Hamid Beigy

Orcid: 0000-0003-1679-2092

Affiliations:
  • Sharif University of Technology, Tehran, Iran


According to our database1, Hamid Beigy authored at least 123 papers between 1995 and 2024.

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Bibliography

2024
T-shaped expert mining: a novel approach based on skill translation and focal loss.
J. Intell. Inf. Syst., April, 2024

Knowledge graph construction in hyperbolic space for automatic image annotation.
Image Vis. Comput., 2024

SAST: A self-attention based method for skill translation in T-shaped expert finding.
Inf. Sci., 2024

Zero-Shot Learning and Key Points Are All You Need for Automated Fact-Checking.
CoRR, 2024

Multi-BERT: Leveraging Adapters and Prompt Tuning for Low-Resource Multi-Domain Adaptation.
CoRR, 2024

Approximating Simplet Frequency Distribution for Simplicial Complexes.
CoRR, 2024

FaBERT: Pre-training BERT on Persian Blogs.
CoRR, 2024

The Open Story Model (OSM): Transforming Big Data into Interactive Narratives.
Proceedings of the IEEE International Conference on Web Services, 2024

Consistency Training by Synthetic Question Generation for Conversational Question Answering.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics, 2024

2023
Learning Hidden Graphs From Samples.
IEEE Trans. Pattern Anal. Mach. Intell., October, 2023

Concept drift handling: A domain adaptation perspective.
Expert Syst. Appl., August, 2023

SGCSumm: An extractive multi-document summarization method based on pre-trained language model, submodularity, and graph convolutional neural networks.
Expert Syst. Appl., April, 2023

Storytelling with Image Data: A Systematic Review and Comparative Analysis of Methods and Tools.
Algorithms, March, 2023

PCoQA: Persian Conversational Question Answering Dataset.
CoRR, 2023

KhabarChin: Automatic Detection of Important News in the Persian Language.
CoRR, 2023

SUTNLP at SemEval-2023 Task 4: LG-Transformer for Human Value Detection.
Proceedings of the The 17th International Workshop on Semantic Evaluation, 2023

SUTNLP at SemEval-2023 Task 10: RLAT-Transformer for explainable online sexism detection.
Proceedings of the The 17th International Workshop on Semantic Evaluation, 2023

Borderless Azerbaijani Processing: Linguistic Resources and a Transformer-based Approach for Azerbaijani Transliteration.
Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics, 2023

2022
Structural virality estimation and maximization in diffusion networks.
Expert Syst. Appl., 2022

Hybrid multi-document summarization using pre-trained language models.
Expert Syst. Appl., 2022

Attention-based skill translation models for expert finding.
Expert Syst. Appl., 2022

Gransformer: Transformer-based Graph Generation.
CoRR, 2022

Image Data Augmentation and Convolutional Feature Map Visualizations in Computer Vision Applications.
Proceedings of the Service-Oriented Computing - ICSOC 2022 Workshops - ASOCA, AI-PA, FMCIoT, WESOACS 2022, Sevilla, Spain, November 29, 2022

Persian Natural Language Inference: A Meta-learning Approach.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

2021
Masked Autoencoder for Distribution Estimation on Small Structured Data Sets.
IEEE Trans. Neural Networks Learn. Syst., 2021

A sampling method based on distributed learning automata for solving stochastic shortest path problem.
Knowl. Based Syst., 2021

A distributed density estimation algorithm and its application to naive Bayes classification.
Appl. Soft Comput., 2021

Automatic Image Annotation Using Quantization Reweighting Function and Graph Neural Networks.
Proceedings of the Service-Oriented Computing - ICSOC 2021 Workshops, 2021

ParsTwiNER: A Corpus for Named Entity Recognition at Informal Persian.
Proceedings of the Seventh Workshop on Noisy User-generated Text, 2021

2020
An iterative stochastic algorithm based on distributed learning automata for finding the stochastic shortest path in stochastic graphs.
J. Supercomput., 2020

Density peaks clustering based on density backbone and fuzzy neighborhood.
Pattern Recognit., 2020

Supervised fuzzy partitioning.
Pattern Recognit., 2020

Deep submodular network: An application to multi-document summarization.
Expert Syst. Appl., 2020

Improved K2 algorithm for Bayesian network structure learning.
Eng. Appl. Artif. Intell., 2020

Learning a metric when clustering data points in the presence of constraints.
Adv. Data Anal. Classif., 2020

2019
Viral Cascade Probability Estimation and Maximization in Diffusion Networks.
IEEE Trans. Knowl. Data Eng., 2019

Concept-evolution detection in non-stationary data streams: a fuzzy clustering approach.
Knowl. Inf. Syst., 2019

Sentiment analysis on stock social media for stock price movement prediction.
Eng. Appl. Artif. Intell., 2019

2018
A graph-theoretic approach toward autonomous skill acquisition in reinforcement learning.
Evol. Syst., 2018

Detection of evolving concepts in non-stationary data streams: A multiple kernel learning approach.
Expert Syst. Appl., 2018

Locating the Source in Real-world Diffusion Network.
CoRR, 2018

An Order-based Algorithm for Learning Structure of Bayesian Networks.
Proceedings of the International Conference on Probabilistic Graphical Models, 2018

2017
On dynamicity of expert finding in community question answering.
Inf. Process. Manag., 2017

Associative cellular learning automata and its applications.
Appl. Soft Comput., 2017

2016
An ensemble of cluster-based classifiers for semi-supervised classification of non-stationary data streams.
Knowl. Inf. Syst., 2016

Critic learning in multi agent credit assignment problem.
J. Intell. Fuzzy Syst., 2016

Cascading randomized weighted majority: A new online ensemble learning algorithm.
Intell. Data Anal., 2016

A novel concept drift detection method in data streams using ensemble classifiers.
Intell. Data Anal., 2016

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, 2016

2015
A learning automata-based adaptive uniform fractional guard channel algorithm.
J. Supercomput., 2015

Active constrained fuzzy clustering: A multiple kernels learning approach.
Pattern Recognit., 2015

A cooperative learning method based on cellular learning automata and its application in optimization problems.
J. Comput. Sci., 2015

Novel class detection in data streams using local patterns and neighborhood graph.
Neurocomputing, 2015

Incremental RotBoost algorithm: An application for spam filtering.
Intell. Data Anal., 2015

2014
Integration of scientific and social networks.
World Wide Web, 2014

A localization algorithm for large scale mobile wireless sensor networks: a learning approach.
J. Supercomput., 2014

Expertise Finding in Bibliographic Network: Topic Dominance Learning Approach.
IEEE Trans. Cybern., 2014

Active selection of clustering constraints: a sequential approach.
Pattern Recognit., 2014

A new fuzzy negotiation protocol for grid resource allocation.
J. Netw. Comput. Appl., 2014

Expert group formation using facility location analysis.
Inf. Process. Manag., 2014

Expertness framework in multi-agent systems and its application in credit assignment problem.
Intell. Data Anal., 2014

A new real-coded Bayesian optimization algorithm based on a team of learning automata for continuous optimization.
Genet. Program. Evolvable Mach., 2014

Exploiting Structural Information of Data in Active Learning.
Proceedings of the Artificial Intelligence and Soft Computing, 2014

2013
Negotiation strategies considering market, time and behavior functions for resource allocation in computational grid.
J. Supercomput., 2013

A novel graphical approach to automatic abstraction in reinforcement learning.
Robotics Auton. Syst., 2013

Market_based grid resource allocation using new negotiation model.
J. Netw. Comput. Appl., 2013

A New Ensemble Method for Feature Ranking in Text Mining.
Int. J. Artif. Intell. Tools, 2013

Inferring signaling pathways using interventional data.
Intell. Data Anal., 2013

Using a classifier pool in accuracy based tracking of recurring concepts in data stream classification.
Evol. Syst., 2013

An algorithm for discovering clusters of different densities or shapes in noisy data sets.
Proceedings of the 28th Annual ACM Symposium on Applied Computing, 2013

An adaptive regression tree for non-stationary data streams.
Proceedings of the 28th Annual ACM Symposium on Applied Computing, 2013

A Joint Classification Method to Integrate Scientific and Social Networks.
Proceedings of the Advances in Information Retrieval, 2013

Expertise retrieval in bibliographic network: a topic dominance learning approach.
Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

Automatic Abstraction in Reinforcement Learning Using Ant System Algorithm.
Proceedings of the Lifelong Machine Learning, 2013

2012
A new method of mining data streams using harmony search.
J. Intell. Inf. Syst., 2012

Learning to filter spam emails: An ensemble learning approach.
Int. J. Hybrid Intell. Syst., 2012

A Genetic Programming-Based Learning Algorithms for Pruning Cost-Sensitive Classifiers.
Int. J. Comput. Intell. Appl., 2012

A New Genetic Algorithm for Multiple sequence Alignment.
Int. J. Comput. Intell. Appl., 2012

Semi-supervised Ensemble Learning of Data Streams in the Presence of Concept Drift.
Proceedings of the Hybrid Artificial Intelligent Systems - 7th International Conference, 2012

New Management Operations on Classifiers Pool to Track Recurring Concepts.
Proceedings of the Data Warehousing and Knowledge Discovery, 2012

Multi-aspect group formation using facility location analysis.
Proceedings of the Seventeenth Australasian Document Computing Symposium, 2012

2011
Learning automata based dynamic guard channel algorithms.
Comput. Electr. Eng., 2011

A new method for discovering subgoals and constructing options in reinforcement learning.
Proceedings of the 5th Indian International Conference on Artificial Intelligence, 2011

A New Image Segmentation Algorithm: A Community Detection Approach.
Proceedings of the 5th Indian International Conference on Artificial Intelligence, 2011

Pool and Accuracy Based Stream Classification: A New Ensemble Algorithm on Data Stream Classification Using Recurring Concepts Detection.
Proceedings of the Data Mining Workshops (ICDMW), 2011

New Drift Detection Method for Data Streams.
Proceedings of the Adaptive and Intelligent Systems - Second International Conference, 2011

2010
Cellular Learning Automata With Multiple Learning Automata in Each Cell and Its Applications.
IEEE Trans. Syst. Man Cybern. Part B, 2010

Special issue on network-based high performance computing.
J. Supercomput., 2010

2009
Adaptive Limited fractional Guard Channel Algorithms: a Learning Automata Approach.
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2009

A learning automata-based algorithm for determination of the number of hidden units for three-layer neural networks.
Int. J. Syst. Sci., 2009

Cellular Learning Automata Based Dynamic Channel Assignment Algorithms.
Int. J. Comput. Intell. Appl., 2009

Toward a Solution to Multi-agent Credit Assignment Problem.
Proceedings of the First International Conference of Soft Computing and Pattern Recognition, 2009

Using Strongly Connected Components as a Basis for Autonomous Skill Acquisition in Reinforcement Learning.
Proceedings of the Advances in Neural Networks, 2009

A new fractional call admission control scheme in intergrated cellular network.
Proceedings of the 2009 IEEE International Conference on Electro/Information Technology, 2009

A 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 Electro/Information Technology, 2009

Dynamic classifier selection using clustering for spam detection.
Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2009

2008
Asynchronous cellular learning automata.
Autom., 2008

Knapsack Model for Pixel Based Skin Detection.
Proceedings of the 4th International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP 2008), 2008

Solving Stochastic Path Problem: Particle Swarm Optimization Approach.
Proceedings of the New Frontiers in Applied Artificial Intelligence, 2008

Automatic Discovery of Subgoals in Reinforcement Learning Using Strongly Connected Components.
Proceedings of the Advances in Neuro-Information Processing, 15th International Conference, 2008

Using PCA to improve evolutionary cellular automata algorithms.
Proceedings of the Genetic and Evolutionary Computation Conference, 2008

Investigating the Baldwin effect on Cartesian Genetic Programming efficiency.
Proceedings of the IEEE Congress on Evolutionary Computation, 2008

2007
Open Synchronous Cellular Learning Automata.
Adv. Complex Syst., 2007

Quine-McCluskey Classification.
Proceedings of the 2007 IEEE/ACS International Conference on Computer Systems and Applications (AICCSA 2007), 2007

2006
A new continuous action-set learning automaton for function optimization.
J. Frankl. Inst., 2006

Utilizing Distributed Learning Automata to Solve Stochastic Shortest Path Problems.
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2006

IJA Automaton: Expediency and E-Optimality Properties.
Proceedings of the Firth IEEE International Conference on Cognitive Informatics, 2006

2005
A general call admission policy for next generation wireless networks.
Comput. Commun., 2005

An adaptive call admission algorithm for cellular networks.
Comput. Electr. Eng., 2005

2004
A new fractional channel policy.
J. High Speed Networks, 2004

A Mathematical Framework for Cellular Learning Automata.
Adv. Complex Syst., 2004

2003
Multi-threshold Guard Channel Policy for Next Generation Wireless Networks.
Proceedings of the Computer and Information Sciences, 2003

An Adaptive Uniform Fractional Guard Channel Algorithm: A Learning Automata Approach.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2003

A Self-Organizing Channel Assignment Algorithm: A Cellular Learning Automata Approach.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2003

2002
A note on learning automata-based schemes for adaptation of BP parameters.
Neurocomputing, 2002

New Learning Automata Based Algorithms for Adaptation of Backpropagation Algorithm Parameters.
Int. J. Neural Syst., 2002

A Learning Automata Based Graph Isomorphism Algorithm.
Proceedings of the 6th Joint Conference on Information Science, 2002

A New Distributed Learning Automata Based Algorithm For Solving Stochastic Shortest Path Problem.
Proceedings of the 6th Joint Conference on Information Science, 2002

A Learning Automata Based Dynamic Guard Channel Scheme.
Proceedings of the EurAsia-ICT 2002: Information and Communication Technology, 2002

Call Admission Control in Cellular Mobile Networks: A Learning Automata Approach.
Proceedings of the EurAsia-ICT 2002: Information and Communication Technology, 2002

2001
Backpropagation Algorithm Adaptation Parameters Using Learning Automata.
Int. J. Neural Syst., 2001

2000
Adaptation of Parameters of BP Algorithm Using Learning Automata.
Proceedings of the 6th Brazilian Symposium on Neural Networks (SBRN 2000), 2000

1995
Elastic fuzzy logic for self-learning control systems.
Proceedings of International Conference on Neural Networks (ICNN'95), Perth, WA, Australia, November 27, 1995


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