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Michael Gleicher

University of Wisconsin - Madison

19 papers hereh-index 6415.6k citations278 works total

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

author position
  • first author2
  • middle author12
  • last author5

Across the 19 of 19 papers where every author was matched, so the position is known.

fields
  • cs.RO11
  • cs.HC4
  • cs.CV1
  • cs.GR1
  • cs.IR1
  • cs.LG1
affiliations
  • University of Wisconsin - Madison
Homepage
same name
  • Michael Gleicher — 9 papers, h 3
  • Michael Gleicher — 4 papers
  • Michael Gleicher — 3 papers, h 2
  • Michael Gleicher — 1 paper, h 2

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

activity
20182024
most citedCorrective Shared Autonomy for Addressing Task Variability

39 citations · 115 across the 13 of their papers we have counts for

collaborators
Showing cs.HCShow all

4 papers · 1 filter

cs.HC2022

Manually Acquiring Targets from Multiple Viewpoints Using Video Feedback

Bailey Ramesh, Anna Konstant, Pragathi Praveena +5

Objective: The effect of camera viewpoint was studied when performing visually obstructed psychomotor targeting tasks. Background: Previous research in laparoscopy and robotic tele…

cs.HC2020

Boxer: Interactive Comparison of Classifier Results

Michael Gleicher, Aditya Barve, Xinyi Yu +1

Machine learning practitioners often compare the results of different classifiers to help select, diagnose and tune models. We present Boxer, a system to enable such comparison. Ou…

cs.HC2018

Visual Designs for Binned Aggregation of Multi-Class Scatterplots

Florian Heimerl, Chih-Ching Chang, Alper Sarikaya +1

Point sets in 2D with multiple classes are a common type of data. A canonical visualization design for them are scatterplots, which do not scale to large collections of points. For…

cs.HC2018

A User-based Visual Analytics Workflow for Exploratory Model Analysis

Dylan Cashman, Shah Rukh Humayoun, Florian Heimerl +9

Many visual analytics systems allow users to interact with machine learning models towards the goals of data exploration and insight generation on a given dataset. However, in some…

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