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05/19/2022
Analyzing Echo-state Networks Using Fractal Dimension
This work joins aspects of reservoir optimization, information-theoretic...
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08/10/2021
A hydraulic model outperforms work-balance models for predicting recovery kinetics from intermittent exercise
Data Science advances in sports commonly involve "big data", i.e., large...
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07/12/2021
A Systematic Literature Review of Automated ICD Coding and Classification Systems using Discharge Summaries
Codification of free-text clinical narratives have long been recognised ...
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04/16/2021
A New Pathway to Approximate Energy Expenditure and Recovery of an Athlete
This work proposes to use evolutionary computation as a pathway to allow...
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04/04/2018
Information Maximizing Exploration with a Latent Dynamics Model
All reinforcement learning algorithms must handle the trade-off between ...
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02/09/2018
Predictive Neural Networks
Recurrent neural networks are a powerful means to cope with time series....
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11/06/2017
RoboCupSimData: A RoboCup soccer research dataset
RoboCup is an international scientific robot competition in which teams ...
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03/17/2014
Simulation leagues: Analysis of competition formats
The selection of an appropriate competition format is critical for both ...
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09/06/2013
Guided Self-Organization of Input-Driven Recurrent Neural Networks
We review attempts that have been made towards understanding the computa...
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09/06/2013
Nano-scale reservoir computing
This work describes preliminary steps towards nano-scale reservoir compu...
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11/16/2012