Citation Impact
Citing Papers
Opportunities and challenges in developing risk prediction models with electronic health records data: a systematic review
2016
Deepfake detection using deep learning methods: A systematic and comprehensive review
2023 Standout
Multi-Label Classification on Tree- and DAG-Structured Hierarchies
2011
State-of-the-art in artificial neural network applications: A survey
2018 Standout
The role of artificial intelligence in healthcare: a structured literature review
2021 Standout
The Precision-Recall Plot Is More Informative than the ROC Plot When Evaluating Binary Classifiers on Imbalanced Datasets
2015 Standout
Artificial intelligence in healthcare: transforming the practice of medicine
2021 Standout
Big data analytics to improve cardiovascular care: promise and challenges
2016
A systematic study of the class imbalance problem in convolutional neural networks
2018 Standout
Role of Artificial Intelligence in Patient Safety Outcomes: Systematic Literature Review
2020
Applications of text mining within systematic reviews
2011
The impact of patient, intervention, comparison, outcome (PICO) as a search strategy tool on literature search quality: a systematic review
2018 Standout
Automated machine learning: Review of the state-of-the-art and opportunities for healthcare
2020 Standout
Trends in extreme learning machines: A review
2014 Standout
Machine learning applications for COVID-19 outbreak management
2022
A systematic review shows no performance benefit of machine learning over logistic regression for clinical prediction models
2019 Standout
Artificial intelligence in healthcare
2018 Standout
Neural Networks in Civil Engineering: 1989–2000
2001
A Comprehensive Survey on Particle Swarm Optimization Algorithm and Its Applications
2015 Standout
An insight into classification with imbalanced data: Empirical results and current trends on using data intrinsic characteristics
2013 Standout
Potential Biases in Machine Learning Algorithms Using Electronic Health Record Data
2018 Standout
Kernel class-wise locality preserving projection
2007
Prognostics and health management design for rotary machinery systems—Reviews, methodology and applications
2013 Standout
Learning from Imbalanced Data
2009 Standout
Research and Development of Granular Neural Networks
2013
Boosted SVM for extracting rules from imbalanced data in application to prediction of the post-operative life expectancy in the lung cancer patients
2013
Advanced nonparametric tests for multiple comparisons in the design of experiments in computational intelligence and data mining: Experimental analysis of power
2009 Standout
A review on machinery diagnostics and prognostics implementing condition-based maintenance
2005 Standout
Condition monitoring of wind turbines: Techniques and methods
2012 Standout
Maximum Neighborhood Margin Discriminant Projection for Classification
2014 Standout
Intelligent Predictive Decision Support System for Condition-Based Maintenance
2001
MWMOTE--Majority Weighted Minority Oversampling Technique for Imbalanced Data Set Learning
2012 Standout
A knowledge-based heuristic particle swarm optimization approach with the adjustment strategy for the weighted circle packing problem
2013
Rotating machinery prognostics: State of the art, challenges and opportunities
2008 Standout
A hybrid-forecasting model reducing Gaussian noise based on the Gaussian support vector regression machine and chaotic particle swarm optimization
2013
Steels for bearings
2011 Standout
Infrared and visible image fusion methods and applications: A survey
2018 Standout
Latent Dirichlet allocation (LDA) and topic modeling: models, applications, a survey
2018 Standout
New technique of nondestructive assessment of concrete strength using artificial intelligence
2004 Standout
A Systematic Literature Review on Fault Prediction Performance in Software Engineering
2011 Standout
Improving imbalanced learning through a heuristic oversampling method based on k-means and SMOTE
2018 Standout
AffectNet: A Database for Facial Expression, Valence, and Arousal Computing in the Wild
2017 Standout
Effective data generation for imbalanced learning using conditional generative adversarial networks
2017 Standout
Learning from class-imbalanced data: Review of methods and applications
2016 Standout
An overview of time-based and condition-based maintenance in industrial application
2012 Standout
Learning from imbalanced data: open challenges and future directions
2016 Standout
Multi-Label Learning by Exploiting Label Correlations Locally
2021
Comprehensive Review of Artificial Neural Network Applications to Pattern Recognition
2019 Standout
Classification assessment methods
2018 Standout
A CBR-based fuzzy decision tree approach for database classification
2009
Multiscale Convolutional Neural Networks for Fault Diagnosis of Wind Turbine Gearbox
2018 Standout
A Path for Translation of Machine Learning Products into Healthcare Delivery
2020
SMOTE for Learning from Imbalanced Data: Progress and Challenges, Marking the 15-year Anniversary
2018 Standout
Decision trees: a recent overview
2011 Standout
Survey on deep learning with class imbalance
2019 Standout
A Survey on the Internet of Things (IoT) Forensics: Challenges, Approaches, and Open Issues
2020 Standout
On cloud security requirements, threats, vulnerabilities and countermeasures: A survey
2019
Integrated multilevel image fusion and match score fusion of visible and infrared face images for robust face recognition
2007
A granular neural network: Performance analysis and application to re-granulation
2013
A Review on Multi-Label Learning Algorithms
2013 Standout
Hierarchical Bayesian nonparametric models for knowledge discovery from electronic medical records
2016
A review of novelty detection
2014 Standout
Voting based extreme learning machine
2011
Biomedical informatics advancing the national health agenda: the AMIA 2015 year-in-review in clinical and consumer informatics
2016
A Review on Ensembles for the Class Imbalance Problem: Bagging-, Boosting-, and Hybrid-Based Approaches
2011 Standout
Granular Computing Approach to Two-Way Learning Based on Formal Concept Analysis in Fuzzy Datasets
2014 Standout
Designing of classifiers based on immune principles and fuzzy rules
2007
Generalizing from a Few Examples
2020 Standout
Works of Bo Jin being referenced
Development, Validation and Deployment of a Real Time 30 Day Hospital Readmission Risk Assessment Tool in the Maine Healthcare Information Exchange
2015
Online Prediction of Health Care Utilization in the Next Six Months Based on Electronic Health Record Information: A Cohort and Validation Study
2015
Multi-label literature classification based on the Gene Ontology graph
2008
DeepMGT-DTI: Transformer network incorporating multilayer graph information for Drug–Target interaction prediction
2022
Granular support vector machines with association rules mining for protein homology prediction
2005
Risk Prediction of Emergency Department Revisit 30 Days Post Discharge: A Prospective Study
2014
A Real-Time Early Warning System for Monitoring Inpatient Mortality Risk: Prospective Study Using Electronic Medical Record Data
2019
Case-based evolutionary design approach for satellite module layout
2007
Automated Knowledge Acquisition in a Neural Network–Based Decision Support System for Incomplete Database Systems
1994
Granular Neural Networks With Evolutionary Interval Learning
2008
Support vector machines with genetic fuzzy feature transformation for biomedical data classification
2006
A Trust Model Based on Cloud Model and Bayesian Networks
2011