T H E S E S

 

  • Muhammad Mushtaq (2024)

Computational Modelling of Memory-Associated Neural 
Slow Oscillations, Sleep Spindles, and Sharp Wave Ripples

 

  • Philipp Grüning (2023)

E-nets as Novel Deep Networks

 

  • Florian Knoll (2021)

Echtzeitfähiges Deep-Learning Klassifikationssystem für die Flora im Bioanbau

 

  • Stas Semeniuta (2019)

Recurrent Neural Networks for Discriminative and Generative Learning

 

  • Friedrich Anselm Brachmann (2018)

Informationstheoretische Ansätze zur Analyse von Kunst

 

  • Henry Schütze (2018)

On the Learning of Orthogonal Dictionaries for Sparse Coding and the Adaptive Hierarchical Sensing of Sparse and Compressible Signals

 

  • Irina Burciu (2018)

Efficient Bio-Inspired Sensing

 

  • Norman Scheel (2017)

Gehirn im Ruhezustand - Signal oder Rauschen?

 

  • Arne Weigenand (2017)

Thalamocortical dynamics and the effects of sensory stimulation during sleep

 

  • Jens Hocke (2016)

Representation Learning: From Feature Weighting to Invariance

 

  • Michael Schellenberger (2016)

Neural mass models of the sleeping brain

 

  • Jiajie Zhang (2015)

Models and Algorithms for Phylogenetic Marker Analysis

 

  • Hong-Viet Ngo (2014)

When It’s Clicking Overnight  - Auditory Stimulation of Sleep Slow Oscillations to Enhance Memory

 

  • Tim Becker (2013)

Algorithmen zur automatisierten Analyse von in vitro-Stammzellpopulationen

 

  • Laura Pomarjanschi (2013)

Gaze Guidance for Augmented Vision

 

  • Sascha Klement (2013)

The Support Feature Machine: An Odyssey in High-dimensional Spaces

 

  • Anna Telaar (2012)

Classification for Biomarker Search - Aspects of experimental design and a method extension

 

  • Krishna Kandaswamy (2012)

Sequence function classification by machine learning methods

 

  • Ingrid Braenne (2011)

Machine Learning Methods for Genome-Wide Association Data

 

  • Nora Vig (2011)

Methods for the prediction and guidance of human gaze

 

  • Fabian Timm (2011)

Machine Vision for Inspection and Novelty Detection

 

  • Kai Labusch (2011)

Soft-competitive learning of sparse data models

 

  • Martin Haker (2010)

Gesture-Based Interaction with Time-of-Flight Cameras

 

  • Martin Böhme (2010)

Tracking Gaze and Human Activity

 

  • Michael Dorr (2010)

Computational models and systems for gaze guidance

 

  • Amir Madany (2008)

Computergestützte Analyse von biologischen und bioinspirierten Signalverarbeitungs- und Wahrnehmungsprozessen

 

  • Daniel Schneegaß (2008)

Steigerung der Informationsezienz im Reinforcement-Learning

 

  • Günther Westphal (2007)

Feature-Driven Emergence of Model Graphs for Object Recognition and Categorization

 

 

Nach oben