Behrouz Minaei

Behrouz Minaei

Professor
Computer Engineering Dept
IUST

Publications

Journal Articles

  1. Monahhed, S., Sefiddashti, S. E., Minaei, B., & Shahali, Z. (2023). K-means clustering of outpatient prescription claims for health insured in Iran.
  2. Nilashi, M., Abumalloh, R. A., Samad, S., Minaei-Bidgoli, B., Thi, H. H., Alghamdi, O. A., Ismail, M. Y., & Ahmadi, H. (2023). The impact of multi-criteria ratings in social networking sites on the performance of online recommendation agents. Telematics and Informatics, 76, 101919.
  3. Sajjadi, Z. S., Esmaeili, M., Ghobaei-Arani, M., & Minaei-Bidgoli, B. (2023). A Hybrid Clustering Approach for link prediction in Heterogeneous Information Networks.
  4. Momahhed, S. S., Emamgholipour Sefiddashti, S., Minaei, B., & Shahali, Z. (2023). K-means clustering of outpatient prescription claims for health insureds in Iran. BMC Public Health, 23(1), 1–15.
  5. Hadadian, S., Naji-Azimi, Z., Farimani, N. M., & Minaei-Bidgoli, B. (2023). Application of rule-based data mining in extracting the rules from the number of patients and climatic factors in instantaneous to long-term spectrum. International Journal of Data Mining, Modelling and Management, 15(1), 30–52.
  6. Aliyari, H., Golabi, S., Sahraei, H., Sahraei, M., Minaei-Bidgoli, B., Daliri, M. R., Hazrati, R., Tadayyoni, H., & Kazemi, M. (2023). Perceived Stress and Cfognition Function Quantification in a Scary Video Game: An Electroencephalogram Features and Biochemical Measures. Basic and Clinical Neuroscience, 14(2), 297–310.
  7. Torabian, N., Minaei-Bidgoli, B., & Jahanshahi, M. (2023). Farspredict: A benchmark dataset for link prediction. ArXiv Preprint ArXiv:2303.14647.
  8. Saheb-Nassagh, R., Ashtiani, M., & Minaei-Bidgoli, B. (2022). A probabilistic-based approach for automatic identification and refactoring of software code smells. Applied Soft Computing, 130, 109658.
  9. Minaei Bidgoli, B., Parvin, H., Mirzarezaee, M., Keshavarz, A., & others. (2022). An Ontological Hybrid Recommender System for Dealing with Cold Start Problem. Signal and Data Processing, 19(1), 1–18.
  10. Abdous, M., & Minaei Bidgoli, B. (2022). Semantic Textual Similarity of Persian-English sentences using deep learning. Journal of Soft Computing and Information Technology, 11(1), 18–31.
  11. Minaei, B., Parvin, H., Mirzarezaee, M., & Keshavarz, A. (2022). A New WordNet Enriched Content-Collaborative Recommender System. Signal and Data Processing, 18(4), 89–124.
  12. Sorkhi, M., Jahed-Motlagh, M. R., Minaei-Bidgoli, B., & Daliri, M. R. (2022). Hybrid fuzzy deep neural network toward temporal-spatial-frequency features learning of motor imagery signals. Scientific Reports, 12(1), 22334.
  13. Bahrani, P., Minaei Bidgoli, B., Parvin, H., Mirzarezaee, M., & Keshavarz, A. (2022). Hybrid Recommender System Based on Variance Item Rating. Signal and Data Processing, 19(3), 147–162.
  14. Elahimanesh, M. H., Irani, M., Ghafouri, A., & Minaei-Bidgoli, B. (2022). An unsupervised approach for bilingual Arabic and Persian spell correction using N-gram based Language models.
  15. Ataei, T. S., Darvishi, K., Javdan, S., Pourdabiri, A., Minaei-Bidgoli, B., & Pilehvar, M. T. (2022). Pars-OFF: A Benchmark for Offensive Language Detection on Farsi Social Media. IEEE Transactions on Affective Computing.
  16. Sorkhi, M., Jahed-Motlagh, M. R., Minaei-Bidgoli, B., & Reza Daliri, M. (2022). Learning temporal-frequency features of physionet EEG signals using deep convolutional neural network. International Journal of Modern Physics C, 2350047.
  17. Aliyari, H., Golabi, S., Sahraei, H., Daliri, M. R., Minaei-Bidgoli, B., Tadayyoni, H., & Kazemi, M. (2022). Evaluation of Stress and Cognition Indicators in a Puzzle Game: Neuropsychological, Biochemical and Electrophysiological Approaches. Archives of Razi Institute, 77(4), 1405–1411.
  18. Rabiei, M., MahdiHosseini-Motlagh, S.-M., & Minaei Bidgoli, B. (2022). Using one-class SVM for scientific documents classification case study: Iranian environmental thesis. Iranian Journal of Information Processing and Management, 34(3), 1211–1234.
  19. Taherinia, M., Esmaeili, M., & Minaei-Bidgoli, B. (2022). A high-performance algorithm for finding influential nodes in large-scale social networks. The Journal of Supercomputing, 78(14), 15905–15952.
  20. Naghibi, M., Anvari, R., Forghani, A., & Minaei, B. (2022). Online learning agents for cost-sensitive topical data acquisition from the web. Intelligent Data Analysis, 26(3), 695–722.
  21. Nilashi, M., Minaei-Bidgoli, B., Alghamdi, A., Alrizq, M., Alghamdi, O., Nayer, F. K., Aljehane, N. O., Khosravi, A., & Mohd, S. (2022). Knowledge discovery for course choice decision in Massive Open Online Courses using machine learning approaches. Expert Systems with Applications, 199, 117092.
  22. Minaei, B., Parvin, H., Mirzarezaee, M., & Keshavarz, A. (2022). The introduction of a new ensemble clustering method based on valid and diverse base clustering. Signal and Data Processing, 18(4), 89–124.
  23. Ahmadi, N., Nilashi, M., Minaei-Bidgoli, B., Farooque, M., Samad, S., Aljehane, N. O., Zogaan, W. A., & Ahmadi, H. (2022). Eye State Identification Utilizing EEG Signals: A Combined Method Using Self-Organizing Map and Deep Belief Network. Scientific Programming, 2022.
  24. Kamali, D., Janfada, B., Shenasa, M. E., & Minaei-Bidgoli, B. (2022). Evaluating Persian Tokenizers. ArXiv Preprint ArXiv:2202.10879.
  25. Ahangaran, M., Chiò, A., D’Ovidio, F., Manera, U., Vasta, R., Canosa, A., Moglia, C., Calvo, A., Minaei-Bidgoli, B., & Jahed-Motlagh, M.-R. (2022). Causal associations of genetic factors with clinical progression in amyotrophic lateral sclerosis. Computer Methods and Programs in Biomedicine, 216, 106681.
  26. Nilashi, M., Abumalloh, R. A., Minaei-Bidgoli, B., Samad, S., Yousoof Ismail, M., Alhargan, A., & Abdu Zogaan, W. (2022). Predicting parkinson’s disease progression: Evaluation of ensemble methods in machine learning. Journal of Healthcare Engineering, 2022.
  27. Amoozegar, M., Minaei-Bidgoli, B., Fanee, H., & Rezghi, M. (2022). A Drift-Aware Online Learner for Anomaly Detection from Streaming Data. Computational Intelligence in Electrical Engineering, 13(4), 1–14.
  28. Taherinia, M., Esmaeili, M., & Minaei Bidgoli, B. (2022). Optimizing CELF Algorithm for Influence Maximization Problem in Social Networks. Journal of AI and Data Mining, 10(1), 25–41.
  29. Niknam, M., Minaei-Bidgoli, B., & Dianat, R. (2022). The role of transitive closure in evaluating blocking methods for dirty entity resolution. Journal of Intelligent Information Systems, 1–30.
  30. Shenassa, M. E., & Minaei-Bidgoli, B. (2022). ElmNet: a benchmark dataset for generating headlines from Persian papers. Multimedia Tools and Applications, 1–14.
  31. Nilashi, M., Abumalloh, R. A., Minaei-Bidgoli, B., Zogaan, W. A., Alhargan, A., Mohd, S., Azhar, S. N. F. S., Asadi, S., & Samad, S. (2022). Revealing travellers’ satisfaction during COVID-19 outbreak: moderating role of service quality. Journal of Retailing and Consumer Services, 64, 102783.
  32. Sajadi, M. B., & Minaei Bidgoli, B. (2022). The Architecture of Farsi Knowledge Graph System. Iranian Journal of Information Processing and Management, 35(2), 425–462.
  33. Saeedizade, M. J., Torabian, N., & Minaei-Bidgoli, B. (2021). KGRefiner: Knowledge Graph Refinement for Improving Accuracy of Translational Link Prediction Methods. ArXiv Preprint ArXiv:2106.14233.
  34. Khalilinezhad, S., Fazlollahtabar, H., Minaei-Bidgoli, B., & Eslami Nosratabadi, H. (2021). Detecting Valuable Customers Using the Trade Patterns of Financial Transactions Applying Integrated RFM and OLAP. Int. J. Ind. Eng. Prod. Res, 32, 1–15.
  35. Javad Saeedizade, M., Torabian, N., & Minaei-Bidgoli, B. (2021). KGRefiner: Knowledge Graph Refinement for Improving Accuracy of Translational Link Prediction Methods. ArXiv e-Prints, arXiv–2106.
  36. Akafan, M., Minaei, B., & Bagheri, A. (2021). Identifying overlapping communities using multi-agent collective intelligence. Signal and Data Processing, 18(1), 74–61.
  37. Aliyari, H., Sahraei, H., Golabi, S., Kazemi, M., Minaei-Bidgoli, B., Daliri, M. R., Agaei, H., Dehghanimohammadabadi, Z., & Hadipoor, M. (2021). Fear stress in computer games caused brain waves, oxytocin and brain-derived neurotrophic factor changes among woman. Physiology and Pharmacology, 25(1), 92–98.
  38. Nilashi, M., Samad, S., Minaei-Bidgoli, B., Ghabban, F., & Supriyanto‬, E. (2021). Online reviews analysis for customer segmentation through dimensionality reduction and deep learning techniques. Arabian Journal for Science and Engineering, 46(9), 8697–8709.
  39. Alizadeh-Q, Y., Minaei-Bidgoli, B., Hossayni, S.-A., Akbarzadeh-T, M.-R., Recupero, D. R., Rajati, M.-R., & Gangemi, A. (2021). Interval Probabilistic Fuzzy WordNet. ArXiv Preprint ArXiv:2104.10660.
  40. Nilashi, M., Asadi, S., Minaei-Bidgoli, B., Abumalloh, R. A., Samad, S., Ghabban, F., & Ahani, A. (2021). Recommendation agents and information sharing through social media for coronavirus outbreak. Telematics and Informatics, 61, 101597.
  41. Asgari-Bidhendi, M., Janfada, B., Roshani Talab, O. R., & Minaei-Bidgoli, B. (2021). ParsNER-Social: A Corpus for Named Entity Recognition in Persian Social Media Texts. Journal of AI and Data Mining, 9(2), 181–192.
  42. Aryabarzan, N., & Minaei-Bidgoli, B. (2021). Neclatclosed: A vertical algorithm for mining frequent closed itemsets. Expert Systems with Applications, 174, 114738.
  43. Asgari-Bidhendi, M., Janfada, B., Havangi, A., Hossayni, S. A., & Minaei-Bidgoli, B. (2021). An unsupervised language-independent entity disambiguation method and its evaluation on the english and persian languages. ArXiv Preprint ArXiv:2102.00395.
  44. Chen, Z., Bagherinia, A., Minaei-Bidgoli, B., Parvin, H., & Pho, K.-H. (2021). Fuzzy Clustering Ensemble Considering Cluster Dependability. International Journal on Artificial Intelligence Tools, 30(02), 2150007.
  45. Aryabarzan, N., & Minaei-Bidgoli, B. (2021). A Novel Pruning Strategy for Mining Discriminative Patterns. Iranian Journal of Science and Technology, Transactions of Electrical Engineering, 45(2), 505–527.
  46. Rajabi, M., Ashtiani, M., Minaei Bidgoli, B., & Davoodi, O. (2021). A dynamic balanced level generator for video games based on deep convolutional generative adversarial networks. Scientia Iranica, 28(Special issue on collective behavior of nonlinear dynamical networks), 1497–1514.
  47. Aliyari, H., Sahraei, H., Golabi, S., Kazemi, M., Daliri, M. R., & Minaei-Bidgoli, B. (2021). The effect of brain teaser games on the attention of players based on hormonal and brain signals changes. Basic and Clinical Neuroscience, 12(5), 587.
  48. Nasser, M., Sajadi, M. B., & Minaei-Bidgoli, B. (2021). A Sample-Based Training Method for Distantly Supervised Relation Extraction with Pre-Trained Transformers. ArXiv Preprint ArXiv:2104.07512.
  49. Asgari-Bidhendi, M., Nasser, M., Janfada, B., & Minaei-Bidgoli, B. (2021). Perlex: A bilingual persian-english gold dataset for relation extraction. Scientific Programming, 2021, 1–8.
  50. Asgari-Bidhendi, M., Janfada, B., & Minaei-Bidgoli, B. (2021). FarsBase-KBP: A knowledge base population system for the Persian Knowledge Graph. Journal of Web Semantics, 68, 100638.
  51. Faghihi Nezhad, M. T., & Minaei Bidgoli, B. (2021). Development of an ensemble learning-based intelligent model for stock market forecasting. Scientia Iranica, 28(1), 395–411.
  52. Bagherinia, A., Minaei-Bidgoli, B., Hosseinzadeh, M., & Parvin, H. (2021). Reliability-based fuzzy clustering ensemble. Fuzzy Sets and Systems, 413, 1–28.
  53. Rabiei, M., Hosseini-Motlagh, S.-M., Haeri, A., & Minaei Bidgoli, B. (2021). Evolution of IT, management and industrial engineering research: A topic model approach. Scientia Iranica, 28(3), 1830–1852.
  54. Abumalloh, R. A., Asadi, S., Nilashi, M., Minaei-Bidgoli, B., Nayer, F. K., Samad, S., Mohd, S., & Ibrahim, O. (2021). The impact of coronavirus pandemic (COVID-19) on education: The role of virtual and remote laboratories in education. Technology in Society, 67, 101728.
  55. Almaspoor, M. H., Safaei, A., Salajegheh, A., & Minaei-Bidgoli, B. (2021). Support Vector Machines in Big Data Classification: A Systematic Literature Review.
  56. Ahmadzadeh, M., Vahidi, J., Minaei Bidgoli, B., & Pourebrahimi, A. (2021). An incremental intrusion detection model using alarms correlation. International Journal of Nonlinear Analysis and Applications, 12, 541–562.
  57. Nilashi, M., Minaei-Bidgoli, B., Alrizq, M., Alghamdi, A., Alsulami, A. A., Samad, S., & Mohd, S. (2021). An analytical approach for big social data analysis for customer decision-making in eco-friendly hotels. Expert Systems with Applications, 186, 115722.
  58. Nilashi, M., Abumalloh, R. A., Alghamdi, A., Minaei-Bidgoli, B., Alsulami, A. A., Thanoon, M., Asadi, S., & Samad, S. (2021). What is the impact of service quality on customers’ satisfaction during COVID-19 outbreak? New findings from online reviews analysis. Telematics and Informatics, 64, 101693.
  59. Ahangaran, M., Jahed-Motlagh, M. R., & Minaei-Bidgoli, B. (2020). A novel method for predicting the progression rate of ALS disease based on automatic generation of probabilistic causal chains. Artificial Intelligence in Medicine, 107, 101879.
  60. Aliyari, H., Sahraei, H., Erfani, M., Mohammadi, M., Kazemi, M., Daliri, M. R., Minaei-Bidgoli, B., Agaei, H., Sahraei, M., Hosseini, S. M. A. S., & others. (2020). Changes in cognitive functions following violent and football video games in young male volunteers by studying brain waves. Basic and Clinical Neuroscience, 11(3), 279.
  61. Asgari-Bidhendi, M., Fakhrian, F., & Minaei-Bidgoli, B. (2020). A Graph-based Approach for Persian Entity Linking. International Journal of Information and Communication Technology Research, 12(4), 60–69.
  62. Samizadeh, M., & Minaei-Bidgoli, B. (2020). Drug-target interaction prediction by Metapath2vec node embedding in heterogeneous network of interactions. International Journal on Artificial Intelligence Tools, 29(01), 2050001.
  63. Akafan, M., Minaei-Bidgoli, B., & Bagheri, A. (2020). Determining the Membership Percentage of Each Node in Overlapping Communities Using Multi-agent Collective Intelligence. Engineering Letters, 28(4).
  64. Zhao, C., Alizadeh, H., Minaei, B., Mohamadpoor, M., Parvin, H., & Mahmoudi, M. R. (2020). Social Network Optimization for Cluster Ensemble Selection. Fundamenta Informaticae, 176(1), 79–102.
  65. Zabihi, M., Minaei, B., & Nasiri, M. (2020). Smart Detection of Covert Worms in Computer Networks. Electronic and Cyber Defense, 7(4), 67–77.
  66. Naghibi, S. M., Anvari, R., Forghani, A., & Minaei, B. (2020). Cost-Sensitive Command and Control for Web Content Surveillance Using Autonomous Agents.
  67. Minaei-Bidgoli, B., & others. (2020). Corefrence resolution with deep learning in the Persian Labnguage. Signal and Data Processing, 17(2), 138–121.
  68. Bahrani, P., Minaei-Bidgoli, B., Parvin, H., Mirzarezaee, M., Keshavarz, A., & Alinejad-Rokny, H. (2020). User and item profile expansion for dealing with cold start problem. Journal of Intelligent & Fuzzy Systems, 38(4), 4471–4483.
  69. Saheb, N. R., ASGARI, M. A. J. I. D., & MINAEI, B. I. D. G. O. L. I. B. E. H. R. O. U. Z. (2020). RePersian: An Efficient Open Information Extraction Tool in Persian.
  70. Okhovvat, M., Sharifi, M., & Minaei-Bidgoli, B. (2020). An Accurate Persian Part-of-Speech Tagger. Comput. Syst. Sci. Eng., 35(6), 423–430.
  71. Hadadian, S., Naji Azimi, Z., Motahari Farimani, N., & Minaei Bidgoli, B. (2020). Rule Mining about the Relationship between Climatic Factors and the Number of Patients in a Hospital Using Classification Based on Multidimensional Association Rule Mining. Industrial Management Journal, 11(4), 575–599.
  72. Rahman, A., Nasir, M. K., Rahman, Z., Mosavi, A., Shahab, S., & Minaei-Bidgoli, B. (2020). Distblockbuilding: A distributed blockchain-based sdn-iot network for smart building management. IEEE Access, 8, 140008–140018.
  73. Javdan, S., Minaei-Bidgoli, B., & others. (2020). IUST at SemEval-2020 Task 9: sentiment analysis for code-mixed social media text using deep neural networks and linear baselines. ArXiv Preprint ArXiv:2007.12733.
  74. Moradi, R., Berangi, R., & Minaei, B. (2020). A survey of regularization strategies for deep models. Artificial Intelligence Review, 53, 3947–3986.
  75. Sahlani, H., Hourali, M., & Minaei-Bidgoli, B. (2020). Coreference resolution using semantic features and fully connected neural network in the Persian language. International Journal of Computational Intelligence Systems, 13(1), 1002–1013.
  76. Yousefnezhad, M., Reihanian, A., & Minaei-Bidgoli, B. (2020). Proposing a New Framework for Automation of Thresholding in Wisdom of Crowds Cluster Ensemble Selection. TABRIZ JOURNAL OF ELECTRICAL ENGINEERING, 50(1), 493–505.
  77. Amoozegar, M., Minaei-Bidgoli, B., Rezghi, M., & Fanaee-T, H. (2020). Extra-adaptive robust online subspace tracker for anomaly detection from streaming networks. Engineering Applications of Artificial Intelligence, 94, 103741.
  78. Rashno, E., Minaei-Bidgoli, B., & Guo, Y. (2020). An effective clustering method based on data indeterminacy in neutrosophic set domain. Engineering Applications of Artificial Intelligence, 89, 103411.
  79. Shangipour Ataei, T., Darvishi, K., Javdan, S., Minaei-Bidgoli, B., & Eetemadi, S. (2019). Pars-ABSA: an Aspect-based Sentiment Analysis dataset for Persian. ArXiv e-Prints, arXiv–1908.
  80. نقوی, نقوی, وحید, & مینایی. (2019). تحلیل رفتار کاربران برای بهبود پالایش دسترسی به سایت‌ها. فصلنامه علمی علوم و فناوریهای پدافند نوین, 1(2), 33–44.
  81. Asgari-Bidhendi, M., Hadian, A., & Minaei-Bidgoli, B. (2019). Farsbase: The persian knowledge graph. Semantic Web, 10(6), 1169–1196.
  82. Ahangaran, M., Jahed-Motlagh, M. R., & Minaei-Bidgoli, B. (2019). Causal discovery from sequential data in ALS disease based on entropy criteria. Journal of Biomedical Informatics, 89, 41–55.
  83. Moradi, R., Berangi, R., & Minaei, B. (2019). SparseMaps: convolutional networks with sparse feature maps for tiny image classification. Expert Systems with Applications, 119, 142–154.
  84. Bagherinia, A., Minaei-Bidgoli, B., Hossinzadeh, M., & Parvin, H. (2019). Elite fuzzy clustering ensemble based on clustering diversity and quality measures. Applied Intelligence, 49, 1724–1747.
  85. Ataei, T. S., Darvishi, K., Javdan, S., Minaei-Bidgoli, B., & Eetemadi, S. (2019). Pars-absa: an aspect-based sentiment analysis dataset for Persian. ArXiv Preprint ArXiv:1908.01815.
  86. Naghibi, M., Anvari, R., Forghani, A., & Minaei-Bidgoli, B. (2019). Cost-sensitive topical data acquisition from the web. International Journal of Data Mining & Knowledge Management Process (IJDKP) Vol, 9.
  87. Dehghanzadeh, H. O. J. J. A. T., & Minaei, B. (2019). A Framework for Identifying the Proper Mechanics of Computer Games for Teaching Cognitive Topics. Journal of Iranian Cultural Research, 12(1), 27–58.
  88. Pouramini, J., Minaei-Bidgoli, B., & Esmaeili, M. (2019). A Novel One Sided Feature Selection Method for Imbalanced Text Classification. Signal and Data Processing, 16(1), 21–40.
  89. Mesgari, I., Salamat, V. R., & Minaei-Bidgoli, B. (2019). Providing a new validation index to be used in interval type 2 fuzzy C-means (IT-2 FCM) algorithm. Journal of Operational Research In Its Applications (Applied Mathematics)-Lahijan Azad University, 15(4), 1–14.
  90. ASGARI, B. I. D. H. E. N. D. I. M. A. J. I. D., & MINAEI, B. I. D. G. O. L. I. B. E. H. R. O. U. Z. (2019). A MACHINE LEARNING APPROACH FOR NAMED ENTITY RECOGNITION IN PERSIAN.
  91. MEHRDADI, N. A. S. S. E. R., ASGARI, M. A. J. I. D., & MINAEI, B. I. D. G. O. L. I. B. E. H. R. O. U. Z. (2019). DISTANT SUPERVISION FOR RELATION EXTRACTION IN THE PERSIAN LANGUAGE USING PIECEWISE CONVOLUTIONAL NEURAL NETWORKS.
  92. ASGARI, B. I. D. H. E. N. D. I. M. A. J. I. D., & MINAEI, B. I. D. G. O. L. I. B. E. H. R. O. U. Z. (2019). UNSUPERVISED ENTITY LINKING IN PERSIAN SOCIAL MEDIA TEXTS.
  93. KESHVARI, F. I. N. I. P. A. R. V. I. N., JANFADA, B. E. H. R. O. O. Z., & MINAEI, B. I. D. G. O. L. I. B. E. H. R. O. U. Z. (2019). A SURVEY ON KNOWLEDGE EXTRACTION TECHNIQUES FOR WEB TABLES.
  94. Khorasani, M., Minaei-Bidgoli, B., & Saedi, C. (2019). Automatic synset extraction from text documents using a graph-based clustering approach via maximal cliques finding. International Journal of Information and Communication Technology Research, 11(1), 27–35.
  95. Saheb-Nassagh, R., Asgari, M., & Minaei-Bidgoli, B. (2019). RePersian-A Fast Relation Extraction Tool in Persian. International Journal of Web Research, 2(2), 15–22.
  96. Khozouie, N., Fotouhi Ghazvini, F., & Minaei, B. (2019). Context-aware Modeling for Spatio-temporal Data Transmitted from a Wireless Body Sensor Network. Journal of AI and Data Mining, 7(4), 575–588.
  97. Aliyari, H., Kazemi, M., Sahraei, H., Daliri, M. R., Minaei-Bidgoli, B., & Golabi, S. (2019). Enhancement of Cognitive Index with Computer Game Using Brain Signals and Hormonal Analysis: Randomized Controlled Trial. Journal of Research in Rehabilitation Sciences, 15(3), 144–151.
  98. Mortazavi, S. M. J., Torabi Konjin, F., Minaei Bidgoli, B., & Okati, A. (2019). Identifying Important Factors of Arthroplasty in Patients with Degenerative Knee Osteoarthritis Based on Association Rule Mining Approach. Payavard Salamat, 13(3), 181–193.
  99. Kazemi, S. M. R., Minaei Bidgoli, B., Shamshirband, S., Karimi, S. M., Ghorbani, M. A., Chau, K.-wing, & Kazem Pour, R. (2018). Novel genetic-based negative correlation learning for estimating soil temperature. Engineering Applications of Computational Fluid Mechanics, 12(1), 506–516.
  100. Mohammadi Motlagh, H. A., Minaei Bidgoli, B., & Parvizi Fard, A. A. (2018). Design and implementation of a web-based fuzzy expert system for diagnosing depressive disorder. Applied Intelligence, 48, 1302–1313.
  101. Aryabarzan, N., Minaei-Bidgoli, B., & Teshnehlab, M. (2018). negFIN: An efficient algorithm for fast mining frequent itemsets. Expert Systems with Applications, 105, 129–143.
  102. 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 Mechanics, 12(1), 438–458.
  103. Soofi, M., Aliahmadi, A., Ali Ahmadi, H., & Minaei, B. (2018). Clustering the Sūras of the Qur’an with Data Mining Techniques. Quran and Hadith Studies, 50(2), 103–120.
  104. Khozouie, N., Fotouhi-Ghazvini, F., & Minaei-Bidgoli, B. (2018). Ontological MobiHealth system. Indonesian J. Elect. Eng. Comput. Sci, 10(1), 309–319.
  105. Aliyari, H., Sahraei, H., Daliri, M. R., Minaei-Bidgoli, B., Kazemi, M., Agaei, H., Sahraei, M., Hosseini, S. M. A. S., Hadipour, M. M., Mohammadi, M., & others. (2018). The beneficial or harmful effects of computer game stress on cognitive functions of players. Basic and Clinical Neuroscience, 9(3), 177.
  106. Rafique, H., Anwer, F., Shamim, A., Minaei-Bidgoli, B., Qureshi, M. A., & Shamshirband, S. (2018). Factors affecting acceptance of mobile library applications: Structural equation model. Libri, 68(2), 99–112.
  107. Amoozegar, M., & Minaei-Bidgoli, B. (2018). Optimizing multi-objective PSO based feature selection method using a feature elitism mechanism. Expert Systems with Applications, 113, 499–514.
  108. Esmaeili, H., & Minaei-Bidgoli, B. (2018). EMRP: Evolutionary-based multi-hop routing protocol for wireless body area networks. AEU - International Journal of Electronics and Communication, 93, 63–74.
  109. Faghihi-Nezhad, M.-T., & Minaei-Bidgoli, B. (2018). Prediction of stock market using an ensemble learning-based intelligent model. Industrial Engineering & Management Systems, 17(3), 479–496.
  110. Faghihi Nezhad, M. T., & Minaei, B. (2018). Prediction of Stock Market Behavior Based on Artificial Neural Networks through Intelligent Ensemble Learning Approach. Industrial Management Journal, 10(2), 315–334.
  111. Pouramini, J., Minaei-Bidgoli, B., & Esmaeili, M. (2018). A novel feature selection method in the categorization of imbalanced textual data. KSII Transactions on Internet and Information Systems (TIIS), 12(8), 3725–3748.
  112. Salehi, M. J., Ashtiani, M., & Minaei Bidgoli, B. (2018). Cloud Service Selection based on the Credibility persistency of Users’ Feedbacks. Journal of Soft Computing and Information Technology, 7(1), 29–41.
  113. 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, 31(8), e3541.
  114. Nasiri, M., Minaei, B., & Sharifi, Z. (2017). Adjusting data sparsity problem using linear algebra and machine learning algorithm. Applied Soft Computing, 61, 1153–1159.
  115. Khosravi, A., Minaei-Bidgoli, B., & others. (2017). Customer knowledge management in software development: a descriptive field survey. Journal of Theoretical and Applied Information Technology, 95(2), 434.
  116. Khosravi, A., Hussin, A. R. C., & Minaei-Bidgoli, B. (2017). Toward a Customer Knowledge Management Model for Enhancing Enterprise Software Quality. Advanced Science Letters, 23(9), 9035–9038.
  117. 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). International Journal of Social Sciences (IJSS) Vol, 7.
  118. Seyyedi, S. H., & Minaei-Bidgoli, B. (2017). Enhancing effectiveness of dimension reduction in text classification. International Journal on Artificial Intelligence Tools, 26(03), 1750008.
  119. 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 Technology, 7(5), 392.
  120. Seyyedi, S. H., & Minaei-Bidgoli, B. (2017). Using learning automata to determine proper subset size in high-dimensional spaces. Journal of ExpErimEntal & ThEorEtical Artificial IntElligEncE, 29(2), 415–432.
  121. 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.
  122. 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 Intelligence, 56, 260–272.
  123. 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 Liège, 85, 358–375.
  124. Pakzad, A., & Minaei Bidgoli, B. (2016). An improved joint model: POS tagging and dependency parsing. Journal of AI and Data Mining, 4(1), 1–8.
  125. Nasiri, M., & Minaei, B. (2016). Increasing prediction accuracy in collaborative filtering with initialized factor matrices. The Journal of Supercomputing, 72, 2157–2169.
  126. 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. Kybernetes.
  127. Nasiri, M., Minaei, B., & Kiani, A. (2016). Dynamic recommendation: Disease prediction and prevention using recommender system. International Journal of Basic Science in Medicine, 1(1), 13–17.
  128. Sadidpour, S. 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, 7(9).
  129. 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 Management, 5(3), 165.
  130. آتانی رفیعی, نمین هاشمی, مژده, مطلق جاهد, & بیدگلی مینا یی. (2016). A Computational model of creative mental imagery inspired by Islamic Philosophy. تازه های علوم شناختی, 18(3), 1–17.
  131. Alizadeh, H., & Bidgoli, B. M. (2016). Introducing A Hybrid Data Mining Model to Evaluate Customer Loyalty. Engineering, Technology & Applied Science Research, 6(6), 1235–1240.
  132. Kalanat, N., & Minaei-Bidgoli, B. (2016). An optimized fuzzy method for finding actions. Journal of Intelligent & Fuzzy Systems, 30(1), 257–265.
  133. 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 Sciences, 28(3), 303–310.
  134. 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 Applications, 18, 87–112.
  135. Baradaran, R., & Minaei-Bidgoli, B. (2015). Event Extraction from Classical Arabic Texts. Int. Arab J. Inf. Technol., 12(5), 494–502.
  136. Minaei, B., & Seyed Hosseini, S. M. A. (2015). Thematic Analysis of Lifestyle in SIMS (Video Game). Media Studies, 10(28), 111–126.
  137. Minaei-Bidgoli, B., & others. (2015). Effect of morphologies on Persian dependency parsing. Signal and Data Processing, 11(2), 71–80.
  138. 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.
  139. Mosavi Gilani, S. R., Minaie, B., & others. (2015). Virtual space of the computer games and the possibility of choosing ethical options. Research Quarterly in Islamic Ethics, 8(29), 7–20.
  140. Aliyari, H., Kazemi, M., Tekieh, E., Salehi, M., Sahraei, H., Daliri, M. R., Agaei, H., Minaei-Bidgoli, B., Lashgari, R., Srahian, N., & 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 Neuroscience, 6(3), 193.
  141. 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 Science, 7(1), 194.
  142. Nasiri, M., Rezghi, M., & Minaei, B. (2014). Fuzzy dynamic tensor decomposition algorithm for recommender system. UCT Journal of Research in Science, Engineering and Technology, 2(2), 52–55.
  143. 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 Marketing, 27(3), 178–190.
  144. 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.
  145. 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 Review, 41, 27–48.
  146. Minaei, B., & Razi Zade, A. (2014). The Formative Elements of the Sense of Presence and Its Impact on the Identity of the Users of Video Games. Journal of Iranian Cultural Research, 7(2), 25–48.
  147. Minaei-Bidgoli, B. (2014). Extracting person names using name candidate injection in a conditional random field model for Arabic language. Signal and Data Processing, 11(1), 73–85.
  148. 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 Systems, 27(10), 2190–2214.
  149. Alizadeh, H., Minaei-Bidgoli, B., & Parvin, H. (2014). Cluster ensemble selection based on a new cluster stability measure. Intelligent Data Analysis, 18(3), 389–408.
  150. Hoseini, S. M., & Minaei, B. (2014). Efficient Incorporation of PLSA and LDA Semantic Knowledge in Statistical Language Model Adaptation for Persian ASR Systems.
  151. Nasiri, M., Minaei, B., & Rezghi, M. (2014). Effect of rating time for cold start problem in collaborative filtering. ژورنال بین المللی پژوهش عملیاتی, 4(3), 75–79.
  152. Dabaghi-Zarandi, F., Minaei-Bidgoli, B., & Davarzani, Z. (2014). A Probabilistic Algorithm for MANET Clustering. International Journal of Future Generation Communication and Networking, 7(6), 59–68.
  153. Afsar, A., Houshdar Mahjoub, R., & Minaie Bidgoli, B. (2014). Customer credit clustering for presenting appropriate facilities. Management Researches in Iran, 17(4), 1–24.
  154. 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 Intelligence, 26(1), 127–150.
  155. 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 Industries, 32, 443–453.
  156. 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.
  157. Nasiri, M., Rezghi, M., & Minaei, B. (2014). New algorithm for recommender system based on tensor decomposition. Journal of Operational Research in Its Applications, 14, 57–64.
  158. NASIRI, M., REZGHI, S. M., & MINAEI, B. (2014). NEW ALGORITHM FOR TENSOR BASED RECOMMENDATION SYSTEM.
  159. Borhani-Fard, Z., Esmaeili, L., Minaei-Bidgoli, B., & Nasiri, M. (2014). Experiments on Data Preprocessing of Persian Blog Networks. ArXiv Preprint ArXiv:1409.0517.
  160. 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 Intelligence, 25(2), 227–250.
  161. Hadian, A., & Minaei-Bidgoli, B. (2013). Multi-View Learning for Web Spam Detection. Journal of Emerging Technologies in Web Intelligence, 5(4).
  162. Mousavi Khaneghah, E., Mirtaheri, S. L., Minaei-Bidgoli, B., Sharifi, M., Mani Yekta, M. R., Saleh Ardestani, A., & Bornaee, Z. (2013). A tlantis: a time-value model in e-commerce. Journal of Applied Social Psychology, 43(6), 1211–1227.
  163. Rajabi, Z., Minaei, B., & Seyyedi, M. A. (2013). Enterprise architecture development based on enterprise ontology. Journal of Theoretical and Applied Electronic Commerce Research, 8(2), 85–95.
  164. Kozegar, E., Soryani, M., Minaei, B., & Domingues, I. (2013). Assessment of a novel mass detection algorithm in mammograms. Journal of Cancer Research and Therapeutics, 9(4), 592–600.
  165. 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. Cities, 31, 394–403.
  166. Danesh, M., Minaei, B., & Kashefi, O. (2013). A distributed N-gram indexing system to optimizing Persian information retrieval. International Journal of Computer Theory and Engineering, 5(2), 214.
  167. Parvin, H., & Minaei-Bidgoli, B. (2013). A clustering ensemble framework based on elite selection of weighted clusters. Advances in Data Analysis and Classification, 7, 181–208.
  168. Borhani-Fard, Z., Minaei, B., & Alinejad-Rokny, H. (2013). Applying clustering approach in blog recommendation. Journal of Emerging Technologies in Web Intelligence, 5(3), 296–301.
  169. 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 and Computer Sciences, 21(6), 1646–1664.
  170. Minaei-Bidgoli, B., Barmaki, R., & Nasiri, M. (2013). Mining numerical association rules via multi-objective genetic algorithms. Information Sciences, 233, 15–24.
  171. Minaei, B. (2013). Enterprise Architecture Development Based on Enterprise Ontology.
  172. Alizadeh, H., Minaei-Bidgoli, B., & Parvin, H. (2013). Optimizing fuzzy cluster ensemble in string representation. International Journal of Pattern Recognition and Artificial Intelligence, 27(02), 1350005.
  173. Minaei, B., & Parvin, H. (2013). Optimizing Fuzzy Cluster Ensemble in String Representation.
  174. Parvin, H., Minaei-Bidgoli, B., & Alinejad-Rokny, H. (2013). A new imbalanced learning and dictions tree method for breast cancer diagnosis. Journal of Bionanoscience, 7(6), 673–678.
  175. Minaei-Bidgoli, B., Faili, H., & Aminian, M. (2013). Unsupervised Persian Verb Valency Induction. Signal and Data Processing, 9(2), 3–12.
  176. Parvin, H., Minaei-Bidgoli, B., Alinejad-Rokny, H., & Punch, W. F. (2013). Data weighing mechanisms for clustering ensembles. Computers & Electrical Engineering, 39(5), 1433–1450.
  177. Fouladgar, M. H., Minaei-Bidgoli, B., Parvinb, H., & Alinejad-Rokny, H. (2013). Extension in the case of arrays in daikon like tools. Advanced Engineering Technology and Application, 2(1), 9–14.
  178. 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 Technology, 4(5), 500–509.
  179. Minaei Bidgoli, B., Hani, S. S. H., & Ghanbari, V. (2012). Data Mining in the E-Learning Systems: A Virtual University Case Study. International Journal of Information and Communication Technology Research, 4(2), 71–81.
  180. Daryabari, M., Parvin, H., Mohammadi, M., & Minaei, B. (2012). Localizing Program Errors Based on Invariant Concept. Journal of Convergence Information Technology, 7(1).
  181. 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.
  182. Hadian, A., Shahrivari, S., & Minaei-Bidgoli, B. (2012). Fine-grained parallel ant colony system for shared-memory architectures. International Journal of Computer Applications, 53(8), 8–13.
  183. Sharifi, M., & Minaei, B. (2012). Modeling and analysis of access transparency and scalability in P2P distributed systems.
  184. 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 Applications, 4(01), 29–40.
  185. Zeinalpour-Tabrizi, Z., & Minaei-Bidgoli, B. (2012). Intelligent Decision Making Process for an Attack in RTS Games.
  186. Minaei Bidgoli, B., & Nazaridoust, M. (2012). Case Study: Data Mining of Associate Degree Accepted Candidates by Modular Method. Communications and Network, 4(03), 261–268.
  187. 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.
  188. Minaei, B., & Parvin, H. (2011). New Efficient Techniques for Dynamic Detection of Likely Invariants.
  189. Alizadeh, H., Minaei, B., Parvin, H., & Moshki, M. (2011). An asymmetric criterion for cluster validation. Developing Concepts in Applied Intelligence, 1–14.
  190. Okhovvat, M., & Bidgoli, B. M. (2011). A hidden Markov model for Persian part-of-speech tagging. Procedia Computer Science, 3, 977–981.
  191. Kashefi, O., & Minaei, B. (2011). A Novel Similarity Measure for Sequence Data. Journal of Information Processing Systems, 7(3).
  192. Minaei, B., Asadi, M., & Parvin, H. (2011). An Ensemble Based Approach for Feature Selection.
  193. Minaei, B., Fathian, M., Jafarian-Moghaddam, A. R., & Nasiri, M. (2011). Clustering Iran Earthquake Data using Improved Ant System-Based Clustering Algorithm. Advances in Industrial Engineering, 45(2), 221–227.
  194. 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 Applications, 38(1), 288–298.
  195. Pandi, M. H., Kashefi, O., & Minaei, B. (2011). A novel similarity measure for sequence data. Journal of Information Processing Systems, 7(3), 413–424.
  196. Najafli, N., Farnoushfar, B., Nasiri, M., & Minaei, B. (2011). Network Risk Evaluation by Data Mining.
  197. Ghanavati, M., GHOLAMIAN, M. O. H. A. M. A. D. R. E. Z. A., MINAEI, B. E. H. R. O. U. Z., & DAVOUDI, M. E. H. R. A. N. (2011). AN EFFICIENT COST FUNCTION FOR IMPERIALIST COMPETITIVE ALGORITHM TO FIND BEST CLUSTERS. Journal of Theoretical & Applied Information Technology, 29(1).
  198. 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 Technology, 29(1).
  199. Esmaeili, L., Nasiri, M., & Minaei-Bidgoli, B. (2011). Analyzing Persian social networks: an empirical study. International Journal of Virtual Communities and Social Networking (IJVCSN), 3(3), 46–65.
  200. Moslehi, P., Bidgoli, B. M., Nasiri, M., & Fazel, E. N. (2011). Mining frequent ranges of numeric attributes via ant colony optimization for continuous domains without specifying minimum support. International Journal of Computer Science Issues (IJCSI), 8(5), 111.
  201. Parvin, H., Minaei-Bidgoli, B., Ghatei, S., & Alinejad-Rokny, H. (2011). An innovative combination of particle swarm optimization, learning automaton and great deluge algorithms for dynamic environments. International Journal of the Physical Sciences, 6(22), 5121–5127.
  202. Parvin, H., Helmi, H., Minaei-Bidgoli, B., Alinejad-Rokny, H., & Shirgahi, H. (2011). Linkage learning based on differences in local optimums of building blocks with one optima. International Journal of the Physical Sciences, 6(14), 3419–3425.
  203. 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). IJCSNS, 11(6), 260.
  204. Danesh, M., Minaei, B., & Kashefi, O. (2011). Challenging Massive Information Retrieval in Persian. International Journal of Information and Education Technology, 1(3), 212.
  205. 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. IJCSNS, 11(6), 243.
  206. 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.
  207. Kashefi, O., Mohseni, N., & Minaei, B. (2010). Optimizing Document Similarity Detection in Persian Information Retrieval. J. Convergence Inf. Technol., 5(2), 101–106.
  208. Parvin, H. (2010). A modification on k-nearest neighbor classifier. Global Journal of Computer Science and Technology, 10(14).
  209. Saadat, P., & MINAEI, B. I. D. G. O. L. I. B. E. H. R. O. U. Z. (2010). Scaling Up Performance of Web Services by Pre-Serialization Response Analysis.
  210. Parvin, H., Alizadeh, H., & Minaei-Bidgoli, B. (2010). A new divide and conquer based classification for OCR. Converg Hybrid Inform Technol, 3(1), 1–1.
  211. Hadian, A., Nasiri, M., & Minaei-Bidgoli, B. (2010). Clustering based multi-objective rule mining using genetic algorithm. International Journal of Digital Content Technology and Its Applications, 4(1), 37–42.
  212. Minaei-Bidgoli, B., & Akhondzadeh, E. (2010). A new approach of using association rule mining in customer complaint management. International Journal of Computer Science Issues (IJCSI), 7(5), 142.
  213. Khoshgoftar, M., Minaei, B., & Faraahi, A. (2010). A New Design for Knowledge Visualization based on User’s Understanding of Wiki data. IJCSNS, 10(12), 64.
  214. Moshki, M., Parvin, H., & Minaei Bidgoli, B. (2010). Clustering Ensemble based on combination of subset of primary clusters. Signal and Data Processing, 7(1), 19–32.
  215. Derakhshanfar, M., & Minaei-Bidgoli, B. (2009). Optimizing Spatial Trend Detection By Artificial Immune Systems. International Journal of Computer and Information Engineering, 3(1), 68–73.
  216. Minaei, B., & Saadat, P. (2009). Soap serialization performance enhancement, design and implementation of a middleware. ArXiv Preprint ArXiv:0911.0488.
  217. Entezari-Maleki, R., Rezaei, A., & Minaei-Bidgoli, B. (2009). Comparison of classification methods based on the type of attributes and sample size. J. Convergence Inf. Technol., 4(3), 94–102.
  218. MOHSENI, M. A. H. D. I., & MINAEI, B. I. D. G. O. L. I. B. E. H. R. O. U. Z. (2009). A POS TAGGING SYSTEM IN THE PERSIAN LANGUAGE.
  219. Entezari-Maleki, R., Iranmanesh, S. M., & Minaei-Bidgoli, B. (2009). Data Mining: An experimental investigation of the effect of discrete attributes on the precision of classification methods.
  220. Ghaderi, R., & Minaei-Bidgoli, B. (2009). Detecting data errors with employing negative association rules. International Journal of Digital Content Technology and Its Applications, 3(3), 91.
  221. Iranpour Mobarakeh, M., & Minaei-Bidgoli, B. (2009). Verb detection in persian corpus. International Journal of Digital Content Technology and Its Applications, 3(1), 58–65.
  222. Parvin, H., Alizadeh, H., Minaei-Bidgoli, B., & others. (2009). A new method for constructing classifier ensembles. International Journal of Digital Content Technology and Its Applications, 3(2), 62–66.
  223. Alizadeh, H., Minaei-Bidgoli, B., & Amirgholipour, S. K. (2009). A New Method for Improving the Performance of K Nearest Neighbor using Clustering Technique. J. Convergence Inf. Technol., 4(2), 84–92.
  224. Parvin, H., Alizadeh, H., & Minaei-Bidgoli, B. (2009). Using clustering for generating diversity in classifier ensemble. International Journal of Digital Content: Technology and Its Application, JDCTA.
  225. 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.
  226. Zahedi, M. H., Kahani, M., & Minaei, B. (2008). Fuzzy expert system in determining Hadith validity. Advances in Computer and Information.
  227. Kortemeyer, G., Hall, M., Parker, J., Minaei-Bidgoli, B., Albertelli, G., Bauer, W., & Kashy, E. (2005). Effective feedback to the instructor from online homework. Journal of Asynchronous Learning Networks, 9(2), 19–28.
  228. Kortemeyer, G., Albertelli, G., Bauer, W., Berryman, F., Bowers, J., Hall, M., Kashy, E., Kashy, D., Keefe, H., Behrouz, M.-B., & others. (2003). The learning online network with computer-assisted personalized approach (LON-CAPA). E-Learning and Distance Learning.
  229. AZARNIA, M. A. H. N. A. Z., MINAEI, B., & HOSSEINI, M. (2001). THE EFFECT OF HISTOPATOLOGY OF NITROFURANTION UPON TESTIS DEVELOPMENTAL IN RAT EMBRYO.
  230. Aliyari, H., Sahraei, H., Golabi, S., Kazemi, M., Daliri, M. R., & Minaei-Bidgoli, B. The Effect of Brain Teaser Games on the Attention of Players Based on Hormonal and Brain Signals Changes Running title: Brain Teaser Games effect on the Attention of Players.
  231. Minaei, B., & Akhondzadeh, E. A New Approach of Using Association Rule Mining in Customer Complaint Management.
  232. Zamani, B., Fathy, M., & Minaei, B. Region-Based Image Clustering and Retrieval Using Fuzzy Similarity and Relevance Feedback.
  233. Minaei, B., Topchy, A., & Punch, W. A Comparison of Resampling Methods for Clustering Ensembles.
  234. Minaei, B., & Punch, W. F. Adaptive Clustering Ensembles.
  235. Vahidi, J., Minaei, B., Sharifi, M., Xu, X., Tan, T., Lee, C. Y., Ghafouri, A., Allahverdy, A., Kozegar, E., Moghasemi, H., & others. Technical Committee of KBEI-2019.
  236. 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.
  237. Khoshgoftar, M., Minaei, B., & Faraahi, A. A New Design for Knowledge Visualization based on User’s Understanding of Wiki data Wiki.
  238. Notash, A. Y., Minaei, B., & Salajegheh, A. A Model in Recommender Systems for Disease Diagnosis Using Combined Method. Research Journal of Recent Sciences ______________________________________________________________ ISSN, 2277, 2502.
  239. Minaei-Bidgoli, B., & Adib, S. F. Modeling The Impact Of The Stakeholders Value On The Sectoral or National Innovation System, in Computer Game Industry.
  240. Esmaeili, L., Nasiri, M., & Minaei-Bidgoli, B. Comparison of Different Techniques for Group Recommendation in Social Networks.
  241. Saeedabadi, M. R., Davayi, A. H., Berari, M., Ehsani, R., Shirani, F., Kaghazlou, H., Minaei, B., Mohammadi, T., Alaeiyan, M., Moshiri, B., & others. Organization committees.
  242. Minaei, B., Kortemeyer, G., & Punch, W. F. Optimizing Classification Ensembles via a Genetic Algorithm for a Web-Based Educational System.
  243. Rasooli, M. S., & Minaei-Bidgoli, B. رد ﺪﻳﺪﺟ ﻲﺷور ﻲﺳرﺎﻓ نﺎﺑز رد ﻲﻳﻼﻣا ﻲﺑﺎﻳﺎﻄﺧ.
  244. Naghibi, M., Anvari, R., Forghani, A., & Minaei, B. TEST-COST-SENSITIVE CONVOLUTIONAL NEURAL NETWORKS WITH EXPERT BRANCHES.
  245. Arasteh, A., Elahimanesh, M. H., Sharif, A., & Minaei-Bidgoli, B. Semantically Clustering of Persian Words.
  246. Zamanifar, A., Minaei, B., & Kashefi, O. A new technique for detecting similar documents based on term co-occurrence and conceptual property of...
  247. Minaei-Bidgoli, B., & Kashy, A. PREDICTING STUDENT PERFORMANCE: AN APPLICATION OF DATA MI AN EDUCATIONAL WEB-BASED SYSTEM. System, 1, 2.
  248. Khozouie, N., Fotouhi-Ghazvini, F., & Minaei-Bidgoli, B. Comparison of Context-Aware Systems (Ontology-based).

Conference Papers

  1. Darvishi, K., Javdan, S., Minaei-Bidgoli, B., Eetemadi, S., & others. (2022). Pars-ABSA: a Manually Annotated Aspect-based Sentiment Analysis Benchmark on Farsi Product Reviews. Proceedings of the Thirteenth Language Resources and Evaluation Conference, 7056–7060.
  2. Zarharan, M., Ghaderan, M., Pourdabiri, A., Sayedi, Z., Minaei-Bidgoli, B., Eetemadi, S., & Pilehvar, M. T. (2021). ParsFEVER: a Dataset for Farsi Fact Extraction and Verification. Proceedings of* SEM 2021: The Tenth Joint Conference on Lexical and Computational Semantics, 99–104.
  3. Saheb-Nassagh, R., Asgari, M., & Minaei-Bidgoli, B. (2020). RePersian: An Efficient Open Information Extraction Tool in Persian. 2020 6th International Conference on Web Research (ICWR), 93–99.
  4. Akafan, M., Minaei-Bidgoli, B., & Bagheri, A. (2020). A Multi-agent PSO Algorithm to Determine the Membership percentage of Each Node in Overlapping Community in Social Networks. 2020 4th Conference on Swarm Intelligence and Evolutionary Computation (CSIEC), 037–044.
  5. Janfada, B., & Minaei-Bidgoli, B. (2020). A Review of the Most Important Studies on Automated Text Simplification Evaluation Metrics. 2020 6th International Conference on Web Research (ICWR), 271–278.
  6. Asgari-Bidhendi, M., Fakhrian, F., & Minaei-Bidgoli, B. (2020). Parsel 1.0: Unsupervised entity linking in persian social media texts. 2020 11th International Conference on Information and Knowledge Technology (IKT), 148–153.
  7. Javdan, S., Minaei-Bidgoli, B., & others. (2020). Applying transformers and aspect-based sentiment analysis approaches on sarcasm detection. Proceedings of the Second Workshop on Figurative Language Processing, 67–71.
  8. Hashemi, S. M. R., Kozegar, E., Deramgozin, M. M., & Minaei-Bidgoli, B. (2019). Training feed-forward neural networks using asexual reproduction optimization (aro) algorithm. 2019 5th Conference on Knowledge Based Engineering and Innovation (KBEI), 809–812.
  9. Rashno, E., & Minaei-Bidgoli, B. (2019). Boundary points handling for image edge detection based on Neutrosophic set. 2019 5th Conference on Knowledge Based Engineering and Innovation (KBEI), 886–890.
  10. Kiani, R., Montazeri, M., & Minaei-Bidgoli, B. (2019). Intelligent Production and Detection Template of Outlier Dataset Using Clustering. 2019 5th Conference on Knowledge Based Engineering and Innovation (KBEI), 145–152.
  11. Rashno, E., Norouzi, S. S., Minaei-Bidgoli, B., & Guo, Y. (2019). Certainty of outlier and boundary points processing in data mining. 2019 27th Iranian Conference on Electrical Engineering (ICEE), 1929–1934.
  12. Zarharan, M., Ahangar, S., Rezvaninejad, F. S., Bidhendi, M. L., Pilevar, M. T., Minaei, B., & Eetemadi, S. (2019). Persian Stance Classification Data Set. TTO.
  13. Keshvari-Fini, P., Janfada, B., & Minaei-Bidgoli, B. (2019). A survey on knowledge extraction techniques for Web tables. 2019 5th International Conference on Web Research (ICWR), 123–127.
  14. Nasser, M., Asgari, M., & Minaei-Bidgoli, B. (2019). Distant supervision for relation extraction in the persian language using piecewise convolutional neural networks. 2019 5th International Conference on Web Research (ICWR), 96–99.
  15. Sajadi, M. B., Minaei, B., & Hadian, A. (2018). FarsBase: A Cross-Domain Farsi knowledge Graph. SEMANTICS Posters&Demos.
  16. Borhanifard, Z., & Minaei-Bidgoli, B. (2017). Recommender system for Persian blogs. 2017 3th International Conference on Web Research (ICWR), 109–114.
  17. Khozouie, N., Fotouhi-Ghazvini, F., & Minaei-Bidgoli, B. (2017). Developing a context-aware mobile patient monitoring framework with an ontology-based approach. 2017 IEEE 4th International Conference on Smart Instrumentation, Measurement and Application (ICSIMA), 1–5.
  18. Hadian, A., Nobari, S., Minaei-Bidgoli, B., & Qu, Q. (2016). Roll: Fast in-memory generation of gigantic scale-free networks. Proceedings of the 2016 International Conference on Management of Data, 1829–1842.
  19. Minaei, B., & Niknam, M. (2016). An n-gram based Method for nearly Copy Detection in Plagiarism Systems. FIRE (Working Notes), 172–175.
  20. 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. 2016 2nd International Conference of Signal Processing and Intelligent Systems (ICSPIS), 1–5.
  21. 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. Sixth International Conference on Graphic and Image Processing (ICGIP 2014), 9443, 544–553.
  22. Zaghari, N., Nasiri, M., & Minaei, B. (2015). An approach to reduce cold start in compound recommender systems using semantic technology and social networks. 2015 2nd International Conference on Knowledge-Based Engineering and Innovation (KBEI), 700–705.
  23. Reihanian, A., Minaei-Bidgoli, B., & Yousefnezhad, M. (2015). Evaluating the effect of topic consideration in identifying communities of rating-based social networks. 2015 7th Conference on Information and Knowledge Technology (IKT), 1–6.
  24. Faghani, S., Hadian, A., & Minaei-Bidgoli, B. (2015). Charset Encoding Detection of HTML Documents: A Practical Experience. Information Retrieval Technology: 11th Asia Information Retrieval Societies Conference, AIRS 2015, Brisbane, QLD, Australia, December 2-4, 2015. Proceedings 11, 215–226.
  25. Nasiri, M., Sharifi, Z., & Minaei, B. (2015). Alleviate sparsity problem using hybrid model based on spectral co-clustering and tensor factorization. 2015 5th International Conference on Computer and Knowledge Engineering (ICCKE), 285–289.
  26. 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. 2015 2nd International Conference on Knowledge-Based Engineering and Innovation (KBEI), 111–117.
  27. Reihanian, A., Minaei-Bidgoli, B., & Alizedeh, H. (2015). Detecting communities in topical semantic networks. 2015 7th Conference on Information and Knowledge Technology (IKT), 1–6.
  28. Ghanbarpour, A., & Minaei, B. (2014). EXDBSCAN: An extension of DBSCAN to detect clusters in multi-density datasets. 2014 Iranian Conference on Intelligent Systems (ICIS), 1–5.
  29. Elahimanesh, M. H., Minaei-Bidgoli, B., & Kermani, F. (2014). ACUT: an associative classifier approach to unknown word POS tagging. Artificial Intelligence and Signal Processing: International Symposium, AISP 2013, Tehran, Iran, December 25-26, 2013, Revised Selected Papers 1, 250–263.
  30. Qiasi, R., Roozbehani, Z., & Minaei-Bidgoli, B. (2013). Predict customer churn by using rough set theory and neural network. Proceedings of 9th International Industrial Engineering Conference, Jan, 20–21.
  31. Khallash, M., Cefidekhanie, A. H., & Minaei-Bidgoli, B. (2013). An empirical study on the effect of morphological and lexical features in Persian dependency parsing. Proceedings of the Fourth Workshop on Statistical Parsing of Morphologically-Rich Languages, 97–107.
  32. Elahimanesh, M. H., Minaei, B., & Malekinezhad, H. (2012). Improving K-Nearest Neighbor Efficacy for Farsi Text Classification. LREC, 1618–1621.
  33. Nasiri, M., Minaei, B., & Vafaei, F. (2012). Predicting GPA and academic dismissal in LMS using educational data mining: A case mining. 6th National and 3rd International Conference of e-Learning and e-Teaching, 53–58.
  34. Sheykholeslam, M. H., Minaei-Bidgoli, B., & Juzi, H. (2012). A Framework for Spelling Correction in Persian Language Using Noisy Channel Model. LREC, 706–710.
  35. Parvin, H., Dahbashi, A., Parvin, S., & Minaei-Bidgoli, B. (2012). Improving Persian text classification and clustering using Persian thesaurus. Distributed Computing and Artificial Intelligence: 9th International Conference, 493–500.
  36. Parvin, H., Mohamadi, M., Parvin, S., Rezaei, Z., & Minaei, B. (2012). Nearest cluster classifier. Hybrid Artificial Intelligent Systems: 7th International Conference, HAIS 2012, Salamanca, Spain, March 28-30th, 2012. Proceedings, Part I 7, 267–275.
  37. Elahimanesh, M. H., Minaei-Bidgoli, B., Gholami, M. J., & Juzi, H. (2012). An Introduction to Noor Corpus and its Language Model. Proceedings of the 1st International Conference on Persian Language Processing.
  38. Juzi, H., Zadeh, A. R., Barati, E., & Minaei-Bidgoli, B. (2012). A new framework for detecting similar texts in Islamic Hadith Corpora. Workshop Organizers, 38.
  39. Bidhendi, M. A., Minaei-Bidgoli, B., & Jouzi, H. (2012). Extracting person names from ancient Islamic Arabic texts. Proceedings of Language Resources and Evaluation for Religious Texts (LRE-Rel) Workshop Programme, Eight International Conference on Language Resources and Evaluation (LREC 2012), 1–6.
  40. 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. 5th Language & Technology Conference (LTC): Human Language Technologies as a Challenge for Computer Science and Linguistics, 227–231.
  41. Parvin, H., Minaei-Bidgoli, B., & Helmi, B. H. (2011). An innovative linkage learning based on differences in local optimums. Computational Intelligence in Security for Information Systems: 4th International Conference, CISIS 2011, Held at IWANN 2011, Torremolinos-Málaga, Spain, June 8-10, 2011. Proceedings, 285–292.
  42. Parvin, H., Minaei-Bidgoli, B., & Alizadeh, H. (2011). Detection of cancer patients using an innovative method for learning at imbalanced datasets. Rough Sets and Knowledge Technology: 6th International Conference, RSKT 2011, Banff, Canada, October 9-12, 2011. Proceedings 6, 376–381.
  43. Parvin, H., Minaei-Bidgoli, B., & Ghaffarian, H. (2011). An innovative feature selection using fuzzy entropy. Advances in Neural Networks–ISNN 2011: 8th International Symposium on Neural Networks, ISNN 2011, Guilin, China, May 29–June 1, 2011, Proceedings, Part III 8, 576–585.
  44. Fouladgar, H., Minaei-Bidgoli, B., & Parvin, H. (2011). On possibility of conditional invariant detection. Knowlege-Based and Intelligent Information and Engineering Systems: 15th International Conference, KES 2011, Kaiserslautern, Germany, September 12-14, 2011, Proceedings, Part II 15, 214–224.
  45. Parvin, H., & Minaei-Bidgoli, B. (2011). Linkage learning based on local optima. Computational Collective Intelligence. Technologies and Applications: Third International Conference, ICCCI 2011, Gdynia, Poland, September 21-23, 2011, Proceedings, Part I 3, 163–172.
  46. Minaei-Bidgoli, B., Asadi, M., & Parvin, H. (2011). An ensemble based approach for feature selection. Engineering Applications of Neural Networks: 12th INNS EANN-SIG International Conference, EANN 2011 and 7th IFIP WG 12.5 International Conference, AIAI 2011, Corfu, Greece, September 15-18, 2011, Proceedings Part I, 240–246.
  47. Parvin, H., Minaei-Bidgoli, B., & Alizadeh, H. (2011). Iranian cancer patient detection using a new method for learning at imbalanced datasets. Intelligent Data Engineering and Automated Learning-IDEAL 2011: 12th International Conference, Norwich, UK, September 7-9, 2011. Proceedings 12, 299–306.
  48. Parvin, H., & Minaei-Bidgoli, B. (2011). A new space defined by ant colony algorithm to partition data. Adaptive and Intelligent Systems: Second International Conference, ICAIS 2011, Klagenfurt, Austria, September 6-8, 2011. Proceedings, 272–284.
  49. Parvin, H., Minaei-Bidgoli, B., & Shahpar, H. (2011). Classifier selection by clustering. Pattern Recognition: Third Mexican Conference, MCPR 2011, Cancun, Mexico, June 29-July 2, 2011. Proceedings 3, 60–66.
  50. Parvin, H., Minaei-Bidgoli, B., & Dahbashi, A. (2011). Improving Persian Text Classification Using Persian Thesaurus. Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications: 16th Iberoamerican Congress, CIARP 2011, Pucón, Chile, November 15-18, 2011. Proceedings 16, 391–398.
  51. Parvin, H., Minaei-Bidgoli, B., & Alizadeh, H. (2011). A new clustering algorithm with the convergence proof. Knowledge-Based and Intelligent Information and Engineering Systems: 15th International Conference, KES 2011, Kaiserslautern, Germany, September 12-14, 2011, Proceedings, Part I 15, 21–31.
  52. Alizadeh, H., Minaei-Bidgoli, B., & Parvin, H. (2011). A new asymmetric criterion for cluster validation. Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications: 16th Iberoamerican Congress, CIARP 2011, Pucón, Chile, November 15-18, 2011. Proceedings 16, 320–330.
  53. Esmaeili, L., Nasiri, M., & Minaei-Bidgoli, B. (2011). Personalizing group recommendation to social network users. Web Information Systems and Mining: International Conference, WISM 2011, Taiyuan, China, September 24-25, 2011, Proceedings, Part I, 124–133.
  54. Daryabari, M., Minaei-Bidgoli, B., & Parvin, H. (2011). Localizing program logical errors using extraction of knowledge from invariants. Experimental Algorithms: 10th International Symposium, SEA 2011, Kolimpari, Chania, Crete, Greece, May 5-7, 2011. Proceedings 10, 124–135.
  55. Parvin, H., Minaei-Bidgoli, B., & Parvin, S. (2011). An accumulative points/votes based approach for feature selection. Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications: 16th Iberoamerican Congress, CIARP 2011, Pucón, Chile, November 15-18, 2011. Proceedings 16, 399–408.
  56. Parvin, H., Minaei-Bidgoli, B., & Parvin, S. (2011). A scalable heuristic classifier for huge datasets: a theoretical approach. Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications: 16th Iberoamerican Congress, CIARP 2011, Pucón, Chile, November 15-18, 2011. Proceedings 16, 380–390.
  57. Parvin, H., Minaei-Bidgoli, B., & Beigi, A. (2011). A new classifier ensembles framework. Knowledge-Based and Intelligent Information and Engineering Systems: 15th International Conference, KES 2011, Kaiserslautern, Germany, September 12-14, 2011, Proceedings, Part I 15, 110–119.
  58. Fouladgar, M., Minaei-Bidgoli, B., & Parvin, H. (2011). Enriching Dynamically Detected Invariants in the Case of Arrays. ICCSA (5), 622–632.
  59. Alizadeh, H., Minaei, B., & Parvin, H. (2011). A new criterion for clusters validation. Artificial Intelligence Applications and Innovations: 12th INNS EANN-SIG International Conference, EANN 2011 and 7th IFIP WG 12.5 International Conference, AIAI 2011, Corfu, Greece, September 15-18, 2011, Proceedings, Part II, 110–115.
  60. Parsa, S., Minaei, B., Daryabari, M., & Parvin, H. (2011). New efficient techniques for dynamic detection of likely invariants. Adaptive and Natural Computing Algorithms: 10th International Conference, ICANNGA 2011, Ljubljana, Slovenia, April 14-16, 2011, Proceedings, Part I 10, 381–390.
  61. Danesh, M., Naghibzadeh, M., Totonchi, M. R. A., Danesh, M., Minaei, B., & Shirgahi, H. (2011). Data clustering based on an efficient hybrid of K-harmonic means, PSO and GA. Transactions on Computational Collective Intelligence IV, 125–140.
  62. Parvin, H., Minaei, B., Alizadeh, H., & Beigi, A. (2011). A novel classifier ensemble method based on class weightening in huge dataset. Advances in Neural Networks–ISNN 2011: 8th International Symposium on Neural Networks, ISNN 2011, Guilin, China, May 29–June 1, 2011, Proceedings, Part II 8, 144–150.
  63. Parvin, H., Minaei, B., & Ghatei, S. (2011). A new particle swarm optimization for dynamic environments. Computational Intelligence in Security for Information Systems: 4th International Conference, CISIS 2011, Held at IWANN 2011, Torremolinos-Málaga, Spain, June 8-10, 2011. Proceedings, 293–300.
  64. Parvin, H., Minaei, B., & Alizadeh, H. (2011). A new adaptive framework for classifier ensemble in multiclass large data. Computational Science and Its Applications-ICCSA 2011: International Conference, Santander, Spain, June 20-23, 2011. Proceedings, Part I 11, 526–536.
  65. Parvin, H., Minaei, B., Beigi, A., & Helmi, H. (2011). Classification ensemble by genetic algorithms. Adaptive and Natural Computing Algorithms: 10th International Conference, ICANNGA 2011, Ljubljana, Slovenia, April 14-16, 2011, Proceedings, Part I 10, 391–399.
  66. Parvin, H., Minaei, B., Karshenas, H., & Beigi, A. (2011). A new N-gram feature extraction-selection method for malicious code. Adaptive and Natural Computing Algorithms: 10th International Conference, ICANNGA 2011, Ljubljana, Slovenia, April 14-16, 2011, Proceedings, Part II 10, 98–107.
  67. Parvin, H., Minaei, B., & Alizadeh, H. (2011). A heuristic classifier ensemble for huge datasets. Active Media Technology: 7th International Conference, AMT 2011, Lanzhou, China, September 7-9, 2011. Proceedings 7, 29–38.
  68. Parvin, H., Minaei, B., & Parvin, S. (2011). A metric to evaluate a cluster by eliminating effect of complement cluster. KI 2011: Advances in Artificial Intelligence: 34th Annual German Conference on AI, Berlin, Germany, October 4-7, 2011. Proceedings 34, 246–254.
  69. Rasooli, M. S., Faili, H., & Minaei-Bidgoli, B. (2011). Unsupervised identification of Persian compound verbs. Advances in Artificial Intelligence: 10th Mexican International Conference on Artificial Intelligence, MICAI 2011, Puebla, Mexico, November 26-December 4, 2011, Proceedings, Part I 10, 394–406.
  70. Minaei-Bidgoli, B., Esmaeili, L., & Nasiri, M. (2011). Comparison of group recommendation techniques in social networks. 2011 1st International EConference on Computer and Knowledge Engineering (ICCKE), 236–241.
  71. Fouladgar, M. H., Parvin, H., & Minaei, B. (2011). Theoretical Feasibility of Conditional Invariant Detection. Innovative Computing Technology: First International Conference, INCT 2011, Tehran, Iran, December 13-15, 2011. Proceedings, 172–185.
  72. Alizadeh, H., Parvin, H., Moshki, M., & Minaei, B. (2011). A new clustering ensemble framework. Innovative Computing Technology: First International Conference, INCT 2011, Tehran, Iran, December 13-15, 2011. Proceedings, 216–224.
  73. Fouladgar, H., Parvin, H., Alizadeh, H., & Minaei, B. (2011). Dynamics Invariant Extension of Arrays in Daikon Like Tools. Innovative Computing Technology: First International Conference, INCT 2011, Tehran, Iran, December 13-15, 2011. Proceedings, 161–171.
  74. Rasooli, M. S., Kashefi, O., & Minaei-Bidgoli, B. (2011). Extracting parallel paragraphs and sentences from english-persian translated documents. Information Retrieval Technology: 7th Asia Information Retrieval Societies Conference, AIRS 2011, Dubai, United Arab Emirates, December 18-20, 2011. Proceedings 7, 574–583.
  75. Rasooli, M. S., Kahefi, O., & Minaei-Bidgoli, B. (2011). Effect of adaptive spell checking in Persian. 2011 7th International Conference on Natural Language Processing and Knowledge Engineering, 161–164.
  76. Ghaderzadeh, A., & Minaei-Bidgoli, B. (2010). Tuning Topical Query Classification in Large Search Engines to Understand Hidden User Information Need. DMIN, 65–70.
  77. Rastegar-Mojarad, M., Talatian-Azad, S., & Minaei-Bidgoli, B. (2010). A survey on biological data analysis by biclustering. 2010 International Conference on Educational and Information Technology, 1, V1–100.
  78. Mohseni, M., & Minaei-Bidgoli, B. (2010). A Persian Part-Of-Speech Tagger Based on Morphological Analysis. LREC.
  79. Beigi, A., Parvin, H., Mozayani, N., & Minaei, B. (2010). Improving reinforcement learning agents using genetic algorithms. Active Media Technology: 6th International Conference, AMT 2010, Toronto, Canada, August 28-30, 2010. Proceedings 6, 330–337.
  80. Parsa, S., Vahidi-Asl, M., Arabi, S., & Minaei-Bidgoli, B. (2009). Software fault localization using elastic net: A new statistical approach. Advances in Software Engineering: International Conference on Advanced Software Engineering and Its Applications, ASEA 2009 Held as Part of the Future Generation Information Technology Conference, FGIT 2009, Jeju Island, Korea, December 10-12, 2009. Proceedings, 127–134.
  81. Parsa, S., Vahidi-Asl, M., Naree, S. A., & Minaei-Bidgoli, B. (2009). Statistical software debugging: From bug predictors to the main causes of failure. 2009 Second International Conference on the Applications of Digital Information and Web Technologies, 802–807.
  82. Kardan, N., & Minaei-Bidgoli, B. (2009). A Novel Fuzzy Rule-Based Classification System Based on Classifier Selection Strategy. 2009 International Conference on Computational Intelligence and Software Engineering, 1–4.
  83. Ghaffarian, H., Parvin, H., & Minaei, B. (2009). A new approach in feature subset selection based on fuzzy entropy concept. 2009 14th International CSI Computer Conference, 60–64.
  84. Gharghe, Z. E., & Bidgoli, B. M. (2009). Weighted shingling: an adaptation of shingling for weighted shingles. 2009 International Conference on Innovations in Information Technology (IIT), 150–154.
  85. 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. 2009 International Conference on Application of Information and Communication Technologies, 1–7.
  86. 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. 2009 International Conference on Information and Communication Technologies, 215–220.
  87. Jalali, L., Nasiri, M., & Minaei, B. (2009). A hybrid feature selection method based on fuzzy feature selection and consistency measures. 2009 IEEE International Conference on Intelligent Computing and Intelligent Systems, 1, 718–722.
  88. Koopaei, M., & Minaei-Bidgoli, B. (2009). A new method for ranking changes in customer’s behavioral patterns in department stores. Proceedings of the 11th International Conference on Electronic Commerce, 317–322.
  89. Parvin, H., Alizadeh, H., & Minaei-Bidgoli, B. (2009). Validation Based Modified K-Nearest Neighbor. AIP Conference Proceedings, 1127(1), 153–161.
  90. Shokrollahi-Far, M., Minaei, B., Barzegar, I., Hossein-Zadeh, H., Ghasdi, M., & Hoseini, S. (2009). Bootstrapping tagged islamic corpora. Proceedings of International Conference Arabic Language Resources and Tools. Cairo, Egypt.
  91. Rastegar-Mojarad, M., & Minaei-Bidgoli, B. (2009). MRC: Multi Relational Clustering approach. DMIN, 84–89.
  92. Parvin, H., Alizadeh, H., Moshki, M., Minaei-Bidgoli, B., & Mozayani, N. (2008). Divide & conquer classification and optimization by genetic algorithm. 2008 Third International Conference on Convergence and Hybrid Information Technology, 2, 858–863.
  93. Alizadeh, H., Hasani-Bafarani, A., Parvin, H., Minaei, B., & Kangavari, M. R. (2008). Dairy cattle judging: An innovative application for fuzzy expert system. Proceedings of the World Congress on Engineering and Computer Science, 22–24.
  94. Jalalvand, A., Minaei, B., Atabaki, G., & Jalalvand, S. (2008). A new interestingness measure for associative rules based on the geometric context. 2008 Third International Conference on Convergence and Hybrid Information Technology, 2, 199–203.
  95. Fakouri, R., Zamani, B., Fathy, M., & Minaei, B. (2008). Region-based image clustering and retrieval using fuzzy similarity and relevance feedback. 2008 International Conference on Computer and Electrical Engineering, 383–387.
  96. Lajevardi, S. B., & Minaei-Bidgoli, B. (2008). Combination of time series, decision tree and clustering: A case study in aerology event prediction. 2008 International Conference on Computer and Electrical Engineering, 111–115.
  97. 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. 2nd International Conference on Inductive Modelling, 185.
  98. 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. 2nd International Conference on Inductive Modelling, 197.
  99. 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. 2008 Fourth International Conference on Networked Computing and Advanced Information Management, 2, 339–344.
  100. Lajevardi, S. B., & Minaei-Bidgoli, B. (2008). Comparison between ANN and Decision Tree in Aerology Event Prediction. 2008 International Conference on Advanced Computer Theory and Engineering, 533–537.
  101. Minaei-Bidgoli, B., & Lajevardi, S. B. (2008). Correlation mining between time series stream and event stream. 2008 Fourth International Conference on Networked Computing and Advanced Information Management, 2, 333–338.
  102. Minaei-Bidgoli, B., & Rafati, L. (2008). Business Service Modeling in Service-Oriented Enterprises. 2008 Fourth International Conference on Networked Computing and Advanced Information Management, 2, 296–301.
  103. Mohammadi, M., Alizadeh, H., & Minaei-Bidgoli, B. (2008). Neural network ensembles using clustering ensemble and genetic algorithm. 2008 Third International Conference on Convergence and Hybrid Information Technology, 2, 761–766.
  104. 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. 2008 Third International Conference on Digital Information Management, 526–531.
  105. Mohseni, M., Motalebi, H., Minaei-Bidgoli, B., & Shokrollahi-far, M. (2008). A Farsi part-of-speech tagger based on Markov model. Proceedings of the 2008 ACM Symposium on Applied Computing, 1588–1589.
  106. 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. 2008 Ninth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing, 635–639.
  107. Parvin, H., Alizadeh, H., Minaei-Bidgoli, B., & Analoui, M. (2008). CCHR: combination of classifiers using heuristic retraining. 2008 Fourth International Conference on Networked Computing and Advanced Information Management, 2, 302–305.
  108. Parvin, H., Alizadeh, H., & Minaei-Bidgoli, B. (2008). A new approach to improve the vote-based classifier selection. 2008 Fourth International Conference on Networked Computing and Advanced Information Management, 2, 91–95.
  109. Parvin, H., Alizadeh, H., Fathy, M., & Minaei-Bidgoli, B. (2008). Improved Face Detection Using Spatial Histogram Features. IPCV, 381–386.
  110. 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. 2008 Fourth International Conference on Networked Computing and Advanced Information Management, 2, 137–142.
  111. Hajihashemi, Z., & Minaei, B. (2008). Improving Noise Clustering Algorithm Using Ant Colony Optimization. 2008 International Conference on Computer Science and Software Engineering, 1, 1077–1080.
  112. Hamid, P., Hosein, A., & Behrouz, M. B. (2008). MKNN: modified k-Nearest Neighbor. Proceeding of the World Congress on Engineering and Computer Science, 1.
  113. Parvin, H., Alizadeh, H., & Minaei-Bidgoli, B. (2008). MKNN: Modified k-nearest neighbor. Proceedings of the World Congress on Engineering and Computer Science, 1.
  114. Hamraz, S. H., Minaei-Bidgoli, B., & Punch, W. F. (2007). VWM: An Improvement to Multiagent Coordination in Highly Dynamic Environments. Multiagent System Technologies: 5th German Conference, MATES 2007, Leipzig, Germany, September 24-26, 2007. Proceedings 5, 98–108.
  115. Fadaeieslam, M. J., Minaei-Bidgoli, B., Fathy, M., & Soryani, M. (2007). Comparison of two feature selection methods in intrusion detection systems. 7th IEEE International Conference on Computer and Information Technology (CIT 2007), 83–86.
  116. Vahidipour, S. M., & Minaei, B. (2006). Using Genetic Algorithms for multi-objective automated Graph Drawing. The 2006 International Conference on Artificial Intelligence (ICAI’06), 1.
  117. Mohseni, M., & Minaei, B. (2006). An Efficient Hybrid Fuzzy Clustering Method. 2006 First International Workshop on Semantic Media Adaptation and Personalization (SMAP’06), 43–48.
  118. Vahidipour, M., & Minaei-Bidgoli, B. (2006). Using Multi-objective Optimization for Automated Graph Drawing. IC-AI, 217–223.
  119. Minaei-Bidgoli, B., Tan, P.-N., & Punch, W. F. (2004). Mining interesting contrast rules for a web-based educational system. 2004 International Conference on Machine Learning and Applications, 2004. Proceedings., 320–327.
  120. Minaei-Bidgoli, B., Topchy, A. P., & Punch, W. F. (2004). A comparison of resampling methods for clustering ensembles. IC-AI, 939–945.
  121. Minaei-Bidgoli, B., Kortemeyer, G., & Punch, W. F. (2004). Mining feature importance: Applying evolutionary algorithms within a web-based educational system. Proc. of the Int. Conf. on Cybernetics and Information Technologies, Systems and Applications, CITSA.
  122. Minaei-Bidgoli, B., Topchy, A., & Punch, W. F. (2004). Ensembles of partitions via data resampling. International Conference on Information Technology: Coding and Computing, 2004. Proceedings. ITCC 2004., 2, 188–192.
  123. Topchy, A., Minaei-Bidgoli, B., Jain, A. K., & Punch, W. F. (2004). Adaptive clustering ensembles. Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004., 1, 272–275.
  124. Minaei-Bidgoli, B., Kortemeyer, G., & Punch, W. F. (2004). Optimizing Classification Ensembles via for a Web-Based Educational System. Structural, Syntactic, and Statistical Pattern Recognition: Joint IAPR International Workshops SSPR... and SPR...: Proceedings, 2396, 397.
  125. Minaei-Bidgoli, B., Kortemeyer, G., & Punch, W. F. (2004). Enhancing Online Learning Performance: An Application of Data Mining Methods. CATE, 173–178.
  126. Minaei-Bidgoli, B., Kortemeyer, G., & Punch, W. F. (2004). Optimizing classification ensembles via a genetic algorithm for a web-based educational system. Structural, Syntactic, and Statistical Pattern Recognition: Joint IAPR International Workshops, SSPR 2004 and SPR 2004, Lisbon, Portugal, August 18-20, 2004. Proceedings, 397–406.
  127. Minaei-Bidgoli, B., Kortemeyer, G., & Punch, W. (2004). Association analysis for an online education system. Proceedings of the 2004 IEEE International Conference on Information Reuse and Integration, 2004. IRI 2004., 504–509.
  128. Minaei-Bidgoli, B., & Punch, W. F. (2003). Using genetic algorithms for data mining optimization in an educational web-based system. Genetic and Evolutionary Computation—GECCO 2003: Genetic and Evolutionary Computation Conference Chicago, IL, USA, July 12–16, 2003 Proceedings, Part II, 2252–2263.
  129. 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. IEEE Frontiers in Education Conference, 0–7803.
  130. 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. 33rd Annual Frontiers in Education, 2003. FIE 2003., 1, T2A–13.
  131. Elahimanesh, M. H., Minaei-Bidgoli, B., & Malekinezhad, H. Automatic classification of Islamic Jurisprudence Categories. Workshop Organizers, 25.
  132. Shahmohammadi, M., Alizadeh, T., Bijani, M. H., & Minaei, B. A framework for detecting Holy Quran inside Arabic and Persian texts. Workshop Organizers, 71.
  133. Alizadeh, H., Amirgholipour, S. K., Seyedaghaee, N. R., & Minaei-Bidgoli, B. Using Clustering Ensemble in Classification Problems. Fourth Int. Conf. on Intelligent Computing and Information Systems (ICICIS09), 19–22.