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Relative Feature Importance

Relative Feature Importance

16 July 2020
Gunnar Konig
Christoph Molnar
B. Bischl
Moritz Grosse-Wentrup
ArXivPDFHTML

Papers citing "Relative Feature Importance"

12 / 12 papers shown
Title
Disentangling Interactions and Dependencies in Feature Attribution
Disentangling Interactions and Dependencies in Feature Attribution
Gunnar König
Eric Günther
Ulrike von Luxburg
FAtt
55
1
0
31 Oct 2024
A Guide to Feature Importance Methods for Scientific Inference
A Guide to Feature Importance Methods for Scientific Inference
F. K. Ewald
Ludwig Bothmann
Marvin N. Wright
B. Bischl
Giuseppe Casalicchio
Gunnar Konig
32
10
0
19 Apr 2024
Interpretable Architecture Neural Networks for Function Visualization
Interpretable Architecture Neural Networks for Function Visualization
Shengtong Zhang
D. Apley
23
2
0
03 Mar 2023
iSAGE: An Incremental Version of SAGE for Online Explanation on Data
  Streams
iSAGE: An Incremental Version of SAGE for Online Explanation on Data Streams
Maximilian Muschalik
Fabian Fumagalli
Barbara Hammer
Eyke Hüllermeier
15
3
0
02 Mar 2023
Incremental Permutation Feature Importance (iPFI): Towards Online
  Explanations on Data Streams
Incremental Permutation Feature Importance (iPFI): Towards Online Explanations on Data Streams
Fabian Fumagalli
Maximilian Muschalik
Eyke Hüllermeier
Barbara Hammer
24
20
0
05 Sep 2022
Towards Daily High-resolution Inundation Observations using Deep
  Learning and EO
Towards Daily High-resolution Inundation Observations using Deep Learning and EO
A. Dasgupta
Lasse Hybbeneth
B. Waske
AI4CE
25
2
0
10 Aug 2022
Learning to Increase the Power of Conditional Randomization Tests
Learning to Increase the Power of Conditional Randomization Tests
Shalev Shaer
Yaniv Romano
CML
26
2
0
03 Jul 2022
Large Scale Diverse Combinatorial Optimization: ESPN Fantasy Football
  Player Trades
Large Scale Diverse Combinatorial Optimization: ESPN Fantasy Football Player Trades
Aaron Baughman
Daniel Bohm
Micah Forster
Eduardo Morales
J. Powell
...
Kavitha Yogaraj
Yoshika Chhabra
S. Ghosh
R. Haq
Arjun Kashyap
13
2
0
04 Nov 2021
Decomposition of Global Feature Importance into Direct and Associative
  Components (DEDACT)
Decomposition of Global Feature Importance into Direct and Associative Components (DEDACT)
Gunnar Konig
Timo Freiesleben
B. Bischl
Giuseppe Casalicchio
Moritz Grosse-Wentrup
FAtt
11
4
0
15 Jun 2021
Interpretable Machine Learning -- A Brief History, State-of-the-Art and
  Challenges
Interpretable Machine Learning -- A Brief History, State-of-the-Art and Challenges
Christoph Molnar
Giuseppe Casalicchio
B. Bischl
AI4TS
AI4CE
20
397
0
19 Oct 2020
General Pitfalls of Model-Agnostic Interpretation Methods for Machine
  Learning Models
General Pitfalls of Model-Agnostic Interpretation Methods for Machine Learning Models
Christoph Molnar
Gunnar Konig
J. Herbinger
Timo Freiesleben
Susanne Dandl
Christian A. Scholbeck
Giuseppe Casalicchio
Moritz Grosse-Wentrup
B. Bischl
FAtt
AI4CE
21
135
0
08 Jul 2020
Model-agnostic Feature Importance and Effects with Dependent Features --
  A Conditional Subgroup Approach
Model-agnostic Feature Importance and Effects with Dependent Features -- A Conditional Subgroup Approach
Christoph Molnar
Gunnar Konig
B. Bischl
Giuseppe Casalicchio
31
77
0
08 Jun 2020
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