Citation Impact
Citing Papers
Protein structure determination using metagenome sequence data
2017 StandoutScienceNobel
Carotenoids: biochemistry, pharmacology and treatment
2016 Standout
Learning to improve medical decision making from imbalanced data without a priori cost
2014
Major depressive disorder: new clinical, neurobiological, and treatment perspectives
2011
The advantages of the Matthews correlation coefficient (MCC) over F1 score and accuracy in binary classification evaluation
2020 Standout
Frontocingulate Dysfunction in Depression: Toward Biomarkers of Treatment Response
2010
Resting state networks in major depressive disorder
2014
Electrocardiogram generation with a bidirectional LSTM-CNN generative adversarial network
2019 Standout
Major depressive disorder
2016 Standout
Automatic Classification of Heartbeats Using Wavelet Neural Network
2010
Analysis of preprocessing vs. cost-sensitive learning for imbalanced classification. Open problems on intrinsic data characteristics
2011
Knowledge and intelligent computing system in medicine
2009 Standout
Cardiologist-level arrhythmia detection and classification in ambulatory electrocardiograms using a deep neural network
2018 Standout
The Precision-Recall Plot Is More Informative than the ROC Plot When Evaluating Binary Classifiers on Imbalanced Datasets
2015 Standout
Lopinavir Resistance Classification with Imbalanced Data Using Probabilistic Neural Networks
2016
Integrating new data balancing technique with committee networks for imbalanced data: GRSOM approach
2015
Functional Connectivity in Late-Life Depression Using Resting-State Functional Magnetic Resonance Imaging
2010
MRFalign: Protein Homology Detection through Alignment of Markov Random Fields
2014
A systematic study of the class imbalance problem in convolutional neural networks
2018 Standout
A systematic review of resting-state functional-MRI studies in major depression
2012
High-performance medicine: the convergence of human and artificial intelligence
2018 Standout
Power failure: why small sample size undermines the reliability of neuroscience
2013 Standout
A synthetic curcumin derivative hydrazinobenzoylcurcumin induces autophagy in A549 lung cancer cells
2013
A systematic review shows no performance benefit of machine learning over logistic regression for clinical prediction models
2019 Standout
Resting-State Functional Connectivity Bias of Middle Temporal Gyrus and Caudate with Altered Gray Matter Volume in Major Depression
2012
Review of deep learning: concepts, CNN architectures, challenges, applications, future directions
2021 Standout
Probabilistic framework of visual anomaly detection for unbalanced data
2016
An insight into classification with imbalanced data: Empirical results and current trends on using data intrinsic characteristics
2013 Standout
RUSBoost: A Hybrid Approach to Alleviating Class Imbalance
2009 Standout
Image Analysis and Computer Vision: 1995
1996
DBFS: An effective Density Based Feature Selection scheme for small sample size and high dimensional imbalanced data sets
2012
Optimization of ECG Classification by Means of Feature Selection
2011
Real-Time Patient-Specific ECG Classification by 1-D Convolutional Neural Networks
2015 Standout
Data fusion and machine learning for industrial prognosis: Trends and perspectives towards Industry 4.0
2018
Certainty-based active learning for sampling imbalanced datasets
2013
A machine-learning approach for structural damage detection using least square support vector machine based on a new combinational kernel function
2016
Fuzzy rough classifiers for class imbalanced multi-instance data
2015
Imbalanced data classification using second-order cone programming support vector machines
2013
Learning from Imbalanced Data
2009 Standout
The impact of class imbalance in classification performance metrics based on the binary confusion matrix
2019
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
2019 Standout
MPIIGaze: Real-World Dataset and Deep Appearance-Based Gaze Estimation
2017 Standout
Class imbalance methods for translation initiation site recognition in DNA sequences
2011
Boosted SVM for extracting rules from imbalanced data in application to prediction of the post-operative life expectancy in the lung cancer patients
2013
Interval type-2 fuzzy sets based multi-criteria decision-making model for offshore wind farm development in Ireland
2020
Real-time vibration-based structural damage detection using one-dimensional convolutional neural networks
2016 Standout
Joint Conditional Random Field Filter for Multi-Object Tracking
2011
Mapping snags and understory shrubs for a LiDAR-based assessment of wildlife habitat suitability
2009
A thorough analysis of renewable hydrogen projects development in Uzbekistan using MCDM methods
2021 Standout
On the use of MapReduce for imbalanced big data using Random Forest
2014
Negative correlation learning for classification ensembles
2010
Conception of a dominance-based multi-objective local search in the context of classification rule mining in large and imbalanced data sets
2015
CIR-Net: Cross-Modality Interaction and Refinement for RGB-D Salient Object Detection
2022
Ensemble-based classifiers
2009 Standout
Online Bagging and Boosting for Imbalanced Data Streams
2016
Learning SVM with weighted maximum margin criterion for classification of imbalanced data
2010
On the 2-tuples based genetic tuning performance for fuzzy rule based classification systems in imbalanced data-sets
2010
Relationships between Diversity of Classification Ensembles and Single-Class Performance Measures
2011
DeepVID: Deep Visual Interpretation and Diagnosis for Image Classifiers via Knowledge Distillation
2019
FairSight: Visual Analytics for Fairness in Decision Making
2019
Polyp Detection via Imbalanced Learning and Discriminative Feature Learning
2015
Analysis of an evolutionary RBFN design algorithm, CO2RBFN, for imbalanced data sets
2010
Classifying imbalanced data in distance-based feature space
2015
Boosting weighted ELM for imbalanced learning
2013
Diversity techniques improve the performance of the best imbalance learning ensembles
2015
Novel Cost-Sensitive Approach to Improve the Multilayer Perceptron Performance on Imbalanced Data
2013
A hybrid model for stock market forecasting and portfolio selection based on ARX, grey system and RS theories
2008
Integrated Oversampling for Imbalanced Time Series Classification
2013
Large-Scale Network Dysfunction in Major Depressive Disorder
2015 Standout
Knowledge Distillation: A Survey
2021 Standout
Emerging artificial intelligence methods in structural engineering
2018
A novel ensemble method for classifying imbalanced data
2014
Boosting for class-imbalanced datasets using genetically evolved supervised non-linear projections
2012
Ensemble of keyword extraction methods and classifiers in text classification
2016 Standout
Robust multiclass classification for learning from imbalanced biomedical data
2012
Online sequential prediction of bearings imbalanced fault diagnosis by extreme learning machine
2016
Survey on speech emotion recognition: Features, classification schemes, and databases
2010 Standout
Multiclass Imbalance Problems: Analysis and Potential Solutions
2012
CLASSIFICATION OF IMBALANCED DATA: A REVIEW
2009 Standout
Evolutionary undersampling boosting for imbalanced classification of breast cancer malignancy
2015
Dynamic Sampling Approach to Training Neural Networks for Multiclass Imbalance Classification
2013
Random Balance: Ensembles of variable priors classifiers for imbalanced data
2015
Recent Developments in the Preparation and Chemistry of Metallacycles and Metallacages via Coordination
2015 Standout
Cost-sensitive decision tree ensembles for effective imbalanced classification
2013
Automated detection of arrhythmias using different intervals of tachycardia ECG segments with convolutional neural network
2017
Weakly Supervised Object Localization and Detection: A Survey
2021
A review of vibration-based damage detection in civil structures: From traditional methods to Machine Learning and Deep Learning applications
2020 Standout
Study of the impact of resampling methods for contrast pattern based classifiers in imbalanced databases
2015
Pairwise Assembly of Organopalladium(II) Units with Cyanurato(3−) and Trithiocyanurato(3−) Ligands: Formation of Chiral Pd12, Pd10, and Pd9 Cage-Molecules
2013
Medical image analysis: progress over two decades and the challenges ahead
2000 Standout
Cost-Sensitive Large margin Distribution Machine for classification of imbalanced data
2016
A Survey of Autonomous Driving: Common Practices and Emerging Technologies
2020 Standout
Machine learning algorithms for damage detection: Kernel-based approaches
2015
A Multiple Conditional Random Fields Ensemble Model for Urban Area Detection in Remote Sensing Optical Images
2007
Fuzzy approach to incorporate hemodynamic variability and contextual information for detection of brain activation
2008
Effective data generation for imbalanced learning using conditional generative adversarial networks
2017 Standout
Particle Swarm Optimization: A Comprehensive Survey
2022 Standout
Performance of corporate bankruptcy prediction models on imbalanced dataset: The effect of sampling methods
2013
Learning from class-imbalanced data: Review of methods and applications
2016 Standout
Comparing Boosting and Bagging Techniques With Noisy and Imbalanced Data
2010
INFO: An efficient optimization algorithm based on weighted mean of vectors
2022 Standout
Addressing data complexity for imbalanced data sets: analysis of SMOTE-based oversampling and evolutionary undersampling
2010
SMOTE-RSB *: a hybrid preprocessing approach based on oversampling and undersampling for high imbalanced data-sets using SMOTE and rough sets theory
2011
Imbalanced data classification based on scaling kernel-based support vector machine
2014
Hybrid expert systems: A survey of current approaches and applications
2011
Deep learning and its applications to machine health monitoring
2018 Standout
Recent advances in convolutional neural networks
2017 Standout
A Parsimonious Mixture of Gaussian Trees Model for Oversampling in Imbalanced and Multimodal Time-Series Classification
2014
Soft Robotic Grippers
2018 Standout
Multiscale Convolutional Neural Networks for Fault Diagnosis of Wind Turbine Gearbox
2018 Standout
SMOTE–IPF: Addressing the noisy and borderline examples problem in imbalanced classification by a re-sampling method with filtering
2014
Feature selection for high-dimensional class-imbalanced data sets using Support Vector Machines
2014
A Survey of Predictive Modeling on Imbalanced Domains
2016
Applications of machine learning to machine fault diagnosis: A review and roadmap
2020 Standout
Survey on deep learning with class imbalance
2019 Standout
An improved quantum particle swarm optimization algorithm for environmental economic dispatch
2020
Object Detection in 20 Years: A Survey
2023 Standout
Hybridizing sine cosine algorithm with differential evolution for global optimization and object tracking
2017
An assessment of the effectiveness of a random forest classifier for land-cover classification
2011 Standout
Error back-propagation algorithm for classification of imbalanced data
2011
EUSBoost: Enhancing ensembles for highly imbalanced data-sets by evolutionary undersampling
2013
A survey on concept drift adaptation
2014 Standout
Grey system theory-based models in time series prediction
2009 Standout
A Scenario-Adaptive Driving Behavior Prediction Approach to Urban Autonomous Driving
2017
Analysing the classification of imbalanced data-sets with multiple classes: Binarization techniques and ad-hoc approaches
2013
Training and assessing classification rules with imbalanced data
2012
A unifying view on dataset shift in classification
2011
Parameter-free classification in multi-class imbalanced data sets
2013
Imbalanced classification using support vector machine ensemble
2010
A Review on Ensembles for the Class Imbalance Problem: Bagging-, Boosting-, and Hybrid-Based Approaches
2011 Standout
3D gaze estimation with a single camera without IR illumination
2008
Generalizing from a Few Examples
2020 Standout
ACID: Association Correction for Imbalanced Data in GWAS
2016
The classification of imbalanced large data sets based on MapReduce and ensemble of ELM classifiers
2015
Learning Rotation-Invariant Convolutional Neural Networks for Object Detection in VHR Optical Remote Sensing Images
2016 Standout
Works of Yang Wang being referenced
A short-time multifractal approach for arrhythmia detection based on fuzzy neural network
2001
Contextual modeling of functional MR images with conditional random fields
2006
Reciprocal Effects of Antidepressant Treatment on Activity and Connectivity of the Mood Regulating Circuit: An fMRI Study
2007
A dynamic conditional random field model for foreground and shadow segmentation
2006
Digital Connectivity and Extended Well-Composed Sets for Gray Images
1997
Weakly supervised object localization and segmentation in videos
2016
Mining stock price using fuzzy rough set system
2002
Robust facial feature tracking under varying face pose and facial expression
2007
Correction: Identifying and Characterizing Nodes Important to Community Structure Using the Spectrum of the Graph
2011
Circular Complement Network for RGB-D Salient Object Detection
2021
Cost-sensitive boosting for classification of imbalanced data
2007 Standout
Robust dimensionality reduction and damage detection approaches in structural health monitoring
2014
Optimal Site Selection of Electric Vehicle Charging Stations Based on a Cloud Model and the PROMETHEE Method
2016
Manifold: A Model-Agnostic Framework for Interpretation and Diagnosis of Machine Learning Models
2018
Repairing the crossover rate in adaptive differential evolution
2013
<title>Hierarchical stereo correspondence using features of gray connected components</title>
1997
An ADMM Algorithm for a Class of Total Variation Regularized Estimation Problems
2012
Single image super-resolution reconstruction based on genetic algorithm and regularization prior model
2016
A clustering approach for structural health monitoring on bridges
2016
Towards data management for PX structure determination with CCP4
2006