Amin Beheshti

According to our database, Amin Beheshti authored at least 195 papers between 2007 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

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

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, August, 2025

Tracking the Unstable: Appearance-Guided Motion Modeling for Robust Multi-Object Tracking in UAV-Captured Videos.

Jianbo Ma, Hui Luo, Qi Chen, Yuankai Qi, Yumei Sun, Amin Beheshti, Jianlin Zhang, Ming-Hsuan Yang

CoRR, August, 2025

Ratas framework: A comprehensive genai-based approach to rubric-based marking of real-world textual exams.

Masoud Safilian, Amin Beheshti, Stephen Elbourn

CoRR, May, 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, May, 2025

FlowDubber: Movie Dubbing with LLM-based Semantic-aware Learning and Flow Matching based Voice Enhancing.

Gaoxiang Cong, Liang Li, Jiadong Pan, Zhedong Zhang, Amin Beheshti, Anton van den Hengel, Yuankai Qi, Qingming Huang

CoRR, May, 2025

Multiknowledge and LLM-Inspired Heterogeneous Graph Neural Network for Fake News Detection.

Bingbing Xie, Xiaoxiao Ma, Shan Xue, Amin Beheshti, Jian Yang, Hao Fan, Jia Wu

IEEE Trans. Comput. Soc. Syst., April, 2025

HEART: Historically Information Embedding and Subspace Re-Weighting Transformer-Based Tracking.

Tianpeng Liu, Jing Li, Amin Beheshti, Jia Wu, Jun Chang, Beihang Song, Lezhi Lian

IEEE Trans. Big Data, April, 2025

SDVPT: Semantic-Driven Visual Prompt Tuning for Open-World Object Counting.

Yiming Zhao, Guorong Li, Laiyun Qing, Amin Beheshti, Jian Yang, Michael Sheng, Yuankai Qi, Qingming Huang

CoRR, April, 2025

ProgRoCC: A Progressive Approach to Rough Crowd Counting.

Shengqin Jiang, Linfei Li, Haokui Zhang, Qingshan Liu, Amin Beheshti, Jian Yang, Anton van den Hengel, Quan Z. Sheng, Yuankai Qi

CoRR, April, 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, March, 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, March, 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., January, 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, Bahman Ravaei, Bahman Javadi, Amin Beheshti

CoRR, January, 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

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

Editorial: Business transformation through AI-enabled technologies.

Fethi Rabhi, Amin Beheshti, Asif Gill

Frontiers Artif. Intell., 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

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

HEAL: Healthcare Emergency Assistants Leveraging Large Language Models.

Zihan Zhu, Qiongkai Xu, Amin Beheshti

Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

Trffc: Efficient Traffic Forecasting through Adaptive Spatio-Temporal Graph Reduction.

Nasrin Shabani, Amin Beheshti, Yuankai Qi, Venus Haghighi, Sahar Moradizeyveh, Quan Z. Sheng

Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

PipeMind: Toward a Multi-Agent Framework for Real-Time Feedback and Continuous Optimization in Analytics Pipelines.

Hirad Baradaran Rezaei, Fethi Rabhi, Amin Beheshti

Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

LLMs as Historical Actors: How AI Systems Influence the Web's Evolution.

Usman Naseem, Junaid Rashid, Junguen Kim, Amin Beheshti, Jian Yang, Mark Dras

Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

A Multiagent-based Framework on RoboCup Simulation System for Enhancing Rescue Operation during Dynamic Disaster Environments.

Qihua Lyu, Xin Cao, Yongsheng Yu, Shan Xue, Jian Yang, Jia Wu, Amin Beheshti

Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

Hyperbolic Variational Graph Auto-Encoder for Next POI Recommendation.

Yuwen Liu, Lianyong Qi, Xingyuan Mao, Weiming Liu, Fan Wang, Xiaolong Xu, Xuyun Zhang, Wanchun Dou, Xiaokang Zhou, Amin Beheshti

Proceedings of the ACM on Web Conference 2025, 2025

A Competitive-Cooperative Approach to Dynamic Pricing for Two-Sided Hospitality Platforms.

Hadi Mohammadzadeh Abachi, Majid Namazi, Milad Mosharraf, Pooyan Asgari, Amin Beheshti

Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 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

Proceedings of the Persuasive Technology - 20th International Conference, 2025

FedDPG: An Adaptive Yet Efficient Prompt-Tuning Approach in Federated Learning Settings.

Ali Shakeri, Wei Emma Zhang, Amin Beheshti, Weitong Chen, Jian Yang, Lishan Yang

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2025

Hierarchical Prompt-Guided Alignment for Multi-view Clustering.

Shifeng Bao, Zhe Xue, Shilong Ou, Amin Beheshti, Yuankai Qi

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2025

Impact of Business Process Masking on Organizations' Policies.

Zakaria Maamar, Amel Benna, Hirad Baradaran Rezaei, Amin Beheshti, Fethi Rabhi

Proceedings of the 20th International Conference on Evaluation of Novel Approaches to Software Engineering, 2025

VITAL: A New Dataset for Benchmarking Pluralistic Alignment in Healthcare.

Anudeex Shetty, Amin Beheshti, Mark Dras, Usman Naseem

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Enhancing Diffusion Model with Auxiliary Information Mining-Exploration and Efficient Sampling Mechanism for Sequential Recommendation.

Te Song, Lianyong Qi, Weiming Liu, Fan Wang, Xiaolong Xu, Xuyun Zhang, Amin Beheshti, Xiaokang Zhou, Wanchun Dou

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

Incomplete Multi-View Multi-Label Classification via Diffusion-Guided Redundancy Removal.

Shilong Ou, Zhe Xue, Lixiong Qin, Yawen Li, Meiyu Liang, Junjiang Wu, Xuyun Zhang, Amin Beheshti, Yuankai Qi

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

DivGCL: A Graph Contrastive Learning Model for Diverse Recommendation.

Wenwen Gong, Yangliao Geng, Dan Zhang, Yifan Zhu, Xiaolong Xu, Haolong Xiang, Amin Beheshti, Xuyun Zhang, Lianyong Qi

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

An efficient texture descriptor based on local patterns and particle swarm optimization algorithm for face recognition.

Sadegh Fadaei, Abbas Dehghani, Keyvan RahimiZadeh, Amin Beheshti

J. Supercomput., November, 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., August, 2024

Attention-Based Graph Summarization for Large-Scale Information Retrieval.

Nasrin Shabani, Amin Beheshti, Alireza Jolfaei, Jia Wu, Venus Haghighi, Maryam Khanian Najafabadi, Jin Foo

IEEE Trans. Consumer Electron., August, 2024

A Comprehensive Survey on Graph Summarization With Graph Neural Networks.

Nasrin Shabani, Jia Wu, Amin Beheshti, Quan Z. Sheng, Jin Foo, Venus Haghighi, Ambreen Hanif, Maryam Shahabikargar

IEEE Trans. Artif. Intell., August, 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, June, 2024

A Survey on Deep Learning Event Extraction: Approaches and Applications.

Qian Li, Jianxin Li, Jiawei Sheng, Shiyao Cui, Jia Wu, Yiming Hei, Hao Peng, Shu Guo, Lihong Wang, Amin Beheshti, Philip S. Yu

IEEE Trans. Neural Networks Learn. Syst., May, 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., March, 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., January, 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., January, 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

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

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

Evaluating and Enhancing Artificial Intelligence Models for Predicting Student Learning Outcomes.

Helia Farhood, Ibrahim Nabeel Joudah, Amin Beheshti, Samuel Müller

Informatics, 2024

Adapter-Enhanced Semantic Prompting for Continual Learning.

Baocai Yin, Ji Zhao, Huajie Jiang, Ningning Hou, Yongli Hu, Amin Beheshti, Ming-Hsuan Yang, Yuankai Qi

CoRR, 2024

PersoBench: Benchmarking Personalized Response Generation in Large Language Models.

Saleh Afzoon, Usman Naseem, Amin Beheshti, Zahra Jamali

CoRR, 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

Advancing student outcome predictions through generative adversarial networks.

Helia Farhood, Ibrahim Nabeel Joudah, Amin Beheshti, Samuel Müller

Comput. Educ. Artif. Intell., 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

An Interpretable Brain Graph Contrastive Learning Framework for Brain Disorder Analysis.

Xuexiong Luo, Guangwei Dong, Jia Wu, Amin Beheshti, Jian Yang, Shan Xue

Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

EvidenceQuest: An Interactive Evidence Discovery System for Explainable Artificial Intelligence.

Ambreen Hanif, Amin Beheshti, Xuyun Zhang, Steven Wood, Boualem Benatallah, EuJin Foo

Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

Semantic Similarity-Based Graph Contrastive Learning for Recommender System.

Longchuan Tu, Shunmei Meng, Xiao Liu, Guanfeng Liu, Amin Beheshti, Xuyun Zhang

Proceedings of the Web Information Systems Engineering - WISE 2024, 2024

Robust Graph Learning Against Camouflaged Malicious Actors.

Venus Haghighi, Nasrin Shabani, Behnaz Soltani, Lina Yao, Quan Z. Sheng, Jian Yang, Amin Beheshti

Proceedings of the Web Information Systems Engineering - WISE 2024, 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, Amin Beheshti, Wanchun Dou

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Cluster-driven Personalized Federated Recommendation with Interest-aware Graph Convolution Network for Multimedia.

Xingyuan Mao, Yuwen Liu, Lianyong Qi, Li Duan, Xiaolong Xu, Xuyun Zhang, Wanchun Dou, Amin Beheshti, Xiaokang Zhou

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Distributionally-Adaptive Variational Meta Learning for Brain Graph Classification.

Jing Du, Guangwei Dong, Congbo Ma, Shan Xue, Jia Wu, Jian Yang, Amin Beheshti, Quan Z. Sheng, Alexis Giral

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 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

Proceedings of the Artificial Intelligence for Neuroscience and Emotional Systems, 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

Proceedings of the Artificial Intelligence for Neuroscience and Emotional Systems, 2024

Graph Neural Networks for Brain Graph Learning: A Survey.

Xuexiong Luo, Jia Wu, Jian Yang, Shan Xue, Amin Beheshti, Quan Z. Sheng, David McAlpine, Paul F. Sowman, Alexis Giral, Philip S. Yu

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Shadow-Free Membership Inference Attacks: Recommender Systems Are More Vulnerable Than You Thought.

Xiaoxiao Chi, Xuyun Zhang, Yan Wang, Lianyong Qi, Amin Beheshti, Xiaolong Xu, Kim-Kwang Raymond Choo, Shuo Wang, Hongsheng Hu

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

The Open Story Model (OSM): Transforming Big Data into Interactive Narratives.

Fariba Lotfi, Amin Beheshti, Mansour Jamzad, Hamid Beigy, Jia Wu, Philip S. Yu

Proceedings of the IEEE International Conference on Web Services, 2024

DISS-CF: Direct Item Session Similarity Enhanced Collaborative Filtering Method for Recommendation.

Cheng Chen, Xiaoxiao Chi, Amin Beheshti, Jinjun Chen, Wanchun Dou

Proceedings of the IEEE International Conference on Web Services, 2024

Ecosystem-Based Data Products and DaaS: Complexity Analysis and Design Considerations.

Vincent Chen, Perry Chen, Amin Beheshti

Proceedings of the IEEE International Conference on Web Services, 2024

A Hybrid Contextual Deep Learning Model to Predict Renewable Energy Generation.

Deepak Kanneganti, Sajib Mistry, Sumedha Rajakaruna, Aneesh Krishna, Amin Beheshti

Proceedings of the Neural Information Processing - 31st International Conference, 2024

MedSiML: A Multilingual Approach for Simplifying Medical Texts.

Hardik A. Jain, Chirayu Patel, Riyasatali Umatiya, Sajib Mistry, Aneesh Krishna, Amin Beheshti

Proceedings of the Neural Information Processing - 31st International Conference, 2024

Counterfactual Brain Graph Augmentation Guided Bi-Level Contrastive Learning for Disorder Analysis.

Guangwei Dong, Xuexiong Luo, Jing Du, Jia Wu, Shan Xue, Jian Yang, Amin Beheshti

Proceedings of the IEEE International Conference on Data Mining, 2024

GraphSUM: Scalable Graph Summarization for Efficient Question Answering.

Nasrin Shabani, Amin Beheshti, Jia Wu, Maryam Khanian Najafabadi, Jin Foo, Alireza Jolfaei

Proceedings of the Proceedings 27th International Conference on Extending Database Technology, 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, Jian Yang, Jia Wu, Amin Beheshti

Proceedings of the Advanced Data Mining and Applications - 20th International Conference, 2024

StyleDubber: Towards Multi-Scale Style Learning for Movie Dubbing.

Gaoxiang Cong, Yuankai Qi, Liang Li, Amin Beheshti, Zhedong Zhang, Anton van den Hengel, Ming-Hsuan Yang, Chenggang Yan, Qingming Huang

Proceedings of the Findings of the Association for Computational Linguistics, 2024

FedLPS: Heterogeneous Federated Learning for Multiple Tasks with Local Parameter Sharing.

Yongzhe Jia, Xuyun Zhang, Amin Beheshti, Wanchun Dou

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Natural Language-Oriented Programming (NLOP): Towards Democratizing Software Creation.

Amin Beheshti

Proceedings of the IEEE International Conference on Software Services Engineering, 2024

2023

Mixed Graph Neural Network-Based Fake News Detection for Sustainable Vehicular Social Networks.

Zhiwei Guo, Keping Yu, Alireza Jolfaei, Gang Li, Feng Ding, Amin Beheshti

IEEE Trans. Intell. Transp. Syst., December, 2023

Crime Prediction With Missing Data Via Spatiotemporal Regularized Tensor Decomposition.

Weichao Liang, Jie Cao, Lei Chen, Youquan Wang, Jia Wu, Amin Beheshti, Jiangnan Tang

IEEE Trans. Big Data, October, 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., June, 2023

Learning Distributed Representations and Deep Embedded Clustering of Texts.

Shuang Wang, Amin Beheshti, Yufei Wang, Jianchao Lu, Quan Z. Sheng, Stephen Elbourn, Hamid Alinejad-Rokny

Algorithms, March, 2023

A Cognitive Model for Technology Adoption.

Fariborz Sobhanmanesh, Amin Beheshti, Nicholas Nouri, Natalia Monje Chapparo, Sandya Raj, Richard A. George

Algorithms, March, 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, March, 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

A Survey on Graph Neural Networks for Graph Summarization.

Nasrin Shabani, Jia Wu, Amin Beheshti, Jin Foo, Ambreen Hanif, Maryam Shahabikargar

CoRR, 2023

Measuring Potential Performance Gains of Python Web Applications with pyUpgradeSim.

Anthony Shaw, Amin Beheshti

Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

Noise-Augmented Contrastive Learning for Sequential Recommendation.

Kun He, Shunmei Meng, Qianmu Li, Xiao Liu, Amin Beheshti, Xiaoxiao Chi, Xuyun Zhang

Proceedings of the Web Information Systems Engineering - WISE 2023, 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

Proceedings of the Web Information Systems Engineering - WISE 2023, 2023

OptIForest: Optimal Isolation Forest for Anomaly Detection.

Haolong Xiang, Xuyun Zhang, Hongsheng Hu, Lianyong Qi, Wanchun Dou, Mark Dras, Amin Beheshti, Xiaolong Xu

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

A Personalized Reinforcement Learning Summarization Service for Learning Structure from Unstructured Data.

Samira Ghodratnama, Amin Beheshti, Mehrdad Zakershahrak

Proceedings of the IEEE International Conference on Web Services, 2023

ProcessGPT: Transforming Business Process Management with Generative Artificial Intelligence.

Amin Beheshti, Jian Yang, Quan Z. Sheng, Boualem Benatallah, Fabio Casati, Schahram Dustdar, Hamid Reza Motahari-Nezhad, Xuyun Zhang, Shan Xue

Proceedings of the IEEE International Conference on Web Services, 2023

Empowering Generative AI with Knowledge Base 4.0: Towards Linking Analytical, Cognitive, and Generative Intelligence.

Amin Beheshti

Proceedings of the IEEE International Conference on Web Services, 2023

Surface Area Estimation Using 3D Point Clouds and Delaunay Triangulation.

Helia Farhood, Samuel Müller, Amin Beheshti

Proceedings of the Second International Conference on Innovations in Computing Research (ICR'23), 2023

Federated Anomaly Detection with Isolation Forest for IoT Network Traffics.

Junyan Li, Xuyun Zhang, Haolong Xiang, Amin Beheshti

Proceedings of the 29th IEEE International Conference on Parallel and Distributed Systems, 2023

Deep Optimal Isolation Forest with Genetic Algorithm for Anomaly Detection.

Haolong Xiang, Xuyun Zhang, Mark Dras, Amin Beheshti, Wanchun Dou, Xiaolong Xu

Proceedings of the IEEE International Conference on Data Mining, 2023

Multi-Granularity Entity Recognition based Sentence Ranking for Multi-Document Summarization.

Guowei Zhang, Xuyun Zhang, Zhiyong Wang, Amin Beheshti

Proceedings of the 10th IEEE International Conference on Data Science and Advanced Analytics, 2023

A Contextualized Transformer-Based Method for Cyberbullying Detection.

Nabi Rezvani, Amin Beheshti, Xuyun Zhang

Proceedings of the 10th IEEE International Conference on Data Science and Advanced Analytics, 2023

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., December, 2022

Performance Analysis and Optimization on Scheduling Stochastic Cloud Service Requests: A Survey.

Shuang Wang, Xiaoping Li, Quan Z. Sheng, Amin Beheshti

IEEE Trans. Netw. Serv. Manag., 2022

Deep reinforcement learning guided graph neural networks for brain network analysis.

Xusheng Zhao, Jia Wu, Hao Peng, Amin Beheshti, Jessica J. M. Monaghan, David McAlpine, Heivet Hernandez-Perez, Mark Dras, Qiong Dai, Yangyang Li, Philip S. Yu, Lifang He

Neural Networks, 2022

HAM-Net: Predictive Business Process Monitoring with a hierarchical attention mechanism.

Abdulrahman Jalayer, Mohsen Kahani, Asef Pourmasoumi, Amin Beheshti

Knowl. Based Syst., 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

Should AI-enabled medical devices be explainable?

Rita Matulionyte, Paul Nolan, Farah Magrabi, Amin Beheshti

Int. J. Law Inf. Technol., 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

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, Shui-Hua Wang, Juan Manuel Górriz, U. Rajendra Acharya, Hamid Alinejad-Rokny

CoRR, 2022

ComGA: Community-Aware Attributed Graph Anomaly Detection.

Xuexiong Luo, Jia Wu, Amin Beheshti, Jian Yang, Xiankun Zhang, Yuan Wang, Shan Xue

Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

DAWAR: Diversity-aware Web APIs Recommendation for Mashup Creation based on Correlation Graph.

Wenwen Gong, Xuyun Zhang, Yifei Chen, Qiang He, Amin Beheshti, Xiaolong Xu, Chao Yan, Lianyong Qi

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Resolving Learners Misunderstandings Using an Adaptive Divide and Correct Technique.

Alireza Tabebordbar, Amin Beheshti, Nabi Rezvani, Mohsen Asadnia, Stephen Elbourn

Proceedings of the Advances in Mobile Computing and Multimedia Intelligence, 2022

Knowledge Base 4.0: Using Crowdsourcing Services for Mimicking the Knowledge of Domain Experts.

Amin Beheshti

Proceedings of the IEEE International Conference on Web Services, 2022

DAGAD: Data Augmentation for Graph Anomaly Detection.

Fanzhen Liu, Xiaoxiao Ma, Jia Wu, Jian Yang, Shan Xue, Amin Beheshti, Chuan Zhou, Hao Peng, Quan Z. Sheng, Charu C. Aggarwal

Proceedings of the IEEE International Conference on Data Mining, 2022

Domain Knowledge Enhanced Text Mining for Identifying Mental Disorder Patterns.

Maryam Shahabikargar, Amin Beheshti, Amin Khatami, Ricky Nguyen, Xuyun Zhang, Hamid Alinejad-Rokny

Proceedings of the 9th IEEE International Conference on Data Science and Advanced Analytics, 2022

Evidence Based Pipeline for Explaining Artificial Intelligence Algorithms with Interactions.

Ambreen Hanif, Amin Beheshti, Boualem Benatallah, Xuyun Zhang, Steven Wood

Proceedings of the 9th IEEE International Conference on Data Science and Advanced Analytics, 2022

iCreate: Mining Creative Thinking Patterns from Contextualized Educational Data.

Nasrin Shabani, Amin Beheshti, Helia Farhood, Matt Bower, Michael Garrett, Hamid Alinejad-Rokny

Proceedings of the Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners' and Doctoral Consortium, 2022

A Cricket-Based Selection Hyper-Heuristic for Many-Objective Optimization Problems.

Adeem Ali Anwar, Irfan Younas, Guanfeng Liu, Amin Beheshti, Xuyun Zhang

Proceedings of the Advanced Data Mining and Applications - 18th International Conference, 2022

BP-SPARQL: A Query Language for Summarizing and Analyzing Big Process Data.

Amin Beheshti, Boualem Benatallah, Hamid Reza Motahari-Nezhad, Samira Ghodratnama, Farhad Amouzgar

Proceedings of the Process Querying Methods, 2022

2021

Multi-Queue Request Scheduling for Profit Maximization in IaaS Clouds.

Shuang Wang, Xiaoping Li, Quan Z. Sheng, Rubén Ruiz, Jinquan Zhang, Amin Beheshti

IEEE Trans. Parallel Distributed Syst., 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

Attention-Based Context Boosted Cyberbullying Detection in Social Media.

Nabi Rezvani, Amin Beheshti

J. Data Intell., 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

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

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

A Query Language for Summarizing and Analyzing Business Process Data.

Amin Beheshti, Boualem Benatallah, Hamid Reza Motahari-Nezhad, Samira Ghodratnama, Farhad Amouzgar

CoRR, 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

Intelligent Narrative Summaries: From Indicative to Informative Summarization.

Samira Ghodratnama, Amin Beheshti, Mehrdad Zakershahrak, Fariborz Sobhanmanesh

Big Data Res., 2021

Summary2vec: Learning Semantic Representation of Summaries for Healthcare Analytics.

Samira Ghodratnama, Mehrdad Zakershahrak, Amin Beheshti

Proceedings of the International Joint Conference on Neural Networks, 2021

Towards Predictive Analytics in Mental Health Care.

Amin Beheshti, Vahid Moraveji Hashemi, Shuang Wang

Proceedings of the International Joint Conference on Neural Networks, 2021

Towards Proactive Financial Crime and Fraud Detectionthrough Artificial Intelligence and RegTech Technologies.

Zeinab Rouhollahi, Amin Beheshti, Salman Mousaeirad, Srinivasa Reddy Goluguri

Proceedings of the iiWAS2021: The 23rd International Conference on Information Integration and Web Intelligence, Linz, Austria, 29 November 2021, 2021

Towards an Intelligent Fuzzy-fusion Model for Identity Document Classification.

Nouna Khandan, Amin Beheshti, Helia Farhood, Matineh Pooshideh, Mike Simpson, Nick Gatland

Proceedings of the iiWAS2021: The 23rd International Conference on Information Integration and Web Intelligence, Linz, Austria, 29 November 2021, 2021

Towards Scalable Blockchains Using Service-Oriented Architectures.

Ali Dorri, Raja Jurdak, Amin Beheshti, Alistair Barros

Proceedings of the Service-Oriented Computing - ICSOC 2021 Workshops, 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, Aditya Ghose

Proceedings of the Service-Oriented Computing - ICSOC 2021 Workshops, 2021

FRAUDRE: Fraud Detection Dual-Resistant to Graph Inconsistency and Imbalance.

Ge Zhang, Jia Wu, Jian Yang, Amin Beheshti, Shan Xue, Chuan Zhou, Quan Z. Sheng

Proceedings of the IEEE International Conference on Data Mining, 2021

Design Methodology for Service-Based Data Product Sharing and Trading.

Jian Yang, Yongping Tang, Amin Beheshti

Proceedings of the Next-Gen Digital Services. A Retrospective and Roadmap for Service Computing of the Future, 2021

Cognitive Augmentation in Processes.

Moshe Chai Barukh, Shayan Zamanirad, Marcos Báez, Amin Beheshti, Boualem Benatallah, Fabio Casati, Lina Yao, Quan Z. Sheng, Francesco Schiliro

Proceedings of the Next-Gen Digital Services. A Retrospective and Roadmap for Service Computing of the Future, 2021

Assessment2Vec: Learning Distributed Representations of Assessments to Reduce Marking Workload.

Shuang Wang, Amin Beheshti, Yufei Wang, Jianchao Lu, Quan Z. Sheng, Stephen Elbourn, Hamid Alinejad-Rokny, Elizabeth Galanis

Proceedings of the Artificial Intelligence in Education - 22nd International Conference, 2021

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

Feature-Based and Adaptive Rule Adaptation in Dynamic Environments.

Alireza Tabebordbar, Amin Beheshti, Boualem Benatallah, Moshe Chai Barukh

Data Sci. Eng., 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

Towards Cognitive Recommender Systems.

Amin Beheshti, Shahpar Yakhchi, Salman Mousaeirad, Seyed Mohssen Ghafari, Srinivasa Reddy Goluguri, Mohammad Amin Edrisi

Algorithms, 2020

Towards a Deep Attention-Based Sequential Recommender System.

Shahpar Yakhchi, Amin Beheshti, Seyed Mohssen Ghafari, Mehmet A. Orgun, Guanfeng Liu

IEEE Access, 2020

Extractive Document Summarization Based on Dynamic Feature Space Mapping.

Samira Ghodratnama, Amin Beheshti, Mehrdad Zakershahrak, Fariborz Sobhanmanesh

IEEE Access, 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

iStory: Intelligent Storytelling with Social Data.

Amin Beheshti, Alireza Tabebordbar, Boualem Benatallah

Proceedings of the Companion of The 2020 Web Conference 2020, 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

Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020

Linking textual and contextual features for intelligent cyberbullying detection in social media.

Nabi Rezvani, Amin Beheshti, Alireza Tabebordbar

Proceedings of the MoMM '20: The 18th International Conference on Advances in Mobile Computing and Multimedia, Chiang Mai, Thailand, November 30, 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

Proceedings of the MoMM '20: The 18th International Conference on Advances in Mobile Computing and Multimedia, Chiang Mai, Thailand, November 30, 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

Proceedings of the MoMM '20: The 18th International Conference on Advances in Mobile Computing and Multimedia, Chiang Mai, Thailand, November 30, 2020

A Novel Cognitive Computing Technique Using Convolutional Networks for Automating the Criminal Investigation Process in Policing.

Francesco Schiliro, Amin Beheshti, Nour Moustafa

Proceedings of the Intelligent Systems and Applications, 2020

Convolutional Neural Network for Medical Image Classification using Wavelet Features.

Amin Khatami, Asef Nazari, Amin Beheshti, Thanh Thi Nguyen, Saeid Nahavandi, Jerzy Zieba

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Attention Mechanism in Predictive Business Process Monitoring.

Abdulrahman Jalayer, Mohsen Kahani, Amin Beheshti, Asef Pourmasoumi, Hamid Reza Motahari-Nezhad

Proceedings of the 24th IEEE International Enterprise Distributed Object Computing Conference, 2020

Cognitive Privacy: AI-enabled Privacy using EEG Signals in the Internet of Things.

Francesco Schiliro, Nour Moustafa, Amin Beheshti

Proceedings of the 6th IEEE International Conference on Dependability in Sensor, 2020

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

Adaptive Rule Adaptation in Unstructured and Dynamic Environments.

Alireza Tabebordbar, Amin Beheshti, Boualem Benatallah, Moshe Chai Barukh

Proceedings of the Web Information Systems Engineering - WISE 2019, 2019

ConceptMap: A Conceptual Approach for Formulating User Preferences in Large Information Spaces.

Alireza Tabebordbar, Amin Beheshti, Boualem Benatallah

Proceedings of the Web Information Systems Engineering - WISE 2019, 2019

Intelligent Knowledge Lakes: The Age of Artificial Intelligence and Big Data.

Amin Beheshti, Boualem Benatallah, Quan Z. Sheng, Francesco Schiliro

Proceedings of the Web Information Systems Engineering, 2019

Enabling the Analysis of Personality Aspects in Recommender Systems.

Shahpar Yakhchi, Amin Beheshti, Seyed Mohssen Ghafari, Mehmet A. Orgun

Proceedings of the 23rd Pacific Asia Conference on Information Systems, 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

Proceedings of the MoMM 2019: The 17th International Conference on Advances in Mobile Computing & Multimedia, 2019

Towards Context-Aware Social Behavioral Analytics.

Amin Beheshti, Vahid Moraveji Hashemi, Shahpar Yakhchi

Proceedings of the MoMM 2019: The 17th International Conference on Advances in Mobile Computing & Multimedia, 2019

2018

ProcessAtlas: A scalable and extensible platform for business process analytics.

Amin Beheshti, Boualem Benatallah, Hamid Reza Motahari-Nezhad

Softw. Pract. Exp., 2018

CoreKG: a Knowledge Lake Service.

Amin Beheshti, Boualem Benatallah, Reza Nouri, Alireza Tabebordbar

Proc. VLDB Endow., 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

CNR: Cross-network Recommendation Embedding User's Personality.

Shahpar Yakhchi, Seyed Mohssen Ghafari, Amin Beheshti

Proceedings of the Data Quality and Trust in Big Data - 5th International Workshop, 2018

SETTRUST: Social Exchange Theory Based Context-Aware Trust Prediction in Online Social Networks.

Seyed Mohssen Ghafari, Shahpar Yakhchi, Amin Beheshti, Mehmet A. Orgun

Proceedings of the Data Quality and Trust in Big Data - 5th International Workshop, 2018

Social Context-Aware Trust Prediction: Methods for Identifying Fake News.

Seyed Mohssen Ghafari, Shahpar Yakhchi, Amin Beheshti, Mehmet A. Orgun

Proceedings of the Web Information Systems Engineering - WISE 2018, 2018

iCOP: IoT-Enabled Policing Processes.

Francesco Schiliro, Amin Beheshti, Samira Ghodratnama, Farhad Amouzgar, Boualem Benatallah, Jian Yang, Quan Z. Sheng, Fabio Casati, Hamid Reza Motahari-Nezhad

Proceedings of the Service-Oriented Computing - ICSOC 2018 Workshops, 2018

iSheets: A Spreadsheet-Based Machine Learning Development Platform for Data-Driven Process Analytics.

Farhad Amouzgar, Amin Beheshti, Samira Ghodratnama, Boualem Benatallah, Jian Yang, Quan Z. Sheng

Proceedings of the Service-Oriented Computing - ICSOC 2018 Workshops, 2018

Adaptive rule monitoring system.

Alireza Tabebordbar, Amin Beheshti

Proceedings of the 1st International Workshop on Software Engineering for Cognitive Services, 2018

CrowdCorrect: A Curation Pipeline for Social Data Cleansing and Curation.

Amin Beheshti, Kushal Vaghani, Boualem Benatallah, Alireza Tabebordbar

Proceedings of the Information Systems in the Big Data Era, 2018

iProcess: Enabling IoT Platforms in Data-Driven Knowledge-Intensive Processes.

Amin Beheshti, Francesco Schiliro, Samira Ghodratnama, Farhad Amouzgar, Boualem Benatallah, Jian Yang, Quan Z. Sheng, Fabio Casati, Hamid Reza Motahari-Nezhad

Proceedings of the Business Process Management Forum, 2018

iRecruit: Towards Automating the Recruitment Process.

Usman Shahbaz, Amin Beheshti, Sadegh Nobari, Qiang Qu, Hye-Young Paik, Mehregan Mahdavi

Proceedings of the Service Research and Innovation - 7th Australian Symposium, 2018

TEXUS: Table Extraction System for PDF Documents.

Roya Rastan, Hye-Young Paik, John Shepherd, Seung Hwan Ryu, Amin Beheshti

Proceedings of the Databases Theory and Applications, 2018

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

Computing, 2017

On Automating Basic Data Curation Tasks.

Amin Beheshti, Alireza Tabebordbar, Boualem Benatallah, Reza Nouri

Proceedings of the 26th International Conference on World Wide Web Companion, 2017

Multi-Level Privacy-Preserving Access Control as a Service for Personal Healthcare Monitoring.

Usama Salama, Lina Yao, Xianzhi Wang, Hye-Young Paik, Amin Beheshti

Proceedings of the 2017 IEEE International Conference on Web Services, 2017

CoreDB: a Data Lake Service.

Amin Beheshti, Boualem Benatallah, Reza Nouri, Van Munin Chhieng, HuangTao Xiong, Xu Zhao

Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

2016

Scalable graph-based OLAP analytics over process execution data.

Amin Beheshti, Boualem Benatallah, Hamid Reza Motahari-Nezhad

Distributed Parallel Databases, 2016

Data Curation APIs.

Amin Beheshti, Alireza Tabebordbar, Boualem Benatallah, Reza Nouri

CoRR, 2016

Galaxy: A Platform for Explorative Analysis of Open Data Sources.

Amin Beheshti, Boualem Benatallah, Hamid Reza Motahari-Nezhad

Proceedings of the 19th International Conference on Extending Database Technology, 2016

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, ISBN: 978-3-319-25037-3, 2016

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

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

Scalable SaaS-Based Process Customization with CaseWalls.

Yu-Jen John Sun, Moshe Chai Barukh, Boualem Benatallah, Amin Beheshti

Proceedings of the Service-Oriented Computing - 13th International Conference, 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

Proceedings of the Second International Conference on Advanced Data and Information Engineering, 2015

A Preliminary Approach to Domain-Based Evaluation of Users' Trustworthiness in Online Social Networks.

Bilal Abu-Salih, Pornpit Wongthongtham, Amin Beheshti, Dengya Zhu

Proceedings of the 2015 IEEE International Congress on Big Data, New York City, NY, USA, June 27, 2015

A Framework of Enriching Business Processes Life-Cycle with Tagging Information.

Zakaria Maamar, Sherif Sakr, Ahmed Barnawi, Amin Beheshti

Proceedings of the Databases Theory and Applications, 2015

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

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

Proceedings of the Performance Characterization and Benchmarking. Traditional to Big Data, 2014

2013

Big Data and Cross-Document Coreference Resolution: Current State and Future Opportunities.

Amin Beheshti, Srikumar Venugopal, Seung Hwan Ryu, Boualem Benatallah, Wei Wang

CoRR, 2013

Enabling the Analysis of Cross-Cutting Aspects in Ad-Hoc Processes.

Amin Beheshti, Boualem Benatallah, Hamid R. Motahari Nezhad

Proceedings of the Advanced Information Systems Engineering, 2013

Collusion Detection in Online Rating Systems.

Mohammad Allahbakhsh, Aleksandar Ignjatovic, Boualem Benatallah, Amin Beheshti, Elisa Bertino, Norman Foo

Proceedings of the Web Technologies and Applications - 15th Asia-Pacific Web Conference, 2013

2012

Organizing, querying, and analyzing ad-hoc processes' data.

Amin Beheshti

PhD thesis, 2012

Extending SPARQL to Support Entity Grouping and Path Queries

Amin Beheshti, Sherif Sakr, Boualem Benatallah, Hamid R. Motahari Nezhad

CoRR, 2012

Temporal Provenance Model (TPM): Model and Query Language

Amin Beheshti, Hamid R. Motahari Nezhad, Boualem Benatallah

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

Detecting, Representing and Querying Collusion in Online Rating Systems

Mohammad Allahbakhsh, Aleksandar Ignjatovic, Boualem Benatallah, Amin Beheshti, Norman Foo, Elisa Bertino

CoRR, 2012

A Framework and a Language for On-Line Analytical Processing on Graphs.

Amin Beheshti, Boualem Benatallah, Hamid R. Motahari Nezhad, Mohammad Allahbakhsh

Proceedings of the Web Information Systems Engineering - WISE 2012, 2012

Reputation management in crowdsourcing systems.

Mohammad Allahbakhsh, Aleksandar Ignjatovic, Boualem Benatallah, Amin Beheshti, Elisa Bertino, Norman Foo

Proceedings of the 8th International Conference on Collaborative Computing: Networking, 2012

2011

A Query Language for Analyzing Business Processes Execution.

Amin Beheshti, Boualem Benatallah, Hamid R. Motahari Nezhad, Sherif Sakr

Proceedings of the Business Process Management - 9th International Conference, 2011

2007

Development of Grid resource discovery service based on semantic information.

Amin Beheshti, Mohsen Sadighi Moshkenani

Proceedings of the 2007 Spring Simulation Multiconference, 2007