… Using human activity recognition as a case study, over our collected CMActivity dataset,
we observe that RecycleML reduces the amount of required labeled data by at least 90% and …

… We leverage a multi-device dataset captured across smartphones to train a classifier for
human … 1) Dataset: We use the CMActivities dataset [39] containing video, audio, and IMU …

… , a software framework for generating SQA datasets using labeled source sensory data, and
… Using human activity recognition as a case study, over our collected CMActivity dataset, we …

… enables the four traditional CM activities identified above and … expected to install the
database themselves using another … installation, including the Git and GitHub plugins, is used to …

… Irrespective of the size of the company, they are required to perform CM activities. Hence CM
has … configuration management program and database to see what is currently installed. [7] …

… It is trained using a fraction of the CMActivities dataset [16], comprising inertial, and audio …
We compute the prediction accuracy of the algorithm on the remaining dataset and simulate …

… a) Automated Processes: Figure 2 shows our ML certification testing approach, covering
key datasets and model checks for automated testing. Our ML certification approach includes …

… proposal, for which a database model was formulated based … process produces a plan for
CM activities during the lifecycle of … “You can go through Git history to see that ‘this change was …

… of physical reality in digital artifacts (eg, a database), we contend that a key function of CM
in an … characterizations of digital agents (eg, algorithms) that are involved in CM activities. …

… We use the CMActivities dataset [SX19] containing video, audio, and IMU modalities collected
using two smartphones from users performing activities. We refer to the user performing …