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US Patent 10223586 Multi-modal electronic document classification

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Patent
Patent
0

Patent attributes

Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
0
Patent Number
102235860
Patent Inventor Names
Adam Bali0
Guy Leibovitz0
Date of Patent
March 5, 2019
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Patent Application Number
160371940
Date Filed
July 17, 2018
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Patent Citations Received
0
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US Patent 11567630 Calibration of a machine learning confidence score
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US Patent 11049204 Visual and text pattern matching
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US Patent 11354018 Visualization of a machine learning confidence score
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US Patent 11915123 Fusing multimodal data using recurrent neural networks
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US Patent 11995048 Lifelong schema matching
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US Patent 11514318 Multi-source transfer learning from pre-trained networks
Patent Primary Examiner
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Sean M Conner
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Patent abstract

A method comprising operating at least one hardware processor for: receiving, as input, a plurality of electronic documents, training a machine learning classifier based, at least on part, on a training set comprising: (i) labels associated with the electronic documents, (ii) raw text from each of said plurality of electronic documents, and (iii) a rasterized version of each of said plurality of electronic documents, and applying said machine learning classifier to classify one or more new electronic documents.

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