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Dimitris Kalles

16 papers hereh-index 181.2k citations122 works total

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

author position
  • sole author2
  • first author4
  • middle author6
  • last author4

Across the 16 of 16 papers where every author was matched, so the position is known.

fields
  • cs.AI11
  • cs.HC2
  • cs.DC1
  • cs.LG1
  • cs.SE1
Homepage
same name
  • Dimitris Kalles — 7 papers, h 2
  • Dimitris Kalles — 1 paper
  • Dimitris Kalles — 1 paper, h 1
  • Dimitris Kalles — 1 paper

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
20062026
most citedAssessing the Impact of Virtualizing Physical Labs

7 citations · 16 across the 16 of their papers we have counts for

collaborators
Showing 2017Show all

4 papers · 1 filter

cs.HC2017★ 7 cited

Assessing the Impact of Virtualizing Physical Labs

Evgenia Paxinou, Vasilis Zafeiropoulos, Athanasios Sypsas +2

Virtual laboratories are the new online educational trend for communicating to students practical skills of science. In this paper we report on a comparison of techniques for famil…

cs.AI2017

Decision Trees for Helpdesk Advisor Graphs

Spyros Gkezerlis, Dimitris Kalles

We use decision trees to build a helpdesk agent reference network to facilitate the on-the-job advising of junior or less experienced staff on how to better address telecommunicati…

cs.AI2017

On Using Linear Diophantine Equations to Tune the extent of Look Ahead while Hiding Decision Tree Rules

Georgios Feretzakis, Dimitris Kalles, Vassilios S. Verykios

This paper focuses on preserving the privacy of sensitive pat-terns when inducing decision trees. We adopt a record aug-mentation approach for hiding sensitive classification rules…

cs.AI2017

Data set operations to hide decision tree rules

Dimitris Kalles, Vassilios S. Verykios, Georgios Feretzakis +1

This paper focuses on preserving the privacy of sensitive patterns when inducing decision trees. We adopt a record augmentation approach for hiding sensitive classification rules i…

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