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L. Fiederer

4 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author3

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.LG2
  • cs.HC1
  • eess.SP1

identity via Semantic Scholar / OpenAlex

activity
20172019
collaborators

4 papers

cs.HC2019

A Research Framework for Virtual Reality Neurosurgery Based on Open-Source Tools

Lukas D. J. Fiederer, Hisham Alwanni, Martin Völker +3

Fully immersive virtual reality (VR) has the potential to improve neurosurgical planning. For example, it may offer 3D visualizations of relevant anatomical structures with complex…

eess.SP2018

A large-scale evaluation framework for EEG deep learning architectures

Felix A. Heilmeyer, Robin T. Schirrmeister, Lukas D. J. Fiederer +3

EEG is the most common signal source for noninvasive BCI applications. For such applications, the EEG signal needs to be decoded and translated into appropriate actions. A recently…

cs.LG2018

Intracranial Error Detection via Deep Learning

Martin Völker, Jiří Hammer, Robin T. Schirrmeister +6

Deep learning techniques have revolutionized the field of machine learning and were recently successfully applied to various classification problems in noninvasive electroencephalo…

cs.LG2017

Deep Transfer Learning for Error Decoding from Non-Invasive EEG

Martin Völker, Robin T. Schirrmeister, Lukas D. J. Fiederer +2

We recorded high-density EEG in a flanker task experiment (31 subjects) and an online BCI control paradigm (4 subjects). On these datasets, we evaluated the use of transfer learnin…

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