Publications

This is our catalog of recent publications authored by IBM researchers, in collaboration with the global research community. We’re currently adding our back catalog of more than 110,000 publications. 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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Year

10 results for Samuel (Sam) Ackerman

Reliable and Interpretable Drift Detection in Streams of Short Texts
- - Ella Rabinovich
  - Matan Vetzler
  - et al.
- 2023
- ACL 2023
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
Machine Learning Model Drift Detection Via Weak Data Slices
- - Samuel Ackerman
  - Parijat Dube
  - et al.
- 2021
- ICSE 2021
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
Measuring the Measuring Tools: An Automatic Evaluation of Semantic Metrics for Text Corpora
- - George Kour
  - Samuel Ackerman
  - et al.
- 2022
- EMNLP 2022
Deploying Automatic Ticket Router Across the Enterprise
- - Samuel Ackerman
  - Lincoln Alexander
  - et al.
- 2023
- AI Magazine
High-quality conversational systems
- - Samuel Ackerman
  - Ateret Anaby-Tavor
  - et al.
- 2022
- arXiv