Výsledky vyhľadávania - "Contractive autoencoder"

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

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

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

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

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

Noise Cleaning of ECG on Edge Device Using Convolutional Sparse Contractive Autoencoder

Autori: Rohan Banerjee Ayan Mukherjee Avik Ghose

Zdroj: 2022 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops). :491-496

Predmety: 0206 medical engineering, 02 engineering and technology

Zero-day Ransomware Attack Detection using Deep Contractive Autoencoder and Voting based Ensemble Classifier

Autori: Umme Zahoora Muttukrishnan Rajarajan Zahoqing Pan a ďalší

Zdroj: Applied Intelligence. 52:13941-13960

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

Online spike sorting via deep contractive autoencoder

Autori: Mohammadreza Radmanesh Ahmad Asgharian Rezaei Mahdi Jalili a ďalší

Zdroj: Neural Networks. 155:39-49

Predmety: Neurons, 03 medical and health sciences, 0302 clinical medicine, Models, Neurological, Action Potentials, Signal Processing, Computer-Assisted, Algorithms

Prístupová URL adresa: https://www.biorxiv.org/content/biorxiv/early/2021/04/24/2021.04.23.441225.1.full.pdf
https://pubmed.ncbi.nlm.nih.gov/36041279
https://www.biorxiv.org/content/biorxiv/early/2021/04/24/2021.04.23.441225.1.full.pdf
https://www.biorxiv.org/content/10.1101/2021.04.23.441225v2
https://europepmc.org/article/PPR/PPR316570

Deep embedding clustering based on contractive autoencoder

Autori: Bassoma Diallo Yimiao Zhao Xinyan Liang a ďalší

Zdroj: Neurocomputing. 433:96-107

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

Prístupová URL adresa: https://dblp.uni-trier.de/db/journals/ijon/ijon433.html#DialloHLKLZ21
https://doi.org/10.1016/j.neucom.2020.12.094
https://www.sciencedirect.com/science/article/pii/S0925231220320063

Hyperspectral Image Classification Based on Stacked Contractive Autoencoder Combined With Adaptive Spectral-Spatial Information

Autori: Pengyue Guo Zhenbing Liu Haoxiang Lu a ďalší

Zdroj: IEEE Access, Vol 9, Pp 96404-96415 (2021)

Predmety: Hyperspectral image, logistic regression, 0202 electrical engineering, electronic engineering, information engineering, Electrical engineering. Electronics. Nuclear engineering, 02 engineering and technology, adaptive spectral-spatial information, image classification, TK1-9971

Prístupová URL adresa: https://ieeexplore.ieee.org/ielx7/6287639/6514899/09475983.pdf
https://doaj.org/article/03c93a62c2924e2285671a77fb64f818
https://dblp.uni-trier.de/db/journals/access/access9.html#GuoLLW21
https://doi.org/10.1109/ACCESS.2021.3095265
https://ieeexplore.ieee.org/document/9475983/

A Hybrid Deep Contractive Autoencoder and Restricted Boltzmann Machine Approach to Differentiate Representation of Female Brain Disorder

Autori: Abeer M. Mahmoud Hanen Karamti Fadwa Alrowais

Zdroj: Procedia Computer Science. 176:1033-1042

Predmety: 03 medical and health sciences, 0302 clinical medicine, 05 social sciences, 0501 psychology and cognitive sciences

Prístupová URL adresa: https://www.sciencedirect.com/science/article/pii/S1877050920319992
https://dblp.uni-trier.de/db/conf/kes/kes2020.html#MahmoudAK20
http://www.sciencedirect.com/science/article/pii/S1877050920319992

A deep contractive autoencoder for solving multiclass classification problems

Autori: Aamir, Muhammad Mohd Nawi, Nazri Wahid, Fazli a ďalší

Zdroj: Evolutionary Intelligence. 14:1619-1633

Predmety: 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, TK7800-8360 Electronics, 02 engineering and technology

Popis súboru: text

Prístupová URL adresa: https://dblp.uni-trier.de/db/journals/evi/evi14.html#AamirNWM21
https://link.springer.com/article/10.1007/s12065-020-00424-6
https://doi.org/10.1007/s12065-020-00424-6

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

Autori: Azri, Abdelghani Haddi, Adil Allali, Hakim

Zdroj: Information. Apr2024, Vol. 15 Issue 4, p204. 21p.

Predmety: *Recommender systems, *Feature extraction, Matrix decomposition, Deep learning

IU-AutoSVD++: An Item–User Features-Based Recommender System Using Contractive Autoencoder and Matrix Factorization

Autori: Abdelghani Azri Adil Haddi Hakim Allali

Zdroj: Lecture Notes in Networks and Systems ISBN: 9789811916090

Denoising-Contractive Autoencoder for Robust Device-Free Occupancy Detection

Autori: Pai Chet Ng James She

Zdroj: IEEE Internet of Things Journal. 6:9572-9582

Predmety: Occupancy detection, 0202 electrical engineering, electronic engineering, information engineering, Autoencoder, 02 engineering and technology, Bluetooth low energy (BLE) beacon

Prístupová URL adresa: https://ieeexplore.ieee.org/document/8766808
https://dblp.uni-trier.de/db/journals/iotj/iotj6.html#NgS19