Methods for classifying computer objects as malware and the associated apparatus are disclosed. An exemplary method includes, at a base computer, receiving data about a computer object from each of plural remote computers on which the object or similar objects are stored or processed wherein the ...
A computer-implemented method for classifying documents for data loss prevention may include 1) identifying training documents for a machine learning classifier configured for data loss prevention, 2) performing a semantic analysis on training documents to identify topics within the set training documents...
For segmentation of vessels, black top hat transform followed by Otsu thresholding was used and finally to find the displacement between the centroid of vessels each zone was calculated using chessboard metric which specifies a range for classifying retinal images as normal or abnormal. On comparison...
Criteria need to be applied for classifying subjects in terms of their prior computer experience. Although there are a number of ways of categorizing users, in our work on usability we have found that considering users along the following dimensions is often useful: (1) expertise of subjects in...
[105], but calculated embeddings of images from a self-supervised vision transformer trained on single-cell Cell Painting images [108]. This approach outperformed classic image featurization for classifying single CRISPR perturbations’ mechanism of action and recovering known biological relationships ...
Because census information is obtained by using a fixed questionnaire for interviewing, there are two broad types of resulting data:direct data, the answers to specific questions on the schedule; andderived data, the facts discovered by classifying and interrelating the answers to various questions....
Classifying motor tasks within the category of activities related to ambulation requires more advanced techniques. While in certain cases all the tasks could be accurately classified, in others merging clusters associated with different motor tasks was necessary. When merging clusters, it was found that...
They provide detailed insight into how well the model is performing in terms of classifying instances into true positives (TP), true negatives (TN), false positives (FP), and false negatives (FN). Let's analyze the results of the confusion matrices presented in the paper for the NSL-KDD,...
In one aspect, a method of classifying a computer object as malware includes receiving at a base computer data about a computer object from each of plural remote computers on which the object or similar objects are stored. The data about the computer object received from the plural computers ...
(See Charlson et al., A new method of classifying prognostic comorbidity in longitudinal studies: development and validation.J Chron Dis,40(5), 373-383 (1987)). The Charlson Index is considered a validated instrument used for risk adjustment in hospital-based outcomes and has been used in ...