Citation Impact
Citing Papers
The advantages of the Matthews correlation coefficient (MCC) over F1 score and accuracy in binary classification evaluation
2020 Standout
A comparison of deep learning performance against health-care professionals in detecting diseases from medical imaging: a systematic review and meta-analysis
2019 Standout
Evaluation of maxout activations in deep learning across several big data domains
2019
Detection and defense of application-layer DDoS attacks in backbone web traffic
2013
Cardiologist-level arrhythmia detection and classification in ambulatory electrocardiograms using a deep neural network
2018 Standout
CEGAN: Classification Enhancement Generative Adversarial Networks for unraveling data imbalance problems
2020
A systematic study of the class imbalance problem in convolutional neural networks
2018 Standout
Deep learning algorithms for rotating machinery intelligent diagnosis: An open source benchmark study
2020 Standout
An anatomy-based beam segmentation tool for intensity-modulated radiation therapy and its application to head-and-neck cancer
2001
Trends in extreme learning machines: A review
2014 Standout
Volumetric modulated arc therapy: IMRT in a single gantry arc
2007 Standout
A systematic review shows no performance benefit of machine learning over logistic regression for clinical prediction models
2019 Standout
How can machine-learning methods assist in virtual screening for hyperuricemia? A healthcare machine-learning approach
2016
Review of deep learning: concepts, CNN architectures, challenges, applications, future directions
2021 Standout
MoleculeNet: a benchmark for molecular machine learning
2017 Standout
A novel method for intelligent fault diagnosis of rolling bearings using ensemble deep auto-encoders
2017 Standout
Breast Nodules Computer-Aided Diagnostic System Design Using Fuzzy Cerebellar Model Neural Networks
2013
Study on an improved adaptive PSO algorithm for solving multi-objective gate assignment
2017 Standout
K-nearest neighbor based structural twin support vector machine
2015
Cyber–Physical System Security for the Electric Power Grid
2011 Standout
Quarter-Sphere Support Vector Machine for Fraud Detection in Mobile Telecommunication Networks
2015
Comprehensive Survey of Big Data Mining Approaches in Cloud Systems
2021 Standout
Artificial intelligence, bias and clinical safety
2019 Standout
Recent advances in feature selection and its applications
2017
Review on Generative Adversarial Networks: Focusing on Computer Vision and Its Applications
2021 Standout
A Study on Relationship Between Generalization Abilities and Fuzziness of Base Classifiers in Ensemble Learning
2015
Cybersecurity for Critical Infrastructures: Attack and Defense Modeling
2010
Image classification based on effective extreme learning machine
2012
A survey on ensemble learning
2019 Standout
DDoS Attacks at the Application Layer: Challenges and Research Perspectives for Safeguarding Web Applications
2018 Standout
Learning from class-imbalanced data: Review of methods and applications
2016 Standout
Improving Risk Evaluation in FMEA With Cloud Model and Hierarchical TOPSIS Method
2018 Standout
A Survey of Deep Active Learning
2021 Standout
Intelligent fault diagnosis of rolling bearings based on normalized CNN considering data imbalance and variable working conditions
2020 Standout
Deep learning approach for active classification of electrocardiogram signals
2016
Recent advances in convolutional neural networks
2017 Standout
Generative Oversampling Method for Imbalanced Data on Bearing Fault Detection and Diagnosis
2019
Security Threats and Defensive Approaches in Machine Learning System Under Big Data Environment
2021
Annotated 12 lead ECG dataset
2020 Standout
Activation functions in deep learning: A comprehensive survey and benchmark
2022 Standout
Machine Learning Methods for Property Prediction in Chemoinformatics:Quo Vadis?
2012
Threat of Adversarial Attacks on Deep Learning in Computer Vision: A Survey
2018 Standout
A Survey of Predictive Modeling on Imbalanced Domains
2016
Applications of machine learning to machine fault diagnosis: A review and roadmap
2020 Standout
SMOTE for Learning from Imbalanced Data: Progress and Challenges, Marking the 15-year Anniversary
2018 Standout
Object Detection in 20 Years: A Survey
2023 Standout
High-dimensional and large-scale anomaly detection using a linear one-class SVM with deep learning
2016 Standout
Deep Learning for Generic Object Detection: A Survey
2019 Standout
Bounded activation functions for enhanced training stability of deep neural networks on visual pattern recognition problems
2016
Novel models of grey relational analysis based on visual angle of similarity and nearness
2011 Standout
Heart Disease Identification Method Using Machine Learning Classification in E-Healthcare
2020 Standout
Structural Minimax Probability Machine
2016
Fuzzy Petri nets for knowledge representation and reasoning: A literature review
2017
Application of feature-weighted Support Vector regression using grey correlation degree to stock price forecasting
2012
Deep learning fault diagnosis method based on global optimization GAN for unbalanced data
2019
Architecture selection for networks trained with extreme learning machine using localized generalization error model
2012
Optimization of distance formula in K-Nearest Neighbor method
2020 Standout
Works of Daniel Yeung being referenced
Adaptive Filter Design Using Recurrent Cerebellar Model Articulation Controller
2010
Systematic analysis of errors in target localization and treatment delivery in stereotactic radiosurgery (SRS)
1994
Structured One-Class Classification
2006
Covariance-Matrix Modeling and Detecting Various Flooding Attacks
2007
Diversified Sensitivity-Based Undersampling for Imbalance Classification Problems
2014
Radial Basis Function network learning using localized generalization error bound
2009
Dual autoencoders features for imbalance classification problem
2016
Adversarial Feature Selection Against Evasion Attacks
2015
Structured large margin machines: sensitive to data distributions
2007
Fuzzy knowledge representation and reasoning using Petri nets
1994
Bi-firing deep neural networks
2013
Quantitative Study on the Generalization Error of Multiple Classifier Systems
2006
Image classification with the use of radial basis function neural networks and the minimization of the localized generalization error
2006
HYPER-PARAMETER SELECTION FOR SPARSE LS-SVM VIA MINIMIZATION OF ITS LOCALIZED GENERALIZATION ERROR
2013
Dynamic fusion method using Localized Generalization Error Model
2012