Výsledky vyhledávání - Classifier Discriminative Autoencoder

Noise-Robust Spoofed Speech Detection Using Discriminative Autoencoder

Autoři: Gökay Dişken Zekeriya Tüfekci

Zdroj: Volume: 19, Issue: 2 167-174
Celal Bayar University Journal of Science
Celal Bayar Üniversitesi Fen Bilimleri Dergisi

Témata: Engineering, Mühendislik, Deep learning, denoising autoencoder, i-vector, spoofing detection

Popis souboru: application/pdf

Přístupová URL adresa: https://dergipark.org.tr/tr/pub/cbayarfbe/issue/78384/1132319

Noise-Robust Spoofed Speech Detection Using Discriminative Autoencoder.

Autoři: Dişken, Gökay Tüfekçi, Zekeriya

Zdroj: Celal Bayar University Journal of Science; 2023, Vol. 19 Issue 2, p167-174, 8p

Témata: SPEECH enhancement, VECTORS (Calculus), AUTOENCODERS, SIGNAL-to-noise ratio, DEEP learning, MACHINE learning, ARTIFICIAL neural networks, RESEARCH personnel, AUTOMATIC speech recognition

Few-Shot Network Intrusion Detection Using Discriminative Representation Learning with Supervised Autoencoder.

Autoři: Iliyasu, Auwal Sani Abdurrahman, Usman Alhaji Zheng, Lirong

Zdroj: Applied Sciences (2076-3417); Mar2022, Vol. 12 Issue 5, p2351, 17p

Témata: SUPERVISED learning, DEEP learning, LEARNING ability, SCIENTIFIC community

Few-Shot Network Intrusion Detection Using Discriminative Representation Learning with Supervised Autoencoder

Autoři: Auwal Sani Iliyasu Usman Alhaji Abdurrahman Lirong Zheng

Zdroj: Applied Sciences, Vol 12, Iss 5, p 2351 (2022)

Témata: network intrusion detection, few-shot learning, deep learning, discriminative autoencoder, Technology, Engineering (General). Civil engineering (General), TA1-2040, Biology (General), QH301-705.5, Physics, QC1-999, Chemistry, QD1-999

Popis souboru: electronic resource

Relation: https://www.mdpi.com/2076-3417/12/5/2351; https://doaj.org/toc/2076-3417

Přístupová URL adresa: https://doaj.org/article/2aaa5325317f4144ba14315c434c15d1

Self-Supervised Learning Meets Custom Autoencoder Classifier: A Semi-Supervised Approach for Encrypted Traffic Anomaly Detection

Autoři: A. Ramzi Bahlali Abdelmalik Bachir Abdeldjalil Labed

Zdroj: IEEE Access, Vol 13, Pp 139141-139154 (2025)

Témata: Autoencoder (AE), anomaly detection (AD), deep learning (DL), intrusion detection, self-supervised learning (SSL), semi-supervised Learning, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

Popis souboru: electronic resource

Relation: https://ieeexplore.ieee.org/document/11113262/; https://doaj.org/toc/2169-3536

Přístupová URL adresa: https://doaj.org/article/859fa2b9eeba468ebcd0b41bd043c7ea

Variational autoencoder‐guided data augmentation for imbalanced medical diagnostics

Autoři: Mohammed S. Al-zahrani Fawaz W. Alsaade Fuad E. Alsaadi

Zdroj: Results in Engineering, Vol 27, Iss , Pp 107011- (2025)

Témata: Data augmentation, Over-sampling, Support vector classifier, Particle swarm algorithm, Random forest, Mass spectrometry, Technology

Popis souboru: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2590123025030671; https://doaj.org/toc/2590-1230

Přístupová URL adresa: https://doaj.org/article/bfdbb0a100094e02904278671f84e88c

Sequential Variational Autoencoder with Adversarial Classifier for Video Disentanglement

Autoři: Takeshi Haga Hiroshi Kera Kazuhiko Kawamoto

Zdroj: Sensors, Vol 23, Iss 5, p 2515 (2023)

Témata: adversarial training, auxiliary adversarial classifier, inductive biases, sequential variational autoencoder, video disentanglement, Chemical technology, TP1-1185

Popis souboru: electronic resource

Relation: https://www.mdpi.com/1424-8220/23/5/2515; https://doaj.org/toc/1424-8220

Přístupová URL adresa: https://doaj.org/article/e6f5521f78274178bdf9bcf883dce619

Self-supervised deep learning approaches to speaker recognition

Autoři: Khan, Umair

Přispěvatelé: University/Department: Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions

Thesis Advisors: Hernando Pericás, Francisco Javier

Zdroj: TDX (Tesis Doctorals en Xarxa)

Témata: Àrees temàtiques de la UPC::Enginyeria de la telecomunicació

Time: 621.3

Popis souboru: application/pdf

Přístupová URL adresa: http://hdl.handle.net/10803/671496
https://dx.doi.org/10.5821/dissertation-2117-345311

Learning Privacy-Preserving Student Networks via Discriminative-Generative Distillation

Autoři: Ge, Shiming Liu, Bochao Wang, Pengju a další

Témata: Computer Science - Machine Learning, Computer Science - Artificial Intelligence, Computer Science - Cryptography and Security, text

URL: http://arxiv.org/abs/2409.02404

Latent Feature‐Based Type 2 Diabetes Prediction Using a Hybrid Stacked Sparse Autoencoder and Machine Learning Models

Autoři: Abdussamad Hanita Daud Rajalingam Sokkalingam a další

Zdroj: Engineering Reports, Vol 7, Iss 9, Pp n/a-n/a (2025)

Témata: autoencoder, hybrid model, machine learning models, sparse data, Type 2 diabetes prediction, Engineering (General). Civil engineering (General), TA1-2040, Electronic computers. Computer science, QA75.5-76.95

Popis souboru: electronic resource

Relation: https://doaj.org/toc/2577-8196

Přístupová URL adresa: https://doaj.org/article/ce842a66c11744049ad6331118fec323

Comparative analysis of autoencoder architectures for breast cancer detection using dynamic infrared thermography

Autoři: Burcu Acar Demirci Mehmet Engin Erkan Zeki Engin

Zdroj: Engineering Science and Technology, an International Journal, Vol 72, Iss , Pp 102225- (2025)

Témata: Breast cancer, Dynamic ITI, Autoencoder, Vanilla AE, Convolutional AE, Variational AE, Engineering (General). Civil engineering (General), TA1-2040

Popis souboru: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2215098625002800; https://doaj.org/toc/2215-0986

Přístupová URL adresa: https://doaj.org/article/5eb5fa4496fd4748a12fd949cac59345

Masked Autoencoders are Parameter-Efficient Federated Continual Learners

Autoři: He, Yuchen Wang, Xiangfeng

Témata: Computer Science - Computer Vision and Pattern Recognition, text

URL: http://arxiv.org/abs/2411.01916

Offline Signature Verification Based on Feature Disentangling Aided Variational Autoencoder

Autoři: Zhang, Hansong Guo, Jiangjian Li, Kun a další

Témata: Computer Science - Computer Vision and Pattern Recognition, text

URL: http://arxiv.org/abs/2409.19754

Latent Enhancing AutoEncoder for Occluded Image Classification

Autoři: Kotwal, Ketan Deshmukh, Tanay Gopal, Preeti

Témata: Computer Science - Computer Vision and Pattern Recognition, text

URL: http://arxiv.org/abs/2402.06936

Noise-Robust Spoofed Speech Detection Using Discriminative Autoencoder

Autoři: Dişken, Gökay Tüfekci, Zekeriya

Zdroj: Volume: 19, Issue: 2167-174 ; 1305-130X ; 1305-1385 ; Celal Bayar University Journal of Science ; Celal Bayar Üniversitesi Fen Bilimleri Dergisi

Témata: Deep learning, denoising autoencoder, i-vector, spoofing detection, Engineering, Mühendislik

Popis souboru: application/pdf

Relation: https://dergipark.org.tr/tr/download/article-file/2493033; https://dergipark.org.tr/tr/pub/cbayarfbe/issue/78384/1132319

Dostupnost: https://dergipark.org.tr/tr/pub/cbayarfbe/issue/78384/1132319

A Classifier Adaptation and Adversarial Learning Joint Framework for Cross-Scene Coastal Wetland Mapping on Hyperspectral Imagery

Autoři: Yi Wang Weiwei Sun Xiangchao Meng a další

Zdroj: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 18, Pp 24662-24675 (2025)

Témata: Classifier adaptation, coastal wetland mapping, cross-scene classification, domain adaptation (DA), hyperspectral image (HSI), Ocean engineering, TC1501-1800, Geophysics. Cosmic physics, QC801-809

Popis souboru: electronic resource

Relation: https://ieeexplore.ieee.org/document/11143857/; https://doaj.org/toc/1939-1404; https://doaj.org/toc/2151-1535

Přístupová URL adresa: https://doaj.org/article/9d8c24ca7c6a4b6b8810922ebba187f1

Target Tracking System Constructed by ELM-AE and Transfer Representation Learning

Autoři: YANG Zheng, DENG Zhaohong, LUO Xiaoqing, GU Xin, WANG Shitong

Zdroj: Jisuanji kexue yu tansuo, Vol 16, Iss 7, Pp 1633-1648 (2022)

Témata: extreme learning machine (elm), extreme learning machine autoencoder (elm-ae), transfer represen-tation learning (trl), feature adaptation, gaussian naive bayes classifier (gnbc), object tracking, Electronic computers. Computer science, QA75.5-76.95

Popis souboru: electronic resource

Relation: http://fcst.ceaj.org/fileup/1673-9418/PDF/2012028.pdf; https://doaj.org/toc/1673-9418

Přístupová URL adresa: https://doaj.org/article/3044bea47c6a47b289e543cdaea979f8

PATE-AAE: Incorporating Adversarial Autoencoder into Private Aggregation of Teacher Ensembles for Spoken Command Classification

Autoři: Yang, Chao-Han Huck Siniscalchi, Sabato Marco Lee, Chin-Hui

Témata: Computer Science - Sound, Computer Science - Artificial Intelligence, Computer Science - Machine Learning, Computer Science - Neural and Evolutionary Computing, Electrical Engineering and Systems Science - Audio and Speech Processing, text

URL: http://arxiv.org/abs/2104.01271

Myocardium Detection by Deep SSAE Feature and Within-Class Neighborhood Preserved Support Vector Classifier and Regressor

Autoři: Yanmin Niu Lan Qin Xuchu Wang

Zdroj: Sensors, Vol 19, Iss 8, p 1766 (2019)

Témata: myocardium detection, cardiac magnetic resonance, region proposal, support vector classifier and regressor, stacked sparse autoencoder (SSAE), Chemical technology, TP1-1185

Relation: https://www.mdpi.com/1424-8220/19/8/1766; https://doaj.org/toc/1424-8220; https://doaj.org/article/514c027bf42f4be5a00fb438b3d7beee

Dostupnost: https://doi.org/10.3390/s19081766
https://doaj.org/article/514c027bf42f4be5a00fb438b3d7beee

A hybrid 1DCNN-GRU deep learning framework for classifying caprine granulosa cell fertility potential using single-cell transcriptomics.

Autoři: Sananmuang, Thanida Puthier, Denis Chokeshaiusaha, Kaj

Zdroj: Veterinary World. Jul2025, Vol. 18 Issue 7, p1922-1935. 14p.

Témata: Granulosa cells, Fertility, Convolutional neural networks, Transcriptomes, Deep learning, Recurrent neural networks, Goats, Biomarkers