EECS6327

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 Shaeesabet: Graph Auto-encoder
Hamidreza Taleghamar: Network Compression for Deep Neural Networks