Amir Hossein Payberah

According to our database, Amir Hossein Payberah authored at least 52 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

DeepAqua: Semantic segmentation of wetland water surfaces with SAR imagery using deep neural networks without manually annotated data.

Francisco J. Peña, Clara Hübinger, Amir Hossein Payberah, Fernando Jaramillo

Int. J. Appl. Earth Obs. Geoinformation, February, 2024

2023

DeepAqua: Self-Supervised Semantic Segmentation of Wetlands from SAR Images using Knowledge Distillation.

Francisco J. Peña, Clara Hübinger, Amir Hossein Payberah, Fernando Jaramillo

CoRR, 2023

Graph Representation Learning with Graph Transformers in Neural Combinatorial Optimization.

Tianze Wang, Amir Hossein Payberah, Vladimir Vlassov

Proceedings of the International Conference on Machine Learning and Applications, 2023

Using Machine Learning to Recommend Personalized Modular Treatments for Common Mental Health Disorders.

Fabian Schmidt, Karin Hammerfald, Henrik Haaland Jahren, Ole André Solbakken, Amir Hossein Payberah, Vladimir Vlassov

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.

Sina Sheikholeslami, Amir Hossein Payberah, Tianze Wang, Jim Dowling, Vladimir Vlassov

Proceedings of the Distributed Applications and Interoperable Systems, 2023

ContrastNER: Contrastive-based Prompt Tuning for Few-shot NER.

Amirhossein Layegh, Amir Hossein Payberah, Ahmet Soylu, Dumitru Roman, Mihhail Matskin

Proceedings of the 47th IEEE Annual Computers, Software, and Applications Conference, 2023

TRANSQLATION: TRANsformer-based SQL RecommendATION.

Shirin Tahmasebi, Amir Hossein Payberah, Ahmet Soylu, Dumitru Roman, Mihhail Matskin

Proceedings of the IEEE International Conference on Big Data, 2023

2022

Scalable Artificial Intelligence for Earth Observation Data Using Hopsworks.

Desta Haileselassie Hagos, Theofilos Kakantousis, Sina Sheikholeslami, Tianze Wang, Vladimir Vlassov, Amir Hossein Payberah, Moritz Meister, Robin Andersson, Jim Dowling

Remote. Sens., 2022

Accelerate Model Parallel Training by Using Efficient Graph Traversal Order in Device Placement.

Tianze Wang, Amir Hossein Payberah, Desta Haileselassie Hagos, Vladimir Vlassov

CoRR, 2022

Siambert: Siamese Bert-based Code Search.

Francisco J. Peña, Angel Luis Gonzalez, Sepideh Pashami, Ahmad Al-Shishtawy, Amir Hossein Payberah

Proceedings of the Swedish Artificial Intelligence Society Workshop, 2022

TranSQL: A Transformer-based Model for Classifying SQL Queries.

Shirin Tahmasebi, Amir Hossein Payberah, Ahmet Soylu, Dumitru Roman, Mihhail Matskin

Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022

CandyRL: A Hybrid Reinforcement Learning Model for Gameplay.

Sara Karimi, Sahar Asadi, Francesco Lorenzo, Amir Hossein Payberah

Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022

IL-GAN: Rare Sample Generation via Incremental Learning in GANs.

Jón R. Baldvinsson, Milad Ganjalizadeh, Abdulrahman Alabbasi, Mårten Björkman, Amir Hossein Payberah

Proceedings of the IEEE Global Communications Conference, 2022

Accelerate Model Parallel Deep Learning Training Using Effective Graph Traversal Order in Device Placement.

Tianze Wang, Amir Hossein Payberah, Desta Haileselassie Hagos, Vladimir Vlassov

Proceedings of the Distributed Applications and Interoperable Systems: 22nd IFIP WG 6.1 International Conference, 2022

Dataclouddsl: Textual and Visual Presentation of Big Data Pipelines.

Shirin Tahmasebi, Amirhossein Layegh, Nikolay Nikolov, Amir Hossein Payberah, Khoa Dinh, Vlado Mitrovic, Dumitru Roman, Mihhail Matskin

Proceedings of the 46th IEEE Annual Computers, Software, and Applications Conferenc, 2022

Node Context Selection in Transformer-Based Graph Representation Learning Models.

Tianze Wang, Amir Hossein Payberah, Vladimir Vlassov

Proceedings of the IEEE International Conference on Big Data, 2022

Fine-Tuning BERT-based Language Models for Duplicate Trouble Report Retrieval.

Nathan Bosch, Serveh Shalmashi, Forough Yaghoubi, Henrik Holm, Fitsum Gaim, Amir Hossein Payberah

Proceedings of the IEEE International Conference on Big Data, 2022

BERTicsson: A Recommender System For Troubleshooting.

Nuria Marzo I Grimalt, Serveh Shalmashi, Forough Yaghoubi, Leif Jonsson, Amir Hossein Payberah

Proceedings of the Workshop on Scientific Document Understanding co-located with 36th AAAI Conference on Artificial Inteligence, 2022

2021

Big Data Workflows: Locality-Aware Orchestration Using Software Containers.

Andrei-Alin Corodescu, Nikolay Nikolov, Akif Quddus Khan, Ahmet Soylu, Mihhail Matskin, Amir Hossein Payberah, Dumitru Roman

Sensors, 2021

Conceptualization and scalable execution of big data workflows using domain-specific languages and software containers.

Nikolay Nikolov, Yared Dejene Dessalk, Akif Quddus Khan, Ahmet Soylu, Mihhail Matskin, Amir Hossein Payberah, Dumitru Roman

Internet Things, 2021

A Survey of Big Data Pipeline Orchestration Tools from the Perspective of the DataCloud Project.

Mihhail Matskin, Shirin Tahmasebi, Amirhossein Layegh, Amir Hossein Payberah, Aleena Thomas, Nikolay Nikolov, Dumitru Roman

Proceedings of the Supplementary Proceedings of the XXIII International Conference on Data Analytics and Management in Data Intensive Domains, 2021

Cross-Domain Transfer of Generative Explanations Using Text-to-Text Models.

Karl Fredrik Erliksson, Anders Arpteg, Mihhail Matskin, Amir Hossein Payberah

Proceedings of the Natural Language Processing and Information Systems, 2021

Locality-Aware Workflow Orchestration for Big Data.

Andrei-Alin Corodescu, Nikolay Nikolov, Akif Quddus Khan, Ahmet Soylu, Mihhail Matskin, Amir Hossein Payberah, Dumitru Roman

Proceedings of the MEDES '21: Proceedings of the 13th International Conference on Management of Digital EcoSystems, Virtual Event, Tunisia, November 1, 2021

COCLUBERT: Clustering Machine Learning Source Code.

Marcus Hägglund, Francisco J. Peña, Sepideh Pashami, Ahmad Al-Shishtawy, Amir Hossein Payberah

Proceedings of the 20th IEEE International Conference on Machine Learning and Applications, 2021

AutoAblation: Automated Parallel Ablation Studies for Deep Learning.

Sina Sheikholeslami, Moritz Meister, Tianze Wang, Amir Hossein Payberah, Vladimir Vlassov, Jim Dowling

Proceedings of the EuroMLSys@EuroSys 2021, 2021

Siamese Neural Networks for Detecting Complementary Products.

Marina Angelovska, Sina Sheikholeslami, Bas Dunn, Amir Hossein Payberah

Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Student Research Workshop, 2021

IMITA: Imitation Learning for Generalizing Cloud Orchestration.

Kamal Hakimzadeh, Patrick K. Nicholson, Diego Lugones, Amir Hossein Payberah

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.

José Roberto Ayala Solares, Francesca Elisa Diletta Raimondi, Yajie Zhu, Fatemeh Rahimian, Dexter Canoy, Jenny Tran, Ana Catarina Pinho Gomes, Amir Hossein Payberah, Mariagrazia Zottoli, Milad Nazarzadeh, Nathalie Conrad, Kazem Rahimi, Gholamreza Salimi Khorshidi

J. Biomed. Informatics, 2020

Graph Representation Matters in Device Placement.

Milko Mitropolitsky, Zainab Abbas, Amir Hossein Payberah

Proceedings of the DIDL'20: Proceedings of the Workshop on Distributed Infrastructures for Deep Learning, 2020

Framework-Agnostic Optimization of Repeated Skewed Joins at Massive Scale.

Andrea Nardelli, Vladimir Vlassov, Amir Hossein Payberah

Proceedings of the IEEE International Conference on Parallel & Distributed Processing with Applications, 2020

CONVJSSP: Convolutional Learning for Job-Shop Scheduling Problems.

Tianze Wang, Amir Hossein Payberah, Vladimir Vlassov

Proceedings of the 19th IEEE International Conference on Machine Learning and Applications, 2020

MarioDAgger: A Time and Space Efficient Autonomous Driver.

Farzad Kamrani, Andreas Elers, Mika Cohen, Amir Hossein Payberah

Proceedings of the 19th IEEE International Conference on Machine Learning and Applications, 2020

Maggy: Scalable Asynchronous Parallel Hyperparameter Search.

Moritz Meister, Sina Sheikholeslami, Amir Hossein Payberah, Vladimir Vlassov, Jim Dowling

Proceedings of the DistributedML@CoNEXT 2020: Proceedings of the 1st Workshop on Distributed Machine Learning, 2020

Use All Your Skills, Not Only The Most Popular Ones.

Francesco Lorenzo, Sahar Asadi, Alice Karnsund, Lele Cao, Tianze Wang, Amir Hossein Payberah

Proceedings of the IEEE Conference on Games, 2020

2018

An adaptive algorithm for anomaly and novelty detection in evolving data streams.

Mohamed-Rafik Bouguelia, Slawomir Nowaczyk, Amir Hossein Payberah

Data Min. Knowl. Discov., 2018

2016

NATCloud: cloud-assisted NAT-traversal service.

Hanna Kavalionak, Amir Hossein Payberah, Alberto Montresor, Jim Dowling

Proceedings of the 31st Annual ACM Symposium on Applied Computing, 2016

Boosting Vertex-Cut Partitioning for Streaming Graphs.

Hooman Peiro Sajjad, Amir Hossein Payberah, Fatemeh Rahimian, Vladimir Vlassov, Seif Haridi

Proceedings of the 2016 IEEE International Congress on Big Data, San Francisco, CA, USA, June 27, 2016

2015

A Distributed Algorithm for Large-Scale Graph Partitioning.

Fatemeh Rahimian, Amir Hossein Payberah, Sarunas Girdzijauskas, Márk Jelasity, Seif Haridi

ACM Trans. Auton. Adapt. Syst., 2015

2014

Distributed Vertex-Cut Partitioning.

Fatemeh Rahimian, Amir Hossein Payberah, Sarunas Girdzijauskas, Seif Haridi

Proceedings of the Distributed Applications and Interoperable Systems, 2014

2013

Live Streaming in P2P and Hybrid P2P-Cloud Environments for the Open Internet.

Amir Hossein Payberah

PhD thesis, 2013

JA-BE-JA: A Distributed Algorithm for Balanced Graph Partitioning.

Fatemeh Rahimian, Amir Hossein Payberah, Sarunas Girdzijauskas, Márk Jelasity, Seif Haridi

Proceedings of the 7th IEEE International Conference on Self-Adaptive and Self-Organizing Systems, 2013

Lightweight gossip-based distribution estimation.

Amir Hossein Payberah, Hanna Kavalionak, Alberto Montresor, Jim Dowling, Seif Haridi

Proceedings of IEEE International Conference on Communications, 2013

Supporting cloud deployment in the Guifi.net community network.

Javi Jimenez, Roger Baig, Pau Escrich Garcia, Amin M. Khan, Felix Freitag, Leandro Navarro, Ermanno Pietrosemoli, Marco Zennaro, Amir Hossein Payberah, Vladimir Vlassov

Proceedings of the Global Information Infrastructure Symposium, 2013

2012

Distributed optimization of P2P live streaming overlays.

Amir Hossein Payberah, Jim Dowling, Fatemeh Rahimian, Seif Haridi

Computing, 2012

CLive: Cloud-assisted P2P live streaming.

Amir Hossein Payberah, Hanna Kavalionak, Vimalkumar Kumaresan, Alberto Montresor, Seif Haridi

Proceedings of the 12th IEEE International Conference on Peer-to-Peer Computing, 2012

Shuffling with a Croupier: Nat-Aware Peer-Sampling.

Jim Dowling, Amir Hossein Payberah

Proceedings of the 2012 IEEE 32nd International Conference on Distributed Computing Systems, 2012

2011

GLive: The Gradient Overlay as a Market Maker for Mesh-Based P2P Live Streaming.

Amir Hossein Payberah, Jim Dowling, Seif Haridi

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.

Fatemeh Rahimian, Sarunas Girdzijauskas, Amir Hossein Payberah, Seif Haridi

Proceedings of the 25th IEEE International Symposium on Parallel and Distributed Processing, 2011

<i>Gozar</i>: NAT-Friendly Peer Sampling with One-Hop Distributed NAT Traversal.

Amir Hossein Payberah, Jim Dowling, Seif Haridi

Proceedings of the Distributed Applications and Interoperable Systems, 2011

Converging an overlay network to a Gradient topology.

Håkan Terelius, Guodong Shi, Jim Dowling, Amir Hossein Payberah, Ather Gattami, Karl Henrik Johansson

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.

Amir Hossein Payberah, Fatemeh Rahimian, Seif Haridi, Jim Dowling

Proceedings of the 12th IEEE International Symposium on Multimedia, 2010

<i>gradienTv</i>: Market-Based P2P Live Media Streaming on the Gradient Overlay.

Amir Hossein Payberah, Jim Dowling, Fatemeh Rahimian, Seif Haridi

Proceedings of the Distributed Applications and Interoperable Systems, 2010