Elad Tsur

Elad Tsur

United States
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Tel Aviv University

About

Entrepreneur, founder of Planck, an AI based data platform for commercial insurance which…

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Activity

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Experience

Education

  • Tel Aviv University

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    Dean's list 2008
    Thesis: Multi Dimensional HMM Using Statistical Relief, Prof. Nathan Intrator
    Co-researcher with Prof. Amir Averbuch on Compressed Sensing, and Function expansion using Kriging and Nyström

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    Dean's list 2005
    Specializing in Image processing and Machine Learning

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    Graduate cum laude
    Specializing in Image processing, Computational Geometry and Statistical Learning

Patents

  • Inter-entity connection maps

    Issued US 20150120783 A1

    The technology disclosed relates to identifying connection maps between entities (persons and organizations) and generating so-called connection stories between them based on the connection maps. The connection stories are graphic and visual representations of the connection paths that present to entities topological and chronological aspects of their relationships with other entities.

    Other inventors
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  • Systems and Methods of De-Duplicating Similar News Feed Items

    Issued US 20160103916

    The technology disclosed relates to de-duplicating contextually similar news feed items. In particular, it relates to assembling a set of news feed items from a plurality of electronic sources and preprocessing the set to generate normalized news feed items that share common company-name mentions and token occurrences. The normalized news feed items are used to calculate one or more resemblance measures based on a sequence alignment score and/or a hyperlink score. The sequence alignment score…

    The technology disclosed relates to de-duplicating contextually similar news feed items. In particular, it relates to assembling a set of news feed items from a plurality of electronic sources and preprocessing the set to generate normalized news feed items that share common company-name mentions and token occurrences. The normalized news feed items are used to calculate one or more resemblance measures based on a sequence alignment score and/or a hyperlink score. The sequence alignment score determines contextual similarity between news feed item pairs, arranged as sequences, based on a number of matching elements in the news feed item sequences and a number of edit operations, such as insertion, deletion, and substitution, required to match the news feed item sequences. The hyperlink score determines contextual similarity between news feed item pairs by comparing the respective search results retrieved in response to supplying the news feed item pairs to a search engine.

    Other inventors
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Languages

  • Hebrew

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  • English

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