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Articles

Robust Feature Selection Technique Using Rank Aggregation

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Mert Demirarslan & Aslı Suner. (2022) OCtS: an alternative of the t-Score method sensitive to outliers and correlation in feature selection. Communications in Statistics - Simulation and Computation 0:0, pages 1-14.
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Sina Akbari & Adolfo R. Escobedo. (2023) Beyond kemeny rank aggregation: A parameterizable-penalty framework for robust ranking aggregation with ties. Omega 119, pages 102893.
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Guanghua Fu, Bencheng Li, Yongsheng Yang & Chaofeng Li. (2023) Re-ranking and TOPSIS-based ensemble feature selection with multi-stage aggregation for text categorization. Pattern Recognition Letters 168, pages 47-56.
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Nashat Alrefai, Othman Ibrahim, Hafiz Muhammad Faisal Shehzad, Abdelrahman Altigani, Waheeb Abu-ulbeh, Malek Alzaqebah & Mutasem K. Alsmadi. (2022) An integrated framework based deep learning for cancer classification using microarray datasets. Journal of Ambient Intelligence and Humanized Computing 14:3, pages 2249-2260.
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Petros Paplomatas, Marios G. Krokidis, Panagiotis Vlamos & Aristidis G. Vrahatis. (2023) An Ensemble Feature Selection Approach for Analysis and Modeling of Transcriptome Data in Alzheimer’s Disease. Applied Sciences 13:4, pages 2353.
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Yuxin Liu, Zhice Gong, Keyu Liu, Suping Xu, Hengrong Ju & Xibei Yang. (2022) A Q-learning approach to attribute reduction. Applied Intelligence 53:4, pages 3750-3765.
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Roberto Bertolini & Stephen J. Finch. (2022) Stability of filter feature selection methods in data pipelines: a simulation study. International Journal of Data Science and Analytics.
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Nasrin Banu Nazar & Radha Senthilkumar. (2022) Feature Selection Using Games with Imperfect Information (FSGIN). International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 30:06, pages 1019-1033.
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Yining Chen, Pingxin Wang, Xibei Yang & Hualong Yu. (2022) Bee: towards a robust attribute reduction. International Journal of Machine Learning and Cybernetics 13:12, pages 3927-3962.
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Rubul Kumar Bania. (2022) R-GEFS: Condorcet Rank Aggregation with Graph Theoretic Ensemble Feature Selection Algorithm for Classification. International Journal of Pattern Recognition and Artificial Intelligence 36:09.
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Sandeep Bodda & Shyam Diwakar. (2022) Exploring EEG spectral and temporal dynamics underlying a hand grasp movement. PLOS ONE 17:6, pages e0270366.
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Jin Wang, Yuxin Liu, Jianjun Chen & Xibei Yang. (2022) An Ensemble Framework to Forest Optimization Based Reduct Searching. Symmetry 14:6, pages 1277.
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Sudarshan S. Sonawane & Satish R. Kolhe. 2022. Research Anthology on Implementing Sentiment Analysis Across Multiple Disciplines. Research Anthology on Implementing Sentiment Analysis Across Multiple Disciplines 496 518 .
Sina Akbari & Adolfo R. Escobedo. (2021) Lower Bounds on Kemeny Rank Aggregation with Non-Strict Rankings. Lower Bounds on Kemeny Rank Aggregation with Non-Strict Rankings.
S. Krishnaveni, S. Sivamohan, S. S. Sridhar & S. Prabakaran. (2021) Efficient feature selection and classification through ensemble method for network intrusion detection on cloud computing. Cluster Computing 24:3, pages 1761-1779.
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Xun Wang, Pingxin Wang, Xibei Yang & Yiyu Yao. (2021) Attribution reduction based on sequential three-way search of granularity. International Journal of Machine Learning and Cybernetics 12:5, pages 1439-1458.
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Paula I. Metselaar, Lucero Mendoza-Maldonado, Andrew Yung Fong Li Yim, Ilias Abarkan, Peter Henneman, Anje A. te Velde, Alexander Schönhuth, Jos A. Bosch, Aletta D. Kraneveld & Alejandro Lopez-Rincon. (2021) Recursive ensemble feature selection provides a robust mRNA expression signature for myalgic encephalomyelitis/chronic fatigue syndrome. Scientific Reports 11:1.
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Jing Tang, Yunxia Wang, Jianbo Fu, Ying Zhou, Yongchao Luo, Ying Zhang, Bo Li, Qingxia Yang, Weiwei Xue, Yan Lou, Yunqing Qiu & Feng Zhu. (2020) A critical assessment of the feature selection methods used for biomarker discovery in current metaproteomics studies. Briefings in Bioinformatics 21:4, pages 1378-1390.
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Verónica Bolón-Canedo & Amparo Alonso-Betanzos. (2019) Ensembles for feature selection: A review and future trends. Information Fusion 52, pages 1-12.
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Sudarshan S. Sonawane & Satish R. Kolhe. (2019) Feature Optimization in Sentiment Analysis by Term Co-occurrence Fitness Evolution (TCFE). International Journal of Information Technology and Web Engineering 14:3, pages 16-36.
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Changqin Huang, Jia Zhu, Yuzhi Liang, Min Yang, Gabriel Pui Cheong Fung & Junyu Luo. (2018) An efficient automatic multiple objectives optimization feature selection strategy for internet text classification. International Journal of Machine Learning and Cybernetics 10:5, pages 1151-1163.
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Zahra Mungloo-Dilmohamud, Gary Marigliano, Yasmina Jaufeerally-Fakim & Carlos Pena-Reyes. (2018) A Comparative Study of Feature Selection Methods for Biomarker Discovery. A Comparative Study of Feature Selection Methods for Biomarker Discovery.
Xibei Yang & Yiyu Yao. (2018) Ensemble selector for attribute reduction. Applied Soft Computing 70, pages 1-11.
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Maqbool Ali, Syed Imran Ali, Dohyeong Kim, Taeho Hur, Jaehun Bang, Sungyoung Lee, Byeong Ho Kang & Maqbool Hussain. (2018) uEFS: An efficient and comprehensive ensemble-based feature selection methodology to select informative features. PLOS ONE 13:8, pages e0202705.
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Bikesh Kumar Singh & Satya Eswari Jujjavarapu. 2018. Design and Development of Affordable Healthcare Technologies. Design and Development of Affordable Healthcare Technologies 318 337 .
Sai Prasad Potharaju & M. Sreedevi. (2018) A Novel Subset Feature Selection Framework for Increasing the Classification Performance of SONAR Targets. Procedia Computer Science 125, pages 902-909.
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Bikesh Kumar Singh, Kesari Verma, Lipismita Panigrahi & A.S. Thoke. (2017) Integrating radiologist feedback with computer aided diagnostic systems for breast cancer risk prediction in ultrasonic images: An experimental investigation in machine learning paradigm. Expert Systems with Applications 90, pages 209-223.
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Atanu Roy, Ayush Singhal & Jaideep Srivastava. (2017) Formation and Reciprocation of Dyadic Trust. ACM Transactions on Internet Technology 17:2, pages 1-24.
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Aytuğ Onan & Serdar Korukoğlu. (2016) A feature selection model based on genetic rank aggregation for text sentiment classification. Journal of Information Science 43:1, pages 25-38.
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Nasrin Banu NAZAR & Radha SENTHILKUMAR. (2017) An online approach for feature selection for classification in big data. TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES 25, pages 163-171.
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Juan A. Aledo, Jose A. Ga, David Molina & Alejandro Rosete. (2016) FSS-OBOP: Feature subset selection guided by a bucket order consensus ranking. FSS-OBOP: Feature subset selection guided by a bucket order consensus ranking.
Juan A. Aledo, Jose A. Gámez & David Molina. (2016) Using extension sets to aggregate partial rankings in a flexible setting. Applied Mathematics and Computation 290, pages 208-223.
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Maunendra Sankar Desarkar, Sudeshna Sarkar & Pabitra Mitra. (2016) Preference relations based unsupervised rank aggregation for metasearch. Expert Systems with Applications 49, pages 86-98.
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Panagiotis Bountris, Charalampos Tsirmpas, Maria Haritou, Abraham Pouliakis, Ioannis Kouris, Petros Karakitsos & Dimitrios Koutsouris. (2015) An ensemble feature ranking framework for the assessment of the efficacy of cervical cancer detection tests and human papillomavirus genotypes in the detection of high-grade cervical intraepithelial neoplasia and cervical carcinoma. An ensemble feature ranking framework for the assessment of the efficacy of cervical cancer detection tests and human papillomavirus genotypes in the detection of high-grade cervical intraepithelial neoplasia and cervical carcinoma.

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