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Coal classification method based on visible-infrared spectroscopy and an improved multilayer extreme learning machine

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Learning local discriminative representations via extreme learning machine for machine fault diagnosis

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A Review of multilayer extreme learning machine neural networks

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A Combination Interval Prediction Model Based on Biased Convex Cost Function and Auto-Encoder in Solar Power Prediction

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A joint residual network with paired ReLUs activation for image super-resolution

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A comprehensive review of extreme learning machine on medical imaging

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A distributed overlapping community detection model for large graphs using autoencoder

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A hybrid system for forecasting 24-h power load profile for Polish electric grid

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Marginal Stacked Autoencoder With Adaptively-Spatial Regularization for Hyperspectral Image Classification

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Deep Layer Kernel Sparse Representation Network for the Detection of Heart Valve Ailments from the Time‐Frequency Representation of PCG Recordings

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Machine Learning Based Sentiment Text Classification for Evaluating Treatment Quality of Discharge Summary

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Broad Learning Autoencoder With Graph Structure for Data Clustering

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Graph Embedding-Based Dimension Reduction With Extreme Learning Machine

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Coal Quality Exploration Technology Based on an Incremental Multilayer Extreme Learning Machine and Remote Sensing Images

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Variances-constrained weighted extreme learning machine for imbalanced classification

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A novel recurrent hybrid network for feature fusion in action recognition

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Application of Multilayer Extreme Learning Machine for Efficient Building Energy Prediction

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Stacked Denoising Extreme Learning Machine Autoencoder Based on Graph Embedding for Feature Representation

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Financial Time Series Forecasting Using Deep Learning Network

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An effective hierarchical extreme learning machine based multimodal fusion framework

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A Dual Stream Spectrum Deconvolution Neural Network

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Many-objective coevolutionary learning algorithm with extreme learning machine auto-encoder for ensemble classifier of feedforward neural networks

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An Improved Autoencoder and Partial Least Squares Regression-Based Extreme Learning Machine Model for Pump Turbine Characteristics

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Ensemble deep random vector functional link for self-supervised direction-of-arrival estimation

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Image Recommendation Algorithm Combined with Deep Neural Network Designed for Social Networks

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Painting and calligraphy identification method based on hyperspectral imaging and convolution neural network

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DS-P3SNet: An Efficient Classification Approach for Devanagari Script-Based P300 Speller Using Compact Channelwise Convolution and Knowledge Distillation

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Supervised Extreme Learning Machine-Based Auto-Encoder for Discriminative Feature Learning

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Aircraft Type Recognition in Remote Sensing Images: Bilinear Discriminative Extreme Learning Machine Framework

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A 3D Object Recognition Method From LiDAR Point Cloud Based on USAE-BLS

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Neighborhood graph embedding interpretable fault diagnosis network based on local and non-local information balanced under imbalanced samples

Sun, Z., Wang, Y., Sun, G., Gao, J., & Pan, Z. (2022) · Structural Health Monitoring · doi:10.1177/14759217221112835 · Cited by 12

Locality Preserving Projections-Based Spatiotemporal Modeling of the Temperature Distribution of Lithium-Ion Batteries

Zhu, C., Yang, H., Jin, X., Xu, K., & Shen, W. (2023) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2023.3257311 · Cited by 11

Novel single and multi-layer echo-state recurrent autoencoders for representation learning

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A two-stream abnormal detection using a cascade of extreme learning machines and stacked auto encoder

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A method for diagnosing rolling bearing faults based on SDAE-ADHKELM

Li, X., & Jin, W. (2022) · Measurement Science and Technology · doi:10.1088/1361-6501/ac9709 · Cited by 10

Clustering Based on Supervised Learning of Exemplar Discriminative Information

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Gate-Layer Autoencoders with Application to Incomplete EEG Signal Recovery

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Representation learning by hierarchical ELM auto‐encoder with double random hidden layers

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Deep Learning of Fuzzy Weighted Multi-Resolution Depth Motion Maps with Spatial Feature Fusion for Action Recognition

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WITHDRAWN: Residual Dense Convolutional Neural Network for Image Super-Resolution

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A novel gas/liquid two-phase flow imaging method through electrical resistance tomography with DDELM-AE sparse dictionary

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Explaining Neural Networks by Decoding Layer Activations

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Multilayer discriminative extreme learning machine for classification

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Simultaneously learning affinity matrix and data representations for machine fault diagnosis

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Control and synchronization of chaotic spur gear system using adaptive non-singular fast terminal sliding mode controller

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Minimum Variance Embedded Random Vector Functional Link Network with Privileged Information

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Multi‐objective auto‐encoder deep learning‐based stack switching scheme for improved battery life using error prediction of wind‐battery storage microgrid

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A Review of Neural Network Approach on Engineering Drawing Recognition and Future Directions

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Consonant Phoneme Based Extreme Learning Machine (ELM) Recognition Model for Foreign Accent Identification

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Autoencoder Extreme Learning Machine for Fingerprint-Based Positioning: A Good Weight Initialization is Decisive

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A minimum entropy criterion for distribution selection for measurement uncertainty analysis

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A Machine Hearing Framework for Real-Time Streaming Analytics Using Lambda Architecture

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Multilayer Fisher extreme learning machine for classification

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Deep Representation Based on Multilayer Extreme Learning Machine

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