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Amir H. Payberah
Amir H. Payberah
Associate Professor of Computer Science, KTH, Sweden
Adresse e-mail validée de kth.se - Page d'accueil
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Deep learning for electronic health records: A comparative review of multiple deep neural architectures
JRA Solares, FED Raimondi, Y Zhu, F Rahimian, D Canoy, J Tran, ...
Journal of biomedical informatics 101, 103337, 2020
1942020
Ja-be-ja: A distributed algorithm for balanced graph partitioning
F Rahimian, AH Payberah, S Girdzijauskas, M Jelasity, S Haridi
2013 IEEE 7th International Conference on Self-Adaptive and Self-Organizing …, 2013
1322013
Predicting the risk of emergency admission with machine learning: Development and validation using linked electronic health records
F Rahimian, G Salimi-Khorshidi, AH Payberah, J Tran, R Ayala Solares, ...
PLoS medicine 15 (11), e1002695, 2018
1262018
Clive: Cloud-assisted p2p live streaming
AH Payberah, H Kavalionak, V Kumaresan, A Montresor, S Haridi
2012 IEEE 12th International Conference on Peer-to-Peer Computing (P2P), 79-90, 2012
1042012
Vitis: A gossip-based hybrid overlay for internet-scale publish/subscribe enabling rendezvous routing in unstructured overlay networks
F Rahimian, S Girdzijauskas, AH Payberah, S Haridi
2011 IEEE International Parallel & Distributed Processing Symposium, 746-757, 2011
852011
Distributed vertex-cut partitioning
F Rahimian, AH Payberah, S Girdzijauskas, S Haridi
Distributed Applications and Interoperable Systems: 14th IFIP WG 6.1 …, 2014
682014
A distributed algorithm for large-scale graph partitioning
F Rahimian, AH Payberah, S Girdzijauskas, M Jelasity, S Haridi
ACM Transactions on Autonomous and Adaptive Systems (TAAS) 10 (2), 1-24, 2015
502015
AutoAblation: Automated Parallel Ablation Studies for Deep Learning
S Sheikholeslami, M Meister, T Wang, AH Payberah, V Vlassov, ...
Workshop on Machine Learning and Systems (EuroMLSys), co-located with EuroSys, 2021
402021
Boosting vertex-cut partitioning for streaming graphs
HP Sajjad, AH Payberah, F Rahimian, V Vlassov, S Haridi
2016 IEEE International Congress on Big Data (BigData Congress), 1-8, 2016
382016
gradienTv: Market-Based P2P Live Media Streaming on the Gradient Overlay
AH Payberah, J Dowling, F Rahimian, S Haridi
Distributed Applications and Interoperable Systems: 10th IFIP WG 6.1 …, 2010
382010
Supporting cloud deployment in the Guifi. net community network
J Jiménez, R Baig, P Escrich, AM Khan, F Freitag, L Navarro, ...
Global Information Infrastructure Symposium-GIIS 2013, 1-3, 2013
372013
Sepidar: Incentivized market-based p2p live-streaming on the gradient overlay network
AH Payberah, F Rahimian, S Haridi, J Dowling
2010 IEEE International Symposium on Multimedia, 1-8, 2010
352010
Glive: The gradient overlay as a market maker for mesh-based p2p live streaming
AH Payberah, J Dowling, S Haridi
2011 10th International Symposium on Parallel and Distributed Computing, 153-162, 2011
292011
An adaptive algorithm for anomaly and novelty detection in evolving data streams
MR Bouguelia, S Nowaczyk, AH Payberah
Data mining and knowledge discovery 32 (6), 1597-1633, 2018
262018
Gozar: NAT-Friendly Peer Sampling with One-Hop Distributed NAT Traversal
AH Payberah, J Dowling, S Haridi
Distributed Applications and Interoperable Systems: 11th IFIP WG 6.1 …, 2011
232011
Shuffling with a croupier: Nat-aware peer-sampling
J Dowling, AH Payberah
2012 IEEE 32nd International Conference on Distributed Computing Systems …, 2012
222012
Conceptualization and scalable execution of big data workflows using domain-specific languages and software containers
N Nikolov, YD Dessalk, AQ Khan, A Soylu, M Matskin, AH Payberah, ...
Internet of Things 16, 100440, 2021
202021
Distributed optimization of P2P live streaming overlays
AH Payberah, J Dowling, F Rahimain, S Haridi
Computing 94, 621-647, 2012
182012
Siamese Neural Networks for Detecting Complementary Products
M Angelovska, S Sheikholeslami, B Dunn, AH Payberah
EACL Student Research Workshop (SRW), 2021
162021
Maggy: Scalable Asynchronous Parallel Hyperparameter Search
M Meister, S Sheikholeslami, AH Payberah, V Vlassov, J Dowling
Proceedings of the 1st Workshop on Distributed Machine Learning …, 2020
122020
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