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- Carl Kesselman
University of Southern California, Information Sciences Institute, Los Angeles, USA
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Publication search results
found 173 matches
- 2024
- Zhiwei Li, Carl Kesselman, Mike D'Arch, Michael Pazzani, Benjamin Yizing Xu:
Deriva-ML: A Continuous FAIRness Approach to Reproducible Machine Learning Models. CoRR abs/2407.01608 (2024) - 2023
- Carl Kesselman
, Robert Schuler
, Ian T. Foster
:
Let's Put the Science in eScience. e-Science 2023: 1-3 - Robert E. Schuler
, Jitin Singla, Brinda Vallat, Kate L. White, Helen M. Berman, Carl Kesselman:
Database Evolution, by Scientists, for Scientists: A Case Study. e-Science 2023: 1-10 - Robert Schuler
, Carl Kesselman, Kyle Chard, Alejandro Bugacov:
Proceedings of the 35th International Conference on Scientific and Statistical Database Management, SSDBM 2023, Los Angeles, CA, USA, July 10-12, 2023. ACM 2023 [contents] - 2022
- Ian T. Foster, Carl Kesselman
:
CUF-Links: Continuous and Ubiquitous FAIRness Linkages for Reproducible Research. Computer 55(8): 20-30 (2022) - Robert E. Schuler
, Carl Kesselman
:
Managing Database-Application Co-Evolution in a Scientific Data Ecosystem. e-Science 2022: 214-224 - William Dempsey, Ian T. Foster, Scott Fraser, Carl Kesselman:
Sharing Begins at Home. CoRR abs/2201.06564 (2022) - Ian T. Foster, Carl Kesselman:
CUF-Links: Continuous and Ubiquitous FAIRness Linkages for reproducible research. CoRR abs/2201.08296 (2022) - Ian T. Foster, Carl Kesselman:
The History of the Grid. CoRR abs/2204.04312 (2022) - 2021
- Robert Schuler
, Carl Kesselman
:
CHiSEL: a user-oriented framework for simplifing database evolution. Distributed Parallel Databases 39(2): 483-543 (2021) - Ian T. Foster
, Carl Kesselman
:
Translating the grid: How a translational approach shaped the development of grid computing. J. Comput. Sci. 52: 101214 (2021) - Hongsuda Tangmunarunkit, Aref Shafaeibejestan, Joshua Chudy, Karl Czajkowski, Robert Schuler, Carl Kesselman:
Model-Adaptive Interface Generation for Data-Driven Discovery. CoRR abs/2110.01781 (2021) - 2020
- Robert Schuler
, Karl Czajkowski
, Mike D'Arcy
, Hongsuda Tangmunarunkit
, Carl Kesselman
:
Towards Co-Evolution of Data-Centric Ecosystems. SSDBM 2020: 4:1-4:12 - Rachana Ananthakrishnan, Kyle Chard
, Mike D'Arcy
, Ian T. Foster, Carl Kesselman
, Brendan McCollam, Jim Pruyne, Philippe Rocca-Serra, Robert Schuler, Rick Wagner:
An Open Ecosystem for Pervasive Use of Persistent Identifiers. PEARC 2020: 99-105 - Ian T. Foster, Carl Kesselman:
Translating the Grid: How a Translational Approach Shaped the Development of Grid Computing. CoRR abs/2008.09591 (2020) - 2019
- Robert Schuler
, Alejandro Bugacov, Matthew Blow, Carl Kesselman
:
Toward FAIR Knowledge Turns in Bioinformatics. BIBM 2019: 1240-1242 - Robert E. Schuler
, Carl Kesselman
:
A High-level User-oriented Framework for Database Evolution. SSDBM 2019: 157-168 - Yunxiao Deng, Carl Kesselman
, Suvrajeet Sen, Jiajun Xu
:
Computational Operations Research Exchange (Core): A Cyber-Infrastructure for Analytics. WSC 2019: 3447-3456 - Mike D'Arcy, Kyle Chard, Ian T. Foster, Carl Kesselman, Ravi K. Madduri, Nickolaus D. Saint, Rick Wagner:
Big Data Bags: A Scalable Packaging Format for Science. RO 2019 - 2018
- Farshid Sepehrband
, Kirsten M. Lynch
, Ryan P. Cabeen, Clio González-Zacarías, Lu Zhao, Mike D'Arcy
, Carl Kesselman
, Megan M. Herting, Ivo D. Dinov
, Arthur W. Toga, Kristi Clark:
Neuroanatomical morphometric characterization of sex differences in youth using statistical learning. NeuroImage 172: 217-227 (2018) - Karl Czajkowski
, Carl Kesselman
, Robert E. Schuler, Hongsuda Tangmunarunkit
:
ERMrest: a web service for collaborative data management. SSDBM 2018: 13:1-13:12 - Robert E. Schuler
, Carl Kesselman
:
Towards an efficient and effective framework for the evolution of scientific databases. SSDBM 2018: 27:1-27:4 - Ravi K. Madduri, Kyle Chard, Michel D'Arcy, Segun Jung, Alexis A. Rodriguez, Dinanath Sulakhe, Eric Deutsch, Cory C. Funk, Benjamin D. Heavner, Matthew A. Richards, Paul Shannon, Gustavo Glusman, Nathan D. Price, Carl Kesselman, Ian T. Foster:
Reproducible big data science: A case study in continuous FAIRness. RO 2018 - 2017
- Alejandro Bugacov, Karl Czajkowski
, Carl Kesselman
, Anoop Kumar, Robert E. Schuler
, Hongsuda Tangmunarunkit
:
Experiences with DERIVA: An Asset Management Platform for Accelerating eScience. eScience 2017: 79-88 - Karl Czajkowski
, Carl Kesselman
, Robert Schuler:
ERMRest: A Collaborative Data Catalog with Fine Grain Access Control. eScience 2017: 510-517 - 2016
- Naveen Ashish, Arthur W. Toga, Ian T. Foster, Ivo D. Dinov, Carl Kesselman:
Big Data Technologies for Biomedical Knowledge Discovery. AMIA 2016 - Kyle Chard, Mike D'Arcy
, Benjamin D. Heavner
, Ian T. Foster, Carl Kesselman
, Ravi K. Madduri
, Alexis A. Rodriguez, Stian Soiland-Reyes
, Carole A. Goble, Kristi Clark, Eric W. Deutsch, Ivo D. Dinov
, Nathan D. Price
, Arthur W. Toga:
I'll take that to go: Big data bags and minimal identifiers for exchange of large, complex datasets. IEEE BigData 2016: 319-328 - Robert E. Schuler
, Carl Kesselman
, Karl Czajkowski
:
Accelerating data-driven discovery with scientific asset management. eScience 2016: 31-40 - Karl Czajkowski, Carl Kesselman, Robert Schuler, Hongsuda Tangmunarunkit:
ERMrest: an entity-relationship data storage service for web-based, data-oriented collaboration. CoRR abs/1610.06044 (2016) - 2015
- Daniella Meeker
, Xiaoqian Jiang, Michael E. Matheny
, Claudiu Farcas, Michel D'Arcy
, Laura Pearlman, Lavanya Nookala, Michele E. Day, Katherine K. Kim
, Hyeoneui Kim
, Aziz A. Boxwala
, Robert E. El-Kareh, Grace Kuo, Frederic S. Resnic, Carl Kesselman
, Lucila Ohno-Machado:
A system to build distributed multivariate models and manage disparate data sharing policies: implementation in the scalable national network for effectiveness research. J. Am. Medical Informatics Assoc. 22(6): 1187-1195 (2015)
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