The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Aug. 15, 2023

Filed:

Jan. 30, 2020
Applicant:

International Business Machines Corporation, Armonk, NY (US);

Inventors:

Skyler Speakman, Nairobi, KE;

Celia Cintas, Nairobi, KE;

Victor Abayomi Akinwande, Nairobi, KE;

Srihari Sridharan, Nairobi, KE;

Komminist Weldemariam, Ottawa, CA;

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06F 21/52 (2013.01); G06T 19/00 (2011.01); G06N 3/047 (2023.01); G06N 3/02 (2006.01); G06N 3/088 (2023.01); G06N 20/00 (2019.01); G06F 18/23 (2023.01); G06F 18/2411 (2023.01); G06V 10/764 (2022.01); G06V 10/776 (2022.01); G06V 10/82 (2022.01);
U.S. Cl.
CPC ...
G06F 21/52 (2013.01); G06F 18/23 (2023.01); G06F 18/2411 (2023.01); G06N 3/047 (2023.01); G06N 3/088 (2013.01); G06N 20/00 (2019.01); G06T 19/006 (2013.01); G06V 10/764 (2022.01); G06V 10/776 (2022.01); G06V 10/82 (2022.01); G06N 3/02 (2013.01);
Abstract

An illustrative embodiment includes a method for detecting whether a given item within input data is anomalous. The method includes: extracting activations at respective nodes of an autoencoder trained on the data, the activations comprising activations at the respective nodes for the given item within the data and for one or more other items within the data; calculating p-values corresponding to the respective nodes, wherein the p-value for a given node represents a proportion of the activations at the given node for the other items which are greater than the activations at the given node for the given item; determining at least one score at least in part by scanning for a subset of the respective nodes which maximizes a statistical scoring function applied to the corresponding p-values; and providing a visualization of at least the given item within the input data to a human user.


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