*   {{:project1.pdf|Project one}}

   *   Project Two: Your project 2 report will be submitted as a CS conference paper. You may use any latex temple from CVPR, ACL, ICML, etc.  It is expected to be 6-8 pages (double-columned). I will mark your report as a conference reviewer based on format, writing style, work quality, extra additions to the existing methods, etc..

**Presentation Schedule for Project Two (tentative):**

**Dec 13**: **2-5pm @BRG 211** 
   - **Sahar Khorramabadi**: //Credit Card Fraud Detection Using Several Machine Learning Methods//
   - **Yunge Hao**: //Use SVMs and Neural Networks to Predict the Successfulness of Movies in IMDB//
  - **Rezaul Karim**: //Convolutional Feature Pyramid Network with Recurrent Attention//
  - **Sheyda Zarandi**: //Image Classification using Convolutional Neural Network//
  - **Md Tanvir Hossan**: //White Blood Cell Image Classification using Convolutional Neural Network//
  - **Chenxing Zheng**: //Single Image Haze Removal Using Deep Learning//
  - **Fengbo Lan**: //Adversarial training to defend adversarial attacks in MNIST//
  - **Huy Vu**: //Generating motorbike images using Least Squares Generative Adversarial Networks//
  - **Daniel Gleason**: //Actor Critic Reinforcement Learning for automated parking of differential drive vehicle// 

**Dec 16**:   **2-5pm @LAS3033**
  - **Ali Nasehzadeh**: //Deep Reinforcement Learning for Optimal Trade Execution of Bitcoin Cryptocurrency//
  - **Narges Boroujeni**:  //Predicting price changes in stock market using recurrent neural networks//
  - **Hongda Wu**: //Modulation Recognition Comparison by Using Support Vector Machines and Deep Neural Networks//
  - **Kavitha Bakshi**: //Implementing classifiers to categorize the news based on its content using support vector machines//
  - **Saeed Khodaparast**: //Chest abnormality detection on X-ray images using deep neural networks//
  - **Jonathan Azpur**: //Deep XGBoost Image Classifier//
  - **Ali Nematichari**: //A Comparative study on several machine learning methods for face recognition//
  - **Behnam Asadi**:  //A Theoretical Study on Fully Connected Networks with ReLU Activation and Softmax Layer//
  - **Mahta Shaeesabet**: //Graph Auto-encoder//
  - **Hamidreza Taleghamar**: //Network Compression for Deep Neural Networks//