In the field of wildlife observation and conservation, approaches involv...
The ubiquitous availability of mobile devices capable of location tracki...
We apply the vision transformer, a deep machine learning model build aro...
We introduce organism networks, which function like a single neural netw...
Common to all different kinds of recurrent neural networks (RNNs) is the...
Overfitting is a problem in Convolutional Neural Networks (CNN) that cau...
Providing expert trajectories in the context of Imitation Learning is of...
In this work, we thoroughly evaluate the efficacy of pretrained neural
n...
In this work, we present a general procedure for acoustic leak detection...
In many fields of research, labeled datasets are hard to acquire. This i...
In industrial applications, the early detection of malfunctioning factor...
One critical prerequisite for the deployment of reinforcement learning
s...
In the near future, more and more machines will perform tasks in the vic...
In this work we present STEVE - Soccer TEam VEctors, a principled approa...
Detecting sleepiness from spoken language is an ambitious task, which is...