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ORCID18th eScience 2022: Salt Lake City, UT, USA
- 18th IEEE International Conference on e-Science, e-Science 2022, Salt Lake City, UT, USA, October 11-14, 2022. IEEE 2022, ISBN 978-1-6654-6124-5
- Raza Ahmad, Naga Nithin Manne, Tanu Malik:
Reproducible Notebook Containers using Application Virtualization. 1-10 - Nikita Kotsehub, Matt Baughman, Ryan Chard, Nathaniel Hudson
, Panos Patros, Omer F. Rana, Ian T. Foster, Kyle Chard:
FLoX: Federated Learning with FaaS at the Edge. 11-20 - Paula Olaya, Silvina Caíno-Lores, Vanessa Lama, Ria Patel, Ariel Keller Rorabaugh, Osamu Miyashita, Florence Tama, Michela Taufer:
Identifying Structural Properties of Proteins from X-ray Free Electron Laser Diffraction Patterns. 21-31 - Dong H. Ahn, Xiaohua Zhang, Jeffrey Mast, Stephen Herbein, Francesco Di Natale, Dan Kirshner, Sam Ade Jacobs, Ian Karlin, Daniel J. Milroy, Bronis R. de Supinski, Brian Van Essen, Jonathan E. Allen, Felice C. Lightstone:
Scalable Composition and Analysis Techniques for Massive Scientific Workflows. 32-43 - Martin Chapman, Abigail G.-Medhin, Isabel Sassoon, Nadin Kökciyan, Elizabeth I. Sklar, Vasa Curcin:
Using Microservices to Design Patient-facing Research Software. 44-54 - Paul Watson, Hugo Hiden:
The e-Science Central Study Data Platform. 55-64 - Elena Slavco, Martine de Vos, Miel Hostens, Jan L. Top, Egil A. J. Fischer:
Infection Transmission Ontology: Standardization of Infection Transmission Data. 65-73 - Michael Sieverts, Nikita Rabbitt, Dilworth Y. Parkinson, Douglas W. Sborov, Claire Acevedo:
Multi-Tissue Analysis Using Synchrotron Radiation Micro-CT Images. 74-83 - Mauro Lemus Alarcon, Songjie Wang, Nguyen P. Nguyen, Ashish Pandey, Filiz Bunyak, Matthew R. Maschmann, Kannappan Palaniappan, Prasad Calyam:
Remote Instrumentation Science Environment for Intelligent Image Analytics. 84-94 - Honghao Liu, Qiong Luo, Feng Wang:
Efficient Radio Interferometric Imaging on the GPU. 95-104 - Jacob Sanz-Robinson, Arman Jahanpour, Natalie Phillips, Tristan Glatard, Jean-Baptiste Poline:
NeuroCI: Continuous Integration of Neuroimaging Results Across Software Pipelines and Datasets. 105-116 - Paahuni Khandelwal, Samuel Armstrong, Abdul Matin, Shrideep Pallickara, Sangmi Lee Pallickara:
CloudNet: A Deep Learning Approach for Mitigating Occlusions in Landsat-8 Imagery using Data Coalescence. 117-127 - Edigley Fraga, Ana Cortés, Tomàs Margalef, Porfidio Hernández:
Efficient Cloud-Based Calibration of Input Data for Forest Fire Spread Prediction. 128-136 - Peter Gu, Tamás Budavári, Amanda Galante, Randal C. Burns:
Towards Optimal Line of Sight Coverage. 137-147 - Chengyi Qu, Jayson Boubin, Durbek Gafurov, Jianfeng Zhou, Noel Aloysius, Henry Nguyen, Prasad Calyam:
UAV Swarms in Smart Agriculture: Experiences and Opportunities. 148-158 - Raul Alejandro Vargas-Acosta, Luis Garnica Chavira, Natalia Villanueva-Rosales, Deana D. Pennington:
Automating Multivariable Workflow Composition for Model-to-Model Integration. 159-170 - Mohsen Sichani, Richard Arnold, Kris Bubendorfer:
Finding the Signal: Near Real-time Data Analysis for Urban Traffic Monitoring on a Distributed Bluetooth Sensor Network. 171-181 - Valentin Honoré, Tu Mai Anh Do, Loïc Pottier, Rafael Ferreira da Silva, Ewa Deelman, Frédéric Suter:
SIM-SITU: A Framework for the Faithful Simulation of in situ Processing. 182-191 - David Abramson, Deborah S. Barkauskas, Jake Carroll, Nicholas D. Condon, Naphak Modhiran, Hoang Nguyen, James Springfield, Daniel Watterson, Chao Jin:
Democratising large scale instrument-based science through e-Infrastructure. 192-203 - Alba González-Cebrián, Luke A. McGuinness, Michael Bradford, Adriana E. Chis, Horacio González-Vélez:
Automatic Versioning of Time Series Datasets: a FAIR Algorithmic Approach. 204-213 - Robert E. Schuler, Carl Kesselman:
Managing Database-Application Co-Evolution in a Scientific Data Ecosystem. 214-224 - Abigail Keller, Jacob Furst, Daniela Raicu, Peter M. Hastings, Roselyne Tchoua:
Text Summarization towards Scientific Information Extraction. 225-235 - Muhammad Asif Suryani, Yannick Wölker, Deepak Sharma, Christian Beth, Klaus Wallmann, Matthias Renz:
A Framework for Extracting Scientific Measurements and Geo-Spatial Information from Scientific Literature. 236-245 - Rosa Filgueira:
frances: A Deep Learning NLP and Text Mining Web Tool to Unlock Historical Digital Collections: A Case Study on the Encyclopaedia Britannica. 246-255 - Ian Lumsden, Jakob Lüttgau, Vanessa Lama, Connor Scully-Allison, Stephanie Brink, Katherine E. Isaacs, Olga Pearce, Michela Taufer:
Enabling Call Path Querying in Hatchet to Identify Performance Bottlenecks in Scientific Applications. 256-266 - Anees Al-Najjar, Nageswara S. V. Rao, Ramanan Sankaran, Maxim A. Ziatdinov, Debangshu Mukherjee, Olga Ovchinnikova, Kevin Roccapriore, Andrew R. Lupini, Sergei V. Kalinin:
Enabling Autonomous Electron Microscopy for Networked Computation and Steering. 267-277 - Daniel S. Karls, Steven M. Clark, Brendon A. Waters, Ryan S. Elliott, Ellad B. Tadmor:
HPC Extensions to the OpenKIM Processing Pipeline. 278-283 - Kshitij Mehta, Ashley Cliff, Frédéric Suter, Angelica M. Walker, Matthew Wolf, Daniel A. Jacobson, Scott Klasky:
Running Ensemble Workflows at Extreme Scale: Lessons Learned and Path Forward. 284-294 - Yi Ju, Adalberto Perez, Stefano Markidis, Philipp Schlatter, Erwin Laure:
Understanding the Impact of Synchronous, Asynchronous, and Hybrid In-Situ Techniques in Computational Fluid Dynamics Applications. 295-305 - Tanvir Ferdousi, Aparna Kishore, Lucas Machi, Dustin Machi, Chris J. Kuhlman, S. S. Ravi:
A Web-Based System for Contagion Simulations on Networked Populations. 306-315 - Johnahan Van Zyl, Hung Du, Srikanth Thudumu, Irini Logothetis, Scott Barnett, Rajesh Vasa, Kon Mouzakis:
Subspace based Anomaly Detection Framework for Point Clouds. 316-325 - Carola Trahms, Yannick Wölker, Patricia Handmann, Martin Visbeck, Matthias Renz:
Data Fusion for Connectivity Analysis between Ocean Regions. 326-335 - Ilkay Altintas, Ismael Pérez, Dmitry Mishin, Adrien Trouillaud, Christopher Irving, John Graham, Mahidhar Tatineni, Thomas A. DeFanti, Shawn Strande, Larry Smarr, Michael L. Norman:
Towards a Dynamic Composability Approach for using Heterogeneous Systems in Remote Sensing. 336-345 - Sandeep Suresh Cranganore, Vincenzo De Maio, Ivona Brandic, Tu Mai Anh Do, Ewa Deelman:
Molecular Dynamics Workflow Decomposition for Hybrid Classic/Quantum Systems. 346-356 - Jorge Ejarque, Pau Andrio, Adam Hospital, Javier Conejero, Daniele Lezzi, Josep Lluis Gelpí, Rosa M. Badia:
The BioExcel methodology for developing dynamic, scalable, reliable and portable computational biomolecular workflows. 357-366 - Yonatan Kurniawan, Cody L. Petrie, Mark K. Transtrum, Ellad B. Tadmor, Ryan S. Elliott, Daniel S. Karls, Mingjian Wen:
Extending OpenKIM with an Uncertainty Quantification Toolkit for Molecular Modeling. 367-377 - Shehtab Zaman, Ethan Ferguson, Cécile Pereira, Denis Akhiyarov, Mauricio Araya-Polo, Kenneth Chiu:
ParticleGrid: Enabling Deep Learning using 3D Representation of Materials. 378-388 - Ria Patel, Ariel Keller Rorabaugh, Paula Olaya, Silvina Caíno-Lores, Georgia Channing, Catherine D. Schuman, Osamu Miyashita, Florence Tama, Michela Taufer:
A Methodology to Generate Efficient Neural Networks for Classification of Scientific Datasets. 389-390 - Mike Simpson, Nik Khadijah Nik Aznan, John Brennan, Paul Watson, Philip James, Jennine Jonczyk:
Generating Synthetic Images & Data to Improve Object Detection in CCTV Footage from Public Transport. 391-392 - Na Li, Siamak Farshidi, Riccardo Bianchi, Spiros Koulouzis, Zhiming Zhao:
Context-Aware Notebook Search in a Jupyter-Based Virtual Research Environment. 393-394 - Miguel Conceição, Alberto Krone-Martins, Antonio da Silva:
Upscaling of Cosmological N-body Simulations. 395-396 - Kevin L. Coakley, Christine R. Kirkpatrick, Odd Erik Gundersen:
Examining the Effect of Implementation Factors on Deep Learning Reproducibility. 397-398 - Aakash Khochare, Yogesh Simmhan, Sameep Mehta, Arvind Agarwal:
Toward Scientific Workflows in a Serverless World. 399-400 - Ciro Giuseppe De Vita, Gennaro Mellone, Diana Di Luccio, Sokol Kosta, Angelo Ciaramella, Raffaele Montella:
AIQUAM: Artificial Intelligence-based water QUAlity Model. 401-402 - Dominic Kennedy, Paula Olaya, Jay F. Lofstead, Rodrigo Vargas, Michela Taufer:
Augmenting Singularity to Generate Fine-grained Workflows, Record Trails, and Data Provenance. 403-404 - Glenn Tarcea, Brian Puchala, Tracy Berman, Giorgio Scorzelli, Valerio Pascucci, Michela Taufer, John Allison:
The Materials Commons Data Repository. 405-406 - Hunter Goddard, Lior Shamir:
Neural Network Bias in Analysis of Galaxy Photometry Data. 407-408 - Ahmed Alnaim, Ziheng Sun:
Using Geoweaver to Make Snow Mapping Workflow FAIR. 409-410 - Ben Lyons, Douglas Thain:
Robust Meta-Workflow Management with Mufasa. 411-412 - Scott Perkey, Alberto Krone-Martins:
Robustness of Sample and Multiscale Entropy Estimators in Noisy and Incomplete Time Series. 413-414 - Khushi Choudhary, Nona Nersisyan, Edward Lin, Shobana Chandrasekaran, Rajiv Mayani, Loïc Pottier, Angela P. Murillo, Nicole K. Virdone, Kerk F. Kee, Ewa Deelman:
Application of Edge-to-Cloud Methods Toward Deep Learning. 415-416 - Christopher Langfield, Joshua Carmichael, Garrett Wright, Joakim Andén, Amit Singer:
Representing Steerable Bases for cryo-EM in ASPIRE. 417-418 - Augustus Ellerm, Benjamin Adams, Mark Gahegan, Lukas Trombach:
Enabling LivePublication. 419-420 - Jae-Seung Yeom, Dong H. Ahn, Ian Lumsden, Jakob Lüttgau, Silvina Caíno-Lores, Michela Taufer:
Ubique: A New Model for Untangling Inter-task Data Dependence in Complex HPC Workflows. 421-422 - Ana Trisovic:
Cluster Analysis of Open Research Data and a Case for Replication Metadata. 423-424 - Fabio Montoni, Ronaldo N. De Sousa, Marcelo B. De Lima Junior, Cristiano G. S. Campos, Willian Wang, Vivian M. Constantino, Cássia S. Sanctos, Hugo Aguirre Armelin, Marcelo da Silva Reis:
Anguix: Cell Signaling Modeling Improvement through Sabio-RK association to Reactome. 425-426 - Valentine Anantharaj, Samuel Hatfield, Inna Polichtchouk, Nils Wedi, Morgan E. O'Neill, Thomas Papatheodore, Peter Dueben:
An open science exploration of global 1-km simulations of the earth's atmosphere. 427-428 - Isaac Nealey, Daniela Encinas Pacheco, Ivannia Gomez Moreno, Melissa Floca, Daniel Crawl, Ilkay Altintas:
A Science-Enabled Virtual Reality Demonstration to Increase Social Acceptance of Prescribed Burns. 429-430 - Irini Logothetis, Scott Barnett, Leonard Hoon, Srikanth Thudumu, Joseph Mathew, Carl Luckhoff, Gerard O'Reilly, David Collard, Rajesh Vasa, Kon Mouzakis, Mark Fitzgerald:
PiMS: A Pre-ML Labelling Tool. 431-432 - Matt Baughman, Ian T. Foster, Kyle Chard:
Exploring Tradeoffs in Federated Learning on Serverless Computing Architectures. 433-434 - Hung Du, Srikanth Thudumu, Sankhya Singh, Scott Barnett, Irini Logothetis, Rajesh Vasa, Kon Mouzakis:
A Framework for Evaluating MRC Approaches with Unanswerable Questions. 435-436 - Layan Bahaidarah, Ethan Hung, Andreas Francisco De Melo Oliveira, Jyotsna Penumaka, Lukas Rosario, Ana Trisovic:
Toward Reusable Science with Readable Code and Reproducibility. 437-439 - Nathan R. Tallent:
ReWorDs 2022 Keynote: Towards Orchestrating Distributed & Data-Intensive Workflows. 442 - Luiz M. R. Gadelha Jr., Martin Hohmuth, Mahnoor Zulfiqar, David Schöne, Sheeba Samuel, Maria Sorokina, Christoph Steinbeck, Birgitta König-Ries:
Toward a Framework for Integrative, FAIR, and Reproducible Management of Data on the Dynamic Balance of Microbial Communities. 443-449 - Jakob Lüttgau, Silvina Caíno-Lores, Kae Suarez, Dong H. Ahn, Stephen Herbein, Michela Taufer:
Reproducing and Extending Analytical Performance Models of Generalized Hierarchical Scheduling. 450-455 - Jim Pruyne, Justin M. Wozniak, Ian T. Foster:
Tracking Dubious Data: Protecting Scientific Workflows from Invalidated Experiments. 456-461 - Parthiv Menon, Vignesh Sekaran, Garima Bajwa:
Reproducibility in Brain-Computer Interface Research: A Replication-Based Analysis. 462-467 - Addi Malviya-Thakur, Reed Milewicz, Samuel Grayson, Philip W. Fackler, James F. Belak, John A. Turner:
Real-World Experiences Adopting Workflows at Exascale on the ExaAM Project. 468-474 - Jamila Alsayed Kassem, Adam Belloum, Tim Müller, Paola Grosso:
Utilisation Profiles of Bridging Function Chain for Healthcare Use Cases. 475-480 - Christopher A. Esterhuyse, Tim Müller, L. Thomas van Binsbergen, Adam S. Z. Belloum:
Exploring the Enforcement of Private, Dynamic Policies on Medical Workflow Execution. 481-486 - Kessy Abarenkov, Anne Fouilloux, Helmut Neukirchen, Abdulrahman Azab:
Reproducible Cross-border High Performance Computing for Scientific Portals. 487-492 - Tyler J. Skluzacek, Kyle Chard, Ian T. Foster:
Automated metadata extraction: challenges and opportunities. 495-500 - Hana Ahmed, Roselyne Tchoua, Jay F. Lofstead:
Failure Sources in Machine Learning for Medicine - A Study. 501-506 - Sean R. Wilkinson, Greg Eisenhauer, Anuj J. Kapadia, Kathryn Knight, Jeremy Logan, Patrick M. Widener, Matthew Wolf:
F*** workflows: when parts of FAIR are missing. 507-512 - Srinivasan Ramesh, Mikhail Titov, Matteo Turilli, Shantenu Jha, Allen D. Malony:
The Ghost of Performance Reproducibility Past. 513-518 - Sebastian Müller, Valentin Gogoll, Anh Duc Vu, Timo Kehrer, Lars Grunske:
Automatically finding Metamorphic Relations in Computational Material Science Parsers. 521-528 - Matthias Book, Morris Riedel, Helmut Neukirchen, Ernir Erlingsson:
Facilitating Collaboration in Machine Learning and High-Performance Computing Projects with an Interaction Room. 529-538 - Caleb Jackson:
RSE-eScience 2022 Keynote: How to Grow Diverse and Sustainable Teams through Mentorship. 541 - Nicole Brewer, Robert Campbell, Rajesh Kalyanam, I Luk Kim, Carol X. Song, Lan Zhao:
Benefits and Limitations of Jupyter-based Scientific Web Applications. 542-550 - Evan Harvey, Reed Milewicz, Christian Trott, Luc Berger-Vergiat, Siva Rajamanickam:
Half-Precision Scalar Support in Kokkos and Kokkos Kernels: An Engineering Study and Experience Report. 551-560
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