13 citations · 22 across the 4 of their papers we have counts for
4 papers
Feature Selection for Learning to Predict Outcomes of Compute Cluster Jobs with Application to Decision Support
Adedolapo Okanlawon, Huichen Yang, Avishek Bose +3
We present a machine learning framework and a new test bed for data mining from the Slurm Workload Manager for high-performance computing (HPC) clusters. The focus was to find a me…
Vision-Based Layout Detection from Scientific Literature using Recurrent Convolutional Neural Networks
Huichen Yang, William H. Hsu
We present an approach for adapting convolutional neural networks for object recognition and classification to scientific literature layout detection (SLLD), a shared subtask of se…
Pipelines for Procedural Information Extraction from Scientific Literature: Towards Recipes using Machine Learning and Data Science
Huichen Yang, Carlos A. Aguirre, Maria F. De La Torre +10
This paper describes a machine learning and data science pipeline for structured information extraction from documents, implemented as a suite of open-source tools and extensions t…
Machine Learning for Predictive Analytics of Compute Cluster Jobs
Dan Andresen, William Hsu, Huichen Yang +1
We address the problem of predicting whether sufficient memory and CPU resources have been requested for jobs at submission time. For this purpose, we examine the task of training…