Multiagent Framework for Lean Manufacturing. - Nenad Ivezic; Thomas E. Potok; Line Pouchard (IEEE Internet Comput., 1999)

A Community of Agents for User Support in a Problem-Solving Environment. - Line Pouchard; David W. Walker (Agents Workshop on Infrastructure for Multi-Agent Systems, 2000)

An Ontology for Scientific Information in a Grid Environment: the Earth System Grid. - Line Pouchard; Luca Cinquini; Bob Drach; Don Middleton; David E. Bernholdt; Kasidit Chanchio; Ian T. Foster; Veronika Nefedova; David Brown 006; Peter Fox 001; José García 004; Gary Strand; et al. (CCGRID, 2003)

First international workshop on semantic infrastructure for grid computing applications (SIGAW). - Line Pouchard; Luc Moreau 001; Valentina Tamma (CCGRID, 2005)

Data Grid discovery and Semantic Web technologies for the earth sciences. - Line Pouchard; Andrew Woolf; David E. Bernholdt (Int. J. Digit. Libr., 2005)

The Earth System Grid: Supporting the Next Generation of Climate Modeling Research. - David E. Bernholdt; Shishir Bharathi; David Brown 006; Kasidit Chanchio; Meili Chen; Ann L. Chervenak; Luca Cinquini; Bob Drach; Ian T. Foster; Peter Fox 001; José García 004; Carl Kesselman; et al. (Proc. IEEE, 2005)

Agent Based Semantic Grids: Research Issues and Challenges. - Omer F. Rana; Line Pouchard (Scalable Comput. Pract. Exp., 2005)

Integrative Computational Frameworks for Multiscale Digital Human Modeling and Simulation. - Richard C. Ward; Line C. Pouchard; James J. Nutaro (International Conference on Computational Science (4), 2006)

A Standardised Data Model for Process and Flow Management: ISO 15531-43 - A Step Towards CE in Manufacturing -. - Anne-Françoise Cutting-Decelle; Robert I. M. Young; Jean Pierre Bourey; Jean-Jacques Michel; Line C. Pouchard (CE, 2006)

The HotBox: a visual user interface to medical data. - Richard C. Ward; Line C. Pouchard; Barbara G. Beckerman; Stewart P. Dickson (Inf. Vis., 2006)

Content Analysis for Proactive Intelligence: Marshaling Frame Evidence. - Antonio Sanfilippo; Andrew J. Cowell; Stephen Tratz; A. M. Boek; Amanda K. Cowell; Christian Posse; Line C. Pouchard (AAAI, 2007)

Virtual Human Problem-Solving Environments. - Richard C. Ward; Line C. Pouchard; Nancy B. Munro; Sarah K. Fischer (Digital Human Modeling, 2008)

A Framework for the Systematic Collection of Open Source Intelligence. - Line C. Pouchard; Jonathan D. Dobson; Joseph P. Trien (AAAI Spring Symposium: Technosocial Predictive Analytics, 2009)

Collecting Sensor Data for High-Performance Computing: A Case-study. - Line C. Pouchard; Jonathan D. Dobson; Stephen W. Poole (PDPTA, 2010)

ONEMercury: Towards Automatic Annotation of Environmental Science Metadata. - Suppawong Tuarob; Line C. Pouchard; Natasha F. Noy; Jeffery S. Horsburgh; Giri Palanisamy (LISC@ISWC, 2012)

Developing a power measurement framework for cyber defense. - Jarilyn M. Hernández; Line Pouchard; Jeffrey Todd McDonald; Stacy J. Prowell (CSIIRW, 2013)

Automatic tag recommendation for metadata annotation using probabilistic topic modeling. - Suppawong Tuarob; Line C. Pouchard; C. Lee Giles (JCDL, 2013)

A Linked Science investigation: enhancing climate change data discovery with semantic technologies. - Line C. Pouchard; Marcia L. Branstetter; Robert B. Cook; Ranjeet Devarakonda; Jim Green; Giri Palanisamy; Paul R. Alexander; Natalya Fridman Noy (Earth Sci. Informatics, 2013)

Data narratives: Increasing scholarly value. - Line Pouchard; Amy Barton; Lisa Zilinski (ASIST, 2014)

Semantic search integration to climate data. - Ranjeet Devarakonda; Giriprakash Palanisamy; Line C. Pouchard; Biva Shrestha (CTS, 2014)

Standing Together for Reproducibility in Large-Scale Computing: Report on reproducibility@XSEDE. - 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; et al. (CoRR, 2014)

SWEET ontology coverage for earth system sciences. - Nicholas DiGiuseppe; Line C. Pouchard; Natalya Fridman Noy (Earth Sci. Informatics, 2014)

A Linked Science Investigation: Enhancing Climate Change Data Discovery with Ontologies and Semantic Technologies. - Line C. Pouchard; Ranjeet Devarakonda; Marcia L. Branstetter; Natasha F. Noy (Semantic Web Enabled Software Engineering, 2015)

A generalized topic modeling approach for automatic document annotation. - Suppawong Tuarob; Line C. Pouchard; Prasenjit Mitra; C. Lee Giles (Int. J. Digit. Libr., 2015)

Increasing Datasets Discoverability in an Engineering Data Platform using Keyword Extraction. - Parthasarathy Gopavarapu; Line C. Pouchard; Santiago Pujol (JCDL, 2016)

Computing Just What You Need: Online Data Analysis and Reduction at Extreme Scales. - Ian T. Foster; Mark Ainsworth; Bryce Allen; Julie Bessac; Franck Cappello; Jong Youl Choi; Emil M. Constantinescu; Philip E. Davis; Sheng Di; Zichao Wendy Di; Hanqi Guo 001; Scott Klasky; et al. (Euro-Par, 2017)

A pilot "big data" education modular curriculum for engineering graduate education: Development and implementation. - Megan Sapp Nelson; Line Pouchard (FIE, 2017)

Use Cases of Computational Reproducibility for Scientific Workflows at Exascale. - Line Pouchard; Sterling Baldwin; Todd Elsethagen; Carlos Gamboa; Shantenu Jha; Bibi Raju; Eric G. Stephan; Li Tang 007; Kerstin Kleese van Dam (CoRR, 2018)

Replicating Machine Learning Experiments in Materials Science. - Line Pouchard; Yuewei Lin; Hubertus Van Dam (PARCO, 2019)

Experimental Data Curation at Large Instrument Facilities with Open Source Software. - Line Pouchard; Kerstin Kleese van Dam; Stuart I. Campbell (Int. J. Digit. Curation, 2019)

Computational reproducibility of scientific workflows at extreme scales. - Line Pouchard; Sterling Baldwin; Todd Elsethagen; Shantenu Jha; Bibi Raju; Eric G. Stephan; Li Tang 007; Kerstin Kleese van Dam (Int. J. High Perform. Comput. Appl., 2019)

Figure Descriptive Text Extraction Using Ontological Representation. - Gilchan Park; Julia Taylor Rayz; Line Pouchard (FLAIRS, 2020)

Chimbuko: A Workflow-Level Scalable Performance Trace Analysis Tool. - Christopher Kelly; Sungsoo Ha; Kevin A. Huck; Hubertus Van Dam; Line Pouchard; Gyorgy Matyasfalvi; Li Tang 007; Nicholas D'Imperio; Wei Xu 020; Shinjae Yoo; Kerstin Kleese van Dam (ISAV@SC, 2020)

Chimbuko: A Workflow-Level Scalable Performance Trace Analysis Tool. - Sungsoo Ha; Wonyong Jeong; Gyorgy Matyasfalvi; Cong Xie; Kevin A. Huck; Jong Youl Choi; Abid Malik; Li Tang 007; Hubertus Van Dam; Line Pouchard; Wei Xu 020; Shinjae Yoo; et al. (CoRR, 2020)

Priority research directions for in situ data management: Enabling scientific discovery from diverse data sources. - Tom Peterka; Deborah Bard; Janine C. Bennett; E. Wes Bethel; Ron A. Oldfield; Line Pouchard; Christine Sweeney; Matthew Wolf (Int. J. High Perform. Comput. Appl., 2020)

Supercomputer-Based Ensemble Docking Drug Discovery Pipeline with Application to Covid-19. - Atanu Acharya; Rupesh Agarwal; Matthew B. Baker; Jérôme Baudry; Debsindhu Bhowmik; Swen Böhm; Kendall G. Byler; Sam Yen-Chi Chen; Leighton Coates; Connor J. Cooper; Omar Demerdash; Isabella Daidone; et al. (J. Chem. Inf. Model., 2020)

Reproducibility Practice in High-Performance Computing: Community Survey Results. - Beth A. Plale; Tanu Malik; Line C. Pouchard; Lorena A. Barba; Sandra Gesing (Comput. Sci. Eng., 2021)

Online data analysis and reduction: An important Co-design motif for extreme-scale computers. - Ian T. Foster; Mark Ainsworth; Julie Bessac; Franck Cappello; Jong Choi 001; Sheng Di; Zichao Wendy Di; Ali Murat Gok; Hanqi Guo 001; Kevin A. Huck; Christopher Kelly; Scott Klasky; et al. (Int. J. High Perform. Comput. Appl., 2021)

Advances in scientific literature mining for interpreting materials characterization. - Gilchan Park; Line Pouchard (Mach. Learn. Sci. Technol., 2021)

Novel Proposals for FAIR, Automated, Recommendable, and Robust Workflows. - Ishan Abhinit; Emily K. Adams; Khairul Alam; Brian Chase; Ewa Deelman; Lev Gorenstein; Stephen Hudson; Tanzima Z. Islam; Jeffrey Larson 001; Geoffrey Lentner; Anirban Mandal; John-Luke Navarro; et al. (WORKS@SC, 2022)

Building the I (Interoperability) of FAIR for Performance Reproducibility of Large-Scale Composable Workflows in RECUP. - Bogdan Nicolae; Tanzima Z. Islam; Robert B. Ross; Huub J. J. Van Dam; Kevin Assogba; Polina Shpilker; Mikhail Titov; Matteo Turilli; Tianle Wang 001; Ozgur O. Kilic; Shantenu Jha; Line C. Pouchard (e-Science, 2023)

Understanding System Resilience for Converged Computing of Cloud, Edge, and HPC. - Luanzheng Guo; Jay F. Lofstead; Jie Ren 015; Ignacio Laguna; Gokcen Kestor; Line Pouchard; Dossay Oryspayev; Hyeran Jeon (ISC Workshops, 2023)

FAIR Enabling Re-Use of Data-Intensive Workflows and Scientific Reproducibility. - Line C. Pouchard (ICPE (Companion), 2023)

A Rigorous Uncertainty-Aware Quantification Framework Is Essential for Reproducible and Replicable Machine Learning Workflows. - Line Pouchard; Kristofer G. Reyes; Francis J. Alexander; Byung-Jun Yoon (CoRR, 2023)

Workflow Mini-Apps: Portable, Scalable, Tunable & Faithful Representations of Scientific Workflows. - Ozgur O. Kilic; Tianle Wang 001; Matteo Turilli; Mikhail Titov; André Merzky; Line Pouchard; Shantenu Jha (CCGrid, 2024)

Reimagine Application Performance as a Graph: Novel Graph-Based Method for Performance Anomaly Classification in High-Performance Computing. - Chase Phelps; Ankur Lahiry; Tanzima Z. Islam; Line C. Pouchard (COMPSAC, 2024)

An Overview of Decentralized Web Technologies as a Foundation for Future IPFS-Centric FDOs. - Andrei Vukolov; Erik Van Winkle; Erik Schultes; Line Pouchard; Sina Iman; Philipp Koellinger; Christopher Hill (FDO, 2024)

Introduction to the Minitrack on Trustworthy Artificial Intelligence and Machine Learning. - Line Pouchard; Peter Salhofer (HICSS, 2024)

Performance Characterization and Provenance of Distributed Task-based Workflows on HPC Platforms. - Amal Gueroudji; Chase Phelps; Tanzima Z. Islam; Philip H. Carns; Shane Snyder; Matthieu Dorier; Robert B. Ross; Line C. Pouchard (SC Workshops, 2024)

Applying the FAIR Principles to Computational Workflows. - Sean R. Wilkinson; Meznah Aloqalaa; Khalid Belhajjame; Michael R. Crusoe; Bruno de Paula Kinoshita; Luiz Gadelha; Daniel Garijo; Ove Johan Ragnar Gustafsson; Nick S. Juty; Sehrish Kanwal; Farah Zaib Khan; Johannes Köster; et al. (CoRR, 2024)

An Ecosystem of Services for FAIR Computational Workflows. - Sean R. Wilkinson; Johan Gustafsson 001; Finn Bacall; Khalid Belhajjame; Salvador Capella; José María Fernández González; Jacob Fosso Tande; Luiz Gadelha; Daniel Garijo; Patricia Grubel; Björn A. Grüning; Farah Zaib Khan; et al. (CoRR, 2025)

Automatic Metadata Capture and Processing for High-Performance Workflows. - Polina Shpilker; Line Pouchard (CoRR, 2025)

Scalable GPU Performance Variability Analysis framework. - Ankur Lahiry; Ayush Pokharel; Seth Ockerman; Amal Gueroudji; Line Pouchard; Tanzima Z. Islam (CoRR, 2025)

PGT-I: Scaling Spatiotemporal GNNs with Memory-Efficient Distributed Training. - Seth Ockerman; Amal Gueroudji; Tanwi Mallick; Yixuan He; Line Pouchard; Robert B. Ross; Shivaram Venkataraman (CoRR, 2025)