Optimizing the early glaucoma detection from visual fields by combining preprocessing techniques and ensemble classifier with selection strategies

Characterization of Central Visual Field Loss in End-stage Glaucoma by Unsupervised Artificial Intelligence

(2020) Mengyu Wang et al.   JAMA Ophthalmology

SMOTE-Boost-based sparse Bayesian model for flood prediction

(2020) Yirui Wu et al.   EURASIP Journal on Wireless Communications and Networking

Glaucoma classification based on intra-class and extra-class discriminative correlation and consensus ensemble classifier

(2020) Balasubramanian Kishore et al.   GENOMICS

An Improved Oversampling Algorithm Based on the Samples’ Selection Strategy for Classifying Imbalanced Data

(2019) Wenhao Xie et al.   MATHEMATICAL PROBLEMS IN ENGINEERING

Dynamic classifier selection: Recent advances and perspectives

(2018) Rafael M.O. Cruz et al.   Information Fusion

A study on combining dynamic selection and data preprocessing for imbalance learning

(2018) Anandarup Roy et al.   NEUROCOMPUTING

Efficacy of a Deep Learning System for Detecting Glaucomatous Optic Neuropathy Based on Color Fundus Photographs

(2018) Zhixi Li et al.   OPHTHALMOLOGY

Efficient kNN Classification With Different Numbers of Nearest Neighbors

(2018) Shichao Zhang et al.   IEEE Transactions on Neural Networks and Learning Systems

Computer-aided diagnosis of glaucoma using fundus images: A review

(2018) Yuki Hagiwara et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

A deep learning approach to automatic detection of early glaucoma from visual fields

(2018) Şerife Seda Kucur et al.   PLoS One

Data fusion and machine learning for industrial prognosis: Trends and perspectives towards Industry 4.0

(2018) Alberto Diez-Olivan et al.   Information Fusion

Ensembles for feature selection: A review and future trends

(2018) Verónica Bolón-Canedo et al.   Information Fusion

Learning from class-imbalanced data: Review of methods and applications

(2017) Guo Haixiang et al.   EXPERT SYSTEMS WITH APPLICATIONS

Feature selection and ensemble construction: A two-step method for aspect based sentiment analysis

(2017) Md Shad Akhtar et al.   KNOWLEDGE-BASED SYSTEMS

A Survey of Predictive Modeling on Imbalanced Domains

(2016) Paula Branco et al.   ACM COMPUTING SURVEYS

Accuracy Assessment of Intra- and Intervisit Fundus Image Registration for Diabetic Retinopathy Screening

(2015) K. M. Adal et al.   INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE

ROSEFW-RF: The winner algorithm for the ECBDL’14 big data competition: An extremely imbalanced big data bioinformatics problem

(2015) Isaac Triguero et al.   KNOWLEDGE-BASED SYSTEMS

Random Balance: Ensembles of variable priors classifiers for imbalanced data

(2015) José F. Díez-Pastor et al.   KNOWLEDGE-BASED SYSTEMS

Glaucoma Progression Detection Using Structural Retinal Nerve Fiber Layer Measurements and Functional Visual Field Points

(2014) Siamak Yousefi et al.   IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING

Exploring Early Glaucoma and the Visual Field Test: Classification and Clustering Using Bayesian Networks

(2014) Stefano Ceccon et al.   IEEE Journal of Biomedical and Health Informatics

A Kernel-Based Feature Selection Method for SVM With RBF Kernel for Hyperspectral Image Classification

(2013) Bor-Chen Kuo et al.   IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Novel Cost-Sensitive Approach to Improve the Multilayer Perceptron Performance on Imbalanced Data

(2013) C. L. Castro et al.   IEEE Transactions on Neural Networks and Learning Systems

Comparison of clinicians and an artificial neural network regarding accuracy and certainty in performance of visual field assessment for the diagnosis of glaucoma

(2012) Sabina Andersson et al.   ACTA OPHTHALMOLOGICA

MWMOTE--Majority Weighted Minority Oversampling Technique for Imbalanced Data Set Learning

(2012) Sukarna Barua et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

A competitive ensemble pruning approach based on cross-validation technique

(2012) Qun Dai   KNOWLEDGE-BASED SYSTEMS

How large should ensembles of classifiers be?

(2012) Daniel Hernández-Lobato et al.   PATTERN RECOGNITION

Dynamic classifier ensemble model for customer classification with imbalanced class distribution

(2011) Jin Xiao et al.   EXPERT SYSTEMS WITH APPLICATIONS

On the effectiveness of preprocessing methods when dealing with different levels of class imbalance

(2011) V. García et al.   KNOWLEDGE-BASED SYSTEMS

A probabilistic model of classifier competence for dynamic ensemble selection

(2011) Tomasz Woloszynski et al.   PATTERN RECOGNITION

RAMOBoost: Ranked Minority Oversampling in Boosting

(2010) Sheng Chen et al.   IEEE TRANSACTIONS ON NEURAL NETWORKS

Machine Learning Classifiers in Glaucoma

(2008) CHRISTOPHER BOWD et al.   OPTOMETRY AND VISION SCIENCE

Diagnostic Tools for Glaucoma Detection and Management

(2008) Pooja Sharma et al.   SURVEY OF OPHTHALMOLOGY