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04/16/2023
Dynamic Exploration-Exploitation Trade-Off in Active Learning Regression with Bayesian Hierarchical Modeling
Active learning provides a framework to adaptively sample the most infor...
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03/31/2023
Maximum Covariance Unfolding Regression: A Novel Covariate-based Manifold Learning Approach for Point Cloud Data
Point cloud data are widely used in manufacturing applications for proce...
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11/14/2022
Tides Need STEMMED: A Locally Operating Spatio-Temporal Mutually Exciting Point Process with Dynamic Network for Improving Opioid Overdose Death Prediction
We develop a Spatio-TEMporal Mutually Exciting point process with Dynami...
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09/21/2021
Multi-Objective Allocation of COVID-19 Testing Centers: Improving Coverage and Equity in Access
At the time of this article, COVID-19 has been transmitted to more than ...
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02/22/2021
An Online Approach to Cyberattack Detection and Localization in Smart Grid
Complex interconnections between information technology and digital cont...
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09/25/2020
Deep Learning based Covert Attack Identification for Industrial Control Systems
Cybersecurity of Industrial Control Systems (ICS) is drawing significant...
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04/23/2020
Real-time Detection of Clustered Events in Video-imaging data with Applications to Additive Manufacturing
The use of video-imaging data for in-line process monitoring application...
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10/04/2019
AKM^2D : An Adaptive Framework for Online Sensing and Anomaly Quantification
In point-based sensing systems such as coordinate measuring machines (CM...
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12/26/2018
Large Multistream Data Analytics for Monitoring and Diagnostics in Manufacturing Systems
The high-dimensionality and volume of large scale multistream data has i...
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09/27/2018
Dataset: Rare Event Classification in Multivariate Time Series
A real-world dataset is provided from a pulp-and-paper manufacturing ind...
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07/26/2018
Structured Point Cloud Data Analysis via Regularized Tensor Regression for Process Modeling and Optimization
Advanced 3D metrology technologies such as Coordinate Measuring Machine ...
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02/28/2018
A novel approach for fusion of heterogeneous sources of data
With advancements in sensor technology, a heterogeneous set of data, con...
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02/28/2018
Multiple Tensor on Tensor Regression: An approach for modeling processes with heterogeneous sources of data
With advancements in sensor technology, a heterogeneous set of data, con...
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11/13/2017
Change Detection in a Dynamic Stream of Attributed Networks
While anomaly detection in static networks has been extensively studied,...
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10/23/2016
Inertial Regularization and Selection (IRS): Sequential Regression in High-Dimension and Sparsity
In this paper, we develop a new sequential regression modeling approach ...
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08/11/2016
Sequence Graph Transform (SGT): A Feature Extraction Function for Sequence Data Mining (Extended Version)
The ubiquitous presence of sequence data across fields such as the web, ...
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05/28/2015