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Conference and Workshop Papers
- 2024
[c12]Claudia Costa
, Erick Carballo, Alan Walsh, Esen Tuna:
A Model for Managing Multi-Tenant Research Databases. PEARC 2024: 2:1-2:9- [c11]Emily Meanwell, Alan Walsh, Philip Berg, Esen Tuna:
Automated Transcription Service: Enabling Transcription at Scale for Social Science Research. PEARC 2024: 9:1-9:7 - 2023
- [c10]Katie Chapman, Guangchen Ruan, Esen Tuna, Alan Walsh, Eric A. Wernert:
Scholarly Data Share 2.0: Granular Access to Research Data. PEARC 2023: 177-180 - 2022
- [c9]Katie Chapman, Guangchen Ruan, Esen Tuna, Alan Walsh, Eric A. Wernert:
Scholarly Data Share: A Model for Sharing Big Data in Academic Research. PEARC 2022: 2:1-2:8 - [c8]Abhinav Bajpai, James R. McCombs, Esen Tuna, Jui-Yen Huang, Hui-Chen Lu:
HPC Data Analysis Pipeline for Neuronal Cluster Detection. PEARC 2022: 74:1-74:3 - [c7]Esen Tuna, Katie Chapman, Inna Kouper:
Data Management Workflows in Interdisciplinary Highly Collaborative Research. PEARC 2022: 88:1-88:3 - 2021
- [c6]Xiaoran Yan, Guangchen Ruan, Dimitar Nikolov, Matthew Hutchinson, Chathuri Peli Kankanamalage, Benjamin Serrette, James R. McCombs, Alan Walsh, Esen Tuna, Valentin Pentchev:
CADRE: A Cloud-Based Data Service for Big Bibliographic Data. CIKM 2021: 4283-4292 - 2020
- [c5]Guangchen Ruan, Hui Zhang, Esen Tuna, Eric A. Wernert:
Service Provisioning through High Level, Complexity Hiding Interfaces. IEEE BigData 2020: 3288-3294 - 2019
- [c4]Dimitar Nikolov, Esen Tuna:
A Lightweight Framework for Research Data Management. PEARC 2019: 90:1-90:4 - 2018
- [c3]Guangchen Ruan, Tassie Gniady, David Kloster, Eric A. Wernert, Esen Tuna:
A Computational Notebook Approach to Large-scale Text Analysis: Balancing Accessibility with Scalability. PEARC 2018: 35:1-35:8 - [c2]Guangchen Ruan, Eric A. Wernert, Tassie Gniady, Esen Tuna, William R. Sherman:
High Performance Photogrammetry for Academic Research. PEARC 2018: 45:1-45:8 - 2017
- [c1]Tassie Gniady, Guangchen Ruan, William R. Sherman, Esen Tuna, Eric A. Wernert:
Scalable Photogrammetry with High Performance Computing. PEARC 2017: 72:1-72:3
Coauthor Index
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