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Hamid Beigy
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- affiliation: Sharif University of Technology, Tehran, Iran
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2020 – today
- 2024
- [j70]Zohreh Fallahnejad
, Hamid Beigy
SAST: A self-attention based method for skill translation in T-shaped expert finding. Inf. Sci. 680: 121116 (2024) - [j69]Fariba Lotfi, Mansour Jamzad, Hamid Beigy, Helia Farhood, Quan Z. Sheng, Amin Beheshti:
Knowledge graph construction in hyperbolic space for automatic image annotation. Image Vis. Comput. 151: 105293 (2024) - [j68]Zohreh Fallahnejad, Mahmood Karimian, Fatemeh Lashkari, Hamid Beigy:
T-shaped expert mining: a novel approach based on skill translation and focal loss. J. Intell. Inf. Syst. 62(2): 535-554 (2024) - [c48]Hamed Hematian Hemati, Hamid Beigy:
Consistency Training by Synthetic Question Generation for Conversational Question Answering. ACL (Short Papers) 2024: 630-639 - [c47]Fariba Lotfi, Amin Beheshti, Mansour Jamzad, Hamid Beigy, Jia Wu, Philip S. Yu:
The Open Story Model (OSM): Transforming Big Data into Interactive Narratives. ICWS 2024: 1177-1187 - [i11]Mostafa Masumi, Seyed Soroush Majd, Mehrnoush Shamsfard, Hamid Beigy:
FaBERT: Pre-training BERT on Persian Blogs. CoRR abs/2402.06617 (2024) - [i10]Hamid Beigy, Mohammad Mahini, Salman Qadami, Morteza Saghafian
Approximating Simplet Frequency Distribution for Simplicial Complexes. CoRR abs/2402.16777 (2024) - [i9]Parham AbedAzad
Multi-BERT: Leveraging Adapters and Prompt Tuning for Low-Resource Multi-Domain Adaptation. CoRR abs/2404.02335 (2024) - [i8]Hamed Hematian Hemati, Hamid Beigy:
Consistency Training by Synthetic Question Generation for Conversational Question Answering. CoRR abs/2404.11109 (2024) - [i7]Mohammad Ghiasvand Mohammadkhani, Ali Ghiasvand Mohammadkhani, Hamid Beigy:
Zero-Shot Learning and Key Points Are All You Need for Automated Fact-Checking. CoRR abs/2408.08400 (2024) - 2023
- [j67]Fariba Lotfi
Storytelling with Image Data: A Systematic Review and Comparative Analysis of Methods and Tools. Algorithms 16(3): 135 (2023) - [j66]Alireza Ghadimi, Hamid Beigy
SGCSumm: An extractive multi-document summarization method based on pre-trained language model, submodularity, and graph convolutional neural networks. Expert Syst. Appl. 215: 119308 (2023) - [j65]Mahmood Karimian
Concept drift handling: A domain adaptation perspective. Expert Syst. Appl. 224: 119946 (2023) - [j64]Ahmad Abniki
Learning Hidden Graphs From Samples. IEEE Trans. Pattern Anal. Mach. Intell. 45(10): 11993-12003 (2023) - [c46]Reihaneh Zohrabi, Mostafa Masumi, Omid Ghahroodi, Parham AbedAzad, Hamid Beigy, Mohammad Hossein Rohban, Ehsaneddin Asgari:
Borderless Azerbaijani Processing: Linguistic Resources and a Transformer-based Approach for Azerbaijani Transliteration. IJCNLP (2) 2023: 175-183 - [c45]Hamed Hematian Hemati, Sayed Hesam Alavian, Hossein Sameti, Hamid Beigy:
SUTNLP at SemEval-2023 Task 4: LG-Transformer for Human Value Detection. SemEval@ACL 2023: 340-346 - [c44]Hamed Hematian Hemati, Sayed Hesam Alavian, Hamid Beigy, Hossein Sameti:
SUTNLP at SemEval-2023 Task 10: RLAT-Transformer for explainable online sexism detection. SemEval@ACL 2023: 347-356 - [i6]Hamed Hematian Hemati, Arash Lagzian, Moein Salimi Sartakhti, Hamid Beigy, Ehsaneddin Asgari:
KhabarChin: Automatic Detection of Important News in the Persian Language. CoRR abs/2312.03361 (2023) - [i5]Hamed Hematian Hemati, Atousa Toghyani, Atena Souri, Sayed Hesam Alavian, Hossein Sameti, Hamid Beigy:
PCoQA: Persian Conversational Question Answering Dataset. CoRR abs/2312.04362 (2023) - 2022
- [j63]Alireza Ghadimi, Hamid Beigy
Hybrid multi-document summarization using pre-trained language models. Expert Syst. Appl. 192: 116292 (2022) - [j62]Zohreh Fallahnejad
Attention-based skill translation models for expert finding. Expert Syst. Appl. 193: 116433 (2022) - [j61]Arman Sepehr
Structural virality estimation and maximization in diffusion networks. Expert Syst. Appl. 206: 117657 (2022) - [c43]Heydar Soudani, Mohammad Hassan Mojab, Hamid Beigy:
Persian Natural Language Inference: A Meta-learning Approach. COLING 2022: 4306-4319 - [c42]Fariba Lotfi
Image Data Augmentation and Convolutional Feature Map Visualizations in Computer Vision Applications. ICSOC Workshops 2022: 15-26 - [i4]Ahmad Khajenezhad, Seyed Ali Osia, Mahmood Karimian
Gransformer: Transformer-based Graph Generation. CoRR abs/2203.13655 (2022) - [i3]Heydar Soudani, Mohammad Hassan Mojab, Hamid Beigy:
Persian Natural Language Inference: A Meta-learning approach. CoRR abs/2205.08755 (2022) - 2021
- [j60]Ahmad Khajenezhad, Mohammad Ali Bashiri, Hamid Beigy
A distributed density estimation algorithm and its application to naive Bayes classification. Appl. Soft Comput. 98: 106837 (2021) - [j59]Hamid Beigy
A sampling method based on distributed learning automata for solving stochastic shortest path problem. Knowl. Based Syst. 212: 106638 (2021) - [j58]Ahmad Khajenezhad
Masked Autoencoder for Distribution Estimation on Small Structured Data Sets. IEEE Trans. Neural Networks Learn. Syst. 32(11): 4997-5007 (2021) - [c41]MohammadMahdi Aghajani, AliAkbar Badri, Hamid Beigy:
ParsTwiNER: A Corpus for Named Entity Recognition at Informal Persian. W-NUT 2021: 131-136 - [c40]Fariba Lotfi, Mansour Jamzad, Hamid Beigy:
Automatic Image Annotation Using Quantization Reweighting Function and Graph Neural Networks. ICSOC Workshops 2021: 46-60 - 2020
- [j57]Ahmad Ali Abin, Mohammad Ali Bashiri, Hamid Beigy
Learning a metric when clustering data points in the presence of constraints. Adv. Data Anal. Classif. 14(1): 29-56 (2020) - [j56]Shahab Behjati, Hamid Beigy
Improved K2 algorithm for Bayesian network structure learning. Eng. Appl. Artif. Intell. 91: 103617 (2020) - [j55]Alireza Ghadimi, Hamid Beigy
Deep submodular network: An application to multi-document summarization. Expert Syst. Appl. 152: 113392 (2020) - [j54]Pooya Ashtari
Supervised fuzzy partitioning. Pattern Recognit. 97 (2020) - [j53]Abdulrahman Lotfi
Density peaks clustering based on density backbone and fuzzy neighborhood. Pattern Recognit. 107: 107449 (2020) - [j52]Hamid Beigy
An iterative stochastic algorithm based on distributed learning automata for finding the stochastic shortest path in stochastic graphs. J. Supercomput. 76(7): 5540-5562 (2020)
2010 – 2019
- 2019
- [j51]Ali Derakhshan, Hamid Beigy
Sentiment analysis on stock social media for stock price movement prediction. Eng. Appl. Artif. Intell. 85: 569-578 (2019) - [j50]Poorya ZareMoodi, Sajjad Kamali Siahroudi, Hamid Beigy
Concept-evolution detection in non-stationary data streams: a fuzzy clustering approach. Knowl. Inf. Syst. 60(3): 1329-1352 (2019) - [j49]Arman Sepehr
Viral Cascade Probability Estimation and Maximization in Diffusion Networks. IEEE Trans. Knowl. Data Eng. 31(3): 589-600 (2019) - 2018
- [j48]Sajjad Kamali Siahroudi, Poorya ZareMoodi, Hamid Beigy
Detection of evolving concepts in non-stationary data streams: A multiple kernel learning approach. Expert Syst. Appl. 91: 187-197 (2018) - [j47]Seyed Jalal Kazemitabar, Nasrin Taghizadeh
A graph-theoretic approach toward autonomous skill acquisition in reinforcement learning. Evol. Syst. 9(3): 227-244 (2018) - [c39]Shahab Behjati, Hamid Beigy:
An Order-based Algorithm for Learning Structure of Bayesian Networks. PGM 2018: 25-36 - [i2]Shabnam Behzad, Arman Sepehr, Hamid Beigy, Mohammadzaman Zamani:
Locating the Source in Real-world Diffusion Network. CoRR abs/1804.02727 (2018) - 2017
- [j46]Meysam Ahangaran, Nasrin Taghizadeh
Associative cellular learning automata and its applications. Appl. Soft Comput. 53: 1-18 (2017) - [j45]Mahmood Neshati, Zohreh Fallahnejad, Hamid Beigy
On dynamicity of expert finding in community question answering. Inf. Process. Manag. 53(5): 1026-1042 (2017) - 2016
- [j44]Mohammadzaman Zamani, Hamid Beigy
Cascading randomized weighted majority: A new online ensemble learning algorithm. Intell. Data Anal. 20(4): 877-889 (2016) - [j43]Mahdie Dehghan, Hamid Beigy
A novel concept drift detection method in data streams using ensemble classifiers. Intell. Data Anal. 20(6): 1329-1350 (2016) - [j42]Zahra Rahaie, Hamid Beigy
Critic learning in multi agent credit assignment problem. J. Intell. Fuzzy Syst. 30(6): 3465-3480 (2016) - [j41]Mohammad Javad Hosseini, Ameneh Gholipour, Hamid Beigy
An ensemble of cluster-based classifiers for semi-supervised classification of non-stationary data streams. Knowl. Inf. Syst. 46(3): 567-597 (2016) - [c38]Poorya ZareMoodi, Sajjad Kamali Siahroudi, Hamid Beigy
A support vector based approach for classification beyond the learned label space in data streams. SAC 2016: 910-915 - 2015
- [j40]Elham Ghanbari
Incremental RotBoost algorithm: An application for spam filtering. Intell. Data Anal. 19(2): 449-468 (2015) - [j39]Poorya ZareMoodi, Hamid Beigy
Novel class detection in data streams using local patterns and neighborhood graph. Neurocomputing 158: 234-245 (2015) - [j38]Milad Mozafari
A cooperative learning method based on cellular learning automata and its application in optimization problems. J. Comput. Sci. 11: 279-288 (2015) - [j37]Ahmad Ali Abin, Hamid Beigy
Active constrained fuzzy clustering: A multiple kernels learning approach. Pattern Recognit. 48(3): 953-967 (2015) - [j36]Hamid Beigy
A learning automata-based adaptive uniform fractional guard channel algorithm. J. Supercomput. 71(3): 871-893 (2015) - 2014
- [j35]Behnaz Moradabadi, Hamid Beigy
A new real-coded Bayesian optimization algorithm based on a team of learning automata for continuous optimization. Genet. Program. Evolvable Mach. 15(2): 169-193 (2014) - [j34]Zahra Rahaie, Hamid Beigy
Expertness framework in multi-agent systems and its application in credit assignment problem. Intell. Data Anal. 18(3): 511-528 (2014) - [j33]Mahmood Neshati, Hamid Beigy
Expert group formation using facility location analysis. Inf. Process. Manag. 50(2): 361-383 (2014) - [j32]Sepideh Adabi
A new fuzzy negotiation protocol for grid resource allocation. J. Netw. Comput. Appl. 37: 89-126 (2014) - [j31]Ahmad Ali Abin, Hamid Beigy
Active selection of clustering constraints: a sequential approach. Pattern Recognit. 47(3): 1443-1458 (2014) - [j30]Mahmood Neshati, Seyyed Hadi Hashemi, Hamid Beigy
Expertise Finding in Bibliographic Network: Topic Dominance Learning Approach. IEEE Trans. Cybern. 44(12): 2646-2657 (2014) - [j29]Samira Afzal
A localization algorithm for large scale mobile wireless sensor networks: a learning approach. J. Supercomput. 69(1): 98-120 (2014) - [j28]Mahmood Neshati, Djoerd Hiemstra
Integration of scientific and social networks. World Wide Web 17(5): 1051-1079 (2014) - [c37]Maryam Shadloo, Hamid Beigy
Exploiting Structural Information of Data in Active Learning. ICAISC (2) 2014: 796-808 - [i1]Mohammadzaman Zamani, Hamid Beigy, Amirreza Shaban:
Cascading Randomized Weighted Majority: A New Online Ensemble Learning Algorithm. CoRR abs/1403.0388 (2014) - 2013
- [j27]Mohammad Javad Hosseini, Zahra Ahmadi
Using a classifier pool in accuracy based tracking of recurring concepts in data stream classification. Evol. Syst. 4(1): 43-60 (2013) - [j26]Alborz Mazloomian, Hamid Beigy
Inferring signaling pathways using interventional data. Intell. Data Anal. 17(2): 295-308 (2013) - [j25]Sabereh Sadeghi, Hamid Beigy
A New Ensemble Method for Feature Ranking in Text Mining. Int. J. Artif. Intell. Tools 22(3) (2013) - [j24]Sepideh Adabi
Market_based grid resource allocation using new negotiation model. J. Netw. Comput. Appl. 36(1): 543-565 (2013) - [j23]Nasrin Taghizadeh
A novel graphical approach to automatic abstraction in reinforcement learning. Robotics Auton. Syst. 61(8): 821-835 (2013) - [j22]Sepideh Adabi
Negotiation strategies considering market, time and behavior functions for resource allocation in computational grid. J. Supercomput. 66(3): 1350-1389 (2013) - [c36]Mohsen Ghafoorian, Nasrin Taghizadeh, Hamid Beigy:
Automatic Abstraction in Reinforcement Learning Using Ant System Algorithm. AAAI Spring Symposium: Lifelong Machine Learning 2013 - [c35]Seyyed Hadi Hashemi, Mahmood Neshati, Hamid Beigy
Expertise retrieval in bibliographic network: a topic dominance learning approach. CIKM 2013: 1117-1126 - [c34]Mahmood Neshati, Ehsaneddin Asgari, Djoerd Hiemstra
A Joint Classification Method to Integrate Scientific and Social Networks. ECIR 2013: 122-133 - [c33]Mohammad Javad Hosseini, Zahra Ahmadi, Hamid Beigy:
Using a Classifier Pool in Accuracy Based Tracking of Recurring Concepts in Data Stream Classification. LWA 2013: 90-97 - [c32]Fereshte Khani, Mohammad Javad Hosseini, Ahmad Ali Abin, Hamid Beigy
An algorithm for discovering clusters of different densities or shapes in noisy data sets. SAC 2013: 144-149 - [c31]Ameneh Gholipour, Mohammad Javad Hosseini, Hamid Beigy
An adaptive regression tree for non-stationary data streams. SAC 2013: 815-817 - 2012
- [j21]Zahra Nikdel, Hamid Beigy
A Genetic Programming-Based Learning Algorithms for Pruning Cost-Sensitive Classifiers. Int. J. Comput. Intell. Appl. 11(2) (2012) - [j20]Zahra Narimani
A New Genetic Algorithm for Multiple sequence Alignment. Int. J. Comput. Intell. Appl. 11(4) (2012) - [j19]Mehrnoush Famil Saeedian, Hamid Beigy:
Learning to filter spam emails: An ensemble learning approach. Int. J. Hybrid Intell. Syst. 9(1): 27-43 (2012) - [j18]Zohre Karimi, Hassan Abolhassani, Hamid Beigy
A new method of mining data streams using harmony search. J. Intell. Inf. Syst. 39(2): 491-511 (2012) - [c30]Mahmood Neshati, Hamid Beigy
Multi-aspect group formation using facility location analysis. ADCS 2012: 62-71 - [c29]Mohammad Javad Hosseini, Zahra Ahmadi
New Management Operations on Classifiers Pool to Track Recurring Concepts. DaWaK 2012: 327-339 - [c28]Zahra Ahmadi
Semi-supervised Ensemble Learning of Data Streams in the Presence of Concept Drift. HAIS (2) 2012: 526-537 - 2011
- [j17]Hamid Beigy
Learning automata based dynamic guard channel algorithms. Comput. Electr. Eng. 37(4): 601-613 (2011) - [c27]Parinaz Sobhani, Hamid Beigy
New Drift Detection Method for Data Streams. ICAIS 2011: 88-97 - [c26]Mohammad Javad Hosseini, Zahra Ahmadi
Pool and Accuracy Based Stream Classification: A New Ensemble Algorithm on Data Stream Classification Using Recurring Concepts Detection. ICDM Workshops 2011: 588-595 - [c25]Marzieh Davoodabadi, Hamid Beigy:
A new method for discovering subgoals and constructing options in reinforcement learning. IICAI 2011: 441-450 - [c24]Ahmad Ali Abin, Farzaneh Mahdisoltani, Hamid Beigy:
A New Image Segmentation Algorithm: A Community Detection Approach. IICAI 2011: 1047-1059 - 2010
- [j16]Hamid Sarbazi-Azad, Alireza Shahrabi
Special issue on network-based high performance computing. J. Supercomput. 53(1): 1-4 (2010) - [j15]Hamid Beigy
Cellular Learning Automata With Multiple Learning Automata in Each Cell and Its Applications. IEEE Trans. Syst. Man Cybern. Part B 40(1): 54-65 (2010)
2000 – 2009
- 2009
- [j14]Hamid Beigy
Cellular Learning Automata Based Dynamic Channel Assignment Algorithms. Int. J. Comput. Intell. Appl. 8(3): 287-314 (2009) - [j13]Hamid Beigy
A learning automata-based algorithm for determination of the number of hidden units for three-layer neural networks. Int. J. Syst. Sci. 40(1): 101-118 (2009) - [j12]Hamid Beigy
Adaptive Limited fractional Guard Channel Algorithms: a Learning Automata Approach. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 17(6): 881-913 (2009) - [c23]Mehrnoush Famil Saeedian, Hamid Beigy
Dynamic classifier selection using clustering for spam detection. CIDM 2009: 84-88 - [c22]Zahra Firouzi, Hamid Beigy
A new call admission control scheme based on new call bounding and thinning II schemes in cellular mobile networks. EIT 2009: 40-45 - [c21]Leila Mortazavi Far, Hamid Beigy
A new fractional call admission control scheme in intergrated cellular network. EIT 2009: 332-337 - [c20]Seyed Jalal Kazemitabar, Hamid Beigy
Using Strongly Connected Components as a Basis for Autonomous Skill Acquisition in Reinforcement Learning. ISNN (1) 2009: 794-803 - [c19]Zahra Rahaie, Hamid Beigy
Toward a Solution to Multi-agent Credit Assignment Problem. SoCPaR 2009: 563-568 - 2008
- [j11]Hamid Beigy
Asynchronous cellular learning automata. Autom. 44(5): 1350-1357 (2008) - [c18]Mehrdad Khatir, Amir-Hossein Jahangir
Investigating the Baldwin effect on Cartesian Genetic Programming efficiency. IEEE Congress on Evolutionary Computation 2008: 2360-2364 - [c17]Mehran Najafi, Hamid Beigy
Using PCA to improve evolutionary cellular automata algorithms. GECCO 2008: 1129-1130 - [c16]Seyed Jalal Kazemitabar, Hamid Beigy
Automatic Discovery of Subgoals in Reinforcement Learning Using Strongly Connected Components. ICONIP (1) 2008: 829-834 - [c15]Saeedeh Momtazi
Solving Stochastic Path Problem: Particle Swarm Optimization Approach. IEA/AIE 2008: 590-600 - [c14]Sajad Shirali-Shahreza, Hamid Beigy
Knapsack Model for Pixel Based Skin Detection. IIH-MSP 2008: 581-584 - 2007
- [j10]Hamid Beigy
Open Synchronous Cellular Learning Automata. Adv. Complex Syst. 10(4): 527-556 (2007) - [c13]Javad Safaei, Hamid Beigy
Quine-McCluskey Classification. AICCSA 2007: 404-411 - 2006
- [j9]Hamid Beigy
Utilizing Distributed Learning Automata to Solve Stochastic Shortest Path Problems. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 14(5): 591-615 (2006) - [j8]Hamid Beigy
A new continuous action-set learning automaton for function optimization. J. Frankl. Inst. 343(1): 27-47 (2006) - [c12]Reza Iraji
IJA Automaton: Expediency and E-Optimality Properties. IEEE ICCI 2006: 617-622 - 2005
- [j7]Hamid Beigy
An adaptive call admission algorithm for cellular networks. Comput. Electr. Eng. 31(2): 132-151 (2005) - [j6]Hamid Beigy
A general call admission policy for next generation wireless networks. Comput. Commun. 28(16): 1798-1813 (2005) - 2004
- [j5]Hamid Beigy
A Mathematical Framework for Cellular Learning Automata. Adv. Complex Syst. 7(3-4): 295-319 (2004) - [j4]Hamid Beigy, Mohammad Reza Meybodi:
A new fractional channel policy. J. High Speed Networks 13(1): 25-36 (2004) - 2003
- [c11]Hamid Beigy, Mohammad Reza Meybodi:
A Self-Organizing Channel Assignment Algorithm: A Cellular Learning Automata Approach. IDEAL 2003: 119-126 - [c10]Hamid Beigy, Mohammad Reza Meybodi:
An Adaptive Uniform Fractional Guard Channel Algorithm: A Learning Automata Approach. IDEAL 2003: 405-409 - [c9]Hamid Beigy
Multi-threshold Guard Channel Policy for Next Generation Wireless Networks. ISCIS 2003: 755-762 - [c8]Hamid Beigy
A New Continuous Action-Set Learning Automaton for Function Optimization. ISCIS 2003: 960-967 - 2002
- [j3]Mohammad Reza Meybodi, Hamid Beigy
New Learning Automata Based Algorithms for Adaptation of Backpropagation Algorithm Parameters. Int. J. Neural Syst. 12(1): 45-67 (2002) - [j2]Mohammad Reza Meybodi, Hamid Beigy
A note on learning automata-based schemes for adaptation of BP parameters. Neurocomputing 48(1-4): 957-974 (2002) - [c7]Hamid Beigy
Call Admission Control in Cellular Mobile Networks: A Learning Automata Approach. EurAsia-ICT 2002: 450-457 - [c6]Hamid Beigy
A Learning Automata Based Dynamic Guard Channel Scheme. EurAsia-ICT 2002: 643-650 - [c5]Hamid Beigy, Mohammad Reza Meybodi:
A New Distributed Learning Automata Based Algorithm For Solving Stochastic Shortest Path Problem. JCIS 2002: 339-343 - [c4]Hamid Beigy, Mohammad Reza Meybodi:
A Learning Automata Based Graph Isomorphism Algorithm. JCIS 2002: 344-348 - 2001
- [j1]Hamid Beigy
Backpropagation Algorithm Adaptation Parameters Using Learning Automata. Int. J. Neural Syst. 11(3): 219-228 (2001) - 2000
- [c3]Mohammad Reza Meybodi, Hamid Beigy
A Note on Learning Automata Based Schemes for Adaptation of BP Parameters. IDEAL 2000: 145-149 - [c2]Hamid Beigy
Adaptation of Parameters of BP Algorithm Using Learning Automata. SBRN 2000: 24-31
1990 – 1999
- 1995
- [c1]Hamid Beigy, Ali M. Eydgahi, S. D. Katebi:
Elastic fuzzy logic for self-learning control systems. ICNN 1995: 622-626
Coauthor Index
Mohammad Reza Meybodi
aka: M. R. Meybodi
aka: M. R. Meybodi
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