Detecting outliers in industrial systems using a hybrid ensemble scheme

Detecting Outliers in Electric Arc Furnace under the Condition of Unlabeled, Imbalanced, Non-stationary and Noisy Data

(2018) Biao Wang et al.   MEASUREMENT & CONTROL

One-class classifiers ensemble based anomaly detection scheme for process control systems

(2017) Biao Wang et al.   TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL

Dynamic Clustering Forest: An ensemble framework to efficiently classify textual data stream with concept drift

(2016) Ge Song et al.   INFORMATION SCIENCES

Ensemble fixed-size LS-SVMs applied for the Mach number prediction in transonic wind tunnel

(2015) Xiaojun Wang et al.   IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS

BeeOWA: A novel approach based on ABC algorithm and induced OWA operators for constructing one-class classifier ensembles

(2015) Elham Parhizkar et al.   NEUROCOMPUTING

Incremental multiple instance outlier detection

(2014) Zhigang Wang et al.   NEURAL COMPUTING & APPLICATIONS

Adaptive fuzzy clustering based anomaly data detection in energy system of steel industry

(2013) Jun Zhao et al.   INFORMATION SCIENCES

An Online Outlier Identification and Removal Scheme for Improving Fault Detection Performance

(2013) Hasan Ferdowsi et al.   IEEE Transactions on Neural Networks and Learning Systems

Textual and Visual Content-Based Anti-Phishing: A Bayesian Approach

(2011) Haijun Zhang et al.   IEEE TRANSACTIONS ON NEURAL NETWORKS

A direct adaptive controller for EAF electrode regulator system using neural networks

(2011) Lei Li et al.   NEUROCOMPUTING

Outlier detection for process control data based on a non-linear Auto-Regression Hidden Markov Model method

(2011) Fang Liu et al.   TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL

Comparing Boosting and Bagging Techniques With Noisy and Imbalanced Data

(2010) Taghi M. Khoshgoftaar et al.   IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART A-SYSTEMS AND HUMANS

A new artificial neural network ensemble based on feature selection and class recoding

(2010) M. P. Sesmero et al.   NEURAL COMPUTING & APPLICATIONS

Imbalanced classification using support vector machine ensemble

(2010) Jiang Tian et al.   NEURAL COMPUTING & APPLICATIONS

Anomaly detection

(2009) Varun Chandola et al.   ACM COMPUTING SURVEYS

Learning from Imbalanced Data

(2009) Haibo He et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

Combining nearest neighbor data description and structural risk minimization for one-class classification

(2008) George G. Cabral et al.   NEURAL COMPUTING & APPLICATIONS