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researcher

Marcel Zalmanovici

5 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author3
  • last author2

Across the 5 of 5 papers where every author was matched, so the position is known.

fields
  • cs.LG3
  • cs.CL1
  • cs.HC1
same name
  • Marcel Zalmanovici — 2 papers

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20212024
most citedFreaAI: Automated extraction of data slices to test machine learning models

26 citations · 27 across the 5 of their papers we have counts for

collaborators

4 papers

cs.HC2022★ 1 cited

High-quality Conversational Systems

Samuel Ackerman, Ateret Anaby-Tavor, Eitan Farchi +7

Conversational systems or chatbots are an example of AI-Infused Applications (AIIA). Chatbots are especially important as they are often the first interaction of clients with a bus…

cs.LG2021

Density-based interpretable hypercube region partitioning for mixed numeric and categorical data

Samuel Ackerman, Eitan Farchi, Orna Raz +2

Consider a structured dataset of features, such as {SEX,INCOME,RACE,EXPERIENCE}. A user may want to know where in the feature space obser…

cs.LG2021★ 26 cited

FreaAI: Automated extraction of data slices to test machine learning models

Samuel Ackerman, Orna Raz, Marcel Zalmanovici

Machine learning (ML) solutions are prevalent. However, many challenges exist in making these solutions business-grade. One major challenge is to ensure that the ML solution provid…

cs.LG2021

Machine Learning Model Drift Detection Via Weak Data Slices

Samuel Ackerman, Parijat Dube, Eitan Farchi +2

Detecting drift in performance of Machine Learning (ML) models is an acknowledged challenge. For ML models to become an integral part of business applications it is essential to de…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.