15 citations · 34 across the 9 of their papers we have counts for
9 papers
Extending the Horizon of Early Diagnosis: Lung Cancer Prediction with Vision Transformers
Olivera Kotevska, Ian Goethert, Michael McGee +11
Lung cancer remains a leading cause of cancer-related mortality worldwide, and early diagnosis is critical for improving survival. However, early-stage malignancies can be subtle o…
SetGo: Metadata Readiness for Scientific AI Datasets
Sean R. Wilkinson, Polina Shpilker, Wesley Brewer
Scientific datasets intended for AI use require both computational readiness for model training and metadata readiness for discovery, sharing, and reuse. The Readiness Engine for D…
Automated Data Readiness for Scientific AI
Sean R. Wilkinson, Valentine G. Anantharaj, Jong Youl Choi +8
Leadership computing facilities steward large-scale scientific datasets that routinely require substantial transformation before serving as AI training data. However, no existing f…
Bridging HPC and Quantum Systems using Scientific Workflows
Samuel T. Bieberich, Ketan C. Maheshwari, Sean R. Wilkinson +3
Quantum Computers offer an intriguing challenge in modern Computer Science. With the inevitable physical limitations to Moore's Law, quantum hardware provides avenues to solve gran…
Towards Lightweight Data Integration using Multi-workflow Provenance and Data Observability
Renan Souza, Tyler J. Skluzacek, Sean R. Wilkinson +2
Modern large-scale scientific discovery requires multidisciplinary collaboration across diverse computing facilities, including High Performance Computing (HPC) machines and the Ed…
Pseudonymization at Scale: OLCF's Summit Usage Data Case Study
Ketan Maheshwari, Sean R. Wilkinson, Alex May +3
The analysis of vast amounts of data and the processing of complex computational jobs have traditionally relied upon high performance computing (HPC) systems. Understanding these a…
WfBench: Automated Generation of Scientific Workflow Benchmarks
Tainã Coleman, Henri Casanova, Ketan Maheshwari +6
The prevalence of scientific workflows with high computational demands calls for their execution on various distributed computing platforms, including large-scale leadership-class…
F*** workflows: when parts of FAIR are missing
Sean R. Wilkinson, Greg Eisenhauer, Anuj J. Kapadia +4
The FAIR principles for scientific data (Findable, Accessible, Interoperable, Reusable) are also relevant to other digital objects such as research software and scientific workflow…
Unveiling User Behavior on Summit Login Nodes as a User
Sean R. Wilkinson, Ketan Maheshwari, Rafael Ferreira da Silva
We observe and analyze usage of the login nodes of the leadership class Summit supercomputer from the perspective of an ordinary user -- not a system administrator -- by periodical…