Amir Hossein Payberah
Orcid: 0000-0002-2748-8929
According to our database1,
Amir Hossein Payberah
authored at least 56 papers
between 2010 and 2024.
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Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
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Bibliography
2024
IEEE Trans. Games, September, 2024
DeepAqua: Semantic segmentation of wetland water surfaces with SAR imagery using deep neural networks without manually annotated data.
Int. J. Appl. Earth Obs. Geoinformation, February, 2024
Proceedings of the 39th ACM/SIGAPP Symposium on Applied Computing, 2024
Proceedings of the Natural Language Processing and Information Systems, 2024
Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, 2024
2023
DeepAqua: Self-Supervised Semantic Segmentation of Wetlands from SAR Images using Knowledge Distillation.
CoRR, 2023
Graph Representation Learning with Graph Transformers in Neural Combinatorial Optimization.
Proceedings of the International Conference on Machine Learning and Applications, 2023
Using Machine Learning to Recommend Personalized Modular Treatments for Common Mental Health Disorders.
Proceedings of the IEEE International Conference on Digital Health, 2023
The Impact of Importance-Aware Dataset Partitioning on Data-Parallel Training of Deep Neural Networks.
Proceedings of the Distributed Applications and Interoperable Systems, 2023
Proceedings of the 47th IEEE Annual Computers, Software, and Applications Conference, 2023
Proceedings of the IEEE International Conference on Big Data, 2023
2022
Remote. Sens., 2022
Accelerate Model Parallel Training by Using Efficient Graph Traversal Order in Device Placement.
CoRR, 2022
Proceedings of the Swedish Artificial Intelligence Society Workshop, 2022
Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022
Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022
Proceedings of the IEEE Global Communications Conference, 2022
Accelerate Model Parallel Deep Learning Training Using Effective Graph Traversal Order in Device Placement.
Proceedings of the Distributed Applications and Interoperable Systems: 22nd IFIP WG 6.1 International Conference, 2022
Proceedings of the 46th IEEE Annual Computers, Software, and Applications Conferenc, 2022
Proceedings of the IEEE International Conference on Big Data, 2022
Proceedings of the IEEE International Conference on Big Data, 2022
Proceedings of the Workshop on Scientific Document Understanding co-located with 36th AAAI Conference on Artificial Inteligence, 2022
2021
Sensors, 2021
Conceptualization and scalable execution of big data workflows using domain-specific languages and software containers.
Internet Things, 2021
A Survey of Big Data Pipeline Orchestration Tools from the Perspective of the DataCloud Project.
Proceedings of the Supplementary Proceedings of the XXIII International Conference on Data Analytics and Management in Data Intensive Domains, 2021
Proceedings of the Natural Language Processing and Information Systems, 2021
Proceedings of the MEDES '21: Proceedings of the 13th International Conference on Management of Digital EcoSystems, Virtual Event, Tunisia, November 1, 2021
Proceedings of the 20th IEEE International Conference on Machine Learning and Applications, 2021
Proceedings of the EuroMLSys@EuroSys 2021, 2021
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Student Research Workshop, 2021
Proceedings of the 21st IEEE/ACM International Symposium on Cluster, 2021
2020
Deep learning for electronic health records: A comparative review of multiple deep neural architectures.
J. Biomed. Informatics, 2020
Proceedings of the DIDL'20: Proceedings of the Workshop on Distributed Infrastructures for Deep Learning, 2020
Proceedings of the IEEE International Conference on Parallel & Distributed Processing with Applications, 2020
Proceedings of the 19th IEEE International Conference on Machine Learning and Applications, 2020
Proceedings of the 19th IEEE International Conference on Machine Learning and Applications, 2020
Proceedings of the DistributedML@CoNEXT 2020: Proceedings of the 1st Workshop on Distributed Machine Learning, 2020
Proceedings of the IEEE Conference on Games, 2020
2018
Data Min. Knowl. Discov., 2018
2016
Proceedings of the 31st Annual ACM Symposium on Applied Computing, 2016
Proceedings of the 2016 IEEE International Congress on Big Data, San Francisco, CA, USA, June 27, 2016
2015
ACM Trans. Auton. Adapt. Syst., 2015
2014
Proceedings of the Distributed Applications and Interoperable Systems, 2014
2013
PhD thesis, 2013
Proceedings of the 7th IEEE International Conference on Self-Adaptive and Self-Organizing Systems, 2013
Proceedings of IEEE International Conference on Communications, 2013
Proceedings of the Global Information Infrastructure Symposium, 2013
2012
Proceedings of the 12th IEEE International Conference on Peer-to-Peer Computing, 2012
Proceedings of the 2012 IEEE 32nd International Conference on Distributed Computing Systems, 2012
2011
Proceedings of the 10th International Symposium on Parallel and Distributed Computing, 2011
Vitis: A Gossip-based Hybrid Overlay for Internet-scale Publish/Subscribe Enabling Rendezvous Routing in Unstructured Overlay Networks.
Proceedings of the 25th IEEE International Symposium on Parallel and Distributed Processing, 2011
Proceedings of the Distributed Applications and Interoperable Systems, 2011
Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011
2010
Sepidar: Incentivized Market-Based P2P Live-Streaming on the Gradient Overlay Network.
Proceedings of the 12th IEEE International Symposium on Multimedia, 2010
Proceedings of the Distributed Applications and Interoperable Systems, 2010