(57) ABSTRACT A method for automatically training and applying automatic segmentation in
digital image processing is provided. The method may include, in response to receiving a …

The following detailed description discloses numerous example embodiments. The scope of
the present patent application is not limited to the disclosed embodiments, but also …

Embodiments described herein are directed to generating a machine learning (ML) model. A
plurality of vectors are accessed, each vector of the plurality of vectors including a first set of …

A machine-learning classification system includes a first machine-learning classifier that
classifies each element of a plurality of data items to generate a plurality of classified data …

Methods, computer program products, and systems are presented. The method, computer
program products, and systems can include, for instance: examining an enterprise dataset …

Embodiments are disclosed for a method for machine learn ing model training outliers. The
method includes determin ing multiple metric values for corresponding transactions …

A machine learning (ML) model retraining pipeline for robotic process automation (RPA) is
disclosed. When an ML model is deployed in a production or development environment …

2023-08-01 Assigned to SAMSUNG ELECTRONICS CO., LTD. reassignment SAMSUNG
ELECTRONICS CO., LTD. ASSIGNMENT OF ASSIGNORS INTEREST (SEE DOCUMENT …

The present disclosure relates to systems and methods for carrying out predictive analysis
where a plurality of data sets may be ingested from a data lake. A data analyzer may tag the …

Methods and systems for training a model labeling two or more organic structures within an
image. One method includes receiving a set of training images. The set of training images …