Hamid Beigy
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Publications

List of papers is also available on DBLP and Google scholar profile

Journal Papers

  1. Mahmood Karimian and Hamid Beigy, “Concept Drift Handling: A Domain Adaptation Perspective”, Expert Systems with Applications. Vol. 224, pp. 119946 1-13 (August 2023).

  2. Alireza Ghadimi and Hamid Beigy, “SGCSumm: An extractive multi-document summarization method based on pre-trained language model, submodularity, and graph convolutional neural networks”, Expert Systems with Applications. Vol. 215, pp. 119308 1-13 (April 2023).

  3. Fariba Lotfi, Amin Beheshti, Helia Farhood, Matineh Pooshideh, Mansour Jamzad, and Hamid Beigy, “Storytelling with Image Data: A Systematic Review and Comparative Analysis of Methods and Tools”, Algorithms. Vol. 16, No. 3, pp. 135 1-40 (March 2023).

  4. Arman Sepehr and Hamid Beigy, “Structural virality estimation and maximization in diffusion networks”, Expert Systems with Applications, Vol. 206, pp. 117657 1-10 (November 2022).

  5. Zohreh Fallahnejad and Hamid Beigy, “Attention-based skill translation models for expert finding”, Expert Systems with Applications, Vol. 193, pp. 116433 1-10 (May 2022).

  6. Alireza Ghadimi and Hamid Beigy, “Hybrid multi-document summarization using pre-trained language models”, Expert Systems with Applications. Vol. 192, pp. 116292 1-10 (April 2022).

  7. Ahmad khajenezhad and Hatef Madani and Hamid Beigy, “Masked Autoencoder for Distribution Estimation on Small Structured Datasets”, IEEE Transactions on Neural Networks and Learning Systems, Vol. 32, No. 11, pp. 4997-5007, (November 2021).

  8. Hamid Beigy and Mohammad Reza Meybodi, “A sampling method based on distributed learning automata for solving stochastic shortest path problem”, Knowledge-Based Systems, Vol. 212, pp. 106638 (January 2021).

  9. Ahmad khajenezhad and Mohammad Ali Bashiri and Hamid Beigy, “A Distributed Density Estimation Algorithm And Its Application To Naive Bayes Classification”, Applied Soft Computing, Vol. 98, pp. 106837, (January 2021).

  10. Abdulrahman Lotfi and Parham Moradi and Hamid Beigy, “Density peaks clustering based on density backbone and fuzzy neighborhood”, Pattern Recognition, Vol. 107, pp. 107449 1-18, (November 2020).

  11. Alireza Ghadimi and Hamid Beigy, “Deep submodular network: An application to multi-document summarization”, Expert Systems with Applications. Vol. 152, pp. 113392 1-12 (August 2020).

  12. Hamid Beigy and Mohammad Reza Meybodi, “An iterative stochastic algorithm based on distributed learning automata for finding the stochastic shortest path in stochastic graphs”, Journal of Supercomputing, Vol. 76, pp. 5540-5562 (July 2020).

  13. Shahab Behjati and Hamid Beigy, “Improved K2 Algorithm for Bayesian Network Structure Learning”, Engineering Applications of Artificial Intelligence, Vol. 91, pp. 103617 1-12. (May 2020).

  14. Ahmad Ali Abin and Mohammad Ali Bashiri and Hamid Beigy, “Learning a metric when clustering data points in the presence of constraints”, Advances in Data Analysis and Classification, Vol. 14, pp. 29-56. (March 2020).

  15. Sasan Maleki and Talal Rahwan and Siddhartha Ghosh and Areej Malibari and Daniyal Alghazzawi and Alex Rogers and Hamid Beigy and Nicholas R. Jennings, “The Shapley value for a fair division of group discounts for coordinating cooling loads”, Plos One, Vol. 15, No. 1,pp. e0227049 1-28, (January 2020). [pdf]

  16. Pooya Ashtari and Fateme Nateghi Haredasht and Hamid Beigy, “Supervised Fuzzy Partitioning”, Pattern Recognition, Vol. 97, pp. 107013 1-15, (January 2020).

  17. Ali Derakhshan and Hamid Beigy, “Sentiment analysis on stock social media for stock price movement prediction”, Engineering Applications of Artificial Intelligence, Vol. 85, pp. 569-578. (October 2019).

  18. Poorya ZareMoodi and Sajjad Kamali Siahroudi and Hamid Beigy,“Concept-evolution detection in non-stationary data streams: a fuzzy clustering approach”, Knowledge and Information Systems, Vol. 60, No. 3, pp. 1329–1352, (September 2019).

  19. Arman Sepehr and Hamid Beigy, “Viral cascade probability estimation and maximization in diffusion networks”, IEEE Trans. on Knowledge and Data Engineering, Vol. 31, No. 3, pp. 589-600 (March 2019)

  20. Seyed Jalal Kazamitabar and Nasrin Taghizadeh and Hamid Beigy, “A graph-theoretic approach toward autonomous skill acquisition in reinforcement learning”, Evolving Systems, Vol. 9, No. 3, pp. 227–244 (September 2018)
    The source codes are available for download at code

  21. Sajjad Kamali Siahroudi and Poorya ZareMoodi and Hamid Beigy, “Detection of evolving concepts in non-stationary data streams: A multiple kernel learning approach”, Expert Systems with Applications, Vol. 91, pp. 187-197, (January 2018)

  22. Mahmoud Neshati, Zohreh Fallahnejad, and Hamid Beigy “On dynamicity of expert finding in community question answering,” Information Processing and Management , Vol. 53, No. 5, pp. 1026–1042, (Sep. 2017). [pdf]

  23. Meysam Ahangarn, Nasrin Taghizadeh, and Hamid Beigy, “Associative cellular learning automata and its applications,” Applied soft computing, vol. 53, pp. 1–18 (April 2017). [pdf]

  24. Zahra Narimani, Hamid Beigy, Ashar Ahmad, Ali Masoudi-Nejad, and Holger Frohlich, “Expectation propagation for large scale Bayesian inference of non-linear molecular networks from perturbation data”, PLOS One, Vol. 20, No. 2, pp. e0171240, (Feb. 2017). [pdf]

  25. Mahdie Dehghan, Hamid Beigy, and Poorya ZareMoodi, “A novel concept drift detection method in data streams using ensemble classifiers”, Intelligent Data Analysis, Vol. 20, No. 6, pp. 1329– 1350, (Dec. 2016). [pdf]

  26. Mohammad Javad Hosseini, Ameneh Gholipour, and Hamid Beigy, “An ensemble of cluster based classifiers for semi-supervised classification of non-stationary data streams”, Knowledge and Information Systems, Vol. 46, No. 3, pp. 567–597, (Mar. 2016). [pdf]

  27. Zahra Rahaie and Hamid Beigy, “Critic learning in multi agent credit assignment problem”, Journal of Intelligent and Fuzzy Systems, Vol. 30, No. 6, pp. 3465–3480, (Mar. 2016).

  28. Mohammad Zaman Zamani, Hamid Beigy, and Amirreza Shaban, “Cascading randomized weighted majority: a new online ensemble learning algorithm”, Intelligent Data Analysis, Vol. 20, No. 4, pp. 877–889, (June 2016).

  29. Ahmad Ali Abin and Hamid Beigy, “Active constrained fuzzy clustering: A multiple kernels learning approach”, Pattern Recognition, Vol. 48, No. 3, pp. 953–967, (Mar. 2015).

  30. Hamid Beigy and Mohammad Reza Meybodi, “A learning automata-based adaptive uniform fractional guard channel algorithm”, Journal of Supercomputing, Vol. 71, No. 3, pp. 871–893, (Mar. 2015).

  31. Elham Ghanbari and Hamid Beigy, “Incremental RotBoost algorithm: An application for spam filtering”, Intelligent Data Analysis, Vol. 19, No. 2, pp. 449–468, (May 2015).

  32. Milad Mozafari, Mohammad Ebrahim Shiri, and Hamid Beigy, “A cooperative learning method based on cellular learning automata and its application in optimization problems”, Journal of Computational Science, Vol. 11, pp. 279–288, (Nov. 2015). [pdf]

  33. Poorya ZareMoodi, Hamid Beigy, and Sajjad Kamali Siahroudi, “Novel class detection in data streams using local patterns and neighborhood graph”, Neurocomputing, Vol. 158, No. 3, pp. 234–245, (Mar. 2015).

  34. Ahmad Ali Abin and Hamid Beigy, “Active selection of clustering constraints: A sequential approach”, Pattern Recognition, Vol. 47, No. 3, pp. 1443–1458, (Mar. 2014).

  35. Ahmad Ali Abin, Farzaneh Mahdisoltani, and Hamid Beigy, “WISECODE: wise image segmentation based on community detection”, Imaging Science Journal, Vol. 62, No. 6, pp. 327–336, (July 2014).

  36. Sepideh Adabi, Ali Movaghar, Amir Masoud Rahmani, Hamid Beigy, and Hengameh Dastmalchy-Tabrizi, “A new fuzzy negotiation protocol for grid resource allocation”, Journal of Network and Computer Applications, Vol. 37, pp. 89–126, (Jan. 2014).

  37. Samira Afzal and Hamid Beigy, “A localization algorithm for large scale mobile wireless sensor networks: a learning approach”, Journal of Supercomputing, Vol. 69, No. 1, pp. 98–120, (July 2014).

  38. Behnaz Moradabadi and Hamid Beigy, “A new real-coded Bayesian optimization algorithm based on a team of learning automata for continuous optimization”, Genetic Programming and Evolvable Machines, Vol. 15, No. 2, pp. 169–193, (June 2014).

  39. Mahmood Neshati, Hamid Beigy, and Djoerd Hiemstra, “Expert group formation using facility location analysis”, Information Processing & Management, Vol. 50, No. 2, pp. 361–383, (Mar. 2014).

  40. Mahmood Neshati, Seyyed Hadi Hashemi, and Hamid Beigy, “Expertise finding in bibliographic network: topic dominance learning approach”, IEEE Transactions on Cybernetics, Vol. 44, No. 12, pp. 2646–2657, (Dec. 2014).

  41. Mahmood Neshati, Djoerd Hiemstra, Ehsaneddin Asgari, and Hamid Beigy, “Integration of scientific and social networks”, World Wide Web, Vol. 17, No. 5, pp. 1051–1079, (Sept. 2014).

  42. Zahra Rahaie and Hamid Beigy, “Expertness framework in multi-agent systems and its application in credit assignment problem”, Intelligent Data Analysis, Vol. 18, No. 3, pp. 511–528, (May 2014).

  43. Sepideh Adabi, Ali Movaghar, Amir Masoud Rahmani, and Hamid Beigy, “Negotiation strategies considering market, time and behavior functions for resource allocation in computational grid”, Journal of Supercomputing, Vol. 66, No. 3, pp. 1350–1389, (Dec. 2013)

  44. Nasrin Taghizadeh and Hamid Beigy, “A novel graphical approach to automatic abstraction in reinforcement learning”, Robotics and Autonomous Systems, Vol. 61, No. 8, pp. 821–835, (Aug. 2013).

  45. Sabereh Sadeghi and Hamid Beigy, “A new ensemble method for feature ranking in text mining”, International Journal on Artificial Intelligence Tools, Vol. 22, No. 3, (June 2013).

  46. Alborz Mazloomian and Hamid Beigy, “Inferring signaling pathways using interventional data”, Intelligent Data Analysis, Vol. 17, No. 2, pp. 295–308, (May 2013).

  47. Mohammad Javad Hosseini, Zahra Ahmadi, and Hamid Beigy, “Using a classifier pool in accuracy based tracking of recurring concepts in data stream classification”, Evolving Systems, Vol. 4, No. 1, pp. 43–60, (Mar. 2013).

  48. Sepideh Adabi, Ali Movaghar, Amir Masoud Rahmani, and Hamid Beigy, “Market-based grid resource allocation using new negotiation model”, Journal of Network and Computer Applications, Vol. 36, No. 1, pp. 543–565, (Jan. 2013).

  49. Zohre Karimi, Hassan Abolhassani, and Hamid Beigy, “A new method of mining data streams using harmony search”, Journal of Intelligent Information Systems, Vol. 39, No. 2, pp. 491–511, (Oct. 2012).

  50. Zahra Narimani, Hamid Beigy, and Hassan Abolhassani, “A new genetic algorithm for multiple sequence alignment”, International Journal of Computational Intelligence and Applications, Vol. 11, No. 4, (Dec. 2012).

  51. Zahra Nikdel and Hamid Beigy, “A genetic programming-based learning algorithms for pruning cost-sensitive classifiers”, International Journal of Computational Intelligence and Applications, Vol. 11, No. 2, (June 2012).

  52. Mehrnoush Famil Saeedian and Hamid Beigy, “Learning to filter spam emails: An ensemble learning approach”, International Journal of Hybrid Intelligent Systems, Vol. 9, No. 1, pp. 27–43, (Apr. 2012).

  53. Hamid Beigy and Mohammad Reza Meybodi, “Learning automata based dynamic guard channel algorithms”, Computers & Electrical Engineering, Vol. 37, No. 4, pp. 601–613, (July 2011).

  54. Hamid Beigy and Mohammad Reza Meybodi, “Cellular learning automata with multiple learning automata in each cell and its applications”, IEEE Transactions on Systems, Man, and Cybernetics, Part B, Vol. 40, No. 1, pp. 54–65, (Feb. 2010).

  55. Hamid Sarbazi-Azad, Alireza Shahrabi, and Hamid Beigy, “Special issue on network-based high performance computing”, Journal of Supercomputing, Vol. 53, No. 1, pp. 1–4, (July 2010).

  56. Hamid Beigy and Mohammad Reza Meybodi, “A learning automata-based algorithm for determination of the number of hidden units for three-layer neural networks”, International Journal of Systems Science, Vol. 40, No. 1, pp. 101–118, (Jan. 2009).

  57. Hamid Beigy and Mohammad Reza Meybodi, “Adaptive limited fractional guard channel algorithms: a learning automata approach”, International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, Vol. 17, No. 6, pp. 881–913, (Dec. 2009).

  58. Hamid Beigy and Mohammad Reza Meybodi, “Cellular learning automata based dynamic channel assignment algorithms”, International Journal of Computational Intelligence and Applications, Vol. 8, No. 3, pp. 287–314, (Sept. 2009).

  59. Hamid Beigy and Mohammad Reza Meybodi, “Asynchronous cellular learning automata”, Automatica, Vol. 44, No. 5, pp. 1350–1357, (May 2008).

  60. Hamid Beigy and Mohammad Reza Meybodi, “Open synchronous cellular learning automata”, Advances in Complex Systems, Vol. 10, No. 4, pp. 527–556, (Dec. 2007).

  61. Hamid Beigy and Mohammad Reza Meybodi, “A new continuous action-set learning automaton for function optimization”, Journal of Franklin Institue, Vol. 343, No. 2, pp. 27–47, (Jan. 2006).

  62. Hamid Beigy and Mohammad Reza Meybodi, “Utilizing distributed learning automata to solve stochastic shortest path problems”, International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, Vol. 14, No. 5, pp. 591–615, (Oct. 2006).

  63. Hamid Beigy and Mohammad Reza Meybodi, “A general call admission policy for next generation wireless networks”, Computer Communications, Vol. 28, No. 16, pp. 1798–1813, (Oct. 2005).

  64. Hamid Beigy and Mohammad Reza Meybodi, “An adaptive call admission algorithm for cellular networks”, Computers & Electrical Engineering, Vol. 31, No. 2, pp. 132–151, (Mar. 2005).

  65. Hamid Beigy and Mohammad Reza Meybodi, “A two-threshold guard channel scheme for minimizing blocking probability in communication networks”, International Journal of Engineering, Transactions B: Applications, Vol. 17, No. 3, pp. 247–264, (Dec. 2004).

  66. Hamid Beigy and Mohammad Reza Meybodi, “Adaptive uniform fractional channel algorithms”, Iranian Journal of Electrical and Computer Engineering, Vol. 3, No. 1, pp. 47–53, (Winter-Spring 2004).

  67. Hamid Beigy and Mohammad Reza Meybodi, “A mathematical framework for cellular learning automata”, Advances in Complex Systems, Vol. 7, No. 3-4, pp. 295–319, (Sept. 2004).

  68. Hamid Beigy and Mohammad Reza Meybodi, “A new fractional channel policy”, Journal of High Speed Networks, Vol. 13, No. 1, pp. 25–36, (Aug. 2004).

  69. Hamid Beigy and Mohammad Reza Meybodi, “User based call admission control policies for cellular mobile systems: a survey”, CSI Journal on Computer Science and Engineering, Vol. 1, No. 2(b), pp. 45–58, (2003).

  70. Mohammad Reza Meybodi, Hamid Beigy, and M. Taherkhani, “Cellular learning automata and its applications”, Sharif Journal of Science and Technology, Vol. 19, No. 25, pp. 54–77, (2003).

  71. Mohammad Reza Meybodi and Hamid Beigy, “A note on learning automata based schemes for adaptation of BP parameters”, Neurocomputing, Vol. 48, No. 3, pp. 957–974, (Nov. 2002).

  72. Mohammad Reza Meybodi and Hamid Beigy, “New learning automata based algorithms for adaptation of backpropagation algorithm parameters”, International Journal of Neural Systems, Vol. 12, No. 1, pp. 45–67, (Feb. 2002).

  73. Hamid Beigy and Mohammad Reza Meybodi, “Adaptation of momentum factor and steepness parameter in Backpropagation using fixed structure learning automata”, International Journal of Science and Technology (Iranica Saientia), Vol. 8, No. 4, pp. 250–264, (Oct. 2001).

  74. Hamid Beigy and Mohammad Reza Meybodi, “An algorithm based on learning automata for determining the minimum number of hidden units in three layers neural networks”, Amirkabir Journal of Science and Technology, Vol. 12, No. 46, pp. 111–136, (2001).

  75. Hamid Beigy and Mohammad Reza Meybodi, “Backpropagation algorithm adaptation parameters using learning automata”, International Journal of Neural Systems, Vol. 11, No. 3, pp. 219–228, (June 2001).

  76. Mohammad Reza Meybodi and Hamid Beigy, “Neural network engineering using learning automata: determining of desired size of three layer feedforward neural networks”, Journal of Faculty of Engineering, Vol. 34, No. 4, pp. 1–26, (Mar. 2001).

Conference Papers

  1. Hamed Hematian Hemati, Sayed Hesam Alavian, Hamid Beigy, and Hossein Sameti, “SUTNLP at SemEval-2023 Task 10: RLAT-Transformer for explainable online sexism detection”, ccepted for oral presentation in the 17th International Workshop on Semantic Evaluation (SemEval-2023), (July 13-14, 2023), Toronto, Canada.

  2. Hamed Hematian Hemati, Sayed Hesam Alavian, Hossein Sameti, and Hamid Beigy, “SUTNLP at SemEval-2023 Task 4: LG-Transformer for Human Value Detection”, ccepted for oral presentation in the 17th International Workshop on Semantic Evaluation (SemEval-2023), (July 13-14, 2023), Toronto, Canada.

  3. Heydar Soudani, Mohammad Hassan Mojab, and Hamid Beigy, “Persian Natural Language Inference: A Meta-learning approach”, Accepted for oral presentation in the 29th International Conference On computational Linguistics, (October 12-17, 2022), Gyeongju, Republic of Korea

  4. MohammadMahdi Aghajani and AliAkbar Badri and Hamid Beigy, “ParsTwiNER: A Corpus for Named Entity Recognition at Informal Persian”, Proceedings of the Seventh Workshop on Noisy User-generated Text (W-NUT 2021), (November 2021) [pdf].

  5. Fariba Lotfi and Mansour Jamzad and Hamid Beigy, “Automatic Image Annotation using Tag Relations and Graph Convolutional Networks”, Proceedings of the 5th International Conference on Pattern Recognition and Image Analysis, (April 2021) [pdf].

  6. Shahab Behjati and Hamid Beigy, “An Order-based Algorithm for Learning Structure of Bayesian Networks”, Proceedings of International Conference on Probabilistic Graphical Models, Vol. PMLR 72, pp. 25-36, (September 2018) [pdf].

  7. Poorya ZareMoodi, Sajjad Kamali Siahroudi, and Hamid Beigy, “A support vector based approach for classification beyond the learned label space in data streams”, Proceedings of the 31st Annual ACM Symposium on Applied Computing, pp. 910–915, (Apr. 2016).

  8. Maryam Shadloo, Hamid Beigy, and Siavash Haghiri, “Exploiting Structural Information of Data in Active Learning”, Lecture Notes in Computer Science, Vol. 8468, pp. 796–808, (June 2014).

  9. Mohsen Ghafoorian, Nasrin Taghizadeh, and Hamid Beigy, “Automatic abstraction in reinforcement learning using ant system algorithm”, Proceedings of AAAI Spring Symposium on Lifelong Machine Learning, pp. 9–14, (Mar. 2013).

  10. Ameneh Gholipour, Mohammad Javad Hosseini, and Hamid Beigy, “An adaptive regression tree for non-stationary data streams”, Proceedings of the 28th Annual ACM Symposium on Applied Computing (SAC 2013), pp. 815–817, (Mar. 2013).

  11. Seyyed Hadi Hashemi, Mahmood Neshati, and Hamid Beigy, “Expertise retrieval in bibliographic network: a topic dominance learning approach”, Proceedings of the 22nd ACM International Conference on Information and Knowledge Management (CIKM 2013), pp. 1117–1126, (Oct. 2013).

  12. Fereshte Khani, Mohammad Javad Hosseini, Ahmad Ali Abin, and Hamid Beigy, “An algorithm for discovering clusters of different densities or shapes in noisy data sets”, Proceedings of the 28th Annual ACM Symposium on Applied Computing (SAC 2013), pp. 144–149, (Mar. 2013).

  13. Mahmood Neshati, Ehsaneddin Asgari, Djoerd Hiemstra, and Hamid Beigy, “A joint classification method to integrate scientific and social networks”, Lecture Notes in Computer Science, Vol. 7814, pp. 122–133, (Mar. 2013).

  14. Mahmood Neshati, Hamid Beigy, and Djoerd Hiemstra, “Multi-aspect group formation using facility location analysis”, Proceedings of the Seventeenth Australasian Document Computing Symposium,(ADCS ’12), pp. 62–71, (Dec. 2012).

  15. Mohammad Javad Hosseini, Zahra Ahmadi, and Hamid Beigy, “New management operations on classifiers pool to track recurring concepts”, Proceeding of the 14th International Conference on Data Warehousing and Knowledge Discovery (DaWaK 2012), pp. 327–339, (Sept. 2012).

  16. Zahra Ahmadi and Hamid Beigy, “Semi-supervised ensemble learning of data streams in the presence of concept drift”, Proceedings of the 7th International Conference on Hybrid Artificial Intelligent Systems (HAIS 2012), pp. 526–537, (Mar. 2012).

  17. Ahmad Ali Abin and Hamid Beigy, “Clustering at presence of side information via weighted constraints ratio gap maximization”, Proceedings of the First International Workshop on Multi-view data, High Dimensionality, and External Knowledge: Striving for a Unified Approach to Clustering (3Clust’12), in conjunction with PAKDD 2012, pp. 27-38, (May 29, 2012).

  18. Elham Ghanbari and Hamid Beigy, “An incremental spam detection algorithm”, Proceedings of International Symposiums on Artificial Intelligence and Signal Processing(AISP), pp. 31-36, (June 2011).

  19. Ahmad Ali Abin, Farzaneh Mahdisoltani, and Hamid Beigy, “A new image segmentation algorithm: A community detection approach”, Proceedings of the 5th Indian International Conference on Artificial Intelligence (IICAI 2011), pp. 1047–1059, (Dec. 2011).

  20. Marzieh Davoodabadi and Hamid Beigy, “A new method for discovering subgoals and constructing options in reinforcement learning”, Proceedings of the 5th Indian International Conference on Artificial Intelligence (IICAI 2011), pp. 441–450, (Dec. 2011).

  21. Mohammad Javad Hosseini, Zahra Ahmadi, and Hamid Beigy, “Pool and accuracy based stream classification: A new ensemble algorithm on data stream classification using recurring concepts detection”, Proceedings of the 11th IEEE International Conference on Data Mining Workshops (ICDMW 2011), pp. 588–595, (Dec. 2011).

  22. Parinaz Sobhani and Hamid Beigy, “New drift detection method for data streams”, Proceedings of the Second International Conference on Adaptive and Intelligent Systems (ICAIS-2011) published in Lecture Notes in Computer Science, Vol. 6943, pp. 88–97, (Sept. 2011).

  23. Zahra Rahaie and Hamid Beigy, “Toward a solution to multi-agent credit assignment problem”, Proceedings of the First International Conference of Soft Computing and Pattern Recognition (SoCPaR 2009), pp. 563–568, (Dec. 2009).

  24. Seyed Jalal Kazemitabar and Hamid Beigy, “Automatic discovery of subgoals in reinforcement learning using strongly connected components”, Lecture Notes in Computer Science, Vol. 5506, pp. 829–834, (Nov. 2009).

  25. Zahra Rahaie and Hamid Beigy, “Addition of learning to critic agent as a solution to the multi-agent credit assignment problem”, Proceedings of the International Conference on Soft Computing, Computing with Words and Perceptions in System Analysis, Decision and Control(ICSCCW-09), pp. 1-4, (Sep. 2009).

  26. Meysam Ahangaran and H. Beigy, “Cellular learning automata with external input and its applications in pattern recognition”, Proceedings of the International Conference on Soft Computing, Computing with Words and Perceptions in System Analysis, Decision and Control(ICSCCW-09), pp. 1-4, (Sep. 2009).

  27. Seyed Rezgar Poorahmadi and Hamid Beigy, “Improving handover latency by cross-layer direct communication model in IEEE 802.16e broadband wireless access networks”, Proceedings of the International Conference on Computer and Network (ICCNT 2009), pp. 133-137, (Jul. 2009).

  28. Zahra Firouzi and Hamid Beigy, “new call admission control scheme based on new call bounding and thinning II schemes in cellular mobile networks”, Proceedings of the 2009 IEEE International Conference on ElectroInformation Technology (EIT 2009)/, pp. 40–45, (June 2009).

  29. Leila Mortazavi Far and Hamid Beigy, “A new fractional call admission control scheme in intergrated cellular network”, Proceedings of the 2009 IEEE International Conference on ElectroInformation Technology (EIT 2009)/, pp. 332–337, (June 2009).

  30. Seyed Jalal Kazemitabar and Hamid Beigy, “[https:doi.org10.1007978-3-642-01507-6_89 Using strongly connected components as a basis for autonomous skill acquisition in reinforcement learning”, Lecture Notes in Computer Sciences, Vol. 5551, pp. 794-801, (May 2009).

  31. Mehrnoush Famil Saeedian and Hamid Beigy, “Dynamic classifier selection using clustering for spam detection”, Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, CIDM 2009, pp. 84–88, (Apr. 2009).

  32. Mehrnoush Famil Saeedian and Hamid Beigy,“Spam detection using dynamic weighted voting based on clustering”, Proceedings of the Second International Symposium on Intelligent Information Technology Application, pp. 122-126, (Dec. 2008).

  33. Shahriar Etemadi Tajbakhsh, Ali Movaghar, and Hamid Beigy, “A evolutionary approach to generalized mirror sites problem”, Proceedings of the International Conference on Bio-Inspired Computational Methods Used for difficult Problems Solving (BICS-2008), pp. 50-58, (Nov. 2008).

  34. Seyed Jalal Kazemitabar and Hamid Beigy, “Automatic discovery of subgoals in reinforcement learning using strongly connected components”, Lecture Notes in Computer Sciences, Vol. 5506, pp. 827-832, (Oct. 2009).

  35. Hessam Sagha, Saeed Bagheri Shouraki, Hamid Beigy, Hossein Khasteh, and Elham Enayati “Genetic ink drop spread”, Proceedings of the International Symposium on Intelligent Information Technology Application, pp. 603-607, (Dec. 2008).

  36. Sajad Shirali Shahreza, Hamid Beigy, and Mohammad Hassan Shirali Shehreza, “Knapsack model for pixel based skin detection”, Proceedings of the fourth International Conference on Intelligent Information Hiding and Multimedia Signal Processing, pp. 581-584, (Aug. 2008).

  37. Saeedeh Momtazi, Somayeh Kafi, and Hamid Beigy, “Solving stochastic path problem: particle swarm optimization approach”, Lecture Notes in Artifitial Intelligence, Vol. 5027, pp. 590-600,( Jul. 2008).

  38. Mehrdad Khatir, Amir-Hossein Jahangir, and Hamid Beigy, “Investigating the Baldwin effect on cartesian genetic programming efficiency”, Proceedings of the IEEE Congress on Evolutionary Computation (CEC 2008), pp. 2360–2364, (June 2008).

  39. Mehran Najafi and Hamid Beigy, “Using PCA to improve evolutionary cellular automata algorithms”, Proceedings of Genetic and Evolutionary Computation Conference (GECCO 2008), pp. 1129–1130, (July 2008).

  40. Javad Safaei and Hamid Beigy, “Quine-McCluskey classification”, Proceedings of the IEEE/ACS International Conference on Computer Systems and Applications, pp. 404-411, (May 2007).

  41. Farzaneh Mirzazadeh, Babak Behsaz, and Hamid Beigy, “A new learning algorithm for the MAXQ hierarchical reinforcement learning method”, Proceedings of the International Conference on Information and Communication Technology, pp. 105-108, (March 2007).

  42. Reza Iraji, Mohammad Taghi Manzuri-Shalmani, Amir Hossein Jamalian, and Hamid Beigy, “IJA automaton: expediency and e-optimality properties”, Proceedings of the Firth IEEE International Conference on Cognitive Informatics, pp. 617–622, (July 2006).

  43. Hamid Beigy and Mohammad Reza Meybodi, “A new dynamic channel assignment algorithm: A cellular learning automata approach”, Proceedings of 8th World Multiconference on Systemics, Cybernetics and Informatics, (July 2004).

  44. Hamid Beigy and Mohammad Reza Meybodi, “Open cellular learning automata”, Proceedings of the 8th World Multiconference on Systemics, Cybernetics and Informatics, (July 2004).

  45. Mohammad Reza Meybodi and Hamid Beigy, “Solving stochastic shortest path problem using monte carlo sampling method: A distributed learning automata approach”, Proceedings of the Sixth International Conference on Neural Networks and Soft Computing, pp. 626–631, (June 2003).

  46. Hamid Beigy and Mohammad Reza Meybodi, “A self-organizing channel assignment algorithm: A cellular learning automata approach”, Lecture Notes in Computer Science, Vol. 2690, pp. 119-126, ( March 2003).

  47. Hamid Beigy and Mohammad Reza Meybodi, “An adaptive uniform fractional guard channel algorithm: A learning automata approach”, Lecture Notes in Computer Science, Vol. 2690, pp. 405-409, ( March 2003).

  48. Hamid Beigy and Mohammad Reza Meybodi, “A new continuous action-set learning automaton for function optimization”, Lecture Notes in Computer Science, Vol. 2869, pp. 960-967, ( Nov. 2003).

  49. Hamid Beigy and Mohammad Reza Meybodi, “Multi-threshold guard channel policy for next generation wireless networks”, Lecture Notes in Computer Science, Vol. 2869, pp. 755-762, ( Nov. 2003).

  50. Hamid Beigy and Mohammad Reza Meybodi, “A leaning automata based graph isomorphism algorithm”, Proceedings of the sixth International Joint Conference on Information Science, pp. 344–348, (Mar. 2002).

  51. Hamid Beigy and Mohammad Reza Meybodi, “A limited fractional guard channel scheme using learning automata”, Proceedings of the First EurAsian Conference on Advances in Information and Communication Technolog (EURASIA-ICT 2002), pp. 343–348, (Oct. 2002).

  52. Hamid Beigy and Mohammad Reza Meybodi, “Call admission control in cellular mobile networks: A learning automata approach”, Lecture Notes in Computer Science, Vol. 2510, pp. 450-457, ( Oct. 2002).

  53. Hamid Beigy and Mohammad Reza Meybodi, “A learning automata based dynamic guard channel scheme”, Lecture Notes in Computer Science, Vol. 2510, pp. 643-650, ( Oct. 2002).

  54. Hamid Beigy and Mohammad Reza Meybodi, “A new distributed learning automata based algorithm for solving stochastic shortest path problem”, Proceedings of the sixth International Joint Conference on Information Science, pp. 450–457, (Mar. 2002).

  55. Hamid Beigy and Mohammad Reza Meybodi, “An adaptive limited fractional guard channel policy using continuous action learning automata”, Proceedings of the 10th International Conference on Software, Telecommunications and Computer Networks, Croatia, Italy, Oct. 2002.

  56. Hamid Beigy and Mohammad Reza Meybodi, “Dynamic guard channel scheme using learning automata”, Proceedings of Sixth World Multiconference on Systemmics, Cybernetics and Informatics, Orlando, USA, (July 2002).

  57. Hamid Beigy and Mohammad Reza Meybodi, “Uniform fractional guard channel”, Proceedings of Sixth World Multiconference on Systemmics, Cybernetics and Informatics, Orlando, USA, (July 2002).

  58. Hamid Beigy and Mohammad Reza Meybodi, “A new distributed learning automata based algorithm for solving stochastic shortest path problem”, Proceedings of the 6th Joint Conference on Information Science, pp. 339–343, (Mar. 2002).

  59. Mohammad Reza Meybodi and Hamid Beigy, “A note on learning automata based schemes for adaptation of BP parameters. Lecture Notes in Computer Science, Vol. 1983, pp. 145-149, ( Oct. 2000).

  60. Mohammad Reza Meybodi and Hamid Beigy, “Adaptation of parameters of BP algorithm using learning automata. Proceedings. of th 6th Brazilian Symposium on Neural Networks, Vol. 1, pp. 24-31, ( Nov. 2000).

  61. Hamid Beigy and Mohammad Reza Meybodi, “Complete binary search mesh: A concurrent data structure for distributed memory parallel computers”, Proceedings of 4th Annual Iran Computer Society of Iran Computer Conference, Iran, pp. 247–263, (Jan. 1998) (In Persian).

  62. Mohammad Reza Meybodi and Hamid Beigy, “New learning automata based algorithms for adaptation of Backpropagation algorithm parameters”, Proceedings of 6th European Conference on Intelligent Techniques and Soft Computing, EUFIT-98, Vol. 3, pp. 339–343, Sept. 1998.

  63. Hamid Beigy and Ali Mohammadzadeh Eydgahi, “Adaptive Networks Based on Fuzzy Logic and Elastic Fuzzy Logic”, Proceedings of 3th Iranian Conference on Electrical Engineering, Tehran, Iran, pp. 371–379, (May 1996).

  64. Hamid Beigy and Ali Mohammadzadeh Eydgahi, “An adaptive fuzzy model reference control for robot manipulators”, Proceedings of International Conference on Automation, Indore, India, pp. 59–62, (1995).

  65. Hamid Beigy and Ali Mohammadzadeh Eydgahi, “Fuzzy modeling of two-dimensional linear systems”, Proceedings of Second International Symposium on Methods and Models in Automation and robotics, Miedzyzdroje, Poland, pp. 371– 379, (1995).

  66. Hamid Beigy, Ali Mohammadzadeh Eydgahi, and Serajaldin Katebi, “Elastic fuzzy logic for self-learning control systems”, Proceedings of IEEE International Conference on Neural Networks, pp. 622– 626, (Dec. 1995).

  67. Hamid Beigy, Ali Mohammadzadeh Eydgahi, and Serajaldin Katebi, “An Object-Oriented Framework in C++ for Implementation of Fuzzy Logic Controllers”, Proceedings of Second International Conference on on Applications of Fuzzy Systems, ICAFS-94, Tabriz, Iran, pp. 323–327, (Oct. 1994).

Book Chapters

  1. Hamid Beigy and Mohammad Reza Meybodi, “User based call admission control algorithms for cellular mobile systems”, in Quality of Service chitectures for Wireless Networks: Performance Metrics and Management, Edited by S. Adibi, R. Jain, S. Parekh, and M. Tofighbakhsh, IGI-Global press, pp. 151-182, (2010).

  2. Hamid Beigy and Ali Mohammadzadeh Eydgahi, “Neuro-fuzzy networks with hybrid learning”, In Applications of Artificial Intelligence in Engineering, Editors; R. A. Adey, G. Rzevski, and R. Teti, Computational Mechanics Publications, Southampton, UK, pp. 186-201, (July 1997).