Presentation Schedule for Project Two (tentative):

Dec 13: 2-5pm @BRG 211

  1. Sahar Khorramabadi: Credit Card Fraud Detection Using Several Machine Learning Methods
  2. Yunge Hao: Use SVMs and Neural Networks to Predict the Successfulness of Movies in IMDB
  3. Rezaul Karim: Convolutional Feature Pyramid Network with Recurrent Attention
  4. Sheyda Zarandi: Image Classification using Convolutional Neural Network
  5. Md Tanvir Hossan: White Blood Cell Image Classification using Convolutional Neural Network
  6. Chenxing Zheng: Single Image Haze Removal Using Deep Learning
  7. Fengbo Lan: Adversarial training to defend adversarial attacks in MNIST
  8. Huy Vu: Generating motorbike images using Least Squares Generative Adversarial Networks
  9. Daniel Gleason: Actor Critic Reinforcement Learning for automated parking of differential drive vehicle

Dec 16: 2-5pm @LAS3033

  1. Ali Nasehzadeh: Deep Reinforcement Learning for Optimal Trade Execution of Bitcoin Cryptocurrency
  2. Narges Boroujeni: Predicting price changes in stock market using recurrent neural networks
  3. Hongda Wu: Modulation Recognition Comparison by Using Support Vector Machines and Deep Neural Networks
  4. Kavitha Bakshi: Implementing classifiers to categorize the news based on its content using support vector machines
  5. Saeed Khodaparast: Chest abnormality detection on X-ray images using deep neural networks
  6. Jonathan Azpur: Deep XGBoost Image Classifier
  7. Ali Nematichari: A Comparative study on several machine learning methods for face recognition
  8. Behnam Asadi: A Theoretical Study on Fully Connected Networks with ReLU Activation and Softmax Layer
  9. Mahta Sha eesabet: Graph Auto-encoder
  10. Hamidreza Taleghamar: Network Compression for Deep Neural Networks