Citation Impact
Citing Papers
Type 3 Diabetes and Its Role Implications in Alzheimer’s Disease
2020
Stacked Denoising Autoencoders: Learning Useful Representations in a Deep Network with a Local Denoising Criterion
2010 Standout
Learning with idealized kernels
2003
Kernel Methods for Deep Learning
2009
Adaptive feature-space conformal transformation for imbalanced-data learning
2003
Distance Metric Learning for Large Margin Nearest Neighbor Classification
2009 Standout
State-of-the-art in artificial neural network applications: A survey
2018 Standout
Microbiota in health and diseases
2022 Standout
Windows Based Data Sets for Evaluation of Robustness of Host Based Intrusion Detection Systems (IDS) to Zero-Day and Stealth Attacks
2016
Large Margin Nearest Neighbor Classifiers
2005
RNA-seq analysis of Drosophila clock and non-clock neurons reveals neuron-specific cycling and novel candidate neuropeptides
2017 StandoutNobel
Classification in a normalized feature space using support vector machines
2003
An overview of statistical learning theory
1999 Standout
Inflammation in obesity, diabetes, and related disorders
2022 Standout
Near-Bayesian Support Vector Machines for imbalanced data classification with equal or unequal misclassification costs
2015
Survey of Clustering Algorithms
2005 Standout
Learning from imbalanced data in surveillance of nosocomial infection
2005
A review on genetic algorithm: past, present, and future
2020 Standout
An insight into classification with imbalanced data: Empirical results and current trends on using data intrinsic characteristics
2013 Standout
Application of chaotic ant swarm optimization in electric load forecasting
2010
A review on empirical mode decomposition in fault diagnosis of rotating machinery
2012 Standout
SVR with hybrid chaotic genetic algorithms for tourism demand forecasting
2010
Artificial intelligence for fault diagnosis of rotating machinery: A review
2018 Standout
Learning Traffic as Images: A Deep Convolutional Neural Network for Large-Scale Transportation Network Speed Prediction
2017 Standout
Deep Learning Approach for Intelligent Intrusion Detection System
2019 Standout
Learning from Imbalanced Data
2009 Standout
A survey of techniques for internet traffic classification using machine learning
2008 Standout
Industrial IoT for Intelligent Steelmaking With Converter Mouth Flame Spectrum Information Processed by Deep Learning
2019 Standout
Surrogate-based analysis and optimization
2005 Standout
A Systematic Review on Educational Data Mining
2017 Standout
Electric load forecasting by support vector model
2008
A tutorial on support vector regression
2004 Standout
Boosting support vector machines for imbalanced data sets
2009
A short-term load forecasting model of natural gas based on optimized genetic algorithm and improved BP neural network
2014 Standout
A review of data-driven building energy consumption prediction studies
2017 Standout
Broad Learning System: An Effective and Efficient Incremental Learning System Without the Need for Deep Architecture
2017
A Tutorial on Support Vector Machines for Pattern Recognition
1998 Standout
GreenSea: Visual Soccer Analysis Using Broad Learning System
2020 Standout
Dynamic Prediction Research of Silicon Content in Hot Metal Driven by Big Data in Blast Furnace Smelting Process under Hadoop Cloud Platform
2018
Estimating the Support of a High-Dimensional Distribution
2001 Standout
Ranging With Ultrawide Bandwidth Signals in Multipath Environments
2009 Standout
Physics-informed neural networks for high-speed flows
2019 Standout
Adjusted F-measure and kernel scaling for imbalanced data learning
2013
Density-based particle swarm optimization algorithm for data clustering
2017
KBA: kernel boundary alignment considering imbalanced data distribution
2005
An Equivalence Between Sparse Approximation and Support Vector Machines
1998
Electric load forecasting by seasonal recurrent SVR (support vector regression) with chaotic artificial bee colony algorithm
2011
Optimized Computation Offloading Performance in Virtual Edge Computing Systems Via Deep Reinforcement Learning
2018 Standout
Advanced support vector machines and kernel methods
2003
Feature vector regression with efficient hyperparameters tuning and geometric interpretation
2016
Application of SVR with chaotic GASA algorithm in cyclic electric load forecasting
2012
A survey on ensemble learning
2019 Standout
NSFnets (Navier-Stokes flow nets): Physics-informed neural networks for the incompressible Navier-Stokes equations
2020 Standout
Non-linear multivariate and multiscale monitoring and signal denoising strategy using Kernel Principal Component Analysis combined with Ensemble Empirical Mode Decomposition method
2011
DDoS Attacks at the Application Layer: Challenges and Research Perspectives for Safeguarding Web Applications
2018 Standout
Chaotic particle swarm optimization algorithm in a support vector regression electric load forecasting model
2008
Nontechnical Loss Detection for Metered Customers in Power Utility Using Support Vector Machines
2009
Localization via ultra-wideband radios: a look at positioning aspects for future sensor networks
2005 Standout
Cyclic electric load forecasting by seasonal SVR with chaotic genetic algorithm
2012
Smart Logistics Path for Cyber-Physical Systems With Internet of Things
2018 Standout
Particle Swarm Optimization: A Comprehensive Survey
2022 Standout
Learning from class-imbalanced data: Review of methods and applications
2016 Standout
Ultra‐wideband wireless communications
2003
Monitoring plant diseases and pests through remote sensing technology: A review
2019 Standout
A review on time series forecasting techniques for building energy consumption
2017 Standout
Imbalanced data classification based on scaling kernel-based support vector machine
2014
Clustering by fast search and find of density peaks
2014 StandoutScience
Hybrid evolutionary algorithms in a SVR-based electric load forecasting model
2009
A Review of Fault Detection and Diagnosis for the Traction System in High-Speed Trains
2019 Standout
Support vector machines
1998 Standout
Adaptive activation functions accelerate convergence in deep and physics-informed neural networks
2019
Activation functions in deep learning: A comprehensive survey and benchmark
2022 Standout
Short-term load forecasting for non-residential buildings contrasting artificial occupancy attributes
2016
SMOTE for Learning from Imbalanced Data: Progress and Challenges, Marking the 15-year Anniversary
2018 Standout
Real-Time Detection of False Data Injection Attacks in Smart Grid: A Deep Learning-Based Intelligent Mechanism
2017 Standout
Sequence-order-independent network profiling for detecting application layer DDoS attacks
2011
New Support Vector Algorithms
2000 Standout
Heart Disease Identification Method Using Machine Learning Classification in E-Healthcare
2020 Standout
Just relax: convex programming methods for identifying sparse signals in noise
2006 Standout
Microbiota modulation as preventative and therapeutic approach in Alzheimer’s disease
2020
NeuroPID: a predictor for identifying neuropeptide precursors from metazoan proteomes
2013
Traffic flow forecasting by seasonal SVR with chaotic simulated annealing algorithm
2011
Energy models for demand forecasting—A review
2011 Standout
A modified Bee Colony Optimization (MBCO) and its hybridization with k-means for an application to data clustering
2018 Standout
Greek long-term energy consumption prediction using artificial neural networks
2009 Standout
Wavelet-Based Rust Spectral Feature Set (WRSFs): A Novel Spectral Feature Set Based on Continuous Wavelet Transformation for Tracking Progressive Host–Pathogen Interaction of Yellow Rust on Wheat
2018
Works of Si Wu being referenced
Cluster Analysis of Gene Expression Data Based on Self-Splitting and Merging Competitive Learning
2004
Progressive subspace ensemble learning
2016
Conformal Transformation of Kernel Functions: A Data-Dependent Way to Improve Support Vector Machine Classifiers
2002
Improving support vector machine classifiers by modifying kernel functions
1999
A dynamic call admission policy with precision QoS guarantee using stochastic control for mobile wireless networks
2002
Adaptive activation functions in convolutional neural networks
2017
Multiobjective Semisupervised Classifier Ensemble
2018
Incremental Semi-Supervised Clustering Ensemble for High Dimensional Data Clustering
2015
Gut Microbiota and Their Neuroinflammatory Implications in Alzheimer’s Disease
2018