Publications
This section contains publications published by ISI over the past several decades.
2020
Tracking Social Media Discourse About the COVID-19 Pandemic: Development of a Public Coronavirus Twitter Data Set
Emily Chen, Kristina Lerman, Emilio Ferrara
JMIR Public Health and Surveillance 6 (2), e19273, 2020
TILES-2018, a longitudinal physiologic and behavioral data set of hospital workers
Karel Mundnich, Brandon M Booth, Michelle l'Hommedieu, Tiantian Feng, Benjamin Girault, Justin L'Hommedieu, Mackenzie Wildman, Sophia Skaaden, Amrutha Nadarajan, Jennifer L Villatte, Tiago H Falk, Kristina Lerman, Emilio Ferrara, Shrikanth Narayanan
Scientific Data 7 (354), 2020
Detecting Troll Behavior via Inverse Reinforcement Learning: A Case Study of Russian Trolls in the 2016 US Election
Luca Luceri, Silvia Giordano, Emilio Ferrara
Proceedings of the International AAAI Conference on Web and Social Media, 2020
Bots, elections, and social media: a brief overview
Emilio Ferrara
Disinformation, Misinformation, and Fake News in Social Media, 2020
Does streaming esports affect players’ behavior and performance?
Akira Matsui, Anna Sapienza, Emilio Ferrara
Games and Culture 15 (1), 9-31, 2020
Application aware software defined flows of workflow ensembles
George Papadimitriou, Eric Lyons, Cong Wang, Komal Thareja, Ryan Tanaka, Paul Ruth, Juan J Villalobos, Ivan Rodero, Ewa Deelman, Michael Zink, Anirban Mandal
2020 IEEE/ACM Innovating the Network for Data-Intensive Science (INDIS), 10-21, 2020
An on-demand weather avoidance system for small aircraft flight path routing
Eric Lyons, David Westbrook, Andrew Grote, George Papadimitriou, Komal Thareja, Cong Wang, Michael Zink, Ewa Deelman, Anirban Mandal, Paul Ruth
International Conference on Dynamic Data Driven Application Systems, 311-319, 2020
Identifying execution anomalies for data intensive workflows using lightweight ML techniques
Cong Wang, George Papadimitriou, Mariam Kiran, Anirban Mandal, Ewa Deelman
2020 IEEE High Performance Extreme Computing Conference (HPEC), 1-7, 2020
Modeling the performance of scientific workflow executions on hpc platforms with burst buffers
Loïc Pottier, Rafael Ferreira da Silva, Henri Casanova, Ewa Deelman
2020 IEEE International Conference on Cluster Computing (CLUSTER), 92-103, 2020
WorkflowHub: Community Framework for Enabling Scientific Workflow Research and Development--Technical Report
Rafael Ferreira da Silva, Loïc Pottier, Tainã Coleman, Ewa Deelman, Henri Casanova
arXiv e-prints, arXiv: 2009.00250, 2020
Workflow submit nodes as a service on leadership class systems
George Papadimitriou, Karan Vahi, Jason Kincl, Valentine Anantharaj, Ewa Deelman, Jack Wells
Practice and Experience in Advanced Research Computing, 56-63, 2020
Characterizing, modeling, and accurately simulating power and energy consumption of i/o-intensive scientific workflows
Rafael Ferreira da Silva, Henri Casanova, Anne-Cécile Orgerie, Ryan Tanaka, Ewa Deelman, Frédéric Suter
Journal of computational science 44, 101157, 2020
Detecting anomalous packets in network transfers: investigations using PCA, autoencoder and isolation forest in TCP
Mariam Kiran, Cong Wang, George Papadimitriou, Anirban Mandal, Ewa Deelman
Machine Learning 109, 1127-1143, 2020
The workflow trace archive: Open-access data from public and private computing infrastructures
Laurens Versluis, Roland Mathá, Sacheendra Talluri, Tim Hegeman, Radu Prodan, Ewa Deelman, Alexandru Iosup
IEEE Transactions on Parallel and Distributed Systems 31 (9), 2170-2184, 2020
Parallel Processing and Applied Mathematics: 13th International Conference, PPAM 2019, Bialystok, Poland, September 8–11, 2019, Revised Selected Papers, Part II
Roman Wyrzykowski, Ewa Deelman, Jack Dongarra, Konrad Karczewski
Springer Nature, 2020
The Role of Machine Learning in Scientific Workflow Management on Distributed Cyberinfrastructure
Anirban Mandal, Ewa Deelman
DyNamo: Scalable Weather Workflow Processing in the Academic Multicloud
Eric Lyons, Michael Zink, Anirban Mandal, Cong Wang, Paul Ruth, Chandrasekar Radhakrishnan, George Papadimitriou, Ewa Deelman, Komal Thareja, Ivan Rodero
100th American Meteorological Society Annual Meeting, 2020
Leveraging Dynamic Resource Provisioning and In-network Processing for Scientific Workflows Operating on Huge Data (Presentation)
Anirban Mandal, Cong Wang, Paul Ruth, Komal Thareja, Ewa Deelman, George Papadimitriou, Michael Zink, Eric Lyons
Leveraging Dynamic Resource Provisioning and In-network Processing for Scientific Workflows Operating on Huge Data (White Paper)
Anirban Mandal, Ewa Deelman, Michael Zink, George Papadimitriou, Cong Wang, Eric Lyons, Komal Thareja, Paul Ruth
Debugging Bad Performance in Huge Infrastructure: Using ML and AI (White Paper)
Mariam Kiran, Anirban Mandal, George Papadimitriu, Cong Wag, Ewa Deelman