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18th 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
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
Identifying Structural Properties of Proteins from X-ray Free Electron Laser Diffraction Patterns. 21-31 - Dong H. Ahn, Xiaohua Zhang
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
Infection Transmission Ontology: Standardization of Infection Transmission Data. 65-73 - Michael Sieverts
Multi-Tissue Analysis Using Synchrotron Radiation Micro-CT Images. 74-83 - Mauro Lemus Alarcon, Songjie Wang, Nguyen P. Nguyen, Ashish Pandey, Filiz Bunyak
Remote Instrumentation Science Environment for Intelligent Image Analytics. 84-94 - Honghao Liu, Qiong Luo
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
CloudNet: A Deep Learning Approach for Mitigating Occlusions in Landsat-8 Imagery using Data Coalescence. 117-127 - Edigley Fraga, Ana Cortés, Tomàs Margalef
Efficient Cloud-Based Calibration of Input Data for Forest Fire Spread Prediction. 128-136 - Peter Gu, Tamás Budavári
Towards Optimal Line of Sight Coverage. 137-147 - Chengyi Qu
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
SIM-SITU: A Framework for the Faithful Simulation of in situ Processing. 182-191 - David Abramson
Democratising large scale instrument-based science through e-Infrastructure. 192-203 - Alba González-Cebrián, Luke A. McGuinness, Michael Bradford, Adriana E. Chis
Automatic Versioning of Time Series Datasets: a FAIR Algorithmic Approach. 204-213 - Robert E. Schuler
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
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
Enabling Autonomous Electron Microscopy for Networked Computation and Steering. 267-277 - Daniel S. Karls
HPC Extensions to the OpenKIM Processing Pipeline. 278-283 - Kshitij Mehta
Running Ensemble Workflows at Extreme Scale: Lessons Learned and Path Forward. 284-294 - Yi Ju
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
Subspace based Anomaly Detection Framework for Point Clouds. 316-325 - Carola Trahms, Yannick Wölker
Data Fusion for Connectivity Analysis between Ocean Regions. 326-335 - Ilkay Altintas, Ismael Pérez, Dmitry Mishin, Adrien Trouillaud, Christopher Irving, John Graham, Mahidhar Tatineni
Towards a Dynamic Composability Approach for using Heterogeneous Systems in Remote Sensing. 336-345 - Sandeep Suresh Cranganore
Molecular Dynamics Workflow Decomposition for Hybrid Classic/Quantum Systems. 346-356 - Jorge Ejarque, Pau Andrio
The BioExcel methodology for developing dynamic, scalable, reliable and portable computational biomolecular workflows. 357-366 - Yonatan Kurniawan
Extending OpenKIM with an Uncertainty Quantification Toolkit for Molecular Modeling. 367-377 - Shehtab Zaman
ParticleGrid: Enabling Deep Learning using 3D Representation of Materials. 378-388 - Ria Patel, Ariel Keller Rorabaugh, Paula Olaya, Silvina Caíno-Lores, Georgia Channing
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
Context-Aware Notebook Search in a Jupyter-Based Virtual Research Environment. 393-394 - Miguel Conceição, Alberto Krone-Martins
Upscaling of Cosmological N-body Simulations. 395-396 - Kevin L. Coakley
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
AIQUAM: Artificial Intelligence-based water QUAlity Model. 401-402 - Dominic Kennedy, Paula Olaya, Jay F. Lofstead
Augmenting Singularity to Generate Fine-grained Workflows, Record Trails, and Data Provenance. 403-404 - Glenn Tarcea, Brian Puchala, Tracy Berman
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
Application of Edge-to-Cloud Methods Toward Deep Learning. 415-416 - Christopher Langfield
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
A Science-Enabled Virtual Reality Demonstration to Increase Social Acceptance of Prescribed Burns. 429-430 - Irini Logothetis, Scott Barnett, Leonard Hoon
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
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.
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
Real-World Experiences Adopting Workflows at Exascale on the ExaAM Project. 468-474 - Jamila Alsayed Kassem, Adam Belloum, Tim Müller
Utilisation Profiles of Bridging Function Chain for Healthcare Use Cases. 475-480 - Christopher A. Esterhuyse
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
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
F*** workflows: when parts of FAIR are missing. 507-512 - Srinivasan Ramesh, Mikhail Titov
The Ghost of Performance Reproducibility Past. 513-518 - Sebastian Müller
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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