Sentence examples for automatically classified as from inspiring English sources

The phrase "automatically classified as" is correct and usable in written English.
It can be used when describing a process or system that categorizes something without manual intervention.
Example: "The software automatically classified the emails as spam based on their content and sender information."
Alternatives: "instantly categorized as" or "systematically identified as".

Exact(35)

My analysis suggests that emails concerning the Clinton Foundation were automatically classified as "personal". "Inner sanctum" emails exchanged among clintonmail.com users were likely classified as "personal" as well.

All members of the infrastructure, whether in uniform or not, are automatically classified as C.D.'s.

Each of the algorithm's networks predicts a representation is automatically classified as one of the four actions — in this case, a hug, handshake, high-five, or kiss.

It would mean that fewer families would get in touch with official channels to ask for help, and that those who could still return won't because they are automatically classified as terrorists".

Individual chases were automatically classified as successful (ending in kill) if the animal remained for at least 5 min within a 50-m radius of the end of the chase.

This latest research, published in Thorax, has triggered calls for films that feature smoking to be automatically classified as 18 and to be regarded as dangerous as illicit drugs and violence.

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Similar(25)

Google's new algorithm changes automatically classified Google Places as spam, say sources inside Google, and for a few hours most Google Places results were inadvertently stripped from Google search results.

Casama׳s support vector machine (SVM) automatically classified the abstracts by study objective with as much as 129% higher F-scores compared to PubMed׳s built-in filters.

The electrocardiographic wave complexes (QRS) were automatically classified and manually verified as normal sinus rhythm, arterial or ventricular premature beats, or noise by comparison of the adjacent QRS morphologic features.

Therefore, the paper selects hashtag in the tweets as the tag which are automatically classified by using a machine method.

As Fig. 6 shows, patients were automatically classified into three age groups: (i) ≤36, (ii) 37 and 38, and (iii) ≥39 years old due to age data distribution.

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