An optimal pruning algorithm of classifier ensembles: dynamic programming approach

Targeting customers for profit: An ensemble learning framework to support marketing decision-making

(2019) Stefan Lessmann et al.   INFORMATION SCIENCES

CWV-BANN-SVM Ensemble Learning Classifier for Early Diagnosis of Breast Cancer

(2019) Moloud Abdar   MEASUREMENT

Integration of deep feature extraction and ensemble learning for outlier detection

(2019) Debasrita Chakraborty et al.   PATTERN RECOGNITION

Prediction of Taxi Destinations Using a Novel Data Embedding Method and Ensemble Learning

(2019) Xiaocai Zhang et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

A novel ensemble learning approach to support building energy use prediction

(2018) Zeyu Wang et al.   ENERGY AND BUILDINGS

A new nested ensemble technique for automated diagnosis of breast cancer

(2018) Moloud Abdar et al.   PATTERN RECOGNITION LETTERS

An efficient ordering-based ensemble pruning algorithm via dynamic programming

(2015) Qun Dai et al.   APPLIED INTELLIGENCE

Proposing a classifier ensemble framework based on classifier selection and decision tree

(2015) Hamid Parvin et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

Neighbourhood sampling in bagging for imbalanced data

(2015) Jerzy Błaszczyński et al.   NEUROCOMPUTING

A Dynamic Programming Approach for Optimal Signal Priority Control Upon Multiple High-Frequency Bus Requests

(2013) Wanjing Ma et al.   Journal of Intelligent Transportation Systems

Optimal selection of ensemble classifiers using measures of competence and diversity of base classifiers

(2013) Rafal Lysiak et al.   NEUROCOMPUTING

A competitive ensemble pruning approach based on cross-validation technique

(2012) Qun Dai   KNOWLEDGE-BASED SYSTEMS

An Analysis of Ensemble Pruning Techniques Based on Ordered Aggregation

(2009) G. Martinez-Muoz et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE