A new approach for data stream classification: unsupervised feature representational online sequential extreme learning machine

Adaptive online extreme learning machine by regulating forgetting factor by concept drift map

(2019) Hualong Yu et al.   NEUROCOMPUTING

A review of improved extreme learning machine methods for data stream classification

(2019) Li Li et al.   MULTIMEDIA TOOLS AND APPLICATIONS

Online ensemble learning with abstaining classifiers for drifting and noisy data streams

(2018) Bartosz Krawczyk et al.   APPLIED SOFT COMPUTING

An online sequential multiple hidden layers extreme learning machine method with forgetting mechanism

(2018) Dong Xiao et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

Restricted Boltzmann machine to determine the input weights for extreme learning machines

(2018) Andre G.C. Pacheco et al.   EXPERT SYSTEMS WITH APPLICATIONS

Kernel based online learning for imbalance multiclass classification

(2018) Shuya Ding et al.   NEUROCOMPUTING

Evolutionary Hierarchical Sparse Extreme Learning Autoencoder Network for Object Recognition

(2018) Yujun Zeng et al.   Symmetry-Basel

Meta-cognitive Recurrent Recursive Kernel OS-ELM for concept drift handling

(2018) Zongying Liu et al.   APPLIED SOFT COMPUTING

On the reliable detection of concept drift from streaming unlabeled data

(2017) Tegjyot Singh Sethi et al.   EXPERT SYSTEMS WITH APPLICATIONS

A clustering algorithm for stream data with LDA-based unsupervised localized dimension reduction

(2017) Sirisup Laohakiat et al.   INFORMATION SCIENCES

Dual weighted extreme learning machine for imbalanced data stream classification

(2017) Yong Zhang et al.   JOURNAL OF INTELLIGENT & FUZZY SYSTEMS

The selection of input weights of extreme learning machine: A sample structure preserving point of view

(2017) Wenhui Wang et al.   NEUROCOMPUTING

SOM-based partial labeling of imbalanced data stream

(2017) Elaheh Arabmakki et al.   NEUROCOMPUTING

Dynamic extreme learning machine for data stream classification

(2017) Shuliang Xu et al.   NEUROCOMPUTING

Characterizing concept drift

(2016) Geoffrey I. Webb et al.   DATA MINING AND KNOWLEDGE DISCOVERY

A fast incremental extreme learning machine algorithm for data streams classification

(2016) Shuliang Xu et al.   EXPERT SYSTEMS WITH APPLICATIONS

Meta-cognitive online sequential extreme learning machine for imbalanced and concept-drifting data classification

(2016) Bilal Mirza et al.   NEURAL NETWORKS

An online sequential learning algorithm for regularized Extreme Learning Machine

(2016) Zhifei Shao et al.   NEUROCOMPUTING

Online sequential reduced kernel extreme learning machine

(2016) Wan-Yu Deng et al.   NEUROCOMPUTING

An intrusion detection system using network traffic profiling and online sequential extreme learning machine

(2015) Raman Singh et al.   EXPERT SYSTEMS WITH APPLICATIONS

Achieving Efficient Cloud Search Services: Multi-Keyword Ranked Search over Encrypted Cloud Data Supporting Parallel Computing

(2015) Zhangjie FU et al.   IEICE TRANSACTIONS ON COMMUNICATIONS

Ensemble of subset online sequential extreme learning machine for class imbalance and concept drift

(2015) Bilal Mirza et al.   NEUROCOMPUTING

An oscillation bound of the generalization performance of extreme learning machine and corresponding analysis

(2015) Di Wang et al.   NEUROCOMPUTING

Achieving Efficient Cloud Search Services: Multi-Keyword Ranked Search over Encrypted Cloud Data Supporting Parallel Computing

(2015) Zhangjie FU et al.   IEICE TRANSACTIONS ON COMMUNICATIONS

Unsupervised extreme learning machine with representational features

(2015) Shifei Ding et al.   International Journal of Machine Learning and Cybernetics

Incremental partial least squares analysis of big streaming data

(2014) Xue-Qiang Zeng et al.   PATTERN RECOGNITION

A Fast Density-Based Clustering Algorithm for Real-Time Internet of Things Stream

(2014) Amineh Amini et al.   TheScientificWorldJOURNAL

Weighted Online Sequential Extreme Learning Machine for Class Imbalance Learning

(2013) Bilal Mirza et al.   NEURAL PROCESSING LETTERS

Decision Trees for Mining Data Streams Based on the McDiarmid's Bound

(2012) Leszek Rutkowski et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

DragonNet: A Robust Mobile Internet Service System for Long Distance Trains

(2012) Fung Po Tso et al.   IEEE TRANSACTIONS ON MOBILE COMPUTING

Online sequential extreme learning machine with forgetting mechanism

(2012) Jianwei Zhao et al.   NEUROCOMPUTING

An improved evolutionary extreme learning machine based on particle swarm optimization

(2012) Fei Han et al.   NEUROCOMPUTING

Extreme Learning Machine for Regression and Multiclass Classification

(2011) Guang-Bin Huang et al.   IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS

A study on effectiveness of extreme learning machine

(2011) Yuguang Wang et al.   NEUROCOMPUTING

A view of cloud computing

(2010) Michael Armbrust et al.   COMMUNICATIONS OF THE ACM

The Internet of Things: A survey

(2010) Luigi Atzori et al.   Computer Networks

Robust ensemble learning for mining noisy data streams

(2010) Peng Zhang et al.   DECISION SUPPORT SYSTEMS

OP-ELM: Optimally Pruned Extreme Learning Machine

(2009) Yoan Miche et al.   IEEE TRANSACTIONS ON NEURAL NETWORKS

Ensemble of online sequential extreme learning machine

(2009) Yuan Lan et al.   NEUROCOMPUTING