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Publication search results
found 29 matches
- 2024
- Saúl Solorio-Fernández, Jesús Ariel Carrasco-Ochoa, José Fco. Martínez-Trinidad:
Filter unsupervised spectral feature selection method for mixed data based on a new feature correlation measure. Neurocomputing 571: 127111 (2024) - Fei Han, Fanyu Li, Qinghua Ling, Henry Han, Tianyi Lu, Zijian Jiao, Haonan Zhang:
A Feature Selection Method Based on Feature-Label Correlation Information and Self-Adaptive MOPSO. Neural Process. Lett. 56(2): 110 (2024) - Baiyou Qiao, Jiaqi Wu, Rui Wang, Yuanqing Hao, Peirui Wang, Donghong Han, Gang Wu:
A parallel feature selection method based on NMI-XGBoost and distance correlation for typhoon trajectory prediction. J. Supercomput. 80(8): 11293-11321 (2024) - 2023
- Serkan Akogul:
A Novel Approach to Increase the Efficiency of Filter-Based Feature Selection Methods in High-Dimensional Datasets With Strong Correlation Structure. IEEE Access 11: 115025-115032 (2023) - Xuanyu Huan, Jianpeng Zhao, Guolin Chen, Xianchao Li, Yunhe Cui, Hongzhen Yang:
Towards Feature Selection for Detecting LDDoS in SD-IoT of Smart Grids: A Multi-correlation Information EA-based Method. ISCAI 2023: 60-66 - 2022
- Zaineb Sakhrawi, Asma Sellami, Nadia Bouassida:
Software enhancement effort estimation using correlation-based feature selection and stacking ensemble method. Clust. Comput. 25(4): 2779-2792 (2022) - Utku Kaya, Mehmet Fidan:
Parametric and nonparametric correlation ranking based supervised feature selection methods for skin segmentation. J. Ambient Intell. Humaniz. Comput. 13(2): 821-833 (2022) - Weidong Xie, Wei Li, Yushan Fang, Yuhuan Chi, Kun Yu:
A Hybrid Feature Selection Method Based on Binary Differential Evolution and Feature Subset Correlation for Microarray Data*. BIBM 2022: 3193-3200 - 2021
- Tanvir Ferdousi, Lee W. Cohnstaedt, Caterina M. Scoglio:
A Windowed Correlation-Based Feature Selection Method to Improve Time Series Prediction of Dengue Fever Cases. IEEE Access 9: 141210-141222 (2021) - Ping Qiu, Zhendong Niu:
TCIC_FS: Total correlation information coefficient-based feature selection method for high-dimensional data. Knowl. Based Syst. 231: 107418 (2021) - Tanvir Ferdousi, Lee W. Cohnstaedt, Caterina M. Scoglio:
A windowed correlation based feature selection method to improve time series prediction of dengue fever cases. CoRR abs/2104.10289 (2021) - 2020
- Muhammad Attique Khan, Muhammad Ikram Ullah Lali, Muhammad Sharif, Kashif Javed, Khursheed Aurangzeb, Syed Irtaza Haider, Abdulaziz S. Altamrah, Tallha Akram:
Correction to "An Optimized Method for Segmentation and Classification of Apple Diseases Based on Strong Correlation and Genetic Algorithm Based Feature Selection". IEEE Access 8: 36514 (2020) - Athina Tsanousa, Georgios Meditskos, Stefanos Vrochidis, Lefteris Angelis:
A novel feature selection method based on comparison of correlations for human activity recognition problems. J. Ambient Intell. Humaniz. Comput. 11(12): 5961-5975 (2020) - Xiujuan Wang, Yixuan Yan, Xiaoyue Ma:
Feature Selection Method Based on Differential Correlation Information Entropy. Neural Process. Lett. 52(2): 1339-1358 (2020) - Zaineb Sakhrawi, Asma Sellami, Nadia Bouassida:
Investigating the Impact of Functional Size Measurement on Predicting Software Enhancement Effort Using Correlation-Based Feature Selection Algorithm and SVR Method. ICSR 2020: 229-244 - Yuanyuan Tao, Jun Li, Jianhua Xu:
Multi-label Feature Selection Method via Maximizing Correlation-based Criterion with Mutation Binary Bat Algorithm. IJCNN 2020: 1-8 - 2019
- Muhammad Attique Khan, Muhammad Ikram Ullah Lali, Muhammad Sharif, Kashif Javed, Khursheed Aurangzeb, Syed Irtaza Haider, Abdulaziz S. Altamrah, Tallha Akram:
An Optimized Method for Segmentation and Classification of Apple Diseases Based on Strong Correlation and Genetic Algorithm Based Feature Selection. IEEE Access 7: 46261-46277 (2019) - V. R. Elgin Christo, H. Khanna Nehemiah, B. Minu, Arputharaj Kannan:
Correlation-Based Ensemble Feature Selection Using Bioinspired Algorithms and Classification Using Backpropagation Neural Network. Comput. Math. Methods Medicine 2019: 7398307:1-7398307:17 (2019) - Rania Saidi, Waad Bouaguel, Nadia Essoussi:
Hybrid Feature Selection Method Based on the Genetic Algorithm and Pearson Correlation Coefficient. Machine Learning Paradigms 2019: 3-24 - 2018
- Huaijun Wang, Ruomeng Ke, Junhuai Li, Yang An, Kan Wang, Lei Yu:
A correlation-based binary particle swarm optimization method for feature selection in human activity recognition. Int. J. Distributed Sens. Networks 14(4) (2018) - Wenqiang Zhang, Xiaorun Li, Liaoying Zhao:
A Fast Hyperspectral Feature Selection Method Based on Band Correlation Analysis. IEEE Geosci. Remote. Sens. Lett. 15(11): 1750-1754 (2018) - 2017
- Milos Savic, Vladimir Kurbalija, Mirjana Ivanovic, Zoran Bosnic:
A Feature Selection Method Based on Feature Correlation Networks. MEDI 2017: 248-261 - 2016
- Soheila Barchinezhad, Mahdi Eftekhari:
Unsupervised feature selection method based on sensitivity and correlation concepts for multiclass problems. J. Intell. Fuzzy Syst. 30(5): 2883-2895 (2016) - 2014
- Antonio J. Tallón-Ballesteros, José C. Riquelme:
Tackling Ant Colony Optimization Meta-Heuristic as Search Method in Feature Subset Selection Based on Correlation or Consistency Measures. IDEAL 2014: 386-393 - Yu Chen, Fei Ren, Xiaohua Wan, Xuan Wang, Fa Zhang:
An Improved Correlation Method Based on Rotation Invariant Feature for Automatic Particle Selection. ISBRA 2014: 114-125 - 2012
- Cemal Okan Sakar, Olcay Kursun, Fikret Gürgen:
A feature selection method based on kernel canonical correlation analysis and the minimum Redundancy-Maximum Relevance filter method. Expert Syst. Appl. 39(3): 3432-3437 (2012) - Suwimol Jungjit, Alex Alves Freitas, Martin Michaelis, Jindrich Cinatl:
A Multi-Label Correlation-Based Feature Selection Method for the Classification of Neuroblastoma Microarray Data. ICDM (Workshops) 2012: 149-157 - 2010
- Krzysztof Michalak, Halina Kwasnicka:
Correlation based feature selection method. Int. J. Bio Inspired Comput. 2(5): 319-332 (2010) - Cemal Okan Sakar, Olcay Kursun:
A Hybrid Method for Feature Selection Based on Mutual Information and Canonical Correlation Analysis. ICPR 2010: 4360-4363
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