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Machine Learning

Machine Learning

407 faculty research Machine Learning on GradNova.

A
Computational Models of Mind and Brain
Computer Vision
Machine Learning
Mathematical Models of Cognition
+6
D
Information Retrieval
Machine Learning
Natural Language Processing
Spoken Language Systems
+6
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 Theory
Theoretical Computer Science
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 Health Care
+7
T
Human-Computer Interaction
Machine Learning
Social Computing
Web Research
+5
M
Causal Inference
Machine Learning
Corporate Taxation and Avoidance
Legal Education and Practice Innovations
+3
E
Machine Learning
Gaussian Processes and Bayesian Inference
Generative Adversarial Networks and Image Synthesis
Topic Modeling
+2
S
Human-Computer Interaction
Interactive Machine Learning
Machine Learning
Reinforcement Learning
+5
P
Machine Learning
Natural Language Processing
Natural Language Processing Techniques
Topic Modeling
+3
M
Causal Inference
Information Theory
Machine Learning
Advanced MRI Techniques and Applications
+4
D
Human-AI Interaction
Interactive Machine Learning
Machine Learning
Natural Language Processing
+3
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
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
+1
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

Health Care 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
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