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researcher

M. Weidlich

15 papers hereh-index 498.8k citations249 works total

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

author position
  • middle author5
  • last author10

Across the 15 of 15 papers where every author was matched, so the position is known.

fields
  • cs.CR3
  • cs.AI2
  • cs.DB2
  • cs.LG2
  • cs.DC1
  • cs.FL1

identity via Semantic Scholar / OpenAlex

activity
20182023
most citedCROSSBOW: Scaling Deep Learning with Small Batch Sizes on Multi-GPU Servers

12 citations · 27 across the 8 of their papers we have counts for

collaborators
Showing cs.CRShow all

3 papers · 1 filter

cs.CR2021

A Distance Measure for Privacy-preserving Process Mining based on Feature Learning

Fabian Rösel, Stephan A. Fahrenkrog-Petersen, Han van der Aa +1

To enable process analysis based on an event log without compromising the privacy of individuals involved in process execution, a log may be anonymized. Such anonymization strives…

cs.CR2021

Privacy-aware Process Performance Indicators: Framework and Release Mechanisms

Martin Kabierski, Stephan Fahrenkrog-Petersen, Matthias Weidlich

Process performance indicators (PPIs) are metrics to quantify the degree with which organizational goals defined based on business processes are fulfilled. They exploit the event l…

cs.CR2019

Secure Multi-Party Computation for Inter-Organizational Process Mining

Gamal Elkoumy, Stephan A. Fahrenkrog-Petersen, Marlon Dumas +3

Process mining is a family of techniques for analysing business processes based on event logs extracted from information systems. Mainstream process mining tools are designed for i…

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