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