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Line C. Pouchard
Line Pouchard
Person information
- affiliation: Brookhaven National Laboratory, Upton, NY, USA
- affiliation: Purdue University, USA
- affiliation: Oak Ridge National Laboratory, USA
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2020 – today
- 2024
- [c26]Ozgur O. Kilic, Tianle Wang, Matteo Turilli, Mikhail Titov, André Merzky, Line Pouchard, Shantenu Jha:
Workflow Mini-Apps: Portable, Scalable, Tunable & Faithful Representations of Scientific Workflows. CCGrid 2024: 465-477 - [c25]Chase Phelps
, Ankur Lahiry, Tanzima Z. Islam, Line C. Pouchard:
Reimagine Application Performance as a Graph: Novel Graph-Based Method for Performance Anomaly Classification in High-Performance Computing. COMPSAC 2024: 240-245 - [c24]Line Pouchard, Peter Salhofer:
Introduction to the Minitrack on Trustworthy Artificial Intelligence and Machine Learning. HICSS 2024: 7820 - [i8]Ozgur Ozan Kilic
Workflow Mini-Apps: Portable, Scalable, Tunable & Faithful Representations of Scientific Workflows. CoRR abs/2403.18073 (2024) - [i7]Sean R. Wilkinson, Meznah Aloqalaa, Khalid Belhajjame, Michael R. Crusoe, Bruno de Paula Kinoshita, Luiz Gadelha, Daniel Garijo, Ove Johan Ragnar Gustafsson
Applying the FAIR Principles to Computational Workflows. CoRR abs/2410.03490 (2024) - 2023
- [c23]Bogdan Nicolae, Tanzima Z. Islam, Robert B. Ross, Huub J. J. Van Dam
Building the I (Interoperability) of FAIR for Performance Reproducibility of Large-Scale Composable Workflows in RECUP. e-Science 2023: 1-7 - [c22]Luanzheng Guo
Understanding System Resilience for Converged Computing of Cloud, Edge, and HPC. ISC Workshops 2023: 221-233 - [c21]Line C. Pouchard
FAIR Enabling Re-Use of Data-Intensive Workflows and Scientific Reproducibility. ICPE (Companion) 2023: 329 - [i6]Line Pouchard, Kristofer G. Reyes
A Rigorous Uncertainty-Aware Quantification Framework Is Essential for Reproducible and Replicable Machine Learning Workflows. CoRR abs/2301.05763 (2023) - 2022
- [c20]Ishan Abhinit, Emily K. Adams, Khairul Alam, Brian Chase, Ewa Deelman, Lev Gorenstein, Stephen Hudson
Novel Proposals for FAIR, Automated, Recommendable, and Robust Workflows. WORKS@SC 2022: 84-92 - [i5]Gilchan Park
Figure Descriptive Text Extraction using Ontological Representation. CoRR abs/2208.06040 (2022) - 2021
- [j15]Beth A. Plale
Reproducibility Practice in High-Performance Computing: Community Survey Results. Comput. Sci. Eng. 23(5): 55-60 (2021) - [j14]Ian T. Foster
Online data analysis and reduction: An important Co-design motif for extreme-scale computers. Int. J. High Perform. Comput. Appl. 35(6): 617-635 (2021) - [j13]Gilchan Park
Advances in scientific literature mining for interpreting materials characterization. Mach. Learn. Sci. Technol. 2(4): 45007 (2021) - 2020
- [j12]Tom Peterka
Priority research directions for in situ data management: Enabling scientific discovery from diverse data sources. Int. J. High Perform. Comput. Appl. 34(4) (2020) - [j11]Atanu Acharya
Supercomputer-Based Ensemble Docking Drug Discovery Pipeline with Application to Covid-19. J. Chem. Inf. Model. 60(12): 5832-5852 (2020) - [c19]Gilchan Park, Julia Taylor Rayz, Line Pouchard:
Figure Descriptive Text Extraction Using Ontological Representation. FLAIRS 2020: 130-135 - [c18]Christopher Kelly, Sungsoo Ha, Kevin A. Huck
Chimbuko: A Workflow-Level Scalable Performance Trace Analysis Tool. ISAV@SC 2020: 15-19 - [i4]Sungsoo Ha, Wonyong Jeong, Gyorgy Matyasfalvi, Cong Xie, Kevin A. Huck, Jong Youl Choi, Abid Malik, Li Tang, Hubertus Van Dam, Line Pouchard, Wei Xu, Shinjae Yoo, Nicholas D'Imperio, Kerstin Kleese van Dam:
Chimbuko: A Workflow-Level Scalable Performance Trace Analysis Tool. CoRR abs/2008.13742 (2020)
2010 – 2019
- 2019
- [j10]Line Pouchard
Experimental Data Curation at Large Instrument Facilities with Open Source Software. Int. J. Digit. Curation 14(1): 114-125 (2019) - [j9]Line Pouchard
Computational reproducibility of scientific workflows at extreme scales. Int. J. High Perform. Comput. Appl. 33(5) (2019) - [c17]Line Pouchard, Yuewei Lin, Hubertus Van Dam
Replicating Machine Learning Experiments in Materials Science. PARCO 2019: 743-755 - 2018
- [i3]Line Pouchard, Sterling Baldwin, Todd Elsethagen, Carlos Gamboa, Shantenu Jha, Bibi Raju, Eric G. Stephan, Li Tang
Use Cases of Computational Reproducibility for Scientific Workflows at Exascale. CoRR abs/1805.00967 (2018) - 2017
- [c16]Ian T. Foster, Mark Ainsworth, Bryce Allen, Julie Bessac, Franck Cappello, Jong Youl Choi, Emil M. Constantinescu
Computing Just What You Need: Online Data Analysis and Reduction at Extreme Scales. Euro-Par 2017: 3-19 - [c15]Megan Sapp Nelson
A pilot "big data" education modular curriculum for engineering graduate education: Development and implementation. FIE 2017: 1-5 - 2016
- [c14]Parthasarathy Gopavarapu, Line C. Pouchard, Santiago Pujol:
Increasing Datasets Discoverability in an Engineering Data Platform using Keyword Extraction. JCDL 2016: 225-226 - 2015
- [j8]Suppawong Tuarob
A generalized topic modeling approach for automatic document annotation. Int. J. Digit. Libr. 16(2): 111-128 (2015) - [p2]Line C. Pouchard, Ranjeet Devarakonda
A Linked Science Investigation: Enhancing Climate Change Data Discovery with Ontologies and Semantic Technologies. Semantic Web Enabled Software Engineering 2015: 33-50 - 2014
- [j7]Nicholas DiGiuseppe, Line C. Pouchard, Natalya Fridman Noy:
SWEET ontology coverage for earth system sciences. Earth Sci. Informatics 7(4): 249-264 (2014) - [c13]Line Pouchard, Amy Barton, Lisa Zilinski
Data narratives: Increasing scholarly value. ASIST 2014: 1-4 - [c12]Ranjeet Devarakonda, Giriprakash Palanisamy, Line C. Pouchard, Biva Shrestha:
Semantic search integration to climate data. CTS 2014: 635-636 - [e3]Paul Groth, Marieke van Erp, Tomi Kauppinen, Jun Zhao, Carsten Keßler, Line C. Pouchard, Carole A. Goble, Yolanda Gil, Jacco van Ossenbruggen:
Proceedings of the 3rd International Workshop on Linked Science 2013 - Supporting Reproducibility, Scientific Investigations and Experiments (LISC2013) In conjunction with the 12th International Semantic Web Conference 2013 (ISWC 2013), Sydney, Australia, October 21, 2013. CEUR Workshop Proceedings 1116, CEUR-WS.org 2014 [contents] - [i2]Doug James, Nancy Wilkins-Diehr, Victoria Stodden, Dirk Colbry, Carlos Rosales, Mark R. Fahey, Justin Shi, Rafael Ferreira da Silva, Kyo Lee, Ralph Roskies, Laurence Loewe, Susan Lindsey, Rob Kooper, Lorena A. Barba, David H. Bailey, Jonathan M. Borwein, Óscar Corcho, Ewa Deelman, Michael C. Dietze, Benjamin Gilbert, Jan Harkes, Seth Keele, Praveen Kumar, Jong Lee, Erika Linke, Richard Marciano, Luigi Marini, Chris Mattmann, Dave Mattson, Kenton McHenry, Robert T. McLay, Sheila Miguez, Barbara S. Minsker, María S. Pérez-Hernández, Dan Ryan, Mats Rynge, Idafen Santana-Pérez, Mahadev Satyanarayanan, Gloriana St. Clair, Keith Webster, Eivind Hovig, Daniel S. Katz, Sophie Kay, Geir Kjetil Sandve, David Skinner, Gabrielle Allen, John Cazes, Kym Won Cho, Jim Fonseca, Lorraine J. Hwang, Lars Koesterke, Pragnesh Patel, Line Pouchard, Edward Seidel, Isuru Suriarachchi:
Standing Together for Reproducibility in Large-Scale Computing: Report on reproducibility@XSEDE. CoRR abs/1412.5557 (2014) - 2013
- [j6]Line C. Pouchard, Marcia L. Branstetter, Robert B. Cook
A Linked Science investigation: enhancing climate change data discovery with semantic technologies. Earth Sci. Informatics 6(3): 175-185 (2013) - [c11]Jarilyn M. Hernández, Line Pouchard, Jeffrey Todd McDonald, Stacy J. Prowell
Developing a power measurement framework for cyber defense. CSIIRW 2013: 28 - [c10]Suppawong Tuarob
Automatic tag recommendation for metadata annotation using probabilistic topic modeling. JCDL 2013: 239-248 - [e2]Tomi Kauppinen, Line C. Pouchard, Carsten Keßler:
Proceedings of the Second International Workshop on Linked Science 2012 - Tackling Big Data, Boston, MA, USA, November 12, 2012. CEUR Workshop Proceedings 951, CEUR-WS.org 2013 [contents] - 2012
- [c9]Suppawong Tuarob, Line C. Pouchard, Natasha F. Noy, Jeffery S. Horsburgh, Giri Palanisamy:
ONEMercury: Towards Automatic Annotation of Environmental Science Metadata. LISC@ISWC 2012 - 2011
- [e1]Tomi Kauppinen, Line C. Pouchard, Carsten Keßler:
Proceedings of the First International Workshop on Linked Science 2011, Bonn, Germany, October 24, 2011. CEUR Workshop Proceedings 783, CEUR-WS.org 2011 [contents] - 2010
- [c8]Line C. Pouchard, Jonathan D. Dobson, Stephen W. Poole:
Collecting Sensor Data for High-Performance Computing: A Case-study. PDPTA 2010: 384-389
2000 – 2009
- 2009
- [c7]Line C. Pouchard, Jonathan D. Dobson, Joseph P. Trien:
A Framework for the Systematic Collection of Open Source Intelligence. AAAI Spring Symposium: Technosocial Predictive Analytics 2009: 102-107 - 2008
- [p1]Richard C. Ward, Line C. Pouchard, Nancy B. Munro, Sarah K. Fischer:
Virtual Human Problem-Solving Environments. Digital Human Modeling 2008: 108-132 - 2007
- [c6]Antonio Sanfilippo, Andrew J. Cowell, Stephen Tratz, A. M. Boek, Amanda K. Cowell, Christian Posse, Line C. Pouchard:
Content Analysis for Proactive Intelligence: Marshaling Frame Evidence. AAAI 2007: 919-924 - [i1]David E. Bernholdt, Shishir Bharathi, David Brown, Kasidit Chanchio, Meili Chen, Ann L. Chervenak, Luca Cinquini, Bob Drach, Ian T. Foster, Peter Fox, José García, Carl Kesselman, Rob S. Markel, Don Middleton, Veronika Nefedova, Line Pouchard, Arie Shoshani, Alex Sim, Gary Strand, Dean N. Williams:
The Earth System Grid: Supporting the Next Generation of Climate Modeling Research. CoRR abs/0712.2262 (2007) - 2006
- [j5]Richard C. Ward, Line C. Pouchard, Barbara G. Beckerman, Stewart P. Dickson:
The HotBox: a visual user interface to medical data. Inf. Vis. 5(4): 290-295 (2006) - [c5]Richard C. Ward, Line C. Pouchard, James J. Nutaro
Integrative Computational Frameworks for Multiscale Digital Human Modeling and Simulation. International Conference on Computational Science (4) 2006: 814-821 - [c4]Anne-Françoise Cutting-Decelle, Robert I. M. Young, Jean Pierre Bourey, Jean-Jacques Michel, Line C. Pouchard:
A Standardised Data Model for Process and Flow Management: ISO 15531-43 - A Step Towards CE in Manufacturing -. CE 2006: 371-378 - 2005
- [j4]Line Pouchard, Andrew Woolf
Data Grid discovery and Semantic Web technologies for the earth sciences. Int. J. Digit. Libr. 5(2): 72-83 (2005) - [j3]David E. Bernholdt
The Earth System Grid: Supporting the Next Generation of Climate Modeling Research. Proc. IEEE 93(3): 485-495 (2005) - [j2]Omer F. Rana, Line Pouchard:
Agent Based Semantic Grids: Research Issues and Challenges. Scalable Comput. Pract. Exp. 6(4) (2005) - [c3]Line Pouchard, Luc Moreau, V. Tamma:
First international workshop on semantic infrastructure for grid computing applications (SIGAW). CCGRID 2005: 152-153 - 2003
- [c2]Line Pouchard, Luca Cinquini, Bob Drach, Don Middleton, David E. Bernholdt
An Ontology for Scientific Information in a Grid Environment: the Earth System Grid. CCGRID 2003: 626-632 - 2000
- [c1]Line Pouchard, David W. Walker:
A Community of Agents for User Support in a Problem-Solving Environment. Agents Workshop on Infrastructure for Multi-Agent Systems 2000: 192-198
1990 – 1999
- 1999
- [j1]Nenad Ivezic, Thomas E. Potok
Multiagent Framework for Lean Manufacturing. IEEE Internet Comput. 3(5): 58-59 (1999)
Coauthor Index
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last updated on 2024-12-26 01:51 CET by the dblp team
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