data Creation

Autori: Hesam Fallahian Mohsen Dorodchi Kyle Kreth

Zdroj: 2024 7th International Conference on Information and Computer Technologies (ICICT). :126-132

Small Target Detection in a Radar Surveillance System Using Contractive Autoencoders

Autori: Simon Wagner Winfried Johannes Denisa Qosja a ďalší

Zdroj: IEEE Transactions on Aerospace and Electronic Systems. 60:51-67

Heart Rate Anomaly Detection Using Contractive Autoencoder for Smartwatch-Based Health Monitoring

Autori: Keerthana Mannarapparambil Sivan Shanfeng Hu Nauman Aslam a ďalší

Zdroj: 2023 15th International Conference on Software, Knowledge, Information Management and Applications (SKIMA). :118-123

A COMPARATIVE STUDY OF DIVERSE AUTOENCODER MODELS IN LOCAL GEAR PITTING FAULT DIAGNOSIS

Autori: Mustafa Yurtsever Rafet Can Ümütlü Hasan Öztürk

Zdroj: Volume: 13, Issue: 159-73
Konya Mühendislik Bilimleri Dergisi
Konya Journal of Engineering Sciences

Predmety: Dinamikler, Titreşim ve Titreşim Kontrolü, Dynamics, Vibration and Vibration Control, Contractive Autoencoder, Sparse Autoencoder, Variational Autoencoder, Local Gear Pitting, Fault Diagnosis

Popis súboru: application/pdf

Prístupová URL adresa: https://avesis.deu.edu.tr/publication/details/9a6ec6bd-8c5c-488c-b870-eaf9c1b53c17/oai
https://dergipark.org.tr/tr/pub/konjes/issue/90599/1571234

Fault Diagnosis Method of Rotating Machinery Based on Contractive Autoencoder

Autori: Teng Zhang Dou An

Zdroj: 2023 5th International Conference on Power and Energy Technology (ICPET). :748-753

Software Defect Prediction Based on Stacked Contractive Autoencoder and Multi-objective Optimization

Autori: Shi Ying Kun Zhu Xu Wang a ďalší

Zdroj: Computers, Materials & Continua. 65:279-308

Predmety: Multi-objective optimization, SDG 16 - Peace, Extreme learning machine, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, Deep neural network, Stacked contractive autoencoder, Software defect prediction, Justice and Strong Institutions

Prístupová URL adresa: https://www.narcis.nl/publication/RecordID/oai%3Aresearch.vu.nl%3Apublications%2Fdc0b4190-61bd-420f-a354-00029264f2ea
http://www.techscience.com/cmc/v65n1/39566/pdf
https://www.techscience.com/cmc/v65n1/39566/pdf
https://research.vu.nl/en/publications/software-defect-prediction-based-on-stacked-contractive-autoencod

Deep Clustering Based on Contractive Autoencoder and Self-paced Learning

Autori: HaoRan Bu

Zdroj: 2023 4th International Conference on Computer Vision, Image and Deep Learning (CVIDL). :458-462

XAInomaly: Explainable and interpretable Deep Contractive Autoencoder for O-RAN traffic anomaly detection

Autori: Osman Tugay Basaran Falko Dressler

Zdroj: Computer Networks. 261:111145

Predmety: FOS: Computer and information sciences, Computer Science - Information Theory, Information Theory (cs.IT)

Prístupová URL adresa: http://arxiv.org/abs/2502.09194

A fault diagnosis framework for rotating machinery of marine equipment: A semi-supervised learning framework based on contractive stacked autoencoder

Autori: Penghao Pan Dong Zhao Yueyang Li

Zdroj: Proceedings of the Institution of Mechanical Engineers, Part M: Journal of Engineering for the Maritime Environment. 237:625-636

Predmety: 0209 industrial biotechnology, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

IUAutoTimeSVD++: A Hybrid Temporal Recommender System Integrating Item and User Features Using a Contractive Autoencoder

Autori: Abdelghani Azri Adil Haddi Hakim Allali

Zdroj: Information, Vol 15, Iss 4, p 204 (2024)

Predmety: recommendation, collaborative filtering, feature extraction, contractive autoencoder, 0202 electrical engineering, electronic engineering, information engineering, deep learning, Information technology, 02 engineering and technology, matrix factorization, T58.5-58.64

Prístupová URL adresa: https://doaj.org/article/3eb536a5e7a540d0b1fc18894dcbc6eb

Generalized Zero-shot Learning Fault Diagnosis Framework Based on Anomaly Detection and Contractive Stacked Autoencoder

Autori: Penghao Pan Yueyang Li Dong Zhao

Zdroj: 2022 China Automation Congress (CAC). :2427-2432

Hybrid Network Intrusion Detection with Stacked Sparse Contractive Autoencoders and Attention-based Bidirectional LSTM

Autori: Jing Bi Ziyue Guan Haitao Yuan

Zdroj: 2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC). :6-11

Predmety: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Network intrusion detection based on Contractive Sparse Stacked Denoising Autoencoder

Autori: Yang Yang Li Wencui Meng Huiping a ďalší

Zdroj: 2021 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB). :1-6