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Hosein Alizadeh
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2020 – today
- 2020
- [j11]Chenyue Zhao, Hosein Alizadeh, Behrouz Minaei, Majid Mohamadpoor, Hamid Parvin, Mohammad Reza Mahmoudi:
Social Network Optimization for Cluster Ensemble Selection. Fundam. Informaticae 176(1): 79-102 (2020)
2010 – 2019
- 2016
- [j10]Ali Reihanian, Behrouz Minaei-Bidgoli, Hosein Alizadeh:
Topic-oriented community detection of rating-based social networks. J. King Saud Univ. Comput. Inf. Sci. 28(3): 303-310 (2016) - [i1]Hosein Alizadeh, Muhammad Yousefnezhad, Behrouz Minaei-Bidgoli:
Wisdom of Crowds cluster ensemble. CoRR abs/1605.04074 (2016) - 2015
- [j9]Ebrahim Akbari, Halina Mohamed Dahlan, Roliana Ibrahim, Hosein Alizadeh:
Hierarchical cluster ensemble selection. Eng. Appl. Artif. Intell. 39: 146-156 (2015) - [j8]Hosein Alizadeh, Muhammad Yousefnezhad, Behrouz Minaei-Bidgoli:
Wisdom of Crowds cluster ensemble. Intell. Data Anal. 19(3): 485-503 (2015) - [c16]Mohadeseh Ganji, Abbas Seifi, Hosein Alizadeh, James Bailey, Peter J. Stuckey:
Generalized Modularity for Community Detection. ECML/PKDD (2) 2015: 655-670 - 2014
- [j7]Behrouz Minaei-Bidgoli, Hamid Parvin, Hamid Alinejad-Rokny, Hosein Alizadeh, William F. Punch:
Effects of resampling method and adaptation on clustering ensemble efficacy. Artif. Intell. Rev. 41(1): 27-48 (2014) - [j6]Hosein Alizadeh, Behrouz Minaei-Bidgoli, Hamid Parvin:
Cluster ensemble selection based on a new cluster stability measure. Intell. Data Anal. 18(3): 389-408 (2014) - [j5]Hosein Alizadeh, Behrouz Minaei-Bidgoli, Hamid Parvin:
To improve the quality of cluster ensembles by selecting a subset of base clusters. J. Exp. Theor. Artif. Intell. 26(1): 127-150 (2014) - 2013
- [j4]Hosein Alizadeh, Behrouz Minaei-Bidgoli, Hamid Parvin:
Optimizing Fuzzy Cluster Ensemble in String Representation. Int. J. Pattern Recognit. Artif. Intell. 27(2) (2013) - 2012
- [c15]Hosein Alizadeh, Hamid Parvin, Sajad Parvin, Zahra Rezaei, Moslem Mohamadi:
A Max Metric to Evaluate a Cluster. HAIS (1) 2012: 255-266 - [c14]Hamid Parvin, Hosein Alizadeh, Sajad Parvin, Behzad Maleki:
A Heuristic Diversity Production Approach. ICCSA (3) 2012: 647-656 - 2011
- [c13]Hamid Parvin, Behrouz Minaei, Hosein Alizadeh:
A Heuristic Classifier Ensemble for Huge Datasets. AMT 2011: 29-38 - [c12]Hosein Alizadeh, Behrouz Minaei-Bidgoli, Hamid Parvin:
A New Asymmetric Criterion for Cluster Validation. CIARP 2011: 320-330 - [c11]Hamid Parvin, Behrouz Minaei, Hosein Alizadeh:
A New Adaptive Framework for Classifier Ensemble in Multiclass Large Data. ICCSA (1) 2011: 526-536 - [c10]Hamid Parvin, Behrouz Minaei-Bidgoli, Hosein Alizadeh:
Iranian Cancer Patient Detection Using a New Method for Learning at Imbalanced Datasets. IDEAL 2011: 299-306 - [c9]Hosein Alizadeh, Behrouz Minaei, Hamid Parvin:
A New Criterion for Clusters Validation. EANN/AIAI (2) 2011: 110-115 - [c8]Hamid Parvin, Behrouz Minaei, Hosein Alizadeh, Akram Beigi:
A Novel Classifier Ensemble Method Based on Class Weightening in Huge Dataset. ISNN (2) 2011: 144-150 - [c7]Hamid Parvin, Behrouz Minaei-Bidgoli, Hosein Alizadeh:
A New Clustering Algorithm with the Convergence Proof. KES (1) 2011: 21-31 - [c6]Hamid Parvin, Behrouz Minaei-Bidgoli, Hosein Alizadeh:
Detection of Cancer Patients Using an Innovative Method for Learning at Imbalanced Datasets. RSKT 2011: 376-381
2000 – 2009
- 2009
- [j3]Hosein Alizadeh, Behrouz Minaei-Bidgoli, Saeed K. Amirgholipour:
A New Method for Improving the Performance of K Nearest Neighbor using Clustering Technique. J. Convergence Inf. Technol. 4(2): 84-92 (2009) - [j2]Hamid Parvin, Hosein Alizadeh, Behrouz Minaei-Bidgoli:
Using Clustering for Generating Diversity in Classifier Ensemble. J. Digit. Content Technol. its Appl. 3(1): 51-57 (2009) - [j1]Hamid Parvin, Hosein Alizadeh, Behrouz Minaei-Bidgoli:
A New Method for Constructing Classifier Ensembles. J. Digit. Content Technol. its Appl. 3(2): 62-66 (2009) - 2008
- [c5]Hamid Parvin, Hosein Alizadeh, Mahmood Fathy, Behrouz Minaei-Bidgoli:
Improved Face Detection Using Spatial Histogram Features. IPCV 2008: 381-386 - [c4]Hamid Parvin, Hosein Alizadeh, Behrouz Minaei-Bidgoli:
A New Approach to Improve the Vote-Based Classifier Selection. NCM (2) 2008: 91-95 - [c3]Hamid Parvin, Hosein Alizadeh, Behrouz Minaei-Bidgoli, Morteza Analoui:
A Scalable Method for Improving the Performance of Classifiers in Multiclass Applications by Pairwise Classifiers and GA. NCM (2) 2008: 137-142 - [c2]Hamid Parvin, Hosein Alizadeh, Behrouz Minaei-Bidgoli, Morteza Analoui:
CCHR: Combination of Classifiers Using Heuristic Retraining. NCM (2) 2008: 302-305 - [c1]Hosein Alizadeh, Hamid Parvin, Behrouz Minaei-Bidgoli, Nasser Mozayani:
CSMD: Centralized Surface Matching Degree, a New Approach for Determining Matching Degree in Fuzzy Systems. NCM (2) 2008: 339-344
Coauthor Index
aka: Behrouz Minaei
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