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pro vyhledávání: '"KARGAR, MEHDI"'
Autor:
Rorseth, Joel, Godfrey, Parke, Golab, Lukasz, Kargar, Mehdi, Srivastava, Divesh, Szlichta, Jaroslaw
Towards better explainability in the field of information retrieval, we present CREDENCE, an interactive tool capable of generating counterfactual explanations for document rankers. Embracing the unique properties of the ranking problem, we present c
Externí odkaz:
http://arxiv.org/abs/2302.04983
Autor:
Kargar, Mehdi
This dissertation introduces assembly of spherical particles as a novel topography-based anti-biofouling coating. It also provides new insights on the effects of surface topography, especially local curvature, on cell–surface and cell–cell intera
Externí odkaz:
http://hdl.handle.net/10919/71741
Autor:
Karegar, Reza, Godfrey, Parke, Golab, Lukasz, Kargar, Mehdi, Srivastava, Divesh, Szlichta, Jaroslaw
Order dependencies (ODs) capture relationships between ordered domains of attributes. Approximate ODs (AODs) capture such relationships even when there exist exceptions in the data. During automated discovery of ODs, validation is the process of veri
Externí odkaz:
http://arxiv.org/abs/2101.02174
Autor:
Karegar, Reza, Mirsafian, Melicaalsadat, Godfrey, Parke, Golab, Lukasz, Kargar, Mehdi, Srivastava, Divesh, Szlichta, Jaroslaw
Much real-world data come with explicitly defined domain orders; e.g., lexicographic order for strings, numeric for integers, and chronological for time. Our goal is to discover implicit domain orders that we do not already know; for instance, that t
Externí odkaz:
http://arxiv.org/abs/2005.14068
A number of extensions to the classical notion of functional dependencies have been proposed to express and enforce application semantics. One of these extensions is that of order dependencies (ODs), which express rules involving order. The article e
Externí odkaz:
http://arxiv.org/abs/1905.02010
Akademický článek
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Autor:
Kargar, Mehdi, Lin, Zhibin
Publikováno v:
In Expert Systems With Applications 15 October 2021 180
Publikováno v:
In Journal of Cleaner Production 1 October 2021 317
Publikováno v:
In Journal of Business Research October 2021 135:112-126
Given a social network of experts, we address the problem of discovering a team of experts that collectively holds a set of skills required to complete a given project. Most prior work ranks possible solutions by communication cost, represented by ed
Externí odkaz:
http://arxiv.org/abs/1611.02992