Publications

This is our catalog of publications authored by IBM researchers, in collaboration with the global research community. It’s an ever-growing body of work that shows why IBM is one of the most important contributors to modern computing.

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9 results for Orna Raz

Machine Learning Model Drift Detection Via Weak Data Slices
- - Samuel Ackerman
  - Parijat Dube
  - et al.
- 2021
- ICSE 2021
Classifier Data Quality: A Geometric Complexity Based Method for Automated Baseline And Insights Generation
- - George Kour
  - Marcel Zalmanovici
  - et al.
- 2022
- AAAI 2022
Detecting model drift using polynomial relations
- - Eliran Roffe
  - Samuel Ackerman
  - et al.
- 2022
- AAAI 2022
FreaAI: Automated extraction of data slices to test machine learning models
- - Samuel Ackerman
  - Orna Raz
  - et al.
- 2020
- AAAI 2020
Density-based interpretable hypercube region partitioning for mixed numeric and categorical data
- - Samuel Ackerman
  - Eitan Farchi
  - et al.
- 2021
- JSM 2021
Detection of data 'drift' over time affecting ML model performance
- - Samuel Ackerman
  - Orna Raz
  - et al.
- 2019
- ISA Annual Meeting 2019
Predicting Question-Answering Performance of Large Language Models through Semantic Consistency
- - Ella Rabinovich
  - Samuel Ackerman
  - et al.
- 2023
- EMNLP 2023
Measuring the Measuring Tools: An Automatic Evaluation of Semantic Metrics for Text Corpora
- - George Kour
  - Samuel Ackerman
  - et al.
- 2022
- EMNLP 2022
High-quality conversational systems
- - Samuel Ackerman
  - Ateret Anaby-Tavor
  - et al.
- 2022
- arXiv