EECS6327

User Tools

Site Tools

You are here: EECS 6327 Probabilistic Models & Machine Learning (Fall 2019) » projects
Trace:
projects

Differences

This shows you the differences between two versions of the page.

Link to this comparison view

Both sides previous revisionPrevious revision
Next revision		Previous revision
projects [2019/11/18 17:43] – hjprojects [2019/12/04 20:10] (current) – hj
Line 6: Line 6:
 **Presentation Schedule for Project Two (tentative):** **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// +   - **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// +   - **Yunge Hao**: //Use SVMs and Neural Networks to Predict the Successfulness of Movies in IMDB//
-  - 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//  +
-  - 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// +
-  - Hamidreza Taleghamar: //Network Compression for Deep Neural Networks// +
- +
- +
-  * **Dec 16**:    +
-  - 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 Approximation Power of Fully Connected Networks with ReLU Activation and Softmax Layer// +
-  - Mahta Sha eesabet: //Graph Auto-encoder// +
-   +
- +
- +
-**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//   - **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//   - **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//  
-  - **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//   - **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// +  - **Narges 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//   - **Hongda Wu**: //Modulation Recognition Comparison by Using Support Vector Machines and Deep Neural Networks//
-  - **Jonathan Azpur**:  //Deep XGBoost Image Classifier//+  - **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//   - **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//   - **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//+  - **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//   - **Hamidreza Taleghamar**: //Network Compression for Deep Neural Networks//
-  - **Mahta Sha eesabet**: //Graph Auto-encoder//+   
 + 
  
projects.1574099035.txt.gz · Last modified: by hj