| 2024 | 20th IEEE International Conference on e-Science, e-Science 2024, Osaka, Japan, September 16-20, 2024 |
| 2024 | A Collaborative Framework for Facilitating Federated Learning among Jupyter Users. Anandan Krishnasamy, Yuandou Wang, Zhiming Zhao |
| 2024 | A General Framework for Error-controlled Unstructured Scientific Data Compression. Qian Gong, Zhe Wang, Viktor Reshniak, Xin Liang, Jieyang Chen, Qing Liu, Tushar M. Athawale, Yi Ju, Anand Rangarajan, Sanjay Ranka, Norbert Podhorszki, Rick Archibald, Scott Klasky |
| 2024 | A Generic Performance Metric for Scientific Data Compression. Zhenlu Qin, Jessie Gu, Maggie Liu, Jinzhen Wang, Hongjian Zhu |
| 2024 | A Performance Comparison of Convolutional Neural Networks and Transformer-Based Models for Classification of the Spread of Bushfires. Taylor Tang, Glenn T. Jayaputera, Richard O. Sinnott |
| 2024 | A Personalized AI Assistant For Intuition-Driven Visual Explorations. James Hammer, Tanner Hobson, David Pugmire, Scott Klasky, Kenneth Moreland, Jian Huang |
| 2024 | AI for precision medicine must keep non-random complexity in mind to support equity in outcomes. Benjamin L. Smarr |
| 2024 | AI in Space for Scientific Missions: Strategies for Minimizing Neural-Network Model Upload. Jonah Ekelund, Ricardo Vinuesa, Yuri V. Khotyaintsev, Pierre Henri, Gian Luca Delzanno, Stefano Markidis |
| 2024 | Accelerating In-transit Isosurface Generation With Topology Preserving Compression. Yanliang Li, Jieyang Chen |
| 2024 | Advancing frances: New Heritage Textual Ontology, Enhanced Knowledge Graphs, and Refined Search Capabilities. Lilin Yu, Ash Charlton, Melissa Terras, Rosa Filgueira |
| 2024 | An Analysis of Research Data Storage Systems. Jake Carroll, David Abramson, Bronis R. de Supinski |
| 2024 | An Empirical Investigation of Container Building Strategies and Warm Times to Reduce Cold Starts in Scientific Computing Serverless Functions. André Bauer, Maxime Gonthier, Haochen Pan, Ryan Chard, Daniel Grzenda, Martin Straesser, J. Gregory Pauloski, Alok Kamatar, Matt Baughman, Nathaniel Hudson, Ian T. Foster, Kyle Chard |
| 2024 | An Enhanced Credit-Based Shaper for Resilience to Time-Sync Misalignment. Kohei Taniguchi, Arata Endo, Hirotake Abe, Chonho Lee, Kundjanasith Thonglek, Wassapon Watanakeesuntorn, Junya Yamamoto, Susumu Date |
| 2024 | AstroMAE: Redshift Prediction Using a Masked Autoencoder with a Novel Fine-Tuning Architecture. Amirreza Dolatpour Fathkouhi, Geoffrey Charles Fox |
| 2024 | Automated Calibration of a Simulator of MPI Application Executions. Yick Ching Wong, Frédéric Suter, Kshitij Mehta, Henri Casanova, Jesse McDonald |
| 2024 | Autonomous Electrochemistry Platform with Real-Time Normality Testing of Voltammetry Measurements Using ML. Anees Al-Najjar, Nageswara S. V. Rao, Craig A. Bridges, Sheng Dai, Alex Walters |
| 2024 | Bridging the Data Skills Gap: The Role of the UK's National Innovation Centre for Data and its Data Innovation Bootcamp. Barry Hodgson |
| 2024 | CHARM-SYCL & IRIS: A Tool Chain for Performance Portability on Extremely Heterogeneous Systems. Norihisa Fujita, Beau Johnston, Narasinga Rao Miniskar, Ryohei Kobayashi, Mohammad Alaul Haque Monil, Keita Teranishi, Seyong Lee, Jeffrey S. Vetter, Taisuke Boku |
| 2024 | Citizens4Climate - A dashboard to support citizen science activities for climate action. Sasa Vranic, Antonella Galizia, Antonio Parodi, Ulrike Falk, Paolo Mazzetti, Milan Kalas, Joy Ommer |
| 2024 | Creating Thriving Data-Centric Communities from Basic Research to Commercial Applications. Robert Schuler, Carl Kesselman |
| 2024 | CrowdAL: Towards a Blockchain-empowered Active Learning System in Crowd Data Labeling. Shaojie Hou, Yuandou Wang, Zhiming Zhao |
| 2024 | CuttleFlow: Infrastructure-Specific Workflow Adaption for Improved Reusability. Ninon De Mecquenem, Simon Bosse, Vasilis Bountris, Somayeh Mohammadi, Knut Reinert, Ulf Leser |
| 2024 | Data Drift for Automatic FAIR-compliant Dataset Versioning in Large Repositories. Alba González-Cebrián, Iulian Ciolacu, Michael Bradford, Ciprian Dobre, Horacio González-Vélez |
| 2024 | Data Skills for the Future: Leveraging University-Industry Collaborations. Rhetta Chappell |
| 2024 | Deriva-ML: A Continuous FAIRness Approach to Reproducible Machine Learning Models. Zhiwei Li, Carl Kesselman, Mike D'Arcy, Michael Pazzani, Benjamin Yizing Xu |
| 2024 | Diaspora: Resilience-Enabling Services for Real-Time Distributed Workflows. Bogdan Nicolae, Justin M. Wozniak, Tekin Bicer, Hai Nguyen, Parth Patel, Haochen Pan, Amal Gueroudji, Maxime Gonthier, Valérie Hayot-Sasson, Eliu A. Huerta, Kyle Chard, Ryan Chard, Matthieu Dorier, Nageswara S. V. Rao, Anees Al-Najjar, Alessandra Corsi, Ian T. Foster |
| 2024 | Discovering Research Areas in Dataset Applications through Knowledge Graphs and Large Language Models. Irina Gerasimov, Armin Mehrabian, Binita KC, Jerome Alfred, Michael P. McGuire |
| 2024 | Dynamic Tracking, MLOps, and Workflow Integration: Enabling Transparent Reproducibility in Machine Learning. Hamza Safri, George Papadimitriou, Ewa Deelman |
| 2024 | Economy-based Greedy Bidding for Resources for CAE Workflows in Hybrid Cloud Infrastructure. Srishti Dasgupta, Tähvend Uustalu, Michael Gerndt, Babak Gholami |
| 2024 | Enhancing Autonomous Intrusion Detection System with Generative Adversarial Networks. Kevin Kostage, David West, Tim Meinert, Chengyi Qu, Prasad Calyam, Luca Mazzola |
| 2024 | Enhancing Bayesian Optimization with NLML-Based Transfer Learning. Yanchen Li, Taku Tsuzuki |
| 2024 | Estimating Metadata of Research Artifacts to Enhance their Findability. Koichiro Ito, Shigeki Matsubara |
| 2024 | Evaluating Active-learning Based Performance Prediction of Parallel Applications. Shivam Aggarwal, Preeti Malakar |
| 2024 | FAIR Assessment of Cloud-based Experiments. Krishna Kamath, Nicole Brewer, Tanu Malik |
| 2024 | FAIR Metrics for Motivating Excellence in Peer Review. Adam Craig, Carl Taswell |
| 2024 | FaaSr: Cross-Platform Function-as-a-Service Serverless Scientific Workflows in R. Sungjae Park, R. Quinn Thomas, Cayelan C. Carey, Austin D. Delany, Yun-Jung Ku, Mary E. Lofton, Renato J. O. Figueiredo |
| 2024 | Federated Learning and Crowdsourced Weather Data: Practice and Experience. Ciro Giuseppe De Vita, Gennaro Mellone, Angelo Casolaro, Massimiliano Giordano Orsini, José Luis González, Angelo Ciaramella |
| 2024 | Generative AI for Research Data Processing: Lessons Learnt From Three Use Cases. Modhurita Mitra, Martine G. de Vos, Nicola Cortinovis, Dawa Ometto |
| 2024 | Griffin: Fast Transactional Database Index with Hash and B+-Tree. Sho Nakazono, Yutaro Bessho, Hideyuki Kawashima, Tatsuhiro Nakamori |
| 2024 | How to Make eScience Work in the Real-World: from AVs to AI. Miles Elsden |
| 2024 | I/O of Scientific Workflows Monitored in Detail. Joel Witzke, Ansgar Lößer, Vasilis Bountris, Florian Schintke, Björn Scheuermann |
| 2024 | KS+: Predicting Workflow Task Memory Usage Over Time. Jonathan Bader, Ansgar Lößer, Lauritz Thamsen, Björn Scheuermann, Odej Kao |
| 2024 | MTP: A Cloud-based Real-time Mobile Tele-medicine Platform - Systems Paper. Glenn T. Jayaputera, Andrew Bivard, Ivo Widjaya, James W. Jayaputera, Rio Susanto, Yunjie Jia, Yao Pan, Richard O. Sinnott |
| 2024 | Mission Reproducibility: An Investigation on Reproducibility Issues in Machine Learning and Information Retrieval Research. Moritz Staudinger, Bettina M. J. Kern, Tomasz Miksa, Lukas Arnhold, Peter Knees, Andreas Rauber, Allan Hanbury |
| 2024 | Mitigating memory latency in FM Index search. Igor Sfiligoi, Daniel McDonald, Rob Knight |
| 2024 | Morbius: Platform-Adaptive Hardware Accelerator for Scalable Sequence Motif Discovery. Se-Min Lim, Esmerald Aliaj, Sang-Woo Jun |
| 2024 | Multi-Level AI-Driven Analysis of Software Repository Similarities. Honglin Zhang, Leyu Zhang, Lei Fang, Rosa Filgueira |
| 2024 | On Modeling User-Aware Proactive Communication in Conversational Recommendation Systems Amarnath Gupta |
| 2024 | On the Design of a Searchable Encryption Protocol for Keyword Search using Proactive Secret Sharing. Praveen K, Gabriel Anand K. S, Indranil Ghosh Ray, Avishek Adhikari, Sabyasachi Datta, Arnab Kumar Biswas |
| 2024 | Patra ModelCards: AI/ML Accountability in the Edge-Cloud Continuum. Sachith Withana, Beth Plale |
| 2024 | Ponder: Online Prediction of Task Memory Requirements for Scientific Workflows. Fabian Lehmann, Jonathan Bader, Ninon De Mecquenem, Xing Wang, Vasilis Bountris, Florian Friederici, Ulf Leser, Lauritz Thamsen |
| 2024 | Predicting Alzheimer's Disease and Mild Cognitive Impairment with Off-line and On-line House Drawing Tests. Nina Hosseini-Kivanani, Elena Salobrar-García, Lorena Elvira-Hurtado, Mario Salas, Christoph Schommer, Luis A. Leiva |
| 2024 | Predicting Gas in 3D Dark Matter N-body Simulations with Convolutional Neural Networks. Miguel Conceição, Alberto Krone-Martins, Antonio da Silva |
| 2024 | Processing FHIR in modern Data Lakehouse. Shreyas Patil, A. S. Z. Adam Belloum |
| 2024 | Project-Specific Research Data Management Beyond Repositories for FAIR Research Practice. Steffen Strohm, Yannick Wölker, Matthias Renz |
| 2024 | Protocol-Level Kafka Controls in a Customizable Proxy. Rein F. Spanjer, Adam S. Z. Belloum |
| 2024 | Reproducibility in Named Entity Recognition: A Case Study Analysis. Carlos Cuevas Villarmin, Sarah Cohen-Boulakia, Nona Naderi |
| 2024 | SFETEC: Split-FEderated Learning Scheme Optimized for Thing-Edge-Cloud Environment. Van An Le, Jason Haga, Yusuke Tanimura, Truong Thao Nguyen |
| 2024 | Streamlined Edge Computing for Fire Science and Management using WIFIRE Edge. Ilkay Altintas, Shweta Purawat, Ismael Pérez, Jenny Lee, Melissa Floca, Jessica Block, Josh Breslow, Daniel Crawl |
| 2024 | TaPS: A Performance Evaluation Suite for Task-based Execution Frameworks. J. Gregory Pauloski, Valérie Hayot-Sasson, Maxime Gonthier, Nathaniel Hudson, Haochen Pan, Sicheng Zhou, Ian T. Foster, Kyle Chard |
| 2024 | The Yeti in us - An app to facilitate behaviour change step by step. Joy Ommer, Sasa Vranic, Milan Kalas, Muhammad Adnan, Carlo Trozzi, Antonio Parodi |
| 2024 | There is Strength in Numbers: A Comprehensive Study of Machine Learning Algorithms for Sex Identification on Animal Bone Remains. Nadine Sarah Schüler, Ptolemaios D. Paxinos, Jing Yuan, Maximilian von Zastrow, Joris Peters, Peer Kröger |
| 2024 | Top Research Challenges and Opportunities for Near Real-Time Extreme-Scale Visualization of Scientific Data. David Pugmire, Kenneth Moreland, Tushar M. Athawale, James Hammer, Jian Huang |
| 2024 | Toward Reliable Biodiversity Information Extraction From Large Language Models. Michael Elliott, José A. B. Fortes |
| 2024 | Towards Development of University-wide Data Aggregation and Management Infrastructure for Research Data Utilization. Hideyuki Tanushi, Hiroshi Furutani, Takeo Hosomi, Naoto Kai, Kaname Harumoto, Susumu Date |
| 2024 | Towards Resilient Near Real-Time Analysis Workflows in Fusion Energy Science. Frédéric Suter, Norbert Podhorszki, Scott Klasky |
| 2024 | Traffic-aware GTS Allocation Interval Determination for IEEE 802.15.4 DSME Networks. Inhyeok Kang, Sol-Bee Lee, Jung-Hyok Kwon, Eui-Jik Kim |
| 2024 | Workflow Provenance in the Computing Continuum for Responsible, Trustworthy, and Energy-Efficient AI. Renan Souza, Silvina Caíno-Lores, Mark Coletti, Tyler J. Skluzacek, Alexandru Costan, Frédéric Suter, Marta Mattoso, Rafael Ferreira da Silva |
| 2024 | X Marks the Spot? Applying Recent Keypoint Detection Methods to Paleozoological Landmarking. Nadine Sarah Schüler, Maximilian von Zastrow, Nadja Pöllath, Claudius Zelenka, Joris Peters |