Knowledge distillation in neural networks refers to compressing a large ...
Dynamic random access memory failures are a threat to the reliability of...
Human anatomy, morphology, and associated diseases can be studied using
...
Artificial Intelligence for IT Operations (AIOps) describes the process ...
The reliability of cloud platforms is of significant relevance because
s...
In the current IT world, developers write code while system operators ru...
Domain Adaptation (DA) has recently raised strong interests in the medic...
We describe Countersynth, a conditional generative model of diffeomorphi...
Server virtualization in the form of virtual machines (VMs) with the use...
A memory leak in an application deployed on the cloud can affect the
ava...
A memory leak in an application deployed on the cloud can affect the
ava...
Context: Profiling developers is challenging since many factors, such as...
Artificial Intelligence for IT Operations (AIOps) is an emerging
interdi...
IT systems of today are becoming larger and more complex, rendering thei...
Context : Software comprehension and maintenance activities, such as
ref...
The detection of anomalies is essential mining task for the security and...
Context:Software Development Analytics is a research area concerned with...
Logs are extensively used during the development and maintenance of soft...
In the absence of sufficient data variation (e.g., scanner and protocol
...
For proper generalization performance of convolutional neural networks (...