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Keyword

meta-features

Description: Higher-level characteristics of datasets, tasks, or models used in machine learning to guide algorithm selection, prediction, or analysis.
OpenAlex ID: keywords/meta-features
Cross-domain video concept detection using adaptive svms
2007 · Jun Yang, Rong Yan, et al. · ACM International Conference on Multimedia (ACM MM) · 673
Visual saliency estimation by nonlinearly integrating features using region covariances
2013 · E. Erdem, A. Erdem · Journal of Vision · 396
PMLB: a large benchmark suite for machine learning evaluation and comparison
2017 · Randal S. Olson, William La Cava, et al. · BioData Mining · 371
A novel improved model for building energy consumption prediction based on model integration
2020 · Ran Wang, Shilei Lu, et al. · Applied Energy · 262
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META-DES: A dynamic ensemble selection framework using meta-learning
2014 · Rafael M.O. Cruz, Robert Sabourin, et al. · Pattern Recognition · 252
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Temporal profiles of queries
2007 · Rosie Jones, Fernando Diaz · ACM Transactions on Information Systems · 202
Feature-Weighted Linear Stacking
2009 · Sill, Joseph, Takacs, Gabor, et al. · arXiv (Cornell University) · 178
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Auto-Sklearn 2.0: Hands-free AutoML via Meta-Learning
2020 · Feurer, Matthias, Eggensperger, Katharina, et al. · arXiv (Cornell University) · 176
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Learning a meta-level prior for feature relevance from multiple related tasks
2007 · Su-In Lee, Vassil Chatalbashev, et al. · International Conference on Machine Learning · 166
A domain transferable lexicon set for Twitter sentiment analysis using a supervised machine learning approach
2018 · M. Ghiassi, S. Lee · Expert Systems with Applications · 141
Automatic classifier selection for non-experts
2012 · Matthias Reif, Faisal Shafait, et al. · Pattern Analysis and Applications · 138
Trusted detection of ransomware in a private cloud using machine learning methods leveraging meta-features from volatile memory
2018 · Aviad Cohen, Nir Nissim · Expert Systems with Applications · 131
Meta-features for meta-learning
2022 · Adriano Rivolli, Luís P.F. Garcia, et al. · Knowledge-Based Systems · 110
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A Literature Survey and Empirical Study of Meta-Learning for Classifier Selection
2020 · Irfan Khan, Xianchao Zhang, et al. · IEEE Access · 108
Short-term building energy model recommendation system: A meta-learning approach
2016 · Can Cui, Teresa Wu, et al. · Applied Energy · 107
Meta-ADD: A meta-learning based pre-trained model for concept drift active detection
2022 · Hang Yu, Qingyong Zhang, et al. · Information Sciences · 101
ALDOCX: Detection of Unknown Malicious Microsoft Office Documents Using Designated Active Learning Methods Based on New Structural Feature Extraction Methodology
2016 · Nir Nissim, Aviad Cohen, et al. · IEEE Transactions on Information Forensics and Security · 101
Unsupervised machine learning of radiomic features for predicting treatment response and overall survival of early stage non-small cell lung cancer patients treated with stereotactic body radiation therapy
2018 · Hongming Li, Maya Galperin-Aizenberg, et al. · Radiotherapy and Oncology · 98
Meta-data: Characterization of Input Features for Meta-learning
2005 · Ciro Castiello, Giovanna Castellano, et al. · Lecture notes in computer science · 97
Transfer Learning across Feature-Rich Heterogeneous Feature Spaces via Feature-Space Remapping (FSR)
2015 · Kyle D. Feuz, Diane J. Cook · ACM Transactions on Intelligent Systems and Technology · 94
META-DES.Oracle: Meta-learning and feature selection for dynamic ensemble selection
2017 · Rafael M.O. Cruz, Robert Sabourin, et al. · Information Fusion · 90
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A meta-learning recommender system for hyperparameter tuning: Predicting when tuning improves SVM classifiers
2019 · Rafael G. Mantovani, André L.D. Rossi, et al. · Information Sciences · 89
On the evaluation and combination of state-of-the-art features in Twitter sentiment analysis
2020 · Jonnathan Carvalho, Alexandre Plastino · Artificial Intelligence Review · 87
Detecting Anomalies in Time Series Data via a Meta-Feature Based Approach
2018 · Min Hu, Zhiwei Ji, et al. · IEEE Access · 86
Multivariate Protein Signatures of Pre-Clinical Alzheimer's Disease in the Alzheimer's Disease Neuroimaging Initiative (ADNI) Plasma Proteome Dataset
2012 · Daniel Johnstone, Elizabeth A. Milward, et al. · PLoS ONE · 82
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Works count: 844
Citation count: 9,867
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