Citation Impact
Citing Papers
Magnetic Resonance Imaging–Based Three‐Dimensional Bone Shape of the Knee Predicts Onset of Knee Osteoarthritis: Data From the Osteoarthritis Initiative
2013
Synovitis in osteoarthritis: current understanding with therapeutic implications
2017 Standout
Differential expression analysis for sequence count data
2010 Standout
Ensemble learning for data stream analysis: A survey
2017
Prediction of undrained shear strength using extreme gradient boosting and random forest based on Bayesian optimization
2020 Standout
Characterization of multinucleated giant cells in synovium and subchondral bone in knee osteoarthritis and rheumatoid arthritis
2015
Explainable AI: A Review of Machine Learning Interpretability Methods
2020 Standout
Enhanced Local Texture Feature Sets for Face Recognition Under Difficult Lighting Conditions
2010 Standout
Evaluation of 14 nonlinear deformation algorithms applied to human brain MRI registration
2009 Standout
Osteoarthritis
2015 Standout
Near-Bayesian Support Vector Machines for imbalanced data classification with equal or unequal misclassification costs
2015
Fingerprinting food: current technologies for the detection of food adulteration and contamination
2012 Standout
A systematic literature review on intelligent automation: Aligning concepts from theory, practice, and future perspectives
2021 Standout
Context-aware decision making under uncertainty for voice-based control of smart home
2017
SVM-DS fusion based soft fault detection and diagnosis in solar water heaters
2018 Standout
Computer recognition systems
2010
Pattern Recognition and Neural Networks
1996 Standout
A Review on State-of-the-Art Power Line Inspection Techniques
2020 Standout
Ensemble based systems in decision making
2006 Standout
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
Biometrics: A Tool for Information Security
2006 Standout
A novel dynamic rough subspace based selective ensemble
2014
A Review of Computer Vision Techniques for the Analysis of Urban Traffic
2011 Standout
A Dataset for Breast Cancer Histopathological Image Classification
2015 Standout
An iterative growing and pruning algorithm for classification tree design
1991
EEG emotion recognition using fusion model of graph convolutional neural networks and LSTM
2020 Standout
Data-driven Soft Sensors in the process industry
2009 Standout
Ensemble-based classifiers
2009 Standout
Benchmarking state-of-the-art classification algorithms for credit scoring: An update of research
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
Cost-sensitive boosting for classification of imbalanced data
2007 Standout
A survey of decision tree classifier methodology
1991 Standout
Empowering one-vs-one decomposition with ensemble learning for multi-class imbalanced data
2016
Oil and Fat Classification by Selected Bands of Near-Infrared Spectroscopy
2000
Ensemble of keyword extraction methods and classifiers in text classification
2016 Standout
Machine Learning and Deep Learning in smart manufacturing: The Smart Grid paradigm
2021 Standout
Machine Learning in Predictive Maintenance towards Sustainable Smart Manufacturing in Industry 4.0
2020 Standout
CLASSIFICATION OF IMBALANCED DATA: A REVIEW
2009 Standout
A random forest guided tour
2016 Standout
Unbiased Recursive Partitioning: A Conditional Inference Framework
2006 Standout
A tutorial on human activity recognition using body-worn inertial sensors
2014 Standout
Statistical pattern recognition: a review
2000 Standout
The random subspace method for constructing decision forests
1998 Standout
A survey on ensemble learning
2019 Standout
On combining classifiers
1998 Standout
Cellular tree classifiers
2013
An Introduction to Biometric Recognition
2004 Standout
An empirical comparison on state-of-the-art multi-class imbalance learning algorithms and a new diversified ensemble learning scheme
2018
Learning from class-imbalanced data: Review of methods and applications
2016 Standout
Learning from imbalanced data: open challenges and future directions
2016 Standout
Automatic pattern recognition: a study of the probability of error
1988
On hyperparameter optimization of machine learning algorithms: Theory and practice
2020 Standout
Information fusion in biometrics
2003 Standout
Hybrid Incremental Ensemble Learning for Noisy Real-World Data Classification
2017
Score normalization in multimodal biometric systems
2005 Standout
Automatic Construction of Decision Trees from Data: A Multi-Disciplinary Survey
1998
Intelligent fault diagnosis of rolling bearings based on normalized CNN considering data imbalance and variable working conditions
2020 Standout
Combining Pattern Classifiers: Methods and Algorithms
2005 Standout
Ensemble of Deep Neural Networks with Probability-Based Fusion for Facial Expression Recognition
2017
SMOTE for Learning from Imbalanced Data: Progress and Challenges, Marking the 15-year Anniversary
2018 Standout
Decision trees: a recent overview
2011 Standout
Multiple binary decision tree classifiers
1990
Design of effective neural network ensembles for image classification purposes
2001 Standout
A survey of multiple classifier systems as hybrid systems
2013
Data mining: concepts and techniques
2012 Standout
Constructing a multi-class classifier using one-against-one approach with different binary classifiers
2014
Cracked Insulator Detection Based on R-FCN
2018
Dynamic selection of classifiers—A comprehensive review
2014
Graph-based approach for airborne light detection and ranging segmentation
2017 Standout
A novel classifier ensemble method with sparsity and diversity
2014
Combining classifiers: A theoretical framework
1998
Ensemble learning: A survey
2018 Standout
A Review on Ensembles for the Class Imbalance Problem: Bagging-, Boosting-, and Hybrid-Based Approaches
2011 Standout
Works of Marek Kurzyński being referenced
Prediction of progression of radiographic knee osteoarthritis using tibial trabecular bone texture
2011
A measure of competence based on random classification for dynamic ensemble selection
2011
On the identity of optimal strategies for multistage classifiers
1989
Proceedings of the 9th International Conference on Computer Recognition Systems CORES 2015
2016
Optimal selection of ensemble classifiers using measures of competence and diversity of base classifiers
2013
Human–machine interface in bioprosthesis control using EMG signal classification
2010
On the multistage Bayes classifier
1988
Combining classifiers under probabilistic models: experimental comparative analysis of methods
2011
Decision rules for a hierarchical classifier
1983
The optimal strategy of a tree classifier
1983
A probabilistic model of classifier competence for dynamic ensemble selection
2011
On two measures of classifier competence for dynamic ensemble selection - experimental comparative analysis
2010
Computer Recognition Systems 4
2011
Proceedings of the 8th International Conference on Computer Recognition Systems CORES 2013
2013
Hybrid Artificial Intelligent Systems
2011
Proceedings of the 10th International Conference on Computer Recognition Systems CORES 2017
2017