H. Beigy

发表

A New Continuous Action-Set Learning Automaton for Function Optimization

M. Meybodi, H. Beigy, 2003, ISCIS.

Cellular Learning Automata With Multiple Learning Automata in Each Cell and Its Applications

M. Meybodi, H. Beigy, 2010, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

St Reading Cellular Learning Automata Based Dynamic Channel Assignment Algorithms 5

H. Beigy, 2009 .

An Evolutionary Approach to Generalized Mirror Sites Problem

Shahriar Etemadi Tajbakhsh, A. Movaghar, H. Beigy, 2009 .

Revert Propagation: Who are responsible for a contagion initialization in a Diffusion Network?

H. Beigy, Mohammadzaman Zamani, Arman Sepehr, 2020, 2020 11th International Conference on Information and Knowledge Technology (IKT).

Quantitative EEG features selection in the classification of attention and response control in the children and adolescents with attention deficit hyperactivity disorder

M. Ghazisaeedi, H. Beigy, L. Shahmoradi, 2018, Future science OA.

Designing a Clinical Decision Support System for Recommending Computerized Cognitive Rehabilitation Programs: the Experience of Attention Deficit Hyperactivity Disorder

M. Ghazisaeedi, H. Beigy, L. Shahmoradi, 2018, 2018 2nd National and 1st International Digital Games Research Conference: Trends, Technologies, and Applications (DGRC).

Expert Finding in Community Question Answering

H. Beigy, Mohammad Miri, 2020 .

NEW CLASSES OF LEARNING AUTOMATA BASED SCHEMES FOR ADAPTATION OF BACKPROPAGATION

H. Beigy, 2000 .

A minimum data set of user profile or electronic health record for chemical warfare victims’ recommender system

M. Ghazisaeedi, H. Beigy, L. Shahmoradi, 2020, Journal of family medicine and primary care.

Multi-document Online News Summarization by Learnable Submodular Functions

H. Beigy, Alireza Ghadimi, 2020 .

Structural virality estimation and maximization in diffusion networks

H. Beigy, Arman Sepehr, 2022, Expert Syst. Appl..

Bleaching of Congo red in the presence of ZnS nanoparticles, with dopant of Co2+ ion, as photocatalyst under UV and sunlight irradiations

H. R. Pouretedal, H. Beigy, M. Keshavarz, 2010, Environmental technology.

A new method of mining data streams using harmony search

H. Beigy, H. Abolhassani, Zohre Karimi, 2012, Journal of Intelligent Information Systems.

WISECODE: wise image segmentation based on community detection

Hamid Beigy, A. A. Abin, Ahmad Ali Abin, 2014 .

A New Image Segmentation Algorithm: A Community Detection Approach

Hamid Beigy, A. A. Abin, Ahmad Ali Abin, 2011, IICAI.

Toward a Solution to Multi-agent Credit Assignment Problem

Hamid Beigy, Zahra Rahaie, H. Beigy, 2009, 2009 International Conference of Soft Computing and Pattern Recognition.

A novel graphical approach to automatic abstraction in reinforcement learning

Hamid Beigy, Nasrin Taghizadeh, H. Beigy, 2013, Robotics Auton. Syst..

Density peaks clustering based on density backbone and fuzzy neighborhood

Parham Moradi, Hamid Beigy, Abdulrahman Lotfi, 2020, Pattern Recognit..

Using Strongly Connected Components as a Basis for Autonomous Skill Acquisition in Reinforcement Learning

Hamid Beigy, S. J. Kazemitabar, Seyed Jalal Kazemitabar, 2009, ISNN.

Detection of evolving concepts in non-stationary data streams: A multiple kernel learning approach

Hamid Beigy, Poorya ZareMoodi, Sajjad Kamali Siahroudi, 2018, Expert Syst. Appl..

Expert group formation using facility location analysis

Djoerd Hiemstra, Hamid Beigy, Mahmood Neshati, 2014, Inf. Process. Manag..

Automatic Abstraction in Reinforcement Learning Using Ant System Algorithm

Hamid Beigy, Mohsen Ghafoorian, Nasrin Taghizadeh, 2013, AAAI Spring Symposium: Lifelong Machine Learning.

A support vector based approach for classification beyond the learned label space in data streams

Hamid Beigy, Poorya ZareMoodi, Sajjad Kamali Siahroudi, 2016, SAC.

Active selection of clustering constraints: a sequential approach

Hamid Beigy, A. A. Abin, Ahmad Ali Abin, 2014, Pattern Recognit..

Investigating the Baldwin effect on Cartesian Genetic Programming efficiency

Hamid Beigy, Mehrdad Khatir, Amir-Hossein Jahangir, 2008, 2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence).

Exploiting Structural Information of Data in Active Learning

Hamid Beigy, Maryam Shadloo, Siavash Haghiri, 2014, ICAISC.

Gene Expression Based Classification using Iterative Transductive Support Vector Machine

Hamid Beigy, Hossein Tajari, H. Beigy, 2012 .

Hybrid multi-document summarization using pre-trained language models

H. Beigy, Alireza Ghadimi, 2021, Expert Systems with Applications.

A cooperative learning method based on cellular learning automata and its application in optimization problems

Hamid Beigy, Mohammad Ebrahim Shiri, Milad Mozafari, 2015, J. Comput. Sci..

The Shapley value for a fair division of group discounts for coordinating cooling loads

Talal Rahwan, Hamid Beigy, Areej Malibari, 2020, PloS one.

Market_based grid resource allocation using new negotiation model

Hamid Beigy, Ali Movaghar-Rahimabadi, Amir Masoud Rahmani, 2013, J. Netw. Comput. Appl..

Negotiation strategies considering market, time and behavior functions for resource allocation in computational grid

A. Movaghar, H. Beigy, A. Rahmani, 2013, The Journal of Supercomputing.

On dynamicity of expert finding in community question answering

Hamid Beigy, Mahmood Neshati, Zohreh Fallahnejad, 2017, Inf. Process. Manag..

Attention-based skill translation models for expert finding

H. Beigy, Zohreh Fallahnejad, 2022, Expert Syst. Appl..

A Genetic Programming-Based Learning Algorithms for Pruning Cost-Sensitive Classifiers

Hamid Beigy, Zahra Nikdel, H. Beigy, 2012, Int. J. Comput. Intell. Appl..

Cellular learning automata with external input and its applications in pattern recognition

Hamid Beigy, Meysam Ahangaran, H. Beigy, 2009, 2009 Fifth International Conference on Soft Computing, Computing with Words and Perceptions in System Analysis, Decision and Control.

Sentiment analysis on stock social media for stock price movement prediction

Hamid Beigy, Ali Derakhshan, H. Beigy, 2019, Eng. Appl. Artif. Intell..

An incremental spam detection algorithm

Hamid Beigy, Elham Ghanbari, H. Beigy, 2011, 2011 International Symposium on Artificial Intelligence and Signal Processing (AISP).

Asynchronous cellular learning automata

Mohammad Reza Meybodi, Hamid Beigy, M. Meybodi, 2008, Autom..

Open Synchronous Cellular Learning Automata

Mohammad Reza Meybodi, Hamid Beigy, M. Meybodi, 2007, Adv. Complex Syst..

A Mathematical Framework for Cellular Learning Automata

Mohammad Reza Meybodi, Hamid Beigy, M. Meybodi, 2004, Adv. Complex Syst..

Storytelling with Image Data: A Systematic Review and Comparative Analysis of Methods and Tools

A. Beheshti, M. Jamzad, H. Beigy, 2023, Algorithms.

A new real-coded Bayesian optimization algorithm based on a team of learning automata for continuous optimization

Hamid Beigy, Behnaz Moradabadi, H. Beigy, 2014, Genetic Programming and Evolvable Machines.

A novel concept drift detection method in data streams using ensemble classifiers

Hamid Beigy, Poorya ZareMoodi, Mahdie Dehghan, 2016, Intell. Data Anal..

New Drift Detection Method for Data Streams

Hamid Beigy, Parinaz Sobhani, Parinaz Sobhani, 2011, ICAIS.

Deep submodular network: An application to multi-document summarization

Alireza Ghadimi, Hamid Beigy, H. Beigy, 2020, Expert Syst. Appl..

A general call admission policy for next generation wireless networks

Mohammad Reza Meybodi, Hamid Beigy, M. Meybodi, 2005, Comput. Commun..

A learning automata-based adaptive uniform fractional guard channel algorithm

Mohammad Reza Meybodi, Hamid Beigy, M. Meybodi, 2015, The Journal of Supercomputing.

Using a classifier pool in accuracy based tracking of recurring concepts in data stream classification

Mohammad Javad Hosseini, H. Beigy, Zahra Ahmadi, 2013, Evol. Syst..

Concept drift handling: A domain adaptation perspective

H. Beigy, Mahmood Karimian, 2023, Expert Syst. Appl..

An ensemble of cluster-based classifiers for semi-supervised classification of non-stationary data streams

Hamid Beigy, Mohammad Javad Hosseini, Ameneh Gholipour, 2016, Knowledge and Information Systems.

Novel class detection in data streams using local patterns and neighborhood graph

Hamid Beigy, Poorya ZareMoodi, Sajjad Kamali Siahroudi, 2015, Neurocomputing.

Cascading randomized weighted majority: A new online ensemble learning algorithm pdf

Hamid Beigy, Amirreza Shaban, Mohammadzaman Zamani, 2014, Intell. Data Anal..

Pool and Accuracy Based Stream Classification: A New Ensemble Algorithm on Data Stream Classification Using Recurring Concepts Detection

Hamid Beigy, Zahra Ahmadi, Mohammad Javad Hosseini, 2011, 2011 IEEE 11th International Conference on Data Mining Workshops.

Concept-evolution detection in non-stationary data streams: a fuzzy clustering approach

H. Beigy, Poorya Zaremoodi, Sajjad Kamali Siahroudi, 2018, Knowledge and Information Systems.

Semi-supervised Ensemble Learning of Data Streams in the Presence of Concept Drift

Hamid Beigy, Zahra Ahmadi, H. Beigy, 2012, HAIS.

An adaptive regression tree for non-stationary data streams

Hamid Beigy, Mohammad Javad Hosseini, Ameneh Gholipour, 2013, SAC '13.

New ensemble method for classification of data streams

Hamid Beigy, Parinaz Sobhani, Parinaz Sobhani, 2011 .

A note on learning automata-based schemes for adaptation of BP parameters

Mohammad Reza Meybodi, Hamid Beigy, M. Meybodi, 2002, Neurocomputing.

Utilization of Fixed Structure Learning Automata for Adaptation of Learning Rate in Backpropagation Algorithm

Mohammad Reza Meybodi, Mohammad Bagher Menhaj, Hamid Beigy, 2002 .

A Survey for Load Balancing in Mobile WiMAX Networks

Hamid Beigy, Camellia Askarian, H. Beigy, 2012, Advanced Computing: An International Journal.

Improved K2 algorithm for Bayesian network structure learning

Shahab Behjati, Hamid Beigy, H. Beigy, 2020, Eng. Appl. Artif. Intell..

A Self-Organizing Channel Assignment Algorithm: A Cellular Learning Automata Approach

Mohammad Reza Meybodi, Hamid Beigy, M. Meybodi, 2003, IDEAL.

Expertise retrieval in bibliographic network: a topic dominance learning approach

Hamid Beigy, Mahmood Neshati, Seyyed Hadi Hashemi, 2013, CIKM.

A new fuzzy negotiation protocol for grid resource allocation

Hamid Beigy, Ali Movaghar-Rahimabadi, Amir Masoud Rahmani, 2014, J. Netw. Comput. Appl..

SUTNLP at SemEval-2023 Task 10: RLAT-Transformer for explainable online sexism detection

H. Sameti, H. Beigy, Hamed Hematian Hemati, 2023, SEMEVAL.

SUTNLP at SemEval-2023 Task 4: LG-Transformer for Human Value Detection

H. Sameti, H. Beigy, Hamed Hematian Hemati, 2023, SEMEVAL.

Expertness framework in multi-agent systems and its application in credit assignment problem

Hamid Beigy, Zahra Rahaie, H. Beigy, 2014, Intell. Data Anal..

Critic learning in multi agent credit assignment problem

Hamid Beigy, Zahra Rahaie, H. Beigy, 2016, J. Intell. Fuzzy Syst..

Spam Detection Using Dynamic Weighted Voting Based on Clustering

M.F. Saeedian, H. Beigy, H. Beigy, 2008, 2008 Second International Symposium on Intelligent Information Technology Application.

Learning to filter spam emails: An ensemble learning approach

Hamid Beigy, Mehrnoush Famil Saeedian, H. Beigy, 2012, Int. J. Hybrid Intell. Syst..

IJA Automaton: Expediency and ε-optimality Properties

Hamid Beigy, Mohammad T. Manzuri Shalmani, Reza Iraji, 2006, 2006 5th IEEE International Conference on Cognitive Informatics.

A localization algorithm for large scale mobile wireless sensor networks: a learning approach

H. Beigy, Samira Afzal, 2014, The Journal of Supercomputing.

Genetic Ink Drop Spread

S.B. Shouraki, H. Beigy, H. Sagha, 2008, 2008 Second International Symposium on Intelligent Information Technology Application.

New Learning Automata Based Algorithms for Adaptation of Backpropagation Algorithm Parameters

Mohammad Reza Meybodi, Hamid Beigy, M. Meybodi, 2002, Int. J. Neural Syst..

A graph-theoretic approach toward autonomous skill acquisition in reinforcement learning

Hamid Beigy, Seyed Jalal Kazemitabar, Nasrin Taghizadeh, 2017, Evolving Systems.

A graph-theoretic approach toward autonomous skill acquisition in reinforcement learning

H. Beigy, Nasrin Taghizadeh, Seed Jalal Kazemitabar, 2017, Evolutionary Systematics.

Automatic Discovery of Subgoals in Reinforcement Learning Using Strongly Connected Components

Hamid Beigy, Seyed Jalal Kazemitabar, H. Beigy, 2008, ICONIP.

A new method for discovering subgoals and constructing options in reinforcement learning

Hamid Beigy, Marzieh Davoodabadi, H. Beigy, 2011, IICAI.

Cellular Learning Automata Based Dynamic Channel Assignment Algorithms

Mohammad Reza Meybodi, Hamid Beigy, M. Meybodi, 2009, Int. J. Comput. Intell. Appl..

An Order-based Algorithm for Learning Structure of Bayesian Networks

Shahab Behjati, Hamid Beigy, H. Beigy, 2018, PGM.

Masked Autoencoder for Distribution Estimation on Small Structured Data Sets

Hamid Beigy, Hatef Madani, Ahmad Khajenezhad, 2020, IEEE Transactions on Neural Networks and Learning Systems.

An adaptive call admission algorithm for cellular networks

Mohammad Reza Meybodi, Hamid Beigy, M. Meybodi, 2005, Comput. Electr. Eng..

A learning automata-based algorithm for determination of the number of hidden units for three-layer neural networks

Mohammad Reza Meybodi, Hamid Beigy, M. Meybodi, 2009, Int. J. Syst. Sci..

Quine-McCluskey Classification

Hamid Beigy, Javad Safaei, H. Beigy, 2007, 2007 IEEE/ACS International Conference on Computer Systems and Applications.

SGCSumm: An extractive multi-document summarization method based on pre-trained language model, submodularity, and graph convolutional neural networks

H. Beigy, Alireza Ghadimi, Alireza Ghadimi, 2022, Expert Syst. Appl..

Learning Hidden Graphs From Samples

H. Beigy, Ahmad Abniki, 2023, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Automatic Abstraction in Reinforcement Learning Using Ant System Algorithm

H. Beigy, Nasrin Taghizadeh, M. Ghafoorian, 2013, AAAI Spring Symposium: Lifelong Machine Learning.

Scalable Architecture for Telemonitoring Chronic Diseases in Order to Support the CDSSs in a Common Platform

Hamid Beigy, Reza Safdari, Roxana Sharifian, 2018, Acta informatica medica : AIM : journal of the Society for Medical Informatics of Bosnia & Herzegovina : casopis Drustva za medicinsku informatiku BiH.

A Note on Learning Automata Based Schemes for Adaptation of BP Parameters

Mohammad Reza Meybodi, Hamid Beigy, M. Meybodi, 2000, IDEAL.

Addition of learning to critic agent as a solution to the multi-agent credit assignment problem

Hamid Beigy, Zahra Rahaie, H. Beigy, 2009, 2009 Fifth International Conference on Soft Computing, Computing with Words and Perceptions in System Analysis, Decision and Control.

A distributed density estimation algorithm and its application to naive Bayes classification

Hamid Beigy, Ahmad Khajenezhad, Mohammad Ali Bashiri, 2020, Appl. Soft Comput..

Sentiment analysis on stock social media for stock price movement prediction

H. Beigy, Ali Derakhshan, 2019, Eng. Appl. Artif. Intell..

An algorithm for discovering clusters of different densities or shapes in noisy data sets

Hamid Beigy, Fereshte Khani, Mohammad Javad Hosseini, 2013, SAC '13.

Expectation propagation for large scale Bayesian inference of non-linear molecular networks from perturbation data

Holger Fröhlich, Hamid Beigy, Ali Masoudi-Nejad, 2017, PloS one.