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COMPOSE: A Semisupervised Learning Framework for Initially Labeled Nonstationary Streaming Data

IEEE transaction on neural networks and learning systems, 2014-01, Vol.25 (1), p.12-26

2014

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Adversary Aware Continual Learning

IEEE access, 2024, Vol.12, p.126108-126121

2024

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Machine Learning Analysis of Digital Clock Drawing Test Performance for Differential Classification of Mild Cognitive Impairment Subtypes Versus Alzheimer’s Disease

Journal of the International Neuropsychological Society, 2020-08, Vol.26 (7), p.690-700

2020

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Incremental Learning of Concept Drift from Streaming Imbalanced Data

IEEE transactions on knowledge and data engineering, 2013-10, Vol.25 (10), p.2283-2301

2013

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Complet+: a computationally scalable method to improve completeness of large-scale protein sequence clustering

PeerJ (San Francisco, CA), 2023-02, Vol.11, p.e14779-e14779, Article e14779

2023

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Incremental Learning of Concept Drift in Nonstationary Environments

IEEE transaction on neural networks and learning systems, 2011-10, Vol.22 (10), p.1517-1531

2011

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A Sequential Learning Approach for Scaling Up Filter-Based Feature Subset Selection

IEEE transaction on neural networks and learning systems, 2018-06, Vol.29 (6), p.2530-2544

2018

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Guest Editorial Learning in Nonstationary and Evolving Environments

IEEE transaction on neural networks and learning systems, 2014-01, Vol.25 (1), p.9-11

2014

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Extensions to Online Feature Selection Using Bagging and Boosting

IEEE transaction on neural networks and learning systems, 2018-09, Vol.29 (9), p.4504-4509

2018

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Identifying amyloid pathology–related cerebrospinal fluid biomarkers for Alzheimer's disease in a multicohort study

Alzheimer's & dementia : diagnosis, assessment & disease monitoring, 2015-09, Vol.1 (3), p.339-348

2015

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A Bootstrap Based Neyman-Pearson Test for Identifying Variable Importance

IEEE transaction on neural networks and learning systems, 2015-04, Vol.26 (4), p.880-886

2015

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Learning from streaming data with concept drift and imbalance: an overview

Progress in artificial intelligence, 2012-04, Vol.1 (1), p.89-101

2012

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SPECIAL ISSUE ON LEARNING IN NONSTATIONARY AND EVOLVING ENVIRONMENTS

IEEE transaction on neural networks and learning systems, 2014, Vol.25 (1)

2014

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Learn ^ .NC: Combining Ensemble of Classifiers With Dynamically Weighted Consult-and-Vote for Efficient Incremental Learning of New Classes

IEEE transaction on neural networks and learning systems, 2009-01, Vol.20 (1), p.152-168

2009

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Artificial intelligence methods for selection of an optimized sensor array for identification of volatile organic compounds

Sensors and actuators. B, Chemical, 2001-12, Vol.80 (3), p.243-254

2001

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Which Is the Best Multiclass SVM Method? An Empirical Study

Lecture notes in computer science, 2005, p.278-285

2005

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Signal Processing for Metagenomics: Extracting Information from the Soup

Current genomics, 2009-11, Vol.10 (7), p.493-510

2009

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COMPOSE: A Semisupervised Learning Framework for Initially Labeled Nonstationary Streaming Data: SPECIAL ISSUE ON LEARNING IN NONSTATIONARY AND EVOLVING ENVIRONMENTS

IEEE transaction on neural networks and learning systems, 2014, Vol.25 (1), p.12-26

2014

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Learn++: an incremental learning algorithm for supervised neural networks

IEEE transactions on human-machine systems, 2001-11, Vol.31 (4), p.497-508

2001

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P50: A candidate ERP biomarker of prodromal Alzheimer's disease

Brain research, 2015-10, Vol.1624, p.390-397

2015

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An Ensemble-Based Incremental Learning Approach to Data Fusion

IEEE transactions on cybernetics, 2007-04, Vol.37 (2), p.437-450

2007

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Hemodynamic Response to Repeated Noxious Cold Pressor Tests Measured by Functional Near Infrared Spectroscopy on Forehead

Annals of biomedical engineering, 2013-02, Vol.41 (2), p.223-237

2013

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Local Classifier Weighting by Quadratic Programming

IEEE transaction on neural networks and learning systems, 2008-10, Vol.19 (10), p.1832-1838

2008

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Learn ++.MF: A random subspace approach for the missing feature problem

Pattern recognition, 2010-11, Vol.43 (11), p.3817-3832

2010

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Big Data and Situation-Aware Technology for Smarter Healthcare

Journal of medical and biological engineering, 2018-12, Vol.38 (6), p.845-846

2018

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COMPOSE: A Semisupervised Learning Framework for Initially Labeled Nonstationary Streaming Data

Adversary Aware Continual Learning

Machine Learning Analysis of Digital Clock Drawing Test Performance for Differential Classification of Mild Cognitive Impairment Subtypes Versus Alzheimer’s Disease

Incremental Learning of Concept Drift from Streaming Imbalanced Data

Complet+: a computationally scalable method to improve completeness of large-scale protein sequence clustering

Incremental Learning of Concept Drift in Nonstationary Environments

A Sequential Learning Approach for Scaling Up Filter-Based Feature Subset Selection

Guest Editorial Learning in Nonstationary and Evolving Environments

Extensions to Online Feature Selection Using Bagging and Boosting

Identifying amyloid pathology–related cerebrospinal fluid biomarkers for Alzheimer's disease in a multicohort study

A Bootstrap Based Neyman-Pearson Test for Identifying Variable Importance

Learning from streaming data with concept drift and imbalance: an overview

SPECIAL ISSUE ON LEARNING IN NONSTATIONARY AND EVOLVING ENVIRONMENTS

Learn ^ .NC: Combining Ensemble of Classifiers With Dynamically Weighted Consult-and-Vote for Efficient Incremental Learning of New Classes

Artificial intelligence methods for selection of an optimized sensor array for identification of volatile organic compounds

Which Is the Best Multiclass SVM Method? An Empirical Study

Signal Processing for Metagenomics: Extracting Information from the Soup

COMPOSE: A Semisupervised Learning Framework for Initially Labeled Nonstationary Streaming Data: SPECIAL ISSUE ON LEARNING IN NONSTATIONARY AND EVOLVING ENVIRONMENTS

Learn++: an incremental learning algorithm for supervised neural networks

P50: A candidate ERP biomarker of prodromal Alzheimer's disease

An Ensemble-Based Incremental Learning Approach to Data Fusion

Hemodynamic Response to Repeated Noxious Cold Pressor Tests Measured by Functional Near Infrared Spectroscopy on Forehead

Local Classifier Weighting by Quadratic Programming

Learn ++.MF: A random subspace approach for the missing feature problem

Big Data and Situation-Aware Technology for Smarter Healthcare

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