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Start Over Graduate Program Electrical Engineering Committee Member David Jonathan Miller Committee Member George Kesidis

11. FEATURE SELECTION METHODS FOR SUPPORT VECTOR MACHINES FOR TWO OR MORE CLASSES, WITH APPLICATIONS TO THE ANALYSIS OF ALZHEIMER'S DISEASE AND ITS ONSET WITH MRI BRAIN IMAGE PROCESSING

open_access
Open Access
Author:
Aksu, Yaman
Title:
FEATURE SELECTION METHODS FOR SUPPORT VECTOR MACHINES FOR TWO OR MORE CLASSES, WITH APPLICATIONS TO THE ANALYSIS OF ALZHEIMER'S DISEASE AND ITS ONSET WITH MRI BRAIN IMAGE PROCESSING
Graduate Program:
Electrical Engineering
Keywords:
Alzheimer
Support Vector Machine
biomedical imaging
discriminant function
classification
machine learning
MRI
brain imaging
gene microarray
File:
Download ya_thesis_after5aug10review.pdf
Committee Members:
Profs David J Miller And George Kesidis, Dissertation Advisor/Co-Advisor
David Jonathan Miller, Committee Chair/Co-Chair
George Kesidis, Committee Member
Qing X Yang, Committee Chair/Co-Chair
Constantino Manuel Lagoa, Committee Member
James Z Wang, Committee Member

12. Maximum Entropy Modeling for Distributed Classification, Regression, and Interaction Discovery

open_access
Open Access
Author:
Zhang, Yanxin
Title:
Maximum Entropy Modeling for Distributed Classification, Regression, and Interaction Discovery
Graduate Program:
Electrical Engineering
Keywords:
interaction discovery
maximum entropy
distributed classification
regression
File:
Download YanxinZhang-Dissertation.pdf
Committee Members:
David Jonathan Miller, Dissertation Advisor/Co-Advisor
David Jonathan Miller, Committee Chair/Co-Chair
George Kesidis, Committee Chair/Co-Chair
Nirmal K Bose, Committee Member
Jose Antonio Ventura, Committee Member
William Kenneth Jenkins, Committee Member

13. Novel Task Decomposition And Aggregation methods For Knowledge Discovery In Multi-agent systems

open_access
Open Access
Author:
Kurve, Aditya C
Title:
Novel Task Decomposition And Aggregation methods For Knowledge Discovery In Multi-agent systems
Graduate Program:
Electrical Engineering
Keywords:
multi-agent systems
knowledge discovery
game theory
machine learning
Nash equilibrium
crowdsourcing
generative modeling
File:
Download AdityaKurve-Dissertation.pdf
Committee Members:
George Kesidis, Dissertation Advisor/Co-Advisor
Kultegin Aydin, Committee Chair/Co-Chair
David Jonathan Miller, Committee Member
John F Doherty, Committee Member
Jason Ryder Morton, Committee Member
Christopher H Griffin, Committee Member

14. Network Traffic Analysis: Anomaly Detection and Some Implications of Neutrality

open_access
Open Access
Author:
Kocak, Fatih
Title:
Network Traffic Analysis: Anomaly Detection and Some Implications of Neutrality
Graduate Program:
Electrical Engineering
Keywords:
machine learning
anomaly detection
p-value
clustering
feature selection
network neutrality
game theory
caching
networks
File:
Download FatihKocak-Dissertation.pdf
Committee Members:
David Jonathan Miller, Dissertation Advisor/Co-Advisor
George Kesidis, Dissertation Advisor/Co-Advisor
Kenneth Jenkins, Committee Member
John F Doherty, Committee Member
Anna Cinzia Squicciarini, Committee Member

15. Improved generative modeling approaches for semi-supervised and domain adaptive classifier learning from labels and constraints

open_access
Open Access
Author:
Raghuram, Jayaram
Title:
Improved generative modeling approaches for semi-supervised and domain adaptive classifier learning from labels and constraints
Graduate Program:
Electrical Engineering
Keywords:
semisupervised classification
semisupervised constraint based learning
classifier domain adaptation
machine learning
File:
Download Jayaram-Dissertation.pdf
Committee Members:
David Jonathan Miller, Dissertation Advisor/Co-Advisor
David Jonathan Miller, Committee Chair/Co-Chair
George Kesidis, Committee Member
Kenneth Jenkins, Committee Member
Dr Yu Zhang, Committee Member

16. Semisupervised Active Learning and Group Anomaly Detection with Unknown or Label-Scarce Categories

open_access
Open Access
Author:
Qiu, Zhicong
Title:
Semisupervised Active Learning and Group Anomaly Detection with Unknown or Label-Scarce Categories
Graduate Program:
Electrical Engineering
Keywords:
Active learning (AL)
cross entropy
inductive bias
logistic regression
p-value
rare classes
regularization
semisupervised learning (SL).
Active learning
cross entropy
inductive bias
logistic regression
p-value
rare classes
regularization
semi-supervised learning
group anomaly detection
network intrusion detection
Gaussian mixture model
Bonferroni approximation
File:
Download Comp.pdf
Committee Members:
David Jonathan Miller, Dissertation Advisor/Co-Advisor
David Jonathan Miller, Committee Chair/Co-Chair
John F Doherty, Committee Member
George Kesidis, Committee Member
Sencun Zhu, Outside Member

17. User Protection in Social Networks using Machine Learning Techniques

open_access
Open Access
Author:
Zhong, Haoti
Title:
User Protection in Social Networks using Machine Learning Techniques
Graduate Program:
Electrical Engineering
Keywords:
Machine Learning
Privacy
Cyberbully
Social Networks
File:
Download User_protection_in_social_networks_using_machine_learning_techniques.pdf
Committee Members:
David Jonathan Miller, Dissertation Advisor/Co-Advisor
Anna Cinzia Squicciarini, Committee Chair/Co-Chair
George Kesidis, Committee Member
Sencun Zhu, Committee Member
Dongwon Lee, Outside Member

18. Economic Models for Access Networks Informing Regulatory Policy

open_access
Open Access
Author:
Hu, Xinyi
Title:
Economic Models for Access Networks Informing Regulatory Policy
Graduate Program:
Electrical Engineering
Keywords:
Access networks
Regulation
Roaming charge
Side-payment
Game theory
Nash equilibrium
File:
Download Xinyi-Dissertation-final.pdf
Committee Members:
George Kesidis, Dissertation Advisor/Co-Advisor
George Kesidis, Committee Chair/Co-Chair
David Jonathan Miller, Committee Chair/Co-Chair
John F Doherty, Committee Member
Anna Cinzia Squicciarini, Outside Member
Kultegin Aydin, Program Head/Chair