Online sequential extreme learning machine with the increased classes

Adaptive Decision Threshold-Based Extreme Learning Machine for Classifying Imbalanced Multi-label Data

(2020) Shang Gao et al.   NEURAL PROCESSING LETTERS

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

(2019) Hualong Yu et al.   NEUROCOMPUTING

CRIP: predicting circRNA-RBP interaction sites using a codon-based encoding and hybrid deep neural networks

(2019) Kaiming Zhang et al.   RNA

Multi-kernel extreme learning machine for EEG classification in brain-computer interfaces

(2018) Yu Zhang et al.   EXPERT SYSTEMS WITH APPLICATIONS

Robust semi-supervised extreme learning machine

(2018) Huimin Pei et al.   KNOWLEDGE-BASED SYSTEMS

Active Learning From Imbalanced Data: A Solution of Online Weighted Extreme Learning Machine

(2018)   IEEE Transactions on Neural Networks and Learning Systems

An enhanced extreme learning machine model for river flow forecasting: State-of-the-art, practical applications in water resource engineering area and future research direction

(2018) Zaher Mundher Yaseen et al.   JOURNAL OF HYDROLOGY

One-Pass Learning with Incremental and Decremental Features

(2017) Chenping Hou et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Brain Intelligence: Go beyond Artificial Intelligence

(2017) Huimin Lu et al.   MOBILE NETWORKS & APPLICATIONS

Deep Direct Reinforcement Learning for Financial Signal Representation and Trading

(2017) Yue Deng et al.   IEEE Transactions on Neural Networks and Learning Systems

Disease Prediction by Machine Learning Over Big Data From Healthcare Communities

(2017) Min Chen et al.   IEEE Access

Motor Anomaly Detection for Unmanned Aerial Vehicles Using Reinforcement Learning

(2017) Huimin Lu et al.   IEEE Internet of Things Journal

Characterizing concept drift

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

Online Ensemble Learning of Data Streams with Gradually Evolved Classes

(2016) Yu Sun et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

ODOC-ELM: Optimal decision outputs compensation-based extreme learning machine for classifying imbalanced data

(2016) Hualong Yu et al.   KNOWLEDGE-BASED SYSTEMS

Online Learning in Large-Scale Contextual Recommender Systems

(2016) Linqi Song et al.   IEEE Transactions on Services Computing

Trends in extreme learning machines: A review

(2015) Gao Huang et al.   NEURAL NETWORKS

AL-ELM: One uncertainty-based active learning algorithm using extreme learning machine

(2015) Hualong Yu et al.   NEUROCOMPUTING

Underwater image dehazing using joint trilateral filter

(2013) Seiichi Serikawa et al.   COMPUTERS & ELECTRICAL ENGINEERING

Online Support Vector Machine Based on Convex Hull Vertices Selection

(2013) Di Wang et al.   IEEE Transactions on Neural Networks and Learning Systems

Extreme Learning Machine for Regression and Multiclass Classification

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

Integrative clustering of multiple genomic data types using a joint latent variable model with application to breast and lung cancer subtype analysis

(2009) Ronglai Shen et al.   BIOINFORMATICS

The Impact of Diversity on Online Ensemble Learning in the Presence of Concept Drift

(2009) L.L. Minku et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

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

(2008) M.D. Muhlbaier et al.   IEEE TRANSACTIONS ON NEURAL NETWORKS