Abstract is missing.
- Processing FHIR in modern Data LakehouseShreyas Patil, A. S. Z. Adam Belloum. 1-7 [doi]
- I/O of Scientific Workflows Monitored in DetailJoel Witzke, Ansgar Lößer, Vasilis Bountris, Florian Schintke, Björn Scheuermann 0001. 1-2 [doi]
- Data Skills for the Future: Leveraging University-Industry CollaborationsRhetta Chappell. 1-4 [doi]
- An Enhanced Credit-Based Shaper for Resilience to Time-Sync MisalignmentKohei Taniguchi, Arata Endo, Hirotake Abe, Chonho Lee, Kundjanasith Thonglek, Wassapon Watanakeesuntorn, Junya Yamamoto, Susumu Date. 1-2 [doi]
- Federated Learning and Crowdsourced Weather Data: Practice and ExperienceCiro Giuseppe De Vita, Gennaro Mellone, Angelo Casolaro, Massimiliano Giordano Orsini, José Luis González 0002, Angelo Ciaramella. 1-9 [doi]
- Traffic-aware GTS Allocation Interval Determination for IEEE 802.15.4 DSME NetworksInhyeok Kang, Sol-Bee Lee, Jung-Hyok Kwon, Eui Jik Kim. 1-2 [doi]
- Mitigating memory latency in FM Index searchIgor Sfiligoi, Daniel McDonald, Rob Knight 0001. 1-2 [doi]
- Griffin: Fast Transactional Database Index with Hash and B+-TreeSho Nakazono, Yutaro Bessho, Hideyuki Kawashima, Tatsuhiro Nakamori. 1-10 [doi]
- Generative AI for Research Data Processing: Lessons Learnt From Three Use CasesModhurita Mitra, Martine G. de Vos, Nicola Cortinovis, Dawa Ometto. 1-10 [doi]
- On the Design of a Searchable Encryption Protocol for Keyword Search using Proactive Secret SharingPraveen K, Gabriel Anand K. S, Indranil Ghosh Ray, Avishek Adhikari, Sabyasachi Datta, Arnab Kumar Biswas. 1-8 [doi]
- FAIR Metrics for Motivating Excellence in Peer ReviewAdam Craig, Carl Taswell. 1-2 [doi]
- A Performance Comparison of Convolutional Neural Networks and Transformer-Based Models for Classification of the Spread of BushfiresTaylor Tang, Glenn T. Jayaputera, Richard O. Sinnott. 1-9 [doi]
- A Personalized AI Assistant For Intuition-Driven Visual ExplorationsJames Hammer, Tanner Hobson, David Pugmire, Scott Klasky, Kenneth Moreland, Jian Huang 0007. 1-10 [doi]
- Streamlined Edge Computing for Fire Science and Management using WIFIRE EdgeIlkay Altintas, Shweta Purawat, Ismael Pérez, Jenny Lee, Melissa Floca, Jessica Block, Josh Breslow, Daniel Crawl. 1-10 [doi]
- CHARM-SYCL & IRIS: A Tool Chain for Performance Portability on Extremely Heterogeneous SystemsNorihisa Fujita, Beau Johnston, Narasinga Rao Miniskar, Ryohei Kobayashi, Mohammad Alaul Haque Monil, Keita Teranishi, Seyong Lee, Jeffrey S. Vetter, Taisuke Boku. 1-10 [doi]
- Discovering Research Areas in Dataset Applications through Knowledge Graphs and Large Language ModelsIrina Gerasimov, Armin Mehrabian, Binita KC, Jerome Alfred, Michael P. McGuire. 1-10 [doi]
- TaPS: A Performance Evaluation Suite for Task-based Execution FrameworksJ. Gregory Pauloski, Valérie Hayot-Sasson, Maxime Gonthier, Nathaniel Hudson, Haochen Pan, Sicheng Zhou, Ian T. Foster, Kyle Chard. 1-10 [doi]
- Automated Calibration of a Simulator of MPI Application ExecutionsYick Ching Wong, Frédéric Suter, Kshitij Mehta, Henri Casanova, Jesse McDonald. 1-2 [doi]
- Estimating Metadata of Research Artifacts to Enhance their FindabilityKoichiro Ito, Shigeki Matsubara. 1-2 [doi]
- Creating Thriving Data-Centric Communities from Basic Research to Commercial ApplicationsRobert Schuler, Carl Kesselman. 1-3 [doi]
- X Marks the Spot? Applying Recent Keypoint Detection Methods to Paleozoological LandmarkingNadine Sarah Schüler, Maximilian von Zastrow, Nadja Pöllath, Claudius Zelenka, Joris Peters. 1-2 [doi]
- Towards Development of University-wide Data Aggregation and Management Infrastructure for Research Data UtilizationHideyuki Tanushi, Hiroshi Furutani, Takeo Hosomi, Naoto Kai, Kaname Harumoto, Susumu Date. 1-4 [doi]
- Towards Resilient Near Real-Time Analysis Workflows in Fusion Energy ScienceFrédéric Suter, Norbert Podhorszki, Scott Klasky. 1-6 [doi]
- Deriva-ML: A Continuous FAIRness Approach to Reproducible Machine Learning ModelsZhiwei Li, Carl Kesselman, Mike D'Arcy, Michael Pazzani, Benjamin Yizing Xu. 1-10 [doi]
- CuttleFlow: Infrastructure-Specific Workflow Adaption for Improved ReusabilityNinon De Mecquenem, Simon Bosse, Vasilis Bountris, Somayeh Mohammadi, Knut Reinert, Ulf Leser. 1-10 [doi]
- Citizens4Climate - A dashboard to support citizen science activities for climate actionSasa Vranic, Antonella Galizia, Antonio Parodi, Ulrike Falk, Paolo Mazzetti, Milan Kalas, Joy Ommer. 1-7 [doi]
- Data Drift for Automatic FAIR-compliant Dataset Versioning in Large RepositoriesAlba González-Cebrián, Iulian Ciolacu, Michael Bradford, Ciprian Dobre, Horacio González-Vélez. 1-10 [doi]
- Protocol-Level Kafka Controls in a Customizable ProxyRein F. Spanjer, Adam S. Z. Belloum. 1-2 [doi]
- Evaluating Active-learning Based Performance Prediction of Parallel ApplicationsShivam Aggarwal, Preeti Malakar. 1-10 [doi]
- Reproducibility in Named Entity Recognition: A Case Study AnalysisCarlos Cuevas Villarmin, Sarah Cohen Boulakia, Nona Naderi. 1-10 [doi]
- A Collaborative Framework for Facilitating Federated Learning among Jupyter UsersAnandan Krishnasamy, Yuandou Wang, Zhiming Zhao. 1-2 [doi]
- SFETEC: Split-FEderated Learning Scheme Optimized for Thing-Edge-Cloud EnvironmentVan An Le, Jason Haga, Yusuke Tanimura, Truong Thao Nguyen. 1-2 [doi]
- An Analysis of Research Data Storage SystemsJake Carroll, David Abramson 0001, Bronis R. de Supinski. 1-9 [doi]
- Enhancing Bayesian Optimization with NLML-Based Transfer LearningYanchen Li, Taku Tsuzuki. 1-2 [doi]
- Bridging the Data Skills Gap: The Role of the UK's National Innovation Centre for Data and its Data Innovation BootcampBarry Hodgson. 1-4 [doi]
- An Empirical Investigation of Container Building Strategies and Warm Times to Reduce Cold Starts in Scientific Computing Serverless FunctionsAndré Bauer 0001, Maxime Gonthier, Haochen Pan, Ryan Chard, Daniel Grzenda, Martin Straesser, J. Gregory Pauloski, Alok Kamatar, Matt Baughman, Nathaniel Hudson, Ian T. Foster, Kyle Chard. 1-10 [doi]
- AI in Space for Scientific Missions: Strategies for Minimizing Neural-Network Model UploadJonah Ekelund, Ricardo Vinuesa, Yuri V. Khotyaintsev, Pierre Henri, Gian Luca Delzanno, Stefano Markidis. 1-10 [doi]
- *Amarnath Gupta. 1-6 [doi]
- Advancing frances: New Heritage Textual Ontology, Enhanced Knowledge Graphs, and Refined Search CapabilitiesLilin Yu, Ash Charlton, Melissa Terras, Rosa Filgueira. 1-10 [doi]
- Mission Reproducibility: An Investigation on Reproducibility Issues in Machine Learning and Information Retrieval ResearchMoritz Staudinger, Bettina M. J. Kern, Tomasz Miksa, Lukas Arnhold, Peter Knees, Andreas Rauber, Allan Hanbury. 1-9 [doi]
- Diaspora: Resilience-Enabling Services for Real-Time Distributed WorkflowsBogdan 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. 1-9 [doi]
- Workflow Provenance in the Computing Continuum for Responsible, Trustworthy, and Energy-Efficient AIRenan Souza 0001, Silvina Caíno-Lores, Mark Coletti, Tyler J. Skluzacek, Alexandru Costan, Frédéric Suter, Marta Mattoso, Rafael Ferreira da Silva. 1-7 [doi]
- Ponder: Online Prediction of Task Memory Requirements for Scientific WorkflowsFabian Lehmann, Jonathan Bader, Ninon De Mecquenem, Xing Wang, Vasilis Bountris, Florian Friederici, Ulf Leser, Lauritz Thamsen. 1-10 [doi]
- Accelerating In-transit Isosurface Generation With Topology Preserving CompressionYanliang Li, Jieyang Chen. 1-3 [doi]
- Toward Reliable Biodiversity Information Extraction From Large Language ModelsMichael Elliott, José A. B. Fortes. 1-10 [doi]
- FaaSr: Cross-Platform Function-as-a-Service Serverless Scientific Workflows in RSungjae Park, R. Quinn Thomas, Cayelan C. Carey, Austin D. Delany, Yun-Jung Ku, Mary E. Lofton, Renato J. O. Figueiredo. 1-10 [doi]
- There is Strength in Numbers: A Comprehensive Study of Machine Learning Algorithms for Sex Identification on Animal Bone RemainsNadine Sarah Schüler, Ptolemaios D. Paxinos, Jing Yuan, Maximilian von Zastrow, Joris Peters, Peer Kröger. 1-10 [doi]
- Patra ModelCards: AI/ML Accountability in the Edge-Cloud ContinuumSachith Withana, Beth Plale. 1-10 [doi]
- Morbius: Platform-Adaptive Hardware Accelerator for Scalable Sequence Motif DiscoverySe-Min Lim, Esmerald Aliaj, Sang-Woo Jun. 1-10 [doi]
- Project-Specific Research Data Management Beyond Repositories for FAIR Research PracticeSteffen Strohm, Yannick Wölker, Matthias Renz. 1-2 [doi]
- Predicting Gas in 3D Dark Matter N-body Simulations with Convolutional Neural NetworksMiguel Conceição, Alberto Krone-Martins, Antonio da Silva 0002. 1-9 [doi]
- FAIR Assessment of Cloud-based ExperimentsKrishna Kamath, Nicole Brewer, Tanu Malik. 1-6 [doi]
- A Generic Performance Metric for Scientific Data CompressionZhenlu Qin, Jessie Gu, Maggie Liu, Jinzhen Wang, Hongjian Zhu. 1-3 [doi]
- AI for precision medicine must keep non-random complexity in mind to support equity in outcomesBenjamin L. Smarr. 1-7 [doi]
- A General Framework for Error-controlled Unstructured Scientific Data CompressionQian Gong, Zhe Wang, Viktor Reshniak, Xin Liang 0001, Jieyang Chen, Qing Liu 0002, Tushar M. Athawale, Yi Ju, Anand Rangarajan 0001, Sanjay Ranka, Norbert Podhorszki, Rick Archibald, Scott Klasky. 1-10 [doi]
- Autonomous Electrochemistry Platform with Real-Time Normality Testing of Voltammetry Measurements Using MLAnees Al-Najjar, Nageswara S. V. Rao, Craig A. Bridges, Sheng Dai, Alex Walters. 1-10 [doi]
- Enhancing Autonomous Intrusion Detection System with Generative Adversarial NetworksKevin Kostage, David West, Tim Meinert, Chengyi Qu, Prasad Calyam, Luca Mazzola. 1-10 [doi]
- MTP: A Cloud-based Real-time Mobile Tele-medicine Platform - Systems PaperGlenn T. Jayaputera, Andrew Bivard, Ivo Widjaya, James W. Jayaputera, Rio Susanto, Yunjie Jia, Yao Pan, Richard O. Sinnott. 1-9 [doi]
- Economy-based Greedy Bidding for Resources for CAE Workflows in Hybrid Cloud InfrastructureSrishti Dasgupta, Tähvend Uustalu, Michael Gerndt, Babak Gholami. 1-7 [doi]
- How to Make eScience Work in the Real-World: from AVs to AIMiles Elsden. 1-3 [doi]
- KS+: Predicting Workflow Task Memory Usage Over TimeJonathan Bader, Ansgar Lößer, Lauritz Thamsen, Björn Scheuermann 0001, Odej Kao. 1-7 [doi]
- Predicting Alzheimer's Disease and Mild Cognitive Impairment with Off-line and On-line House Drawing TestsNina Hosseini-Kivanani, Elena Salobrar-García, Lorena Elvira-Hurtado, Mario Salas, Christoph Schommer, Luis A. Leiva. 1-10 [doi]
- Multi-Level AI-Driven Analysis of Software Repository SimilaritiesHonglin Zhang, Leyu Zhang, Lei Fang, Rosa Filgueira. 1-10 [doi]
- CrowdAL: Towards a Blockchain-empowered Active Learning System in Crowd Data LabelingShaojie Hou, Yuandou Wang, Zhiming Zhao. 1-2 [doi]
- Top Research Challenges and Opportunities for Near Real-Time Extreme-Scale Visualization of Scientific DataDavid Pugmire, Kenneth Moreland, Tushar M. Athawale, James Hammer, Jian Huang 0007. 1-6 [doi]
- Dynamic Tracking, MLOps, and Workflow Integration: Enabling Transparent Reproducibility in Machine LearningHamza Safri, George Papadimitriou 0002, Ewa Deelman. 1-10 [doi]
- AstroMAE: Redshift Prediction Using a Masked Autoencoder with a Novel Fine-Tuning ArchitectureAmirreza Dolatpour Fathkouhi, Geoffrey Charles Fox. 1-10 [doi]
- The Yeti in us - An app to facilitate behaviour change step by stepJoy Ommer, Sasa Vranic, Milan Kalas, Muhammad Adnan, Carlo Trozzi, Antonio Parodi. 1-7 [doi]