ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2206.04784
  4. Cited By
On the Bias-Variance Characteristics of LIME and SHAP in High Sparsity
  Movie Recommendation Explanation Tasks

On the Bias-Variance Characteristics of LIME and SHAP in High Sparsity Movie Recommendation Explanation Tasks

9 June 2022
Claudia V. Roberts
Ehtsham Elahi
Ashok Chandrashekar
    FAtt
ArXivPDFHTML

Papers citing "On the Bias-Variance Characteristics of LIME and SHAP in High Sparsity Movie Recommendation Explanation Tasks"

3 / 3 papers shown
Title
TrustyAI Explainability Toolkit
TrustyAI Explainability Toolkit
Rob Geada
Tommaso Teofili
Rui Vieira
Rebecca Whitworth
Daniele Zonca
16
2
0
26 Apr 2021
How can I choose an explainer? An Application-grounded Evaluation of
  Post-hoc Explanations
How can I choose an explainer? An Application-grounded Evaluation of Post-hoc Explanations
Sérgio Jesus
Catarina Belém
Vladimir Balayan
João Bento
Pedro Saleiro
P. Bizarro
João Gama
136
120
0
21 Jan 2021
Towards A Rigorous Science of Interpretable Machine Learning
Towards A Rigorous Science of Interpretable Machine Learning
Finale Doshi-Velez
Been Kim
XAI
FaML
257
3,690
0
28 Feb 2017
1