- Home
- Publications
- Publication Search
- Publication Details
Title
A review on extreme learning machine
Authors
Keywords
-
Journal
MULTIMEDIA TOOLS AND APPLICATIONS
Volume -, Issue -, Pages -
Publisher
Springer Science and Business Media LLC
Online
2021-05-22
DOI
10.1007/s11042-021-11007-7
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- A unified machine-learning protocol for asymmetric catalysis as a proof of concept demonstration using asymmetric hydrogenation
- (2020) Sukriti Singh et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- An Improved LDA-Based ELM Classification for Intrusion Detection Algorithm in IoT Application
- (2020) Dehua Zheng et al. SENSORS
- EEG-Based Driver Drowsiness Estimation Using an Online Multi-View and Transfer TSK Fuzzy System
- (2020) Yizhang Jiang et al. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
- Analysis and Forecasting of the Carbon Price in China’s Regional Carbon Markets Based on Fast Ensemble Empirical Mode Decomposition, Phase Space Reconstruction, and an Improved Extreme Learning Machine
- (2019) Wei Sun et al. Energies
- Comparison of Multiple Linear Regression, Artificial Neural Network, Extreme Learning Machine, and Support Vector Machine in Deriving Operation Rule of Hydropower Reservoir
- (2019) Wen-Jing Niu et al. Water
- An evolutionary deep belief network extreme learning-based for breast cancer diagnosis
- (2019) Somayeh Ronoud et al. SOFT COMPUTING
- Hybrid multivariate pattern analysis combined with extreme learning machine for Alzheimer’s dementia diagnosis using multi-measure rs-fMRI spatial patterns
- (2019) Duc Thanh Nguyen et al. PLoS One
- Density-based semi-supervised online sequential extreme learning machine
- (2019) Min Xia et al. NEURAL COMPUTING & APPLICATIONS
- Deep extreme learning machine with leaky rectified linear unit for multiclass classification of pathological brain images
- (2019) Deepak Ranjan Nayak et al. MULTIMEDIA TOOLS AND APPLICATIONS
- Fabric Defect Detection and Classifier via Multi-Scale Dictionary Learning and an Adaptive Differential Evolution Optimized Regularization Extreme Learning Machine
- (2019) Zhiyu Zhou et al. FIBRES & TEXTILES IN EASTERN EUROPE
- Short-Term Electric Load and Price Forecasting Using Enhanced Extreme Learning Machine Optimization in Smart Grids
- (2019) Aqdas Naz et al. Energies
- Stationary Wavelet-Fourier Entropy and Kernel Extreme Learning for Bearing Multi-Fault Diagnosis
- (2019) Nibaldo Rodriguez et al. Entropy
- Multilayer probability extreme learning machine for device-free localization
- (2019) Jie Zhang et al. NEUROCOMPUTING
- Hypercomplex extreme learning machine with its application in multispectral palmprint recognition
- (2019) Longbin Lu et al. PLoS One
- A Hybrid Model Based on Principal Component Analysis, Wavelet Transform, and Extreme Learning Machine Optimized by Bat Algorithm for Daily Solar Radiation Forecasting
- (2019) Zhang et al. Sustainability
- Research on Green Management Effect Evaluation of Power Generation Enterprises in China Based on Dynamic Hesitation and Improved Extreme Learning Machine
- (2019) Yunfu Qin et al. Processes
- Detection of damaged wheat kernels using an impact acoustic signal processing technique based on Gaussian modelling and an improved extreme learning machine algorithm
- (2019) Min Guo et al. BIOSYSTEMS ENGINEERING
- Data-Driven Model-Free Adaptive Control Based on Error Minimized Regularized Online Sequential Extreme Learning Machine
- (2019) Xiaofei Zhang et al. Energies
- Adaptive neural tracking control for automotive engine idle speed regulation using extreme learning machine
- (2019) Pak Kin Wong et al. NEURAL COMPUTING & APPLICATIONS
- Selective Ensemble Based on Extreme Learning Machine for Sensor-Based Human Activity Recognition
- (2019) Tian et al. SENSORS
- Spectral-Spatial Hyperspectral Image Classification with Superpixel Pattern and Extreme Learning Machine
- (2019) Yongshan Zhang et al. Remote Sensing
- Particle Swarm Optimization Algorithm-Extreme Learning Machine (PSO-ELM) Model for Predicting Resilient Modulus of Stabilized Aggregate Bases
- (2019) Mosbeh R. Kaloop et al. Applied Sciences-Basel
- Exemplar-based data stream clustering toward Internet of Things
- (2019) Yizhang Jiang et al. JOURNAL OF SUPERCOMPUTING
- Seizure Recognition Using a Novel Multitask Radial Basis Function Neural Network
- (2019) Yizhang Jiang et al. Journal of Medical Imaging and Health Informatics
- An Effective Framework Using Spatial Correlation and Extreme Learning Machine for Moving Cast Shadow Detection
- (2019) Yugen Yi et al. Applied Sciences-Basel
- Stability Assessment of Rubble Mound Breakwaters Using Extreme Learning Machine Models
- (2019) Xianglong Wei et al. Journal of Marine Science and Engineering
- Evolving an optimal kernel extreme learning machine by using an enhanced grey wolf optimization strategy
- (2019) Zhennao Cai et al. EXPERT SYSTEMS WITH APPLICATIONS
- Robust and Lightweight Ensemble Extreme Learning Machine Engine Based on Eigenspace Domain for Compressed Learning
- (2019) Huai-Ting Li et al. IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS
- Restricted-Boltzmann-Based Extreme Learning Machine for Gas Path Fault Diagnosis of Turbofan Engine
- (2019) Feng Lu et al. IEEE Transactions on Industrial Informatics
- Recognition of Large-Scale ncRNA Data Using a Novel Multitask Cross-Learning 0-Order TSK Fuzzy Classifier
- (2019) Yizhang Jiang et al. Journal of Medical Imaging and Health Informatics
- Improved predictive capability of coagulation process by extreme learning machine with radial basis function
- (2019) CD Jayaweera et al. Journal of Water Process Engineering
- Comparative studies of metamodeling and AI-Based techniques in damage detection of structures
- (2018) Ramin Ghiasi et al. ADVANCES IN ENGINEERING SOFTWARE
- Semi-supervised learning based distributed attack detection framework for IoT
- (2018) Shailendra Rathore et al. APPLIED SOFT COMPUTING
- Artificial bee colony optimization-based weighted extreme learning machine for imbalanced data learning
- (2018) Xiaofen Tang et al. Cluster Computing-The Journal of Networks Software Tools and Applications
- A SA-ANN-Based Modeling Method for Human Cognition Mechanism and the PSACO Cognition Algorithm
- (2018) Shuting Chen et al. COMPLEXITY
- Restricted Boltzmann machine to determine the input weights for extreme learning machines
- (2018) Andre G.C. Pacheco et al. EXPERT SYSTEMS WITH APPLICATIONS
- TaxiRec: Recommending Road Clusters to Taxi Drivers Using Ranking-Based Extreme Learning Machines
- (2018) Ran Wang et al. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
- Using machine learning and quantum chemistry descriptors to predict the toxicity of ionic liquids
- (2018) Lingdi Cao et al. JOURNAL OF HAZARDOUS MATERIALS
- Prediction of Henry's law constant of CO 2 in ionic liquids based on S EP and S σ-profile molecular descriptors
- (2018) Xuejing Kang et al. JOURNAL OF MOLECULAR LIQUIDS
- Geographical recognition of Syrah wines by combining feature selection with Extreme Learning Machine
- (2018) Nattane Luíza da Costa et al. MEASUREMENT
- Extreme Learning Machine for Joint Embedding and Clustering
- (2018) Tianchi Liu et al. NEUROCOMPUTING
- A clustering method based on extreme learning machine
- (2018) Jinhong Huang et al. NEUROCOMPUTING
- A machine learning approach for predicting the relationship between energy resources and economic development
- (2018) Dušan Cogoljević et al. PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
- Spatial extreme learning machines: An application on prediction of disease counts
- (2018) Marcos O Prates STATISTICAL METHODS IN MEDICAL RESEARCH
- Classification of Epileptic Electroencephalograms Signal Based on Improved Extreme Learning Machine
- (2018) Ta Zhou et al. Journal of Medical Imaging and Health Informatics
- Protein-protein Interactions Prediction via Multimodal Deep Polynomial Network and Regularized Extreme Learning Machine
- (2018) Haijun Lei et al. IEEE Journal of Biomedical and Health Informatics
- Domain Space Transfer Extreme Learning Machine for Domain Adaptation
- (2018) Yiming Chen et al. IEEE Transactions on Cybernetics
- Analysis and forecasting of the carbon price using multi—resolution singular value decomposition and extreme learning machine optimized by adaptive whale optimization algorithm
- (2018) Wei Sun et al. APPLIED ENERGY
- A hierarchical semi-supervised extreme learning machine method for EEG recognition
- (2018) Qingshan She et al. MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING
- Rapid and Efficient Bug Assignment using ELM for IOT Software
- (2018) Ying Yin et al. IEEE Access
- Safe semi-supervised extreme learning machine for EEG signal classification
- (2018) Qingshan She et al. IEEE Access
- A Novel fuzzy frame selection based watermarking scheme for MPEG-4 videos using Bi-directional extreme learning machine
- (2018) Ankit Rajpal et al. APPLIED SOFT COMPUTING
- Violent scene detection algorithm based on kernel extreme learning machine and three-dimensional histograms of gradient orientation
- (2018) Jing Yu et al. MULTIMEDIA TOOLS AND APPLICATIONS
- Information system for e-GDP based on computational intelligence approach
- (2018) Goran Rakic et al. PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
- Multi-label learning method based on ML-RBF and laplacian ELM
- (2018) Xinzheng Xu et al. NEUROCOMPUTING
- Combining High Speed ELM Learning with a Deep Convolutional Neural Network Feature Encoding for Predicting Protein-RNA Interactions
- (2018) Lei Wang et al. IEEE-ACM Transactions on Computational Biology and Bioinformatics
- A new Self-Organizing Extreme Learning Machine soft sensor model and its applications in complicated chemical processes
- (2017) Zhiqiang Geng et al. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
- Grey wolf optimization evolving kernel extreme learning machine: Application to bankruptcy prediction
- (2017) Mingjing Wang et al. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
- Landslide susceptibility mapping based on self-organizing-map network and extreme learning machine
- (2017) Faming Huang et al. ENGINEERING GEOLOGY
- Microcalcification diagnosis in digital mammography using extreme learning machine based on hidden Markov tree model of dual-tree complex wavelet transform
- (2017) Kai Hu et al. EXPERT SYSTEMS WITH APPLICATIONS
- Early warning modeling and analysis based on analytic hierarchy process integrated extreme learning machine (AHP-ELM): Application to food safety
- (2017) ZhiQiang Geng et al. FOOD CONTROL
- Factor analysis and forecasting of CO 2 emissions in Hebei, using extreme learning machine based on particle swarm optimization
- (2017) Wei Sun et al. JOURNAL OF CLEANER PRODUCTION
- Discriminating cirRNAs from other lncRNAs using a hierarchical extreme learning machine (H-ELM) algorithm with feature selection
- (2017) Lei Chen et al. MOLECULAR GENETICS AND GENOMICS
- Development of pathological brain detection system using Jaya optimized improved extreme learning machine and orthogonal ripplet-II transform
- (2017) Deepak Ranjan Nayak et al. MULTIMEDIA TOOLS AND APPLICATIONS
- Smart pathological brain detection by synthetic minority oversampling technique, extreme learning machine, and Jaya algorithm
- (2017) Yu-Dong Zhang et al. MULTIMEDIA TOOLS AND APPLICATIONS
- A switching delayed PSO optimized extreme learning machine for short-term load forecasting
- (2017) Nianyin Zeng et al. NEUROCOMPUTING
- Generalized extreme learning machine autoencoder and a new deep neural network
- (2017) Kai Sun et al. NEUROCOMPUTING
- Deep object recognition across domains based on adaptive extreme learning machine
- (2017) Lei Zhang et al. NEUROCOMPUTING
- Verification and predicting temperature and humidity in a solar greenhouse based on convex bidirectional extreme learning machine algorithm
- (2017) Weidong Zou et al. NEUROCOMPUTING
- Robust regularized extreme learning machine for regression using iteratively reweighted least squares
- (2017) Kai Chen et al. NEUROCOMPUTING
- Instance cloned extreme learning machine
- (2017) Yongshan Zhang et al. PATTERN RECOGNITION
- Soft computing prediction of economic growth based in science and technology factors
- (2017) Dušan Marković et al. PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
- Application of artificial neural network with extreme learning machine for economic growth estimation
- (2017) Ljubiša Milačić et al. PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
- Feed forward neural network with random quaternionic neurons
- (2017) Toshifumi Minemoto et al. SIGNAL PROCESSING
- Dolphin Swarm Extreme Learning Machine
- (2017) Tianqi Wu et al. Cognitive Computation
- Diagnosis of Alzheimer’s Disease Based on Structural MRI Images Using a Regularized Extreme Learning Machine and PCA Features
- (2017) Ramesh Kumar Lama et al. Journal of Healthcare Engineering
- Intelligent Diagnostic Methods for Thyroid Nodules
- (2017) Yizhang Jiang et al. Journal of Medical Imaging and Health Informatics
- Unsupervised Feature Learning Classification With Radial Basis Function Extreme Learning Machine Using Graphic Processors
- (2017) Dao Lam et al. IEEE Transactions on Cybernetics
- Highly Efficient Framework for Predicting Interactions Between Proteins
- (2017) Zhu-Hong You et al. IEEE Transactions on Cybernetics
- Fast and Stable Learning of Dynamical Systems Based on Extreme Learning Machine
- (2017) Jianghua Duan et al. IEEE Transactions on Systems Man Cybernetics-Systems
- Dynamic Delay Predictions for Large-Scale Railway Networks: Deep and Shallow Extreme Learning Machines Tuned via Thresholdout
- (2017) Luca Oneto et al. IEEE Transactions on Systems Man Cybernetics-Systems
- Noniterative Deep Learning: Incorporating Restricted Boltzmann Machine Into Multilayer Random Weight Neural Networks
- (2017) Xi-Zhao Wang et al. IEEE Transactions on Systems Man Cybernetics-Systems
- Multimodal Discrimination of Schizophrenia Using Hybrid Weighted Feature Concatenation of Brain Functional Connectivity and Anatomical Features with an Extreme Learning Machine
- (2017) Muhammad Naveed Iqbal Qureshi et al. Frontiers in Neuroinformatics
- Hybrid Structure-Adaptive RBF-ELM Network Classifier
- (2017) Hui Wen et al. IEEE Access
- A soft sensor for industrial melt index prediction based on evolutionary extreme learning machine
- (2016) Miao Zhang et al. CHINESE JOURNAL OF CHEMICAL ENGINEERING
- A hybrid differential evolution approach based on surrogate modelling for scheduling bottleneck stages
- (2016) Jing-hua Hao et al. COMPUTERS & OPERATIONS RESEARCH
- Robust total energy demand estimation with a hybrid Variable Neighborhood Search – Extreme Learning Machine algorithm
- (2016) J. Sánchez-Oro et al. ENERGY CONVERSION AND MANAGEMENT
- Extreme learning machine-based surrogate model for analyzing system reliability of soil slopes
- (2016) Fei Kang et al. European Journal of Environmental and Civil Engineering
- Robust Visual Knowledge Transfer via Extreme Learning Machine-Based Domain Adaptation
- (2016) Lei Zhang et al. IEEE TRANSACTIONS ON IMAGE PROCESSING
- Driver Distraction Detection Using Semi-Supervised Machine Learning
- (2016) Tianchi Liu et al. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
- A novel multi-task TSK fuzzy classifier and its enhanced version for labeling-risk-aware multi-task classification
- (2016) Yizhang Jiang et al. INFORMATION SCIENCES
- Semi-supervised GSOM integrated with extreme learning machine
- (2016) Ali Mehrizi et al. Intelligent Data Analysis
- A Novel Bearing Fault Diagnosis Method Based on Gaussian Restricted Boltzmann Machine
- (2016) Xiao-hui He et al. MATHEMATICAL PROBLEMS IN ENGINEERING
- A pathological brain detection system based on kernel based ELM
- (2016) Siyuan Lu et al. MULTIMEDIA TOOLS AND APPLICATIONS
- A Fast SVD-Hidden-nodes based Extreme Learning Machine for Large-Scale Data Analytics
- (2016) Wan-Yu Deng et al. NEURAL NETWORKS
- A Fast Reduced Kernel Extreme Learning Machine
- (2016) Wan-Yu Deng et al. NEURAL NETWORKS
- Hessian semi-supervised extreme learning machine
- (2016) Ganesh Krishnasamy et al. NEUROCOMPUTING
- An unsupervised discriminative extreme learning machine and its applications to data clustering
- (2016) Yong Peng et al. NEUROCOMPUTING
- Brain MRI morphological patterns extraction tool based on Extreme Learning Machine and majority vote classification
- (2016) Maite Termenon et al. NEUROCOMPUTING
- Incremental regularized extreme learning machine and it׳s enhancement
- (2016) Zhixin Xu et al. NEUROCOMPUTING
- Automated detection of epileptic EEGs using a novel fusion feature and extreme learning machine
- (2016) Jiang-Ling Song et al. NEUROCOMPUTING
- Extreme learning machine based transfer learning for data classification
- (2016) Xiaodong Li et al. NEUROCOMPUTING
- Extreme Learning Surrogate Models in Multi-objective Optimization based on Decomposition
- (2016) Lucas M. Pavelski et al. NEUROCOMPUTING
- Breast mass classification in digital mammography based on extreme learning machine
- (2016) Weiying Xie et al. NEUROCOMPUTING
- Memetic Extreme Learning Machine
- (2016) Yongshan Zhang et al. PATTERN RECOGNITION
- Prediction of GDP growth rate based on carbon dioxide (CO2) emissions
- (2016) Vladislav Marjanović et al. Journal of CO2 Utilization
- Extreme learning machine via free sparse transfer representation optimization
- (2016) Xiaodong Li et al. Memetic Computing
- Denoising deep extreme learning machine for sparse representation
- (2016) Xiangyi Cheng et al. Memetic Computing
- Unsupervised and semi-supervised extreme learning machine with wavelet kernel for high dimensional data
- (2016) Nan Zhang et al. Memetic Computing
- Semi-supervised low rank kernel learning algorithm via extreme learning machine
- (2016) Mingming Liu et al. International Journal of Machine Learning and Cybernetics
- Multiclass Classification for the Differential Diagnosis on the ADHD Subtypes Using Recursive Feature Elimination and Hierarchical Extreme Learning Machine: Structural MRI Study
- (2016) Muhammad Naveed Iqbal Qureshi et al. PLoS One
- Restricted Boltzmann machine: a non-linear substitute for PCA in spectral processing
- (2015) Yude Bu et al. ASTRONOMY & ASTROPHYSICS
- Nonlinear regression in environmental sciences using extreme learning machines: A comparative evaluation
- (2015) Aranildo R. Lima et al. ENVIRONMENTAL MODELLING & SOFTWARE
- Local Binary Patterns and Extreme Learning Machine for Hyperspectral Imagery Classification
- (2015) Wei Li et al. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
- Domain Adaptation Extreme Learning Machines for Drift Compensation in E-Nose Systems
- (2015) Lei Zhang et al. IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
- Comparison of ELM, RF, and SVM on E-nose and E-tongue to trace the quality status of mandarin (Citrus unshiu Marc.)
- (2015) Shanshan Qiu et al. JOURNAL OF FOOD ENGINEERING
- Data and feature mixed ensemble based extreme learning machine for medical object detection and segmentation
- (2015) Wanzheng Zhu et al. MULTIMEDIA TOOLS AND APPLICATIONS
- Manifold regularized extreme learning machine
- (2015) Bing Liu et al. NEURAL COMPUTING & APPLICATIONS
- Discriminative clustering via extreme learning machine
- (2015) Gao Huang et al. NEURAL NETWORKS
- Trends in extreme learning machines: A review
- (2015) Gao Huang et al. NEURAL NETWORKS
- Universal consistency of extreme learning machine for RBFNs case
- (2015) Xia Liu et al. NEUROCOMPUTING
- Multiple kernel extreme learning machine
- (2015) Xinwang Liu et al. NEUROCOMPUTING
- Learning deep representations via extreme learning machines
- (2015) Wenchao Yu et al. NEUROCOMPUTING
- Elastic extreme learning machine for big data classification
- (2015) Junchang Xin et al. NEUROCOMPUTING
- Artificial bee colony algorithm for clustering: an extreme learning approach
- (2015) Abobakr Khalil Alshamiri et al. SOFT COMPUTING
- Restricted Boltzmann machine: a non-linear substitute for PCA in spectral processing
- (2015) Yude Bu et al. ASTRONOMY & ASTROPHYSICS
- Incremental extreme learning machine based on deep feature embedded
- (2015) Jian Zhang et al. International Journal of Machine Learning and Cybernetics
- Unsupervised extreme learning machine with representational features
- (2015) Shifei Ding et al. International Journal of Machine Learning and Cybernetics
- Breast tumor detection in double views mammography based on extreme learning machine
- (2014) Zhiqiong Wang et al. NEURAL COMPUTING & APPLICATIONS
- Cross-person activity recognition using reduced kernel extreme learning machine
- (2014) Wan-Yu Deng et al. NEURAL NETWORKS
- Two-stage extreme learning machine for high-dimensional data
- (2014) Peng Liu et al. International Journal of Machine Learning and Cybernetics
- Automated Flare Prediction Using Extreme Learning Machine
- (2013) Yuqing Bian et al. MATHEMATICAL PROBLEMS IN ENGINEERING
- A novel self-adaptive extreme learning machine based on affinity propagation for radial basis function neural network
- (2013) Shifei Ding et al. NEURAL COMPUTING & APPLICATIONS
- Extreme Learning Machines for Feature Selection and Classification of Cocaine Dependent Patients on Structural MRI Data
- (2013) M. Termenon et al. NEURAL PROCESSING LETTERS
- Weighted Online Sequential Extreme Learning Machine for Class Imbalance Learning
- (2013) Bilal Mirza et al. NEURAL PROCESSING LETTERS
- Aircraft recognition using modular extreme learning machine
- (2013) Hai-Jun Rong et al. NEUROCOMPUTING
- Clustering in extreme learning machine feature space
- (2013) Qing He et al. NEUROCOMPUTING
- Breast tumor detection in digital mammography based on extreme learning machine
- (2013) Zhiqiong Wang et al. NEUROCOMPUTING
- Review and performance comparison of SVM- and ELM-based classifiers
- (2013) Jan Chorowski et al. NEUROCOMPUTING
- Comparing the learning effectiveness of BP, ELM, I-ELM, and SVM for corporate credit ratings
- (2013) Haoming Zhong et al. NEUROCOMPUTING
- Extreme Learning Machine-Based Classification of ADHD Using Brain Structural MRI Data
- (2013) Xiaolong Peng et al. PLoS One
- A novel approach for detection and classification of mammographic microcalcifications using wavelet analysis and extreme learning machine
- (2012) E. Malar et al. COMPUTERS IN BIOLOGY AND MEDICINE
- Determination of Amino Acid Nitrogen in Soy Sauce Using Near Infrared Spectroscopy Combined with Characteristic Variables Selection and Extreme Learning Machine
- (2012) Qin Ouyang et al. Food and Bioprocess Technology
- Evaluating the Internationalization Success of Companies Through a Hybrid Grouping Harmony Search—Extreme Learning Machine Approach
- (2012) Itziar Landa-Torres et al. IEEE Journal of Selected Topics in Signal Processing
- An accurate and efficient method to predict the electronic excitation energies of BODIPY fluorescent dyes
- (2012) Jia-Nan Wang et al. JOURNAL OF COMPUTATIONAL CHEMISTRY
- Automatic epileptic seizure detection in EEGs based on optimized sample entropy and extreme learning machine
- (2012) Yuedong Song et al. JOURNAL OF NEUROSCIENCE METHODS
- Self-Adaptive Evolutionary Extreme Learning Machine
- (2012) Jiuwen Cao et al. NEURAL PROCESSING LETTERS
- Online sequential extreme learning machine with forgetting mechanism
- (2012) Jianwei Zhao et al. NEUROCOMPUTING
- Weighted extreme learning machine for imbalance learning
- (2012) Weiwei Zong et al. NEUROCOMPUTING
- Epileptic EEG classification based on extreme learning machine and nonlinear features
- (2011) Qi Yuan et al. EPILEPSY RESEARCH
- Application of the LP-ELM Model on Transportation System Lifetime Optimization
- (2011) Zhan-Li Sun et al. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
- BELM: Bayesian Extreme Learning Machine
- (2011) E Soria-Olivas et al. IEEE TRANSACTIONS ON NEURAL NETWORKS
- Extreme Learning Machine for Regression and Multiclass Classification
- (2011) Guang-Bin Huang et al. IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS
- Voting based extreme learning machine
- (2011) Jiuwen Cao et al. INFORMATION SCIENCES
- A study on effectiveness of extreme learning machine
- (2011) Yuguang Wang et al. NEUROCOMPUTING
- MELM-GRBF: A modified version of the extreme learning machine for generalized radial basis function neural networks
- (2011) Francisco Fernández-Navarro et al. NEUROCOMPUTING
- Reversible watermarking via extreme learning machine prediction
- (2011) Guorui Feng et al. NEUROCOMPUTING
- Regularized online sequential learning algorithm for single-hidden layer feedforward neural networks
- (2011) Hieu Trung Huynh et al. PATTERN RECOGNITION LETTERS
- Handwritten character recognition using wavelet energy and extreme learning machine
- (2011) Binu P. Chacko et al. International Journal of Machine Learning and Cybernetics
- Ensemble Based Extreme Learning Machine
- (2010) Nan Liu et al. IEEE SIGNAL PROCESSING LETTERS
- Optimization method based extreme learning machine for classification
- (2010) Guang-Bin Huang et al. NEUROCOMPUTING
- Error Minimized Extreme Learning Machine With Growth of Hidden Nodes and Incremental Learning
- (2009) Guorui Feng et al. IEEE TRANSACTIONS ON NEURAL NETWORKS
- Prediction of Melting Points of Organic Compounds Using Extreme Learning Machines
- (2008) Akshay U. Bhat et al. INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH
Publish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn MoreAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started