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LoRMIkA: Local rule-based model interpretability with k-optimal
  associations
v1v2 (latest)

LoRMIkA: Local rule-based model interpretability with k-optimal associations

Information Sciences (Inf. Sci.), 2019
11 August 2019
Dilini Sewwandi Rajapaksha
Christoph Bergmeir
Wray Buntine
ArXiv (abs)PDFHTML

Papers citing "LoRMIkA: Local rule-based model interpretability with k-optimal associations"

11 / 11 papers shown
Introducing User Feedback-based Counterfactual Explanations (UFCE)
Introducing User Feedback-based Counterfactual Explanations (UFCE)
M. Nizami
J. Alonso-Moral
Alessandro Bogliolo
CML
216
5
0
26 Feb 2024
The Energy Prediction Smart-Meter Dataset: Analysis of Previous
  Competitions and Beyond
The Energy Prediction Smart-Meter Dataset: Analysis of Previous Competitions and Beyond
Direnc Pekaslan
J. Alonso-Moral
Kasun Bandara
Christoph Bergmeir
Juan Bernabé-Moreno
...
Heda Song
Christian Wagner
Wenlong Wu
Luis Magdalena
I. Triguero
228
1
0
07 Nov 2023
The Shape of Explanations: A Topological Account of Rule-Based
  Explanations in Machine Learning
The Shape of Explanations: A Topological Account of Rule-Based Explanations in Machine Learning
Brett Mullins
FAtt
208
1
0
22 Jan 2023
Efficient Learning of Interpretable Classification Rules
Efficient Learning of Interpretable Classification RulesJournal of Artificial Intelligence Research (JAIR), 2022
Bishwamittra Ghosh
Dmitry Malioutov
Kuldeep S. Meel
238
12
0
14 May 2022
LIMREF: Local Interpretable Model Agnostic Rule-based Explanations for
  Forecasting, with an Application to Electricity Smart Meter Data
LIMREF: Local Interpretable Model Agnostic Rule-based Explanations for Forecasting, with an Application to Electricity Smart Meter DataAAAI Conference on Artificial Intelligence (AAAI), 2022
Dilini Sewwandi Rajapaksha
Christoph Bergmeir
AI4TS
200
19
0
15 Feb 2022
Visual Exploration of Machine Learning Model Behavior with Hierarchical
  Surrogate Rule Sets
Visual Exploration of Machine Learning Model Behavior with Hierarchical Surrogate Rule SetsIEEE Transactions on Visualization and Computer Graphics (TVCG), 2022
Jun Yuan
Brian Barr
Kyle Overton
E. Bertini
164
13
0
19 Jan 2022
LoMEF: A Framework to Produce Local Explanations for Global Model Time
  Series Forecasts
LoMEF: A Framework to Produce Local Explanations for Global Model Time Series ForecastsInternational Journal of Forecasting (IJF), 2021
Dilini Sewwandi Rajapaksha
Christoph Bergmeir
Rob J. Hyndman
FAttAI4TS
233
15
0
13 Nov 2021
Beyond Average Performance -- exploring regions of deviating performance
  for black box classification models
Beyond Average Performance -- exploring regions of deviating performance for black box classification models
Luís Torgo
Paulo Azevedo
Inês Areosa
187
2
0
16 Sep 2021
On Locality of Local Explanation Models
On Locality of Local Explanation Models
Sahra Ghalebikesabi
Lucile Ter-Minassian
Karla Diaz-Ordaz
Chris Holmes
FedMLFAtt
197
46
0
24 Jun 2021
SQAPlanner: Generating Data-Informed Software Quality Improvement Plans
SQAPlanner: Generating Data-Informed Software Quality Improvement PlansIEEE Transactions on Software Engineering (TSE), 2021
Dilini Sewwandi Rajapaksha
Chakkrit Tantithamthavorn
Jirayus Jiarpakdee
Christoph Bergmeir
J. Grundy
Wray Buntine
245
42
0
19 Feb 2021
Explainable AI for Software Engineering
Explainable AI for Software EngineeringInternational Conference on Automated Software Engineering (ASE), 2020
Chakkrit Tantithamthavorn
Jirayus Jiarpakdee
J. Grundy
271
76
0
03 Dec 2020
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