334 citations · 1.2k across the 64 of their papers we have counts for
4 papers · 1 filter
Site-specific Deep Learning Path Loss Models based on the Method of Moments
Conor Brennan, Kevin McGuinness
This paper describes deep learning models based on convolutional neural networks applied to the problem of predicting EM wave propagation over rural terrain. A surface integral equ…
Improving Behavioural Cloning with Positive Unlabeled Learning
Qiang Wang, Robert McCarthy, David Cordova Bulens +6
Learning control policies offline from pre-recorded datasets is a promising avenue for solving challenging real-world problems. However, available datasets are typically of mixed q…
Unifying Synergies between Self-supervised Learning and Dynamic Computation
Tarun Krishna, Ayush K Rai, Alexandru Drimbarean +5
Computationally expensive training strategies make self-supervised learning (SSL) impractical for resource constrained industrial settings. Techniques like knowledge distillation (…
MediaEval 2019: Concealed FGSM Perturbations for Privacy Preservation
Panagiotis Linardos, Suzanne Little, Kevin McGuinness
This work tackles the Pixel Privacy task put forth by MediaEval 2019. Our goal is to manipulate images in a way that conceals them from automatic scene classifiers while preserving…