Citation Impact
Citing Papers
Adaptive Learning and Control for MIMO System Based on Adaptive Dynamic Programming
2011
A review of uncertainty quantification in deep learning: Techniques, applications and challenges
2021 Standout
Optimal control of unknown nonaffine nonlinear discrete-time systems based on adaptive dynamic programming
2012 Standout
Classification of EMG signals using PSO optimized SVM for diagnosis of neuromuscular disorders
2013
Laplacian twin support vector machine for semi-supervised classification
2012
A Simplified Dual Neural Network for Quadratic Programming With Its KWTA Application
2006
A Comprehensive Survey on Particle Swarm Optimization Algorithm and Its Applications
2015 Standout
Fault diagnosis of gearboxes using wavelet support vector machine, least square support vector machine and wavelet packet transform
2016
An insight into classification with imbalanced data: Empirical results and current trends on using data intrinsic characteristics
2013 Standout
Artificial intelligence for fault diagnosis of rotating machinery: A review
2018 Standout
Grey theory analysis of online population and online game industry revenue in Taiwan
2012
FSVM-CIL: Fuzzy Support Vector Machines for Class Imbalance Learning
2010
A comparative study on the predictive ability of the decision tree, support vector machine and neuro-fuzzy models in landslide susceptibility mapping using GIS
2012 Standout
Support vector machines in remote sensing: A review
2010 Standout
Flood susceptibility assessment using GIS-based support vector machine model with different kernel types
2014 Standout
K-nearest neighbor based structural twin support vector machine
2015
Spatial prediction of flood susceptible areas using rule based decision tree (DT) and a novel ensemble bivariate and multivariate statistical models in GIS
2013 Standout
Linear Maximum Margin Classifier for Learning from Uncertain Data
2017
Functional iterative approaches for solving support vector classification problems based on generalized Huber loss
2019
Adaptive Dynamic Programming: An Introduction
2009 Standout
A maximum margin and minimum volume hyper-spheres machine with pinball loss for imbalanced data classification
2015
Partial discharge classifications: Review of recent progress
2015 Standout
A hybrid-forecasting model reducing Gaussian noise based on the Gaussian support vector regression machine and chaotic particle swarm optimization
2013
Autonomous Selection of Closing Posture of a Robotic Hand Through Embodied Soft Matter Capacitive Sensors
2017
Online Learning Algorithms for Double-Weighted Least Squares Twin Bounded Support Vector Machines
2016
Reinforcement learning and adaptive dynamic programming for feedback control
2009 Standout
Advanced internet of things for personalised healthcare systems: A survey
2017
Unconstrained convex minimization based implicit Lagrangian twin extreme learning machine for classification (ULTELMC)
2020
Non-homogenous discrete grey model with fractional-order accumulation
2014 Standout
Comparative analysis of image classification algorithms based on traditional machine learning and deep learning
2020 Standout
A survey on ensemble learning
2019 Standout
Improvement of Support Vector Machine Algorithm in Big Data Background
2021 Standout
A Systematic Literature Review on Fault Prediction Performance in Software Engineering
2011 Standout
Spatial prediction models for shallow landslide hazards: a comparative assessment of the efficacy of support vector machines, artificial neural networks, kernel logistic regression, and logistic model tree
2015 Standout
Data-Driven Intelligent Transportation Systems: A Survey
2011 Standout
Learning from class-imbalanced data: Review of methods and applications
2016 Standout
A survey on semi-supervised learning
2019 Standout
An improved ν-twin bounded support vector machine
2017
Groundwater potential mapping at Kurdistan region of Iran using analytic hierarchy process and GIS
2014 Standout
An efficient weighted Lagrangian twin support vector machine for imbalanced data classification
2014
Intelligent Bézier curve-based path planning model using Chaotic Particle Swarm Optimization algorithm
2018 Standout
Neural-Network-Based Optimal Control for a Class of Unknown Discrete-Time Nonlinear Systems Using Globalized Dual Heuristic Programming
2012 Standout
The Application of AE Signal in Early Cracked Rotor Fault Diagnosis with PWVD and SVM
2011
Computational adaptive optimal control for continuous-time linear systems with completely unknown dynamics
2012 Standout
Soft Robotic Grippers
2018 Standout
Industrial Internet of Things and its Applications in Industry 4.0: State of The Art
2020 Standout
Nature-Inspired Optimization Algorithms for Text Document Clustering—A Comprehensive Analysis
2020 Standout
Case-based expert system using wavelet packet transform and kernel-based feature manipulation for engine ignition system diagnosis
2011
Empirical mode decomposition–based least squares support vector regression for foreign exchange rate forecasting
2012
A Kernel Fuzzy c-Means Clustering-Based Fuzzy Support Vector Machine Algorithm for Classification Problems With Outliers or Noises
2010
Applications of machine learning to machine fault diagnosis: A review and roadmap
2020 Standout
High-dimensional and large-scale anomaly detection using a linear one-class SVM with deep learning
2016 Standout
Multi-step forecasting for wind speed using a modified EMD-based artificial neural network model
2011 Standout
A One-Layer Projection Neural Network for Nonsmooth Optimization Subject to Linear Equalities and Bound Constraints
2013 Standout
Automatic Train Control System Development and Simulation for High-Speed Railways
2010 Standout
Predicting defect-prone software modules using support vector machines
2007
Extended Polynomial Growth Transforms for Design and Training of Generalized Support Vector Machines
2017
Robust energy-based least squares twin support vector machines
2016
Improving semi-supervised co-forest algorithm in evolving data streams
2018
Optimization of distance formula in K-Nearest Neighbor method
2020 Standout
Rule extraction from support vector machines: A review
2010
Works of Jayadeva being referenced
Twin SVM for Gesture Classification Using the Surface Electromyogram
2009
Twin Support Vector Machines for Pattern Classification
2007
SVM-Based Tree-Type Neural Networks as a Critic in Adaptive Critic Designs for Control
2007
Optimal kernel selection in twin support vector machines
2008
Learning a hyperplane classifier by minimizing an exact bound on the VC dimension1
2014
Regularized least squares fuzzy support vector regression for financial time series forecasting
2007
A Neural Network With<tex>$O(N)$</tex>Neurons for Ranking<tex>$N$</tex>Numbers in<tex>$O(1/N)$</tex>Time
2004
Fast and robust learning through fuzzy linear proximal support vector machines
2004
Regularized least squares support vector regression for the simultaneous learning of a function and its derivatives
2008