3 papers
eess.SP2023
Image-based Data Representations of Time Series: A Comparative Analysis in EEG Artifact Detection
Aaron Maiwald, Leon Ackermann, Maximilian Kalcher +1
Alternative data representations are powerful tools that augment the performance of downstream models. However, there is an abundance of such representations within the machine lea…
cs.CL2023
On the Relationship between Skill Neurons and Robustness in Prompt Tuning
Leon Ackermann, Xenia Ohmer
Prompt Tuning is a popular parameter-efficient finetuning method for pre-trained large language models (PLMs). Based on experiments with RoBERTa, it has been suggested that Prompt…
eess.IV2023
Risk stratification of malignant melanoma using neural networks
Julian Burghoff, Leonhard Ackermann, Younes Salahdine +5
In order to improve the detection and classification of malignant melanoma, this paper describes an image-based method that can achieve AUROC values of up to 0.78 without additiona…