A dynamic ensemble learning algorithm for neural networks

Incorporating knowledge into neural network for text representation

(2018) Yiming Li et al.   EXPERT SYSTEMS WITH APPLICATIONS

Dynamic classifier selection: Recent advances and perspectives

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

Randomized neural network based descriptors for shape classification

(2018) Jarbas Joaci de Mesquita Sá Junior et al.   NEUROCOMPUTING

Reproducibility of importance extraction methods in neural network based fMRI classification

(2018) Athanasios Gotsopoulos et al.   NEUROIMAGE

Semisupervised Negative Correlation Learning

(2018) Huanhuan Chen et al.   IEEE Transactions on Neural Networks and Learning Systems

Improved learning algorithm for two-layer neural networks for identification of nonlinear systems

(2018) José A.R. Vargas et al.   NEUROCOMPUTING

Overcoming catastrophic forgetting in neural networks

(2017) James Kirkpatrick et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

A New Neural Dynamic Classification Algorithm

(2017) Mohammad Hossein Rafiei et al.   IEEE Transactions on Neural Networks and Learning Systems

Ensemble Classification and Regression-Recent Developments, Applications and Future Directions [Review Article]

(2016) Ye Ren et al.   IEEE Computational Intelligence Magazine

Multiple neural control and stabilization

(2016) Fathi Fourati   NEURAL COMPUTING & APPLICATIONS

A Bio-Inspired Incremental Learning Architecture for Applied Perceptual Problems

(2016) Alexander Gepperth et al.   Cognitive Computation

A new ensemble learning methodology based on hybridization of classifier ensemble selection approaches

(2015) R. Mousavi et al.   APPLIED SOFT COMPUTING

Modular implementation of artificial neural network in predicting in-flight particle characteristics of an atmospheric plasma spray process

(2015) T.A. Choudhury et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

DE2: Dynamic ensemble of ensembles for learning nonstationary data

(2015) Xu-Cheng Yin et al.   NEUROCOMPUTING

META-DES: A dynamic ensemble selection framework using meta-learning

(2015) Rafael M.O. Cruz et al.   PATTERN RECOGNITION

Dynamic selection of classifiers—A comprehensive review

(2014) Alceu S. Britto et al.   PATTERN RECOGNITION

Ensemble Learning in Fixed Expansion Layer Networks for Mitigating Catastrophic Forgetting

(2013) Robert Coop et al.   IEEE Transactions on Neural Networks and Learning Systems

Modelling of color perception of different eye colors using artificial neural networks

(2012) Candan Cengiz et al.   NEURAL COMPUTING & APPLICATIONS

Boosted Network Classifiers for Local Feature Selection

(2012) T. Hancock et al.   IEEE Transactions on Neural Networks and Learning Systems

Exploiting unlabeled data to enhance ensemble diversity

(2011) Min-Ling Zhang et al.   DATA MINING AND KNOWLEDGE DISCOVERY

Multiobjective Neural Network Ensembles Based on Regularized Negative Correlation Learning

(2010) Huanhuan Chen et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

Semi-Supervised Learning via Regularized Boosting Working on Multiple Semi-Supervised Assumptions

(2010) Ke Chen et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Regularized Negative Correlation Learning for Neural Network Ensembles

(2009) Huanhuan Chen et al.   IEEE TRANSACTIONS ON NEURAL NETWORKS

Bagging and Boosting Negatively Correlated Neural Networks

(2008) M.M. Islam et al.   IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS