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Patricia Selinger

Known as: Pat Selinger, Patricia G. Selinger, Selinger 
Patricia G. Selinger is an American computer scientist and IBM Fellow, best known for her work on relational database management systems. She played… Expand
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ACM Software System AwardCommunications of the ACMComputer scientistDynamic programming
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Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2010
Highly Cited
2010
The Compositional Structure of Multipartite Quantum Entanglement
Multipartite quantum states constitute a (if not the) key resource for quantum computations and protocols. However obtaining a… Expand
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Highly Cited
2008
Highly Cited
2008
The mangle in practice : science, society, and becoming
In The Mangle of Practice (1995), the renowned sociologist of science Andrew Pickering argued for a reconceptualization of… Expand
Highly Cited
2006
Highly Cited
2006
Chasing Technoscience: Matrix for Materiality
Introduction Part One Don Ihde 1. Interview with Bruno Latour - Robert Crease, Don Ihde, Casper Bruun Jensen, and Evan Selinger 2… Expand
Highly Cited
2005
Highly Cited
2005
Towards a framework for the use of ICT in teacher training in Africa
There is a gulf between the rhetoric of those advocating the use of ICT in education in Africa and the reality of classroom… Expand
Highly Cited
2005
Highly Cited
2005
Call-by-Value Is Dual to Call-by-Name - Reloaded
We consider the relation of the dual calculus of Wadler(2003) to the λμ-calculus of Parigot (1992). We give translations from the… Expand
2004
2004
A Combined Framework for Grouping and Order Optimization
Since the introduction of cost-based query optimization by Selinger et al. in their seminal paper, the performance-critical role… Expand
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Highly Cited
2004
Highly Cited
2004
Linear Logic in Computer Science: Between Logic and Quantic: a Tract
We present a quantum interpretation of the perfect part of linear logic, by means of quantum coherent spaces. In particular this… Expand
Highly Cited
2002
Highly Cited
2002
Urban Surveillance and Panopticism: will we recognize the facial recognition society?
This paper explores the implementation of facial recognition surveillance mechanisms as a reaction to perceptions of insecurity… Expand
Highly Cited
2001
Highly Cited
2001
LEO - DB2's LEarning Optimizer
Most modern DBMS optimizers rely upon a cost model to choose the best query execution plan (QEP) for any given query. Cost… Expand
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Highly Cited
2000
Highly Cited
2000
Iterative dynamic programming: a new class of query optimization algorithms
The query optimizer is one of the most important components of a database system. Most commercial query optimizers today are… Expand
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