However, to understand better reasons for non-compliance, CIG-based DSS such as NewGUIDE include user interfaces (called Reasoning on Medical Actions –RoMA) for justifying non-compliance [88]. 4.7.1.2 Process mining methods Process mining methods analyze process logs to discover the actual process...
Deep learning has revolutionized the field of artificial intelligence. Based on the statistical correlations uncovered by deep learning-based methods, computer vision tasks, such as autonomous driving and robotics, are growing rapidly. Despite being the
The temporal judgement tasks are explicit, two-alternative forced-choice tasks that involve presenting cross-modal stimuli at randomly varied, predetermined delays ranging from objective simultaneity to large asynchronies. Participants are required to make a temporal judgement about these input pairs on ea...
17,18and have been linked to poorer independent-living skills (i.e., dressing, toileting, self-grooming, household tasks, and finances) across multiple age groups7,19. For example, manual motor skills were associated with poorer adaptive daily living skills both concurrently and five-to-nine-y...
In this study, the random forest regression method was used to predict the distribution of the remote sensing ecological index (RSEI) for each mining city. The inputs to the model include the raster data of the 10 drivers for each mining city in 2019 as the independent variables, and the ...
We set the experiments using different models to extract features and applied them to retrieval tasks to prove the performance of our method of feature extraction. Table 6 shows that as our model is not trained on a dataset such as ImageNet, the results shown in Table 6 indicate that the ...
Now, I’m not a programmer, but Ihavespent my entire working life writing code to do stuff: systems management tasks, mostly, with the languages you would expect: perl, bash, and so on. I like my job, and what I’m doing – bossing computers around is fun- but I have a small, ...
Importantly, sensitivity and familiarity/lexicality effects can be detected even with tasks during which the stimuli are processed implicitly (Shtyrov, Goryainova, Tugin, Ossadtchi, & Shestakova, 2013). Moreover, the typical development of reading coincides with a shift of neural responses to ...
The objective of NER is to identify entities with particular meanings within a given text. These entities may include names of individuals, locations, organizations, and other entities with particular meanings, such as dates, times, currencies and so forth [5]. Currently, NER tasks are divided ...