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Start Over Area of Honors Computer Science Thesis Supervisor John Joseph Hannan

2. Efficient Multi-Period Trading and Learning Techniques for Portfolio Optimization

open_access
Open Access
Author:
Diwan, Ishaan
Title:
Efficient Multi-Period Trading and Learning Techniques for Portfolio Optimization
Area of Honors:
Computer Science
Keywords:
machine learning
portfolio optimization
stocks
trading
boosted decision trees
decision trees
Markowitz mean-variance portfolio theory
File:
Download Diwan_Thesis_Final.pdf
Thesis Supervisors:
Mehrdad Mahdavi, Thesis Supervisor
John Joseph Hannan, Thesis Honors Advisor

3. Exploration of the Relationship Between Confidence and Accuracy of an Inception V3 Model on a Dataset of Diseased and Healthy Crops

open_access
Open Access
Author:
Singh, Chanpreet
Title:
Exploration of the Relationship Between Confidence and Accuracy of an Inception V3 Model on a Dataset of Diseased and Healthy Crops
Area of Honors:
Computer Science
Keywords:
tensorflow
imageclassification
machinelearning
plantscience
File:
Download singh_thesis_final.pdf
Thesis Supervisors:
Daniel Kifer, Thesis Supervisor
John Joseph Hannan, Thesis Honors Advisor
David Peter Hughes, Faculty Reader

7. Feature Selection for Raman Spectra of Alzheimer’s Disease Through Recursive Feature Elimination with Random Forest

open_access
Open Access
Author:
Biase, Isabelle
Title:
Feature Selection for Raman Spectra of Alzheimer’s Disease Through Recursive Feature Elimination with Random Forest
Area of Honors:
Computer Science
Keywords:
Random Forest
Recursive Feature Elimination
Alzheimer's Disease
Machine Learning
Raman Spectroscopy
File:
Download Biase_Thesis.pdf
Thesis Supervisors:
Shengxi Huang, Thesis Supervisor
John Joseph Hannan, Thesis Honors Advisor

8. Genome-Metagenome Similarity Graph: a Novel Data Structure for Containment-Based Metagenome Comparison

open_access
Open Access
Author:
Thomas, Isaac
Title:
Genome-Metagenome Similarity Graph: a Novel Data Structure for Containment-Based Metagenome Comparison
Area of Honors:
Computer Science
Keywords:
Metagenomics
Bioinformatics
Mathematics
Computer Science
Metagenomic Similarity
File:
Download SHCThesis_IsaacThomas_Final.pdf
Thesis Supervisors:
David Koslicki, Thesis Supervisor
John Joseph Hannan, Thesis Honors Advisor

10. Collecting Data for Human Confusion When Following Simulated Robot’s Instructions

open_access
Open Access
Author:
Anderson, Caroline
Title:
Collecting Data for Human Confusion When Following Simulated Robot’s Instructions
Area of Honors:
Computer Science
Keywords:
computer vision
human robot interaction
convolutional neural networks
computer science
unity
simulation
human computer interaction
File:
Download CarolineAndersonFinalThesis.pdf
Thesis Supervisors:
Alan Richard Wagner, Thesis Supervisor
John Joseph Hannan, Thesis Honors Advisor

11. Storage Latency Tradeoffs in Geographically-Distributed Storage Settings

open_access
Open Access
Author:
Balcik, Ethan
Title:
Storage Latency Tradeoffs in Geographically-Distributed Storage Settings
Area of Honors:
Computer Science
Keywords:
erasure coding
graph theory
coding theory
information theory
chromatic number
latency
algorithm
computer science
mathematics
storagetopology
network
computer networking
data
object
linear coding
linear algebra
linear combination
average latency
worst-case latency
worst case latency
optimal
performance
storage capacity
node
edge
channel
capacity
storage
File:
Download balcik-ethan-storage-latency-tradeoffs-in-geographically-distributed-storage-settings-4.4.2022.pdf
Thesis Supervisors:
Viveck Ramesh Cadambe, Thesis Supervisor
John Joseph Hannan, Thesis Honors Advisor
Bhuvan Urgaonkar, Thesis Honors Advisor

15. Leveraging Unlabeled Data for Video Understanding using Pretrained Vision-Language Models

open_access
Open Access
Author:
Chan, Michael
Title:
Leveraging Unlabeled Data for Video Understanding using Pretrained Vision-Language Models
Area of Honors:
Computer Science
Keywords:
Video Understanding
Pre-trained Vision-Language Models
VideoBERT
Unlabeled Data
BERT
LSTM
Video Representations
File:
Download Chan_Thesis_Final2.pdf
Thesis Supervisors:
Rui Zhang, Thesis Supervisor
John Joseph Hannan, Thesis Honors Advisor

20. Studies of Linear and Deep-Neural Network (DNN) Models for Automated Short Answer Grading

open_access
Open Access
Author:
Tomar, Yajur
Title:
Studies of Linear and Deep-Neural Network (DNN) Models for Automated Short Answer Grading
Area of Honors:
Computer Science
Keywords:
ASAG
NLP
Neural Networks
Linear Models
Non-linear Models
Regular Expression Based Features
SemEval
AutoP
Feature Engineering
File:
Download Tomar_Yajur_Studies_of_Linear_and_Deep-Neural_Network__DNN__Models_for_Automated_Short_Answer_Grading.pdf
Thesis Supervisors:
Rui Zhang, Thesis Supervisor
John Joseph Hannan, Thesis Honors Advisor