Selected Topics in Data Science
Die Seminarteilnehmer werden aktuelle Forschungstrends und etablierte Ansätze im Bereich der Data Science behandeln. Die Teilnehmer können wählen, ob sie im Rahmen dieses Seminars den theoretischen oder den praktischen Forschungsprojektteil absolvieren möchten
Arbeiten aus vergangenen Semestern
Semester | Titel | Art |
SoSe 22 | QR-Code Reconstruction from Low-Resolution Video Frames | Applied |
SoSe 22 | Dataset Enrichment using Simulations | Applied |
SoSe 22 | Water Level Prediction of the Wupper using PyTorch Forecasting | Applied |
SoSe 22 | Implicit vs. Explicit Information for Neural Networks | Applied |
SoSe 22 | Detecting valid robot poses with neural networks | Applied |
SoSe 22 | How to measure similarity of robot poses | Applied |
SoSe 22 | Setup of a Machine Learning Semantic Labeling Algorithm | Applied |
SoSe 22 | Strengths and Weaknesses of Dispatching Rules in Production Scheduling | Applied |
SoSe 22 | An experimental comparative study of time series databases | Applied |
SoSe 22 | Literature Review for Flood Prediction Using Deep Learning | Theory |
SoSe 22 | State of the art in optical character recognition (OCR) | Theory |
SoSe 22 | How to detect fake news in social media | Theory |
SoSe 22 | In data we trust? The gap between reality and algorithmic predictions | Theory |
SoSe 20 | Robustes Reinforcement Learning durch Domain Randomization | Applied |
SoSe 20 | Was wäre wenn? - Hindsight experience replay for Reinforcement Learning | Applied |
SoSe 20 | Intrisische Motivation zur effizienten Exploration in Reinforcement Learning | Applied |