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Local Interpretable Model-agnostic Explanations of Bayesian Predictive
  Models via Kullback-Leibler Projections

Local Interpretable Model-agnostic Explanations of Bayesian Predictive Models via Kullback-Leibler Projections

5 October 2018
Tomi Peltola
    FAttBDL
ArXiv (abs)PDFHTML

Papers citing "Local Interpretable Model-agnostic Explanations of Bayesian Predictive Models via Kullback-Leibler Projections"

15 / 15 papers shown
Title
Deep Learning Approaches for Seizure Video Analysis: A Review
Deep Learning Approaches for Seizure Video Analysis: A Review
David Ahmedt-Aristizabal
M. Armin
Zeeshan Hayder
Norberto Garcia-Cairasco
Lars Petersson
Clinton Fookes
Simon Denman
A. McGonigal
110
21
0
18 Dec 2023
Towards Interpretable Classification of Leukocytes based on Deep
  Learning
Towards Interpretable Classification of Leukocytes based on Deep Learning
S. Röhrl
Johannes Groll
M. Lengl
Simon Schumann
C. Klenk
D. Heim
Martin Knopp
Oliver Hayden
Klaus Diepold
54
2
0
24 Nov 2023
Causality-Aware Local Interpretable Model-Agnostic Explanations
Causality-Aware Local Interpretable Model-Agnostic Explanations
Martina Cinquini
Riccardo Guidotti
CML
80
1
0
10 Dec 2022
Integrating Prior Knowledge in Post-hoc Explanations
Integrating Prior Knowledge in Post-hoc Explanations
Adulam Jeyasothy
Thibault Laugel
Marie-Jeanne Lesot
Christophe Marsala
Marcin Detyniecki
31
6
0
25 Apr 2022
LIMEcraft: Handcrafted superpixel selection and inspection for Visual
  eXplanations
LIMEcraft: Handcrafted superpixel selection and inspection for Visual eXplanations
Weronika Hryniewska
Adrianna Grudzieñ
P. Biecek
FAtt
78
3
0
15 Nov 2021
ProtoShotXAI: Using Prototypical Few-Shot Architecture for Explainable
  AI
ProtoShotXAI: Using Prototypical Few-Shot Architecture for Explainable AI
Samuel Hess
G. Ditzler
AAML
76
1
0
22 Oct 2021
Benchmarking and Survey of Explanation Methods for Black Box Models
Benchmarking and Survey of Explanation Methods for Black Box Models
F. Bodria
F. Giannotti
Riccardo Guidotti
Francesca Naretto
D. Pedreschi
S. Rinzivillo
XAI
120
233
0
25 Feb 2021
Towards interpreting ML-based automated malware detection models: a
  survey
Towards interpreting ML-based automated malware detection models: a survey
Yuzhou Lin
Xiaolin Chang
114
7
0
15 Jan 2021
Why model why? Assessing the strengths and limitations of LIME
Why model why? Assessing the strengths and limitations of LIME
Jurgen Dieber
S. Kirrane
FAtt
89
102
0
30 Nov 2020
Is there a role for statistics in artificial intelligence?
Is there a role for statistics in artificial intelligence?
Sarah Friedrich
G. Antes
S. Behr
Harald Binder
W. Brannath
...
H. Leitgöb
Markus Pauly
A. Steland
A. Wilhelm
T. Friede
39
49
0
13 Sep 2020
Opportunities and Challenges in Explainable Artificial Intelligence
  (XAI): A Survey
Opportunities and Challenges in Explainable Artificial Intelligence (XAI): A Survey
Arun Das
P. Rad
XAI
179
607
0
16 Jun 2020
Interpreting Machine Learning Malware Detectors Which Leverage N-gram
  Analysis
Interpreting Machine Learning Malware Detectors Which Leverage N-gram Analysis
William Briguglio
Sherif Saad
AAML
15
3
0
27 Jan 2020
A Decision-Theoretic Approach for Model Interpretability in Bayesian
  Framework
A Decision-Theoretic Approach for Model Interpretability in Bayesian Framework
Homayun Afrabandpey
Tomi Peltola
Juho Piironen
Aki Vehtari
Samuel Kaski
70
3
0
21 Oct 2019
AI for Explaining Decisions in Multi-Agent Environments
AI for Explaining Decisions in Multi-Agent Environments
Sarit Kraus
A. Azaria
J. Fiosina
Maike Greve
Noam Hazon
L. Kolbe
Tim-Benjamin Lembcke
J. P. Müller
Sören Schleibaum
M. Vollrath
66
40
0
10 Oct 2019
Projective Inference in High-dimensional Problems: Prediction and
  Feature Selection
Projective Inference in High-dimensional Problems: Prediction and Feature Selection
Juho Piironen
Markus Paasiniemi
Aki Vehtari
74
96
0
04 Oct 2018
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