7 citations · 28 across the 8 of their papers we have counts for
9 papers
Evolutionary Deep Nets for Non-Intrusive Load Monitoring
Jinsong Wang, Kenneth A. Loparo
Compact appliance classifiers can support local electricity-load monitoring where memory and computation are constrained. We evaluate adaptive sparse evolutionary training and warm…
Wind Turbine Gearbox Fault Detection Based on Sparse Filtering and Graph Neural Networks
Jinsong Wang, Kenneth A. Loparo
The wind energy industry has been experiencing tremendous growth and confronting the failures of wind turbine components. Wind turbine gearbox malfunctions are particularly prevale…
Eliminating Search Intent Bias in Learning to Rank
Yingcheng Sun, Richard Kolacinski, Kenneth Loparo
Click-through data has proven to be a valuable resource for improving search-ranking quality. Search engines can easily collect click data, but biases introduced in the data can ma…
Context Aware Image Annotation in Active Learning
Yingcheng Sun, Kenneth Loparo
Image annotation for active learning is labor-intensive. Various automatic and semi-automatic labeling methods are proposed to save the labeling cost, but a reduction in the number…
Conversational Structure Aware and Context Sensitive Topic Model for Online Discussions
Yingcheng Sun, Kenneth Loparo, Richard Kolacinski
Millions of online discussions are generated everyday on social media platforms. Topic modelling is an efficient way of better understanding large text datasets at scale. Conventio…
Transmission System Planning for Integration of Renewable Electricity Generation Units
Amirhossein Sajadi, Luka Strezoski, Richard Kolacinski +1
This paper summarizes the operational challenges imposed by integration of renewable electricity generation units in transmission level where the most common renewable generation u…
Knowledge-guided Text Structuring in Clinical Trials
Yingcheng Sun, Kenneth Loparo
Clinical trial records are variable resources or the analysis of patients and diseases. Information extraction from free text such as eligibility criteria and summary of results an…
A Common Gene Expression Signature Analysis Method for Multiple Types of Cancer
Yingcheng Sun, Xiangru Liang, Kenneth Loparo
Mining gene expression profiles has proven valuable for identifying signatures serving as surrogates of cancer phenotypes. However, the similarities of such signatures across diffe…
Finite-State Channel Models for Signal Transduction in Neural Systems
Andrew W. Eckford, Kenneth A. Loparo, Peter J. Thomas
Information theory provides powerful tools for understanding communication systems. This analysis can be applied to intercellular signal transduction, which is a means of chemical…