T H E S E S
- Christoph Linse (2024)
 
Towards Understanding Convolutional Neural Networks Through Visualization and Systematic Simplification
- Yaxin Hu (2024)
 
Novel Machine Learning Methods for Video Understanding and Medical Analysis
- 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)
 
- 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

