Vorstellung der geplanten Masterprojekte für das Wintersemester (2022/23)

Various Lecturers

Präsentationen

Introduction to the Master Project Offerings Winter Term 2022/2023

Prof. Dr. Holger Giese

Date: July 11, 2022
Language: English
Duration: 00:01:49
Introduction to the Master Project Offerings Winter Term 2022/2023 00:01:49

Deep Learning Data Generation for Medical Prediction Systems

Robin van de Water , Prof. Dr. Bert Arnrich

Date: July 11, 2022
Language: English
Duration: 00:05:20
Deep Learning Data Generation for Medical Prediction Systems 00:05:20

"Postscript" for Laser Cutters

Prof. Dr. Patrick Baudisch

Date: July 11, 2022
Language: English
Duration: 00:02:29
"Postscript" for Laser Cutters 00:02:29

Exploring AI Models Using Visualzation

Tim Cech , Prof. Dr. Jürgen Döllner

Date: July 11, 2022
Language: German
Duration: 00:04:56
Exploring AI Models Using Visualzation 00:04:56

Distributed High Engagement Honeypots

Prof. Dr. Christian Dörr

Date: July 11, 2022
Language: English
Duration: 00:06:04
Distributed High Engagement Honeypots 00:06:04

Approximating Vehicle Routing Problems

Davis Issac , Prof. Dr. Tobias Friedrich

Date: July 11, 2022
Language: English
Duration: 00:05:46
Approximating Vehicle Routing Problems 00:05:46

Competitive Multi-Agent Reinforcement Learning for Robust Self-Adaptive Systems

Christian Adriano , Prof. Dr. Holger Giese

Date: July 11, 2022
Language: English
Duration: 00:02:48
Competitive Multi-Agent Reinforcement Learning for Robust Self-Adaptive Systems 00:02:48

MLS Multi-Client Authentication

Prof. Dr. Anja Lehmann

Date: July 11, 2022
Language: English
Duration: 00:03:41
MLS Multi-Client Authentication 00:03:41

Genome-wide Association Studies of MRI Imaging Phenotypes

Prof. Dr. Christoph Lippert

Date: July 11, 2022
Language: English
Duration: 00:05:53
Genome-wide Association Studies of MRI Imaging Phenotypes 00:05:53

Towards Automated Red Team Exercising

Prof. Dr. Christoph Meinel

Date: July 11, 2022
Language: German
Duration: 00:04:48
Towards Automated Red Team Exercising 00:04:48

CAST: Classifying Time Series Anomalies

Prof. Dr. Felix Naumann , Sebastian Schmidl

Date: July 11, 2022
Language: English
Duration: 00:05:10
CAST: Classifying Time Series Anomalies 00:05:10

Extend Your Own Database

Prof. Dr. h.c. Hasso Plattner , Marcel Weisgut

Date: July 11, 2022
Language: English
Duration: 00:04:19
Extend Your Own Database 00:04:19

Dispatching Trains from the Cloud

Prof. Dr. Andreas Polze , Robert Schmid

Date: July 11, 2022
Language: English
Duration: 00:05:01
Dispatching Trains from the Cloud 00:05:01

Model Lifecycle Analysis Platform

Ilin Tolovski , Nils Straßenburg , Prof. Dr. Tilmann Rabl

Date: July 11, 2022
Language: English
Duration: 00:03:23
Model Lifecycle Analysis Platform 00:03:23

Challenge Accepted - Framework for Simulation-Based Evaluation of Machine Learning Models

Prof. Dr. Bernhard Renard , Katharina Baum , Pascal Iversen

Date: July 11, 2022
Language: English
Duration: 00:05:20
Challenge Accepted - Framework for Simulation-Based Evaluation of Machine Learning Models 00:05:20