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1806.07498
Cited By
Defining Locality for Surrogates in Post-hoc Interpretablity
19 June 2018
Thibault Laugel
X. Renard
Marie-Jeanne Lesot
Christophe Marsala
Marcin Detyniecki
FAtt
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Papers citing
"Defining Locality for Surrogates in Post-hoc Interpretablity"
12 / 12 papers shown
Title
Enhanced Photonic Chip Design via Interpretable Machine Learning Techniques
Lirandë Pira
Airin Antony
Nayanthara Prathap
Daniel Peace
Jacquiline Romero
14
0
0
14 May 2025
ExplainReduce: Summarising local explanations via proxies
Lauri Seppäläinen
Mudong Guo
Kai Puolamäki
FAtt
52
0
0
17 Feb 2025
ExpProof : Operationalizing Explanations for Confidential Models with ZKPs
Chhavi Yadav
Evan Monroe Laufer
Dan Boneh
Kamalika Chaudhuri
93
0
0
06 Feb 2025
Explaining text classifiers through progressive neighborhood approximation with realistic samples
Yi Cai
Arthur Zimek
Eirini Ntoutsi
Gerhard Wunder
AI4TS
22
0
0
11 Feb 2023
The State of the Art in Enhancing Trust in Machine Learning Models with the Use of Visualizations
Angelos Chatzimparmpas
R. Martins
I. Jusufi
K. Kucher
Fabrice Rossi
A. Kerren
FAtt
26
160
0
22 Dec 2022
Fairness of Machine Learning Algorithms in Demography
I. Emmanuel
E. Mitrofanova
FaML
14
0
0
02 Feb 2022
XPROAX-Local explanations for text classification with progressive neighborhood approximation
Yi Cai
Arthur Zimek
Eirini Ntoutsi
25
5
0
30 Sep 2021
Explainability Fact Sheets: A Framework for Systematic Assessment of Explainable Approaches
Kacper Sokol
Peter A. Flach
XAI
19
299
0
11 Dec 2019
bLIMEy: Surrogate Prediction Explanations Beyond LIME
Kacper Sokol
Alexander Hepburn
Raúl Santos-Rodríguez
Peter A. Flach
FAtt
11
38
0
29 Oct 2019
Can I Trust the Explainer? Verifying Post-hoc Explanatory Methods
Oana-Maria Camburu
Eleonora Giunchiglia
Jakob N. Foerster
Thomas Lukasiewicz
Phil Blunsom
FAtt
AAML
29
60
0
04 Oct 2019
Issues with post-hoc counterfactual explanations: a discussion
Thibault Laugel
Marie-Jeanne Lesot
Christophe Marsala
Marcin Detyniecki
CML
107
44
0
11 Jun 2019
LEAFAGE: Example-based and Feature importance-based Explanationsfor Black-box ML models
Ajaya Adhikari
David Tax
R. Satta
M. Faeth
FAtt
23
11
0
21 Dec 2018
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