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      • Artathon 2019
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    • DS-ART POPUP – Data Science for Society
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Read more about the article Using Less communication to approximate mathematical properties over large, noncentralized data

Using Less communication to approximate mathematical properties over large, noncentralized data

  • Post author:maltman
  • Post published:October 2, 2023
  • Post category:2023/Algorithms/Computer Science/Data Mining/PhD/Processing/Research Blog
  • Post comments:0 Comments

Amit Shahar, Daniel Keren

Continue ReadingUsing Less communication to approximate mathematical properties over large, noncentralized data
Read more about the article Completing the picture in 3D

Completing the picture in 3D

  • Post author:maltman
  • Post published:October 1, 2023
  • Post category:2023/Computer Science/Machine Learning/PhD/Processing/Research Blog
  • Post comments:0 Comments

Azmi Haider, Dan Rosenbaum

Continue ReadingCompleting the picture in 3D
Read more about the article Can we automatically determine the proficiency of Hebrew second language learners

Can we automatically determine the proficiency of Hebrew second language learners

  • Post author:maltman
  • Post published:March 20, 2023
  • Post category:2022/Artificial Intelligence/Database Collection/Digital Humanities/Natural Language Processing/Processing/Research Blog
  • Post comments:0 Comments

Anat Prior, Shuly Wintner

Continue ReadingCan we automatically determine the proficiency of Hebrew second language learners
Read more about the article Fair or Biased? Users’ Fairness Perception of Algorithmic Systems

Fair or Biased? Users’ Fairness Perception of Algorithmic Systems

  • Post author:Kuflik T., Kliger D., Rabinovich-Einy O., Mentoviz A., Shulner Tal A.
  • Post published:December 28, 2020
  • Post category:2020/Algorithms/Database Collection/Deep Learning/Machine Learning/Neural Networks/Processing
  • Post comments:0 Comments

Tsvi Kuflik, Doron Kliger, Orna Rabinovich-Einy, Avital Mentoviz, Avital Shulner Tal

Continue ReadingFair or Biased? Users’ Fairness Perception of Algorithmic Systems

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  • Using Less communication to approximate mathematical properties over large, noncentralized data
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