Sentence examples for in comparison with classification from inspiring English sources

A detailed evaluation shows the benefits of our workflow, which includes hand-tailored features; even in comparison with classification approaches based on Convolutional Neural Networks, which are state of the art in computer vision, we could obtain a comparable or superior performance (F1 score of 0.96 0.94).

The results demonstrate that the proposed classifier works well in comparison with other classification methods.

We refined the system after initial testing, addressing improvement opportunities identified in the study testing the original version of Codac in comparison with different classification systems[ 7] with scoring based on how easily the right category was found, and how well existing information was retained after classification.

We affirm that SLICC-12 has advantages with regard to diagnostic sensitivity in comparison with other classification grounds on the basis of our study of (1) patients in our regional register with confirmed and well-characterized SLE and (2) autoantibody-positive patients who had been referred to rheumatology specialists on the basis of a fair suspicion of systemic autoimmune disease.

As a representative application domain, interpretation of the electrocardiogram allows us to highlight the strengths of the proposed approach in comparison with traditional classification-based approaches.

We further evaluated this screening system on a blind test set in comparison with the classifications with serum CA-125 levels.

Simulations demonstrate that the proposed method can provide sufficiently high classification rate in comparison with other fuzzy classification models.

In the first phase we treated model identification as a classification problem to study the performances of proposed methods in comparison with the other classification algorithms.

In comparison with similar pattern classification methods that considered the same database, the proposed CNN proved to achieve the same or even better correct classification results without pre-treating the EEG raw signal.

Accuracy based on ROIs from both meta-analyses using only GM information was substantially lower for differentiation between AD and FTLD patients in comparison with whole-brain classification.

Random forests method has been proved to perform well in comparison with the other classification methods and successfully applied to various problems.