Differences

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--- projects [2019/11/19 18:15] – hj
+++ projects [2019/12/04 20:10] (current) – hj
@@ Line 6: / Line 6: @@
 **Presentation Schedule for Project Two (tentative):**
-**Dec 13**:
+**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//
-  - **Md Tanvir Hossan**: //Reinforcement Learning for User Association and Resource Allocation in Heterogeneous Network//
   - **Daniel Gleason**: //Actor Critic Reinforcement Learning for automated parking of differential drive vehicle//
-**Dec 16**:
+**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//
@@ Line 31: / Line 31: @@
-**All Topics for Project Two:**
-  - **Kavitha Bakshi**: //Implementing classifiers to categorize the news based on its content using support vector machines//
-  - **Sahar Seidi Khorramabadi**: //Credit Card Fraud Detection Using Several Machine Learning Methods//
-  - **Rezaul Karim**: //Convolutional Feature Pyramid Network with Recurrent Attention//
-  - **Huy Vu**: //Generating motorbike images using Least Squares Generative Adversarial Networks//
-  - **Md Tanvir Hossan**: //Reinforcement Learning for User Association and Resource Allocation in Heterogeneous Network//
-  - **Daniel Gleason**: //Actor Critic Reinforcement Learning for automated parking of differential drive vehicle//
-  - **Ali Nasehzadeh**: //Deep Reinforcement Learning for Optimal Trade Execution of Bitcoin Cryptocurrency//
-  - **Narges Haghighati Boroujeni**: //Predicting price changes in stock market using recurrent neural networks//
-  - **Yunge Hao**: //Use SVMs and Neural Networks to Predict the Successfulness of Movies in IMDB//
-  - **Fengbo Lan**: //Adversarial training to defend adversarial attacks in MNIST//
-  - **Sheyda Zarandi**: //Image Classification using Convolutional Neural Network//
-  - **Chenxing Zheng**: //Single Image Haze Removal Using Deep Learning//
-  - **Hongda Wu**: //Modulation Recognition Comparison by Using Support Vector Machines and Deep Neural Networks//
-  - **Jonathan Azpur**:  //Deep XGBoost Image Classifier//
-  - **Saeed Khodaparast**: //Chest abnormality detection on X-ray images using deep neural networks//
-  - **Ali Nematichari**: //A Comparative study on several machine learning methods for face recognition//
-  - **Behnam Asadi**: //A Theoretical Study on Approximation Power of Fully Connected Networks with ReLU Activation and Softmax Layer//
-  - **Hamidreza Taleghamar**: //Network Compression for Deep Neural Networks//
-  - **Mahta Shaeesabet**: //Graph Auto-encoder//