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David Imhof

5 papers hereh-index 8308 citations17 works total

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

author position
  • first author3
  • middle author1
  • last author1

Across the 5 of 5 papers where every author was matched, so the position is known.

fields
  • econ.EM2
  • econ.GN2
  • stat.ML1

identity via Semantic Scholar / OpenAlex

activity
20202026
most citedDetecting bid-rigging coalitions in different countries and auction formats

1 citations · 1 across the 4 of their papers we have counts for

collaborators
Showing 2021Show all

2 papers · 1 filter

econ.GN2021★ 1 cited

Detecting bid-rigging coalitions in different countries and auction formats

David Imhof, Hannes Wallimann

We propose an original application of screening methods using machine learning to detect collusive groups of firms in procurement auctions. As a methodical innovation, we calculate…

stat.ML2021

Deep learning for detecting bid rigging: Flagging cartel participants based on convolutional neural networks

Martin Huber, David Imhof

Adding to the literature on the data-driven detection of bid-rigging cartels, we propose a novel approach based on deep learning (a subfield of artificial intelligence) that flags…

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