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Ravdeep Pasricha

6 papers hereh-index 6114 citations11 works total

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

author position
  • first author2
  • middle author4

Across the 6 of 6 papers where every author was matched, so the position is known.

fields
  • cs.LG3
  • cs.IR2
  • stat.ML1

identity via Semantic Scholar / OpenAlex

activity
20172024
most citedA case study of Generative AI in MSX Sales Copilot: Improving seller productivity with a real-time question-answering system for content recommendation

2 citations · 5 across the 4 of their papers we have counts for

collaborators
Showing 2018Show all

2 papers · 1 filter

cs.LG2018

OCTen: Online Compression-based Tensor Decomposition

Ekta Gujral, Ravdeep Pasricha, Tianxiong Yang +1

Tensor decompositions are powerful tools for large data analytics as they jointly model multiple aspects of data into one framework and enable the discovery of the latent structure…

cs.LG2018★ 1 cited

Identifying and Alleviating Concept Drift in Streaming Tensor Decomposition

Ravdeep Pasricha, Ekta Gujral, Evangelos E. Papalexakis

Tensor decompositions are used in various data mining applications from social network to medical applications and are extremely useful in discovering latent structures or concepts…

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