Skip to content
VuFind
  • Login
    • English
    • Deutsch
    • Español
    • Français
    • Italiano
Advanced
  • Cite this
  • Text this
  • Email this
  • Print
  • Export Record
    • Export to RefWorks
    • Export to EndNoteWeb
    • Export to EndNote
  • Save to List
  • Permanent link
Cover Image

Saved in:
Bibliographic Details
Main Authors: Lakkaraju, Kausik, Kaur, Rachneet, Zeng, Zhen, Zehtabi, Parisa, Patra, Sunandita, Srivastava, Biplav, Valtorta, Marco
Format: Preprint
Published: 2024
Subjects:
Machine Learning
Artificial Intelligence
Methodology
Online Access:https://arxiv.org/abs/2406.12908
Tags: Add Tag
No Tags, Be the first to tag this record!
  • Holdings
  • Description
  • Table of Contents
  • Comments
  • Similar Items
  • Staff View

Internet

https://arxiv.org/abs/2406.12908

Similar Items

  • Creating a Causally Grounded Rating Method for Assessing the Robustness of AI Models for Time-Series Forecasting
    by: Lakkaraju, Kausik, et al.
    Published: (2025)
  • The Effect of Human v/s Synthetic Test Data and Round-tripping on Assessment of Sentiment Analysis Systems for Bias
    by: Lakkaraju, Kausik, et al.
    Published: (2024)
  • On Identifying Why and When Foundation Models Perform Well on Time-Series Forecasting Using Automated Explanations and Rating
    by: Widener, Michael, et al.
    Published: (2025)
  • LETS-C: Leveraging Text Embedding for Time Series Classification
    by: Kaur, Rachneet, et al.
    Published: (2024)
  • Holistic Explainable AI (H-XAI): Extending Transparency Beyond Developers in AI-Driven Decision Making
    by: Lakkaraju, Kausik, et al.
    Published: (2025)

Search Options

  • Search History
  • Advanced Search

Find More

  • Browse the Catalog
  • Browse Alphabetically
  • Explore Channels
  • Course Reserves
  • New Items

Need Help?

  • Search Tips
  • Ask a Librarian
  • FAQs