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05/17/2023
State Representation Learning Using an Unbalanced Atlas
The manifold hypothesis posits that high-dimensional data often lies on ...
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04/23/2023
Ensuring Trustworthy Medical Artificial Intelligencethrough Ethical and Philosophical Principles
Artificial intelligence (AI) methods have great potential to revolutioni...
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03/13/2023
Unsupervised Representation Learning in Partially Observable Atari Games
State representation learning aims to capture latent factors of an envir...
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10/11/2022
Combining datasets to increase the number of samples and improve model fitting
For many use cases, combining information from different datasets can be...
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07/27/2022
Towards the Neuroevolution of Low-level Artificial General Intelligence
In this work, we argue that the search for Artificial General Intelligen...
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06/30/2022
Deep Reinforcement Learning with Swin Transformer
Transformers are neural network models that utilize multiple layers of s...
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03/28/2022
Adaptive Learning with Artificial Barriers Yielding Nash Equilibria in General Games
Artificial barriers in Learning Automata (LA) is a powerful and yet unde...
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03/02/2022
Improving the Diversity of Bootstrapped DQN via Noisy Priors
Q-learning is one of the most well-known Reinforcement Learning algorith...
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09/02/2021
Artificial Intelligence in Dry Eye Disease
Dry eye disease (DED) has a prevalence of between 5 and 50%, depending o...
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06/28/2021
Expert Q-learning: Deep Q-learning With State Values From Expert Examples
We propose a novel algorithm named Expert Q-learning. Expert Q-learning ...
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05/14/2021
DoS and DDoS Mitigation Using Variational Autoencoders
DoS and DDoS attacks have been growing in size and number over the last ...
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01/06/2021
LightLayers: Parameter Efficient Dense and Convolutional Layers for Image Classification
Deep Neural Networks (DNNs) have become the de-facto standard in compute...
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04/27/2020
Efficient Quantile Tracking Using an Oracle
For incremental quantile estimators the step size and possibly other tun...
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01/22/2020
A hemodynamic decomposition model for detecting cognitive load using functional near-infrared spectroscopy
In the current paper, we introduce a parametric data-driven model for fu...
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01/08/2020
Estimating Tukey Depth Using Incremental Quantile Estimators
The concept of depth represents methods to measure how deep an arbitrary...
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07/03/2019
A general representation of dynamical systems for reservoir computing
Dynamical systems are capable of performing computation in a reservoir c...
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02/13/2019
Joint Tracking of Multiple Quantiles Through Conditional Quantiles
Estimation of quantiles is one of the most fundamental real-time analysi...
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01/15/2019
Quantile Tracking in Dynamically Varying Data Streams Using a Generalized Exponentially Weighted Average of Observations
The Exponentially Weighted Average (EWA) of observations is known to be ...
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01/15/2019
Parameter Estimation in Abruptly Changing Dynamic Environments
Many real-life dynamical systems change abruptly followed by almost stat...
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08/31/2018
Autonomous Configuration of Network Parameters in Operating Systems using Evolutionary Algorithms
By default, the Linux network stack is not configured for highspeed larg...
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07/12/2018
Achieving Connectivity Between Wide Areas Through Self-Organising Robot Swarm Using Embodied Evolution
Abruptions to the communication infrastructure happens occasionally, whe...
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06/23/2016