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"tasks of interest" is correct and usable in written English.
You can use it as a phrase to refer to specific tasks that interest you or that you find interesting. For example, "I have a few tasks of interest that I would like to complete this week."
Exact(11)
This example shows that the feature extraction task can be tailored to address specific tasks of interest in nanoscience applications.
We furthermore demonstrate that all reasoning tasks of interest are NP-complete, which reveals that adding vagueness to temporal reasoning does not increase its computational complexity.
Ergonomists and bioengineers, faced with the dilemma of using either complex but more accurate models on one hand or less accurate but simple models on the other hand, have thereby easy-to-use predictive equations that quantifies spinal loads and risk of injury under different occupational tasks of interest.
Of course, just because observers can consistently make certain subjective judgments at a glance does not imply that they will be able to perform the tasks of interest in this paper.
In the parietal cortex a large swathe of bilateral activity was evident along the intraparietal sulcus (IPS); this was specific to the two tasks of interest – VSI and orientation discrimination.
The group of tasks of interest are: Time spent with patients.
Similar(49)
Forming the proper representation is crucial for successfully accomplishing the task of interest and is sometimes even synonymous with the solution.
In the first step, monkey subjects are trained on a cognitive task of interest while sitting vertically in a standard primate chair.
Over the past half-decade, computer vision researchers have found an extremely effective way of building visual recognition systems: pre-train a convolutional network on a massive labeled dataset such as ImageNet, and then fine-tune this convolutional network on the visual recognition task of interest using another massive labeled dataset.
We describe how VQ algorithms can be used for learning compact representations of the task of interest from available input output time series data and how this representation can be used to build local maps that approximates the global inverse model of the system.
This means a direct measure of performance on the task of interest, with the notion that decreased performance indicates high workload.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com