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Amin Beheshti

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affiliation: Macquarie University, Sydney, NSW, Australia

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2025
[j52]
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Matineh Pooshideh, Amin Beheshti, Yuankai Qi, Helia Farhood, Mike Simpson, Nick Gatland, Mehdi Soltany:
Presentation Attack Detection: A Systematic Literature Review. ACM Comput. Surv. 57(1): 25:1-25:32 (2025)
[j51]
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Mohammad Hussein Amiri, Nastaran Mehrabi Hashjin, Maryam Khanian Najafabadi, Amin Beheshti, Nima Khodadadi:
An innovative data-driven AI approach for detecting and isolating faults in gas turbines at power plants. Expert Syst. Appl. 263: 125497 (2025)
2024
[j50]
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Neeraj Anand Sharma, Rishal Ravikesh Chand, Zain Buksh, A. B. M. Shawkat Ali, Ambreen Hanif, Amin Beheshti:
Explainable AI Frameworks: Navigating the Present Challenges and Unveiling Innovative Applications. Algorithms 17(6): 227 (2024)
[j49]
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Mahboobeh Jafari, Delaram Sadeghi, Afshin Shoeibi, Hamid Alinejad-Rokny, Amin Beheshti, David López-García, Zhaolin Chen, U. Rajendra Acharya, Juan Manuel Górriz:
Empowering precision medicine: AI-driven schizophrenia diagnosis via EEG signals: A comprehensive review from 2002-2023. Appl. Intell. 54(11-12): 35-79 (2024)
[j48]
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Ahmad Taheri, Keyvan RahimiZadeh, Amin Beheshti, Jan Baumbach, Ravipudi Venkata Rao, Seyedali Mirjalili, Amir H. Gandomi:
Partial reinforcement optimizer: An evolutionary optimization algorithm. Expert Syst. Appl. 238(Part F): 122070 (2024)
[j47]
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Helia Farhood, Ibrahim Nabeel Joudah, Amin Beheshti, Samuel Müller:
Evaluating and Enhancing Artificial Intelligence Models for Predicting Student Learning Outcomes. Informatics 11(3): 46 (2024)
[j46]
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Ivan Bakhshayeshi, Eila Erfani, Firouzeh Rosa Taghikhah, Stephen Elbourn, Amin Beheshti, Mohsen Asadnia:
An Intelligence Cattle Reidentification System Over Transport by Siamese Neural Networks and YOLO. IEEE Internet Things J. 11(2): 2351-2363 (2024)
[j45]
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Fariba Lotfi, Mansour Jamzad, Hamid Beigy, Helia Farhood, Quan Z. Sheng, Amin Beheshti:
Knowledge graph construction in hyperbolic space for automatic image annotation. Image Vis. Comput. 151: 105293 (2024)
[j44]
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Bilal Abu-Salih, Dana Al Qudah, Malak Al-Hassan, Seyed Mohssen Ghafari, Tomayess Issa, Ibrahim Aljarah, Amin Beheshti, Sulaiman Alqahtani:
An intelligent system for multi-topic social spam detection in microblogging. J. Inf. Sci. 50(6): 1471-1498 (2024)
[j43]
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Yunchuan Ma, Zheng Zhu, Yuankai Qi, Amin Beheshti, Ying Li, Laiyun Qing, Guorong Li:
Style-aware two-stage learning framework for video captioning. Knowl. Based Syst. 301: 112258 (2024)
[j42]
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Nasrin Shabani, Jia Wu, Amin Beheshti, Quan Z. Sheng, Jin Foo, Venus Haghighi, Ambreen Hanif, Maryam Shahabikargar:
A Comprehensive Survey on Graph Summarization With Graph Neural Networks. IEEE Trans. Artif. Intell. 5(8): 3780-3800 (2024)
[j41]
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Imran Razzak, Mohamed Reda Bouadjenek, Muhammad Aamir Cheema, Ibrahim A. Hameed, Guangdong Xu, Amin Beheshti:
Guest Editorial: Special Issue on Generating Human Readable Explanations in NLP. IEEE Trans. Comput. Soc. Syst. 11(4): 4552-4555 (2024)
[j40]
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Sadegh Fadaei, Abbas Dehghani, Keyvan RahimiZadeh, Amin Beheshti:
An efficient texture descriptor based on local patterns and particle swarm optimization algorithm for face recognition. J. Supercomput. 80(17): 25345-25376 (2024)
[j39]
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Qian Li, Jianxin Li, Jiawei Sheng, Shiyao Cui, Jia Wu, Yiming Hei, Hao Peng, Shu Guo, Lihong Wang, Amin Beheshti, Philip S. Yu:
A Survey on Deep Learning Event Extraction: Approaches and Applications. IEEE Trans. Neural Networks Learn. Syst. 35(5): 6301-6321 (2024)
[c88]
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  - conf/IEEEscc/Beheshti24
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Amin Beheshti:
Natural Language-Oriented Programming (NLOP): Towards Democratizing Software Creation. SSE 2024: 258-267
[c87]
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Yongzhe Jia, Xuyun Zhang, Amin Beheshti, Wanchun Dou:
FedLPS: Heterogeneous Federated Learning for Multiple Tasks with Local Parameter Sharing. AAAI 2024: 12848-12856
[c86]
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Gaoxiang Cong, Yuankai Qi, Liang Li, Amin Beheshti, Zhedong Zhang, Anton van den Hengel, Ming-Hsuan Yang, Chenggang Yan, Qingming Huang:
StyleDubber: Towards Multi-Scale Style Learning for Movie Dubbing. ACL (Findings) 2024: 6767-6779
[c85]
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  - conf/edbt/ShabaniB0NFJ24
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Nasrin Shabani, Amin Beheshti, Jia Wu, Maryam Khanian Najafabadi, Jin Foo, Alireza Jolfaei:
GraphSUM: Scalable Graph Summarization for Efficient Question Answering. EDBT 2024: 794-797
[c84]
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  - conf/icws/ChenCB24
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Vincent Chen, Perry Chen, Amin Beheshti:
Ecosystem-Based Data Products and DaaS: Complexity Analysis and Design Considerations. ICWS 2024: 1-9
[c83]
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Cheng Chen, Xiaoxiao Chi, Amin Beheshti, Jinjun Chen, Wanchun Dou:
DISS-CF: Direct Item Session Similarity Enhanced Collaborative Filtering Method for Recommendation. ICWS 2024: 320-329
[c82]
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Fariba Lotfi, Amin Beheshti, Mansour Jamzad, Hamid Beigy, Jia Wu, Philip S. Yu:
The Open Story Model (OSM): Transforming Big Data into Interactive Narratives. ICWS 2024: 1177-1187
[c81]
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Xiaoxiao Chi, Xuyun Zhang, Yan Wang, Lianyong Qi, Amin Beheshti, Xiaolong Xu, Kim-Kwang Raymond Choo, Shuo Wang, Hongsheng Hu:
Shadow-Free Membership Inference Attacks: Recommender Systems Are More Vulnerable Than You Thought. IJCAI 2024: 5781-5789
[c80]
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Xuexiong Luo, Jia Wu, Jian Yang, Shan Xue, Amin Beheshti, Quan Z. Sheng, David McAlpine, Paul F. Sowman, Alexis Giral, Philip S. Yu:
Graph Neural Networks for Brain Graph Learning: A Survey. IJCAI 2024: 8170-8178
[c79]
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  - conf/iwinac/ShoeibiJSAABG24
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Afshin Shoeibi, Mahboobeh Jafari, Delaram Sadeghi, Roohallah Alizadehsani, Hamid Alinejad-Rokny, Amin Beheshti, Juan Manuel Górriz:
Early Diagnosis of Schizophrenia in EEG Signals Using One Dimensional Transformer Model. IWINAC 2024: 139-149
[c78]
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Afshin Shoeibi, Marjane Khodatars, Hamid Alinejad-Rokny, Jónathan Heras, Sara Bagherzadeh, Amin Beheshti, Juan Manuel Górriz:
Diagnosis of Schizophrenia in EEG Signals Using dDTF Effective Connectivity and New PreTrained CNN and Transformer Models. IWINAC 2024: 150-160
[c77]
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Jing Du, Guangwei Dong, Congbo Ma, Shan Xue, Jia Wu, Jian Yang, Amin Beheshti, Quan Z. Sheng, Alexis Giral:
Distributionally-Adaptive Variational Meta Learning for Brain Graph Classification. MICCAI (10) 2024: 229-239
[c76]
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Xingyuan Mao, Yuwen Liu, Lianyong Qi, Li Duan, Xiaolong Xu, Xuyun Zhang, Wanchun Dou, Amin Beheshti, Xiaokang Zhou:
Cluster-driven Personalized Federated Recommendation with Interest-aware Graph Convolution Network for Multimedia. ACM Multimedia 2024: 5614-5622
[c75]
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  - conf/wise/TuMLLBZ24
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Longchuan Tu, Shunmei Meng, Xiao Liu, Guanfeng Liu, Amin Beheshti, Xuyun Zhang:
Semantic Similarity-Based Graph Contrastive Learning for Recommender System. WISE (3) 2024: 17-31
[c74]
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Venus Haghighi, Nasrin Shabani, Behnaz Soltani, Lina Yao, Quan Z. Sheng, Jian Yang, Amin Beheshti:
Robust Graph Learning Against Camouflaged Malicious Actors. WISE (2) 2024: 146-161
[c73]
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  - conf/wsdm/HanifBZWBF24
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Ambreen Hanif, Amin Beheshti, Xuyun Zhang, Steven Wood, Boualem Benatallah, EuJin Foo:
EvidenceQuest: An Interactive Evidence Discovery System for Explainable Artificial Intelligence. WSDM 2024: 1058-1061
[c72]
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Xuexiong Luo, Guangwei Dong, Jia Wu, Amin Beheshti, Jian Yang, Shan Xue:
An Interpretable Brain Graph Contrastive Learning Framework for Brain Disorder Analysis. WSDM 2024: 1074-1077
[e4]
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  - conf/medi/2023w
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Mohamed Mosbah, M. Tahar Kechadi, Ladjel Bellatreche, Faïez Gargouri, Chirine Ghedira Guégan, Hassan Badir, Amin Beheshti, Mohamed Mohsen Gammoudi:
Advances in Model and Data Engineering in the Digitalization Era - MEDI 2023 Short and Workshop Papers, Sousse, Tunisia, November 2-4, 2023, Proceedings. Communications in Computer and Information Science 2071, Springer 2024, ISBN 978-3-031-55728-6 [contents]
[i24]
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  - journals/corr/abs-2402-08578
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Yongzhe Jia, Xuyun Zhang, Amin Beheshti, Wanchun Dou:
FedLPS: Heterogeneous Federated Learning for Multiple Tasks with Local Parameter Sharing. CoRR abs/2402.08578 (2024)
[i23]
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  - journals/corr/abs-2402-12636
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Gaoxiang Cong, Yuankai Qi, Liang Li, Amin Beheshti, Zhedong Zhang, Anton van den Hengel, Ming-Hsuan Yang, Chenggang Yan, Qingming Huang:
StyleDubber: Towards Multi-Scale Style Learning for Movie Dubbing. CoRR abs/2402.12636 (2024)
[i22]
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  - journals/corr/abs-2403-07834
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Sahar Moradizeyveh, Mehnaz Tabassum, Sidong Liu, Robert Ahadizad Newport, Amin Beheshti, Antonio Di Ieva:
When Eye-Tracking Meets Machine Learning: A Systematic Review on Applications in Medical Image Analysis. CoRR abs/2403.07834 (2024)
[i21]
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  - journals/corr/abs-2405-07018
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Xiaoxiao Chi, Xuyun Zhang, Yan Wang, Lianyong Qi, Amin Beheshti, Xiaolong Xu, Kim-Kwang Raymond Choo, Shuo Wang, Hongsheng Hu:
Shadow-Free Membership Inference Attacks: Recommender Systems Are More Vulnerable Than You Thought. CoRR abs/2405.07018 (2024)
[i20]
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  - journals/corr/abs-2406-02594
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Xuexiong Luo, Jia Wu, Jian Yang, Shan Xue, Amin Beheshti, Quan Z. Sheng, David McAlpine, Paul F. Sowman, Alexis Giral, Philip S. Yu:
Graph Neural Networks for Brain Graph Learning: A Survey. CoRR abs/2406.02594 (2024)
[i19]
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  - journals/corr/abs-2406-05409
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Amin Beheshti:
Natural Language-Oriented Programming (NLOP): Towards Democratizing Software Creation. CoRR abs/2406.05409 (2024)
[i18]
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  - journals/corr/abs-2410-03198
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Saleh Afzoon, Usman Naseem, Amin Beheshti, Zahra Jamali:
PersoBench: Benchmarking Personalized Response Generation in Large Language Models. CoRR abs/2410.03198 (2024)
2023
[j38]
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  - journals/algorithms/LotfiBFPJB23
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Fariba Lotfi, Amin Beheshti, Helia Farhood, Matineh Pooshideh, Mansour Jamzad, Hamid Beigy:
Storytelling with Image Data: A Systematic Review and Comparative Analysis of Methods and Tools. Algorithms 16(3): 135 (2023)
[j37]
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  - journals/algorithms/SobhanmaneshBNCRG23
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Fariborz Sobhanmanesh, Amin Beheshti, Nicholas Nouri, Natalia Monje Chapparo, Sandya Raj, Richard A. George:
A Cognitive Model for Technology Adoption. Algorithms 16(3): 155 (2023)
[j36]
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  - journals/algorithms/WangBWLSEA23
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Shuang Wang, Amin Beheshti, Yufei Wang, Jianchao Lu, Quan Z. Sheng, Stephen Elbourn, Hamid Alinejad-Rokny:
Learning Distributed Representations and Deep Embedded Clustering of Texts. Algorithms 16(3): 158 (2023)
[j35]
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  - journals/mms/KausarRSB23
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Asma Kausar, Imran Razzak, Mohd Ibrahim Shapiai, Amin Beheshti:
3D shallow deep neural network for fast and precise segmentation of left atrium. Multim. Syst. 29(3): 1739-1749 (2023)
[j34]
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  - journals/tbd/LiangCCWWBT23
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Weichao Liang, Jie Cao, Lei Chen, Youquan Wang, Jia Wu, Amin Beheshti, Jiangnan Tang:
Crime Prediction With Missing Data Via Spatiotemporal Regularized Tensor Decomposition. IEEE Trans. Big Data 9(5): 1392-1407 (2023)
[j33]
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  - journals/tits/SchiliroMRB23
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Francesco Schiliro, Nour Moustafa, Imran Razzak, Amin Beheshti:
DeepCog: A Trustworthy Deep Learning-Based Human Cognitive Privacy Framework in Industrial Policing. IEEE Trans. Intell. Transp. Syst. 24(7): 7485-7493 (2023)
[j32]
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Zhiwei Guo, Keping Yu, Alireza Jolfaei, Gang Li, Feng Ding, Amin Beheshti:
Mixed Graph Neural Network-Based Fake News Detection for Sustainable Vehicular Social Networks. IEEE Trans. Intell. Transp. Syst. 24(12): 15486-15498 (2023)
[c71]
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  - conf/dsaa/RezvaniBZ23
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Nabi Rezvani, Amin Beheshti, Xuyun Zhang:
A Contextualized Transformer-Based Method for Cyberbullying Detection. DSAA 2023: 1-10
[c70]
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  - conf/dsaa/ZhangZWB23
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Guowei Zhang, Xuyun Zhang, Zhiyong Wang, Amin Beheshti:
Multi-Granularity Entity Recognition based Sentence Ranking for Multi-Document Summarization. DSAA 2023: 1-10
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Haolong Xiang, Xuyun Zhang, Mark Dras, Amin Beheshti, Wanchun Dou, Xiaolong Xu:
Deep Optimal Isolation Forest with Genetic Algorithm for Anomaly Detection. ICDM 2023: 678-687
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Junyan Li, Xuyun Zhang, Haolong Xiang, Amin Beheshti:
Federated Anomaly Detection with Isolation Forest for IoT Network Traffics. ICPADS 2023: 2622-2629
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Helia Farhood, Samuel Müller, Amin Beheshti:
Surface Area Estimation Using 3D Point Clouds and Delaunay Triangulation. ICR 2023: 28-39
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Samira Ghodratnama, Amin Beheshti, Mehrdad Zakershahrak:
A Personalized Reinforcement Learning Summarization Service for Learning Structure from Unstructured Data. ICWS 2023: 206-213
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Amin Beheshti, Jian Yang, Quan Z. Sheng, Boualem Benatallah, Fabio Casati, Schahram Dustdar, Hamid Reza Motahari-Nezhad, Xuyun Zhang, Shan Xue:
ProcessGPT: Transforming Business Process Management with Generative Artificial Intelligence. ICWS 2023: 731-739
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Amin Beheshti:
Empowering Generative AI with Knowledge Base 4.0: Towards Linking Analytical, Cognitive, and Generative Intelligence. ICWS 2023: 763-771
[c63]
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Haolong Xiang, Xuyun Zhang, Hongsheng Hu, Lianyong Qi, Wanchun Dou, Mark Dras, Amin Beheshti, Xiaolong Xu:
OptIForest: Optimal Isolation Forest for Anomaly Detection. IJCAI 2023: 2379-2387
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Kun He, Shunmei Meng, Qianmu Li, Xiao Liu, Amin Beheshti, Xiaoxiao Chi, Xuyun Zhang:
Noise-Augmented Contrastive Learning for Sequential Recommendation. WISE 2023: 559-568
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Ambreen Hanif, Amin Beheshti, Boualem Benatallah, Xuyun Zhang, Habiba, EuJin Foo, Nasrin Shabani, Maryam Shahabikargar:
A Comprehensive Survey of Explainable Artificial Intelligence (XAI) Methods: Exploring Transparency and Interpretability. WISE 2023: 915-925
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Anthony Shaw, Amin Beheshti:
Measuring Potential Performance Gains of Python Web Applications with pyUpgradeSim. WWW (Companion Volume) 2023: 164-167
[i17]
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Nasrin Shabani, Jia Wu, Amin Beheshti, Jin Foo, Ambreen Hanif, Maryam Shahabikargar:
A Survey on Graph Neural Networks for Graph Summarization. CoRR abs/2302.06114 (2023)
[i16]
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Amin Beheshti, Jian Yang, Quan Z. Sheng, Boualem Benatallah, Fabio Casati, Schahram Dustdar, Hamid Reza Motahari-Nezhad, Xuyun Zhang, Shan Xue:
ProcessGPT: Transforming Business Process Management with Generative Artificial Intelligence. CoRR abs/2306.01771 (2023)
[i15]
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Haolong Xiang, Xuyun Zhang, Hongsheng Hu, Lianyong Qi, Wanchun Dou, Mark Dras, Amin Beheshti, Xiaolong Xu:
OptIForest: Optimal Isolation Forest for Anomaly Detection. CoRR abs/2306.12703 (2023)
[i14]
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Samira Ghodratnama, Amin Beheshti, Mehrdad Zakershahrak:
A Personalized Reinforcement Learning Summarization Service for Learning Structure from Unstructured Data. CoRR abs/2307.05696 (2023)
[i13]
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Mahboobeh Jafari, Delaram Sadeghi, Afshin Shoeibi, Hamid Alinejad-Rokny, Amin Beheshti, David López-García, Zhaolin Chen, U. Rajendra Acharya, Juan Manuel Górriz:
Empowering Precision Medicine: AI-Driven Schizophrenia Diagnosis via EEG Signals: A Comprehensive Review from 2002-2023. CoRR abs/2309.12202 (2023)
2022
[j31]
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Hamed Dashti, Iman Dehzangi, Masroor Bayati, James Breen, Amin Beheshti, Nigel H. Lovell, Hamid R. Rabiee, Hamid Alinejad-Rokny:
Integrative analysis of mutated genes and mutational processes reveals novel mutational biomarkers in colorectal cancer. BMC Bioinform. 23(1): 138 (2022)
[j30]
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Ali Golkar, Razieh Malekhosseini, Keyvan RahimiZadeh, Azita Yazdani, Amin Beheshti:
A priority queue-based telemonitoring system for automatic diagnosis of heart diseases in integrated fog computing environments. Health Informatics J. 28(4): 146045822211374 (2022)
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Rita Matulionyte, Paul Nolan, Farah Magrabi, Amin Beheshti:
Should AI-enabled medical devices be explainable? Int. J. Law Inf. Technol. 30(2): 151-180 (2022)
[j28]
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Shahpar Yakhchi, Amin Beheshti, Seyed Mohssen Ghafari, Imran Razzak, Mehmet A. Orgun, Mehdi Elahi:
A Convolutional Attention Network for Unifying General and Sequential Recommenders. Inf. Process. Manag. 59(1): 102755 (2022)
[j27]
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Abdulrahman Jalayer, Mohsen Kahani, Asef Pourmasoumi, Amin Beheshti:
HAM-Net: Predictive Business Process Monitoring with a hierarchical attention mechanism. Knowl. Based Syst. 236: 107722 (2022)
[j26]
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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:
Deep reinforcement learning guided graph neural networks for brain network analysis. Neural Networks 154: 56-67 (2022)
[j25]
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Shuang Wang, Xiaoping Li, Quan Z. Sheng, Amin Beheshti:
Performance Analysis and Optimization on Scheduling Stochastic Cloud Service Requests: A Survey. IEEE Trans. Netw. Serv. Manag. 19(3): 3587-3602 (2022)
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Adeem Ali Anwar, Irfan Younas, Guanfeng Liu, Amin Beheshti, Xuyun Zhang:
A Cricket-Based Selection Hyper-Heuristic for Many-Objective Optimization Problems. ADMA (2) 2022: 310-324
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Nasrin Shabani, Amin Beheshti, Helia Farhood, Matt Bower, Michael Garrett, Hamid Alinejad-Rokny:
iCreate: Mining Creative Thinking Patterns from Contextualized Educational Data. AIED (2) 2022: 352-356
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Ambreen Hanif, Amin Beheshti, Boualem Benatallah, Xuyun Zhang, Steven Wood:
Evidence Based Pipeline for Explaining Artificial Intelligence Algorithms with Interactions. DSAA 2022: 1-9
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Maryam Shahabikargar, Amin Beheshti, Amin Khatami, Ricky Nguyen, Xuyun Zhang, Hamid Alinejad-Rokny:
Domain Knowledge Enhanced Text Mining for Identifying Mental Disorder Patterns. DSAA 2022: 1-10
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Fanzhen Liu, Xiaoxiao Ma, Jia Wu, Jian Yang, Shan Xue, Amin Beheshti, Chuan Zhou, Hao Peng, Quan Z. Sheng, Charu C. Aggarwal:
DAGAD: Data Augmentation for Graph Anomaly Detection. ICDM 2022: 259-268
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Amin Beheshti:
Knowledge Base 4.0: Using Crowdsourcing Services for Mimicking the Knowledge of Domain Experts. ICWS 2022: 425-427
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Alireza Tabebordbar, Amin Beheshti, Nabi Rezvani, Mohsen Asadnia, Stephen Elbourn:
Resolving Learners Misunderstandings Using an Adaptive Divide and Correct Technique. MoMM 2022: 154-168
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Wenwen Gong, Xuyun Zhang, Yifei Chen, Qiang He, Amin Beheshti, Xiaolong Xu, Chao Yan, Lianyong Qi:
DAWAR: Diversity-aware Web APIs Recommendation for Mashup Creation based on Correlation Graph. SIGIR 2022: 395-404
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Xuexiong Luo, Jia Wu, Amin Beheshti, Jian Yang, Xiankun Zhang, Yuan Wang, Shan Xue:
ComGA: Community-Aware Attributed Graph Anomaly Detection. WSDM 2022: 657-665
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Amin Beheshti, Boualem Benatallah, Hamid Reza Motahari-Nezhad, Samira Ghodratnama, Farhad Amouzgar:
BP-SPARQL: A Query Language for Summarizing and Analyzing Big Process Data. Process Querying Methods 2022: 21-48
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Hakim Hacid, Monther Aldwairi, Mohamed Reda Bouadjenek, Marinella Petrocchi, Noura Faci, Fatma Outay, Amin Beheshti, Lauritz Thamsen, Hai Dong:
Service-Oriented Computing - ICSOC 2021 Workshops - AIOps, STRAPS, AI-PA and Satellite Events, Dubai, United Arab Emirates, November 22-25, 2021, Proceedings. Lecture Notes in Computer Science 13236, Springer 2022, ISBN 978-3-031-14134-8 [contents]
[i12]
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Bilal Abu-Salih, Dana Al Qudah, Malak Al-Hassan, Seyed Mohssen Ghafari, Tomayess Issa, Ibrahim Aljarah, Amin Beheshti, Sulaiman Alqahtani:
An Intelligent System for Multi-topic Social Spam Detection in Microblogging. CoRR abs/2201.05203 (2022)
[i11]
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  - journals/corr/abs-2203-10093
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Xusheng Zhao, Jia Wu, Hao Peng, Amin Beheshti, Jessica Monaghan, David McAlpine, Heivet Hernandez-Perez, Mark Dras, Qiong Dai, Yangyang Li, Philip S. Yu, Lifang He:
Deep Reinforcement Learning Guided Graph Neural Networks for Brain Network Analysis. CoRR abs/2203.10093 (2022)
[i10]
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  - journals/corr/abs-2210-09766
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Fanzhen Liu, Xiaoxiao Ma, Jia Wu, Jian Yang, Shan Xue, Amin Beheshti, Chuan Zhou, Hao Peng, Quan Z. Sheng, Charu C. Aggarwal:
DAGAD: Data Augmentation for Graph Anomaly Detection. CoRR abs/2210.09766 (2022)
[i9]
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  - journals/corr/abs-2210-14611
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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:
Automatic Diagnosis of Myocarditis Disease in Cardiac MRI Modality using Deep Transformers and Explainable Artificial Intelligence. CoRR abs/2210.14611 (2022)
2021
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Samira Ghodratnama, Amin Beheshti, Mehrdad Zakershahrak, Fariborz Sobhanmanesh:
Intelligent Narrative Summaries: From Indicative to Informative Summarization. Big Data Res. 26: 100257 (2021)
[j23]
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Mohammad Dabbagh, Kim-Kwang Raymond Choo, Amin Beheshti, Mohammad Tahir, Nader Sohrabi Safa:
A survey of empirical performance evaluation of permissioned blockchain platforms: Challenges and opportunities. Comput. Secur. 100: 102078 (2021)
[j22]
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Bilal Abu-Salih, Marwan Al-Tawil, Ibrahim Aljarah, Hossam Faris, Pornpit Wongthongtham, Kit Yan Chan, Amin Beheshti:
Relational Learning Analysis of Social Politics using Knowledge Graph Embedding. Data Min. Knowl. Discov. 35(4): 1497-1536 (2021)
[j21]
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Mohammad Allahbakhsh, Haleh Amintoosi, Behshid Behkamal, Amin Beheshti, Elisa Bertino:
SCiMet: Stable, sCalable and reliable Metric-based framework for quality assessment in collaborative content generation systems. J. Informetrics 15(2): 101127 (2021)
[j20]
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Seyed Mohssen Ghafari, Amin Beheshti, Aditya Joshi, Cécile Paris, Shahpar Yakhchi, Mehmet A. Orgun, Alireza Jolfaei, Quan Z. Sheng:
Modeling Personality Effect in Trust Prediction. J. Data Intell. 2(4): 401-417 (2021)
[j19]
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Nabi Rezvani, Amin Beheshti:
Attention-Based Context Boosted Cyberbullying Detection in Social Media. J. Data Intell. 2(4): 418-433 (2021)
[j18]
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Javed Ashraf, Asim D. Bakhshi, Nour Moustafa, Hasnat Khurshid, Abdullah Javed, Amin Beheshti:
Novel Deep Learning-Enabled LSTM Autoencoder Architecture for Discovering Anomalous Events From Intelligent Transportation Systems. IEEE Trans. Intell. Transp. Syst. 22(7): 4507-4518 (2021)
[j17]
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Shuang Wang, Xiaoping Li, Quan Z. Sheng, Rubén Ruiz, Jinquan Zhang, Amin Beheshti:
Multi-Queue Request Scheduling for Profit Maximization in IaaS Clouds. IEEE Trans. Parallel Distributed Syst. 32(11): 2838-2851 (2021)
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Shuang Wang, Amin Beheshti, Yufei Wang, Jianchao Lu, Quan Z. Sheng, Stephen Elbourn, Hamid Alinejad-Rokny, Elizabeth Galanis:
Assessment2Vec: Learning Distributed Representations of Assessments to Reduce Marking Workload. AIED (2) 2021: 384-389
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Moshe Chai Barukh, Shayan Zamanirad, Marcos Báez, Amin Beheshti, Boualem Benatallah, Fabio Casati, Lina Yao, Quan Z. Sheng, Francesco Schiliro:
Cognitive Augmentation in Processes. Next-Gen Digital Services 2021: 123-137
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Jian Yang, Yongping Tang, Amin Beheshti:
Design Methodology for Service-Based Data Product Sharing and Trading. Next-Gen Digital Services 2021: 221-235
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Ge Zhang, Jia Wu, Jian Yang, Amin Beheshti, Shan Xue, Chuan Zhou, Quan Z. Sheng:
FRAUDRE: Fraud Detection Dual-Resistant to Graph Inconsistency and Imbalance. ICDM 2021: 867-876
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Amin Beheshti, Boualem Benatallah, Quan Z. Sheng, Fabio Casati, Hamid Reza Motahari-Nezhad, Jian Yang, Aditya Ghose:
AI-Enabled Processes: The Age of Artificial Intelligence and Big Data. ICSOC Workshops 2021: 321-335
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Ali Dorri, Raja Jurdak, Amin Beheshti, Alistair Barros:
Towards Scalable Blockchains Using Service-Oriented Architectures. ICSOC Workshops 2021: 351-362
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Nouna Khandan, Amin Beheshti, Helia Farhood, Matineh Pooshideh, Mike Simpson, Nick Gatland:
Towards an Intelligent Fuzzy-fusion Model for Identity Document Classification. iiWAS 2021: 523-531
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Zeinab Rouhollahi, Amin Beheshti, Salman Mousaeirad, Srinivasa Reddy Goluguri:
Towards Proactive Financial Crime and Fraud Detectionthrough Artificial Intelligence and RegTech Technologies. iiWAS 2021: 538-546
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Amin Beheshti, Vahid Moraveji Hashemi, Shuang Wang:
Towards Predictive Analytics in Mental Health Care. IJCNN 2021: 1-7
[c41]
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Samira Ghodratnama, Mehrdad Zakershahrak, Amin Beheshti:
Summary2vec: Learning Semantic Representation of Summaries for Healthcare Analytics. IJCNN 2021: 1-8
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Hakim Hacid, Fatma Outay, Hye-young Paik, Amira Alloum, Marinella Petrocchi, Mohamed Reda Bouadjenek, Amin Beheshti, Xumin Liu, Abderrahmane Maaradji:
Service-Oriented Computing - ICSOC 2020 Workshops - AIOps, CFTIC, STRAPS, AI-PA, AI-IOTS, and Satellite Events, Dubai, United Arab Emirates, December 14-17, 2020, Proceedings. Lecture Notes in Computer Science 12632, Springer 2021, ISBN 978-3-030-76351-0 [contents]
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  - journals/corr/abs-2105-10911
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Amin Beheshti, Boualem Benatallah, Hamid Reza Motahari-Nezhad, Samira Ghodratnama, Farhad Amouzgar:
A Query Language for Summarizing and Analyzing Business Process Data. CoRR abs/2105.10911 (2021)
2020
[j16]
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Samira Ghodratnama, Amin Beheshti, Mehrdad Zakershahrak, Fariborz Sobhanmanesh:
Extractive Document Summarization Based on Dynamic Feature Space Mapping. IEEE Access 8: 139084-139095 (2020)
[j15]
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Seyed Mohssen Ghafari, Amin Beheshti, Aditya Joshi, Cécile Paris, Adnan Mahmood, Shahpar Yakhchi, Mehmet A. Orgun:
A Survey on Trust Prediction in Online Social Networks. IEEE Access 8: 144292-144309 (2020)
[j14]
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Shahpar Yakhchi, Amin Beheshti, Seyed Mohssen Ghafari, Mehmet A. Orgun, Guanfeng Liu:
Towards a Deep Attention-Based Sequential Recommender System. IEEE Access 8: 178073-178084 (2020)
[j13]
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Amin Beheshti, Shahpar Yakhchi, Salman Mousaeirad, Seyed Mohssen Ghafari, Srinivasa Reddy Goluguri, Mohammad Amin Edrisi:
Towards Cognitive Recommender Systems. Algorithms 13(8): 176 (2020)
[j12]
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Huan Niu, Wei Xu, Hamidreza Akbarzadeh, Hamid Parvin, Amin Beheshti, Hamid Alinejad-Rokny:
Deep feature learnt by conventional deep neural network. Comput. Electr. Eng. 84: 106656 (2020)
[j11]
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Alireza Tabebordbar, Amin Beheshti, Boualem Benatallah, Moshe Chai Barukh:
Feature-Based and Adaptive Rule Adaptation in Dynamic Environments. Data Sci. Eng. 5(3): 207-223 (2020)
[j10]
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Mohamed Adel Serhani, Hadeel T. El Kassabi, Khaled Shuaib, Alramzana Nujum Navaz, Boualem Benatallah, Amin Beheshti:
Self-adapting cloud services orchestration for fulfilling intensive sensory data-driven IoT workflows. Future Gener. Comput. Syst. 108: 583-597 (2020)
[c40]
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Francesco Schiliro, Nour Moustafa, Amin Beheshti:
Cognitive Privacy: AI-enabled Privacy using EEG Signals in the Internet of Things. DependSys 2020: 73-79
[c39]
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Abdulrahman Jalayer, Mohsen Kahani, Amin Beheshti, Asef Pourmasoumi, Hamid Reza Motahari-Nezhad:
Attention Mechanism in Predictive Business Process Monitoring. EDOC 2020: 181-186
[c38]
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Amin Khatami, Asef Nazari, Amin Beheshti, Thanh Thi Nguyen, Saeid Nahavandi, Jerzy Zieba:
Convolutional Neural Network for Medical Image Classification using Wavelet Features. IJCNN 2020: 1-8
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Francesco Schiliro, Amin Beheshti, Nour Moustafa:
A Novel Cognitive Computing Technique Using Convolutional Networks for Automating the Criminal Investigation Process in Policing. IntelliSys (1) 2020: 528-539
[c36]
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Nabi Rezvani, Amin Beheshti, Alireza Tabebordbar:
Linking textual and contextual features for intelligent cyberbullying detection in social media. MoMM 2020: 3-10
[c35]
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Seyed Mohssen Ghafari, Amin Beheshti, Aditya Joshi, Cécile Paris, Shahpar Yakhchi, Alireza Jolfaei, Mehmet A. Orgun:
A dynamic deep trust prediction approach for online social networks. MoMM 2020: 11-19
[c34]
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Sam Khadivizand, Amin Beheshti, Fariborz Sobhanmanesh, Quan Z. Sheng, Elias Istanbouli, Steven Wood, Damon Pezaro:
Towards intelligent feature engineering for risk-based customer segmentation in banking. MoMM 2020: 74-83
[c33]
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Amin Beheshti, Vahid Moraveji Hashemi, Shahpar Yakhchi, Hamid Reza Motahari-Nezhad, Seyed Mohssen Ghafari, Jian Yang:
personality2vec: Enabling the Analysis of Behavioral Disorders in Social Networks. WSDM 2020: 825-828
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Amin Beheshti, Alireza Tabebordbar, Boualem Benatallah:
iStory: Intelligent Storytelling with Social Data. WWW (Companion Volume) 2020: 253-256
[i7]
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  - journals/corr/abs-2001-04825
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Shahpar Yakhchi, Amin Beheshti, Seyed Mohssen Ghafari, Mehmet A. Orgun:
Enabling the Analysis of Personality Aspects in Recommender Systems. CoRR abs/2001.04825 (2020)

2010 – 2019

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2019
[j9]
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Amin Beheshti, Boualem Benatallah, Alireza Tabebordbar, Hamid Reza Motahari-Nezhad, Moshe Chai Barukh, Reza Nouri:
DataSynapse: A Social Data Curation Foundry. Distributed Parallel Databases 37(3): 351-384 (2019)
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Seyed Mohssen Ghafari, Aditya Joshi, Amin Beheshti, Cécile Paris, Shahpar Yakhchi, Mehmet A. Orgun:
DCAT: A Deep Context-Aware Trust Prediction Approach for Online Social Networks. MoMM 2019: 20-27
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Amin Beheshti, Vahid Moraveji Hashemi, Shahpar Yakhchi:
Towards Context-Aware Social Behavioral Analytics. MoMM 2019: 28-35
[c29]
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Shahpar Yakhchi, Amin Beheshti, Seyed Mohssen Ghafari, Mehmet A. Orgun:
Enabling the Analysis of Personality Aspects in Recommender Systems. PACIS 2019: 143
[c28]
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Amin Beheshti, Boualem Benatallah, Quan Z. Sheng, Francesco Schiliro:
Intelligent Knowledge Lakes: The Age of Artificial Intelligence and Big Data. WISE Workshops 2019: 24-34
[c27]
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Alireza Tabebordbar, Amin Beheshti, Boualem Benatallah, Moshe Chai Barukh:
Adaptive Rule Adaptation in Unstructured and Dynamic Environments. WISE 2019: 326-340
[c26]
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Alireza Tabebordbar, Amin Beheshti, Boualem Benatallah:
ConceptMap: A Conceptual Approach for Formulating User Preferences in Large Information Spaces. WISE 2019: 779-794
2018
[j8]
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Omar Batarfi, Radwa El Shawi, Ayman G. Fayoumi, Reza Nouri, Amin Beheshti, Ahmed Barnawi, Sherif Sakr:
Correction To: Large scale graph processing systems: survey and an experimental evaluation. Clust. Comput. 21(2): 1455 (2018)
[j7]
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Amin Beheshti, Boualem Benatallah, Reza Nouri, Alireza Tabebordbar:
CoreKG: a Knowledge Lake Service. Proc. VLDB Endow. 11(12): 1942-1945 (2018)
[j6]
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Amin Beheshti, Boualem Benatallah, Hamid Reza Motahari-Nezhad:
ProcessAtlas: A scalable and extensible platform for business process analytics. Softw. Pract. Exp. 48(4): 842-866 (2018)
[c25]
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Roya Rastan, Hye-Young Paik, John Shepherd, Seung Hwan Ryu, Amin Beheshti:
TEXUS: Table Extraction System for PDF Documents. ADC 2018: 345-349
[c24]
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Usman Shahbaz, Amin Beheshti, Sadegh Nobari, Qiang Qu, Hye-Young Paik, Mehregan Mahdavi:
iRecruit: Towards Automating the Recruitment Process. ASSRI 2018: 139-152
[c23]
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Amin Beheshti, Francesco Schiliro, Samira Ghodratnama, Farhad Amouzgar, Boualem Benatallah, Jian Yang, Quan Z. Sheng, Fabio Casati, Hamid Reza Motahari-Nezhad:
iProcess: Enabling IoT Platforms in Data-Driven Knowledge-Intensive Processes. BPM (Forum) 2018: 108-126
[c22]
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Amin Beheshti, Kushal Vaghani, Boualem Benatallah, Alireza Tabebordbar:
CrowdCorrect: A Curation Pipeline for Social Data Cleansing and Curation. CAiSE Forum 2018: 24-38
[c21]
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Alireza Tabebordbar, Amin Beheshti:
Adaptive rule monitoring system. SE4COG@ICSE 2018: 45-51
[c20]
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Francesco Schiliro, Amin Beheshti, Samira Ghodratnama, Farhad Amouzgar, Boualem Benatallah, Jian Yang, Quan Z. Sheng, Fabio Casati, Hamid Reza Motahari-Nezhad:
iCOP: IoT-Enabled Policing Processes. ICSOC Workshops 2018: 447-452
[c19]
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Farhad Amouzgar, Amin Beheshti, Samira Ghodratnama, Boualem Benatallah, Jian Yang, Quan Z. Sheng:
iSheets: A Spreadsheet-Based Machine Learning Development Platform for Data-Driven Process Analytics. ICSOC Workshops 2018: 453-457
[c18]
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Seyed Mohssen Ghafari, Shahpar Yakhchi, Amin Beheshti, Mehmet A. Orgun:
SETTRUST: Social Exchange Theory Based Context-Aware Trust Prediction in Online Social Networks. QUAT@WISE 2018: 46-61
[c17]
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Shahpar Yakhchi, Seyed Mohssen Ghafari, Amin Beheshti:
CNR: Cross-network Recommendation Embedding User's Personality. QUAT@WISE 2018: 62-77
[c16]
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Seyed Mohssen Ghafari, Shahpar Yakhchi, Amin Beheshti, Mehmet A. Orgun:
Social Context-Aware Trust Prediction: Methods for Identifying Fake News. WISE (1) 2018: 161-177
[e1]
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Amin Beheshti, Mustafa Hashmi, Hai Dong, Wei Emma Zhang:
Service Research and Innovation - 5th and 6th Australasian Symposium, ASSRI 2015 and ASSRI 2017, Sydney, NSW, Australia, November 2-3, 2015, and October 19-20, 2017, Revised Selected Papers. Lecture Notes in Business Information Processing 234, Springer 2018, ISBN 978-3-319-76586-0 [contents]
2017
[j5]
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Amin Beheshti, Boualem Benatallah, Srikumar Venugopal, Seung Hwan Ryu, Hamid Reza Motahari-Nezhad, Wei Wang:
A systematic review and comparative analysis of cross-document coreference resolution methods and tools. Computing 99(4): 313-349 (2017)
[c15]
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Amin Beheshti, Boualem Benatallah, Reza Nouri, Van Munin Chhieng, HuangTao Xiong, Xu Zhao:
CoreDB: a Data Lake Service. CIKM 2017: 2451-2454
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Usama Salama, Lina Yao, Xianzhi Wang, Hye-Young Paik, Amin Beheshti:
Multi-Level Privacy-Preserving Access Control as a Service for Personal Healthcare Monitoring. ICWS 2017: 878-881
[c13]
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Amin Beheshti, Alireza Tabebordbar, Boualem Benatallah, Reza Nouri:
On Automating Basic Data Curation Tasks. WWW (Companion Volume) 2017: 165-169
2016
[b2]
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Amin Beheshti, Boualem Benatallah, Sherif Sakr, Daniela Grigori, Hamid Reza Motahari-Nezhad, Moshe Chai Barukh, Ahmed Gater, Seung Hwan Ryu:
Process Analytics - Concepts and Techniques for Querying and Analyzing Process Data. Springer 2016, ISBN 978-3-319-25036-6, pp. 1-178
[j4]
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Amin Beheshti, Boualem Benatallah, Hamid Reza Motahari-Nezhad:
Scalable graph-based OLAP analytics over process execution data. Distributed Parallel Databases 34(3): 379-423 (2016)
[c12]
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Amin Beheshti, Boualem Benatallah, Hamid Reza Motahari-Nezhad:
Galaxy: A Platform for Explorative Analysis of Open Data Sources. EDBT 2016: 640-643
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Amin Beheshti, Alireza Tabebordbar, Boualem Benatallah, Reza Nouri:
Data Curation APIs. CoRR abs/1612.03277 (2016)
2015
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Omar Batarfi, Radwa El Shawi, Ayman G. Fayoumi, Reza Nouri, Amin Beheshti, Ahmed Barnawi, Sherif Sakr:
Large scale graph processing systems: survey and an experimental evaluation. Clust. Comput. 18(3): 1189-1213 (2015)
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Mohammad Hammoud, Dania Abed Rabbou, Reza Nouri, Amin Beheshti, Sherif Sakr:
DREAM: Distributed RDF Engine with Adaptive Query Planner and Minimal Communication. Proc. VLDB Endow. 8(6): 654-665 (2015)
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Zakaria Maamar, Sherif Sakr, Ahmed Barnawi, Amin Beheshti:
A Framework of Enriching Business Processes Life-Cycle with Tagging Information. ADC 2015: 309-313
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  - conf/bigdata/SalihWBZ15
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Bilal Abu-Salih, Pornpit Wongthongtham, Amin Beheshti, Dengya Zhu:
A Preliminary Approach to Domain-Based Evaluation of Users' Trustworthiness in Online Social Networks. BigData Congress 2015: 460-466
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Bilal Abu-Salih, Pornpit Wongthongtham, Amin Beheshti, Behrang Zadjabbari:
Towards a Methodology for Social Business Intelligence in the Era of Big Social Data Incorporating Trust and Semantic Analysis. DaEng 2015: 519-527
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Yu-Jen John Sun, Moshe Chai Barukh, Boualem Benatallah, Amin Beheshti:
Scalable SaaS-Based Process Customization with CaseWalls. ICSOC 2015: 218-233
2014
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Mohammad Allahbakhsh, Aleksandar Ignjatovic, Boualem Benatallah, Amin Beheshti, Norman Foo, Elisa Bertino:
Representation and querying of unfair evaluations in social rating systems. Comput. Secur. 41: 68-88 (2014)
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Ahmed Barnawi, Omar Batarfi, Amin Beheshti, Radwa El Shawi, Ayman G. Fayoumi, Reza Nouri, Sherif Sakr:
On Characterizing the Performance of Distributed Graph Computation Platforms. TPCTC 2014: 29-43
2013
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Mohammad Allahbakhsh, Aleksandar Ignjatovic, Boualem Benatallah, Amin Beheshti, Elisa Bertino, Norman Foo:
Collusion Detection in Online Rating Systems. APWeb 2013: 196-207
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Amin Beheshti, Boualem Benatallah, Hamid R. Motahari Nezhad:
Enabling the Analysis of Cross-Cutting Aspects in Ad-Hoc Processes. CAiSE 2013: 51-67
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Amin Beheshti, Srikumar Venugopal, Seung Hwan Ryu, Boualem Benatallah, Wei Wang:
Big Data and Cross-Document Coreference Resolution: Current State and Future Opportunities. CoRR abs/1311.3987 (2013)
2012
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Amin Beheshti:
Organizing, querying, and analyzing ad-hoc processes' data. University of New South Wales, Sydney, Australia, 2012
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Mohammad Allahbakhsh, Aleksandar Ignjatovic, Boualem Benatallah, Amin Beheshti, Elisa Bertino, Norman Foo:
Reputation management in crowdsourcing systems. CollaborateCom 2012: 664-671
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Amin Beheshti, Boualem Benatallah, Hamid R. Motahari Nezhad, Mohammad Allahbakhsh:
A Framework and a Language for On-Line Analytical Processing on Graphs. WISE 2012: 213-227
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Mohammad Allahbakhsh, Aleksandar Ignjatovic, Boualem Benatallah, Amin Beheshti, Norman Foo, Elisa Bertino:
Detecting, Representing and Querying Collusion in Online Rating Systems. CoRR abs/1211.0963 (2012)
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Mohammad Allahbakhsh, Aleksandar Ignjatovic, Boualem Benatallah, Amin Beheshti, Norman Foo, Elisa Bertino:
An Analytic Approach to People Evaluation in Crowdsourcing Systems. CoRR abs/1211.3200 (2012)
[i2]
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Amin Beheshti, Hamid R. Motahari Nezhad, Boualem Benatallah:
Temporal Provenance Model (TPM): Model and Query Language. CoRR abs/1211.5009 (2012)
[i1]
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Amin Beheshti, Sherif Sakr, Boualem Benatallah, Hamid R. Motahari Nezhad:
Extending SPARQL to Support Entity Grouping and Path Queries. CoRR abs/1211.5817 (2012)
2011
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Amin Beheshti, Boualem Benatallah, Hamid R. Motahari Nezhad, Sherif Sakr:
A Query Language for Analyzing Business Processes Execution. BPM 2011: 281-297

2000 – 2009

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2007
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Amin Beheshti, Mohsen Sadighi Moshkenani:
Development of Grid resource discovery service based on semantic information. SpringSim (1) 2007: 141-148

Coauthor Index

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