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Machine Learning

Machine Learning

406 faculty research Machine Learning on GradNova.

M
Machine Learning
Reinforcement Learning
L
Computer Vision
Machine Learning
Medical Imaging
Cancer, Hypoxia, and Metabolism
+2
M
Michael McGuire

Professor & Department Chairperson

Computer Science

Towson University

Data Engineering
Data Mining
Environmental Informatics
Information Visualization
+4
W
Computer Security
Cyber Physical System Security
Distributed Systems
Machine Learning
+7
C
Earth Science
Information Visualization
Machine Learning
Spatio-Temporal Data Mining
+5
X
Big Data Analytics
Climate Informatics
Cybersecurity Informatics
Deep Learning
+8
G
Intelligent Robotics
Machine Learning
Y
Machine Learning
Natural Language Processing
Customer Service Quality and Loyalty
Corporate Finance and Governance
+3
K
Machine Learning
Theoretical Computer Science
Markov Chains and Monte Carlo Methods
Sparse and Compressive Sensing Techniques
+3
P
Peter Stone

Department Chair, Professor, Truchard Foundation Chair in Computer Science and University Distinguished Teaching Professor

Computer Science

The University of Texas at Austin

Intelligent Robotics
Machine Learning
Reinforcement Learning in Robotics
Robotic Path Planning Algorithms
+3
S
Machine Learning
Systems and Networking
A
Machine Learning
Reinforcement Learning in Robotics
Domain Adaptation and Few-Shot Learning
Adversarial Robustness in Machine Learning
R
Raymond Mooney

Professor, Professorship In Computer Sciences #3

Computer Science

The University of Texas at Austin

Bioinformatics and Computational Biology
Machine Learning
Natural Language Processing
Topic Modeling
+4
R
Bioinformatics and Computational Biology
Machine Learning
Evolutionary Algorithms and Applications
Reinforcement Learning in Robotics
+3
B
Human-Computer Interaction
Intelligent Robotics
Machine Learning
Social Robot Interaction and HRI
+3
Q
Computer Vision
Graphics and Visualization
Machine Learning
3D Shape Modeling and Analysis
+4
J
Human-Computer Interaction
Intelligent Robotics
Machine Learning
Vietnamese History and Culture Studies
+4
D
Bioinformatics and Computational Biology
Machine Learning
Crystallization and Solubility Studies
X-Ray Diffraction in Crystallography
+3
S
Formal Methods
Machine Learning
Programming Languages and Compilers
Formal Methods in Verification
+4
J
Intelligent Robotics
Machine Learning
Robotics and Sensor-Based Localization
Robotic Path Planning Algorithms
+3
C
Chandrajit Bajaj

Professor, Computational Applied Mathematics Chair in Visualization

Computer Science

The University of Texas at Austin

Bioinformatics and Computational Biology
Graphics and Visualization
Machine Learning
Scientific Computing
+5
R
Data Mining
Machine Learning
Neural Networks, and Deep Learning
J
Bioinformatics and Health Informatics
Data Mining
Machine Learning
Neural Networks and Deep Learning
D
Computer Vision
Data Mining
Image and Video Processing
Machine Learning
+5
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