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ORCIDAmir Hossein Payberah
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2020 – today
- 2024
[j9]Francisco J. Peña
, Clara Hübinger, Amir Hossein Payberah, Fernando Jaramillo:
DeepAqua: Semantic segmentation of wetland water surfaces with SAR imagery using deep neural networks without manually annotated data. Int. J. Appl. Earth Obs. Geoinformation 126: 103624 (2024)- [j8]Sara Karimi, Sahar Asadi, Amir Hossein Payberah:
BaziGooshi: A Hybrid Model of Reinforcement Learning for Generalization in Gameplay. IEEE Trans. Games 16(3): 722-734 (2024) - [c44]Sara Karimi, Sahar Asadi, Amir Hossein Payberah:
SCORE: Skill-Conditioned Online Reinforcement Learning. AIIDE 2024: 189-198 - [c43]Amirhossein Layegh, Amir Hossein Payberah, Mihhail Matskin:
REA: Refine-Estimate-Answer Prompting for Zero-Shot Relation Extraction. NLDB (1) 2024: 301-316 - [c42]Amirhossein Layegh, Amir Hossein Payberah, Ahmet Soylu, Dumitru Roman, Mihhail Matskin:
Wiki-based Prompts for Enhancing Relation Extraction using Language Models. SAC 2024: 731-740 - 2023
- [c41]Shirin Tahmasebi, Amir Hossein Payberah, Ahmet Soylu, Dumitru Roman, Mihhail Matskin:
TRANSQLATION: TRANsformer-based SQL RecommendATION. IEEE Big Data 2023: 4703-4711 - [c40]Amirhossein Layegh, Amir Hossein Payberah, Ahmet Soylu, Dumitru Roman, Mihhail Matskin:
ContrastNER: Contrastive-based Prompt Tuning for Few-shot NER. COMPSAC 2023: 241-249 - [c39]Sina Sheikholeslami, Amir Hossein Payberah, Tianze Wang, Jim Dowling, Vladimir Vlassov:
The Impact of Importance-Aware Dataset Partitioning on Data-Parallel Training of Deep Neural Networks. DAIS 2023: 74-89 - [c38]Fabian Schmidt, Karin Hammerfald, Henrik Haaland Jahren, Ole André Solbakken, Amir Hossein Payberah, Vladimir Vlassov:
Using Machine Learning to Recommend Personalized Modular Treatments for Common Mental Health Disorders. ICDH 2023: 150-157 - [c37]Tianze Wang, Amir Hossein Payberah, Vladimir Vlassov:
Graph Representation Learning with Graph Transformers in Neural Combinatorial Optimization. ICMLA 2023: 488-495 - [i4]Francisco J. Peña, Clara Hübinger, Amir Hossein Payberah, Fernando Jaramillo:
DeepAqua: Self-Supervised Semantic Segmentation of Wetlands from SAR Images using Knowledge Distillation. CoRR abs/2305.01698 (2023) - [i3]Amirhossein Layegh, Amir Hossein Payberah, Ahmet Soylu, Dumitru Roman, Mihhail Matskin:
ContrastNER: Contrastive-based Prompt Tuning for Few-shot NER. CoRR abs/2305.17951 (2023) - 2022
- [j7]Desta Haileselassie Hagos, Theofilos Kakantousis, Sina Sheikholeslami, Tianze Wang, Vladimir Vlassov, Amir Hossein Payberah, Moritz Meister, Robin Andersson, Jim Dowling:
Scalable Artificial Intelligence for Earth Observation Data Using Hopsworks. Remote. Sens. 14(8): 1889 (2022) - [c36]Nuria Marzo I Grimalt, Serveh Shalmashi, Forough Yaghoubi, Leif Jonsson, Amir Hossein Payberah:
BERTicsson: A Recommender System For Troubleshooting. SDU@AAAI 2022 - [c35]Tianze Wang, Amir Hossein Payberah, Vladimir Vlassov:
Node Context Selection in Transformer-Based Graph Representation Learning Models. IEEE Big Data 2022: 4625-4634 - [c34]Nathan Bosch, Serveh Shalmashi, Forough Yaghoubi, Henrik Holm, Fitsum Gaim, Amir Hossein Payberah:
Fine-Tuning BERT-based Language Models for Duplicate Trouble Report Retrieval. IEEE Big Data 2022: 4737-4745 - [c33]Shirin Tahmasebi, Amirhossein Layegh, Nikolay Nikolov, Amir Hossein Payberah, Khoa Dinh, Vlado Mitrovic, Dumitru Roman, Mihhail Matskin:
Dataclouddsl: Textual and Visual Presentation of Big Data Pipelines. COMPSAC 2022: 1165-1171 - [c32]Tianze Wang, Amir Hossein Payberah, Desta Haileselassie Hagos, Vladimir Vlassov:
Accelerate Model Parallel Deep Learning Training Using Effective Graph Traversal Order in Device Placement. DAIS 2022: 114-130 - [c31]Jón R. Baldvinsson, Milad Ganjalizadeh, Abdulrahman Alabbasi, Mårten Björkman, Amir Hossein Payberah:
IL-GAN: Rare Sample Generation via Incremental Learning in GANs. GLOBECOM 2022: 621-626 - [c30]Sara Karimi, Sahar Asadi, Francesco Lorenzo, Amir Hossein Payberah:
CandyRL: A Hybrid Reinforcement Learning Model for Gameplay. ICMLA 2022: 567-572 - [c29]Shirin Tahmasebi, Amir Hossein Payberah, Ahmet Soylu, Dumitru Roman, Mihhail Matskin:
TranSQL: A Transformer-based Model for Classifying SQL Queries. ICMLA 2022: 788-793 - [c28]Francisco J. Peña, Angel Luis Gonzalez, Sepideh Pashami, Ahmad Al-Shishtawy, Amir Hossein Payberah:
Siambert: Siamese Bert-based Code Search. SAIS 2022: 1-7 - [i2]Tianze Wang, Amir Hossein Payberah, Desta Haileselassie Hagos, Vladimir Vlassov:
Accelerate Model Parallel Training by Using Efficient Graph Traversal Order in Device Placement. CoRR abs/2201.09676 (2022) - 2021
- [j6]Nikolay Nikolov, Yared Dejene Dessalk, Akif Quddus Khan, Ahmet Soylu, Mihhail Matskin, Amir Hossein Payberah, Dumitru Roman:
Conceptualization and scalable execution of big data workflows using domain-specific languages and software containers. Internet Things 16: 100440 (2021) - [j5]Andrei-Alin Corodescu, Nikolay Nikolov, Akif Quddus Khan, Ahmet Soylu, Mihhail Matskin, Amir Hossein Payberah, Dumitru Roman:
Big Data Workflows: Locality-Aware Orchestration Using Software Containers. Sensors 21(24): 8212 (2021) - [c27]Kamal Hakimzadeh, Patrick K. Nicholson, Diego Lugones, Amir Hossein Payberah:
IMITA: Imitation Learning for Generalizing Cloud Orchestration. CCGRID 2021: 237-246 - [c26]Marina Angelovska, Sina Sheikholeslami, Bas Dunn, Amir Hossein Payberah:
Siamese Neural Networks for Detecting Complementary Products. EACL (Student Research Workshop) 2021: 65-70 - [c25]Sina Sheikholeslami, Moritz Meister, Tianze Wang, Amir Hossein Payberah, Vladimir Vlassov, Jim Dowling:
AutoAblation: Automated Parallel Ablation Studies for Deep Learning. EuroMLSys@EuroSys 2021: 55-61 - [c24]Marcus Hägglund, Francisco J. Peña, Sepideh Pashami, Ahmad Al-Shishtawy, Amir Hossein Payberah:
COCLUBERT: Clustering Machine Learning Source Code. ICMLA 2021: 151-158 - [c23]Andrei-Alin Corodescu, Nikolay Nikolov, Akif Quddus Khan, Ahmet Soylu, Mihhail Matskin, Amir Hossein Payberah, Dumitru Roman:
Locality-Aware Workflow Orchestration for Big Data. MEDES 2021: 62-70 - [c22]Karl Fredrik Erliksson, Anders Arpteg, Mihhail Matskin, Amir Hossein Payberah:
Cross-Domain Transfer of Generative Explanations Using Text-to-Text Models. NLDB 2021: 76-89 - [c21]Mihhail Matskin, Shirin Tahmasebi, Amirhossein Layegh, Amir Hossein Payberah, Aleena Thomas, Nikolay Nikolov, Dumitru Roman:
A Survey of Big Data Pipeline Orchestration Tools from the Perspective of the DataCloud Project. DAMDID/RCDL (Supplementary Proceedings) 2021: 63-78 - 2020
- [j4]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:
Deep learning for electronic health records: A comparative review of multiple deep neural architectures. J. Biomed. Informatics 101: 103337 (2020) - [c20]Francesco Lorenzo, Sahar Asadi, Alice Karnsund, Lele Cao, Tianze Wang, Amir Hossein Payberah:
Use All Your Skills, Not Only The Most Popular Ones. CoG 2020: 682-685 - [c19]Moritz Meister, Sina Sheikholeslami, Amir Hossein Payberah, Vladimir Vlassov, Jim Dowling:
Maggy: Scalable Asynchronous Parallel Hyperparameter Search. DistributedML@CoNEXT 2020: 28-33 - [c18]Tianze Wang, Amir Hossein Payberah, Vladimir Vlassov:
CONVJSSP: Convolutional Learning for Job-Shop Scheduling Problems. ICMLA 2020: 1483-1490 - [c17]Farzad Kamrani, Andreas Elers, Mika Cohen, Amir Hossein Payberah:
MarioDAgger: A Time and Space Efficient Autonomous Driver. ICMLA 2020: 1491-1498 - [c16]Andrea Nardelli, Vladimir Vlassov, Amir Hossein Payberah:
Framework-Agnostic Optimization of Repeated Skewed Joins at Massive Scale. ISPA/BDCloud/SocialCom/SustainCom 2020: 26-33 - [c15]Milko Mitropolitsky, Zainab Abbas, Amir Hossein Payberah:
Graph Representation Matters in Device Placement. DIDL@Middleware 2020: 1-6
2010 – 2019
- 2018
- [j3]Mohamed-Rafik Bouguelia, Slawomir Nowaczyk, Amir Hossein Payberah:
An adaptive algorithm for anomaly and novelty detection in evolving data streams. Data Min. Knowl. Discov. 32(6): 1597-1633 (2018) - 2016
- [c14]Hooman Peiro Sajjad, Amir Hossein Payberah, Fatemeh Rahimian, Vladimir Vlassov, Seif Haridi:
Boosting Vertex-Cut Partitioning for Streaming Graphs. BigData Congress 2016: 1-8 - [c13]Hanna Kavalionak, Amir Hossein Payberah, Alberto Montresor, Jim Dowling:
NATCloud: cloud-assisted NAT-traversal service. SAC 2016: 508-513 - 2015
- [j2]Fatemeh Rahimian, Amir Hossein Payberah, Sarunas Girdzijauskas, Márk Jelasity, Seif Haridi:
A Distributed Algorithm for Large-Scale Graph Partitioning. ACM Trans. Auton. Adapt. Syst. 10(2): 12:1-12:24 (2015) - 2014
- [c12]Fatemeh Rahimian, Amir Hossein Payberah, Sarunas Girdzijauskas, Seif Haridi:
Distributed Vertex-Cut Partitioning. DAIS 2014: 186-200 - 2013
- [b1]Amir Hossein Payberah:
Live Streaming in P2P and Hybrid P2P-Cloud Environments for the Open Internet. Royal Institute of Technology, Stockholm, Sweden, 2013 - [c11]Javi Jimenez, Roger Baig, Pau Escrich Garcia, Amin M. Khan, Felix Freitag, Leandro Navarro, Ermanno Pietrosemoli, Marco Zennaro, Amir Hossein Payberah, Vladimir Vlassov:
Supporting cloud deployment in the Guifi.net community network. GIIS 2013: 1-3 - [c10]Amir Hossein Payberah, Hanna Kavalionak, Alberto Montresor, Jim Dowling, Seif Haridi:
Lightweight gossip-based distribution estimation. ICC 2013: 3439-3443 - [c9]Fatemeh Rahimian, Amir Hossein Payberah, Sarunas Girdzijauskas, Márk Jelasity, Seif Haridi:
JA-BE-JA: A Distributed Algorithm for Balanced Graph Partitioning. SASO 2013: 51-60 - 2012
- [j1]Amir Hossein Payberah, Jim Dowling, Fatemeh Rahimian, Seif Haridi:
Distributed optimization of P2P live streaming overlays. Computing 94(8-10): 621-647 (2012) - [c8]Jim Dowling, Amir Hossein Payberah:
Shuffling with a Croupier: Nat-Aware Peer-Sampling. ICDCS 2012: 102-111 - [c7]Amir Hossein Payberah, Hanna Kavalionak, Vimalkumar Kumaresan, Alberto Montresor, Seif Haridi:
CLive: Cloud-assisted P2P live streaming. P2P 2012: 79-90 - 2011
- [c6]Håkan Terelius, Guodong Shi, Jim Dowling, Amir Hossein Payberah, Ather Gattami, Karl Henrik Johansson:
Converging an overlay network to a Gradient topology. CDC/ECC 2011: 7230-7235 - [c5]Amir Hossein Payberah, Jim Dowling, Seif Haridi:
Gozar: NAT-Friendly Peer Sampling with One-Hop Distributed NAT Traversal. DAIS 2011: 1-14 - [c4]Fatemeh Rahimian, Sarunas Girdzijauskas, Amir Hossein Payberah, Seif Haridi:
Vitis: A Gossip-based Hybrid Overlay for Internet-scale Publish/Subscribe Enabling Rendezvous Routing in Unstructured Overlay Networks. IPDPS 2011: 746-757 - [c3]Amir Hossein Payberah, Jim Dowling, Seif Haridi:
GLive: The Gradient Overlay as a Market Maker for Mesh-Based P2P Live Streaming. ISPDC 2011: 153-162 - [i1]Håkan Terelius, Guodong Shi, Jim Dowling, Amir Hossein Payberah, Ather Gattami, Karl Henrik Johansson:
Converging an Overlay Network to a Gradient Topology. CoRR abs/1103.5678 (2011) - 2010
- [c2]Amir Hossein Payberah, Jim Dowling, Fatemeh Rahimian, Seif Haridi:
gradienTv: Market-Based P2P Live Media Streaming on the Gradient Overlay. DAIS 2010: 212-225 - [c1]Amir Hossein Payberah, Fatemeh Rahimian, Seif Haridi, Jim Dowling:
Sepidar: Incentivized Market-Based P2P Live-Streaming on the Gradient Overlay Network. ISM 2010: 1-8
Coauthor Index
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last updated on 2024-12-04 20:13 CET by the dblp team
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