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09/05/2023
Automatic Data Transformation Using Large Language Model: An Experimental Study on Building Energy Data
Existing approaches to automatic data transformation are insufficient to...
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07/20/2023
Effectiveness and predictability of in-network storage cache for scientific workflows
Large scientific collaborations often have multiple scientists accessing...
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10/21/2022
Feature Engineering and Classification Models for Partial Discharge in Power Transformers
To ensure reliability, power transformers are monitored for partial disc...
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05/19/2022
Extract Dynamic Information To Improve Time Series Modeling: a Case Study with Scientific Workflow
In modeling time series data, we often need to augment the existing data...
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05/13/2022
What Makes You Hold on to That Old Car? Joint Insights from Machine Learning and Multinomial Logit on Vehicle-level Transaction Decisions
What makes you hold on that old car? While the vast majority of the hous...
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05/11/2022
Studying Scientific Data Lifecycle in On-demand Distributed Storage Caches
The XRootD system is used to transfer, store, and cache large datasets f...
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05/11/2022
Access Trends of In-network Cache for Scientific Data
Scientific collaborations are increasingly relying on large volumes of d...
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10/13/2021
Adaptive Elastic Training for Sparse Deep Learning on Heterogeneous Multi-GPU Servers
Motivated by extreme multi-label classification applications, we conside...
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07/15/2021
Improving I/O Performance for Exascale Applications through Online Data Layout Reorganization
The applications being developed within the U.S. Exascale Computing Proj...
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05/03/2021
Analyzing scientific data sharing patterns for in-network data caching
The volume of data moving through a network increases with new scientifi...
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04/26/2021
Improving Botnet Detection with Recurrent Neural Network and Transfer Learning
Botnet detection is a critical step in stopping the spread of botnets an...
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02/16/2021
Investigating Underlying Drivers of Variability in Residential Energy Usage Patterns with Daily Load Shape Clustering of Smart Meter Data
Residential customers have traditionally not been treated as individual ...
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10/15/2020
Deep Learning on Real Geophysical Data: A Case Study for Distributed Acoustic Sensing Research
Deep Learning approaches for real, large, and complex scientific data se...
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04/01/2020
Botnet Detection Using Recurrent Variational Autoencoder
Botnets are increasingly used by malicious actors, creating increasing t...
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11/16/2019
IDEALEM: Statistical Similarity Based Data Reduction
Many applications such as scientific simulation, sensing, and power grid...
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11/01/2018
Efficient Online Hyperparameter Optimization for Kernel Ridge Regression with Applications to Traffic Time Series Prediction
Computational efficiency is an important consideration for deploying mac...
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03/16/2018