Elastic fuzzy logic for self-learning control systems. - Hamid Beigy; Ali M. Eydgahi; S. D. Katebi (ICNN, 1995)

Adaptation of Parameters of BP Algorithm Using Learning Automata. - Hamid Beigy; Mohammad Reza Meybodi (SBRN, 2000)

Backpropagation Algorithm Adaptation Parameters Using Learning Automata. - Hamid Beigy; Mohammad Reza Meybodi (Int. J. Neural Syst., 2001)

Call Admission Control in Cellular Mobile Networks: A Learning Automata Approach. - Hamid Beigy; Mohammad Reza Meybodi (EurAsia-ICT, 2002)

A Learning Automata Based Dynamic Guard Channel Scheme. - Hamid Beigy; Mohammad Reza Meybodi (EurAsia-ICT, 2002)

A New Distributed Learning Automata Based Algorithm For Solving Stochastic Shortest Path Problem. - Hamid Beigy; Mohammad Reza Meybodi (JCIS, 2002)

A Learning Automata Based Graph Isomorphism Algorithm. - Hamid Beigy; Mohammad Reza Meybodi (JCIS, 2002)

New Learning Automata Based Algorithms for Adaptation of Backpropagation Algorithm Parameters. - Mohammad Reza Meybodi; Hamid Beigy (Int. J. Neural Syst., 2002)

A note on learning automata-based schemes for adaptation of BP parameters. - Mohammad Reza Meybodi; Hamid Beigy (Neurocomputing, 2002)

A Self-Organizing Channel Assignment Algorithm: A Cellular Learning Automata Approach. - Hamid Beigy; Mohammad Reza Meybodi (IDEAL, 2003)

An Adaptive Uniform Fractional Guard Channel Algorithm: A Learning Automata Approach. - Hamid Beigy; Mohammad Reza Meybodi (IDEAL, 2003)

Multi-threshold Guard Channel Policy for Next Generation Wireless Networks. - Hamid Beigy; Mohammad Reza Meybodi (ISCIS, 2003)

A Mathematical Framework for Cellular Learning Automata. - Hamid Beigy; Mohammad Reza Meybodi (Adv. Complex Syst., 2004)

A new fractional channel policy. - Hamid Beigy; Mohammad Reza Meybodi (J. High Speed Networks, 2004)

An adaptive call admission algorithm for cellular networks. - Hamid Beigy; Mohammad Reza Meybodi (Comput. Electr. Eng., 2005)

A general call admission policy for next generation wireless networks. - Hamid Beigy; Mohammad Reza Meybodi (Comput. Commun., 2005)

IJA Automaton: Expediency and E-Optimality Properties. - Reza Iraji; M. T. Manzuri-Shalmani; Amir H. Jamalian; Hamid Beigy (IEEE ICCI, 2006)

Utilizing Distributed Learning Automata to Solve Stochastic Shortest Path Problems. - Hamid Beigy; Mohammad Reza Meybodi (Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2006)

A new continuous action-set learning automaton for function optimization. - Hamid Beigy; M. R. Meybodi (J. Frankl. Inst., 2006)

Quine-McCluskey Classification. - Javad Safaei; Hamid Beigy (AICCSA, 2007)

Open Synchronous Cellular Learning Automata. - Hamid Beigy; Mohammad Reza Meybodi (Adv. Complex Syst., 2007)

Investigating the Baldwin effect on Cartesian Genetic Programming efficiency. - Mehrdad Khatir; Amir-Hossein Jahangir; Hamid Beigy (IEEE Congress on Evolutionary Computation, 2008)

Using PCA to improve evolutionary cellular automata algorithms. - Mehran Najafi; Hamid Beigy (GECCO, 2008)

Automatic Discovery of Subgoals in Reinforcement Learning Using Strongly Connected Components. - Seyed Jalal Kazemitabar; Hamid Beigy (ICONIP (1), 2008)

Solving Stochastic Path Problem: Particle Swarm Optimization Approach. - Saeedeh Momtazi; Somayeh Kafi; Hamid Beigy (IEA/AIE, 2008)

Knapsack Model for Pixel Based Skin Detection. - Sajad Shirali-Shahreza; Hamid Beigy; Mohammad Hassan Shirali-Shahreza (IIH-MSP, 2008)

Asynchronous cellular learning automata. - Hamid Beigy; Mohammad Reza Meybodi (Autom., 2008)

Dynamic classifier selection using clustering for spam detection. - Mehrnoush Famil Saeedian; Hamid Beigy (CIDM, 2009)

A new call admission control scheme based on new call bounding and thinning II schemes in cellular mobile networks. - Zahra Firouzi; Hamid Beigy (EIT, 2009)

A new fractional call admission control scheme in intergrated cellular network. - Leila Mortazavi Far; Hamid Beigy (EIT, 2009)

Using Strongly Connected Components as a Basis for Autonomous Skill Acquisition in Reinforcement Learning. - Seyed Jalal Kazemitabar; Hamid Beigy (ISNN (1), 2009)

Toward a Solution to Multi-agent Credit Assignment Problem. - Zahra Rahaie; Hamid Beigy (SoCPaR, 2009)

Cellular Learning Automata Based Dynamic Channel Assignment Algorithms. - Hamid Beigy; Mohammad Reza Meybodi (Int. J. Comput. Intell. Appl., 2009)

A learning automata-based algorithm for determination of the number of hidden units for three-layer neural networks. - Hamid Beigy; Mohammad Reza Meybodi (Int. J. Syst. Sci., 2009)

Adaptive Limited fractional Guard Channel Algorithms: a Learning Automata Approach. - Hamid Beigy; Mohammad Reza Meybodi (Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2009)

Special issue on network-based high performance computing. - Hamid Sarbazi-Azad; Alireza Shahrabi; Hamid Beigy (J. Supercomput., 2010)

Cellular Learning Automata With Multiple Learning Automata in Each Cell and Its Applications. - Hamid Beigy; Mohammad Reza Meybodi (IEEE Trans. Syst. Man Cybern. Part B, 2010)

New Drift Detection Method for Data Streams. - Parinaz Sobhani; Hamid Beigy (ICAIS, 2011)

Pool and Accuracy Based Stream Classification: A New Ensemble Algorithm on Data Stream Classification Using Recurring Concepts Detection. - Mohammad Javad Hosseini; Zahra Ahmadi; Hamid Beigy (ICDM Workshops, 2011)

A New Image Segmentation Algorithm: A Community Detection Approach. - Ahmad Ali Abin; Farzaneh Mahdisoltani; Hamid Beigy (IICAI, 2011)

A new method for discovering subgoals and constructing options in reinforcement learning. - Marzieh Davoodabadi; Hamid Beigy (IICAI, 2011)

Learning automata based dynamic guard channel algorithms. - Hamid Beigy; Mohammad Reza Meybodi (Comput. Electr. Eng., 2011)

Multi-aspect group formation using facility location analysis. - Mahmood Neshati; Hamid Beigy; Djoerd Hiemstra (ADCS, 2012)

New Management Operations on Classifiers Pool to Track Recurring Concepts. - Mohammad Javad Hosseini; Zahra Ahmadi; Hamid Beigy (DaWaK, 2012)

Semi-supervised Ensemble Learning of Data Streams in the Presence of Concept Drift. - Zahra Ahmadi; Hamid Beigy (HAIS (2), 2012)

A New Genetic Algorithm for Multiple sequence Alignment. - Zahra Narimani; Hamid Beigy; Hassan Abolhassani (Int. J. Comput. Intell. Appl., 2012)

A Genetic Programming-Based Learning Algorithms for Pruning Cost-Sensitive Classifiers. - Zahra Nikdel; Hamid Beigy (Int. J. Comput. Intell. Appl., 2012)

Learning to filter spam emails: An ensemble learning approach. - Mehrnoush Famil Saeedian; Hamid Beigy (Int. J. Hybrid Intell. Syst., 2012)

A new method of mining data streams using harmony search. - Zohre Karimi; Hassan Abolhassani; Hamid Beigy (J. Intell. Inf. Syst., 2012)

Automatic Abstraction in Reinforcement Learning Using Ant System Algorithm. - Mohsen Ghafoorian; Nasrin Taghizadeh; Hamid Beigy (AAAI Spring Symposium: Lifelong Machine Learning, 2013)

Expertise retrieval in bibliographic network: a topic dominance learning approach. - Seyyed Hadi Hashemi; Mahmood Neshati; Hamid Beigy (CIKM, 2013)

A Joint Classification Method to Integrate Scientific and Social Networks. - Mahmood Neshati; Ehsaneddin Asgari; Djoerd Hiemstra; Hamid Beigy (ECIR, 2013)

An adaptive regression tree for non-stationary data streams. - Ameneh Gholipour; Mohammad Javad Hosseini; Hamid Beigy (SAC, 2013)

An algorithm for discovering clusters of different densities or shapes in noisy data sets. - Fereshte Khani; Mohammad Javad Hosseini; Ahmad Ali Abin; Hamid Beigy (SAC, 2013)

Using a classifier pool in accuracy based tracking of recurring concepts in data stream classification. - Mohammad Javad Hosseini; Zahra Ahmadi; Hamid Beigy (Evol. Syst., 2013)

Inferring signaling pathways using interventional data. - Alborz Mazloomian; Hamid Beigy (Intell. Data Anal., 2013)

A New Ensemble Method for Feature Ranking in Text Mining. - Sabereh Sadeghi; Hamid Beigy (Int. J. Artif. Intell. Tools, 2013)

Market_based grid resource allocation using new negotiation model. - Sepideh Adabi; Ali Movaghar 001; Amir Masoud Rahmani; Hamid Beigy (J. Netw. Comput. Appl., 2013)

A novel graphical approach to automatic abstraction in reinforcement learning. - Nasrin Taghizadeh; Hamid Beigy (Robotics Auton. Syst., 2013)

Negotiation strategies considering market, time and behavior functions for resource allocation in computational grid. - Sepideh Adabi; Ali Movaghar 001; Amir Masoud Rahmani; Hamid Beigy (J. Supercomput., 2013)

Exploiting Structural Information of Data in Active Learning. - Maryam Shadloo; Hamid Beigy; Siavash Haghiri (ICAISC (2), 2014)

A new real-coded Bayesian optimization algorithm based on a team of learning automata for continuous optimization. - Behnaz Moradabadi; Hamid Beigy (Genet. Program. Evolvable Mach., 2014)

Expertness framework in multi-agent systems and its application in credit assignment problem. - Zahra Rahaie; Hamid Beigy (Intell. Data Anal., 2014)

Expert group formation using facility location analysis. - Mahmood Neshati; Hamid Beigy; Djoerd Hiemstra (Inf. Process. Manag., 2014)

A new fuzzy negotiation protocol for grid resource allocation. - Sepideh Adabi; Ali Movaghar 001; Amir Masoud Rahmani; Hamid Beigy; Hengameh Dastmalchy-Tabrizi (J. Netw. Comput. Appl., 2014)

Active selection of clustering constraints: a sequential approach. - Ahmad Ali Abin; Hamid Beigy (Pattern Recognit., 2014)

Expertise Finding in Bibliographic Network: Topic Dominance Learning Approach. - Mahmood Neshati; Seyyed Hadi Hashemi; Hamid Beigy (IEEE Trans. Cybern., 2014)

A localization algorithm for large scale mobile wireless sensor networks: a learning approach. - Samira Afzal; Hamid Beigy (J. Supercomput., 2014)

Integration of scientific and social networks. - Mahmood Neshati; Djoerd Hiemstra; Ehsaneddin Asgari; Hamid Beigy (World Wide Web, 2014)

Incremental RotBoost algorithm: An application for spam filtering. - Elham Ghanbari; Hamid Beigy (Intell. Data Anal., 2015)

Novel class detection in data streams using local patterns and neighborhood graph. - Poorya ZareMoodi; Hamid Beigy; Sajjad Kamali Siahroudi (Neurocomputing, 2015)

A cooperative learning method based on cellular learning automata and its application in optimization problems. - Milad Mozafari; Mohammad Ebrahim Shiri; Hamid Beigy (J. Comput. Sci., 2015)

Active constrained fuzzy clustering: A multiple kernels learning approach. - Ahmad Ali Abin; Hamid Beigy (Pattern Recognit., 2015)

A learning automata-based adaptive uniform fractional guard channel algorithm. - Hamid Beigy; Mohammad Reza Meybodi (J. Supercomput., 2015)

A support vector based approach for classification beyond the learned label space in data streams. - Poorya ZareMoodi; Sajjad Kamali Siahroudi; Hamid Beigy (SAC, 2016)

A novel concept drift detection method in data streams using ensemble classifiers. - Mahdie Dehghan; Hamid Beigy; Poorya ZareMoodi (Intell. Data Anal., 2016)

Cascading randomized weighted majority: A new online ensemble learning algorithm. - Mohammadzaman Zamani; Hamid Beigy; Amirreza Shaban (Intell. Data Anal., 2016)

Critic learning in multi agent credit assignment problem. - Zahra Rahaie; Hamid Beigy (J. Intell. Fuzzy Syst., 2016)

An ensemble of cluster-based classifiers for semi-supervised classification of non-stationary data streams. - Mohammad Javad Hosseini; Ameneh Gholipour; Hamid Beigy (Knowl. Inf. Syst., 2016)

Associative cellular learning automata and its applications. - Meysam Ahangaran; Nasrin Taghizadeh; Hamid Beigy (Appl. Soft Comput., 2017)

On dynamicity of expert finding in community question answering. - Mahmood Neshati; Zohreh Fallahnejad; Hamid Beigy (Inf. Process. Manag., 2017)

An Order-based Algorithm for Learning Structure of Bayesian Networks. - Shahab Behjati; Hamid Beigy (PGM, 2018)

Locating the Source in Real-world Diffusion Network. - Shabnam Behzad; Arman Sepehr; Hamid Beigy; Mohammadzaman Zamani (CoRR, 2018)

Detection of evolving concepts in non-stationary data streams: A multiple kernel learning approach. - Sajjad Kamali Siahroudi; Poorya ZareMoodi; Hamid Beigy (Expert Syst. Appl., 2018)

A graph-theoretic approach toward autonomous skill acquisition in reinforcement learning. - Seyed Jalal Kazemitabar; Nasrin Taghizadeh; Hamid Beigy (Evol. Syst., 2018)

Sentiment analysis on stock social media for stock price movement prediction. - Ali Derakhshan; Hamid Beigy (Eng. Appl. Artif. Intell., 2019)

Concept-evolution detection in non-stationary data streams: a fuzzy clustering approach. - Poorya ZareMoodi; Sajjad Kamali Siahroudi; Hamid Beigy (Knowl. Inf. Syst., 2019)

Viral Cascade Probability Estimation and Maximization in Diffusion Networks. - Arman Sepehr; Hamid Beigy (IEEE Trans. Knowl. Data Eng., 2019)

Learning a metric when clustering data points in the presence of constraints. - Ahmad Ali Abin; Mohammad Ali Bashiri; Hamid Beigy (Adv. Data Anal. Classif., 2020)

Improved K2 algorithm for Bayesian network structure learning. - Shahab Behjati; Hamid Beigy (Eng. Appl. Artif. Intell., 2020)

Deep submodular network: An application to multi-document summarization. - Alireza Ghadimi; Hamid Beigy (Expert Syst. Appl., 2020)

Supervised fuzzy partitioning. - Pooya Ashtari; Fateme Nateghi Haredasht; Hamid Beigy (Pattern Recognit., 2020)

Density peaks clustering based on density backbone and fuzzy neighborhood. - Abdulrahman Lotfi; Parham Moradi; Hamid Beigy (Pattern Recognit., 2020)

An iterative stochastic algorithm based on distributed learning automata for finding the stochastic shortest path in stochastic graphs. - Hamid Beigy; Mohammad Reza Meybodi (J. Supercomput., 2020)

ParsTwiNER: A Corpus for Named Entity Recognition at Informal Persian. - MohammadMahdi Aghajani; AliAkbar Badri; Hamid Beigy (W-NUT, 2021)

Automatic Image Annotation Using Quantization Reweighting Function and Graph Neural Networks. - Fariba Lotfi; Mansour Jamzad; Hamid Beigy (ICSOC Workshops, 2021)

A distributed density estimation algorithm and its application to naive Bayes classification. - Ahmad Khajenezhad; Mohammad Ali Bashiri; Hamid Beigy (Appl. Soft Comput., 2021)

A sampling method based on distributed learning automata for solving stochastic shortest path problem. - Hamid Beigy; Mohammad Reza Meybodi (Knowl. Based Syst., 2021)

Masked Autoencoder for Distribution Estimation on Small Structured Data Sets. - Ahmad Khajenezhad; Hatef Madani; Hamid Beigy (IEEE Trans. Neural Networks Learn. Syst., 2021)

Persian Natural Language Inference: A Meta-learning Approach. - Heydar Soudani; Mohammad Hassan Mojab; Hamid Beigy (COLING, 2022)

Image Data Augmentation and Convolutional Feature Map Visualizations in Computer Vision Applications. - Fariba Lotfi; Fatemeh Tohidian; Mansour Jamzad; Hamid Beigy (ICSOC Workshops, 2022)

Gransformer: Transformer-based Graph Generation. - Ahmad Khajenezhad; Seyed Ali Osia; Mahmood Karimian; Hamid Beigy (CoRR, 2022)

Attention-based skill translation models for expert finding. - Zohreh Fallahnejad; Hamid Beigy (Expert Syst. Appl., 2022)

Hybrid multi-document summarization using pre-trained language models. - Alireza Ghadimi; Hamid Beigy (Expert Syst. Appl., 2022)

Structural virality estimation and maximization in diffusion networks. - Arman Sepehr; Hamid Beigy (Expert Syst. Appl., 2022)

Borderless Azerbaijani Processing: Linguistic Resources and a Transformer-based Approach for Azerbaijani Transliteration. - Reihaneh Zohrabi; Mostafa Masumi; Omid Ghahroodi; Parham AbedAzad; Hamid Beigy; Mohammad Hossein Rohban; Ehsaneddin Asgari (IJCNLP (2), 2023)

SUTNLP at SemEval-2023 Task 10: RLAT-Transformer for explainable online sexism detection. - Hamed Hematian Hemati; Sayed Hesam Alavian; Hamid Beigy; Hossein Sameti (SemEval@ACL, 2023)

SUTNLP at SemEval-2023 Task 4: LG-Transformer for Human Value Detection. - Hamed Hematian Hemati; Sayed Hesam Alavian; Hossein Sameti; Hamid Beigy (SemEval@ACL, 2023)

KhabarChin: Automatic Detection of Important News in the Persian Language. - Hamed Hematian Hemati; Arash Lagzian; Moein Salimi Sartakhti; Hamid Beigy; Ehsaneddin Asgari (CoRR, 2023)

PCoQA: Persian Conversational Question Answering Dataset. - Hamed Hematian Hemati; Atousa Toghyani; Atena Souri; Sayed Hesam Alavian; Hossein Sameti; Hamid Beigy (CoRR, 2023)

Storytelling with Image Data: A Systematic Review and Comparative Analysis of Methods and Tools. - Fariba Lotfi; Amin Beheshti; Helia Farhood; Matineh Pooshideh; Mansour Jamzad; Hamid Beigy (Algorithms, 2023)

SGCSumm: An extractive multi-document summarization method based on pre-trained language model, submodularity, and graph convolutional neural networks. - Alireza Ghadimi; Hamid Beigy (Expert Syst. Appl., 2023)

Concept drift handling: A domain adaptation perspective. - Mahmood Karimian; Hamid Beigy (Expert Syst. Appl., 2023)

Learning Hidden Graphs From Samples. - Ahmad Abniki; Hamid Beigy (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Consistency Training by Synthetic Question Generation for Conversational Question Answering. - Hamed Hematian Hemati; Hamid Beigy (ACL (Short Papers), 2024)

The Open Story Model (OSM): Transforming Big Data into Interactive Narratives. - Fariba Lotfi; Amin Beheshti; Mansour Jamzad; Hamid Beigy; Jia Wu 001; Philip S. Yu (ICWS, 2024)

FaBERT: Pre-training BERT on Persian Blogs. - Mostafa Masumi; Seyed Soroush Majd; Mehrnoush Shamsfard; Hamid Beigy (CoRR, 2024)

Approximating Simplet Frequency Distribution for Simplicial Complexes. - Hamid Beigy; Mohammad Mahini; Salman Qadami; Morteza Saghafian (CoRR, 2024)

Multi-BERT: Leveraging Adapters and Prompt Tuning for Low-Resource Multi-Domain Adaptation. - Parham AbedAzad; Hamid Beigy (CoRR, 2024)

Zero-Shot Learning and Key Points Are All You Need for Automated Fact-Checking. - Mohammad Ghiasvand Mohammadkhani; Ali Ghiasvand Mohammadkhani; Hamid Beigy (CoRR, 2024)

SAST: A self-attention based method for skill translation in T-shaped expert finding. - Zohreh Fallahnejad; Hamid Beigy (Inf. Sci., 2024)

Knowledge graph construction in hyperbolic space for automatic image annotation. - Fariba Lotfi; Mansour Jamzad; Hamid Beigy; Helia Farhood; Quan Z. Sheng; Amin Beheshti (Image Vis. Comput., 2024)

T-shaped expert mining: a novel approach based on skill translation and focal loss. - Zohreh Fallahnejad; Mahmood Karimian; Fatemeh Lashkari; Hamid Beigy (J. Intell. Inf. Syst., 2024)

CPT4: Continual Prompted Transformer for Test Time Training. - Mahmood Karimian; Hamid Beigy (Inf. Sci., 2025)

Simplet-based signatures and approximation in simplicial complexes: Frequency, degree, and centrality. - Mohammad Mahini; Hamid Beigy; Salman Qadami; Morteza Saghafian (Inf. Sci., 2025)

Camera Trajectory Generation: A Comprehensive Survey of Methods, Metrics, and Future Directions. - Zahra Dehghanian; Pouya Ardekhani; Amir Vahedi; Hamid Beigy; Hamid R. Rabiee (CoRR, 2025)

LensCraft: Your Professional Virtual Cinematographer. - Zahra Dehghanian; Morteza Abolghasemi; Hossein Azizinaghsh; Amir Vahedi; Hamid Beigy; Hamid R. Rabiee (CoRR, 2025)

Checklist Engineering Empowers Multilingual LLM Judges. - Mohammad Ghiasvand Mohammadkhani; Hamid Beigy (CoRR, 2025)