13 citations · 42 across the 9 of their papers we have counts for
13 papers
eGAN: Unsupervised approach to class imbalance using transfer learning
Ademola Okerinde, Lior Shamir, William Hsu +2
Class imbalance is an inherent problem in many machine learning classification tasks. This often leads to trained models that are unusable for any practical purpose. In this study…
AdeNet: Deep learning architecture that identifies damaged electrical insulators in power lines
Ademola Okerinde, Lior Shamir, William Hsu +1
Ceramic insulators are important to electronic systems, designed and installed to protect humans from the danger of high voltage electric current. However, insulators are not immor…
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…
Shape-aware Generative Adversarial Networks for Attribute Transfer
Lei Luo, William Hsu, Shangxian Wang
Generative adversarial networks (GANs) have been successfully applied to transfer visual attributes in many domains, including that of human face images. This success is partly att…
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…