Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
at the interface of signal and image processing, behavioural neuroscience and neurofeedback. Neurofeedback approaches (NF) (see [1] for a complete and actual introduction), also known as restorative brain-computer
-
a physician to indicate the patient's condition at the time of recording. The goal is to extract features from these recordings that capture the nuances of pain flares, enabling the development
-
better throughput. Recent papers consider a combination of pipeline parallelism with activation checkpointing techniques [5, 6]. An important point is that algorithms with theoretically better time/memory
-
checkpointing techniques [5, 6]. An important point is that algorithms with theoretically better time/memory complexity in practice might provide fewer benefits as it could be expected from analytical derivations
-
: variability in fabrication process parameters, latent defects or even environmental stress. One of the overlooked aspects is the role that HW faults can have in AI decisions. Indeed, there is a common belief
-
interaction (PPI) network. Finely orchestrated PPIs are at the heart of virtually all fundamental cellular processes [1]. A large number of PPIs contribute to life-threatening diseases [2], and more than half a
-
biophysical parameter estimation. The thesis we propose is at the frontier of applied mathematics, image processing/analysis, machine learning, and computer science. The goal is to develop generic image
-
) satellite systems. In this context, a contact is a time-bound interaction allowing data exchange between two nodes, characterized by parameters like duration, nodes involved, signal attributes, and