Teresa Wu

Orcid: 0000-0002-0529-7048

According to our database1, Teresa Wu authored at least 95 papers between 2004 and 2025.

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Bibliography

2025
TP-CL: A novel temporal proximity contrastive learning approach for obstructive sleep apnea detection using single-lead electrocardiograms.
Biomed. Signal Process. Control., 2025

2024
Predicting RNA sequence-structure likelihood via structure-aware deep learning.
BMC Bioinform., December, 2024

E-BDL: Enhanced Band-Dependent Learning Framework for Augmented Radar Sensing.
Sensors, July, 2024

Domain-knowledge Inspired Pseudo Supervision (DIPS) for unsupervised image-to-image translation models to support cross-domain classification.
Eng. Appl. Artif. Intell., January, 2024

Learning Low-Rank Feature for Thorax Disease Classification.
CoRR, 2024

AnoFPDM: Anomaly Segmentation with Forward Process of Diffusion Models for Brain MRI.
CoRR, 2024

Brainomaly: Unsupervised Neurologic Disease Detection Utilizing Unannotated T1-weighted Brain MR Images.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Ordinal Classification with Distance Regularization for Robust Brain Age Prediction.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

A feature extraction framework with entropy on graphs for cross-dataset building fault detection.
Proceedings of the 20th IEEE International Conference on Automation Science and Engineering, 2024

2023
Deep-Neural-Network-Enabled Vehicle Detection Using High-Resolution Automotive Radar Imaging.
IEEE Trans. Aerosp. Electron. Syst., October, 2023

A framework for generalizing critical heat flux detection models using unsupervised image-to-image translation.
Expert Syst. Appl., October, 2023

A critical review of cyber-physical security for building automation systems.
Annu. Rev. Control., January, 2023

Eigen-Entropy: A metric for multivariate sampling decisions.
Inf. Sci., 2023

Pseudo Supervised Metrics: Evaluating Unsupervised Image to Image Translation Models In Unsupervised Cross-Domain Classification Frameworks.
CoRR, 2023

Maximum mutual information for feature extraction from graph-structured data: Application to Alzheimer's disease classification.
Appl. Intell., 2023

CYDRES: CYber Defense and REsilient System for securing grid-interactive efficient buildings.
Proceedings of the 10th ACM International Conference on Systems for Energy-Efficient Buildings, 2023

Automatic Data Transformation Using Large Language Model - An Experimental Study on Building Energy Data.
Proceedings of the IEEE International Conference on Big Data, 2023

2022
A Generalized Framework for Critical Heat Flux Detection Using Unsupervised Image-to-Image Translation.
CoRR, 2022

HealthyGAN: Learning from Unannotated Medical Images to Detect Anomalies Associated with Human Disease.
Proceedings of the Simulation and Synthesis in Medical Imaging, 2022

Addressing imaging accessibility by cross-modality transfer learning.
Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, San Diego, 2022

Early prediction of the Alzheimer's disease risk using Tau-PET and machine learning.
Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, San Diego, 2022

Spectranet: A High Resolution Imaging Radar Deep Neural Network for Autonomous Vehicles.
Proceedings of the 12th IEEE Sensor Array and Multichannel Signal Processing Workshop, 2022

2021
Small Blob Detector Using Bi-Threshold Constrained Adaptive Scales.
IEEE Trans. Biomed. Eng., 2021

A Glucose-Insulin Mixture Model and Application to Short-Term Hypoglycemia Prediction in the Night Time.
IEEE Trans. Biomed. Eng., 2021

A novel hierarchically-structured factor mixture model for cluster discovery from multi-modality data.
IISE Trans., 2021

A novel transfer learning model for predictive analytics using incomplete multimodality data.
IISE Trans., 2021

Gaussian mixture model with feature selection: An embedded approach.
Comput. Ind. Eng., 2021

Dynamic bayesian network-based fault diagnosis for ASHRAE guideline 36: high performance sequence of operation for HVAC systems.
Proceedings of the BuildSys '21: The 8th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation, Coimbra, Portugal, November 17, 2021

A Preliminary Comparison Between Compressive Sampling and Anisotropic Mesh-Based Image Representation.
Proceedings of the Intelligent Computing, 2021

2020
Deep Residual Inception Encoder-Decoder Network for Medical Imaging Synthesis.
IEEE J. Biomed. Health Informatics, 2020

Learning-interaction-diversification framework for swarm intelligence optimizers: a unified perspective.
Neural Comput. Appl., 2020

A feature transfer enabled multi-task deep learning model on medical imaging.
Expert Syst. Appl., 2020

2019
Integration of biological and statistical models toward personalized radiation therapy of cancer.
IISE Trans., 2019

ENTRNA: a framework to predict RNA foldability.
BMC Bioinform., 2019

U-Net with optimal thresholding for small blob detection in medical images.
Proceedings of the 15th IEEE International Conference on Automation Science and Engineering, 2019

2018
Coevolutionary Structure-Redesigned-Based Bacterial Foraging Optimization.
IEEE ACM Trans. Comput. Biol. Bioinform., 2018

SD-CNN: A shallow-deep CNN for improved breast cancer diagnosis.
Comput. Medical Imaging Graph., 2018

ADMultiImg: a novel missing modality transfer learning based CAD system for diagnosis of MCI due to AD using incomplete multi-modality imaging data.
Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018

Computer-aided classification of breast masses using contrast-enhanced digital mammograms.
Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018

2017
Diagnosis on Mild Cognitive Impairment Patients for Alzheimer Disease with Missing Data.
Proceedings of the 2017 IEEE International Conference on Healthcare Informatics, 2017

2016
Efficient Small Blob Detection Based on Local Convexity, Intensity and Shape Information.
IEEE Trans. Medical Imaging, 2016

A recommendation system for meta-modeling: A meta-learning based approach.
Expert Syst. Appl., 2016

3D small structure detection in medical image using texture analysis.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

Computational efficient Variational Bayesian Gaussian Mixture Models via Coreset.
Proceedings of the International Conference on Computer, 2016

2015
Small Blob Identification in Medical Images Using Regional Features From Optimum Scale.
IEEE Trans. Biomed. Eng., 2015

Automated Detection of Z-Axis Coverage with Abdomen-Pelvis Computed Tomography Examinations.
J. Digit. Imaging, 2015

K Nearest Gaussian-A model fusion based framework for imbalanced classification with noisy dataset.
Artif. Intell. Res., 2015

Augmenting cost-SVM with gaussian mixture models for imbalanced classification.
Artif. Intell. Res., 2015

A novel Hessian based algorithm for rat kidney glomerulus detection in 3D MRI.
Proceedings of the Medical Imaging 2015: Image Processing, 2015

2014
Pilot Study: Evaluation of Dual-Energy Computed Tomography Measurement Strategies for Positron Emission Tomography Correlation in Pancreatic Adenocarcinoma.
J. Digit. Imaging, 2014

A stochastic AHP decision making methodology for imprecise preferences.
Inf. Sci., 2014

AHPS<sup>2</sup>: An optimizer using adaptive heterogeneous particle swarms.
Inf. Sci., 2014

Healthcare Intelligence: Turning Data into Knowledge.
IEEE Intell. Syst., 2014

An intelligent decomposition of pairwise comparison matrices for large-scale decisions.
Eur. J. Oper. Res., 2014

Prediction of near-term risk of developing breast cancer using computerized features from bilateral mammograms.
Comput. Medical Imaging Graph., 2014

An augmented multi-objective particle swarm optimizer for building cluster operation decisions.
Appl. Soft Comput., 2014

Accuracy vs. robustness: bi-criteria optimized ensemble of metamodels.
Proceedings of the 2014 Winter Simulation Conference, 2014

Using undiagnosed data to enhance computerized breast cancer analysis with a three stage data labeling method.
Proceedings of the Medical Imaging 2014: Computer-Aided Diagnosis, San Diego, 2014

2013
Supply Chain Risk Management: An Agent-Based Simulation to Study the Impact of Retail Stockouts.
IEEE Trans. Engineering Management, 2013

An Adaptive Particle Swarm Optimization With Multiple Adaptive Methods.
IEEE Trans. Evol. Comput., 2013

A Sparse Structure Learning Algorithm for Gaussian Bayesian Network Identification from High-Dimensional Data.
IEEE Trans. Pattern Anal. Mach. Intell., 2013

Fuzzy clustering based ET image fusion.
Inf. Fusion, 2013

2012
A prior feature SVM-MRF based method for mouse brain segmentation.
NeuroImage, 2012

An intelligent augmentation of particle swarm optimization with multiple adaptive methods.
Inf. Sci., 2012

Decentralized operation strategies for an integrated building energy system using a memetic algorithm.
Eur. J. Oper. Res., 2012

Clustering mechanism for electric tomography imaging.
Sci. China Inf. Sci., 2012

Solving the Distribution Center Location Problem Based on Multi-swarm Cooperative Particle Swarm Optimizer.
Proceedings of the Intelligent Computing Technology - 8th International Conference, 2012

2011
An Automated DICOM Database Capable of Arbitrary Data Mining (Including Radiation Dose Indicators) for Quality Monitoring.
J. Digit. Imaging, 2011

Automatic Monitoring of Localized Skin Dose with Fluoroscopic and Interventional Procedures.
J. Digit. Imaging, 2011

Fused Multi-Characteristic Validity Index: An Application to Reconstructed Image Evaluation in Electrical Tomography.
Int. J. Comput. Intell. Syst., 2011

Machine Learning Approaches for the Neuroimaging Study of Alzheimer's Disease.
Computer, 2011

Design of centralized ambulance diversion policies using simulation-optimization.
Proceedings of the Winter Simulation Conference 2011, 2011

Identifying Alzheimer's Disease-Related Brain Regions from Multi-Modality Neuroimaging Data using Sparse Composite Linear Discrimination Analysis.
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

Brain effective connectivity modeling for alzheimer's disease by sparse gaussian bayesian network.
Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

2010
Learning brain connectivity of Alzheimer's disease by sparse inverse covariance estimation.
NeuroImage, 2010

A new separation measure for improving the effectiveness of validity indices.
Inf. Sci., 2010

Mix-ratio sampling: Classifying multiclass imbalanced mouse brain images using support vector machine.
Expert Syst. Appl., 2010

Bi-criteria analysis of ambulance diversion policies.
Proceedings of the 2010 Winter Simulation Conference, 2010

Dampster-Shafer Evidence Theory Based Multi-Characteristics Fusion for Clustering Evaluation.
Proceedings of the Rough Set and Knowledge Technology - 5th International Conference, 2010

2009
Petri Net Translation Patterns for the Analysis of eBusiness Collaboration Messaging Protocols.
IEEE Trans. Syst. Man Cybern. Part A, 2009

Automated segmentation of mouse brain images using extended MRF.
NeuroImage, 2009

Analysis of Ambulance Diversion Policies for a Large-size Hospital.
Proceedings of the 2009 Winter Simulation Conference, 2009

Learning Brain Connectivity of Alzheimer's Disease from Neuroimaging Data.
Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

Mining brain region connectivity for alzheimer's disease study via sparse inverse covariance estimation.
Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009

2008
A Price-Based Negotiation Mechanism for Distributed Collaborative Design.
IEEE Trans. Engineering Management, 2008

Heterogeneous data fusion for alzheimer's disease study.
Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008

2007
AIDEA: a methodology for supplier evaluation and selection in a supplier-based manufacturing environment.
Int. J. Manuf. Technol. Manag., 2007

MMR: An algorithm for clustering categorical data using Rough Set Theory.
Data Knowl. Eng., 2007

An Importance Sampling Based Approach for Reliability Analysis.
Proceedings of the IEEE Conference on Automation Science and Engineering, 2007

2006
A Distributed Information System Architecture for Collaborative Design.
Proceedings of the Integrated Intelligent Systems for Engineering Design, 2006

A model for inbound supply risk analysis.
Comput. Ind., 2006

An Adaptive Distributed Simulation Framework for a Server Fulfillment Supply Chain.
Proceedings of the 2006 IEEE International Conference on Automation Science and Engineering, 2006

2005
A Principle-Agent Model for Distributed, Collaborative Design Negotiation.
Trans. SDPS, 2005

2004
Design and Implementation of a Distributed Information System for Collaborative Product Development.
J. Comput. Inf. Sci. Eng., 2004

SMWA: A CAD-based Decision Support System for the Efficient Design of Welding.
Concurr. Eng. Res. Appl., 2004


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