OLP++: An online local classifier for high dimensional data

A comparison of local explanation methods for high-dimensional industrial data: A simulation study

(2022) Niklas Fries et al.   EXPERT SYSTEMS WITH APPLICATIONS

A Novel Feature Selection Method based on MRMR and Enhanced Flower Pollination Algorithm for High Dimensional Biomedical Data

(2021) Chaokun Yan et al.   Current Bioinformatics

Fusion of linear base classifiers in geometric space

(2021) Paweł Ksieniewicz et al.   KNOWLEDGE-BASED SYSTEMS

Clustering ensemble via structured hypergraph learning

(2021) Peng Zhou et al.   Information Fusion

Decision Tree Integration Using Dynamic Regions of Competence

(2020) Jędrzej Biedrzycki et al.   Entropy

Ensemble classification for imbalanced data based on feature space partitioning and hybrid metaheuristics

(2019) Pedro Lopez-Garcia et al.   APPLIED INTELLIGENCE

Tree-based space partition and merging ensemble learning framework for imbalanced problems

(2019) Zonghai Zhu et al.   INFORMATION SCIENCES

Dynamic classifier selection: Recent advances and perspectives

(2018) Rafael M.O. Cruz et al.   Information Fusion

Building forests of local trees

(2018) Giuliano Armano et al.   PATTERN RECOGNITION

Online local pool generation for dynamic classifier selection

(2018) Mariana A. Souza et al.   PATTERN RECOGNITION

META-DES.Oracle: Meta-learning and feature selection for dynamic ensemble selection

(2017) Rafael M.O. Cruz et al.   Information Fusion

Prototype selection for dynamic classifier and ensemble selection

(2016) Rafael M. O. Cruz et al.   NEURAL COMPUTING & APPLICATIONS

DRCW-OVO: Distance-based relative competence weighting combination for One-vs-One strategy in multi-class problems

(2015) Mikel Galar et al.   PATTERN RECOGNITION

Dynamic selection of classifiers—A comprehensive review

(2014) Alceu S. Britto et al.   PATTERN RECOGNITION

Benchmarking local classification methods

(2013) Bernd Bischl et al.   COMPUTATIONAL STATISTICS

An instance level analysis of data complexity

(2013) Michael R. Smith et al.   MACHINE LEARNING

Mixture of experts: a literature survey

(2012) Saeed Masoudnia et al.   ARTIFICIAL INTELLIGENCE REVIEW

LoGID: An adaptive framework combining local and global incremental learning for dynamic selection of ensembles of HMMs

(2012) Paulo R. Cavalin et al.   PATTERN RECOGNITION

Cluster-Oriented Ensemble Classifier: Impact of Multicluster Characterization on Ensemble Classifier Learning

(2011) Brijesh Verma et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

A probabilistic model of classifier competence for dynamic ensemble selection

(2011) Tomasz Woloszynski et al.   PATTERN RECOGNITION

Algorithm of designing compound recognition system on the basis of combining classifiers with simultaneous splitting feature space into competence areas

(2008) Konrad Jackowski et al.   PATTERN ANALYSIS AND APPLICATIONS