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Imbalanced Data Classification Techniques

Imbalanced Data Classification Techniques

21 faculty research Imbalanced Data Classification Techniques on GradNova.

X
Xiaoyue Ni

Assistant Professor of the Thomas Lord Department of Mechanical Engineering and Materials Science

Thomas Lord Department of Mechanical Engineering and Materials Science

Duke University

Flexible Electronics, Precision Measurement, Non-Destructive Testing, Deformation Physics of Random Media, Mechanical Metamaterials, Robotic Materials and Smart Structures, Machine Learning
Advanced Polymer Synthesis and Characterization
Cellular and Composite Structures
Surfactants and Colloidal Systems
+2
O
Omar Montasser

Secondary Faculty, Assistant Professor

Computer Science

Yale University

Adversarial Robustness in Machine Learning
Domain Adaptation and Few-Shot Learning
Imbalanced Data Classification Techniques
Machine Learning and Algorithms
+1
K
Computer Systems
Data Mining Algorithms and Applications
Rough Sets and Fuzzy Logic
Neural Networks and Applications
+2
H
Distributed Control Multi-Agent Systems
Frequency Control in Power Systems
Imbalanced Data Classification Techniques
Microgrid Control and Optimization
+1
R
Data Mining Algorithms and Applications
Data Stream Mining Techniques
Imbalanced Data Classification Techniques
Rough Sets and Fuzzy Logic
+1
M
Advanced Bandit Algorithms Research
Complexity and Algorithms in Graphs
Imbalanced Data Classification Techniques
Machine Learning and Algorithms
+1
P
Applied Machine Learning
Brain-Inspired Computing
Circuits & Systems
Hardware Machine Learning Systems
+6
A
Anthony (Tony) Pinar

Associate Teaching Professor, Electrical and Computer Engineering; Senior Design Coordinator, Electrical and Computer Engineering

Department of Electrical and Computer Engineering

Michigan Technological University

Data Fusion
Electronic Design
Machine Learning
Signal and Image Processing
+5
C
Advanced Photocatalysis Techniques
Advancements in Battery Materials
Authorship Attribution and Profiling
Imbalanced Data Classification Techniques
+1
X
Advanced Graph Neural Networks
Data Mining Algorithms and Applications
Imbalanced Data Classification Techniques
Machine Learning and Data Classification
+1
T
Imbalanced Data Classification Techniques
Machine Learning and Data Classification
Software Engineering Research
Software Reliability and Analysis Research
+1
Y
<p>statistical Machine Learning
Optimization for Machine Learning and Deep Learning</p>
Sparse and Compressive Sensing Techniques
Viral Infections and Immunology Research
+3
C
Cognitive Modeling
Data Mining and Its Applications
Machine Learning
Machine Learning and Data Classification
+4
D
Advanced Graph Neural Networks
Complex Network Analysis Techniques
Domain Adaptation and Few-Shot Learning
Imbalanced Data Classification Techniques
+1
C
Advanced Graph Neural Networks
Graph Theory and Algorithms
Imbalanced Data Classification Techniques
D
Adversarial Learning
Imbalanced Data
Randomized Search Heuristics
Semi-Supervised Learning
+6
M
Mohamed Abouelenien, PhD

Associate Professor, Computer and Information Science

Computer Science

University of Michigan–Dearborn

Data Mining
Machine Learning, Optimization, and Intelligent Systems
Operations Research and Decision Science
Wearable Sensors
+5
A
Albert Cheng

Professor of Computer Science and Electrical & Computer Engineering

Computer Science

University of Houston

Computing & Software Systems
Machine Learning
Imbalanced Data Classification Techniques
Machine Learning and Data Classification
+1
V
Advanced Graph Neural Networks
Imbalanced Data Classification Techniques
Machine Learning and Data Classification
Recommender Systems and Techniques
+1
A
Algorithms and Data Compression
Data Mining Algorithms and Applications
Imbalanced Data Classification Techniques
Machine Learning and Algorithms
+1
R
Data Mining Algorithms and Applications
Ethics and Social Impacts of AI
Explainable Artificial Intelligence (xai)
Imbalanced Data Classification Techniques
+1