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2020 – today
- 2024
[j63]Payam Bahrani, Behrouz Minaei-Bidgoli, Hamid Parvin, Mitra Mirzarezaee
, Ahmad Keshavarz:
A hybrid semantic recommender system enriched with an imputation method. Multim. Tools Appl. 83(6): 15985-16018 (2024)- [j62]Farshad Gheytasi, S. Hadi Yaghoubyan, Zahra Rezaei, Karamollah Bagherifard, Hamid Parvin:
Spectral clustering based on extended deep ensemble auto encoder with eagle strategy. Multim. Tools Appl. 83(16): 47085-47109 (2024) - [j61]Payam Bahrani, Behrouz Minaei-Bidgoli, Hamid Parvin, Mitra Mirzarezaee, Ahmad Keshavarz:
A new improved KNN-based recommender system. J. Supercomput. 80(1): 800-834 (2024) - [j60]Seyed Jalalaldin Gharibi, Karamollah Bagherifard, Hamid Parvin, Samad Nejatian, S. Hadi Yaghoubyan:
Ontology-based recommender system: a deep learning approach. J. Supercomput. 80(9): 12102-12122 (2024) - [j59]Payam Bahrani, Behrouz Minaei-Bidgoli, Hamid Parvin, Mitra Mirzarezaee, Ahmad Keshavarz:
A hybrid semantic recommender system based on an improved clustering. J. Supercomput. 80(9): 13341-13385 (2024) - 2023
- [j58]Shima Pooyesh, Saghar Foshati, Malihe Sabeti, Hamid Parvin, Alireza Aminsharifi:
Predicting outcomes in kidney stone endoscopic surgery by rotation forest algorithm. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 11(4): 1397-1407 (2023) - [j57]Navid Samimi, Samad Nejatian, Hamid Parvin, Karamollah Bagherifard, Vahideh Rezaie:
Consensus fuzzy clustering by sequential quadratic programming approach. J. Intell. Fuzzy Syst. 44(2): 1847-1863 (2023) - [j56]Maryam Azimifar, Samad Nejatian, Hamid Parvin, Karamollah Bagherifard, Vahideh Rezaie:
A structure-protecting kernelized semi-supervised space adjustment for classification. J. Intell. Fuzzy Syst. 44(2): 3043-3057 (2023) - [j55]Mohsen Ghasemi, Karamollah Bagherifard, Hamid Parvin, Samad Nejatian:
Novel multi objective evolutionary framework for solving next release problem. J. Intell. Fuzzy Syst. 44(2): 3315-3339 (2023) - [j54]Alireza Dehghani, Karamolah Bagherifard, Samad Nejatian, Hamid Parvin:
A novel missing value imputation relying on K-means clustering and kernel-based weighting using grey relation (KWGI). J. Intell. Fuzzy Syst. 44(4): 5675-5697 (2023) - [j53]Ebrahim Khalili, Razieh Malekhosseini, S. Hadi Yaghoubyan, Karamollah Bagherifard, Hamid Parvin:
Sequential semi-supervised active learning model in extremely low training set (SSSAL). J. Supercomput. 79(6): 6646-6673 (2023) - 2021
- [j52]Mohammad Reza Mahmoudi, Hamidreza Akbarzadeh, Hamid Parvin, Samad Nejatian, Vahideh Rezaie, Hamid Alinejad-Rokny:
Consensus function based on cluster-wise two level clustering. Artif. Intell. Rev. 54(1): 639-665 (2021) - [j51]Mohsen Ghasemi, Karamollah Bagherifard, Hamid Parvin, Samad Nejatian, Kim-Hung Pho:
Multi-objective whale optimization algorithm and multi-objective grey wolf optimizer for solving next release problem with developing fairness and uncertainty quality indicators. Appl. Intell. 51(8): 5358-5387 (2021) - [j50]Ali Bagherinia, Behrooz Minaei-Bidgoli, Mehdi Hosseinzadeh, Hamid Parvin:
Reliability-based fuzzy clustering ensemble. Fuzzy Sets Syst. 413: 1-28 (2021) - [j49]Zhong Chen, Ali Bagherinia, Behrooz Minaei-Bidgoli, Hamid Parvin, Kim-Hung Pho:
Fuzzy Clustering Ensemble Considering Cluster Dependability. Int. J. Artif. Intell. Tools 30(2): 2150007:1-2150007:20 (2021) - [j48]Hao Fan, Kaijun Wu, Hamid Parvin, Akram Beigi, Kim-Hung Pho:
A Hybrid Recommender System Using KNN and Clustering. Int. J. Inf. Technol. Decis. Mak. 20(2): 553-596 (2021) - [j47]Shenghao Jiang, Saeed Mashdoor, Hamid Parvin, Bui Anh Tuan, Kim-Hung Pho:
An Adaptive Location-Aware Swarm Intelligence Optimization Algorithm. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 29(2): 249-279 (2021) - [j46]Weiqing Fu, Hamid Parvin, Mohammad Reza Mahmoudi, Bui Anh Tuan, Kim-Hung Pho:
A linear space adjustment by mapping data into an intermediate space and keeping low level data structures. J. Exp. Theor. Artif. Intell. 33(4): 637-657 (2021) - [j45]Kim-Hung Pho, Hamidreza Akbarzadeh, Hamid Parvin, Samad Nejatian, Hamid Alinejad-Rokny:
A multi-level consensus function clustering ensemble. Soft Comput. 25(21): 13147-13165 (2021) - [j44]Abdol-Karim Javanmardi, S. Hadi Yaghoubyan, Karamollah Bagherifard, Samad Nejatian, Hamid Parvin:
A unit-based, cost-efficient scheduler for heterogeneous Hadoop systems. J. Supercomput. 77(1): 1-22 (2021) - [j43]Abdol-Karim Javanmardi, S. Hadi Yaghoubyan, Karamolah Bagherifard, Samad Nejatian, Hamid Parvin:
An architecture for scheduling with the capability of minimum share to heterogeneous Hadoop systems. J. Supercomput. 77(6): 5289-5318 (2021) - [j42]Amin Rezaeipanah, Parvin Amiri, Hamed Nazari, Musa Mojarad, Hamid Parvin:
An Energy-Aware Hybrid Approach for Wireless Sensor Networks Using Re-clustering-Based Multi-hop Routing. Wirel. Pers. Commun. 120(4): 3293-3314 (2021) - 2020
- [j41]Huan Niu, Wei Xu, Hamidreza Akbarzadeh, Hamid Parvin, Amin Beheshti, Hamid Alinejad-Rokny:
Deep feature learnt by conventional deep neural network. Comput. Electr. Eng. 84: 106656 (2020) - [j40]Feng Qian, Mohammad Reza Mahmoudi, Hamid Parvin, Kim-Hung Pho, Bui Anh Tuan:
An Adaptive Particle Swarm Optimization Algorithm for Unconstrained Optimization. Complex. 2020: 2010545:1-2010545:18 (2020) - [j39]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) - [j38]Rogayye Khaleghnasab, Karamollah Bagherifard, Samad Nejatian, Hamid Parvin, Bahman Ravaei:
A New Energy-Efficient Multipath Routing in Internet of Things Based on Gray Theory. Int. J. Inf. Technol. Decis. Mak. 19(6): 1581-1617 (2020) - [j37]Mohammad Yasrebi, Vahid Rafe, Hamid Parvin, Samad Nejatian:
An efficient approach to state space management in model checking of complex software systems using machine learning techniques. J. Intell. Fuzzy Syst. 38(2): 1761-1773 (2020) - [j36]Payam Bahrani, Behrouz Minaei-Bidgoli, Hamid Parvin, Mitra Mirzarezaee, Ahmad Keshavarz, Hamid Alinejad-Rokny:
User and item profile expansion for dealing with cold start problem. J. Intell. Fuzzy Syst. 38(4): 4471-4483 (2020) - [j35]Pok Man Szeto, Hamid Parvin, Mohammad Reza Mahmoudi, Bui Anh Tuan, Kim-Hung Pho:
Deep neural network as deep feature learner. J. Intell. Fuzzy Syst. 39(1): 355-369 (2020) - [j34]Zecong Wang, Hamid Parvin, Sultan Noman Qasem, Bui Anh Tuan, Kim-Hung Pho:
Cluster ensemble selection using balanced normalized mutual information. J. Intell. Fuzzy Syst. 39(3): 3033-3055 (2020) - [j33]Shen Kejia, Hamid Parvin, Sultan Noman Qasem, Bui Anh Tuan, Kim-Hung Pho:
A classification model based on svm and fuzzy rough set for network intrusion detection. J. Intell. Fuzzy Syst. 39(5): 6801-6817 (2020) - [j32]Wei Xu, Hamid Parvin, Hadi Izadparast:
Deep Learning Neural Network for Unconventional Images Classification. Neural Process. Lett. 52(1): 169-185 (2020) - [j31]Fatemeh Najafi, Hamid Parvin, Kamal Mirzaie, Samad Nejatian, Vahideh Rezaie:
Dependability-based cluster weighting in clustering ensemble. Stat. Anal. Data Min. 13(2): 151-164 (2020) - [j30]Jaafar Partabian, Vahid Rafe, Hamid Parvin, Samad Nejatian:
An approach based on knowledge exploration for state space management in checking reachability of complex software systems. Soft Comput. 24(10): 7181-7196 (2020)
2010 – 2019
- 2019
- [j29]Sadrollah Abbasi, Samad Nejatian, Hamid Parvin, Vahideh Rezaie, Karamolah Bagherifard:
Clustering ensemble selection considering quality and diversity. Artif. Intell. Rev. 52(2): 1311-1340 (2019) - [j28]Frouzan Rashidi, Samad Nejatian, Hamid Parvin, Vahideh Rezaie:
Diversity based cluster weighting in cluster ensemble: an information theory approach. Artif. Intell. Rev. 52(2): 1341-1368 (2019) - [j27]Ali Bagherinia, Behrooz Minaei-Bidgoli, Mehdi Hossinzadeh, Hamid Parvin:
Elite fuzzy clustering ensemble based on clustering diversity and quality measures. Appl. Intell. 49(5): 1724-1747 (2019) - [j26]Musa Mojarad, Samad Nejatian, Hamid Parvin, Majid Mohammadpoor:
A fuzzy clustering ensemble based on cluster clustering and iterative Fusion of base clusters. Appl. Intell. 49(7): 2567-2581 (2019) - [j25]Musa Mojarad, Hamid Parvin, Samad Nejatian, Vahideh Rezaie:
Consensus Function Based on Clusters Clustering and Iterative Fusion of Base Clusters. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 27(1): 97-120 (2019) - [j24]Samad Nejatian, Vahideh Rezaie, Hamid Parvin, Mohamadamin Pirbonyeh, Karamolah Bagherifard, Sharifah Kamilah Syed Yusof:
An innovative linear unsupervised space adjustment by keeping low-level spatial data structure. Knowl. Inf. Syst. 59(2): 437-464 (2019) - [j23]Ahmad Nazari, Ayob Dehghan, Samad Nejatian, Vahideh Rezaie, Hamid Parvin:
A comprehensive study of clustering ensemble weighting based on cluster quality and diversity. Pattern Anal. Appl. 22(1): 133-145 (2019) - [j22]Mohamadamin Pirbonyeh, Vahideh Rezaie, Hamid Parvin, Samad Nejatian, Mahdi Mehrabi:
A linear unsupervised transfer learning by preservation of cluster-and-neighborhood data organization. Pattern Anal. Appl. 22(3): 1149-1160 (2019) - 2018
- [j21]Hamid Parvin, Samad Nejatian, Majid Mohamadpour:
Explicit memory based ABC with a clustering strategy for updating and retrieval of memory in dynamic environments. Appl. Intell. 48(11): 4317-4337 (2018) - [j20]Milad Yasrebi, Arash Eskandar-Baghban, Hamid Parvin, Majid Mohammadpour:
Optimisation inspiring from behaviour of raining in nature: droplet optimisation algorithm. Int. J. Bio Inspired Comput. 12(3): 152-163 (2018) - [j19]Mohsen Moradi, Samad Nejatian, Hamid Parvin, Vahideh Rezaie:
CMCABC: Clustering and Memory-Based Chaotic Artificial Bee Colony Dynamic Optimization Algorithm. Int. J. Inf. Technol. Decis. Mak. 17(4): 1007-1046 (2018) - [j18]Samad Nejatian, Hamid Parvin, Eshagh Faraji:
Using sub-sampling and ensemble clustering techniques to improve performance of imbalanced classification. Neurocomputing 276: 55-66 (2018) - [j17]Mohammad Nabi Omidvar, Samad Nejatian, Hamid Parvin, Vahideh Rezaie:
A new natural-inspired continuous optimization approach. J. Intell. Fuzzy Syst. 35(3): 3267-3283 (2018) - [j16]Moslem Mohammadi Jenghara, Hossein Ebrahimpour-Komleh, Vahideh Rezaie, Samad Nejatian, Hamid Parvin, Sharifah Kamilah Syed Yusof:
Imputing missing value through ensemble concept based on statistical measures. Knowl. Inf. Syst. 56(1): 123-139 (2018) - [j15]Moslem Mohammadi Jenghara, Hossein Ebrahimpour-Komleh, Hamid Parvin:
Dynamic protein-protein interaction networks construction using firefly algorithm. Pattern Anal. Appl. 21(4): 1067-1081 (2018) - [c69]Hamid Jamalinia, Zahra Alizadeh, Samad Nejatian, Hamid Parvin, Vahideh Rezaie:
An Innovative and Improved Mamdani Inference (IMI) Method. MICAI (1) 2018: 413-422 - 2017
- [j14]Samad Nejatian, Rohollah Omidvar, Hadayat Mohamadi, Arash Eskandar Baghbani, Vahideh Rezaie, Hamid Parvin:
An optimization algorithm based on behavior of see-see partridge chicks. J. Intell. Fuzzy Syst. 33(6): 3227-3240 (2017) - [c68]Ghodratolah Dastfal, Samad Nejatian, Hamid Parvin, Vahideh Rezaie:
Introducing a Classification Model Based on SVM for Network Intrusion Detection. MICAI (1) 2017: 54-66 - 2016
- [j13]Hamid Alishavandi, Gholam Hosein Gouraki, Hamid Parvin:
An enhanced dynamic detection of possible invariants based on best permutation of test cases. Comput. Syst. Sci. Eng. 31(1) (2016) - [c67]Seyedeh Foroozan Rashidi, Hamid Parvin, Samad Nejatian:
Trend Detection in Gold Worth Using Regression. MICAI (1) 2016: 281-289 - [c66]Mostafa Zarei, Hamid Parvin, Marzieh Dadvar:
A New Method to Optimize Dynamic Environments with Global Changes Using the Chickens-Hen' Algorithm. MICAI (2) 2016: 331-340 - [c65]Elias Dasturian, Hamid Parvin, Samad Nejatian:
Integrating Information of Films by a Multi-source Combining Framework. MICAI (2) 2016: 437-446 - 2015
- [j12]Hamid Parvin, Miresmaeil Mirnabibaboli, Hamid Alinejad-Rokny:
Proposing a classifier ensemble framework based on classifier selection and decision tree. Eng. Appl. Artif. Intell. 37: 34-42 (2015) - [j11]Hamid Parvin, Behrouz Minaei-Bidgoli:
A clustering ensemble framework based on selection of fuzzy weighted clusters in a locally adaptive clustering algorithm. Pattern Anal. Appl. 18(1): 87-112 (2015) - [j10]Roham Ranjbar, Hamid Parvin, Farhad Rad:
Clustering Ensemble Selection Considering Quality and Diversity. Res. Comput. Sci. 102: 89-99 (2015) - [c64]Afshin Shahriari, Hamid Parvin, Alireza Monajati:
Exploring Weights of Hierarchical and Equivalency Relationship in General Persian Texts. EANN Workshops 2015: 7:1-7:7 - [c63]Hamid Parvin, Ahad Zolfaghari, Farhad Rad:
Enhanced KNNC Using Train Sample Clustering. EANN 2015: 159-168 - [c62]Sadrollah Abbasi, Sajad Manteghi, Ali Heidarzadegan, Yasser Nemati, Hamid Parvin:
A Robust Clustering via Swarm Intelligence. ICCSA (2) 2015: 55-70 - [c61]Marzieh Azimifar, Ali Heidarzadegan, Yasser Nemati, Sajad Manteghi, Hamid Parvin:
Semi-supervised Local Aggregation Methodology. ICCSA (4) 2015: 233-245 - [c60]Sajad Manteghi, Hamid Parvin, Ali Heidarzadegan, Yasser Nemati:
Multitask Reinforcement Learning in Nondeterministic Environments: Maze Problem Case. MCPR 2015: 64-73 - [c59]Sajad Saydali, Hamid Parvin, Ali A. Safaei:
Classifier Ensemble by Semi-supervised Learning: Local Aggregation Methodology. MEMICS 2015: 119-132 - [c58]Rohollah Omidvar, Hamid Parvin, Farhad Rad:
SSPCO Optimization Algorithm (See-See Partridge Chicks Optimization). MICAI (Special Sessions) 2015: 101-106 - [c57]Mohammad Mehdi Samadpour, Hamid Parvin, Farhad Rad:
Diminishing Prototype Size for k-Nearest Neighbors Classification. MICAI (Special Sessions) 2015: 139-144 - [c56]Alireza Aminsharifi, Shima Pouyesh, Hamid Parvin:
Building a Diverse Ensemble for Classification. MICAI (Special Sessions) 2015: 145-151 - [c55]Hamid Alishavandi, Hamid Parvin, Hossein Ghaffarian:
A New Method for Clustering-Based Channel Assignment for Multi-channel Multi-radio Wireless Mesh Networks. MICAI (Special Sessions) 2015: 194-199 - [c54]Sadrollah Sadeghi, Hamid Parvin, Farhad Rad:
Particle Swarm Optimization Algorithm for Dynamic Environments. MICAI (1) 2015: 260-269 - [c53]Shahrbanoo Ahmadi, Hamid Parvin, Farhad Rad:
Primary Clusters Selection Using Adaptive Algorithms. MICAI (1) 2015: 487-498 - [c52]Mehdi Hamzeh-Khani, Hamid Parvin, Farhad Rad:
A Classifier Ensemble Enriched with Unsupervised Learning. MICAI (1) 2015: 509-517 - [c51]Maryam Azimifar, Farhad Rad, Hamid Parvin:
Online Detection of Moving Object in Video. MIWAI 2015: 271-278 - [c50]Afshin Shahriari, Farhad Rad, Hamid Parvin:
Fault Localization by Imperialist Competitive Algorithm. MIWAI 2015: 405-412 - 2014
- [j9]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) - [j8]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) - [j7]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) - [c49]Mohammad Mohammadi, Hamid Parvin, Naser Nematbakhsh, Ali Heidarzadegan:
A Robust Density-Based Hierarchical Clustering Algorithm. MICAI (Special Sessions) 2014: 89-92 - 2013
- [j6]Hamid Parvin, Behrouz Minaei-Bidgoli:
A clustering ensemble framework based on elite selection of weighted clusters. Adv. Data Anal. Classif. 7(2): 181-208 (2013) - [j5]Hamid Parvin, Behrouz Minaei-Bidgoli, Hamid Alinejad-Rokny, William F. Punch:
Data weighing mechanisms for clustering ensembles. Comput. Electr. Eng. 39(5): 1433-1450 (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) - [j3]Hamid Parvin, Hamid Alinejad-Rokny, Behrouz Minaei-Bidgoli, Sajad Parvin:
A new classifier ensemble methodology based on subspace learning. J. Exp. Theor. Artif. Intell. 25(2): 227-250 (2013) - 2012
- [c48]Hamid Parvin, Behzad Maleki, Sajad Parvin:
A Clustering Ensemble Based on a Modified Normalized Mutual Information Metric. AMT 2012: 32-42 - [c47]Hamid Parvin, Sajad Parvin, Zahra Rezaei, Moslem Mohamadi:
CDEBMTE: Creation of Diverse Ensemble Based on Manipulation of Training Examples. DCAI 2012: 113-120 - [c46]Hamid Parvin, Atousa Dahbashi, Sajad Parvin, Behrouz Minaei-Bidgoli:
Improving Persian Text Classification and Clustering Using Persian Thesaurus. DCAI 2012: 493-500 - [c45]Hamid Parvin, Sajad Parvin, Zahra Rezaei, Moslem Mohamadi:
Classifier Ensemble Framework Based on Clustering. DCAI 2012: 743-750 - [c44]Hosein Alizadeh, Hamid Parvin, Sajad Parvin, Zahra Rezaei, Moslem Mohamadi:
A Max Metric to Evaluate a Cluster. HAIS (1) 2012: 255-266 - [c43]Hamid Parvin, Moslem Mohamadi, Sajad Parvin, Zahra Rezaei, Behrouz Minaei:
Nearest Cluster Classifier. HAIS (1) 2012: 267-275 - [c42]Hamid Parvin, Hosein Alizadeh, Sajad Parvin, Behzad Maleki:
A Heuristic Diversity Production Approach. ICCSA (3) 2012: 647-656 - [c41]Hamid Parvin, Sajad Parvin, Zahra Rezaei, Moslem Mohamadi:
A Heuristically Perturbation of Dataset to Achieve a Diverse Ensemble of Classifiers. MCPR 2012: 197-206 - [c40]Hamid Parvin, Sajad Parvin:
Unsupervised Linkage Learner Based on Local Optimums. MCPR 2012: 255-264 - [c39]Hamid Parvin, Sara Ansari, Sajad Parvin:
A Diversity Production Approach in Ensemble of Base Classifiers. MICAI (1) 2012: 51-60 - [c38]Hamid Parvin, Sajad Parvin:
A Robust Classifier Ensemble for Improving the Performance of Classification. MICAI (Special Sessions) 2012: 52-57 - [c37]Hamid Parvin, Sajad Parvin:
Effective Diagnosis of Breast Cancer. MICAI (Special Sessions) 2012: 66-70 - [c36]Hamid Parvin, Sara Ansari, Sajad Parvin:
Proposing a New Method for Non-relative Imbalanced Dataset. SOCO 2012: 297-306 - 2011
- [c35]Hamid Parvin, Behrouz Minaei, Hosein Alizadeh:
A Heuristic Classifier Ensemble for Huge Datasets. AMT 2011: 29-38 - [c34]Hosein Alizadeh, Behrouz Minaei-Bidgoli, Hamid Parvin:
A New Asymmetric Criterion for Cluster Validation. CIARP 2011: 320-330 - [c33]Hamid Parvin, Behrouz Minaei-Bidgoli, Sajad Parvin:
A Scalable Heuristic Classifier for Huge Datasets: A Theoretical Approach. CIARP 2011: 380-390 - [c32]Hamid Parvin, Behrouz Minaei-Bidgoli, Atousa Dahbashi:
Improving Persian Text Classification Using Persian Thesaurus. CIARP 2011: 391-398 - [c31]Hamid Parvin, Behrouz Minaei-Bidgoli, Sajad Parvin:
An Accumulative Points/Votes Based Approach for Feature Selection. CIARP 2011: 399-408 - [c30]Hamid Parvin, Behrouz Minaei-Bidgoli, B. Hoda Helmi:
An Innovative Linkage Learning Based on Differences in Local Optimums. CISIS 2011: 285-292 - [c29]Hamid Parvin, Behrouz Minaei, Sajjad Ghatei:
A New Particle Swarm Optimization for Dynamic Environments. CISIS 2011: 293-300 - [c28]Hamid Parvin, Nasser Mozayani, Akram Beigi:
A Classifier Ensemble for Face Recognition Using Gabor Wavelet Features. CISIS 2011: 301-307 - [c27]Hamid Parvin, Behrouz Minaei-Bidgoli:
A New Space Defined by Ant Colony Algorithm to Partition Data. ICAIS 2011: 272-284 - [c26]Hamid Parvin, Behrouz Minaei, Hossein Karshenas, Akram Beigi:
A New N-gram Feature Extraction-Selection Method for Malicious Code. ICANNGA (2) 2011: 98-107 - [c25]Akram Beigi, Nasser Mozayani, Hamid Parvin:
Chaotic Exploration Generator for Evolutionary Reinforcement Learning Agents in Nondeterministic Environments. ICANNGA (2) 2011: 245-253 - [c24]Saeed Parsa, Behrouz Minaei, Mojtaba Daryabari, Hamid Parvin:
New Efficient Techniques for Dynamic Detection of Likely Invariants. ICANNGA (1) 2011: 381-390 - [c23]Hamid Parvin, Behrouz Minaei, Akram Beigi, B. Hoda Helmi:
Classification Ensemble by Genetic Algorithms. ICANNGA (1) 2011: 391-399 - [c22]Hamid Parvin, Behrouz Minaei-Bidgoli:
Linkage Learning Based on Local Optima. ICCCI (1) 2011: 163-172 - [c21]Hamid Parvin, Behrouz Minaei, Hosein Alizadeh:
A New Adaptive Framework for Classifier Ensemble in Multiclass Large Data. ICCSA (1) 2011: 526-536 - [c20]Mohammadhani Fouladgar, Behrouz Minaei-Bidgoli, Hamid Parvin:
Enriching Dynamically Detected Invariants in the Case of Arrays. ICCSA (5) 2011: 622-632 - [c19]Hamid Parvin, Behrouz Minaei-Bidgoli, Hosein Alizadeh:
Iranian Cancer Patient Detection Using a New Method for Learning at Imbalanced Datasets. IDEAL 2011: 299-306 - [c18]Hosein Alizadeh, Behrouz Minaei, Hamid Parvin:
A New Criterion for Clusters Validation. EANN/AIAI (2) 2011: 110-115 - [c17]Behrouz Minaei-Bidgoli, Maryam Asadi, Hamid Parvin:
An Ensemble Based Approach for Feature Selection. EANN/AIAI (1) 2011: 240-246 - [c16]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 - [c15]Hamid Parvin, Behrouz Minaei-Bidgoli, Hossein Ghaffarian:
An Innovative Feature Selection Using Fuzzy Entropy. ISNN (3) 2011: 576-585 - [c14]Hamid Parvin, Behrouz Minaei-Bidgoli, Hosein Alizadeh:
A New Clustering Algorithm with the Convergence Proof. KES (1) 2011: 21-31 - [c13]Hamid Parvin, Behrouz Minaei-Bidgoli, Akram Beigi:
A New Classifier Ensembles Framework. KES (1) 2011: 110-119 - [c12]Mohammadhani Fouladgar, Behrouz Minaei-Bidgoli, Hamid Parvin:
On Possibility of Conditional Invariant Detection. KES (2) 2011: 214-224 - [c11]Hamid Parvin, Behrouz Minaei, Sajad Parvin:
A Metric to Evaluate a Cluster by Eliminating Effect of Complement Cluster. KI 2011: 246-254 - [c10]Hamid Parvin, Behrouz Minaei-Bidgoli, Hamideh Shahpar:
Classifier Selection by Clustering. MCPR 2011: 60-66 - [c9]Hamid Parvin, Akram Beigi:
Clustering Ensemble Framework via Ant Colony. MICAI (2) 2011: 153-164 - [c8]Hamid Parvin, Behrouz Minaei-Bidgoli, Hosein Alizadeh:
Detection of Cancer Patients Using an Innovative Method for Learning at Imbalanced Datasets. RSKT 2011: 376-381 - [c7]Mojtaba Daryabari, Behrouz Minaei-Bidgoli, Hamid Parvin:
Localizing Program Logical Errors Using Extraction of Knowledge from Invariants. SEA 2011: 124-135 - 2010
- [c6]Akram Beigi, Hamid Parvin, Nasser Mozayani, Behrouz Minaei:
Improving Reinforcement Learning Agents Using Genetic Algorithms. AMT 2010: 330-337
2000 – 2009
- 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
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