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researcher

David Martens

4 papers hereh-index 406.6k citations129 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.LG2
  • cs.HC1
  • cs.SD1
same name
  • David Martens — 5 papers
  • David Martens — 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
20192022
most citedDance Hit Song Prediction

69 citations · 77 across the 4 of their papers we have counts for

collaborators

4 papers

cs.LG2022

The privacy issue of counterfactual explanations: explanation linkage attacks

Sofie Goethals, Kenneth Sörensen, David Martens

Black-box machine learning models are being used in more and more high-stakes domains, which creates a growing need for Explainable AI (XAI). Unfortunately, the use of XAI in machi…

cs.LG2021★ 1 cited

How to choose an Explainability Method? Towards a Methodical Implementation of XAI in Practice

Tom Vermeire, Thibault Laugel, Xavier Renard +2

Explainability is becoming an important requirement for organizations that make use of automated decision-making due to regulatory initiatives and a shift in public awareness. Vari…

cs.HC2021★ 7 cited

Understanding Consumer Preferences for Explanations Generated by XAI Algorithms

Yanou Ramon, Tom Vermeire, Olivier Toubia +2

Explaining firm decisions made by algorithms in customer-facing applications is increasingly required by regulators and expected by customers. While the emerging field of Explainab…

cs.SD2019★ 69 cited

Dance Hit Song Prediction

Dorien herremans, David Martens, Kenneth Sörensen

Record companies invest billions of dollars in new talent around the globe each year. Gaining insight into what actually makes a hit song would provide tremendous benefits for the…

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