Výsledky vyhledávání - stack marginalized sparse denoising autoencoder application

Deep feature fusion‐based stacked denoising autoencoder for tag recommendation systems.

Autoři: Fei, Zhengshun Wang, Jinglong Liu, Kangling a další

Zdroj: IET Cyber-systems & Robotics; Sep2023, Vol. 5 Issue 3, p1-16, 16p

Gender Identification Using Marginalised Stacked Denoising Autoencoders on Twitter Data.

Autoři: Al-onazi, Badriyya B. Nour, Mohamed K. Alshamrani, Hassan a další

Zdroj: Intelligent Automation & Soft Computing; 2023, Vol. 36 Issue 3, p2529-2544, 16p

Témata: GENDER differences (Sociology)

Korporace: X Corp.

PID Controller-Guided Attention Neural Network Learning for Fast and Effective Real Photographs Denoising.

Autoři: Ma, Ruijun Zhang, Bob Zhou, Yicong a další

Zdroj: IEEE Transactions on Neural Networks & Learning Systems; Jul2022, Vol. 33 Issue 7, p3010-3023, 14p

Témata: COMPUTER vision, PID controllers, IMAGE denoising, MACHINE learning, ARTIFICIAL neural networks, NOISE measurement, PHOTOGRAPHS, SEXTING

RACMF: robust attention convolutional matrix factorization for rating prediction.

Autoři: Zeng, Biqing Shang, Qi Han, Xuli a další

Zdroj: Pattern Analysis & Applications; Nov2019, Vol. 22 Issue 4, p1655-1666, 12p

Témata: MATRIX decomposition, RECOMMENDER systems, RATINGS of hospitals, CONVOLUTIONAL neural networks, MACHINE learning

Online transferable representation with heterogeneous sources.

Autoři: Li, Yanchao Li, Hao

Zdroj: Applied Intelligence; Jun2020, Vol. 50 Issue 6, p1674-1686, 13p

Témata: KNOWLEDGE transfer, ONLINE education, MODEL railroads, LABELS

Conventional to Deep Learning Methods for Hyperspectral Unmixing: A Review.

Autoři: Zou, Jinlin Qu, Hongwei Zhang, Peng

Zdroj: Remote Sensing; Sep2025, Vol. 17 Issue 17, p2968, 44p

Témata: DEEP learning, REMOTE sensing, ALGORITHMS, METADATA, IMAGE processing, IMAGE reconstruction algorithms

Preprocessing and Denoising Techniques for Electrocardiography and Magnetocardiography: A Review.

Autoři: Jia, Yifan Pei, Hongyu Liang, Jiaqi a další

Zdroj: Bioengineering (Basel); Nov2024, Vol. 11 Issue 11, p1109, 38p

Témata: SIGNAL denoising, MAGNETOCARDIOGRAPHY, SIGNAL processing, ELECTRIC lines, MACHINE learning, DEEP learning

Autoencoders and their applications in machine learning: a survey.

Autoři: Berahmand, Kamal Daneshfar, Fatemeh Salehi, Elaheh Sadat a další

Zdroj: Artificial Intelligence Review; Feb2024, Vol. 57 Issue 2, p1-52, 52p

Representation learning via an integrated autoencoder for unsupervised domain adaptation.

Autoři: Zhu, Yi Wu, Xindong Qiang, Jipeng a další

Zdroj: Frontiers of Computer Science; Oct2023, Vol. 17 Issue 5, p1-13, 13p

Cross-project defect prediction based on autoencoder with dynamic adversarial adaptation: Cross-project defect prediction based on autoencoder with dynamic adversarial adaptation: W. Zhang et al.

Autoři: Zhang, Wen Zhao, Jiangpeng Qin, Guangjie a další

Zdroj: Applied Intelligence; Apr2025, Vol. 55 Issue 5, p1-19, 19p

Témata: CONSTRUCTION defects (Buildings), AUTOENCODERS, PREDICTION models, FORECASTING, COMPUTER software

Fabrication-Aware Synthetic Dataset Generation and Compact Geometric Encoding for Architectural Robotic Assembly of Brick Wall Designs.

Autoři: Rafizadeh, Hamidreza Fialho Leandro Alves Teixeira, Muge Donovan, Jared a další

Zdroj: Buildings (2075-5309); Nov2025, Vol. 15 Issue 22, p4041, 28p

Témata: MACHINE learning, BRICK walls, ARTIFICIAL intelligence, ENCODING, INDUSTRIAL robots, INDUSTRIALIZED building, STRUCTURAL stability

Learning binary codes for fast image retrieval with sparse discriminant analysis and deep autoencoders.

Autoři: Hong, Son An Huu, Quynh Nguyen Viet, Dung Cu a další

Zdroj: Intelligent Data Analysis; 2023, Vol. 27 Issue 3, p809-831, 23p

Témata: IMAGE retrieval, DISCRIMINANT analysis, BINARY codes, COMPUTER programming education, IMAGE databases, LEARNING strategies, CONTENT-based image retrieval

Deep learning approaches to address cold start and long tail challenges in recommendation systems: a systematic review.

Autoři: Jangid, Manisha Kumar, Rakesh

Zdroj: Multimedia Tools & Applications; Feb2025, Vol. 84 Issue 5, p2293-2325, 33p

Témata: RECOMMENDER systems, DEEP learning, PROCESS capability, INFORMATION overload, INFORMATION storage & retrieval systems

Stack Autoencoder Transfer Learning Algorithm for Bearing Fault Diagnosis Based on Class Separation and Domain Fusion.

Autoři: Sun, Meidi Wang, Hui Liu, Ping a další

Zdroj: IEEE Transactions on Industrial Electronics; Mar2022, Vol. 69 Issue 3, p3047-3058, 12p

Témata: FAULT diagnosis, MACHINE learning, DATA distribution, SUPPLY & demand, CLASS differences

Artificial neural network technique for improving prediction of credit card default: A stacked sparse autoencoder approach.

Autoři: Ebiaredoh-Mienye, Sarah. A. Esenogho, E. Swart, Theo G.

Zdroj: International Journal of Electrical & Computer Engineering (2088-8708); Oct2021, Vol. 11 Issue 5, p4392-4402, 11p

Témata: ARTIFICIAL neural networks, DEFAULT (Finance), CREDIT cards, MACHINE learning, MACHINE performance

Unlocking the black box: an in-depth review on interpretability, explainability, and reliability in deep learning.

Autoři: ŞAHiN, Emrullah Arslan, Naciye Nur Özdemir, Durmuş

Zdroj: Neural Computing & Applications; Jan2025, Vol. 37 Issue 2, p859-965, 107p

Témata: RESEARCH personnel, INSTRUCTIONAL systems, COMPARATIVE studies, FAIRNESS, TAXONOMY, DEEP learning

Discriminative Autoencoder for Feature Extraction: Application to Character Recognition.

Autoři: Gogna, Anupriya Majumdar, Angshul

Zdroj: Neural Processing Letters; Jun2019, Vol. 49 Issue 3, p1723-1735, 13p

Témata: PATTERN recognition systems, FEATURE extraction, IMAGE recognition (Computer vision), SUPERVISED learning, ARCHITECTURE

Mitigation of Through-Wall Distortions of Frontal Radar Images Using Denoising Autoencoders.

Autoři: Vishwakarma, Shelly Ram, Shobha Sundar

Zdroj: IEEE Transactions on Geoscience & Remote Sensing; Sep2020, Vol. 58 Issue 9, p6650-6663, 14p

Témata: IMAGE denoising, RADAR, ARRAY processing, BISTATIC radar, MIMO radar, DOPPLER radar, FINITE differences

Foundations and Innovations in Data Fusion and Ensemble Learning for Effective Consensus.

Autoři: Du, Ke-Lin Zhang, Rengong Jiang, Bingchun a další

Zdroj: Mathematics (2227-7390); Feb2025, Vol. 13 Issue 4, p587, 49p

Témata: ENSEMBLE learning, MULTISENSOR data fusion, RANDOM forest algorithms, MACHINE learning, RESEARCH personnel, DEEP learning

WIRELESS ECG MONITORING SYSTEM.

Autoři: Bhilare, Aditi S. Kamble, Mansi G. Shah, P. P.

Zdroj: International Scientific Journal of Engineering & Management; Apr2025, Vol. 4 Issue 4, p1-2, 2002p

Témata: PATIENT monitoring, EARLY diagnosis, ACQUISITION of data, DATA transmission systems, DIAGNOSIS