Development of Grid resource discovery service based on semantic information. - Amin Beheshti; Mohsen Sadighi Moshkenani (SpringSim (1), 2007)

A Query Language for Analyzing Business Processes Execution. - Amin Beheshti; Boualem Benatallah; Hamid R. Motahari Nezhad; Sherif Sakr (BPM, 2011)

Reputation management in crowdsourcing systems. - Mohammad Allahbakhsh; Aleksandar Ignjatovic; Boualem Benatallah; Amin Beheshti; Elisa Bertino; Norman Foo (CollaborateCom, 2012)

A Framework and a Language for On-Line Analytical Processing on Graphs. - Amin Beheshti; Boualem Benatallah; Hamid R. Motahari Nezhad; Mohammad Allahbakhsh (WISE, 2012)

Detecting, Representing and Querying Collusion in Online Rating Systems - Mohammad Allahbakhsh; Aleksandar Ignjatovic; Boualem Benatallah; Amin Beheshti; Norman Foo; Elisa Bertino (CoRR, 2012)

An Analytic Approach to People Evaluation in Crowdsourcing Systems - Mohammad Allahbakhsh; Aleksandar Ignjatovic; Boualem Benatallah; Amin Beheshti; Norman Foo; Elisa Bertino (CoRR, 2012)

Temporal Provenance Model (TPM): Model and Query Language - Amin Beheshti; Hamid R. Motahari Nezhad; Boualem Benatallah (CoRR, 2012)

Extending SPARQL to Support Entity Grouping and Path Queries - Amin Beheshti; Sherif Sakr; Boualem Benatallah; Hamid R. Motahari Nezhad (CoRR, 2012)

Organizing, querying, and analyzing ad-hoc processes' data. - Amin Beheshti (2012)

Collusion Detection in Online Rating Systems. - Mohammad Allahbakhsh; Aleksandar Ignjatovic; Boualem Benatallah; Amin Beheshti; Elisa Bertino; Norman Foo (APWeb, 2013)

Enabling the Analysis of Cross-Cutting Aspects in Ad-Hoc Processes. - Amin Beheshti; Boualem Benatallah; Hamid R. Motahari Nezhad (CAiSE, 2013)

Big Data and Cross-Document Coreference Resolution: Current State and Future Opportunities. - Amin Beheshti; Srikumar Venugopal; Seung Hwan Ryu; Boualem Benatallah; Wei Wang 011 (CoRR, 2013)

On Characterizing the Performance of Distributed Graph Computation Platforms. - Ahmed Barnawi; Omar Batarfi; Amin Beheshti; Radwa El Shawi; Ayman G. Fayoumi; Reza Nouri; Sherif Sakr (TPCTC, 2014)

Representation and querying of unfair evaluations in social rating systems. - Mohammad Allahbakhsh; Aleksandar Ignjatovic; Boualem Benatallah; Amin Beheshti; Norman Foo; Elisa Bertino (Comput. Secur., 2014)

A Framework of Enriching Business Processes Life-Cycle with Tagging Information. - Zakaria Maamar; Sherif Sakr; Ahmed Barnawi; Amin Beheshti (ADC, 2015)

A Preliminary Approach to Domain-Based Evaluation of Users' Trustworthiness in Online Social Networks. - Bilal Abu-Salih; Pornpit Wongthongtham; Amin Beheshti; Dengya Zhu (BigData Congress, 2015)

Towards a Methodology for Social Business Intelligence in the Era of Big Social Data Incorporating Trust and Semantic Analysis. - Bilal Abu-Salih; Pornpit Wongthongtham; Amin Beheshti; Behrang Zadjabbari (DaEng, 2015)

Scalable SaaS-Based Process Customization with CaseWalls. - Yu-Jen John Sun; Moshe Chai Barukh; Boualem Benatallah; Amin Beheshti (ICSOC, 2015)

Large scale graph processing systems: survey and an experimental evaluation. - Omar Batarfi; Radwa El Shawi; Ayman G. Fayoumi; Reza Nouri; Amin Beheshti; Ahmed Barnawi; Sherif Sakr (Clust. Comput., 2015)

DREAM: Distributed RDF Engine with Adaptive Query Planner and Minimal Communication. - Mohammad Hammoud; Dania Abed Rabbou; Reza Nouri; Amin Beheshti; Sherif Sakr (Proc. VLDB Endow., 2015)

Process Analytics - Concepts and Techniques for Querying and Analyzing Process Data - Amin Beheshti; Boualem Benatallah; Sherif Sakr; Daniela Grigori; Hamid Reza Motahari-Nezhad; Moshe Chai Barukh; Ahmed Gater; Seung Hwan Ryu (Springer, 2016)

Galaxy: A Platform for Explorative Analysis of Open Data Sources. - Amin Beheshti; Boualem Benatallah; Hamid Reza Motahari-Nezhad (EDBT, 2016)

Data Curation APIs. - Amin Beheshti; Alireza Tabebordbar; Boualem Benatallah; Reza Nouri (CoRR, 2016)

Scalable graph-based OLAP analytics over process execution data. - Amin Beheshti; Boualem Benatallah; Hamid Reza Motahari-Nezhad (Distributed Parallel Databases, 2016)

CoreDB: a Data Lake Service. - Amin Beheshti; Boualem Benatallah; Reza Nouri; Van Munin Chhieng; HuangTao Xiong; Xu Zhao (CIKM, 2017)

Multi-Level Privacy-Preserving Access Control as a Service for Personal Healthcare Monitoring. - Usama Salama; Lina Yao 001; Xianzhi Wang 001; Hye-Young Paik; Amin Beheshti (ICWS, 2017)

On Automating Basic Data Curation Tasks. - Amin Beheshti; Alireza Tabebordbar; Boualem Benatallah; Reza Nouri (WWW (Companion Volume), 2017)

A systematic review and comparative analysis of cross-document coreference resolution methods and tools. - Amin Beheshti; Boualem Benatallah; Srikumar Venugopal; Seung Hwan Ryu; Hamid Reza Motahari-Nezhad; Wei Wang 011 (Computing, 2017)

TEXUS: Table Extraction System for PDF Documents. - Roya Rastan; Hye-Young Paik; John Shepherd 001; Seung Hwan Ryu; Amin Beheshti (ADC, 2018)

iRecruit: Towards Automating the Recruitment Process. - Usman Shahbaz; Amin Beheshti; Sadegh Nobari; Qiang Qu; Hye-Young Paik; Mehregan Mahdavi (ASSRI, 2018)

iProcess: Enabling IoT Platforms in Data-Driven Knowledge-Intensive Processes. - Amin Beheshti; Francesco Schiliro; Samira Ghodratnama; Farhad Amouzgar; Boualem Benatallah; Jian Yang 001; Quan Z. Sheng; Fabio Casati; Hamid Reza Motahari-Nezhad (BPM (Forum), 2018)

CrowdCorrect: A Curation Pipeline for Social Data Cleansing and Curation. - Amin Beheshti; Kushal Vaghani; Boualem Benatallah; Alireza Tabebordbar (CAiSE Forum, 2018)

Adaptive rule monitoring system. - Alireza Tabebordbar; Amin Beheshti (SE4COG@ICSE, 2018)

iSheets: A Spreadsheet-Based Machine Learning Development Platform for Data-Driven Process Analytics. - Farhad Amouzgar; Amin Beheshti; Samira Ghodratnama; Boualem Benatallah; Jian Yang 001; Quan Z. Sheng (ICSOC Workshops, 2018)

iCOP: IoT-Enabled Policing Processes. - Francesco Schiliro; Amin Beheshti; Samira Ghodratnama; Farhad Amouzgar; Boualem Benatallah; Jian Yang 001; Quan Z. Sheng; Fabio Casati; Hamid Reza Motahari-Nezhad (ICSOC Workshops, 2018)

Social Context-Aware Trust Prediction: Methods for Identifying Fake News. - Seyed Mohssen Ghafari; Shahpar Yakhchi; Amin Beheshti; Mehmet A. Orgun (WISE (1), 2018)

SETTRUST: Social Exchange Theory Based Context-Aware Trust Prediction in Online Social Networks. - Seyed Mohssen Ghafari; Shahpar Yakhchi; Amin Beheshti; Mehmet A. Orgun (QUAT@WISE, 2018)

CNR: Cross-network Recommendation Embedding User's Personality. - Shahpar Yakhchi; Seyed Mohssen Ghafari; Amin Beheshti (QUAT@WISE, 2018)

Correction To: Large scale graph processing systems: survey and an experimental evaluation. - Omar Batarfi; Radwa El Shawi; Ayman G. Fayoumi; Reza Nouri; Amin Beheshti; Ahmed Barnawi; Sherif Sakr (Clust. Comput., 2018)

CoreKG: a Knowledge Lake Service. - Amin Beheshti; Boualem Benatallah; Reza Nouri; Alireza Tabebordbar (Proc. VLDB Endow., 2018)

ProcessAtlas: A scalable and extensible platform for business process analytics. - Amin Beheshti; Boualem Benatallah; Hamid Reza Motahari-Nezhad (Softw. Pract. Exp., 2018)

Towards Context-Aware Social Behavioral Analytics. - Amin Beheshti; Vahid Moraveji Hashemi; Shahpar Yakhchi (MoMM, 2019)

DCAT: A Deep Context-Aware Trust Prediction Approach for Online Social Networks. - Seyed Mohssen Ghafari; Aditya Joshi; Amin Beheshti; Cécile Paris; Shahpar Yakhchi; Mehmet A. Orgun (MoMM, 2019)

Enabling the Analysis of Personality Aspects in Recommender Systems. - Shahpar Yakhchi; Amin Beheshti; Seyed Mohssen Ghafari; Mehmet A. Orgun (PACIS, 2019)

Intelligent Knowledge Lakes: The Age of Artificial Intelligence and Big Data. - Amin Beheshti; Boualem Benatallah; Quan Z. Sheng; Francesco Schiliro (WISE Workshops, 2019)

ConceptMap: A Conceptual Approach for Formulating User Preferences in Large Information Spaces. - Alireza Tabebordbar; Amin Beheshti; Boualem Benatallah (WISE, 2019)

Adaptive Rule Adaptation in Unstructured and Dynamic Environments. - Alireza Tabebordbar; Amin Beheshti; Boualem Benatallah; Moshe Chai Barukh (WISE, 2019)

DataSynapse: A Social Data Curation Foundry. - Amin Beheshti; Boualem Benatallah; Alireza Tabebordbar; Hamid Reza Motahari-Nezhad; Moshe Chai Barukh; Reza Nouri (Distributed Parallel Databases, 2019)

Cognitive Privacy: AI-enabled Privacy using EEG Signals in the Internet of Things. - Francesco Schiliro; Nour Moustafa; Amin Beheshti (DependSys, 2020)

Attention Mechanism in Predictive Business Process Monitoring. - Abdulrahman Jalayer; Mohsen Kahani; Amin Beheshti; Asef Pourmasoumi; Hamid Reza Motahari-Nezhad (EDOC, 2020)

Convolutional Neural Network for Medical Image Classification using Wavelet Features. - Amin Khatami; Asef Nazari; Amin Beheshti; Thanh Thi Nguyen 001; Saeid Nahavandi; Jerzy Zieba (IJCNN, 2020)

A Novel Cognitive Computing Technique Using Convolutional Networks for Automating the Criminal Investigation Process in Policing. - Francesco Schiliro; Amin Beheshti; Nour Moustafa (IntelliSys (1), 2020)

A dynamic deep trust prediction approach for online social networks. - Seyed Mohssen Ghafari; Amin Beheshti; Aditya Joshi; Cécile Paris; Shahpar Yakhchi; Alireza Jolfaei; Mehmet A. Orgun (MoMM, 2020)

Towards intelligent feature engineering for risk-based customer segmentation in banking. - Sam Khadivizand; Amin Beheshti; Fariborz Sobhanmanesh; Quan Z. Sheng; Elias Istanbouli; Steven Wood; Damon Pezaro (MoMM, 2020)

Linking textual and contextual features for intelligent cyberbullying detection in social media. - Nabi Rezvani; Amin Beheshti; Alireza Tabebordbar (MoMM, 2020)

personality2vec: Enabling the Analysis of Behavioral Disorders in Social Networks. - Amin Beheshti; Vahid Moraveji Hashemi; Shahpar Yakhchi; Hamid Reza Motahari-Nezhad; Seyed Mohssen Ghafari; Jian Yang 001 (WSDM, 2020)

iStory: Intelligent Storytelling with Social Data. - Amin Beheshti; Alireza Tabebordbar; Boualem Benatallah (WWW (Companion Volume), 2020)

A Survey on Trust Prediction in Online Social Networks. - Seyed Mohssen Ghafari; Amin Beheshti; Aditya Joshi; Cécile Paris; Adnan Mahmood; Shahpar Yakhchi; Mehmet A. Orgun (IEEE Access, 2020)

Extractive Document Summarization Based on Dynamic Feature Space Mapping. - Samira Ghodratnama; Amin Beheshti; Mehrdad Zakershahrak; Fariborz Sobhanmanesh (IEEE Access, 2020)

Towards a Deep Attention-Based Sequential Recommender System. - Shahpar Yakhchi; Amin Beheshti; Seyed Mohssen Ghafari; Mehmet A. Orgun; Guanfeng Liu 001 (IEEE Access, 2020)

Towards Cognitive Recommender Systems. - Amin Beheshti; Shahpar Yakhchi; Salman Mousaeirad; Seyed Mohssen Ghafari; Srinivasa Reddy Goluguri; Mohammad Amin Edrisi (Algorithms, 2020)

Deep feature learnt by conventional deep neural network. - Huan Niu; Wei Xu; Hamidreza Akbarzadeh; Hamid Parvin; Amin Beheshti; Hamid Alinejad-Rokny (Comput. Electr. Eng., 2020)

Feature-Based and Adaptive Rule Adaptation in Dynamic Environments. - Alireza Tabebordbar; Amin Beheshti; Boualem Benatallah; Moshe Chai Barukh (Data Sci. Eng., 2020)

Self-adapting cloud services orchestration for fulfilling intensive sensory data-driven IoT workflows. - Mohamed Adel Serhani; Hadeel T. El Kassabi; Khaled Shuaib; Alramzana Nujum Navaz; Boualem Benatallah; Amin Beheshti (Future Gener. Comput. Syst., 2020)

Assessment2Vec: Learning Distributed Representations of Assessments to Reduce Marking Workload. - Shuang Wang 012; Amin Beheshti; Yufei Wang 003; Jianchao Lu; Quan Z. Sheng; Stephen Elbourn; Hamid Alinejad-Rokny; Elizabeth Galanis (AIED (2), 2021)

Cognitive Augmentation in Processes. - Moshe Chai Barukh; Shayan Zamanirad; Marcos Báez; Amin Beheshti; Boualem Benatallah; Fabio Casati; Lina Yao 001; Quan Z. Sheng; Francesco Schiliro (Next-Gen Digital Services, 2021)

Design Methodology for Service-Based Data Product Sharing and Trading. - Jian Yang 001; Yongping Tang; Amin Beheshti (Next-Gen Digital Services, 2021)

FRAUDRE: Fraud Detection Dual-Resistant to Graph Inconsistency and Imbalance. - Ge Zhang 002; Jia Wu 001; Jian Yang 001; Amin Beheshti; Shan Xue 001; Chuan Zhou 001; Quan Z. Sheng (ICDM, 2021)

AI-Enabled Processes: The Age of Artificial Intelligence and Big Data. - Amin Beheshti; Boualem Benatallah; Quan Z. Sheng; Fabio Casati; Hamid Reza Motahari-Nezhad; Jian Yang 001; Aditya Ghose (ICSOC Workshops, 2021)

Towards Scalable Blockchains Using Service-Oriented Architectures. - Ali Dorri; Raja Jurdak; Amin Beheshti; Alistair Barros (ICSOC Workshops, 2021)

Towards an Intelligent Fuzzy-fusion Model for Identity Document Classification. - Nouna Khandan; Amin Beheshti; Helia Farhood; Matineh Pooshideh; Mike Simpson; Nick Gatland (iiWAS, 2021)

Towards Proactive Financial Crime and Fraud Detectionthrough Artificial Intelligence and RegTech Technologies. - Zeinab Rouhollahi; Amin Beheshti; Salman Mousaeirad; Srinivasa Reddy Goluguri (iiWAS, 2021)

Towards Predictive Analytics in Mental Health Care. - Amin Beheshti; Vahid Moraveji Hashemi; Shuang Wang 012 (IJCNN, 2021)

Summary2vec: Learning Semantic Representation of Summaries for Healthcare Analytics. - Samira Ghodratnama; Mehrdad Zakershahrak; Amin Beheshti (IJCNN, 2021)

Intelligent Narrative Summaries: From Indicative to Informative Summarization. - Samira Ghodratnama; Amin Beheshti; Mehrdad Zakershahrak; Fariborz Sobhanmanesh (Big Data Res., 2021)

A survey of empirical performance evaluation of permissioned blockchain platforms: Challenges and opportunities. - Mohammad Dabbagh; Kim-Kwang Raymond Choo; Amin Beheshti; Mohammad Tahir; Nader Sohrabi Safa (Comput. Secur., 2021)

A Query Language for Summarizing and Analyzing Business Process Data. - Amin Beheshti; Boualem Benatallah; Hamid Reza Motahari-Nezhad; Samira Ghodratnama; Farhad Amouzgar (CoRR, 2021)

Relational Learning Analysis of Social Politics using Knowledge Graph Embedding. - Bilal Abu-Salih; Marwan Al-Tawil; Ibrahim Aljarah; Hossam Faris; Pornpit Wongthongtham; Kit Yan Chan; Amin Beheshti (Data Min. Knowl. Discov., 2021)

SCiMet: Stable, sCalable and reliable Metric-based framework for quality assessment in collaborative content generation systems. - Mohammad Allahbakhsh; Haleh Amintoosi; Behshid Behkamal; Amin Beheshti; Elisa Bertino (J. Informetrics, 2021)

Modeling Personality Effect in Trust Prediction. - Seyed Mohssen Ghafari; Amin Beheshti; Aditya Joshi; Cécile Paris; Shahpar Yakhchi; Mehmet A. Orgun; Alireza Jolfaei; Quan Z. Sheng (J. Data Intell., 2021)

Attention-Based Context Boosted Cyberbullying Detection in Social Media. - Nabi Rezvani; Amin Beheshti (J. Data Intell., 2021)

Novel Deep Learning-Enabled LSTM Autoencoder Architecture for Discovering Anomalous Events From Intelligent Transportation Systems. - Javed Ashraf; Asim D. Bakhshi; Nour Moustafa; Hasnat Khurshid; Abdullah Javed; Amin Beheshti (IEEE Trans. Intell. Transp. Syst., 2021)

Multi-Queue Request Scheduling for Profit Maximization in IaaS Clouds. - Shuang Wang 012; Xiaoping Li 001; Quan Z. Sheng; Rubén Ruiz; Jinquan Zhang; Amin Beheshti (IEEE Trans. Parallel Distributed Syst., 2021)

BP-SPARQL: A Query Language for Summarizing and Analyzing Big Process Data. - Amin Beheshti; Boualem Benatallah; Hamid Reza Motahari-Nezhad; Samira Ghodratnama; Farhad Amouzgar (Process Querying Methods, 2022)

A Cricket-Based Selection Hyper-Heuristic for Many-Objective Optimization Problems. - Adeem Ali Anwar; Irfan Younas; Guanfeng Liu 001; Amin Beheshti; Xuyun Zhang (ADMA (2), 2022)

iCreate: Mining Creative Thinking Patterns from Contextualized Educational Data. - Nasrin Shabani; Amin Beheshti; Helia Farhood; Matt Bower; Michael Garrett; Hamid Alinejad-Rokny (AIED (2), 2022)

Evidence Based Pipeline for Explaining Artificial Intelligence Algorithms with Interactions. - Ambreen Hanif; Amin Beheshti; Boualem Benatallah; Xuyun Zhang; Steven Wood (DSAA, 2022)

Domain Knowledge Enhanced Text Mining for Identifying Mental Disorder Patterns. - Maryam Shahabikargar; Amin Beheshti; Amin Khatami; Ricky Nguyen; Xuyun Zhang; Hamid Alinejad-Rokny (DSAA, 2022)

DAGAD: Data Augmentation for Graph Anomaly Detection. - Fanzhen Liu; Xiaoxiao Ma 002; Jia Wu 001; Jian Yang 001; Shan Xue 001; Amin Beheshti; Chuan Zhou 001; Hao Peng 001; Quan Z. Sheng; Charu C. Aggarwal (ICDM, 2022)

Knowledge Base 4.0: Using Crowdsourcing Services for Mimicking the Knowledge of Domain Experts. - Amin Beheshti (ICWS, 2022)

Resolving Learners Misunderstandings Using an Adaptive Divide and Correct Technique. - Alireza Tabebordbar; Amin Beheshti; Nabi Rezvani; Mohsen Asadnia; Stephen Elbourn (MoMM, 2022)

DAWAR: Diversity-aware Web APIs Recommendation for Mashup Creation based on Correlation Graph. - Wenwen Gong; Xuyun Zhang; Yifei Chen; Qiang He 001; Amin Beheshti; Xiaolong Xu 001; Chao Yan; Lianyong Qi (SIGIR, 2022)

ComGA: Community-Aware Attributed Graph Anomaly Detection. - Xuexiong Luo; Jia Wu 001; Amin Beheshti; Jian Yang 001; Xiankun Zhang; Yuan Wang; Shan Xue 001 (WSDM, 2022)

Automatic Diagnosis of Myocarditis Disease in Cardiac MRI Modality using Deep Transformers and Explainable Artificial Intelligence. - Mahboobeh Jafari; Afshin Shoeibi; Navid Ghassemi; Jónathan Heras; Abbas Khosravi; Sai Ho Ling; Roohallah Alizadehsani; Amin Beheshti; Yu-Dong Zhang 001; Shui-Hua Wang; Juan Manuel Górriz; U. Rajendra Acharya; et al. (CoRR, 2022)

A priority queue-based telemonitoring system for automatic diagnosis of heart diseases in integrated fog computing environments. - Ali Golkar; Razieh Malekhosseini; Keyvan RahimiZadeh; Azita Yazdani; Amin Beheshti (Health Informatics J., 2022)

Should AI-enabled medical devices be explainable? - Rita Matulionyte; Paul Nolan; Farah Magrabi; Amin Beheshti (Int. J. Law Inf. Technol., 2022)

A Convolutional Attention Network for Unifying General and Sequential Recommenders. - Shahpar Yakhchi; Amin Beheshti; Seyed Mohssen Ghafari; Imran Razzak; Mehmet A. Orgun; Mehdi Elahi (Inf. Process. Manag., 2022)

HAM-Net: Predictive Business Process Monitoring with a hierarchical attention mechanism. - Abdulrahman Jalayer; Mohsen Kahani; Asef Pourmasoumi; Amin Beheshti (Knowl. Based Syst., 2022)

Deep reinforcement learning guided graph neural networks for brain network analysis. - Xusheng Zhao; Jia Wu 001; Hao Peng 001; Amin Beheshti; Jessica J. M. Monaghan; David McAlpine; Heivet Hernandez-Perez; Mark Dras; Qiong Dai; Yangyang Li; Philip S. Yu; Lifang He 001 (Neural Networks, 2022)

Performance Analysis and Optimization on Scheduling Stochastic Cloud Service Requests: A Survey. - Shuang Wang 012; Xiaoping Li 001; Quan Z. Sheng; Amin Beheshti (IEEE Trans. Netw. Serv. Manag., 2022)

Integrative analysis of mutated genes and mutational processes reveals novel mutational biomarkers in colorectal cancer. - Hamed Dashti; Iman Dehzangi; Masroor Bayati; James Breen; Amin Beheshti; Nigel H. Lovell; Hamid R. Rabiee; Hamid Alinejad-Rokny (BMC Bioinform., 2022)

A Contextualized Transformer-Based Method for Cyberbullying Detection. - Nabi Rezvani; Amin Beheshti; Xuyun Zhang (DSAA, 2023)

Multi-Granularity Entity Recognition based Sentence Ranking for Multi-Document Summarization. - Guowei Zhang; Xuyun Zhang; Zhiyong Wang; Amin Beheshti (DSAA, 2023)

Deep Optimal Isolation Forest with Genetic Algorithm for Anomaly Detection. - Haolong Xiang; Xuyun Zhang; Mark Dras; Amin Beheshti; Wanchun Dou; Xiaolong Xu 001 (ICDM, 2023)

Federated Anomaly Detection with Isolation Forest for IoT Network Traffics. - Junyan Li; Xuyun Zhang; Haolong Xiang; Amin Beheshti (ICPADS, 2023)

Surface Area Estimation Using 3D Point Clouds and Delaunay Triangulation. - Helia Farhood; Samuel Müller 001; Amin Beheshti (ICR, 2023)

Empowering Generative AI with Knowledge Base 4.0: Towards Linking Analytical, Cognitive, and Generative Intelligence. - Amin Beheshti (ICWS, 2023)

ProcessGPT: Transforming Business Process Management with Generative Artificial Intelligence. - Amin Beheshti; Jian Yang 001; Quan Z. Sheng; Boualem Benatallah; Fabio Casati; Schahram Dustdar; Hamid Reza Motahari-Nezhad; Xuyun Zhang; Shan Xue 001 (ICWS, 2023)

A Personalized Reinforcement Learning Summarization Service for Learning Structure from Unstructured Data. - Samira Ghodratnama; Amin Beheshti; Mehrdad Zakershahrak (ICWS, 2023)

OptIForest: Optimal Isolation Forest for Anomaly Detection. - Haolong Xiang; Xuyun Zhang; Hongsheng Hu; Lianyong Qi; Wanchun Dou; Mark Dras; Amin Beheshti; Xiaolong Xu 001 (IJCAI, 2023)

A Comprehensive Survey of Explainable Artificial Intelligence (XAI) Methods: Exploring Transparency and Interpretability. - Ambreen Hanif; Amin Beheshti; Boualem Benatallah; Xuyun Zhang; Habiba; EuJin Foo; Nasrin Shabani; Maryam Shahabikargar (WISE, 2023)

Noise-Augmented Contrastive Learning for Sequential Recommendation. - Kun He; Shunmei Meng; Qianmu Li; Xiao Liu 043; Amin Beheshti; Xiaoxiao Chi; Xuyun Zhang (WISE, 2023)

Measuring Potential Performance Gains of Python Web Applications with pyUpgradeSim. - Anthony Shaw; Amin Beheshti (WWW (Companion Volume), 2023)

A Survey on Graph Neural Networks for Graph Summarization. - Nasrin Shabani; Jia Wu 001; Amin Beheshti; Jin Foo; Ambreen Hanif; Maryam Shahabikargar (CoRR, 2023)

DeepCog: A Trustworthy Deep Learning-Based Human Cognitive Privacy Framework in Industrial Policing. - Francesco Schiliro; Nour Moustafa; Imran Razzak; Amin Beheshti (IEEE Trans. Intell. Transp. Syst., 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)

A Cognitive Model for Technology Adoption. - Fariborz Sobhanmanesh; Amin Beheshti; Nicholas Nouri; Natalia Monje Chapparo; Sandya Raj; Richard A. George (Algorithms, 2023)

Learning Distributed Representations and Deep Embedded Clustering of Texts. - Shuang Wang 012; Amin Beheshti; Yufei Wang 003; Jianchao Lu; Quan Z. Sheng; Stephen Elbourn; Hamid Alinejad-Rokny (Algorithms, 2023)

3D shallow deep neural network for fast and precise segmentation of left atrium. - Asma Kausar; Imran Razzak; Mohd Ibrahim Shapiai; Amin Beheshti (Multim. Syst., 2023)

Crime Prediction With Missing Data Via Spatiotemporal Regularized Tensor Decomposition. - Weichao Liang; Jie Cao 001; Lei Chen 079; Youquan Wang; Jia Wu 001; Amin Beheshti; Jiangnan Tang (IEEE Trans. Big Data, 2023)

Mixed Graph Neural Network-Based Fake News Detection for Sustainable Vehicular Social Networks. - Zhiwei Guo; Keping Yu; Alireza Jolfaei; Gang Li 009; Feng Ding 007; Amin Beheshti (IEEE Trans. Intell. Transp. Syst., 2023)

Natural Language-Oriented Programming (NLOP): Towards Democratizing Software Creation. - Amin Beheshti (SSE, 2024)

FedLPS: Heterogeneous Federated Learning for Multiple Tasks with Local Parameter Sharing. - Yongzhe Jia; Xuyun Zhang; Amin Beheshti; Wanchun Dou (AAAI, 2024)

StyleDubber: Towards Multi-Scale Style Learning for Movie Dubbing. - Gaoxiang Cong 001; Yuankai Qi; Liang Li 003; Amin Beheshti; Zhedong Zhang; Anton van den Hengel; Ming-Hsuan Yang 001; Chenggang Yan 001; Qingming Huang (ACL (Findings), 2024)

BiF-AC: A Bidirectional Feedback Actor-Critic Framework for UAV-UGV Graph-Based Search and Rescue Operations. - Xin Cao; He Luo; Guoqiang Wang; Shan Xue 001; Jian Yang 001; Jia Wu 001; Amin Beheshti (ADMA (3), 2024)

GraphSUM: Scalable Graph Summarization for Efficient Question Answering. - Nasrin Shabani; Amin Beheshti; Jia Wu 001; Maryam Khanian Najafabadi; Jin Foo; Alireza Jolfaei (EDBT, 2024)

Counterfactual Brain Graph Augmentation Guided Bi-Level Contrastive Learning for Disorder Analysis. - Guangwei Dong; Xuexiong Luo; Jing Du 003; Jia Wu 001; Shan Xue 001; Jian Yang 001; Amin Beheshti (ICDM, 2024)

MedSiML: A Multilingual Approach for Simplifying Medical Texts. - Hardik A. Jain; Chirayu Patel; Riyasatali Umatiya; Sajib Mistry; Aneesh Krishna; Amin Beheshti (ICONIP (11), 2024)

A Hybrid Contextual Deep Learning Model to Predict Renewable Energy Generation. - Deepak Kanneganti; Sajib Mistry; Sumedha Rajakaruna; Aneesh Krishna; Amin Beheshti (ICONIP (11), 2024)

Ecosystem-Based Data Products and DaaS: Complexity Analysis and Design Considerations. - Vincent Chen; Perry Chen; Amin Beheshti (ICWS, 2024)

DISS-CF: Direct Item Session Similarity Enhanced Collaborative Filtering Method for Recommendation. - Cheng Chen; Xiaoxiao Chi; Amin Beheshti; Jinjun Chen; Wanchun Dou (ICWS, 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)

Shadow-Free Membership Inference Attacks: Recommender Systems Are More Vulnerable Than You Thought. - Xiaoxiao Chi; Xuyun Zhang; Yan Wang 002; Lianyong Qi; Amin Beheshti; Xiaolong Xu 001; Kim-Kwang Raymond Choo; Shuo Wang 026; Hongsheng Hu (IJCAI, 2024)

Graph Neural Networks for Brain Graph Learning: A Survey. - Xuexiong Luo; Jia Wu 001; Jian Yang 001; Shan Xue 001; Amin Beheshti; Quan Z. Sheng; David McAlpine; Paul F. Sowman; Alexis Giral; Philip S. Yu (IJCAI, 2024)

Early Diagnosis of Schizophrenia in EEG Signals Using One Dimensional Transformer Model. - Afshin Shoeibi; Mahboobeh Jafari; Delaram Sadeghi; Roohallah Alizadehsani; Hamid Alinejad-Rokny; Amin Beheshti; Juan Manuel Górriz (IWINAC, 2024)

Diagnosis of Schizophrenia in EEG Signals Using dDTF Effective Connectivity and New PreTrained CNN and Transformer Models. - Afshin Shoeibi; Marjane Khodatars; Hamid Alinejad-Rokny; Jónathan Heras; Sara Bagherzadeh; Amin Beheshti; Juan Manuel Górriz (IWINAC, 2024)

Distributionally-Adaptive Variational Meta Learning for Brain Graph Classification. - Jing Du 003; Guangwei Dong; Congbo Ma; Shan Xue 001; Jia Wu 001; Jian Yang 001; Amin Beheshti; Quan Z. Sheng; Alexis Giral (MICCAI (10), 2024)

Cluster-driven Personalized Federated Recommendation with Interest-aware Graph Convolution Network for Multimedia. - Xingyuan Mao; Yuwen Liu; Lianyong Qi; Li Duan; Xiaolong Xu 001; Xuyun Zhang; Wanchun Dou; Amin Beheshti; Xiaokang Zhou (ACM Multimedia, 2024)

DapperFL: Domain Adaptive Federated Learning with Model Fusion Pruning for Edge Devices. - Yongzhe Jia; Xuyun Zhang; Hongsheng Hu; Kim-Kwang Raymond Choo; Lianyong Qi; Xiaolong Xu 001; Amin Beheshti; Wanchun Dou (NeurIPS, 2024)

Robust Graph Learning Against Camouflaged Malicious Actors. - Venus Haghighi; Nasrin Shabani; Behnaz Soltani; Lina Yao 001; Quan Z. Sheng; Jian Yang 001; Amin Beheshti (WISE (2), 2024)

Semantic Similarity-Based Graph Contrastive Learning for Recommender System. - Longchuan Tu; Shunmei Meng; Xiao Liu 043; Guanfeng Liu 001; Amin Beheshti; Xuyun Zhang (WISE (3), 2024)

EvidenceQuest: An Interactive Evidence Discovery System for Explainable Artificial Intelligence. - Ambreen Hanif; Amin Beheshti; Xuyun Zhang; Steven Wood; Boualem Benatallah; EuJin Foo (WSDM, 2024)

An Interpretable Brain Graph Contrastive Learning Framework for Brain Disorder Analysis. - Xuexiong Luo; Guangwei Dong; Jia Wu 001; Amin Beheshti; Jian Yang 001; Shan Xue 001 (WSDM, 2024)

Deep learning in spatially resolved transcriptomics: a comprehensive technical view. - Roxana Zahedi; Reza Ghamsari; Ahmadreza Argha; Callum Macphillamy; Amin Beheshti; Roohallah Alizadehsani; Nigel H. Lovell; Mohammad Lotfollahi; Hamid Alinejad-Rokny (Briefings Bioinform., 2024)

Advancing student outcome predictions through generative adversarial networks. - Helia Farhood; Ibrahim Nabeel Joudah; Amin Beheshti; Samuel Müller 001 (Comput. Educ. Artif. Intell., 2024)

When Eye-Tracking Meets Machine Learning: A Systematic Review on Applications in Medical Image Analysis. - Sahar Moradizeyveh; Mehnaz Tabassum; Sidong Liu; Robert Ahadizad Newport; Amin Beheshti; Antonio Di Ieva (CoRR, 2024)

PersoBench: Benchmarking Personalized Response Generation in Large Language Models. - Saleh Afzoon; Usman Naseem; Amin Beheshti; Zahra Jamali (CoRR, 2024)

Adapter-Enhanced Semantic Prompting for Continual Learning. - Baocai Yin; Ji Zhao 021; Huajie Jiang; Ningning Hou; Yongli Hu; Amin Beheshti; Ming-Hsuan Yang 001; Yuankai Qi (CoRR, 2024)

Evaluating and Enhancing Artificial Intelligence Models for Predicting Student Learning Outcomes. - Helia Farhood; Ibrahim Nabeel Joudah; Amin Beheshti; Samuel Müller 001 (Informatics, 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)

An intelligent system for multi-topic social spam detection in microblogging. - Bilal Abu-Salih; Dana Al Qudah; Malak Al-Hassan; Seyed Mohssen Ghafari; Tomayess Issa; Ibrahim Aljarah; Amin Beheshti; Sulaiman Alqahtani (J. Inf. Sci., 2024)

Style-aware two-stage learning framework for video captioning. - Yunchuan Ma; Zheng Zhu; Yuankai Qi; Amin Beheshti; Ying Li; Laiyun Qing; Guorong Li (Knowl. Based Syst., 2024)

Empowering precision medicine: AI-driven schizophrenia diagnosis via EEG signals: A comprehensive review from 2002-2023. - Mahboobeh Jafari; Delaram Sadeghi; Afshin Shoeibi; Hamid Alinejad-Rokny; Amin Beheshti; David López-García; Zhaolin Chen; U. Rajendra Acharya; Juan Manuel Górriz (Appl. Intell., 2024)

An Intelligence Cattle Reidentification System Over Transport by Siamese Neural Networks and YOLO. - Ivan Bakhshayeshi; Eila Erfani; Firouzeh Rosa Taghikhah; Stephen Elbourn; Amin Beheshti; Mohsen Asadnia (IEEE Internet Things J., 2024)

Partial reinforcement optimizer: An evolutionary optimization algorithm. - Ahmad Taheri; Keyvan RahimiZadeh; Amin Beheshti; Jan Baumbach; Ravipudi Venkata Rao; Seyedali Mirjalili; Amir H. Gandomi (Expert Syst. Appl., 2024)

A Survey on Deep Learning Event Extraction: Approaches and Applications. - Qian Li 033; Jianxin Li 002; Jiawei Sheng; Shiyao Cui; Jia Wu 001; Yiming Hei; Hao Peng 001; Shu Guo; Lihong Wang; Amin Beheshti; Philip S. Yu (IEEE Trans. Neural Networks Learn. Syst., 2024)

Explainable AI Frameworks: Navigating the Present Challenges and Unveiling Innovative Applications. - Neeraj Anand Sharma; Rishal Ravikesh Chand; Zain Buksh; A. B. M. Shawkat Ali; Ambreen Hanif; Amin Beheshti (Algorithms, 2024)

A Comprehensive Survey on Graph Summarization With Graph Neural Networks. - Nasrin Shabani; Jia Wu 001; Amin Beheshti; Quan Z. Sheng; Jin Foo; Venus Haghighi; Ambreen Hanif; Maryam Shahabikargar (IEEE Trans. Artif. Intell., 2024)

Attention-Based Graph Summarization for Large-Scale Information Retrieval. - Nasrin Shabani; Amin Beheshti; Alireza Jolfaei; Jia Wu 001; Venus Haghighi; Maryam Khanian Najafabadi; Jin Foo (IEEE Trans. Consumer Electron., 2024)

Guest Editorial: Special Issue on Generating Human Readable Explanations in NLP. - Imran Razzak; Mohamed Reda Bouadjenek; Muhammad Aamir Cheema; Ibrahim A. Hameed; Guandong Xu; Amin Beheshti (IEEE Trans. Comput. Soc. Syst., 2024)

An efficient texture descriptor based on local patterns and particle swarm optimization algorithm for face recognition. - Sadegh Fadaei; Abbas Dehghani 002; Keyvan RahimiZadeh; Amin Beheshti (J. Supercomput., 2024)

DivGCL: A Graph Contrastive Learning Model for Diverse Recommendation. - Wenwen Gong; Yangliao Geng; Dan Zhang; Yifan Zhu 001; Xiaolong Xu 001; Haolong Xiang; Amin Beheshti; Xuyun Zhang; Lianyong Qi (AAAI, 2025)

Incomplete Multi-View Multi-Label Classification via Diffusion-Guided Redundancy Removal. - Shilong Ou; Zhe Xue; Lixiong Qin; Yawen Li 001; Meiyu Liang; Junjiang Wu; Xuyun Zhang; Amin Beheshti; Yuankai Qi (AAAI, 2025)

Enhancing Diffusion Model with Auxiliary Information Mining-Exploration and Efficient Sampling Mechanism for Sequential Recommendation. - Te Song; Lianyong Qi; Weiming Liu 005; Fan Wang 020; Xiaolong Xu 001; Xuyun Zhang; Amin Beheshti; Xiaokang Zhou; Wanchun Dou (AAAI, 2025)

VITAL: A New Dataset for Benchmarking Pluralistic Alignment in Healthcare. - Anudeex Shetty; Amin Beheshti; Mark Dras; Usman Naseem (ACL (1), 2025)

Impact of Business Process Masking on Organizations' Policies. - Zakaria Maamar; Amel Benna; Hirad Baradaran Rezaei; Amin Beheshti; Fethi Rabhi (ENASE, 2025)

Hierarchical Prompt-Guided Alignment for Multi-view Clustering. - Shifeng Bao; Zhe Xue; Shilong Ou; Amin Beheshti; Yuankai Qi (ICIC (12), 2025)

FedDPG: An Adaptive Yet Efficient Prompt-Tuning Approach in Federated Learning Settings. - Ali Shakeri 003; Wei Emma Zhang; Amin Beheshti; Weitong Chen 001; Jian Yang 001; Lishan Yang (PAKDD (5), 2025)

Design of a Personalised AI Coaching Assistant for Occupational Health and Safety. - Jonathan Vitale; Shlomo Berkovsky; Shun Takeuchi; Amin Beheshti; Kexuan Xin; Junya Saito; Sosuke Yamao (PERSUASIVE, 2025)

A Competitive-Cooperative Approach to Dynamic Pricing for Two-Sided Hospitality Platforms. - Hadi Mohammadzadeh Abachi; Majid Namazi; Milad Mosharraf; Pooyan Asgari; Amin Beheshti (WWW (Companion Volume), 2025)

Hyperbolic Variational Graph Auto-Encoder for Next POI Recommendation. - Yuwen Liu; Lianyong Qi; Xingyuan Mao; Weiming Liu 005; Fan Wang 020; Xiaolong Xu 001; Xuyun Zhang; Wanchun Dou; Xiaokang Zhou; Amin Beheshti (WWW, 2025)

A Multiagent-based Framework on RoboCup Simulation System for Enhancing Rescue Operation during Dynamic Disaster Environments. - Qihua Lyu; Xin Cao; Yongsheng Yu 001; Shan Xue 001; Jian Yang 001; Jia Wu 001; Amin Beheshti (WWW (Companion Volume), 2025)

LLMs as Historical Actors: How AI Systems Influence the Web's Evolution. - Usman Naseem; Junaid Rashid; Junguen Kim; Amin Beheshti; Jian Yang 001; Mark Dras (WWW (Companion Volume), 2025)

PipeMind: Toward a Multi-Agent Framework for Real-Time Feedback and Continuous Optimization in Analytics Pipelines. - Hirad Baradaran Rezaei; Fethi Rabhi; Amin Beheshti (WWW (Companion Volume), 2025)

Trffc: Efficient Traffic Forecasting through Adaptive Spatio-Temporal Graph Reduction. - Nasrin Shabani; Amin Beheshti; Yuankai Qi; Venus Haghighi; Sahar Moradizeyveh; Quan Z. Sheng (WWW (Companion Volume), 2025)

HEAL: Healthcare Emergency Assistants Leveraging Large Language Models. - Zihan Zhu; Qiongkai Xu; Amin Beheshti (WWW (Companion Volume), 2025)

A new texture descriptor based on hexagonal local binary pattern for content-based image retrieval. - Sadegh Fadaei; Mehdi Azadimotlagh; Armin Rashno; Amin Beheshti (Digit. Signal Process., 2025)

An innovative data-driven AI approach for detecting and isolating faults in gas turbines at power plants. - Mohammad Hussein Amiri; Nastaran Mehrabi Hashjin; Maryam Khanian Najafabadi; Amin Beheshti; Nima Khodadadi (Expert Syst. Appl., 2025)

Editorial: Business transformation through AI-enabled technologies. - Fethi Rabhi; Amin Beheshti; Asif Gill (Frontiers Artif. Intell., 2025)

From theory to practice: The evolution and comparative analysis of homogeneous vs. heterogeneous Graph Neural Networks in recommender systems. - Maryam Khanian Najafabadi; Rei-An Chen; Javad Rezazadeh; Amin Beheshti; Nasrin Shabani (Neurocomputing, 2025)

Q2HO-MFTV: A binary hippopotamus optimization algorithm for feature selection with a brief review of binary optimization. - Nastaran Mehrabi Hashjin; Mohammad Hussein Amiri; Amin Beheshti; Maryam Khanian Najafabadi (Knowl. Based Syst., 2025)

FTA-FTL: A Fine-Tuned Aggregation Federated Transfer Learning Scheme for Lithology Microscopic Image Classification. - Keyvan RahimiZadeh; Ahmad Taheri; Jan Baumbach; Esmael Makarian; Abbas Dehghani 002; Bahman Ravaei; Bahman Javadi; Amin Beheshti (CoRR, 2025)

Presentation Attack Detection: A Systematic Literature Review. - Matineh Pooshideh; Amin Beheshti; Yuankai Qi; Helia Farhood; Mike Simpson; Nick Gatland; Mehdi Soltany (ACM Comput. Surv., 2025)

VaxGuard: A Multi-Generator, Multi-Type, and Multi-Role Dataset for Detecting LLM-Generated Vaccine Misinformation. - Syed Talal Ahmad; Haohui Lu; Sidong Liu; Annie Lau; Amin Beheshti; Mark Dras; Usman Naseem (CoRR, 2025)

The Devil is in the Distributions: Explicit Modeling of Scene Content is Key in Zero-Shot Video Captioning. - Mingkai Tian; Guorong Li; Yuankai Qi; Amin Beheshti; Javen Qinfeng Shi; Anton van den Hengel; Qingming Huang (CoRR, 2025)

ProgRoCC: A Progressive Approach to Rough Crowd Counting. - Shengqin Jiang; Linfei Li; Haokui Zhang; Qingshan Liu 001; Amin Beheshti; Jian Yang 001; Anton van den Hengel; Quan Z. Sheng; Yuankai Qi (CoRR, 2025)

SDVPT: Semantic-Driven Visual Prompt Tuning for Open-World Object Counting. - Yiming Zhao; Guorong Li; Laiyun Qing; Amin Beheshti; Jian Yang 001; Michael Sheng 001; Yuankai Qi; Qingming Huang (CoRR, 2025)

HEART: Historically Information Embedding and Subspace Re-Weighting Transformer-Based Tracking. - Tianpeng Liu; Jing Li 055; Amin Beheshti; Jia Wu 001; Jun Chang; Beihang Song; Lezhi Lian (IEEE Trans. Big Data, 2025)

Multiknowledge and LLM-Inspired Heterogeneous Graph Neural Network for Fake News Detection. - Bingbing Xie; Xiaoxiao Ma 002; Shan Xue 001; Amin Beheshti; Jian Yang 001; Hao Fan 003; Jia Wu 001 (IEEE Trans. Comput. Soc. Syst., 2025)

FlowDubber: Movie Dubbing with LLM-based Semantic-aware Learning and Flow Matching based Voice Enhancing. - Gaoxiang Cong 001; Liang Li 003; Jiadong Pan; Zhedong Zhang; Amin Beheshti; Anton van den Hengel; Yuankai Qi; Qingming Huang (CoRR, 2025)

Modeling and Optimizing User Preferences in AI Copilots: A Comprehensive Survey and Taxonomy. - Saleh Afzoon; Zahra Jahanandish; Phuong Thao Huynh; Amin Beheshti; Usman Naseem (CoRR, 2025)

Ratas framework: A comprehensive genai-based approach to rubric-based marking of real-world textual exams. - Masoud Safilian; Amin Beheshti; Stephen Elbourn (CoRR, 2025)

Tracking the Unstable: Appearance-Guided Motion Modeling for Robust Multi-Object Tracking in UAV-Captured Videos. - Jianbo Ma 001; Hui Luo 002; Qi Chen 014; Yuankai Qi; Yumei Sun; Amin Beheshti; Jianlin Zhang 001; Ming-Hsuan Yang 001 (CoRR, 2025)

ExBigBang: A Dynamic Approach for Explainable Persona Classification through Contextualized Hybrid Transformer Analysis. - Saleh Afzoon; Amin Beheshti; Nabi Rezvani; Farshad Khunjush; Usman Naseem; John McMahon; Zahra Fathollahi; Mahdieh Labani; Wathiq Mansoor; Xuyun Zhang (CoRR, 2025)

RETTA: Retrieval-enhanced test-time adaptation for zero-shot video captioning. - Yunchuan Ma; Laiyun Qing; Guorong Li; Yuankai Qi; Amin Beheshti; Quan Z. Sheng; Qingming Huang (Pattern Recognit., 2026)