8 citations · 11 across the 4 of their papers we have counts for
4 papers
FZI-WIM at SemEval-2024 Task 2: Self-Consistent CoT for Complex NLI in Biomedical Domain
Jin Liu, Steffen Thoma
This paper describes the inference system of FZI-WIM at the SemEval-2024 Task 2: Safe Biomedical Natural Language Inference for Clinical Trials. Our system utilizes the chain of th…
XTSC-Bench: Quantitative Benchmarking for Explainers on Time Series Classification
Jacqueline Höllig, Steffen Thoma, Florian Grimm
Despite the growing body of work on explainable machine learning in time series classification (TSC), it remains unclear how to evaluate different explainability methods. Resorting…
Literature Review: Computer Vision Applications in Transportation Logistics and Warehousing
Alexander Naumann, Felix Hertlein, Laura Dörr +2
Computer vision applications in transportation logistics and warehousing have a huge potential for process automation. We present a structured literature review on research in the…
TSInterpret: A unified framework for time series interpretability
Jacqueline Höllig, Cedric Kulbach, Steffen Thoma
With the increasing application of deep learning algorithms to time series classification, especially in high-stake scenarios, the relevance of interpreting those algorithms become…