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Journal of Experimental & Theoretical Artificial Intelligence Volume 25, 2013 - Issue 2
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Original Articles

A new classifier ensemble methodology based on subspace learning

Hamid Parvin Department of Computer Engineering, Nourabad Mamasani Branch, Islamic Azad University, Nourabad Mamasani, Iran
,
Hamid Alinejad-Rokny School of Electrical Engineering and Computer Science, Faculty of Engineering and Built Environment, Department of Computer Science, University of Newcastle, Callaghan, NSW, Australia; Centre for Bioinformatics, Biomarker Discovery and Information-Based Medicine, University of Newcastle, Callaghan, NSW, AustraliaCorrespondence[email protected] [email protected]
,
Behrouz Minaei-Bidgoli School of Computer Engineering, Iran University of Science and Technology (IUST), Tehran, Iran
&
Sajad Parvin Department of Computer Engineering, Nourabad Mamasani Branch, Islamic Azad University, Nourabad Mamasani, Iran
Pages 227-250 | Received 17 Sep 2011, Accepted 06 May 2012, Published online: 22 Oct 2012

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Chilankamol Sunny & Shibu Kumar K. B. (2023) Refined PSO Clustering for Not Well-Separated Data. Journal of Experimental & Theoretical Artificial Intelligence 35:6, pages 831-847.
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R. Ganeshan & S. Paul Rodrigues. (2018) I-AHSDT: intrusion detection using adaptive dynamic directive operative fractional lion clustering and hyperbolic secant-based decision tree classifier. Journal of Experimental & Theoretical Artificial Intelligence 30:6, pages 887-910.
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Mahdieh Labani, Amin Beheshti, Ahmadreza Argha & Hamid Alinejad-Rokny. (2023) A Comprehensive Investigation of Genomic Variants in Prostate Cancer Reveals 30 Putative Regulatory Variants. International Journal of Molecular Sciences 24:3, pages 2472.
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Milad Moradi & Matthias Samwald. (2021) Post-hoc explanation of black-box classifiers using confident itemsets. Expert Systems with Applications 165, pages 113941.
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Mohammad Reza Mahmoudi, Hamidreza Akbarzadeh, Hamid Parvin, Samad Nejatian, Vahideh Rezaie & Hamid Alinejad-Rokny. (2020) Consensus function based on cluster-wise two level clustering. Artificial Intelligence Review 54:1, pages 639-665.
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Antonio J. García, Matías Toril, Pablo Oliver, Salvador Luna-Ramírez & Manuel Ortiz. (2020) Automatic alarm prioritization by data mining for fault management in cellular networks. Expert Systems with Applications 158, pages 113526.
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Hadi Mahdipour Hossein-Abad, Mohsen Shabanian & Iman Abaspur Kazerouni. (2020) Vectorized Kernel-Based Fuzzy C-Means: a Method to Apply KFCM on Crisp and Non-Crisp Numbers. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 28:04, pages 635-659.
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Guang Li, Mohammad Reza Mahmoudi, Sultan Noman Qasem, Bui Anh Tuan & Kim-Hung Pho. (2020) Cluster ensemble of valid small clusters. Journal of Intelligent & Fuzzy Systems 39:1, pages 525-542.
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Radhwane Gherbaoui, Mohammed Ouali & Nacéra Benamrane. (2020) Estimating and Controlling Overlap in Gaussian Mixtures for Clustering Methods Evaluation. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 28:02, pages 183-211.
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Fatemeh Najafi, Hamid Parvin, Kamal Mirzaie, Samad Nejatian & Vahideh Rezaie. (2020) Dependability‐based cluster weighting in clustering ensemble. Statistical Analysis and Data Mining: The ASA Data Science Journal 13:2, pages 151-164.
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Hao Wang, Yijie Ding, Jijun Tang & Fei Guo. (2020) Identification of membrane protein types via multivariate information fusion with Hilbert–Schmidt Independence Criterion. Neurocomputing 383, pages 257-269.
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Yihang Feng, Bin Hu & Changying Ke. (2019) The influence of franchisee loss on logistics network: A new perspective from NK model. Swarm and Evolutionary Computation 51, pages 100595.
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Ahmed Ragab, Mohamed El Koujok, Hakim Ghezzaz, Mouloud Amazouz, Mohamed-Salah Ouali & Soumaya Yacout. (2019) Deep understanding in industrial processes by complementing human expertise with interpretable patterns of machine learning. Expert Systems with Applications 122, pages 388-405.
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Kanak Meena, Devendra K. Tayal, Vaidehi Gupta & Aiman Fatima. (2019) Using classification techniques for statistical analysis of Anemia. Artificial Intelligence in Medicine 94, pages 138-152.
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Musa Mojarad, Hamid Parvin, Samad Nejatian & Vahideh Rezaie. (2019) Consensus Function Based on Clusters Clustering and Iterative Fusion of Base Clusters. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 27:01, pages 97-120.
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Ahmad Nazari, Ayob Dehghan, Samad Nejatian, Vahideh Rezaie & Hamid Parvin. (2017) A comprehensive study of clustering ensemble weighting based on cluster quality and diversity. Pattern Analysis and Applications 22:1, pages 133-145.
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Muhammad Zohaib Jan & Brijesh Verma. (2019) A Novel Diversity Measure and Classifier Selection Approach for Generating Ensemble Classifiers. IEEE Access 7, pages 156360-156373.
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Qi-Hai Zhu & Yu-Bin Yang. (2018) Subspace clustering via seeking neighbors with minimum reconstruction error. Pattern Recognition Letters 115, pages 66-73.
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Mohammad Ali Arasteh, Shahaboddin Shamshirband & Por Lip Yee. (2018) Using multi-attribute decision-making approaches in the selection of a hospital management system. Technology and Health Care 26:2, pages 279-295.
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Samad Nejatian, Hamid Parvin & Eshagh Faraji. (2018) Using sub-sampling and ensemble clustering techniques to improve performance of imbalanced classification. Neurocomputing 276, pages 55-66.
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Ghodratolah Dastfal, Samad Nejatian, Hamid Parvin & Vahideh Rezaie. 2018. Advances in Soft Computing. Advances in Soft Computing 54 66 .
Seyedeh Foroozan Rashidi, Hamid Parvin & Samad Nejatian. 2017. Advances in Computational Intelligence. Advances in Computational Intelligence 281 289 .
Elias Dasturian, Hamid Parvin & Samad Nejatian. 2017. Advances in Soft Computing. Advances in Soft Computing 437 446 .
Mostafa Zarei, Hamid Parvin & Marzieh Dadvar. 2017. Advances in Soft Computing. Advances in Soft Computing 331 340 .
Mohammad Shakeri & Marzieh Dadvar. (2016) A Modified-ABC: An Explicit-Memory Based Approach with a New Memory Updating and Retrieval in Dynamic Environments. A Modified-ABC: An Explicit-Memory Based Approach with a New Memory Updating and Retrieval in Dynamic Environments.
Mehdi Sadeghi-Moghadam, Hamideh Haghparast & Seyed Abdolhamed Hoseinpour. (2016) A Study on Pattern-Based Spectral Clustering Methods in DWN. A Study on Pattern-Based Spectral Clustering Methods in DWN.
Hamid Parvin & Behrouz Minaei-Bidgoli. (2014) A clustering ensemble framework based on selection of fuzzy weighted clusters in a locally adaptive clustering algorithm. Pattern Analysis and Applications 18:1, pages 87-112.
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Hamid Parvin, Miresmaeil MirnabiBaboli & Hamid Alinejad-Rokny. (2015) Proposing a classifier ensemble framework based on classifier selection and decision tree. Engineering Applications of Artificial Intelligence 37, pages 34-42.
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Hamid Parvin & Behrouz Minaei-Bidgoli. (2013) A clustering ensemble framework based on elite selection of weighted clusters. Advances in Data Analysis and Classification 7:2, pages 181-208.
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