Abstract: A computer-implemented method, system, and non-transitory, computer-readable medium that performs operations including obtaining alerts representing signals in a computing system and corresponding feedback indicators, indicating an association of the alert for the represented signal. The computing system can connect to a computing platform that includes a data mining engine. The operations include identifying a first subset of negative alerts, determining a first set of alert attributes, determining a type of model to analyze the alert attributes for signals represented by the alerts and analyzing, by the model, the first set of alert attributes to identify a subset of alert attributes with likelihoods representing alert attributes that caused the negative association of the alert. The operations include filtering the alerts to exclude a second subset of the alerts based on the likelihood of negative association, and providing for output, a set of alerts that exclude the second subset of the alerts.

Abstract: There is provided methods and systems for generating super resolution images of objects. In particular there is provided a method of generating a super resolution image of an object, the method comprising: receiving a plurality of frames of a video of the object; extracting from the plurality of frames a plurality of images of the object; selecting an image of the plurality of images as a target image; applying a trained model to the plurality of images to generate a super resolution image of the object, wherein the trained model comprises: (a) a correspondence estimation neural network configured to compute a respective optical flow between the target image and each other image of the plurality, and (b) a reconstruction neural network configured to generate a super resolution version of the target image using the plurality of images and the respective optical flows between the target image and each other image of the plurality.

Abstract: A computer-implemented method, system, and non-transitory, computer-readable medium that performs operations including obtaining alerts representing signals in a computing system and corresponding feedback indicators, indicating an association of the alert for the represented signal. The computing system can connect to a computing platform that includes a data mining engine. The operations include identifying a first subset of negative alerts, determining a first set of alert attributes, determining a type of model to analyze the alert attributes for signals represented by the alerts and analyzing, by the model, the first set of alert attributes to identify a subset of alert attributes with likelihoods representing alert attributes that caused the negative association of the alert. The operations include filtering the alerts to exclude a second subset of the alerts based on the likelihood of negative association, and providing for output, a set of alerts that exclude the second subset of the alerts.