Showing 1–20 of 20 results
/ Date/ Name
Oct 29, 2025Multi-Resolution Model Fusion for Accelerating the Convolutional Neural Network TrainingNov 2, 2023Unraveling Diffusion in Fusion Plasma: A Case Study of In Situ Processing and Particle SortingOct 7, 2023Serving Deep Learning Model in Relational DatabasesSep 5, 2023Automatic Data Transformation Using Large Language Model: An Experimental Study on Building Energy DataJul 20, 2023Effectiveness and predictability of in-network storage cache for scientific workflowsOct 21, 2022Feature Engineering and Classification Models for Partial Discharge in Power TransformersMay 19, 2022Extract Dynamic Information To Improve Time Series Modeling: a Case Study with Scientific WorkflowMay 13, 2022What Makes You Hold on to That Old Car? Joint Insights from Machine Learning and Multinomial Logit on Vehicle-level Transaction DecisionsMay 11, 2022Studying Scientific Data Lifecycle in On-demand Distributed Storage CachesMay 11, 2022Access Trends of In-network Cache for Scientific DataOct 13, 2021Adaptive Elastic Training for Sparse Deep Learning on Heterogeneous Multi-GPU ServersJul 15, 2021Improving I/O Performance for Exascale Applications through Online Data Layout ReorganizationMay 3, 2021Analyzing scientific data sharing patterns for in-network data cachingApr 26, 2021Improving Botnet Detection with Recurrent Neural Network and Transfer LearningApr 1, 2020Botnet Detection Using Recurrent Variational AutoencoderNov 16, 2019IDEALEM: Statistical Similarity Based Data ReductionNov 1, 2018Efficient Online Hyperparameter Optimization for Kernel Ridge Regression with Applications to Traffic Time Series PredictionMar 16, 2018Distributed Caching for Complex Querying of Raw ArraysFeb 27, 2017ArrayBridge: Interweaving declarative array processing with high-performance computingMay 13, 2015Towards Real-Time Detection and Tracking of Spatio-Temporal Features: Blob-Filaments in Fusion Plasma