George Papadimitriou

36 papers A 2B 4Misc 2Journal 14Unranked 14

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Advancing anomaly detection in computational workflows with active learning. Future Gener. Comput. Syst. Krishnan Raghavan, George Papadimitriou, Hongwei Jin, Anirban Mandal, Mariam Kiran, Prasanna Balaprakash, Ewa Deelman
2024	—	`conf`	A Workflow Management System Approach To Federated Learning: Application to Industry 4.0. DCOSS-IoT Hamza Safri, George Papadimitriou, Frédéric Desprez, Ewa Deelman
2024	J	`jnl`	Advancing Anomaly Detection in Computational Workflows with Active Learning. CoRR Krishnan Raghavan, George Papadimitriou, Hongwei Jin, Anirban Mandal, Mariam Kiran, Prasanna Balaprakash, Ewa Deelman
2024	B	`conf`	Dynamic Tracking, MLOps, and Workflow Integration: Enabling Transparent Reproducibility in Machine Learning. e-Science Hamza Safri, George Papadimitriou, Ewa Deelman
2024	A	`conf`	Large Language Models for Anomaly Detection in Computational Workflows: From Supervised Fine-Tuning to In-Context Learning. SC Hongwei Jin, George Papadimitriou, Krishnan Raghavan, Pawel Zuk, Prasanna Balaprakash, Cong Wang, Anirban Mandal, Ewa Deelman
2024	J	`jnl`	Large Language Models for Anomaly Detection in Computational Workflows: from Supervised Fine-Tuning to In-Context Learning. CoRR Hongwei Jin, George Papadimitriou, Krishnan Raghavan, Pawel Zuk, Prasanna Balaprakash, Cong Wang, Anirban Mandal, Ewa Deelman
2023	—	`conf`	Elephants Sharing the Highway: Studying TCP Fairness in Large Transfers over High Throughput Links. SC Workshops Imtiaz Mahmud, George Papadimitriou, Cong Wang, Mariam Kiran, Anirban Mandal, Ewa Deelman
2023	—	`conf`	Experiments on Network Services for Video Transmission using FABRIC Instrument Resources. INFOCOM Workshops Alicia Esquivel Morel, Durbek Gafurov, Prasad Calyam, Cong Wang, Komal Thareja, Anirban Mandal, Eric Lyons, Michael Zink, George Papadimitriou, Ewa Deelman
2023	J	`jnl`	Flow-Bench: A Dataset for Computational Workflow Anomaly Detection. CoRR George Papadimitriou, Hongwei Jin, Cong Wang, Krishnan Raghavan, Anirban Mandal, Prasanna Balaprakash, Ewa Deelman
2023	J	`jnl`	FlyNet: Drones on the Horizon. IEEE Internet Comput. Alicia Esquivel Morel, Chengyi Qu, Prasad Calyam, Cong Wang, Komal Thareja, Anirban Mandal, Eric Lyons, Michael Zink, George Papadimitriou, Ewa Deelman
2023	B	`conf`	FlyPaw: Optimized Route Planning for Scientific UAVMissions. e-Science Andrew Grote, Eric Lyons, Komal Thareja, George Papadimitriou, Ewa Deelman, Anirban Mandal, Prasad Calyam, Michael Zink
2023	J	`jnl`	Graph neural networks for detecting anomalies in scientific workflows. Int. J. High Perform. Comput. Appl. Hongwei Jin, Krishnan Raghavan, George Papadimitriou, Cong Wang, Anirban Mandal, Mariam Kiran, Ewa Deelman, Prasanna Balaprakash
2023	Misc	`conf`	Network Services Management using Programmable Data Planes for Visual Cloud Computing. ICNC Alicia Esquivel Morel, Prasad Calyam, Chengyi Qu, Durbek Gafurov, Cong Wang, Komal Thareja, Anirban Mandal, Eric Lyons, Michael Zink, George Papadimitriou, Ewa Deelman
2023	J	`jnl`	Self-supervised Learning for Anomaly Detection in Computational Workflows. CoRR Hongwei Jin, Krishnan Raghavan, George Papadimitriou, Cong Wang, Anirban Mandal, Ewa Deelman, Prasanna Balaprakash
2022	B	`conf`	Automating Edge-to-cloud Workflows for Science: Traversing the Edge-to-cloud Continuum with Pegasus. CCGRID Ryan Tanaka, George Papadimitriou, Sai Charan Viswanath, Cong Wang, Eric Lyons, Komal Thareja, Chengyi Qu, Alicia Esquivel Morel, Ewa Deelman, Anirban Mandal, Prasad Calyam, Michael Zink
2022	J	`jnl`	Fair sharing of network resources among workflow ensembles. Clust. Comput. George Papadimitriou, Eric Lyons, Cong Wang, Komal Thareja, Ryan Tanaka, Paul Ruth, Ivan Rodero, Ewa Deelman, Michael Zink, Anirban Mandal
2022	—	`conf`	Workflow Anomaly Detection with Graph Neural Networks. WORKS@SC Hongwei Jin, Krishnan Raghavan, George Papadimitriou, Cong Wang, Anirban Mandal, Patrycja Krawczuk, Loïc Pottier, Mariam Kiran, Ewa Deelman, Prasanna Balaprakash
2021	—	`conf`	A Performance Characterization of Scientific Machine Learning Workflows. WORKS Patrycja Krawczuk, George Papadimitriou, Ryan Tanaka, Tu Mai Anh Do, Srujana Subramanya, Shubham Nagarkar, Aditi Jain, Kelsie Lam, Anirban Mandal, Loïc Pottier, Ewa Deelman
2021	—	`conf`	Anomaly Detection in Scientific Workflows using End-to-End Execution Gantt Charts and Convolutional Neural Networks. PEARC Patrycja Krawczuk, George Papadimitriou, Shubham Nagarkar, Mariam Kiran, Anirban Mandal, Ewa Deelman
2021	—	`conf`	Emerging Frameworks for Advancing Scientific Workflows Research, Development, and Education. WORKS Henri Casanova, Ewa Deelman, Sandra Gesing, Michael D. Hildreth, Stephen Hudson, William Koch, Jeffrey Larson, Mary Ann McDowell, Natalie Meyers, John-Luke Navarro, George Papadimitriou, Ryan Tanaka, Ian J. Taylor, Douglas Thain, Stefan M. Wild, Rosa Filgueira, Rafael Ferreira da Silva
2021	J	`jnl`	End-to-end online performance data capture and analysis for scientific workflows. Future Gener. Comput. Syst. George Papadimitriou, Cong Wang, Karan Vahi, Rafael Ferreira da Silva, Anirban Mandal, Zhengchun Liu, Rajiv Mayani, Mats Rynge, Mariam Kiran, Vickie E. Lynch, Rajkumar Kettimuthu, Ewa Deelman, Jeffrey S. Vetter, Ian T. Foster
2021	Misc	`conf`	FlyNet: a platform to support scientific workflows from the edge to the core for UAV applications. UCC Eric Lyons, Hakan Saplakoglu, Michael Zink, Komal Thareja, Anirban Mandal, Chengyi Qu, Songjie Wang, Prasad Calyam, George Papadimitriou, Ryan Tanaka, Ewa Deelman
2021	J	`jnl`	Mining Scientific Workflows for Anomalous Data Transfers. CoRR Huy Tu, George Papadimitriou, Mariam Kiran, Cong Wang, Anirban Mandal, Ewa Deelman, Tim Menzies
2021	A	`conf`	Mining Workflows for Anomalous Data Transfers. MSR Huy Tu, George Papadimitriou, Mariam Kiran, Cong Wang, Anirban Mandal, Ewa Deelman, Tim Menzies
2021	B	`conf`	Predicting Flash Floods in the Dallas-Fort Worth Metroplex Using Workflows and Cloud Computing. e-Science Eric Lyons, Dong-Jun Seo, Sunghee Kim, Hamideh Habibi, George Papadimitriou, Ryan Tanaka, Ewa Deelman, Michael Zink, Anirban Mandal
2020	—	`conf`	An On-Demand Weather Avoidance System for Small Aircraft Flight Path Routing. DDDAS Eric Lyons, David Westbrook, Andrew Grote, George Papadimitriou, Komal Thareja, Cong Wang, Michael Zink, Ewa Deelman, Anirban Mandal, Paul Ruth
2020	—	`conf`	Application Aware Software Defined Flows of Workflow Ensembles. INDIS@SC George Papadimitriou, Eric Lyons, Cong Wang, Komal Thareja, Ryan Tanaka, Paul Ruth, Juan J. Villalobos, Ivan Rodero, Ewa Deelman, Michael Zink, Anirban Mandal
2020	J	`jnl`	Detecting anomalous packets in network transfers: investigations using PCA, autoencoder and isolation forest in TCP. Mach. Learn. Mariam Kiran, Cong Wang, George Papadimitriou, Anirban Mandal, Ewa Deelman
2020	—	`conf`	Identifying Execution Anomalies for Data Intensive Workflows Using Lightweight ML Techniques. HPEC Cong Wang, George Papadimitriou, Mariam Kiran, Anirban Mandal, Ewa Deelman
2020	—	`conf`	Workflow Submit Nodes as a Service on Leadership Class Systems. PEARC George Papadimitriou, Karan Vahi, Jason Kincl, Valentine Anantharaj, Ewa Deelman, Jack C. Wells
2019	—	`conf`	Custom Execution Environments with Containers in Pegasus-Enabled Scientific Workflows. eScience Karan Vahi, Michael Zink, Mats Rynge, George Papadimitriou, Duncan A. Brown, Rajiv Mayani, Rafael Ferreira da Silva, Ewa Deelman, Anirban Mandal, Eric Lyons
2019	J	`jnl`	Custom Execution Environments with Containers in Pegasus-enabled Scientific Workflows. CoRR Karan Vahi, Mats Rynge, George Papadimitriou, Duncan A. Brown, Rajiv Mayani, Rafael Ferreira da Silva, Ewa Deelman, Anirban Mandal, Eric Lyons, Michael Zink
2019	J	`jnl`	Measuring the impact of burst buffers on data-intensive scientific workflows. Future Gener. Comput. Syst. Rafael Ferreira da Silva, Scott Callaghan, Tu Mai Anh Do, George Papadimitriou, Ewa Deelman
2019	J	`jnl`	The Evolution of the Pegasus Workflow Management Software. Comput. Sci. Eng. Ewa Deelman, Karan Vahi, Mats Rynge, Rajiv Mayani, Rafael Ferreira da Silva, George Papadimitriou, Miron Livny
2019	—	`conf`	Toward a Dynamic Network-Centric Distributed Cloud Platform for Scientific Workflows: A Case Study for Adaptive Weather Sensing. eScience Eric Lyons, Anirban Mandal, George Papadimitriou, Cong Wang, Komal Thareja, Paul Ruth, Juan J. Villalobos, Ivan Rodero, Ewa Deelman, Michael Zink
2019	—	`conf`	Training Classifiers to Identify TCP Signatures in Scientific Workflows. INDIS@SC George Papadimitriou, Mariam Kiran, Cong Wang, Anirban Mandal, Ewa Deelman