18 citations · 30 across the 7 of their papers we have counts for
4 papers · 1 filter
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…