18 citations · 30 across the 7 of their papers we have counts for
7 papers
Resource saving taxonomy classification with k-mer distributions and machine learning
Wolfgang Fuhl, Susanne Zabel, Kay Nieselt
Modern high throughput sequencing technologies like metagenomic sequencing generate millions of sequences which have to be classified based on their taxonomic rank. Modern approach…
A temporally quantized distribution of pupil diameters as a new feature for cognitive load classification
Wolfgang Fuhl, Susanne Zabel, Theresa Harbig +4
In this paper, we present a new feature that can be used to classify cognitive load based on pupil information. The feature consists of a temporal segmentation of the eye tracking…
Area of interest adaption using feature importance
Wolfgang Fuhl, Susanne Zabel, Theresa Harbig +4
In this paper, we present two approaches and algorithms that adapt areas of interest (AOI) or regions of interest (ROI), respectively, to the eye tracking data quality and classifi…
One step closer to EEG based eye tracking
Wolfgang Fuhl, Susanne Zabel, Theresa Harbig +4
In this paper, we present two approaches and algorithms that adapt areas of interest We present a new deep neural network (DNN) that can be used to directly determine gaze position…
The ancient Operational Code is embedded in the amino acid substitution matrix and aaRS phylogenies
Julia A. Shore, Barbara R. Holland, Jeremy G. Sumner +2
The underlying structure of the canonical amino acid substitution matrix (aaSM) is examined by considering stepwise improvements in the differential recognition of amino acids acco…
inPHAP: Interactive visualization of genotype and phased haplotype data
Günter Jäger, Alexander Peltzer, Kay Nieselt
Background: To understand individual genomes it is necessary to look at the variations that lead to changes in phenotype and possibly to disease. However, genotype information alon…
Visualizing dimensionality reduction of systems biology data
Andreas Lehrmann, Michael Huber, Aydin C. Polatkan +2
One of the challenges in analyzing high-dimensional expression data is the detection of important biological signals. A common approach is to apply a dimension reduction method, su…