Anomaly Detection in Scientific Workflows using End-to-End Execution Gantt Charts and Convolutional Neural Networks. Krawczuk, P., Papadimitriou, G., Nagarkar, S., Kiran, M., Mandal, A., & Deelman, E. In Practice and Experience in Advanced Research Computing, of PEARC '21, New York, NY, USA, 2021. Association for Computing Machinery. Funding Acknowledgments: DOE DESC0012636![Anomaly Detection in Scientific Workflows using End-to-End Execution Gantt Charts and Convolutional Neural Networks [link]](https://bibbase.org/img/filetypes/link.svg "link")
Paper doi bibtex @InProceedings{ krawczuk-pearc-2021,
Author = {Krawczuk, Patrycja and Papadimitriou, George and Nagarkar,
Shubham and Kiran, Mariam and Mandal, Anirban and Deelman,
Ewa},
Title = {Anomaly Detection in Scientific Workflows using End-to-End
Execution Gantt Charts and Convolutional Neural Networks},
Year = {2021},
ISBN = {9781450382922},
Publisher = {Association for Computing Machinery},
Address = {New York, NY, USA},
URL = {http://doi.acm.org/10.1145/3437359.3465597},
DOI = {10.1145/3437359.3465597},
BookTitle = {Practice and Experience in Advanced Research Computing},
articleno = {26},
numpages = {5},
Location = {Boston, MA, USA},
Series = {PEARC '21},
Note = {Funding Acknowledgments: DOE DESC0012636}
}
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