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Multimodal Machine Learning Applications

Multimodal Machine Learning Applications

254 faculty research Multimodal Machine Learning Applications on GradNova.

S
Advanced Neural Network Applications
Adversarial Robustness in Machine Learning
Multimodal Machine Learning Applications
Natural Language Processing Techniques
+1
Y
Yuhong Guo

Professor & Canada Research Chair

Computer Science

Carleton University

RNA and Protein Synthesis Mechanisms
RNA Modifications and Cancer
RNA Research and Splicing
Domain Adaptation and Few-Shot Learning
+4
N
Computational and Text Analysis Methods
Multimodal Machine Learning Applications
Natural Language Processing Techniques
Reinforcement Learning in Robotics
+1
R
Advanced Image and Video Retrieval Techniques
Advanced Neural Network Applications
Diabetes Management and Research
Domain Adaptation and Few-Shot Learning
+1
B
Advanced Image and Video Retrieval Techniques
Domain Adaptation and Few-Shot Learning
Multimodal Machine Learning Applications
Natural Language Processing Techniques
+1
A
Multimodal Machine Learning Applications
Natural Language Processing Techniques
Speech Recognition and Synthesis
Text Readability and Simplification
+1
D
Deepti Ghadiyaram

Assistant Professor of Computer Science

Computer Science

Boston University

Domain Adaptation and Few-Shot Learning
Human Pose and Action Recognition
Image and Video Quality Assessment
Image Enhancement Techniques
+1
S
Stan Sclaroff, PhD

Dean, College and Graduate School of Arts & Sciences Professor (CS, ECE)

Department of Electrical and Computer Engineering

Boston University

Advanced Image and Video Retrieval Techniques
Human Pose and Action Recognition
Image Retrieval and Classification Techniques
Multimodal Machine Learning Applications
+1
K
Advanced Image and Video Retrieval Techniques
Advanced Neural Network Applications
Domain Adaptation and Few-Shot Learning
Human Pose and Action Recognition
+1
C
Multimodal Machine Learning Applications
Natural Language Processing Techniques
Social Robot Interaction and Hri
Speech and Dialogue Systems
+1
Z
Computer Vision and Image Understanding
Data Mining and Knowledge Discovery
Machine Learning
Multimedia Information Indexing and Retrieval
+6
Z
Heterogeneous Computing and Memory Systems
Parallel Computing on Various Architectures
Performance Optimization on Hpc and Ai/dl Applications
Scientific Machine Learning
+5
P
Machine Learning
Natural Language Processing
Topic Modeling
Natural Language Processing Techniques
+3
C
<p>my Current Research&nbsp;focus Is in on Cognition and Intelligence; in Particular on Understanding Natural Language
And Biological and Health Sciences.</p><p>in Natural Language Processing (nlp)
And Multi-Modal Documents; Using Knowledge in That Understanding; and Applying That Understanding to Cybersecurity
And Neuro-Symbolic Approaches to Nlp.</p><p>in Vision
+11
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