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Machine Learning and Algorithms

Machine Learning and Algorithms

208 faculty research Machine Learning and Algorithms on GradNova.

E
Advanced Multi-Objective Optimization Algorithms
Constraint Satisfaction and Optimization
Machine Learning and Algorithms
Total Knee Arthroplasty Outcomes
+1
A
Control, Robotics and Dynamical Systems
Reinforcement Learning in Robotics
Machine Learning and Algorithms
Robotic Path Planning Algorithms
+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
T
Computing Education
Human-Centered AI
Machine Learning
Robotics
+5
R
Circuit Complexity
Complexity Theory
Pseudorandomness and Derandomization
Theoretical Computer Science
+5
U
Theoretical Computer Science
Quantum Computing Algorithms and Architecture
Complexity and Algorithms in Graphs
Quantum Information and Cryptography
+2
M
Graphical Models
Machine Learning
Machine Learning Theory
Optimization Algorithms
+6
S
Advanced Memory and Neural Computing
AI in Cancer Detection
Machine Learning and Algorithms
Network Security and Intrusion Detection
+1
C
Advanced Graph Theory Research
Complexity and Algorithms in Graphs
Machine Learning and Algorithms
Machine Learning and Data Classification
+1
S
Shubhanshu Shekhar

Assistant Professor, EECS – Electrical and Computer Engineering

Department of Electrical and Computer Engineering

University of Michigan

Machine Learning
Statistics.
Machine Learning and Algorithms
Advanced Bandit Algorithms Research
+3
C
Clayton D Scott

Professor, EECS – Electrical and Computer Engineering; Professor (courtesy), Statistics

Department of Electrical and Computer Engineering

University of Michigan

Machine Learning Theory, Methods, and Applications
Machine Learning Theory, Methods, and Applications.
Machine Learning and Algorithms
Machine Learning and Data Classification
+3
S
Coding Theory
Network Information Theory
Quantum Error Correcting Codes
Quantum Field Theory
+5
M
Bayesian Modeling and Causal Inference
Complex Network Analysis Techniques
Data Quality and Management
Machine Learning and Algorithms
+1
M
Advanced Bandit Algorithms Research
Complexity and Algorithms in Graphs
Imbalanced Data Classification Techniques
Machine Learning and Algorithms
+1
S
Machine Learning
Reinforcement Learning in Robotics
Robot Manipulation and Learning
Machine Learning and Algorithms
+2
D
Theoretical Computer Science
Complexity and Algorithms in Graphs
Semigroups and Automata Theory
DNA and Biological Computing
+1
M
Formal Methods in Verification
Logic, Programming, and Type Systems
Machine Learning and Algorithms
Software Reliability and Analysis Research
+1
H
Algorithms and Data Compression
Complexity and Algorithms in Graphs
Cryptography and Data Security
Machine Learning and Algorithms
+1
M
Complexity and Algorithms in Graphs
Cryptography and Data Security
Machine Learning and Algorithms
Optimization and Search Problems
+1
M
Advanced Bandit Algorithms Research
Distributed Sensor Networks and Detection Algorithms
Machine Learning and Algorithms
Sparse and Compressive Sensing Techniques
+1
M
Bayesian Methods and Mixture Models
Bayesian Modeling and Causal Inference
Ethics and Social Impacts of AI
Machine Learning and Algorithms
+1
D
Artificial Intelligence (ai)
Advanced Image and Video Retrieval Techniques
Multimodal Machine Learning Applications
Machine Learning and Algorithms
C
Advanced Bandit Algorithms Research
Auction Theory and Applications
Machine Learning and Algorithms
Optimization and Search Problems
+1
P
Pascal Germain

Département d'informatique et de génie logiciel

Computer Science

Université Laval

Apprentissage Machine
Intelligence Artificielle (ia)
Machine Learning and Algorithms
Domain Adaptation and Few-Shot Learning
+3
2

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