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09/29/2022
Lightweight Monocular Depth Estimation with an Edge Guided Network
Monocular depth estimation is an important task that can be applied to m...
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03/24/2022
Onto4MAT: A Swarm Shepherding Ontology for Generalised Multi-Agent Teaming
Research in multi-agent teaming has increased substantially over recent ...
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11/24/2021
MobileXNet: An Efficient Convolutional Neural Network for Monocular Depth Estimation
Depth is a vital piece of information for autonomous vehicles to perceiv...
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11/16/2021
Towards Real-Time Monocular Depth Estimation for Robotics: A Survey
As an essential component for many autonomous driving and robotic activi...
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11/07/2021
Multi-Fake Evolutionary Generative Adversarial Networks for Imbalance Hyperspectral Image Classification
This paper presents a novel multi-fake evolutionary generative adversari...
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08/20/2021
Does Adversarial Oversampling Help us?
Traditional oversampling methods are generally employed to handle class ...
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07/27/2021
Improving ClusterGAN Using Self-AugmentedInformation Maximization of Disentangling LatentSpaces
The Latent Space Clustering in Generative adversarial networks (ClusterG...
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06/26/2020
Q-Learning with Differential Entropy of Q-Tables
It is well-known that information loss can occur in the classic and simp...
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04/24/2020
Continuous Deep Hierarchical Reinforcement Learning for Ground-Air Swarm Shepherding
The control and guidance of multi-robots (swarm) is a non-trivial proble...
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03/10/2020
Towards Interpretable Deep Neural Networks: An Exact Transformation to Multi-Class Multivariate Decision Trees
Deep neural networks (DNNs) are commonly labelled as black-boxes lacking...
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03/10/2020
An Exact Transformation from Deep Neural Networks to Multi-Class Multivariate Decision Trees
Deep neural networks (DNNs) are commonly labelled as black-boxes lacking...
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02/07/2020
Machine Education: Designing semantically ordered and ontologically guided modular neural networks
The literature on machine teaching, machine education, and curriculum de...
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03/04/2018
Towards Bi-Directional Communication in Human-Swarm Teaming: A Survey
Swarm systems consist of large numbers of robots that collaborate autono...
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02/27/2018
Behavioral Learning of Aircraft Landing Sequencing Using a Society of Probabilistic Finite State Machines
Air Traffic Control (ATC) is a complex safety critical environment. A to...
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03/16/2016
A Review of Theoretical and Practical Challenges of Trusted Autonomy in Big Data
Despite the advances made in artificial intelligence, software agents, a...
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07/02/2009