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Anomaly Detection Techniques and Applications

Anomaly Detection Techniques and Applications

167 faculty research Anomaly Detection Techniques and Applications on GradNova.

S
Song Gao

Associate Professor, Department of Geography & Director of Geospatial Data Science Lab

Computer Science

University of Wisconsin–Madison

Advanced Neural Network Applications
Adversarial Robustness in Machine Learning
Anomaly Detection Techniques and Applications
Land Use and Ecosystem Services
+1
B
Byung S. Lee

Professor, Department of Computer Science • Faculty Fellow, Gund Institute for Environment

Department of Electrical and Biomedical Engineering

University of Vermont

Data Mining
Database
Information Retrieval
Machine Learning
+5
G
Machine Learning and Computer Security
Adversarial Robustness in Machine Learning
Advanced Malware Detection Techniques
Analytical Chemistry Methods Development
+2
Y
Yuhao Zhu

Stephen Biggar '92 and Elisabeth Asaro '92 Fellow in Data Science; Associate Professor of Computer Science

Computer Science

University of Rochester

Augmented/virtual Reality
Computational Art, Art History, and Aesthetics
Computer Imaging and Graphics
Computer Systems and Architecture
+6
K
Adversarial Machine Learning
Computer Security
Computer Vision
Large Language Models
+5
M
Anomaly Detection Techniques and Applications
Bayesian Modeling and Causal Inference
Machine Learning and Data Classification
Machine Learning in Healthcare
+1
E
Data Mining
Machine Learning
Outlier/anomaly Detection and Explanation
Real Time Data Stream Processing and Analysis
+5
S
Advanced Image Processing Techniques
Anomaly Detection Techniques and Applications
Chaos-Based Image/signal Encryption
Image and Signal Denoising Methods
+1
J
Complex Datasets
Deep Learning
Density Estimation
Generative Models
+13
A
Abdullah A. Mueen

Professor and Associate Department Chair

Computer Science

University of New Mexico

Advanced Text Analysis Techniques
Anomaly Detection Techniques and Applications
Music and Audio Processing
Spam and Phishing Detection
+1
M
AI in Cancer Detection
Anomaly Detection Techniques and Applications
COVID-19 Diagnosis Using AI
Maritime Navigation and Safety
+1
C
Christopher Burger

Instructional Assistant Professor of Computer and Information Science

Computer Science

University of Mississippi

Academic Integrity and Plagiarism
Anomaly Detection Techniques and Applications
Explainable Artificial Intelligence (xai)
Online Learning and Analytics
+1
C
Christos Papadopoulos

Professor and Sparks Family Chair of Excellence in Global Research Leadership

Computer Science

University of Memphis

Computer Networks
Distributed Systems
Multimedia Communication
Network Security
+3
B
Artificial Intelligence and Games in Education
Ethical and Trustworthy AI
Human-Centered Computing
Mobile Health
+6
G
Advanced Malware Detection Techniques
Anomaly Detection Techniques and Applications
Information and Cyber Security
Network Security and Intrusion Detection
+1
B
Bo Sheng

Professor, Undergraduate Program Director

Computer Science

University of Massachusetts Boston

Anomaly Detection Techniques and Applications
Artificial Immune Systems Applications
Data Mining Algorithms and Applications
Network Security and Intrusion Detection
+1
H
Anomaly Detection Techniques and Applications
Context-Aware Activity Recognition Systems
Data Visualization and Analytics
Digital Mental Health Interventions
+1
F
Anomaly Detection Techniques and Applications
Genomics and Phylogenetic Studies
Inflammatory Bowel Disease
Microbial Infections and Disease Research
+1
H
AI for Healthcare
Computer Vision
Machie Learning
Visualization
+5
R
Raunak Sarbajna

UH at Katy Campus Faculty; Professor of Practice

Computer Science

University of Houston

Anomaly Detection Techniques and Applications
Context-Aware Activity Recognition Systems
Human Mobility and Location-Based Analysis
Mobile Crowdsensing and Crowdsourcing
+1
Z
Adversarial Robustness in Machine Learning
Anomaly Detection Techniques and Applications
Integrated Circuits and Semiconductor Failure Analysis
Multidisciplinary Science and Engineering Research
+1
W
Advanced Neural Network Applications
Advanced Vision and Imaging
Anomaly Detection Techniques and Applications
Domain Adaptation and Few-Shot Learning
+1
M
Advanced Graph Neural Networks
Anomaly Detection Techniques and Applications
Smart Grid Security and Resilience
A
Anomaly Detection Techniques and Applications
Cancer-Related Molecular Mechanisms Research
Gene Expression and Cancer Classification
RNA Modifications and Cancer
+1
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