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Babak Salimi

University of Washington

15 papers hereh-index 14872 citations44 works total

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

author position
  • first author7
  • middle author3
  • last author5

Across the 15 of 15 papers where every author was matched, so the position is known.

fields
  • cs.DB13
  • cs.AI1
  • cs.SI1
affiliations
  • University of Washington
Homepage
same name
  • Babak Salimi — 9 papers, h 7
  • Babak Salimi — 7 papers, h 2
  • Babak Salimi — 3 papers
  • Babak Salimi — 3 papers, h 2
  • Babak Salimi — 1 paper, h 1

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
20162023
most citedCausal Relational Learning

6 citations · 9 across the 7 of their papers we have counts for

collaborators
Showing 2016 · cs.DBShow all

4 papers · 2 filters

cs.DB2016

Causes for Query Answers from Databases: Datalog Abduction, View-Updates, and Integrity Constraints

Leopoldo Bertossi, Babak Salimi

Causality has been recently introduced in databases, to model, characterize, and possibly compute causes for query answers. Connections between QA-causality and consistency-based d…

cs.DB2016

ZaliQL: A SQL-Based Framework for Drawing Causal Inference from Big Data

Babak Salimi, Dan Suciu

Causal inference from observational data is a subject of active research and development in statistics and computer science. Many toolkits have been developed for this purpose that…

cs.DB2016

Quantifying Causal Effects on Query Answering in Databases

Babak Salimi, Leopoldo Bertossi, Dan Suciu +1

The notion of actual causation, as formalized by Halpern and Pearl, has been recently applied to relational databases, to characterize and compute actual causes for possibly unexpe…

cs.DB2016

Causes for Query Answers from Databases, Datalog Abduction and View-Updates: The Presence of Integrity Constraints

Babak Salimi, Leopoldo Bertossi

Causality has been recently introduced in databases, to model, characterize and possibly compute causes for query results (answers). Connections between queryanswer causality, cons…

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