87 citations · 159 across the 11 of their papers we have counts for
6 papers · 1 filter
UNICAD: A Unified Approach for Attack Detection, Noise Reduction and Novel Class Identification
Alvaro Lopez Pellicer, Kittipos Giatgong, Yi Li +2
As the use of Deep Neural Networks (DNNs) becomes pervasive, their vulnerability to adversarial attacks and limitations in handling unseen classes poses significant challenges. The…
An Interpretable Deep Semantic Segmentation Method for Earth Observation
Ziyang Zhang, Plamen Angelov, Eduardo Soares +2
Earth observation is fundamental for a range of human activities including flood response as it offers vital information to decision makers. Semantic segmentation plays a key role…
Multi-Branch with Attention Network for Hand-Based Person Recognition
Nathanael L. Baisa, Bryan Williams, Hossein Rahmani +2
In this paper, we propose a novel hand-based person recognition method for the purpose of criminal investigations since the hand image is often the only available information in ca…
Hand-Based Person Identification using Global and Part-Aware Deep Feature Representation Learning
Nathanael L. Baisa, Bryan Williams, Hossein Rahmani +2
In cases of serious crime, including sexual abuse, often the only available information with demonstrated potential for identification is images of the hands. Since this evidence i…
Deep Learning based Automated Forest Health Diagnosis from Aerial Images
Chia-Yen Chiang, Chloe Barnes, Plamen Angelov +1
Global climate change has had a drastic impact on our environment. Previous study showed that pest disaster occured from global climate change may cause a tremendous number of tree…
Towards Deep Machine Reasoning: a Prototype-based Deep Neural Network with Decision Tree Inference
Plamen Angelov, Eduardo Soares
In this paper we introduce the DMR -- a prototype-based method and network architecture for deep learning which is using a decision tree (DT)-based inference and synthetic data to…