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# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "survinng" in publications use:'
type: software
license: MIT
title: 'survinng: Gradient-Based Feature Attribution for Survival Neural Networks'
version: 0.1.0
identifiers:
- type: doi
  value: 10.32614/CRAN.package.survinng
abstract: This package implements model-specific, gradient-based feature attribution
  methods for deep survival neural networks, including DeepHit, CoxTime, and DeepSurv.
  It accompanies the ICML 2025 paper "Gradient-based Explanations for Deep Learning
  Survival Models".
authors:
- family-names: Koenen
  given-names: Niklas
  email: niklas.koenen@gmail.com
  orcid: https://orcid.org/0000-0002-4623-8271
- family-names: Langbein
  given-names: Sophie Hanna
  orcid: https://orcid.org/0000-0001-5629-2055
preferred-citation:
  type: conference-paper
  title: Gradient-based Explanations for Deep Learning Survival Models
  authors:
  - name: Langbein
  - family-names: Hanna
    given-names: Sophie
  - name: Koenen
  - name: Niklas
  - name: Wright
  - family-names: N.
    given-names: Marvin
  collection-title: International Conference on Machine Learning
  collection-type: proceedings
  year: '2025'
  conference:
    name: International Conference on Machine Learning
repository: https://bips-hb.r-universe.dev
commit: 37e2ae011468f92544c10c6fa1398af92d922be9
url: https://bips-hb.github.io/survinng/
date-released: '2025-05-28'
contact:
- family-names: Koenen
  given-names: Niklas
  email: niklas.koenen@gmail.com
  orcid: https://orcid.org/0000-0002-4623-8271