Amin Beheshti

ORCID

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 120

Top Venues

Publications

Amin Beheshti
Natural Language-Oriented Programming (NLOP): Towards Democratizing Software Creation. CoRR (2024)
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) (2024)
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) (2024)
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 (2024)
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 (2024)
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)
Nasrin Shabani, Amin Beheshti, Jia Wu, Maryam Khanian Najafabadi, Jin Foo, Alireza Jolfaei
GraphSUM: Scalable Graph Summarization for Efficient Question Answering. EDBT (2024)
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)
Yongzhe Jia, Xuyun Zhang, Amin Beheshti, Wanchun Dou
FedLPS: Heterogeneous Federated Learning for Multiple Tasks with Local Parameter Sharing. AAAI (2024)
Ambreen Hanif, Amin Beheshti, Xuyun Zhang, Steven Wood, Boualem Benatallah, EuJin Foo
EvidenceQuest: An Interactive Evidence Discovery System for Explainable Artificial Intelligence. WSDM (2024)
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 (2024)
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)
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) (2024)
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) (2024)
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 (2024)
Yongzhe Jia, Xuyun Zhang, Amin Beheshti, Wanchun Dou
FedLPS: Heterogeneous Federated Learning for Multiple Tasks with Local Parameter Sharing. CoRR (2024)
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 (2024)
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 (1) (2024)
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) (2024)
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) (2024)
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)
Guowei Zhang, Xuyun Zhang, Zhiyong Wang, Amin Beheshti
Multi-Granularity Entity Recognition based Sentence Ranking for Multi-Document Summarization. DSAA (2023)
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) (2023)
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 (2023)
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) (2023)
Samira Ghodratnama, Amin Beheshti, Mehrdad Zakershahrak
A Personalized Reinforcement Learning Summarization Service for Learning Structure from Unstructured Data. CoRR (2023)
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) (2023)
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 (2023)
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) (2023)
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)
Junyan Li, Xuyun Zhang, Haolong Xiang, Amin Beheshti
Federated Anomaly Detection with Isolation Forest for IoT Network Traffics. ICPADS (2023)
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) (2023)
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)
Anthony Shaw, Amin Beheshti
Measuring Potential Performance Gains of Python Web Applications with pyUpgradeSim. WWW (Companion Volume) (2023)
Haolong Xiang, Xuyun Zhang, Hongsheng Hu, Lianyong Qi, Wanchun Dou, Mark Dras, Amin Beheshti, Xiaolong Xu
OptIForest: Optimal Isolation Forest for Anomaly Detection. CoRR (2023)
Fariborz Sobhanmanesh, Amin Beheshti, Nicholas Nouri, Natalia Monje Chapparo, Sandya Raj, Richard A. George
A Cognitive Model for Technology Adoption. Algorithms 16 (3) (2023)
Nasrin Shabani, Jia Wu, Amin Beheshti, Jin Foo, Ambreen Hanif, Maryam Shahabikargar
A Survey on Graph Neural Networks for Graph Summarization. CoRR (2023)
Amin Beheshti
Empowering Generative AI with Knowledge Base 4.0: Towards Linking Analytical, Cognitive, and Generative Intelligence. ICWS (2023)
Kun He, Shunmei Meng, Qianmu Li, Xiao Liu, Amin Beheshti, Xiaoxiao Chi, Xuyun Zhang
Noise-Augmented Contrastive Learning for Sequential Recommendation. WISE (2023)
Helia Farhood, Samuel Müller, Amin Beheshti
Surface Area Estimation Using 3D Point Clouds and Delaunay Triangulation. ICR (2023)
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) (2023)
Nabi Rezvani, Amin Beheshti, Xuyun Zhang
A Contextualized Transformer-Based Method for Cyberbullying Detection. DSAA (2023)
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)
Haolong Xiang, Xuyun Zhang, Mark Dras, Amin Beheshti, Wanchun Dou, Xiaolong Xu
Deep Optimal Isolation Forest with Genetic Algorithm for Anomaly Detection. ICDM (2023)
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) (2022)
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)
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) (2022)
Xuexiong Luo, Jia Wu, Amin Beheshti, Jian Yang, Xiankun Zhang, Yuan Wang, Shan Xue
ComGA: Community-Aware Attributed Graph Anomaly Detection. WSDM (2022)
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 (2022)
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 (2022)
Abdulrahman Jalayer, Mohsen Kahani, Asef Pourmasoumi, Amin Beheshti
HAM-Net: Predictive Business Process Monitoring with a hierarchical attention mechanism. Knowl. Based Syst. 236 (2022)
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 (2022)
Rita Matulionyte, Paul Nolan, Farah Magrabi, Amin Beheshti
Should AI-enabled medical devices be explainable? Int. J. Law Inf. Technol. 30 (2) (2022)
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)
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 (2022)
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)
Ambreen Hanif, Amin Beheshti, Boualem Benatallah, Xuyun Zhang, Steven Wood
Evidence Based Pipeline for Explaining Artificial Intelligence Algorithms with Interactions. DSAA (2022)
Alireza Tabebordbar, Amin Beheshti, Nabi Rezvani, Mohsen Asadnia, Stephen Elbourn
Resolving Learners Misunderstandings Using an Adaptive Divide and Correct Technique. MoMM (2022)
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) (2022)
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)
Amin Beheshti
Knowledge Base 4.0: Using Crowdsourcing Services for Mimicking the Knowledge of Domain Experts. ICWS (2022)
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)
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 (2022)
Nabi Rezvani, Amin Beheshti
Attention-Based Context Boosted Cyberbullying Detection in Social Media. J. Data Intell. 2 (4) (2021)
Ali Dorri, Raja Jurdak, Amin Beheshti, Alistair Barros
Towards Scalable Blockchains Using Service-Oriented Architectures. ICSOC Workshops (2021)
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)
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)
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)
Zeinab Rouhollahi, Amin Beheshti, Salman Mousaeirad, Srinivasa Reddy Goluguri
Towards Proactive Financial Crime and Fraud Detectionthrough Artificial Intelligence and RegTech Technologies. iiWAS (2021)
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) (2021)
Samira Ghodratnama, Amin Beheshti, Mehrdad Zakershahrak, Fariborz Sobhanmanesh
Intelligent Narrative Summaries: From Indicative to Informative Summarization. Big Data Res. 26 (2021)
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) (2021)
Samira Ghodratnama, Mehrdad Zakershahrak, Amin Beheshti
Summary2vec: Learning Semantic Representation of Summaries for Healthcare Analytics. IJCNN (2021)
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) (2021)
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 (2021)
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) (2021)
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)
Jian Yang, Yongping Tang, Amin Beheshti
Design Methodology for Service-Based Data Product Sharing and Trading. Next-Gen Digital Services (2021)
Amin Beheshti, Vahid Moraveji Hashemi, Shuang Wang
Towards Predictive Analytics in Mental Health Care. IJCNN (2021)
Nouna Khandan, Amin Beheshti, Helia Farhood, Matineh Pooshideh, Mike Simpson, Nick Gatland
Towards an Intelligent Fuzzy-fusion Model for Identity Document Classification. iiWAS (2021)
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) (2021)
Amin Beheshti, Boualem Benatallah, Hamid Reza Motahari-Nezhad, Samira Ghodratnama, Farhad Amouzgar
A Query Language for Summarizing and Analyzing Business Process Data. CoRR (2021)
Francesco Schiliro, Nour Moustafa, Amin Beheshti
Cognitive Privacy: AI-enabled Privacy using EEG Signals in the Internet of Things. DependSys (2020)
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)
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 (2020)
Alireza Tabebordbar, Amin Beheshti, Boualem Benatallah, Moshe Chai Barukh
Feature-Based and Adaptive Rule Adaptation in Dynamic Environments. Data Sci. Eng. 5 (3) (2020)
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)
Samira Ghodratnama, Amin Beheshti, Mehrdad Zakershahrak, Fariborz Sobhanmanesh
Extractive Document Summarization Based on Dynamic Feature Space Mapping. IEEE Access 8 (2020)
Nabi Rezvani, Amin Beheshti, Alireza Tabebordbar
Linking textual and contextual features for intelligent cyberbullying detection in social media. MoMM (2020)
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 (2020)
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)
Abdulrahman Jalayer, Mohsen Kahani, Amin Beheshti, Asef Pourmasoumi, Hamid Reza Motahari-Nezhad
Attention Mechanism in Predictive Business Process Monitoring. EDOC (2020)
Amin Beheshti, Alireza Tabebordbar, Boualem Benatallah
iStory: Intelligent Storytelling with Social Data. WWW (Companion Volume) (2020)
Shahpar Yakhchi, Amin Beheshti, Seyed Mohssen Ghafari, Mehmet A. Orgun
Enabling the Analysis of Personality Aspects in Recommender Systems. CoRR (2020)
Amin Beheshti, Shahpar Yakhchi, Salman Mousaeirad, Seyed Mohssen Ghafari, Srinivasa Reddy Goluguri, Mohammad Amin Edrisi
Towards Cognitive Recommender Systems. Algorithms 13 (8) (2020)
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)
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)
Shahpar Yakhchi, Amin Beheshti, Seyed Mohssen Ghafari, Mehmet A. Orgun, Guanfeng Liu
Towards a Deep Attention-Based Sequential Recommender System. IEEE Access 8 (2020)
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 (2020)
Alireza Tabebordbar, Amin Beheshti, Boualem Benatallah
ConceptMap: A Conceptual Approach for Formulating User Preferences in Large Information Spaces. WISE (2019)

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Publication Activity (10 Years)

Top Topics

Top Venues

Amin Beheshti