Convex optimization for actionable & plausible counterfactual explanations

Artelt A, Hammer B (2021)
arXiv: 2105.07630v1.

Preprint | Englisch
 
Download
Es wurden keine Dateien hochgeladen. Nur Publikationsnachweis!
URL
Autor*in
Artelt, AndréUniBi ; Hammer, BarbaraUniBi
Einrichtung
Technische Fakultät > AG Machine Learning
Center of Excellence - Cognitive Interaction Technology CITEC > Machine Learning
Projekt
IMPACT-ML: The implications of conversing with intelligent machines in everyday life on people's beliefs about algorithms, their communication behavior and their relationship building
Erscheinungsjahr
2021
Zeitschriftentitel
arXiv: 2105.07630v1
Page URI
https://pub.uni-bielefeld.de/record/2959899

Zitieren

Artelt A, Hammer B. Convex optimization for actionable & plausible counterfactual explanations. arXiv: 2105.07630v1. 2021.
Artelt, A., & Hammer, B. (2021). Convex optimization for actionable & plausible counterfactual explanations. arXiv: 2105.07630v1
Artelt, André, and Hammer, Barbara. 2021. “Convex optimization for actionable & plausible counterfactual explanations”. arXiv: 2105.07630v1.
Artelt, A., and Hammer, B. (2021). Convex optimization for actionable & plausible counterfactual explanations. arXiv: 2105.07630v1.
Artelt, A., & Hammer, B., 2021. Convex optimization for actionable & plausible counterfactual explanations. arXiv: 2105.07630v1.
A. Artelt and B. Hammer, “Convex optimization for actionable & plausible counterfactual explanations”, arXiv: 2105.07630v1, 2021.
Artelt, A., Hammer, B.: Convex optimization for actionable & plausible counterfactual explanations. arXiv: 2105.07630v1. (2021).
Artelt, André, and Hammer, Barbara. “Convex optimization for actionable & plausible counterfactual explanations”. arXiv: 2105.07630v1 (2021).

Link(s) zu Volltext(en)
URL
https://arxiv.org/pdf/2105.07630
Access Level
OA Open Access

Export

Markieren/ Markierung löschen
Markierte Publikationen

Open Data PUB

Quellen

arXiv: 2105.07630v1

Suchen in

Google Scholar