Tags: reproducibility
Publications
2023
- K. Roy, M. Gaur, M. Soltani, V. Rawte, and A. Sheth, "ProKnow: Process knowledge for safety constrained and explainable question generation for mental health diagnostic assistance", Article, Frontiers in Big Data, January 2023, 162 downloads.
2021
- R. Ayanzadeh, J. E. Dorband, M. Halem, and T. Finin, "Multi-Qubit Correction for Quantum Annealers", Article, Nature Scientific Reports, July 2021, 801 downloads.
2020
- R. Ayanzadeh, J. E. Dorband, M. Halem, and T. Finin, "Post-Quantum Error-Correction for Quantum Annealers", Article, arXiv:2010.00115 [quant-ph], September 2020, 468 downloads.
2014
- V. Korolev and A. Joshi, "PROB: A tool for Tracking Provenance and Reproducibility of Big Data Experiments", InProceedings, Reproduce '14. HPCA 2014, March 2014, 1883 downloads.
2010
- C. Tilmes, Y. Yesha, and M. Halem, "Provenance Artifact Identification in the Atmospheric Composition Processing System (ACPS)", InProceedings, Proceedings of the 2nd Workshop on the Theory and Practice of Provenance, February 2010, 1288 downloads, 1 citation.
2007
- M. Halem, Y. Yesha, C. Tilmes, D. Chapman, N. Most, and A. Bertolli, "SOAR: A System for the Analysis of Atmospheric Radiances", InProceedings, EOS Transactions, December 2007.
Old Events
- PROB: A tool for Tracking Provenance and Reproducibility of Big Data Experiments
February 10, 2014 - Enabling Reproducibility of Scientific Data Flows through Tracking and Representation of Provenance
March 31, 2011 - Enabling Reproducibility of Scientific Data Flows with Provenance Equivalence
February 8, 2011 - Data Provenance Management for Earth Science Reproducibility
March 24, 2010 - Provenance Tracking in Climate Science Data Processing Systems
March 4, 2008