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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
Präsentationen
15
Introduction to the Master Project Offerings Winter Term 2022/2023
Deep Learning Data Generation for Medical Prediction Systems
"Postscript" for Laser Cutters
Exploring AI Models Using Visualzation
Distributed High Engagement Honeypots
Approximating Vehicle Routing Problems
Competitive Multi-Agent Reinforcement Learning for Robust Self-Adaptive Systems
MLS Multi-Client Authentication
Genome-wide Association Studies of MRI Imaging Phenotypes
Towards Automated Red Team Exercising
CAST: Classifying Time Series Anomalies
Extend Your Own Database
Dispatching Trains from the Cloud
Model Lifecycle Analysis Platform
Challenge Accepted - Framework for Simulation-Based Evaluation of Machine Learning Models
