Parallelized extreme learning machine for online data classification

Online sequential extreme learning machine with the increased classes

(2021) Hualong Yu et al.   COMPUTERS & ELECTRICAL ENGINEERING

A comprehensive active learning method for multiclass imbalanced data streams with concept drift

(2021) Weike Liu et al.   KNOWLEDGE-BASED SYSTEMS

Evolving deep convolutional neutral network by hybrid sine–cosine and extreme learning machine for real-time COVID19 diagnosis from X-ray images

(2021) Chao Wu et al.   Soft Computing

Deep Metric Learning with Online Hard Mining for Hyperspectral Classification

(2021) Yanni Dong et al.   Remote Sensing

Classification of the drifting data streams using heterogeneous diversified dynamic class-weighted ensemble

(2021) Martin Sarnovsky et al.   PeerJ Computer Science

A real-time hostile activities analyses and detection system

(2021) Sajjad Dadkhah et al.   APPLIED SOFT COMPUTING

Improved Landcover Classification using Online Spectral Data Hallucination

(2021) Saurabh Kumar et al.   NEUROCOMPUTING

Recurrent Adaptive Classifier Ensemble for Handling Recurring Concept Drifts

(2021) Tinofirei Museba et al.   Applied Computational Intelligence and Soft Computing

Incremental learning imbalanced data streams with concept drift: The dynamic updated ensemble algorithm

(2020) Zeng Li et al.   KNOWLEDGE-BASED SYSTEMS

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

(2020) Ozge Aydogdu et al.   MULTIMEDIA TOOLS AND APPLICATIONS

Accuracy weighted diversity-based online boosting

(2020) Ishwar Baidari et al.   EXPERT SYSTEMS WITH APPLICATIONS

Adversarial Privacy-Preserving Graph Embedding Against Inference Attack

(2020) Kaiyang Li et al.   IEEE Internet of Things Journal

EACD: evolutionary adaptation to concept drifts in data streams

(2019) Hossein Ghomeshi et al.   DATA MINING AND KNOWLEDGE DISCOVERY

A non-canonical hybrid metaheuristic approach to adaptive data stream classification

(2019) Hossein Ghomeshi et al.   Future Generation Computer Systems-The International Journal of eScience

Semi-supervised learning based distributed attack detection framework for IoT

(2018) Shailendra Rathore et al.   APPLIED SOFT COMPUTING

TaxiRec: Recommending Road Clusters to Taxi Drivers Using Ranking-Based Extreme Learning Machines

(2018) Ran Wang et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

Adaptive random forests for evolving data stream classification

(2017) Heitor M. Gomes et al.   MACHINE LEARNING

Fast and Stable Learning of Dynamical Systems Based on Extreme Learning Machine

(2017) Jianghua Duan et al.   IEEE Transactions on Systems Man Cybernetics-Systems

A fast incremental extreme learning machine algorithm for data streams classification

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

Online Bagging and Boosting for Imbalanced Data Streams

(2016) Boyu Wang et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

Development of Autonomous Car—Part I: Distributed System Architecture and Development Process

(2014) Kichun Jo et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Weighted Online Sequential Extreme Learning Machine for Class Imbalance Learning

(2013) Bilal Mirza et al.   NEURAL PROCESSING LETTERS

Ensemble of online sequential extreme learning machine

(2009) Yuan Lan et al.   NEUROCOMPUTING

Enhanced random search based incremental extreme learning machine

(2007) Guang-Bin Huang et al.   NEUROCOMPUTING