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Keyword

ensemble selection

Description: A machine-learning procedure for choosing a subset of predictive models whose combined outputs perform effectively on a task.
OpenAlex ID: keywords/ensemble-selection
Ensemble selection from libraries of models
2004 · Rich Caruana, Alexandru Niculescu-Mizil, et al. · 895
Classifier selection for majority voting
2004 · Dymitr Ruta, Bogdan Gabrys · Information Fusion · 630
Actively Searching for an Effective Neural Network Ensemble
1996 · David W Opitz, Jude W Shavlik · Connection Science · 332
NMR Characterization of Long-Range Order in Intrinsically Disordered Proteins
2010 · Loïc Salmon, Gabrielle Nodet, et al. · Journal of the American Chemical Society · 304
Moderate diversity for better cluster ensembles
2005 · Stefan T. Hadjitodorov, Ludmila I. Kuncheva, et al. · Information Fusion · 222
Dynamic ensemble selection for multi-class imbalanced datasets
2018 · Salvador García, Zhong-Liang Zhang, et al. · Information Sciences · 181
Cost-sensitive KNN classification
2019 · Shichao Zhang · Neurocomputing · 180
Selecting CMIP6 GCMs for CORDEX Dynamical Downscaling: Model Performance, Independence, and Climate Change Signals
2022 · Giovanni Di Virgilio, Fei Ji, et al. · Earth s Future · 163
On the selection of decision trees in Random Forests
2009 · Simon Bernard, Laurent Heutte, et al. · 143
Getting the Most Out of Ensemble Selection
2006 · Rich Caruana, Art Munson, et al. · Proceedings · 143
That Elusive Diversity in Classifier Ensembles
2003 · Ludmila I. Kuncheva · Lecture notes in computer science · 135
Mapping the Potential Energy Landscape of Intrinsically Disordered Proteins at Amino Acid Resolution
2012 · Valéry Ozenne, Robert Schneider, et al. · Journal of the American Chemical Society · 132
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Genetic algorithm based selective neural network ensemble
2001 · Zhi‐Hua Zhou, Jianxin Wu, et al. · 127
Evolutionary multi-objective generation of recurrent neural network ensembles for time series prediction
2014 · Christopher Smith, Yaochu Jin · Neurocomputing · 119
Multi-Net Systems
1999 · Amanda J. C. Sharkey · Perspectives in neural computing · 117
Reusing Genetic Programming for Ensemble Selection in Classification of Unbalanced Data
2014 · Urvesh Bhowan, Mark Johnston, et al. · IEEE Transactions on Evolutionary Computation · 111
Dynamic Ensemble Selection for Imbalanced Data Streams With Concept Drift
2022 · Botao Jiao, Yinan Guo, et al. · IEEE Transactions on Neural Networks and Learning Systems · 105
Towards a robust description of intrinsic protein disorder using nuclear magnetic resonance spectroscopy
2011 · Robert Schneider, Jie-rong Huang, et al. · Molecular BioSystems · 105
The power of ensemble learning in sentiment analysis
2021 · Jacqueline Kazmaier, Jan H. van Vuuren · Expert Systems with Applications · 96
Ensemble of optimal trees, random forest and random projection ensemble classification
2019 · Zardad Khan, Asma Gul, et al. · Advances in Data Analysis and Classification · 96
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Bagging-based spectral clustering ensemble selection
2011 · Jianhua Jia, Xuan Xiao, et al. · Pattern Recognition Letters · 94
Novel multimodal problems and differential evolution with ensemble of restricted tournament selection
2010 · Bo-Yang Qu, Ponnuthurai Nagaratnam Suganthan · IEEE Congress on Evolutionary Computation (CEC) · 93
The “Test and Select” Approach to Ensemble Combination
2000 · Amanda J. C. Sharkey, Noel E. Sharkey, et al. · Lecture notes in computer science · 93
Clustering ensemble selection considering quality and diversity
2018 · Sadr-olah Abbasi, Samad Nejatian, et al. · Artificial Intelligence Review · 92
Using diversity of errors for selecting members of a committee classifier
2006 · Matti Aksela, Jorma Laaksonen · Pattern Recognition · 91
Works count: 597
Citation count: 9,973
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