Journals

• BaziGooshi: A Hybrid Model of Reinforcement Learning for Generalization in Gameplay [pdf] [link]
  Sara Karimi, Sahar Asadi, and Amir H. Payberah, IEEE Transactions on Games ToG, 2024.
• DeepAqua: Semantic Segmentation of Wetland Water Surfaces With SAR Imagery Using Deep Neural Networks Without Manually Annotated Data [pdf] [link]
  Francisco J. Peña, Clara Hübinger, Amir H. Payberah, and Fernando Jaramillo, Elsevier International Journal of Applied Earth Observation and Geoinformation, 2024.
• Scalable Artificial Intelligence for Earth Observation Data Using Hopsworks [pdf] [link]
  Desta Haileselassie Hagos, Theofilos Kakantousis, Sina Sheikholeslami, Tianze Wang, Vladimir Vlassov, Amir H. Payberah, Moritz Meister, Robin Andersson, and Jim Dowling, MDPI Remote Sensing, 2022.
• Big Data Workflows: Locality-aware Orchestration using Software Containers [pdf] [link]
  Andrei-Alin Corodescu, Nikolay Nikolov, Akif Quddus Khan, Ahmet Soylu, Mihhail Matskin, Amir H. Payberah, and Dumitru Roman, MDPI Sensors, 2021.
• Conceptualization and Scalable Eexecution of Big Data Workflows Using Domain-Specific Languages and Software Containers [pdf] [link]
  Nikolay Nikolov, Yared Dejene Dessalk, Akif Quddus Khan, Ahmet Soylu, Mihhail Matskin, Amir H. Payberah, and Dumitru Roman, Elsevier Internet of Things (IoT), 2021.
• Deep Learning for Electronic Health Records: A Comparative Review of Multiple Deep Neural Architectures [pdf] [link]
  Jose Roberto Ayala Solares, Francesca Elisa Diletta Raimondi, Yajie Zhu, Fatemeh Rahimian, Dexter Canoy, Jenny Tran, Ana Catarina Pinho Gomes, Amir H. Payberah, Mariagrazia Zottoli, Milad Nazarzadeh, Nathalie Conrad, Kazem Rahimi, Gholamreza Salimi-Khorshidi, Journal of Biomedical Informatics, 2020.
• Predicting the Risk of Emergency Hospital Admissions in the General Population: Development and Validation of Machine Learning Models in a Cohort Study Using Large-Scale Linked Electronic Health Records [pdf] [link]
  Fatemeh Rahimian, Gholamreza Salimi-Khorshidi, Jenny Tran, Amir H. Payberah, Roberto Ayala Solares, Francesca Raimondi, Milad Nazarzadeh, Dexter Canoy, and Kazem Rahimi, PLOS Medicine, 2018.
• An Adaptive Algorithm for Anomaly and Novelty Detection in Evolving Data Streams [pdf] [link]
  Mohamed-Rafik Bouguelia, Slawomir Nowaczyk, and Amir H. Payberah, Springer Data Mining and Knowledge Discovery, 2018.
• A Distributed Algorithm For Large-Scale Graph Partitioning [pdf] [link]
  Fatemeh Rahimian, Amir H. Payberah, Sarunas Girdzijauskas, Mark Jelasity, and Seif Haridi, ACM Transactions on Autonomous and Adaptive Systems (TAAS), June 2015.
• Distributed Optimization of P2P Live Streaming Overlays [pdf] [link]
  Amir H. Payberah, Jim Dowling, Fatemeh Rahimian, and Seif Haridi, Springer Computing, Special Issue on Extreme Distributed Systems: From Large Scale to Complexity (COMPD), June 2012.

Conferences and Workshops

• Single-pass Hierarchical Text Classification with Large Language Models [pdf]
  Fabian Schmidt, Karin Hammerfald, Henrik Haaland Jahren, Amir H. Payberah, and Vladimir Vlassov, From Theory to Practice: Workshop on Large Language and Foundation Models (WLLFM), co-located with IEEE BigData, Washington, December 2024.
• Deep Neural Network Weight Initialization from Hyperparameter Tuning Trials [pdf]
  Sina Sheikholeslami, Tianze Wang, Amir H. Payberah, Jim Dowling, and Vladimir Vlassov, The International Conference on Neural Information Processing (ICONIP), Auckland, New Zealand, December 2024.
• SCORE: Skill-Conditioned Online Reinforcement Learning [pdf]
  Sara Karimi, Sahar Asadi, and Amir H. Payberah, AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment (AIIDE), Lexington, KY, USA, November 2024.
• FogFLeeT: Fog-Level Federated Transfer Learning for Adaptive Transport Mode Detection [pdf]
  Mahdieh Kamalian, Amir Taherkordi, Amir H. Payberah, and Paulo Ferreira, IEEE International Conference on Cloud Engineering (IC2E), Paphos, Cyprus, September 2024.
• REA: Refine-Estimate-Answer Prompting for Zero-Shot Relation Extraction [pdf]
  Amirhossein Layegh, Amir H. Payberah, and Mihhail Matskin, International Conference on Natural Language and Information Systems (NLDB), Turin, Italy, June 2024.
• Wiki-based Prompts for Enhancing Relation Extraction using Language Models [pdf]
  Amirhossein Layegh, Amir H. Payberah, Ahmet Soylu, Dumitru Roman, and Mihhail Matskin, ACM/SIGAPP Symposium On Applied Computing (SAC), Avila, Spain, April 2024.
• Graph Representation Learning with Graph Transformers in Neural Combinatorial Optimization [pdf]
  Tianze Wang, Amir H. Payberah, and Vladimir Vlassov, The IEEE International Conference on Machine Learning and Applications (ICMLA), Florida, USA, December 2023.
• TranSQLation: Transformer-based SQL recommendation [pdf]
  Shirin Tahmasebi, Amir H. Payberah, Ahmet Soylu, Dumitru Roman, and Mihhail Matskin, Workshop on Context-Aware Recommender Systems (CARS), co-located with RecSys, Singapore, September 2023.
• Using Machine Learning to Recommend Personalized Modular Treatments for Common Mental Health Disorders [pdf]
  Fabian Schmidt, Karin Hammerfald, Henrik Haaland Jahren, Ole Andre Solbakken, Amir H. Payberah, and Vladimir Vlassov, IEEE International Conference on Digital Health (ICDH), Chicago, USA, July 2023.
• ContrastNER: Contrastive-based Prompt Tuning for Few-shot NER [pdf]
  Amirhossein Layegh, Amir H. Payberah, Ahmet Soylu, Dumitru Roman, and Mihhail Matskin, COMPSAC Symposium on Autonomous Systems (ASYS), Torino, Italy, June 2023.
• The Impact of Importance-aware Dataset Partitioning on Data-parallel Training of Deep Neural Networks [pdf] Best Artefact
  Sina Sheikholeslami, Amir H. Payberah, Tianze Wang, Jim Dowling, and Vladimir Vlassov, The IFIP International Conference on Distributed Applications and Interoperable Systems (DAIS), Lisbon, Portugal, June 2023.
• Fine-Tuning BERT-based Language Models for Duplicate Trouble Report Retrieval [pdf]
  Nathan Bosch, Serveh Shalmashi, Forough Yaghoubi, Henrik Holm, Fitsum Gaim, and Amir H. Payberah, The IEEE BigData Workshop on Knowledge Discovery and Data Mining in IT Operations (BigData-IT), co-located with BigData, Osaka, Japan, December 2022.
• Node Context Selection in Transformer-Based Graph Representation Learning Models [pdf]
  Tianze Wang, Amir H. Payberah, and Vladimir Vlassov, The IEEE BigData Workshop on High Performance Big Graph Data Management, Analysis, and Mining (BigGraphs), co-located with BigData, Osaka, Japan, December 2022.
• CandyRL: A Hybrid Reinforcement Learning Model for Gameplay [pdf]
  Sara Karimi, Sahar Asadi, Francesco Lorenzo, and Amir H. Payberah, The IEEE International Conference on Machine Learning and Applications (ICMLA), Bahamas, December 2022.
• TranSQL: A Transformer-based Model for Classifying SQL Queries [pdf]
  Shirin Tahmasebi, Amir H. Payberah, Ahmet Soylu, Dumitru Roman, and Mihhail Matskin, The IEEE International Conference on Machine Learning and Applications (ICMLA), Bahamas, December 2022.
• IL-GAN: Rare Sample Generation via Incremental Learning in GANs [pdf]
  Jón R. Baldvinsson, Milad Ganjalizadeh, Abdulrahman AlAbbasi, Mårten Björkman, and Amir H. Payberah, The IEEE Global Communications Conference (GLOBECOM), Rio de Janeiro, Brazil, December 2022.
• Accelerate Model Parallel Deep Learning Training Using Effective Graph Traversal Order in Device Placement [pdf]
  Tianze Wang, Amir H. Payberah, Desta Haileselassie Hagos, and Vladimir Vlassov, The IFIP International Conference on Distributed Applications and Interoperable Systems (DAIS), Lucca, Italy, June 2022.
• BERTicsson: A Recommender System For Troubleshooting [pdf]
  Nuria Marzo I Grimalt, Serveh Shalmashi, Forough Yaghoubi, Leif Jonsson, and Amir H. Payberah, Workshop on Scientific Document Understanding (SDU@AAAI), co-located with AAAI, February, 2022.
• CoCluBERT: Clustering Machine Learning Source Code [pdf]
  Marcus Hägglund, Francisco J. Peña, Sepideh Pashami, Ahmad Al-Shishtawy, and Amir H. Payberah, The IEEE International Conference on Machine Learning and Applications (ICMLA), Virtual, December 2021.
• A Survey of Big Data Pipeline Orchestration Tools from the Perspective of the DataCloud Project [pdf]
  Mihhail Matskin, Shirin Tahmasebi, Amirhossein Layegh, Amir H. Payberah, Aleena Thomas, Nikolay Nikolov, and Dumitru Roman, The International Conference on Data Analytics and Management in Data-Intensive Domains (DAMDID), October, 2021.
• Locality-Aware Workflow Orchestration for Big Data [pdf] Best Paper Award
  Andrei-Alin Corodescu, Nikolay Nikolov, Akif Quddus Khan, Ahmet Soylu, Mihhail Matskin, Amir H. Payberah and Dumitru Roman, The ACM International Conference on Management of Digital EcoSystems (MEDES), November, 2021.
• Cross-Domain Transfer of Generative Explanations using Text-to-Text Models [pdf]
  Karl Fredrik Erliksson, Anders Arpteg, Mihhail Matskin and Amir H. Payberah, International Conference on Natural Language and Information Systems (NLDB), June, 2021.
• Artificial Intelligence and Big Data Technologies for Copernicus Data: the ExtremeEarth Project [pdf]
  Manolis Koubarakis, George Stamoulis, Dimitris Bilidas, Theofilos Ioannidis, Despina-Athanasia Pantazi, Vladimir Vlassov, Amir H. Payberah, Tianze Wang, Sina Sheikholeslami, Desta Haileselassie Hagos, Lorenzo Bruzzone, Claudia Paris, Giulio Weikmann, Daniele Marinelli, Torbjørn Eltoft, Andrea Marinoni, Thomas Kræmer, Salman Khaleghian, Antonis Troumpoukis, Stasinos Konstantopoulos, Vangelis Karkaletsis, Jim Dowling, Theofilos Kakantousis, Mihai Datcu, Corneliu Octavian Dumitru, Wei Yao, Florian Appel, Silke Migdall, Markus Muerth, Heike Bach, Nick Hughes, Alistair Everett, Ashild Kiærbech, Joakim Lillehaug Pedersen, David Arthurs, Andrew Fleming and Andreas Cziferszky, Big Data from Space (BiDS), May, 2021.
• AutoAblation: Automated Parallel Ablation Studies for Deep Learning [pdf]
  Sina Sheikholeslami, Moritz Meister, Tianze Wang, Amir H. Payberah, Vladimir Vlassov, Jim Dowling, Workshop on Machine Learning and Systems (EuroMLSys), co-located with EuroSys, April, 2021.
• IMITA: Imitation Learning for Generalizing Cloud Orchestration [pdf]
  Kamal Hakimzadeh, Patrick K. Nicholson, Diego Lugones, and Amir H. Payberah, The IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGrid), May, 2021.
• Siamese Neural Networks for Detecting Complementary Products [pdf]
  Marina Angelovska, Sina Sheikholeslami, Bas Dunn, and Amir H. Payberah, Student Research Workshop (EACL-SRW), co-located with EACL, April, 2021.
• Generalized Reinforcement Learning for Gameplay [pdf]
  Francesco V. Lorenzo, Sahar Asadi, Alice Karnsund, Tianze Wang and Amir H. Payberah, Workshop on Reinforcement Learning in Games (AAAI-RLG), co-located with AAAI, February, 2021.
• MarioDAgger: A Time and Space Efficient Autonomous Driver [pdf]
  Farzad Kamrani, Andreas Elers, Mika Cohen, and Amir H. Payberah, The IEEE International Conference on Machine Learning and Applications (ICMLA), Miami, USA, December 2020.
• ConvJSSP: Convolutional Learning for Job-Shop Scheduling Problems [pdf]
  Tianze Wang, Amir H. Payberah, and Vladimir Vlassov, The IEEE International Conference on Machine Learning and Applications (ICMLA), Miami, USA, December 2020.
• Framework-Agnostic Optimization of Repeated Skewed Joins at Massive Scale [pdf] Best Paper Award
  Andrea Nardelli, Vladimir Vlassov, Amir H. Payberah, The IEEE International Symposium on Parallel and Distributed Processing with Applications (ISPA), Exeter, UK, December 2020.
• Graph Representation Matters in Device Placement [pdf]
  Milko Mitropolitsky, Zainab Abbas, Amir H. Payberah, Workshop on Distributed Infrastructures for Deep Learning (DIDL), co-located with Middleware, Delft, the Netherlands, December 2020.
• Maggy: Scalable Asynchronous Parallel Hyperparameter Search [pdf]
  Moritz Meister, Sina Sheikholeslami, Amir H. Payberah, Vladimir Vlassov, Jim Dowling, Workshop on Distributed Machine Learning (DistributedML), co-located with CoNEXT, Barcelona, Spain, December 2020.
• Use All Your Skills, Not Only The Most Popular Ones [pdf]
  Francesco V. Lorenzo, Sahar Asadi, Alice Karnsund, Lele Cao, Tianze Wang, and Amir H. Payberah, The IEEE Conference on Games (CoG), Osaka, Japan, August 2020.
• Boosting Vertex-Cut Partitioning For Streaming Graphs [pdf] [link] Best Paper Award
  Hooman Peiro Sajjad, Amir H. Payberah, Fatemeh Rahimian, Vladimir Vlassov, and Seif Haridi, The 5th IEEE International Congress on Big Data (BigData), San Francisco, USA, June-July 2016.
• NATCloud: Cloud-Assisted NAT-Traversal Service [pdf] [link]
  Hanna Kavalionak, Amir H. Payberah, Alberto Montresor, and Jim Dowling, The 31st ACM/SIGAPP Symposium on Applied Computing (SAC), Pisa, Italy, April 2016.
• Distributed Vertex-Cut Partitioning [pdf] [link]
  Fatemeh Rahimian, Amir H. Payberah, Sarunas Girdzijauskas, and Seif Haridi, The 14th IFIP International Conference on Distributed Applications and Interoperable Systems (DAIS), Berlin, Germany, June 2014.
• Ja-Be-Ja: A Distributed Algorithm for Balanced Graph Partitioning [pdf] [link] Best Paper Award
  Fatemeh Rahimian, Amir H. Payberah, Sarunas Girdzijauskas, Mark Jelasity, and Seif Haridi, The 7th IEEE International Conference on Self-Adaptive and Self-Organizing Systems (SASO), Philadelphia, USA, September 2013.
• Lightweight Gossip-based Distribution Estimation [pdf] [link]
  Amir H. Payberah, Hanna Kavalionak, Alberto Montresor, Jim Dowling, and Seif Haridi, The 15th IEEE International Conference on Communications (ICC), Budapest, Hungary, June 2013.
• Supporting Cloud Deployment in the Guifi.net Community Network [pdf] [link]
  Felix Freitag, Leandro Navarro, Amin M. Khan, Roger Baig, Pau Escrich, Javi Jimenez, Ermanno Pietrosemoli, Marco Zennaro, Vladimir Vlassov, and Amir H. Payberah, The 5th IEEE Global Information Infrastructure and Networking Symposium (GIIS), Trento, Italy, October 2013.
• CLive: Cloud-Assisted P2P Live Streaming [pdf] [slides] [link]
  Amir H. Payberah, Hanna Kavalionak, Vimalkumar Kumaresan, Alberto Montresor, and Seif Haridi, The 12th IEEE International Conference on Peer-to-Peer Computing (P2P), Tarragona, Spain, September 2012.
• Shuffling with a Croupier: Nat-Aware Peer-Sampling [pdf] [slides] [link]
  Jim Dowling and Amir H. Payberah, The 32nd IEEE International Conference on Distributed Computing Systems (ICDCS), Macau, China, June 2012.
• Subscription Awareness Meets Rendezvous Routing [pdf] [link]
  Fatemeh Rahimian, Sarunas Girdzijauskas, Amir H. Payberah and Seif Haridi, The 4th IARIA International Conference on Advances in P2P Systems (AP2PS), Barcelona, Spain, September 2012.
• GLive: The Gradient Overlay As a Market Maker For Mesh-Based P2P Live Streaming [pdf] [slides] [link]
  Amir H. Payberah, Jim Dowling and Seif Haridi, The 10th IEEE International Symposium on Parallel and Distributed Computing (ISPDC), Cluj-Napoca, Romania, July 2011.
• Gozar: NAT-friendly Peer Sampling with One-Hop Distributed NAT Traversal [pdf] [slides] [link] Best Paper Candidate
  Amir H. Payberah, Jim Dowling and Seif Haridi, The 11th IFIP International Conference on Distributed Applications and Interoperable Systems (DAIS), Reykjavik, Iceland, June 2011.
• Vitis: A Gossip-based Hybrid Overlay for Internet-scale Publish/Subscribe [pdf] [link]
  Fatemeh Rahimian, Sarunas Girdzijauskas, Amir H. Payberah and Seif Haridi, The 25th IEEE International Parallel & Distributed Processing Symposium (IPDPS), Anchorage, Alaska, USA, May 2011.
• Converging an Overlay Network to a Gradient Topology [pdf] [link]
  Hakan Terelius, Guodong Shi, Jim Dowling, Amir H. Payberah, Ather Gattami and Karl Henrik Johansson, The 50th IEEE Conference on Decision and Control and European Control Conference (CDC-ECC), Orlando, Florida, USA, December 2011.
• Sepidar: Incentivized Market-Based P2P Live Streaming on the Gradient Overlay Network [pdf] [slides] [link]
  Amir H. Payberah, Jim Dowling, Fatemeh Rahimian and Seif Haridi, The IEEE International Symposium on Multimedia (ISM), Taichung, Taiwan, December 2010.
• gradienTv: Market-based P2P Live Media Streaming on the Gradient Overlay [pdf] [slides] [link]
  Amir H. Payberah, Jim Dowling, Fatemeh Rahimian and Seif Haridi, The 10th IFIP International Conference on Distributed Applications and Interoperable Systems (DAIS), Amsterdam, Netherlands, June 2010.
• Auditing Intrusion Detection System with Mobile Agents [pdf] (in Farsi)
  Amir H. Payberah and Babak Sadeghian, The 10Th Annual Computer Society of Iran Computer Conference, Tehran, Iran, Feb 2005.

Books and Book Chapters

• Introduction to Big Data [pdf] [link]
  Amir H. Payberah and Fatemeh Rahimian, In Big Data and Software Defined Networks, Taheri, J. Editor, The IET Big Data Book Series, 2017.
• Linux Device Driver Programming [link]
  Amir H. Payberah, Hamed Janzadeh and Vahid Kazempour, Ardalan Press, 2006, ISBN: 964-92399-8-7.
• Linux Process Programming and Management [link]
  Amir H. Payberah, Malihe Sarikhani and Azar Nazari, Ardalan Press, 2006, ISBN: 964-92399-9-5.