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Seyed Amin Pouriyeh
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2020 – today
- 2024
- [j13]Yourong Chen, Yang Zhang, Yubo Zhuang, Kelei Miao, Seyedamin Pouriyeh, Meng Han:
Efficient and Secure Blockchain Consensus Algorithm for Heterogeneous Industrial Internet of Things Nodes Based on Double-DAG. IEEE Trans. Ind. Informatics 20(4): 6300-6312 (2024) - [j12]Gopi Krishna Jagarlamudi, Abbas Yazdinejad, Reza M. Parizi, Seyedamin Pouriyeh:
Exploring privacy measurement in federated learning. J. Supercomput. 80(8): 10511-10551 (2024) - [j11]Liang Zhao, Maria Valero, Seyedamin Pouriyeh, Fangyu Li, Lulu Guo, Zhu Han:
A Decentralized Communication-Efficient Federated Analytics Framework for Connected Vehicles. IEEE Trans. Veh. Technol. 73(7): 10856-10861 (2024) - [c21]Nasrin Dehbozorgi, Mourya Teja Kunuku, Seyedamin Pouriyeh:
Personalized Pedagogy Through a LLM-Based Recommender System. AIED Companion (2) 2024: 63-70 - [c20]Pranita Subhash Shedage, Seyedamin Pouriyeh, Reza M. Parizi, Meng Han, Giovanna Sannino, Nasrin Dehbozorgi:
Stress Detection Using Multimodal Physiological Signals With Machine Learning From Wearable Devices. ISCC 2024: 1-6 - 2023
- [c19]Fatemeh Mosaiyebzadeh, Seyedamin Pouriyeh, Reza M. Parizi, Meng Han, Daniel Macêdo Batista:
Intrusion Detection System for IoHT Devices using Federated Learning. INFOCOM Workshops 2023: 1-6 - [c18]Sricharan Donkada, Seyedamin Pouriyeh, Reza M. Parizi, Chloe Yixin Xie, Hossain Shahriar:
Early Heart Disease Detection Using Mel-Spectrograms and Deep Learning. ISCC 2023: 1-6 - [c17]Vineela Nalla, Seyedamin Pouriyeh, Reza M. Parizi, InChan Hwang, Beatrice Brown-Mulry, Linglin Zhang, Minjae Woo:
Influence of Convolutional Neural Network Depth on the Efficacy of Automated Breast Cancer Screening Systems. ISCC 2023: 1-4 - [c16]Fatemeh Mosaiyebzadeh, Seyedamin Pouriyeh, Reza M. Parizi, Nasrin Dehbozorgi, Mohsen Dorodchi, Daniel Macêdo Batista:
Exploring the Role of ChatGPT in Education: Applications and Challenges. SIGITE 2023: 84-89 - [i11]Rizwan Patan, Reza M. Parizi, Mohsen Dorodchi, Seyedamin Pouriyeh, Audrey Rorrer:
Blockchain Education: Current State, Limitations, Career Scope, Challenges, and Future Directions. CoRR abs/2301.07889 (2023) - [i10]Fatemeh Mosaiyebzadeh, Seyedamin Pouriyeh, Reza M. Parizi, Quan Z. Sheng, Meng Han, Liang Zhao, Giovanna Sannino, Daniel Macêdo Batista:
Privacy-Enhancing Technologies in Federated Learning for the Internet of Healthcare Things: A Survey. CoRR abs/2303.14544 (2023) - [i9]Sricharan Donkada, Seyedamin Pouriyeh, Reza M. Parizi, Meng Han, Nasrin Dehbozorgi, Nazmus Sakib, Quan Z. Sheng:
Uncovering Promises and Challenges of Federated Learning to Detect Cardiovascular Diseases: A Scoping Literature Review. CoRR abs/2308.13714 (2023) - 2022
- [j10]Zawar Hussain, Quan Z. Sheng, Wei Emma Zhang, Jorge Ortiz, Seyedamin Pouriyeh:
Non-invasive Techniques for Monitoring Different Aspects of Sleep: A Comprehensive Review. ACM Trans. Comput. Heal. 3(2): 24:1-24:26 (2022) - [j9]Viraaji Mothukuri, Prachi Khare, Reza M. Parizi, Seyedamin Pouriyeh, Ali Dehghantanha, Gautam Srivastava:
Federated-Learning-Based Anomaly Detection for IoT Security Attacks. IEEE Internet Things J. 9(4): 2545-2554 (2022) - [j8]Liang Zhao, Maria Valero, Seyedamin Pouriyeh, Lei Li, Quan Z. Sheng:
Communication-Efficient Semihierarchical Federated Analytics in IoT Networks. IEEE Internet Things J. 9(14): 12614-12627 (2022) - [j7]Viraaji Mothukuri, Reza M. Parizi, Seyedamin Pouriyeh, Ali Dehghantanha, Kim-Kwang Raymond Choo:
FabricFL: Blockchain-in-the-Loop Federated Learning for Trusted Decentralized Systems. IEEE Syst. J. 16(3): 3711-3722 (2022) - [c15]Viraaji Mothukuri, Reza M. Parizi, Seyedamin Pouriyeh, Afra Mashhadi:
CloudFL: A Zero-Touch Federated Learning Framework for Privacy-aware Sensor Cloud. ARES 2022: 142:1-142:8 - [c14]Rizwan Patan, Reza M. Parizi, Seyedamin Pouriyeh, Mohammad S. Khan, Amir H. Gandomi:
A Secured Certificateless Sign-encrypted Blockchain Communication for Intelligent Transport System. CNS 2022: 1-7 - 2021
- [j6]Dinesh Chowdary Attota, Viraaji Mothukuri, Reza M. Parizi, Seyedamin Pouriyeh:
An Ensemble Multi-View Federated Learning Intrusion Detection for IoT. IEEE Access 9: 117734-117745 (2021) - [j5]Viraaji Mothukuri, Reza M. Parizi, Seyedamin Pouriyeh, Yan Huang, Ali Dehghantanha, Gautam Srivastava:
A survey on security and privacy of federated learning. Future Gener. Comput. Syst. 115: 619-640 (2021) - [j4]Osama Shahid, Mohammad Nasajpour, Seyedamin Pouriyeh, Reza M. Parizi, Meng Han, Maria Valero, Fangyu Li, Mohammed Aledhari, Quan Z. Sheng:
Machine learning research towards combating COVID-19: Virus detection, spread prevention, and medical assistance. J. Biomed. Informatics 117: 103751 (2021) - [c13]Lindsay Schirato, Kennedy Makina, Dwayne Flanders, Seyedamin Pouriyeh, Hossain Shahriar:
COVID-19 Mortality Prediction Using Machine Learning Techniques. ICDH 2021: 197-202 - [c12]Osama Shahid, Viraaji Mothukuri, Seyedamin Pouriyeh, Reza M. Parizi, Hossain Shahriar:
Detecting Network Attacks using Federated Learning for IoT Devices. ICNP 2021: 1-6 - [c11]Stephanie Anderson, Suma Veeravenkatappa, Priyanka Pola, Seyedamin Pouriyeh, Meng Han:
Automatic Face Mask Detection Using Deep Learning. ISCC 2021: 1-4 - [c10]Bradley Durden, Mathew Shulman, Andy Reynolds, Thomas Phillips, Demontae Moore, Indya Andrews, Seyedamin Pouriyeh:
Using Machine Learning Techniques to Predict RT- PCR Results for COVID-19 Patients. ISCC 2021: 1-4 - [i8]Zawar Hussain, Quan Z. Sheng, Wei Emma Zhang, Jorge Ortiz, Seyedamin Pouriyeh:
A Review of the Non-Invasive Techniques for Monitoring Different Aspects of Sleep. CoRR abs/2104.12964 (2021) - [i7]Osama Shahid, Seyedamin Pouriyeh, Reza M. Parizi, Quan Z. Sheng, Gautam Srivastava, Liang Zhao:
Communication Efficiency in Federated Learning: Achievements and Challenges. CoRR abs/2107.10996 (2021) - 2020
- [j3]Mohammad Nasajpour, Seyedamin Pouriyeh, Reza M. Parizi, Mohsen Dorodchi, Maria Valero, Hamid R. Arabnia:
Internet of Things for Current COVID-19 and Future Pandemics: an Exploratory Study. J. Heal. Informatics Res. 4(4): 325-364 (2020) - [c9]Jhanvi Devangbhai Vyas, Meng Han, Lin Li, Seyedamin Pouriyeh, Jing Selena He:
Integrating Blockchain Technology into Healthcare. ACM Southeast Regional Conference 2020: 197-203 - [i6]Mohammad Nasajpour, Seyedamin Pouriyeh, Reza M. Parizi, Mohsen Dorodchi, Maria Valero, Hamid R. Arabnia:
Internet of Things for Current COVID-19 and Future Pandemics: An Exploratory Study. CoRR abs/2007.11147 (2020) - [i5]Osama Shahid, Mohammad Nasajpour, Seyedamin Pouriyeh, Reza M. Parizi, Meng Han, Maria Valero, Fangyu Li, Mohammed Aledhari, Quan Z. Sheng:
Machine Learning Research Towards Combating COVID-19: Virus Detection, Spread Prevention, and Medical Assistance. CoRR abs/2010.07036 (2020)
2010 – 2019
- 2019
- [j2]Seyedamin Pouriyeh, Mehdi Allahyari, Qingxia Liu, Gong Cheng, Hamid Reza Arabnia, Maurizio Atzori, Farid Ghareh Mohammadi, Krys J. Kochut:
Ontology Summarization: Graph-Based Methods and Beyond. Int. J. Semantic Comput. 13(2): 259-283 (2019) - [j1]Mehdi Allahyari, Seyedamin Pouriyeh, Krys J. Kochut:
Combining semantic graph and probabilistic topic models for discovering coherent topics. Web Intell. 17(4): 365-379 (2019) - [c8]Seyedamin Pouriyeh, Mehdi Allahyari, Gong Cheng, Hamid Reza Arabnia, Krys J. Kochut, Maurizio Atzori:
R-LDA: Profiling RDF Datasets Using Knowledge-Based Topic Modeling. ICSC 2019: 146-149 - 2018
- [c7]Seyedamin Pouriyeh, Mehdi Allahyari, Qingxia Liu, Gong Cheng, Hamid Reza Arabnia, Maurizio Atzori, Krys J. Kochut:
Graph-Based Methods for Ontology Summarization: A Survey. AIKE 2018: 85-92 - [c6]Richard Price, Lakshmish Ramaswamy, Seyedamin Pouriyeh:
Efficient Processing of Range Queries over Distributed Relational Databases. IRI 2018: 331-337 - [c5]Seyed Amin Pouriyeh, Mehdi Allahyari, Krys J. Kochut, Gong Cheng, Hamid R. Arabnia:
Combining Word Embedding and Knowledge-Based Topic Modeling for Entity Summarization. ICSC 2018: 252-255 - [i4]Seyed Amin Pouriyeh, Mehdi Allahyari, Krys J. Kochut, Hamid R. Arabnia:
A Comprehensive Survey of Ontology Summarization: Measures and Methods. CoRR abs/1801.01937 (2018) - [i3]Seyed Amin Pouriyeh, Mehdi Allahyari, Qingxia Liu, Gong Cheng, Hamid Reza Arabnia, Yuzhong Qu, Krys J. Kochut:
Graph-based Ontology Summarization: A Survey. CoRR abs/1805.06051 (2018) - 2017
- [c4]Seyed Amin Pouriyeh, Mehdi Allahyari, Krys J. Kochut, Gong Cheng, Hamid R. Arabnia:
ES-LDA: Entity Summarization using Knowledge-based Topic Modeling. IJCNLP(1) 2017: 316-325 - [c3]Seyed Amin Pouriyeh, Sara Vahid, Giovanna Sannino, Giuseppe De Pietro, Hamid R. Arabnia, Juan B. Gutierrez:
A comprehensive investigation and comparison of Machine Learning Techniques in the domain of heart disease. ISCC 2017: 204-207 - [i2]Mehdi Allahyari, Seyed Amin Pouriyeh, Mehdi Assefi, Saeid Safaei, Elizabeth D. Trippe, Juan B. Gutierrez, Krys J. Kochut:
Text Summarization Techniques: A Brief Survey. CoRR abs/1707.02268 (2017) - [i1]Mehdi Allahyari, Seyed Amin Pouriyeh, Mehdi Assefi, Saied Safaei, Elizabeth D. Trippe, Juan B. Gutierrez, Krys J. Kochut:
A Brief Survey of Text Mining: Classification, Clustering and Extraction Techniques. CoRR abs/1707.02919 (2017) - 2010
- [c2]Seyed Amin Pouriyeh, Mahmood Doroodchi, M. R. Rezaeinejad:
Secure Mobile Approaches Using Web Services. SWWS 2010: 75-78
2000 – 2009
- 2009
- [c1]Seyed Amin Pouriyeh, Mahmood Doroodchi:
Secure SMS Banking Based On Web Services. SWWS 2009: 79-83
Coauthor Index
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last updated on 2024-11-07 20:32 CET by the dblp team
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