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ORCID20th eScience 2024: Osaka, Japan
- 20th IEEE International Conference on e-Science, e-Science 2024, Osaka, Japan, September 16-20, 2024. IEEE 2024, ISBN 979-8-3503-6561-0
- Shaojie Hou, Yuandou Wang, Zhiming Zhao:
CrowdAL: Towards a Blockchain-empowered Active Learning System in Crowd Data Labeling. 1-2 - Lilin Yu, Ash Charlton, Melissa Terras, Rosa Filgueira:
Advancing frances: New Heritage Textual Ontology, Enhanced Knowledge Graphs, and Refined Search Capabilities. 1-10 - Jonathan Bader, Ansgar Lößer, Lauritz Thamsen, Björn Scheuermann, Odej Kao:
KS+: Predicting Workflow Task Memory Usage Over Time. 1-7 - Jake Carroll, David Abramson, Bronis R. de Supinski:
An Analysis of Research Data Storage Systems. 1-9 - Norihisa Fujita, Beau Johnston, Narasinga Rao Miniskar, Ryohei Kobayashi, Mohammad Alaul Haque Monil, Keita Teranishi, Seyong Lee, Jeffrey S. Vetter, Taisuke Boku:
CHARM-SYCL & IRIS: A Tool Chain for Performance Portability on Extremely Heterogeneous Systems. 1-10 - Shreyas Patil, A. S. Z. Adam Belloum:
Processing FHIR in modern Data Lakehouse. 1-7 - Taylor Tang, Glenn T. Jayaputera, Richard O. Sinnott:
A Performance Comparison of Convolutional Neural Networks and Transformer-Based Models for Classification of the Spread of Bushfires. 1-9 - Sungjae Park, R. Quinn Thomas, Cayelan C. Carey, Austin D. Delany, Yun-Jung Ku, Mary E. Lofton, Renato J. O. Figueiredo:
FaaSr: Cross-Platform Function-as-a-Service Serverless Scientific Workflows in R. 1-10 - Fabian Lehmann, Jonathan Bader, Ninon De Mecquenem, Xing Wang, Vasilis Bountris, Florian Friederici, Ulf Leser, Lauritz Thamsen:
Ponder: Online Prediction of Task Memory Requirements for Scientific Workflows. 1-10 - Ninon De Mecquenem, Simon Bosse, Vasilis Bountris, Somayeh Mohammadi, Knut Reinert, Ulf Leser:
CuttleFlow: Infrastructure-Specific Workflow Adaption for Improved Reusability. 1-10 - Inhyeok Kang, Sol-Bee Lee, Jung-Hyok Kwon, Eui-Jik Kim:
Traffic-aware GTS Allocation Interval Determination for IEEE 802.15.4 DSME Networks. 1-2 - Amirreza Dolatpour Fathkouhi, Geoffrey Charles Fox:
AstroMAE: Redshift Prediction Using a Masked Autoencoder with a Novel Fine-Tuning Architecture. 1-10 - Michael Elliott, José A. B. Fortes:
Toward Reliable Biodiversity Information Extraction From Large Language Models. 1-10 - Ilkay Altintas, Shweta Purawat, Ismael Pérez, Jenny Lee, Melissa Floca, Jessica Block, Josh Breslow, Daniel Crawl:
Streamlined Edge Computing for Fire Science and Management using WIFIRE Edge. 1-10 - Irina Gerasimov, Armin Mehrabian, Binita KC, Jerome Alfred, Michael P. McGuire:
Discovering Research Areas in Dataset Applications through Knowledge Graphs and Large Language Models. 1-10 - Kohei Taniguchi, Arata Endo, Hirotake Abe, Chonho Lee, Kundjanasith Thonglek, Wassapon Watanakeesuntorn, Junya Yamamoto, Susumu Date:
An Enhanced Credit-Based Shaper for Resilience to Time-Sync Misalignment. 1-2 - Nadine Sarah Schüler, Maximilian von Zastrow, Nadja Pöllath, Claudius Zelenka, Joris Peters:
X Marks the Spot? Applying Recent Keypoint Detection Methods to Paleozoological Landmarking. 1-2 - J. Gregory Pauloski, Valérie Hayot-Sasson, Maxime Gonthier, Nathaniel Hudson, Haochen Pan, Sicheng Zhou, Ian T. Foster, Kyle Chard:
TaPS: A Performance Evaluation Suite for Task-based Execution Frameworks. 1-10 - Anees Al-Najjar, Nageswara S. V. Rao, Craig A. Bridges, Sheng Dai, Alex Walters:
Autonomous Electrochemistry Platform with Real-Time Normality Testing of Voltammetry Measurements Using ML. 1-10 - Barry Hodgson:
Bridging the Data Skills Gap: The Role of the UK's National Innovation Centre for Data and its Data Innovation Bootcamp. 1-4 - Nadine Sarah Schüler, Ptolemaios D. Paxinos, Jing Yuan, Maximilian von Zastrow, Joris Peters, Peer Kröger:
There is Strength in Numbers: A Comprehensive Study of Machine Learning Algorithms for Sex Identification on Animal Bone Remains. 1-10 - Joy Ommer, Sasa Vranic, Milan Kalas, Muhammad Adnan, Carlo Trozzi, Antonio Parodi:
The Yeti in us - An app to facilitate behaviour change step by step. 1-7 - 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:
An Empirical Investigation of Container Building Strategies and Warm Times to Reduce Cold Starts in Scientific Computing Serverless Functions. 1-10 - Carlos Cuevas Villarmin, Sarah Cohen-Boulakia, Nona Naderi:
Reproducibility in Named Entity Recognition: A Case Study Analysis. 1-10 - Miles Elsden:
How to Make eScience Work in the Real-World: from AVs to AI. 1-3 - Miguel Conceição, Alberto Krone-Martins, Antonio da Silva:
Predicting Gas in 3D Dark Matter N-body Simulations with Convolutional Neural Networks. 1-9 - Rein F. Spanjer, Adam S. Z. Belloum:
Protocol-Level Kafka Controls in a Customizable Proxy. 1-2 - Frédéric Suter, Norbert Podhorszki, Scott Klasky:
Towards Resilient Near Real-Time Analysis Workflows in Fusion Energy Science. 1-6 - Praveen K, Gabriel Anand K. S, Indranil Ghosh Ray, Avishek Adhikari, Sabyasachi Datta, Arnab Kumar Biswas:
On the Design of a Searchable Encryption Protocol for Keyword Search using Proactive Secret Sharing. 1-8 - Yanliang Li, Jieyang Chen:
Accelerating In-transit Isosurface Generation With Topology Preserving Compression. 1-3 - Glenn T. Jayaputera, Andrew Bivard, Ivo Widjaya, James W. Jayaputera, Rio Susanto, Yunjie Jia, Yao Pan, Richard O. Sinnott:
MTP: A Cloud-based Real-time Mobile Tele-medicine Platform - Systems Paper. 1-9 - Robert Schuler, Carl Kesselman:
Creating Thriving Data-Centric Communities from Basic Research to Commercial Applications. 1-3 - Ciro Giuseppe De Vita, Gennaro Mellone, Angelo Casolaro, Massimiliano Giordano Orsini, José Luis González, Angelo Ciaramella:
Federated Learning and Crowdsourced Weather Data: Practice and Experience. 1-9 - Alba González-Cebrián, Iulian Ciolacu, Michael Bradford, Ciprian Dobre, Horacio González-Vélez:
Data Drift for Automatic FAIR-compliant Dataset Versioning in Large Repositories. 1-10 - 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:
Diaspora: Resilience-Enabling Services for Real-Time Distributed Workflows. 1-9 - David Pugmire, Kenneth Moreland, Tushar M. Athawale, James Hammer, Jian Huang:
Top Research Challenges and Opportunities for Near Real-Time Extreme-Scale Visualization of Scientific Data. 1-6 - Sho Nakazono, Yutaro Bessho, Hideyuki Kawashima, Tatsuhiro Nakamori:
Griffin: Fast Transactional Database Index with Hash and B+-Tree. 1-10 - Hamza Safri, George Papadimitriou, Ewa Deelman:
Dynamic Tracking, MLOps, and Workflow Integration: Enabling Transparent Reproducibility in Machine Learning. 1-10 - Moritz Staudinger, Bettina M. J. Kern, Tomasz Miksa, Lukas Arnhold, Peter Knees, Andreas Rauber, Allan Hanbury:
Mission Reproducibility: An Investigation on Reproducibility Issues in Machine Learning and Information Retrieval Research. 1-9 - Amarnath Gupta:
On Modeling User-Aware Proactive Communication in Conversational Recommendation Systems*. 1-6 - 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:
A General Framework for Error-controlled Unstructured Scientific Data Compression. 1-10 - Sachith Withana, Beth Plale:
Patra ModelCards: AI/ML Accountability in the Edge-Cloud Continuum. 1-10 - Zhenlu Qin, Jessie Gu, Maggie Liu, Jinzhen Wang, Hongjian Zhu:
A Generic Performance Metric for Scientific Data Compression. 1-3 - Joel Witzke, Ansgar Lößer, Vasilis Bountris, Florian Schintke, Björn Scheuermann:
I/O of Scientific Workflows Monitored in Detail. 1-2 - Shivam Aggarwal, Preeti Malakar:
Evaluating Active-learning Based Performance Prediction of Parallel Applications. 1-10 - Yanchen Li, Taku Tsuzuki:
Enhancing Bayesian Optimization with NLML-Based Transfer Learning. 1-2 - Adam Craig, Carl Taswell:
FAIR Metrics for Motivating Excellence in Peer Review. 1-2 - Rhetta Chappell:
Data Skills for the Future: Leveraging University-Industry Collaborations. 1-4 - Van An Le, Jason Haga, Yusuke Tanimura, Truong Thao Nguyen:
SFETEC: Split-FEderated Learning Scheme Optimized for Thing-Edge-Cloud Environment. 1-2 - Steffen Strohm, Yannick Wölker, Matthias Renz:
Project-Specific Research Data Management Beyond Repositories for FAIR Research Practice. 1-2 - Hideyuki Tanushi, Hiroshi Furutani, Takeo Hosomi, Naoto Kai, Kaname Harumoto, Susumu Date:
Towards Development of University-wide Data Aggregation and Management Infrastructure for Research Data Utilization. 1-4 - Yick Ching Wong, Frédéric Suter, Kshitij Mehta, Henri Casanova, Jesse McDonald:
Automated Calibration of a Simulator of MPI Application Executions. 1-2 - Jonah Ekelund, Ricardo Vinuesa, Yuri V. Khotyaintsev, Pierre Henri, Gian Luca Delzanno, Stefano Markidis:
AI in Space for Scientific Missions: Strategies for Minimizing Neural-Network Model Upload. 1-10 - Se-Min Lim, Esmerald Aliaj, Sang-Woo Jun:
Morbius: Platform-Adaptive Hardware Accelerator for Scalable Sequence Motif Discovery. 1-10 - Srishti Dasgupta, Tähvend Uustalu, Michael Gerndt, Babak Gholami:
Economy-based Greedy Bidding for Resources for CAE Workflows in Hybrid Cloud Infrastructure. 1-7 - Kevin Kostage, David West, Tim Meinert, Chengyi Qu, Prasad Calyam, Luca Mazzola:
Enhancing Autonomous Intrusion Detection System with Generative Adversarial Networks. 1-10 - Zhiwei Li, Carl Kesselman, Mike D'Arcy, Michael Pazzani, Benjamin Yizing Xu:
Deriva-ML: A Continuous FAIRness Approach to Reproducible Machine Learning Models. 1-10 - Renan Souza, Silvina Caíno-Lores, Mark Coletti, Tyler J. Skluzacek, Alexandru Costan, Frédéric Suter, Marta Mattoso, Rafael Ferreira da Silva:
Workflow Provenance in the Computing Continuum for Responsible, Trustworthy, and Energy-Efficient AI. 1-7 - Honglin Zhang, Leyu Zhang, Lei Fang, Rosa Filgueira:
Multi-Level AI-Driven Analysis of Software Repository Similarities. 1-10 - Koichiro Ito, Shigeki Matsubara:
Estimating Metadata of Research Artifacts to Enhance their Findability. 1-2 - Anandan Krishnasamy, Yuandou Wang, Zhiming Zhao:
A Collaborative Framework for Facilitating Federated Learning among Jupyter Users. 1-2 - James Hammer, Tanner Hobson, David Pugmire, Scott Klasky, Kenneth Moreland, Jian Huang:
A Personalized AI Assistant For Intuition-Driven Visual Explorations. 1-10 - Modhurita Mitra, Martine G. de Vos, Nicola Cortinovis, Dawa Ometto:
Generative AI for Research Data Processing: Lessons Learnt From Three Use Cases. 1-10 - Igor Sfiligoi, Daniel McDonald, Rob Knight:
Mitigating memory latency in FM Index search. 1-2 - Benjamin L. Smarr:
AI for precision medicine must keep non-random complexity in mind to support equity in outcomes. 1-7 - Sasa Vranic, Antonella Galizia, Antonio Parodi, Ulrike Falk, Paolo Mazzetti, Milan Kalas, Joy Ommer:
Citizens4Climate - A dashboard to support citizen science activities for climate action. 1-7 - Krishna Kamath, Nicole Brewer, Tanu Malik:
FAIR Assessment of Cloud-based Experiments. 1-6 - Nina Hosseini-Kivanani, Elena Salobrar-García, Lorena Elvira-Hurtado, Mario Salas, Christoph Schommer, Luis A. Leiva:
Predicting Alzheimer's Disease and Mild Cognitive Impairment with Off-line and On-line House Drawing Tests. 1-10
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last updated on 2024-10-02 20:47 CEST by the dblp team
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