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Publications

 

Journal articles

  1. Faizollahzadeh Ardabili, S., Najafi, B., Shamshirband, S., Minaei Bidgoli, B., Deo, R. C., & Chau, K.-wing. (2018). Computational intelligence approach for modeling hydrogen production: a review. Engineering Applications of Computational Fluid Mechanics12(1), 438–458.
  2. Khozouie, N., Fotouhi-Ghazvini, F., & Minaei-Bidgoli, B. (2018). Ontological MobiHealth System. Indonesian Journal of Electrical Engineering and Computer Science10(1), 309–319.
  3. Seyyedi, S. H., & Minaei-Bidgoli, B. (2018). Estimator learning automata for feature subset selection in high-dimensional spaces, case study: Email spam detection. International Journal of Communication Systems, e3541.
  4. Aryabarzan, N., Minaei-Bidgoli, B., & Teshnehlab, M. (2018). negFIN: An efficient algorithm for fast mining frequent itemsets. Expert Systems with Applications.
  5. Khosravi, A., Minaei-Bidgoli, B., & others. (2017). Customer Knowledge Management in Software Development: a Descriptive Field Survey. Journal of Theoretical and Applied Information Technology95(2), 434.
  6. Khosravi, A., Hussin, A. R. C., & Minaei-Bidgoli, B. (2017). Toward a Customer Knowledge Management Model for Enhancing Enterprise Software Quality. Advanced Science Letters23(9), 9035–9038.
  7. Seyyedi, S. H., & Minaei-Bidgoli, B. (2017). Enhancing Effectiveness of Dimension Reduction in Text Classification. International Journal on Artificial Intelligence Tools26(03), 1750008.
  8. Seyyedi, S. H., & Minaei-Bidgoli, B. (2017). Using learning automata to determine proper subset size in high-dimensional spaces. Journal of Experimental & Theoretical Artificial Intelligence29(2), 415–432.
  9. Abdipourfard, E., Minaei-Bidgoli, B., & Morteza, V. N. (2017). Identification in Cyberspace as a Main Challenge of e-Government (a Legal Approach to e-Identity Management System).
  10. Nasiri, M., Minaei, B., & Sharifi, Z. (2017). Adjusting data sparsity problem using linear algebra and machine learning algorithm. Applied Soft Computing61, 1153–1159.
  11. Ghorbani, S., Mobini, M. H., & Minaei-Bidgoli, B. (2017). Continuous Mutual Nearest Neighbour Processing on Moving Objects in Spatiotemporal Datasets. International Journal of Information and Education Technology7(5), 392.
  12. Sh, M. E., Shahnaseri, S., Soltani, P., Motamedi, M. R. K., Fararoei, M., Sadat, S. J., … others. (2016). Management of Naso-Orbito-Ethmoid Fractures: A 10-Year Review. Management7, 8.
  13. Fathian, M., Hoseinpoor, Y., & Minaei-Bidgoli, B. (2016). Offering a hybrid approach of data mining to predict the customer churn based on bagging and boosting methods. Kybernetes45(5), 732–743.
  14. Joudaki, H., Rashidian, A., Minaei-Bidgoli, B., Mahmoodi, M., Geraili, B., Nasiri, M., & Arab, M. (2016). Improving fraud and abuse detection in general physician claims: a data mining study. International Journal of Health Policy and Management5(3), 165.
  15. Yousefnezhad, M., Reihanian, A., Zhang, D., & Minaei-Bidgoli, B. (2016). A new selection strategy for selective cluster ensemble based on Diversity and Independency. Engineering Applications of Artificial Intelligence56, 260–272.
  16. Pakzad, A., & Minaei Bidgoli, B. (2016). An improved joint model: POS tagging and dependency parsing. Journal of AI and Data Mining4(1), 1–8.
  17. Kalanat, N., & Minaei-Bidgoli, B. (2016). An optimized fuzzy method for finding actions. Journal of Intelligent & Fuzzy Systems30(1), 257–265.
  18. Reihanian, A., Minaei-Bidgoli, B., & Alizadeh, H. (2016). Topic-oriented community detection of rating-based social networks. Journal of King Saud University-Computer and Information Sciences28(3), 303–310.
  19. Mahdi, N., Behrouz, M., & Amir, K. (2016). Dynamic recommendation: Disease prediction and prevention using recommender system. International Journal of Basic Science in Medicine1(1), 13–17.
  20. Sadidpour, S., Shirazi, H., Sharef, N. M., Minaei-Bidgoli, B., & Sanjaghi, M. E. (2016). Context-Sensitive Opinion Mining using Polarity Patterns. International Journal of Advanced Computer Science and Applications (IJACSA)7.
  21. Nasiri, M., & Minaei, B. (2016). Increasing prediction accuracy in collaborative filtering with initialized factor matrices. The Journal of Supercomputing72(6), 2157–2169.
  22. Alizadeh, H., & Bidgoli, B. M. (2016). Introducing A Hybrid Data Mining Model to Evaluate Customer Loyalty. Engineering, Technology & Applied Science Research6(6), 1235–1240.
  23. RAD, F. A. R. H. A. D., PARVIN, H. A. M. I. D., DEHBASHI, A. T. O. O. S. A., & MINAEI, B. E. H. R. O. U. Z. (2016). INTRODUCTION A NEW METHOD FOR AUTOMATED INDEXING AND EXTRACTION OF KEYWORDS FOR INFORMATION RETRIEVAL AND TEXT CLUSTERING.
  24. Pouramini, J., & Minaei-Bidgoli, B. (2016). A New Synthetic Oversampling Method Using Ontology and Feature Selection in Order to Improve Imbalanced Textual Data Classification in Persian Texts. Bulletin De La Société Royale Des Sciences De Liège85, 358–375.
  25. Baradaran, R., & Minaei-Bidgoli, B. (2015). Event Extraction from Classical Arabic Texts. Int. Arab J. Inf. Technol.12(5), 494–502.
  26. RAZIZADEH, A. L. I., MOOSAVI, G. I. L. A. N. I. S. E. Y. E. D. R. A. Z. I., & MINAEI, B. E. H. R. O. U. Z. (2015). CHOOSING ETHICAL OPTIONS.
  27. Parvin, H., & Minaei-Bidgoli, B. (2015). A clustering ensemble framework based on selection of fuzzy weighted clusters in a locally adaptive clustering algorithm. Pattern Analysis and Applications18(1), 87–112.
  28. Aliyari, H., Kazemi, M., Tekieh, E., Salehi, M., Sahraei, H., Daliri, M. R., … others. (2015). The effects of fifa 2015 computer games on changes in cognitive, Hormonal and brain waves functions of young men volunteers. Basic and Clinical Neuroscience6(3), 193.
  29. Dolatshah, M., Hadian, A., & Minaei-Bidgoli, B. (2015). Ball*-tree: Efficient spatial indexing for constrained nearest-neighbor search in metric spaces. ArXiv Preprint ArXiv:1511.00628.
  30. MINAEI, B. E. H. R. O. U. Z., & SEYED, H. O. S. S. E. I. N. I. S. E. Y. E. D. M. O. H. A. M. M. A. D. A. L. I. (2015). Thematic Analysis of Lifestyle in SIMS (Video Game).
  31. Joudaki, H., Rashidian, A., Minaei-Bidgoli, B., Mahmoodi, M., Geraili, B., Nasiri, M., & Arab, M. (2015). Using data mining to detect health care fraud and abuse: a review of literature. Global Journal of Health Science7(1), 194.
  32. Nasiri, M., Minaei, B., & Rezghi, M. (2014). Effect of rating time for cold start problem in collaborative filtering. International Journal of Applied Operational Research-An Open Access Journal4(3), 75–79.
  33. Dabaghi-Zarandi, F., Minaei-Bidgoli, B., & Davarzani, Z. (2014). A Probabilistic Algorithm for MANET Clustering. International Journal of Future Generation Communication and Networking7(6), 59–68.
  34. Hajakbari, M. S., & Minaei-Bidgoli, B. (2014). A new scoring system for assessing the risk of occupational accidents: A case study using data mining techniques with Iran’s Ministry of Labor data. Journal of Loss Prevention in the Process Industries32, 443–453.
  35. Hoseini, S. M., & Minaei, B. (2014). Efficient Incorporation of PLSA and LDA Semantic Knowledge in Statistical Language Model Adaptation for Persian ASR Systems.
  36. Minaei-Bidgoli, B., Parvin, H., Alinejad-Rokny, H., Alizadeh, H., & Punch, W. F. (2014). Effects of resampling method and adaptation on clustering ensemble efficacy. Artificial Intelligence Review41(1), 27–48.
  37. Mousavi Khaneghah, E., Mirtaheri, S. L., Sharifi, M., & Minaei Bidgoli, B. (2014). Modeling and analysis of access transparency and scalability in P2P distributed systems. International Journal of Communication Systems27(10), 2190–2214.
  38. Alizadeh, H., Minaei-Bidgoli, B., & Parvin, H. (2014). Cluster ensemble selection based on a new cluster stability measure. Intelligent Data Analysis18(3), 389–408.
  39. Alizadeh, H., Minaei-Bidgoli, B., & Parvin, H. (2014). To improve the quality of cluster ensembles by selecting a subset of base clusters. Journal of Experimental & Theoretical Artificial Intelligence26(1), 127–150.
  40. Nasiri, M., Zojaji, S., Boroumand, F., MINAEI, B. I. D. G. O. L. I. B., & MINAEI, B. I. D. G. O. L. I. F. (2014). Evaluation of correlation between risk factors of breast tumors by Multi Nominal Logit Model.
  41. Khobzi, H., Akhondzadeh-Noughabi, E., & Minaei-Bidgoli, B. (2014). A new application of rfm clustering for guild segmentation to mine the pattern of using banks’e-payment services. Journal of Global Marketing27(3), 178–190.
  42. Nasiri, M., Rezghi, M., & Minaei, B. (2014). Fuzzy dynamic tensor decomposition algorithm for recommender system. UCT Journal of Research in Science, Engineering and Technology2, 52–55.
  43. Borhani-Fard, Z., Esmaeili, L., Minaei-Bidgoli, B., & Nasiri, M. (2014). Experiments on Data Preprocessing of Persian Blog Networks. ArXiv Preprint ArXiv:1409.0517.
  44. NASIRI, M., REZGHI, S. M., & MINAEI, B. (2014). NEW ALGORITHM FOR TENSOR BASED RECOMMENDATION SYSTEM.
  45. Rajabi-Alni, F., Bagheri, A., & Minaei-Bidgoli, B. (2014). An O (n\^ 3) time algorithm for the maximum weight b-matching problem on bipartite graphs. ArXiv Preprint ArXiv:1410.3408.
  46. Hadian, A., & Minaei-Bidgoli, B. (2013). Multi-View Learning for Web Spam Detection. Journal of Emerging Technologies in Web Intelligence5(4).
  47. Parvin, H., Minaei-Bidgoli, B., Alinejad-Rokny, H., & Punch, W. F. (2013). Data weighing mechanisms for clustering ensembles. Computers & Electrical Engineering39(5), 1433–1450.
  48. Mousavi Khaneghah, E., Mirtaheri, S. L., Minaei-Bidgoli, B., Sharifi, M., Yekta, M., Reza, M., … Bornaee, Z. (2013). Atlantis: a time-value model in e-commerce. Journal of Applied Social Psychology43(6), 1211–1227.
  49. Mirtaheri, S. L., Khaneghah, E. M., Sharifi, M., Minaei-Bidgoli, B., Raahemi, B., Arab, M. N., & Ardestani, A. S. (2013). Four-dimensional model for describing the status of peers in peer-to-peer distributed systems. Turkish Journal of Electrical Engineering & Computer Sciences21(6), 1646–1664.
  50. Rajabi, Z., Minaei, B., & Seyyedi, M. A. (2013). Enterprise architecture development based on enterprise ontology. Journal of Theoretical and Applied Electronic Commerce Research8(2), 85–95.
  51. Borhani-Fard, Z., Minaei, B., & Alinejad-Rokny, H. (2013). Applying clustering approach in blog recommendation. Journal of Emerging Technologies in Web Intelligence5(3), 296–301.
  52. Danesh, M., Minaei, B., & Kashefi, O. (2013). A Distributed N-Gram Indexing System to Optimizing Persian Information Retrieval. International Journal of Computer Theory and Engineering5(2), 214.
  53. Parvin, H., Alinejad-Rokny, H., Minaei-Bidgoli, B., & Parvin, S. (2013). A new classifier ensemble methodology based on subspace learning. Journal of Experimental & Theoretical Artificial Intelligence25(2), 227–250.
  54. Esmaeili, L., Nasiri, M., & Minaei-Bidgoli, B. (2013). Analyzing Persian social networks: an empirical study. IGI Global, 167–172.
  55. Parvin, H., Minaei-Bidgoli, B., & Alinejad-Rokny, H. (2013). A new imbalanced learning and dictions tree method for breast cancer diagnosis. Journal of Bionanoscience7(6), 673–678.
  56. Minaei-Bidgoli, B., Barmaki, R., & Nasiri, M. (2013). Mining numerical association rules via multi-objective genetic algorithms. Information Sciences233, 15–24.
  57. Alizadeh, H., Minaei-Bidgoli, B., & Parvin, H. (2013). Optimizing fuzzy cluster ensemble in string representation. International Journal of Pattern Recognition and Artificial Intelligence27(02), 1350005.
  58. Akhondzadeh-Noughabi, E., Alizadeh, S., Ahmadvand, A.-M., & Minaei-Bidgoli, B. (2013). FTiS: A new model for effective urban management: A case study of urban systems in Iran. Cities31, 394–403.
  59. Fouladgar, M. H., Minaei-Bidgoli, B., Parvin, H., & Alinejad-Rokny, H. (2013). Extension in the case of arrays in daikon like tools. Advanced Engineering Technology and Application2(1), 5–10.
  60. Parvin, H., & Minaei-Bidgoli, B. (2013). A clustering ensemble framework based on elite selection of weighted clusters. Advances in Data Analysis and Classification7(2), 181–208.
  61. Hadian, A., Shahrivari, S., & Minaei-Bidgoli, B. (2012). Fine-grained Parallel Ant Colony System for Shared-Memory Architectures. International Journal of Computer Applications53(8).
  62. Zarandi, M. H. F., Khademian, M., Minaei-Bidgoli, B., & Türkşen, I. B. (2012). A fuzzy expert system architecture for intelligent tutoring systems: A cognitive mapping approach. Journal of Intelligent Learning Systems and Applications4(01), 29.
  63. Esmaeili, L., Nasiri, R., & Minaei-Bidgoli, B. (2012). Applying Personalized Recommendation for Social Network Marketing. E-Marketing: Concepts, Methodologies, Tools, and Applications: Concepts, Methodologies, Tools, and Applications, 137–150.
  64. Esmaeili, L., Minaei-Bidgoli, B., Alinejad-Rokny, H., & Nasiri, M. (2012). Hybrid recommender system for joining virtual communities. Research Journal of Applied Sciences, Engineering and Technology4(5), 500–509.
  65. Amooee, G., Minaei-Bidgoli, B., & Bagheri-Dehnavi, M. (2012). A comparison between data mining prediction algorithms for fault detection (Case study: Ahanpishegan co.). ArXiv Preprint ArXiv:1201.6053.
  66. Daryabari, M., Parvin, H., Mohammadi, M., & Minaei, B. (2012). Localizing Program Errors Based on Invariant Concept. Journal of Convergence Information Technology7(1).
  67. NASIRI, M., ESMAELI, A., MINAEI, B., & MAZINI, N. (2012). THE SUGGESTION OF A METHOD BASED ON MULTI-PURPOSE PSO ALGORITHM TO EXTRACT ASSOCIATION RULES IN DATA MINING.
  68. Bidgoli, B. M., Hani, S. H., & Ghanbari, V. (2012). Data Mining in the E-Learning Systems: A Virtual University Case Study. International Journal of Information & Communication Technology Research4(2), 71–81.
  69. Chavan, S. B., & others. (2012). Use of genetic algorithm in network security. International Journal of Computer Applications53(8).
  70. Ao, Y., & Chi, H. (2012). Differential evolution using opposite point for global numerical optimization. Journal of Intelligent Learning Systems and Applications4(01), 1.
  71. Naghavi, M., Naghavi, V., & Minaei, B. (2011). Analyzing Web Users Behavior to Improve Web Filtering.
  72. Qodmanan, H. R., Nasiri, M., & Minaei-Bidgoli, B. (2011). Multi objective association rule mining with genetic algorithm without specifying minimum support and minimum confidence. Expert Systems with Applications38(1), 288–298.
  73. Okhovvat, M., & Bidgoli, B. M. (2011). A hidden Markov model for Persian part-of-speech tagging. Procedia Computer Science3, 977–981.
  74. Tari, M., Minaei, B., Farahi, A., & Pirzadeh, M. N. (2011). Prediction of Students’ Educational Status Using CART Algorithm, Neural Network, and Increase in Prediction Precision Using Combinational Model. IJCSNS11(6), 243.
  75. Danesh, M., Minaei, B., & Kashefi, O. (2011). Challenging Massive Information Retrieval in Persian. International Journal of Information and Education Technology1(3), 212.
  76. Pirzadeh, M. N., Minaei, B., Tari, M., & Amini, J. P. (2011). Predicting required bandwidth for educational institutes using prediction techniques in data mining (Case Study: Qom Payame Noor University). IJCSNS11(6), 260.
  77. Parvin, H., Helmi, H., Minaei, B., Rokny, H. A., & Shirgahi, H. (2011). Linkage learning based on differences in local optimums of building blocks with one optima. International Journal of Physical Sciences6(14), 3419–3425.
  78. Parvin, H., Minaei, B., Alinejad-Rokny, H., & Ghatei, S. (2011). An innovative combination of particle swarm optimization, learning automaton and great deluge algorithms for dynamic environments. International Journal of Physical Sciences6(22), 5121–5127.
  79. MOTOR, P. E. R. M. A. N. E. N. T. M. A. G. N. E. T. S. Y. N. C. H. R. O. N. O. U. S. (2011). Nonlinear adaptive backstepping control of permanent magnet synchronous motor (PMSM). Journal of Theoretical and Applied Information Technology29(1).
  80. Ghanavati, M., GHOLAMIAN, M. O. H. A. M. A. D. R. E. Z. A., Minaei, B., & Davoudi, M. (2011). AN EFFICIENT COST FUNCTION FOR IMPERIALIST COMPETITIVE ALGORITHM TO FIND BEST CLUSTERS. Journal of Theoretical & Applied Information Technology29(1).
  81. Najafli, N., Farnoushfar, B., Nasiri, M., & Minaei, B. (2011). Network Risk Evaluation by Data Mining.
  82. Pandi, M., Kashefi, O., Minaei, B., & others. (2011). A novel similarity measure for sequence data. Journal of Information Processing Systems7(3), 413–424.
  83. Jolfaei, A., ALAEIYAN, M., RAHIMPOUR, A. R., DEHNAVI, S. M., NAGHAVI, M., NAGHAVI, V., … others. (2011). Fabrication of a Simulator for Neuron Cell’s Action Potential.
  84. imani, F., AKHAVAN, A. K. B. A. R. I. G. H. O. D. R. A. T., MOHAMMADIAN, E. R. D. I. A. L. I., & Rahimzadeh, P. (2011). An Evaluation of the Effects of adding oral pregabaline to Morphine sulfate in Patients Receiving Intravenous PCA after orthopedic Surgery.
  85. Saadat, P., & Bidgoli, B. M. (2010). Scaling Up Performance of Web Services by Pre-Serialization Response Analysis. International Journal of Information & Communication Technology Research2(2), 43–49.
  86. Zangeneh, F. Z., Minaee, B., Amirzargar, A., Ahangarpour, A., & Mousavizadeh, K. (2010). Effects of chamomile extract on biochemical and clinical parameters in a rat model of polycystic ovary syndrome. Journal of Reproduction & Infertility11(3), 169.
  87. Khoshgoftar, M., Minaei, B., & Faraahi, A. (2010). A New Design for Knowledge Visualization based on User’s Understanding of Wiki data. IJCSNS10(12), 64.
  88. Parvin, H., Alizadeh, H., & Minati, B. (2010). A modification on k-nearest neighbor classifier. Global Journal of Computer Science and Technology.
  89. Hadian, A., Nasiri, M., & Minaei-Bidgoli, B. (2010). Clustering Based Multi-Objective Rule Mining using Genetic Algorithm. JDCTA4(1), 37–42.
  90. Kashefi, O., Mohseni, N., & Minaei, B. (2010). Optimizing document similarity detection in Persian information retrieval. Journal of Convergence Information Technology5(2), 101–106.
  91. SARMAST, S. H. O. U. S. H. T. A. R. I. F., ZAFARI, Z. A. N. G. E. N. E. H. F. A. R. I. D. E. H., Minaei, B., AMIR, Z. A. R. G. A. R. A., & AHANGARPOUR, A. (2010). FEMALE INFERTILITY: P-65: EFFICACY OF CHAMOMILE-EXTRACT ON POLYCYSTIC OVARY SYNDROME IN RAT.
  92. Minaei-Bidgoli, B., & Akhondzadeh, E. (2010). A new approach of using association rule mining in customer complaint management. IJCSI, 141.
  93. Derakhshanfar, M., & Minaei-Bidgoli, B. (2009). Optimizing Spatial Trend Detection By Artificial Immune Systems. World Academy of Science, Engineering and Technology, International Journal of Computer, Electrical, Automation, Control and Information Engineering3(1), 68–73.
  94. Minaei, B., & Saadat, P. (2009). SOAP Serialization Performance Enhancement, Design And Implementation Of A Middleware. ArXiv Preprint ArXiv:0911.0488.
  95. Alizadeh, H., Minaei-Bidgoli, B., & Amirgholipour, S. K. (2009). A new method for improving the performance of k nearest neighbor using clustering technique. Journal of Convergence Information Technology4(2), 84–92.
  96. Parvin, H., Alizadeh, H., & Minaei-Bidgoli, B. (2009). Using Clustering for Generating Diversity in Classifier Ensemble. JDCTA3(1), 51–57.
  97. PARVIN, H. A. M. I. D., KARAMI, M. O. H. A. M. M. A. D., MINAEI-BIDGOLI, B. E. H. R. O. U. Z., & FATHIAN, M. O. H. A. M. M. A. D. (2009). DIVERSITY GENERATION IN CLASSIFIERS ENSEMBLE.
  98. Parvin, H., Alizadeh, H., & Minaei-Bidgoli, B. (2009). A New Method for Constructing Classifier Ensembles. JDCTA3(2), 62–66.
  99. Entezari-Maleki, R., Rezaei, A., & Minaei-Bidgoli, B. (2009). Comparison of classification methods based on the type of attributes and sample size. Journal of Convergence Information Technology4(3), 94–102.
  100. Ghaderi, R., & Minaei-Bidgoli, B. (2009). Detecting Data Errors with Employing Negative Association Rules. JDCTA3(3), 91–96.
  101. Iranpour Mobarakeh, M., & Minaei-Bidgoli, B. (2009). Verb detection in persian corpus. International Journal of Digital Content Technology and Its Applications3(1), 58–65.
  102. Alizadeh, H., Hasani-Bafarani, A., Parvin, H., Minaei, B., & Kangavari, M. R. (2008). Dairy Cattle Judging: An Innovative Application for Fuzzy Expert System. WCECS, San Francisco, USA.
  103. Kortemeyer, G., Hall, M., Parker, J., Minaei-Bidgoli, B., Albertelli II, G., Bauer, W., & Kashy, E. (2005). Effective feedback to the instructor from online homework. Journal of Asynchronous Learning Networks9(2), 19–28.
  104. Minaei-Bidgoli, B., Kortemeyer, G., & Punch, W. F. (2004). Enhancing Online Learning Performance: An Application of Data Mining Methods1. Immunohematology62(150), 20–0.
  105. Minaei, B., & Punch, W. (2003). Using genetic algorithms for data mining optimization in an educational web-based system. Genetic and Evolutionary Computation, LNCS4(3), 2252–2263.
  106. Kortemeyer, G., Albertelli, G., Bauer, W., Berryman, F., Bowers, J., Hall, M., … others. (2003). The learning online network with computer-assisted Personalized approach (lon-capa). E-Learning and Distance Learning.
  107. AZARNIA, M. A. H. N. A. Z., MINAEI, B., & HOSSEINI, M. (2001). THE EFFECT OF HISTOPATOLOGY OF NITROFURANTION UPON TESTIS DEVELOPMENTAL IN RAT EMBRYO.
  108. GHIRAVANI, Z. A. H. R. A., ZARDAST, M. A. H. M. O. U. D., HASSANPOUR, F. A. R. D. M. O. H. A. M. M. A. D., HOSSEINI, M. E. H. R. A. N., ARJI, P. A. R. H. A. M., NASERI, A. L. I., … others. (2000). List Of Journal Paper (s). JOURNAL OF MAZANDARAN UNIVERSITY OF MEDICAL SCIENCES10(28).
  109. Kadkhodaee, M., Yousefi, Y., & Minaei, B. (1998). Involvement of Oxygen Radicals in Cholestasis-Induced Renal Injry.
  110. Rasooli, M. S., & Minaei-Bidgoli, B. رد ﺪﻳﺪﺟ ﻲﺷور ﻲﺳرﺎﻓ نﺎﺑز رد ﻲﻳﻼﻣا ﻲﺑﺎﻳﺎﻄﺧ.
  111. Ghanavati, M., Gholamian, M. R., Minaei, B., & Davoudi, M. Hybrid Imperialist Competitive Algorithm and Dynamic Validity Index to find the best clusters.
  112. Moslehi, P., Bidgoli, B. M., Nasiri, M., & Fazel, E. N. Mining Frequent Ranges of anges of anges of Numeric Attributes via Ant Colony ttributes via Ant Colony Optimization Optimization for Continuous ontinuous ontinuous Domains without Specifying pecifying pecifying Minimum Support.
  113. Elahimanesh, M. H., Minaei-Bidgoli, B., Gholami, M. J., & Juzi, H. An Introduction to Noor Corpus and its Language Model.
  114. Shahbeig, S., SADJAD, K., SADEGHI, M., Pouramini, J., Minaei-Bidgoli, B., Nadri, A. A., … Parvin, H. feature selection. Bulletin De La Société Royale Des Sciences De Liège37(9565), 1783–5720.
  115. Entezari-Maleki, R., Iranmanesh, S. M., & Minaei-Bidgoli, B. An Investigation on the Impact of Missing Values’ Imputation over the Prediction Efficacy of the Classification Methods.
  116. Khozouie, N., Fotouhi-Ghazvini, F., & Minaei-Bidgoli, B. Comparison of Context-Aware Systems (Ontology-based).
  117. Minaei-Bidgoli, B., & Kashy, A. PREDICTING STUDENT PERFORMANCE: AN APPLICATION OF DATA MI AN EDUCATIONAL WEB-BASED SYSTEM. System1, 2.
  118. Valandar, M. Y., Ayubi, P., & Barani, M. J. 2015 7th Conference on Information and Knowledge Technology (IKT).
  119. Saeedabadi, M. R., Davayi, A. H., Berari, M., Ehsani, R., Shirani, F., Kaghazlou, H., … others. Organization committees.
  120. Minaei, B., Topchy, A., & Punch, W. A Comparison of Resampling Methods for Clustering Ensembles.
  121. Minaei, B., & Saadat, P. SOAP Serialization Performance Enhancement.
  122. Khoshgoftar, M., Minaei, B., & Faraahi, A. A New Design for Knowledge Visualization based on User’s Understanding of Wiki data Wiki.

 

International conferences (with peer-reviewed proceedings)

  1. Khozouie, N., Fotouhi-Ghazvini, F., & Minaei-Bidgoli, B. (2017). Developing a context-aware mobile patient monitoring framework with an ontology-based approach. In Smart Instrumentation, Measurement and Application (ICSIMA), 2017 IEEE 4th International Conference on (pp. 1–5). IEEE.
  2. Borhanifard, Z., & Minaei-Bidgoli, B. (2017). Recommender system for Persian blogs. In Web Research (ICWR), 2017 3th International Conference on (pp. 109–114). IEEE.
  3. Bayat, A. H., Arzani, M. M., Fathy, M., Matinnejad, A., Minaei-Bidgoli, B., & Entezari, R. (2016). A probabilistic graphical model approach for human activity recognition using skeleton data. In Signal Processing and Intelligent Systems (ICSPIS), International Conference of (pp. 1–5). IEEE.
  4. Minaei, B., & Niknam, M. (2016). An n-gram based Method for nearly Copy Detection in Plagiarism Systems. In FIRE (Working Notes) (pp. 172–175).
  5. Hadian, A., Nobari, S., Minaei-Bidgoli, B., & Qu, Q. (2016). Roll: Fast in-memory generation of gigantic scale-free networks. In Proceedings of the 2016 International Conference on Management of Data (pp. 1829–1842). ACM.
  6. Yaghoub-Zadeh-Fard, M.-A., Minaei-Bidgoli, B., Rahmani, S., & Shahrivari, S. (2015). PSWG: An automatic stop-word list generator for Persian information retrieval systems based on similarity function & POS information. In Knowledge-Based Engineering and Innovation (KBEI), 2015 2nd International Conference on (pp. 111–117). IEEE.
  7. Faghani, S., Hadian, A., & Minaei-Bidgoli, B. (2015). Charset Encoding Detection of HTML Documents. In Asia Information Retrieval Symposium (pp. 215–226). Springer, Cham.
  8. Nasiri, M., Sharifi, Z., & Minaei, B. (2015). Alleviate sparsity problem using hybrid model based on spectral co-clustering and tensor factorization. In Computer and Knowledge Engineering (ICCKE), 2015 5th International Conference on (pp. 285–289). IEEE.
  9. Reihanian, A., Minaei-Bidgoli, B., & Alizedeh, H. (2015). Detecting communities in topical semantic networks. In Information and Knowledge Technology (IKT), 2015 7th Conference on (pp. 1–6). IEEE.
  10. Zaghari, N., Nasiri, M., & Minaei, B. (2015). An approach to reduce cold start in compound recommender systems using semantic technology and social networks. In Knowledge-Based Engineering and Innovation (KBEI), 2015 2nd International Conference on (pp. 700–705). IEEE.
  11. Reihanian, A., Minaei-Bidgoli, B., & Yousefnezhad, M. (2015). Evaluating the effect of topic consideration in identifying communities of rating-based social networks. In Information and Knowledge Technology (IKT), 2015 7th Conference on (pp. 1–6). IEEE.
  12. Khalilinezhad, M., Minaei, B., Vernazza, G., & Dellepiane, S. (2015). Prediction of healthy blood with data mining classification by using Decision Tree, Naive Baysian and SVM approaches. In Sixth International Conference on Graphic and Image Processing (ICGIP 2014) (Vol. 9443, p. 94432G). International Society for Optics and Photonics.
  13. Ghanbarpour, A., & Minaei, B. (2014). EXDBSCAN: An extension of DBSCAN to detect clusters in multi-density datasets. In Intelligent Systems (ICIS), 2014 Iranian Conference on (pp. 1–5). IEEE.
  14. Khallash, M., Hadian, A., & Minaei-Bidgoli, B. (2013). An empirical study on the effect of morphological and lexical features in Persian dependency parsing. In Proceedings of the Fourth Workshop on Statistical Parsing of Morphologically-Rich Languages (pp. 97–107).
  15. Elahimanesh, M. H., Minaei-Bidgoli, B., & Kermani, F. (2013). ACUT: An Associative Classifier Approach to Unknown Word POS Tagging. In International Symposium on Artificial Intelligence and Signal Processing (pp. 250–263). Springer, Cham.
  16. Bidhend, M., Minaei-Bidgoli, B., & Jouzi, H. (2012). Extracting person names from ancient Islamic Arabic texts. In Proceedings of Language Resources and Evaluation for Religious Texts (LRE-Rel) Workshop Programme, Eight International Conference on Language Resources and Evaluation (LREC 2012) (pp. 1–6).
  17. Zeinalpour-Tabrizi, Z., & Minaei-Bidgoli, B. (2012). Intelligent Decision Making Process for an Attack in RTS Games. In Third International Conference on Advances in Computer Engineering, Amsterdam, The Netherlands.
  18. Nasiri, M., & Minaei, B. (2012). Predicting GPA and academic dismissal in LMS using educational data mining: A case mining. In E-Learning and E-Teaching (ICELET), 2012 Third International Conference on (pp. 53–58). IEEE.
  19. Sheykholeslam, M. H., Minaei-Bidgoli, B., & Juzi, H. (2012). A Framework for Spelling Correction in Persian Language Using Noisy Channel Model. In LREC (pp. 706–710).
  20. Parvin, H., Mohamadi, M., Parvin, S., Rezaei, Z., & Minaei, B. (2012). Nearest cluster classifier. In International Conference on Hybrid Artificial Intelligence Systems (pp. 267–275). Springer, Berlin, Heidelberg.
  21. Elahimanesh, M. H., Minaei, B., & Malekinezhad, H. (2012). Improving K-Nearest Neighbor Efficacy for Farsi Text Classification. In LREC (pp. 1618–1621).
  22. Arasteh, A., Elahimanesh, M. H., Sharif, A., & Minaei-Bidgoli, B. (2012). Semantically Clustering of Persian Words. In The first internationasl conference on persian text and speech, Semnan, Iran.
  23. Parvin, H., Minaei-Bidgoli, B., & Beigi, A. (2011). A new classifier ensembles framework. In International Conference on Knowledge-Based and Intelligent Information and Engineering Systems (pp. 110–119). Springer, Berlin, Heidelberg.
  24. Parvin, H., Minaei, B., Alizadeh, H., & Beigi, A. (2011). A novel classifier ensemble method based on class weightening in huge dataset. In International Symposium on Neural Networks (pp. 144–150). Springer, Berlin, Heidelberg.
  25. Parvin, H., Minaei, B., & Alizadeh, H. (2011). A heuristic classifier ensemble for huge datasets. In International Conference on Active Media Technology (pp. 29–38). Springer, Berlin, Heidelberg.
  26. Parvin, H., Minaei, B., & Alizadeh, H. (2011). A new adaptive framework for classifier ensemble in multiclass large data. In International Conference on Computational Science and Its Applications (pp. 526–536). Springer, Berlin, Heidelberg.
  27. Parvin, H., Minaei, B., Beigi, A., & Helmi, H. (2011). Classification ensemble by genetic algorithms. In International Conference on Adaptive and Natural Computing Algorithms (pp. 391–399). Springer, Berlin, Heidelberg.
  28. Parvin, H., Minaei, B., Karshenas, H., & Beigi, A. (2011). A new N-gram feature extraction-selection method for malicious code. In International Conference on Adaptive and Natural Computing Algorithms (pp. 98–107). Springer, Berlin, Heidelberg.
  29. Rasooli, M. S., Moloodi, A., Kouhestani, M., & Minaei-Bidgoli, B. (2011). A syntactic valency lexicon for Persian verbs: The first steps towards Persian dependency treebank. In 5th Language & Technology Conference (LTC): Human Language Technologies as a Challenge for Computer Science and Linguistics (pp. 227–231).
  30. Parvin, H., Minaei-Bidgoli, B., & Alizadeh, H. (2011). Detection of cancer patients using an innovative method for learning at imbalanced datasets. In International Conference on Rough Sets and Knowledge Technology (pp. 376–381). Springer, Berlin, Heidelberg.
  31. Parvin, H., Minaei-Bidgoli, B., & Ghaffarian, H. (2011). An innovative feature selection using fuzzy entropy. In International Symposium on Neural Networks (pp. 576–585). Springer, Berlin, Heidelberg.
  32. Fouladgar, H., Minaei-Bidgoli, B., & Parvin, H. (2011). On possibility of conditional invariant detection. In International Conference on Knowledge-Based and Intelligent Information and Engineering Systems (pp. 214–224). Springer, Berlin, Heidelberg.
  33. Parvin, H., & Minaei-Bidgoli, B. (2011). Linkage learning based on local optima. In International Conference on Computational Collective Intelligence (pp. 163–172). Springer, Berlin, Heidelberg.
  34. Parvin, H., Minaei-Bidgoli, B., & Alizadeh, H. (2011). Iranian cancer patient detection using a new method for learning at imbalanced datasets. In International Conference on Intelligent Data Engineering and Automated Learning (pp. 299–306). Springer, Berlin, Heidelberg.
  35. Parvin, H., Minaei-Bidgoli, B., & Shahpar, H. (2011). Classifier selection by clustering. In Mexican Conference on Pattern Recognition (pp. 60–66). Springer, Berlin, Heidelberg.
  36. Rasooli, M. S., Kahefi, O., & Minaei-Bidgoli, B. (2011). Effect of adaptive spell checking in Persian. In Natural Language Processing andKnowledge Engineering (NLP-KE), 2011 7th International Conference on (pp. 161–164). IEEE.
  37. Parvin, H., Minaei-Bidgoli, B., & Dahbashi, A. (2011). Improving persian text classification using persian thesaurus. In Iberoamerican Congress on Pattern Recognition (pp. 391–398). Springer, Berlin, Heidelberg.
  38. Parvin, H., Minaei-Bidgoli, B., & Alizadeh, H. (2011). A new clustering algorithm with the convergence proof. In International Conference on Knowledge-Based and Intelligent Information and Engineering Systems (pp. 21–31). Springer, Berlin, Heidelberg.
  39. Alizadeh, H., Minaei-Bidgoli, B., & Parvin, H. (2011). A new asymmetric criterion for cluster validation. In Iberoamerican Congress on Pattern Recognition (pp. 320–330). Springer, Berlin, Heidelberg.
  40. Rasooli, M. S., Kashefi, O., & Minaei-Bidgoli, B. (2011). Extracting parallel paragraphs and sentences from english-persian translated documents. In Asia Information Retrieval Symposium (pp. 574–583). Springer, Berlin, Heidelberg.
  41. Minaei-Bidgoli, B., Esmaeili, L., & Nasiri, M. (2011). Comparison of group recommendation techniques in social networks. In Computer and Knowledge Engineering (ICCKE), 2011 1st International eConference on (pp. 236–241). IEEE.
  42. Fouladgar, M., Minaei-Bidgoli, B., & Parvin, H. (2011). Enriching dynamically detected invariants in the case of arrays. In International Conference on Computational Science and Its Applications (pp. 622–632). Springer, Berlin, Heidelberg.
  43. Rasooli, M. S., Faili, H., & Minaei-Bidgoli, B. (2011). Unsupervised identification of Persian compound verbs. In Mexican International Conference on Artificial Intelligence (pp. 394–406). Springer, Berlin, Heidelberg.
  44. Parvin, H., Minaei, B., & Parvin, S. (2011). A metric to evaluate a cluster by eliminating effect of complement cluster. In Annual Conference on Artificial Intelligence (pp. 246–254). Springer, Berlin, Heidelberg.
  45. Esmaeili, L., Nasiri, M., & Minaei-Bidgoli, B. (2011). Personalizing group recommendation to social network users. In International Conference on Web Information Systems and Mining (pp. 124–133). Springer, Berlin, Heidelberg.
  46. Daryabari, M., Minaei-Bidgoli, B., & Parvin, H. (2011). Localizing program logical errors using extraction of knowledge from invariants. In International Symposium on Experimental Algorithms (pp. 124–135). Springer, Berlin, Heidelberg.
  47. Parvin, H., Minaei-Bidgoli, B., & Parvin, S. (2011). An accumulative points/votes based approach for feature selection. In Iberoamerican Congress on Pattern Recognition (pp. 399–408). Springer, Berlin, Heidelberg.
  48. Parvin, H., Minaei-Bidgoli, B., & Parvin, S. (2011). A scalable heuristic classifier for huge datasets: a theoretical approach. In Iberoamerican Congress on Pattern Recognition (pp. 380–390). Springer, Berlin, Heidelberg.
  49. Parsa, S., Minaei, B., Daryabari, M., & Parvin, H. (2011). New efficient techniques for dynamic detection of likely invariants. In International Conference on Adaptive and Natural Computing Algorithms (pp. 381–390). Springer, Berlin, Heidelberg.
  50. Rastegar-Mojarad, M., Talatian-Azad, S., & Minaei-Bidgoli, B. (2010). A survey on biological data analysis by biclustering. In Educational and Information Technology (ICEIT), 2010 International Conference on (Vol. 1, pp. V1–100). IEEE.
  51. Ghaderzadeh, A., & Minaei-Bidgoli, B. (2010). Tuning Topical Query Classification in Large Search Engines to Understand Hidden User Information Need. In DMIN (pp. 65–70).
  52. Mohseni, M., & Minaei-Bidgoli, B. (2010). A Persian Part-Of-Speech Tagger Based on Morphological Analysis. In LREC.
  53. Beigi, A., Parvin, H., Mozayani, N., & Minaei, B. (2010). Improving reinforcement learning agents using genetic algorithms. In International Conference on Active Media Technology (pp. 330–337). Springer, Berlin, Heidelberg.
  54. Koopaei, M., & Minaei-Bidgoli, B. (2009). A new method for ranking changes in customer’s behavioral patterns in department stores. In Proceedings of the 11th International Conference on Electronic Commerce (pp. 317–322). ACM.
  55. Parvin, H., Alizadeh, H., & Minaei-Bidgoli, B. (2009). Validation Based Modified K-Nearest Neighbor. In AIP Conference Proceedings (Vol. 1127, pp. 153–161). AIP.
  56. Entezari-Maleki, R., Iranmanesh, S. M., & Minaei-Bidgoli, B. (2009). An experimental investigation of the effect of discrete attributes on the precision of classification methods. In Information and Communication Technologies, 2009. ICICT’09. International Conference on (pp. 215–220). IEEE.
  57. Kardan, N., & Minaei-Bidgoli, B. (2009). A Novel Fuzzy Rule-Based Classification System Based on Classifier Selection Strategy. In Computational Intelligence and Software Engineering, 2009. CiSE 2009. International Conference on (pp. 1–4). IEEE.
  58. Parsa, S., Vahidi-Asl, M., Arabi, S., & Minaei-Bidgoli, B. (2009). Software fault localization using elastic net: A new statistical approach. In International Conference on Advanced Software Engineering and Its Applications (pp. 127–134). Springer, Berlin, Heidelberg.
  59. Ghaemian, N., Sharifi, M., Minaei, B., & Orujov, R. (2009). An algorithmic incremental and iterative development method to parallelize dusty-deck FORTRAN HPC codes in GPGPUs using CUDA. In Application of Information and Communication Technologies, 2009. AICT 2009. International Conference on (pp. 1–7). IEEE.
  60. Ghaffarian, H., Parvin, H., & Minaei, B. (2009). A new approach in feature subset selection based on fuzzy entropy concept. In Computer Conference, 2009. CSICC 2009. 14th International CSI (pp. 60–64). IEEE.
  61. Jalali, L., Nasiri, M., & Minaei, B. (2009). A hybrid feature selection method based on fuzzy feature selection and consistency measures. In Intelligent Computing and Intelligent Systems, 2009. ICIS 2009. IEEE International Conference on (Vol. 1, pp. 718–722). IEEE.
  62. Rastegar-Mojarad, M., & Minaei-Bidgoli, B. (2009). MRC: Multi Relational Clustering approach. In DMIN (pp. 84–89).
  63. Parsa, S., Vahidi-Asl, M., Naree, S. A., & Minaei-Bidgoli, B. (2009). Statistical software debugging: From bug predictors to the main causes of failure. In Applications of Digital Information and Web Technologies, 2009. ICADIWT’09. Second International Conference on the (pp. 802–807). IEEE.
  64. Shokrollahi-Far, M., Minaei, B., Barzegar, I., Hossein-Zadeh, H., Ghasdi, M., & Hoseini, S. (2009). Bootstrapping tagged islamic corpora. In Proceedings of 2nd International Conference on Arabic Language Resources and Tools.
  65. Parvin, H., Alizadeh, H., Moshki, M., Minaei-Bidgoli, B., & Mozayani, N. (2008). Divide & conquer classification and optimization by genetic algorithm. In Convergence and Hybrid Information Technology, 2008. ICCIT’08. Third International Conference on (Vol. 2, pp. 858–863). IEEE.
  66. Lajevardi, S. B., & Minaei-Bidgoli, B. (2008). Combination of Time Series, Decision Tree and Clustering: A Case Study in Aerology Event Prediction. In Computer and Electrical Engineering, 2008. ICCEE 2008. International Conference on (pp. 111–115). IEEE.
  67. Parvin, H., Alizadeh, H., Minaei-Bidgoli, B., & Analoui, M. (2008). CCHR: combination of classifiers using heuristic retraining. In Networked Computing and Advanced Information Management, 2008. NCM’08. Fourth International Conference on (Vol. 2, pp. 302–305). IEEE.
  68. Alizadeh, H., Parvin, H., Minaei-Bidgoli, B., & Mozayani, N. (2008). CSMD: Centralized Surface Matching Degree, a New Approach for Determining Matching Degree in Fuzzy Systems. In Networked Computing and Advanced Information Management, 2008. NCM’08. Fourth International Conference on (Vol. 2, pp. 339–344). IEEE.
  69. Lajevardi, S. B., & Minaei-Bidgoli, B. (2008). Comparison between ANN and Decision Tree in Aerology Event Prediction. In Advanced Computer Theory and Engineering, 2008. ICACTE’08. International Conference on (pp. 533–537). IEEE.
  70. Parvin, H., Alizadeh, H., Fathy, M., & Minaei-Bidgoli, B. (2008). Improved Face Detection Using Spatial Histogram Features. In IPCV (pp. 381–386).
  71. Parvin, H., Alizadeh, H., & Minaei-Bidgoli, B. (2008). A new approach to improve the vote-based classifier selection. In Networked Computing and Advanced Information Management, 2008. NCM’08. Fourth International Conference on (Vol. 2, pp. 91–95). IEEE.
  72. Mohseni, M., Motalebi, H., Minaei-Bidgoli, B., & Shokrollahi-far, M. (2008). A Farsi part-of-speech tagger based on Markov model. In Proceedings of the 2008 ACM symposium on Applied computing (pp. 1588–1589). ACM.
  73. Zamanifar, A., Minaei-Bidgoli, B., & Sharifi, M. (2008). A new hybrid farsi text summarization technique based on term co-occurrence and conceptual property of the text. In Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing, 2008. SNPD’08. Ninth ACIS International Conference on (pp. 635–639). IEEE.
  74. Minaei-Bidgoli, B., & Lajevardi, S. B. (2008). Correlation mining between time series stream and event stream. In Proceedings of the 2008 Fourth International Conference on Networked Computing and Advanced Information Management-Volume 02 (pp. 333–338). IEEE Computer Society.
  75. Minaei-Bidgoli, B., & Rafati, L. (2008). Business Service Modeling in Service-Oriented Enterprises. In Networked Computing and Advanced Information Management, 2008. NCM’08. Fourth International Conference on (Vol. 2, pp. 296–301). IEEE.
  76. Fakouri, R., Zamani, B., Fathy, M., & Minaei, B. (2008). Region-based image clustering and retrieval using fuzzy similarity and relevance feedback. In Computer and Electrical Engineering, 2008. ICCEE 2008. International Conference on (pp. 383–387). IEEE.
  77. Jalalvand, A., Minaei, B., Atabaki, G., & Jalalvand, S. (2008). A new interestingness measure for associative rules based on the geometric context. In Convergence and Hybrid Information Technology, 2008. ICCIT’08. Third International Conference on (Vol. 2, pp. 199–203). IEEE.
  78. Parvin, H., Alizadeh, H., & Minaei-Bidgoli, B. (2008). MKNN: Modified k-nearest neighbor. In Proceedings of the World Congress on Engineering and Computer Science (Vol. 1). Citeseer.
  79. Mohammadi, M., Alizadeh, H., & Minaei-Bidgoli, B. (2008). Neural network ensembles using clustering ensemble and genetic algorithm. In Convergence and Hybrid Information Technology, 2008. ICCIT’08. Third International Conference on (Vol. 2, pp. 761–766). IEEE.
  80. Zamanifar, A., Minaei-Bidgoli, B., & Kashefi, O. (2008). A new technique for detecting similar documents based on term co-occurrence and conceptual property of the text. In Digital Information Management, 2008. ICDIM 2008. Third International Conference on (pp. 526–531). IEEE.
  81. Parvin, H., Alizadeh, H., Minaei-Bidgoli, B., & Analoui, M. (2008). A scalable method for improving the performance of classifiers in multiclass applications by pairwise classifiers and GA. In Networked Computing and Advanced Information Management, 2008. NCM’08. Fourth International Conference on (Vol. 2, pp. 137–142). IEEE.
  82. Davari, M. R., Gahahremani, F., Kazempour, B., & Minaei, B. (2008). Making Use of Data Mining for Presenting Behavior Model of Airline Agencies Ticketing in the supply chain of airline companies. In 2nd International Conference on Inductive Modelling (p. 185).
  83. Kazempour, B., Davari, M. R., Gahahremani, F., & Minaei, B. (2008). Application of Data mining in the Specifying the Ongoing Rate of RevenueRise in Over-Flight Field. In 2nd International Conference on Inductive Modelling (p. 197).
  84. Fadaeieslam, M. J., Minaei-Bidgoli, B., Fathy, M., & Soryani, M. (2007). Comparison of two feature selection methods in intrusion detection systems. In Computer and Information Technology, 2007. CIT 2007. 7th IEEE International Conference on (pp. 83–86). IEEE.
  85. Hamraz, S. H., Minaei-Bidgoli, B., & Punch, W. F. (2007). VWM: An Improvement to Multiagent Coordination in Highly Dynamic Environments. In German Conference on Multiagent System Technologies (pp. 98–108). Springer, Berlin, Heidelberg.
  86. Vahidipour, M., & Minaei-Bidgoli, B. (2006). Using Multi-objective Optimization for Automated Graph Drawing. In IC-AI (pp. 217–223).
  87. Mohseni, M., & Minaei, B. (2006). An Efficient Hybrid Fuzzy Clustering Method. In Semantic Media Adaptation and Personalization, 2006. SMAP’06. First International Workshop on (pp. 43–48). IEEE.
  88. Topchy, A., Minaei-Bidgoli, B., Jain, A. K., & Punch, W. F. (2004). Adaptive clustering ensembles. In Pattern Recognition, 2004. ICPR 2004. Proceedings of the 17th International Conference on (Vol. 1, pp. 272–275). IEEE.
  89. Minaei-Bidgoli, B., Kortemeyer, G., & Punch, W. (2004). Association analysis for an online education system. In Information Reuse and Integration, 2004. IRI 2004. Proceedings of the 2004 IEEE International Conference on (pp. 504–509). IEEE.
  90. Minaei-Bidgoli, B., Kortemeyer, G., & Punch, W. F. (2004). Mining feature importance: Applying evolutionary algorithms within a web-based educational system. In Proc. of the Int. Conf. on Cybernetics and Information Technologies, Systems and Applications, CITSA.
  91. Minaei-Bidgoli, B., Topchy, A., & Punch, W. F. (2004). Ensembles of partitions via data resampling. In Information Technology: Coding and Computing, 2004. Proceedings. ITCC 2004. International Conference on (Vol. 2, pp. 188–192). IEEE.
  92. Minaei-Bidgoli, B., Kortemeyer, G., & Punch, W. F. (2004). Optimizing classification ensembles via a genetic algorithm for a web-based educational system. In Joint IAPR International Workshops on Statistical Techniques in Pattern Recognition (SPR) and Structural and Syntactic Pattern Recognition (SSPR) (pp. 397–406). Springer, Berlin, Heidelberg.
  93. Minaei-Bidgoli, B., Tan, P.-N., & Punch, W. F. (2004). Mining interesting contrast rules for a web-based educational system. In machine learning and applications, 2004. Proceedings. 2004 International Conference on (pp. 320–327). IEEE.
  94. Minaei-Bidgoli, B., Topchy, A. P., & Punch, W. F. (2004). A Comparison of Resampling Methods for Clustering Ensembles. In IC-AI (pp. 939–945).
  95. Minaei, B., Kortemeyer, G., & Punch, B. (2004). Association analysis for an online education system. In IEEE International Conference on Information Reuse and Integration (IRI-2004), Las Vegas, Nevada, USA.
  96. Minaei, B., & Bidgoli, D. A. K. (2003). GerdKortemeyer and William F. Punch.“Predicting student performance: An Application of data mining methods with the educational web based system LON–CAPA”, 33rd ASEE. In IEEE Frontiers in Education Conference (pp. 0–7803).
  97. Minaei-Bidgoli, B., Kashy, D. A., Kortemeyer, G., & Punch, W. F. (2003). Predicting student performance: an application of data mining methods with an educational web-based system. In Frontiers in education, 2003. FIE 2003 33rd annual (Vol. 1, pp. T2A–13). IEEE.
  98. Minaei-Bidgoli, B., & Punch, W. F. (2003). Using genetic algorithms for data mining optimization in an educational web-based system. In Genetic and evolutionary computation conference (pp. 2252–2263). Springer, Berlin, Heidelberg.
  99. Juzi, H., Zadeh, A. R., Barati, E., & Minaei-Bidgoli, B. A new framework for detecting similar texts in Islamic Hadith Corpora. In Workshop Organizers (p. 38).
  100. Elahimanesh, M. H., Minaei-Bidgoli, B., & Malekinezhad, H. Automatic classification of Islamic Jurisprudence Categories. In Workshop Organizers (p. 25).
  101. Shahmohammadi, M., Alizadeh, T., Bijani, M. H., & Minaei, B. A framework for detecting Holy Quran inside Arabic and Persian texts. In Workshop Organizers (p. 71).
  102. Vahidipour, S. M., & Minaei, B. Using Genetic Algorithms for multi-objective automated Graph Drawing. In The 2006 international conference on Artificial Intelligence (ICAI’06) (Vol. 1).
  103. Alizadeh, H., Amirgholipour, S. K., Seyedaghaee, N. R., & Minaei-Bidgoli, B. Using Clustering Ensemble in Classification Problems. In Fourth Int. Conf. on Intelligent Computing and Information Systems (ICICIS09) (pp. 19–22).

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