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Mike Schaekermann

4 papers hereh-index 5117 citations7 works total

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

author position
  • middle author3
  • last author1

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.HC3
  • cs.LG1
same name
  • Mike Schaekermann — 26 papers, h 18

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

most citedData Excellence for AI: Why Should You Care

2 citations · 5 across the 4 of their papers we have counts for

collaborators
Showing cs.HCShow all

3 papers · 1 filter

cs.HC2021★ 1 cited

In Search of Ambiguity: A Three-Stage Workflow Design to Clarify Annotation Guidelines for Crowd Workers

Vivek Krishna Pradhan, Mike Schaekermann, Matthew Lease

We propose a novel three-stage FIND-RESOLVE-LABEL workflow for crowdsourced annotation to reduce ambiguity in task instructions and thus improve annotation quality. Stage 1 (FIND)…

cs.HC2021

Proceedings of the CSCW 2021 Workshop -- Investigating and Mitigating Biases in Crowdsourced Data

Danula Hettiachchi, Mark Sanderson, Jorge Goncalves +5

This volume contains the position papers presented at CSCW 2021 Workshop - Investigating and Mitigating Biases in Crowdsourced Data, held online on 23rd October 2021, at the 24th A…

cs.HC2021★ 2 cited

The Challenge of Variable Effort Crowdsourcing and How Visible Gold Can Help

Danula Hettiachchi, Mike Schaekermann, Tristan McKinney +1

We consider a class of variable effort human annotation tasks in which the number of labels required per item can greatly vary (e.g., finding all faces in an image, named entities…

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