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Machine Learning

Machine Learning

721 faculty research Machine Learning on GradNova.

B
Machine Learning
Natural Language Processing
Topic Modeling
Natural Language Processing Techniques
+1
A
Data-Intensive Computer Systems
Database Systems
Machine Learning
Science Applications of AI
+6
J
Algorithms and Complexity
Machine Learning
Machine Learning Heory
Theoretical Computer Science
+5
S
Suchi Saria

John C. Malone Associate Professor

Computer Science

Johns Hopkins University

Computational Health Informatics
Information Extraction in Domains With Structured and Unstructured Data
Machine Learning
Predictive Modeling in Healthcare
+7
T
Human-Computer Interaction
Machine Learning
Social Computing
Web Research
+5
M
Causal Inference
Machine Learning
Philosophical Ethics and Theory
Advanced Causal Inference Techniques
+3
E
Machine Learning
Gaussian Processes and Bayesian Inference
Topic Modeling
Natural Language Processing Techniques
+2
S
Human-Computer Interaction
Interactive Machine Learning
Machine Learning
Reinforcement Learning
+5
P
Machine Learning
Natural Language
Natural Language Processing
Natural Language Processing Techniques
+4
M
Causal Inference
Information Theory
Machine Learning
D
Human-AI Interaction
Interactive Machine Learning
Machine Learning
Natural Language Processing
+5
C
Computer Vision
Machine Learning
Medical Image Processing
Neural Networks
+5
K
Computer Vision
Machine Learning
Robotics
Robotics and Sensor-Based Localization
+4
G
Computer Vision
Computer-Integrated Surgery
Human-Machine Collaborative Systems
Machine Learning
+6
J
Declarative Programming
Machine Learning
Natural Language Processing
Topic Modeling
+4
K
Machine Learning
Natural Language Processing
Natural Language Processing Techniques
Topic Modeling
+3
M
Mark Dredze

Director of the Data Science and AI Institute and John C. Malone Professor

Computer Science

Johns Hopkins University

AI for Healthcare
Machine Learning
Natural Language Processing
Topic Modeling
+4
N
Energy Systems
Machine Learning
Measurement and Performance Analysis
Theoretical Computer Science
+5
J
Computer Vision
Machine Learning
Multimodal AI
Natural Language Processing
+5
U
Computational Biology
Genomics
Machine Learning
Gene Expression and Cancer Classification
+4
V
Vladimir Braverman

Associate Head of Faculty and Professor

Computer Science

Johns Hopkins University

Healthcare Applications
Machine Learning
Theoretical Computer Science
Sparse and Compressive Sensing Techniques
+4
R
Applications to Speech and Language Processing
Machine Learning
Statistical Signal Processing
Stochastic Approximation Algorithms
+5
G
Deep Reinforcement Learning
Information Retrieval
Machine Learning
Natural Language Processing
+7
N
Nathan Schneider

Associate Professor (joint with Linguistics)

Computer Science

Georgetown University

Applications
Computational Linguistics and Natural Language Processing
Corpus Annotation
Machine Learning
+5
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