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Andreas Schuppert

3 papers here

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

author position
  • middle author2
  • last author1

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • q-bio.SC2
  • cs.CE1
ORCID 0000-0003-3783-6605

identity via Semantic Scholar / OpenAlex

most citedTree-Based Learning on Amperometric Time Series Data Demonstrates High Accuracy for Classification

1 citations · 1 across the 3 of their papers we have counts for

collaborators

3 papers

cs.CE2023

CMDA: a tool for Continuous Monitoring Data Analysis

Pejman Farhadi Ghalati, Andreas Schuppert

Over the last few years, with the growth of time-series collecting and storing, there has been a great demand for tools and software for temporal data engineering and modeling. Thi…

q-bio.SC2023

Spike-by-Spike Frequency Analysis of Amperometry Traces Provides Statistical Validation of Observations in the Time Domain

Jeyashree Krishnan, Zeyu Lian, Pieter E. Oomen +4

Amperometry is a commonly used electrochemical method for studying the process of exocytosis in real-time. Given the high precision of recording that amperometry procedures offer,…

q-bio.SC2023★ 1 cited

Tree-Based Learning on Amperometric Time Series Data Demonstrates High Accuracy for Classification

Jeyashree Krishnan, Zeyu Lian, Pieter E. Oomen +4

Elucidating exocytosis processes provide insights into cellular neurotransmission mechanisms, and may have potential in neurodegenerative diseases research. Amperometry is an estab…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.