Generative Approach for Multivariate Signals - Revision history

Tiago at 15:27, 12 October 2023

2023-10-12T15:27:46Z

2022-10-05T11:34:07Z

2021-08-24T08:08:15Z

2020-10-09T11:23:33Z

2020-10-07T10:48:07Z

2020-10-06T08:09:49Z

2020-09-29T07:34:00Z

2020-09-29T07:33:36Z

Created page with "{{StudentProjectTemplate |Summary=. |Supervisor=. |Status=Internal Draft }}"

New page

{{StudentProjectTemplate
|Summary=.
|Supervisor=.
|Status=Internal Draft
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@@ Line 8: / Line 8: @@
 https://www.sciencedirect.com/science/article/pii/S092658051930367X
 |Supervisor=Kunru Chen, Abdallah Alabdallah, Thorsteinn Rögnvaldsson
 |Level=Master
 |Status=Open
 }}

@@ Line 1: / Line 1: @@
 {{StudentProjectTemplate
-|Summary=The topic focuses on generative models (GAN) for CAN-bus data and investigating the representation learning capabilities of such techniques
+|Summary=The topic focuses on generative models (VAE) for CAN-bus data and investigating the representation learning capabilities of such techniques
-|Keywords=GAN, Time-series data, Streaming data, MAR
+|Keywords=VAE, Time-series data, Streaming data, MAR
 |TimeFrame=2021 Fall - 2022 Summer
 |References=https://papers.nips.cc/paper/8789-time-series-generative-adversarial-networks.pdf
-https://arxiv.org/abs/1706.02633
+https://openreview.net/pdf?id=Sy2fzU9gl
-https://openreview.net/pdf?id=rJedV3R5tm
+https://www.sciencedirect.com/science/article/pii/S092658051930367X
 |Prerequisites=Excellent Programming Skills
 Excellent knowledge in Machine Learning and Neural Networks
-|Supervisor=Kunru Chen, Tiago Cortinhal, Thorsteinn Rögnvaldsson,
+|Supervisor=Kunru Chen, Abdallah Alabdallah, Thorsteinn Rögnvaldsson
 |Level=Master
 |Status=Open
 }}

@@ Line 1: / Line 1: @@
 {{StudentProjectTemplate
 |Summary=The topic focuses on generative models (GAN) for CAN-bus data and investigating the representation learning capabilities of such techniques
-|Keywords=GAN, CAN data, MAR
+|Keywords=GAN, Time-series data, Streaming data, MAR
-|TimeFrame=2020 Fall - 2021 Summer
+|TimeFrame=2021 Fall - 2022 Summer
 |References=https://papers.nips.cc/paper/8789-time-series-generative-adversarial-networks.pdf

← Older revision		Revision as of 11:23, 9 October 2020
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−	If you want more information about this topic you can contact us at kunru.~~cheh~~@hh.se and tiago.cortinhal@hh.se or pass by our office at E522!	+	If you want more information about this topic you can contact us at kunru.chen@hh.se and tiago.cortinhal@hh.se or pass by our office at E522!

← Older revision		Revision as of 10:48, 7 October 2020
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	Can GANs generate/predict the (near) future CAN signals?		Can GANs generate/predict the (near) future CAN signals?
	Is the latent space an informative representation about the CAN signals?		Is the latent space an informative representation about the CAN signals?
		+
		+
		+	If you want more information about this topic you can contact us at kunru.cheh@hh.se and tiago.cortinhal@hh.se or pass by our office at E522!