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Deep Learning for Industrial Applications

Seminar an der Universität des Saarlandes, Fachrichtung Informatik, LVst 109686

The current assignment of topics and dates to pre-registered participants for presentations and their opponents is as follows:

Topic#

Topic and Presenter

Date

Opponents

Finance

1a

L Zhang et al. (2017): Stock Price Prediction via Discovering Multi-Frequency Trading Patterns.

Gabriele Lamarck Silveira

16.4.

Chen, Baig

Healthcare

2b

N Tajbakhsh et al. (2016): Convolutional Neural Networks for Medical Image Analysis: Full Training or Fine Tuning?

Ayan Majumdar

23.4.

cancelled

 

3

Z Che et al. (2017): Boosting Deep Learning Risk Prediction with Generative Adversarial Networks for Electronic Health Records.

Karolina Kume

7.5.

Verma, Anwari

Autonomous Driving

4

A Uçar et al. (2017): Object Recognition and Detection with Deep Learning for Autonomous Driving Applications.

Mossad Helali

14.5.

Othman, Silveira

5

X Huazhe et al. (2017): End-to-end Learning of Driving Models from Large-scale Video Datasets.

Anilkumar Erappanakoppal Swamy

18.6.

cancelled

 

6

X Wang et al. (2017): Capturing Car-Following Behaviors by Deep Learning.

Hanan Othman

4.6.

Chen, Baig

7

J Zhang et al. (2016): Deep Reinforcement Learning with Successor Features for Navigation Across Similar Environments.

Tejaswani Verma

11.6.

Helali, Kume

8

H Zou et al. (2018): Understanding Human Behaviors in Crowds by Imitating the Decision-Making Process.

Shreya Soans

28.5.

cancelled

 

9

WC Ma et al. (2017): Forecasting Interactive Dynamics of Pedestrians with Fictitious Play.

Muhammad Ehtisham Ali

cancelled

 

Recommendation

10

C Chen et al. (2017): Location-Aware Personalized News Recommendation With Deep Semantic Analysis. 

Ahmed Sohail Anwari

25.6.

Helali, Kume

11

S Zhang et al. (2017): AutoSVD++: An Efficient Hybrid Collaborative Filtering Model via Contractive Autoencoders.

Mirza Misbah Mubeen Baig

2.7.

Othman, Silveira

12

X He et al. (2017): Neural collaborative filtering.

Dingfan Chen

9.7.

Verma, Anwari

Impressum