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Visual Knowledge Discovery with General Line Coordinates

Visual Knowledge Discovery with General Line Coordinates

28 May 2023
Lincoln Huber
Boris Kovalerchuk
Charles Recaido
ArXiv (abs)PDFHTML

Papers citing "Visual Knowledge Discovery with General Line Coordinates"

7 / 7 papers shown
Title
Interpretable Machine Learning for Self-Service High-Risk
  Decision-Making
Interpretable Machine Learning for Self-Service High-Risk Decision-Making
Charles Recaido
Boris Kovalerchuk
25
4
0
09 May 2022
Self-service Data Classification Using Interactive Visualization and
  Interpretable Machine Learning
Self-service Data Classification Using Interactive Visualization and Interpretable Machine Learning
S. Wagle
Boris Kovalerchuk
34
6
0
11 Jul 2021
Discovering Interpretable Machine Learning Models in Parallel
  Coordinates
Discovering Interpretable Machine Learning Models in Parallel Coordinates
Boris Kovalerchuk
Dustin Hayes
31
11
0
14 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
AI4TSAI4CE
100
405
0
19 Oct 2020
Causal Interpretability for Machine Learning -- Problems, Methods and
  Evaluation
Causal Interpretability for Machine Learning -- Problems, Methods and Evaluation
Raha Moraffah
Mansooreh Karami
Ruocheng Guo
A. Raglin
Huan Liu
CMLELMXAI
86
220
0
09 Mar 2020
Local Rule-Based Explanations of Black Box Decision Systems
Local Rule-Based Explanations of Black Box Decision Systems
Riccardo Guidotti
A. Monreale
Salvatore Ruggieri
D. Pedreschi
Franco Turini
F. Giannotti
141
438
0
28 May 2018
"Why Should I Trust You?": Explaining the Predictions of Any Classifier
"Why Should I Trust You?": Explaining the Predictions of Any Classifier
Marco Tulio Ribeiro
Sameer Singh
Carlos Guestrin
FAttFaML
1.2K
17,071
0
16 Feb 2016
1