Browse
Andrea Soltoggio
Andrea's public data
VOCCluster: Untargeted Metabolomics Feature Clustering Approach for Clinical Breath Gas Chromatography - Mass Spectrometry Data
Yaser Alkhalifah
2019-02-18T17:02:12Z
A fully convolutional two-stream fusion network for interactive image segmentation
Yang Hu
2018-10-17T11:26:13Z
Born to learn: the inspiration, progress, and future of evolved plastic artificial neural networks
Andrea Soltoggio
2018-08-02T08:37:55Z
Distributed strategy adaptation with a prediction function in multi-agent task allocation
Joanna Turner
2018-05-21T13:32:20Z
Convolutional neural networks for automated targeted analysis of gas chromatography-mass spectrometry data
Angelika Mucha
2018-05-21T13:11:52Z
Supplementary files for article Distributed Task Rescheduling With Time Constraints for the Optimization of Total Task Allocations in a Multirobot System
Joanna Turner
2018-03-23T09:10:05Z
Fast consensus for fully distributed multi-agent task allocation
Joanna Turner
2018-02-12T13:59:50Z
Neural networks for efficient nonlinear online clustering
Yanis Bahroun
2017-10-05T13:26:29Z
software
Matlab code: From Modulated Hebbian Plasticity to Simple Behavior Learning through Noise and Weight Saturation
Andrea Soltoggio
2017-09-08T13:27:54Z
Distributed task rescheduling with time constraints for the optimisation of total task allocations in a multi-robot system
Joanna Turner
2017-09-07T15:17:20Z
Building efficient deep Hebbian networks for image classification tasks
Yanis Bahroun
2017-06-20T12:42:11Z
Online representation learning with single and multi-layer Hebbian networks for image classification
Yanis Bahroun
2017-06-20T12:31:18Z
CONFIDENTIAL FILE
Neural plasticity for rich and uncertain robotic information streams
Andrea Soltoggio
2016-11-10T14:23:54Z
Editorial: Neural plasticity for rich and uncertain robotic information streams
Andrea Soltoggio
2015-11-16T15:44:01Z
CONFIDENTIAL FILE
The Aikido inspiration to safety and efficiency: an investigation on forward roll impact forces
Andrea Soltoggio
2015-11-10T14:27:19Z
Evolution of neural symmetry and its coupled alignment to body plan morphology
Ben H. Jones
2015-03-18T15:37:46Z
Novelty of behaviour as a basis for the neuro-evolution of operant reward learning
Andrea Soltoggio
2015-03-18T15:32:12Z
Neural plasticity and minimal topologies for reward-based learning
Andrea Soltoggio
2015-03-18T13:47:55Z
Real-time hebbian learning from autoencoder features for control tasks
Justin K. Pugh
2015-03-18T13:41:44Z
POET: an evo-devo method to optimize the weights of a large artificial neural networks
Alessandro Fontana
2015-03-18T13:34:00Z
Evolutionary advantages of neuromodulated plasticity in dynamic, reward-based scenarios
Andrea Soltoggio
2015-03-18T13:20:32Z
Solving the distal reward problem with rare correlations
Andrea Soltoggio
2015-03-13T13:46:16Z
How rich motor skills empower robots at last: Insights and progress of the AMARSi project
Andrea Soltoggio
2015-03-13T12:07:41Z
From modulated Hebbian plasticity to simple behavior learning through noise and weight saturation
Andrea Soltoggio
2015-03-13T11:46:38Z
Rare neural correlations implement robotic conditioning with delayed rewards and disturbances
Andrea Soltoggio
2015-03-13T11:06:54Z
Movement primitives as a robotic tool to interpret trajectories through learning-by-doing
Andrea Soltoggio
2015-03-13T10:22:16Z
Movement primitives as a robotic tool to interpret trajectories through learning-by-doing
Andrea Soltoggio
2015-03-12T16:28:38Z
Short and long term plasticity as cause-effect hypothesis testing in robotic ambiguous scenarios
Andrea Soltoggio
2015-03-12T16:15:41Z
Using movement primitives in interpreting and decomposing complex trajectories in learning-by-doing
Andrea Soltoggio
2014-10-15T10:05:17Z
Learning the rules of a game: neural conditioning in human-robot interaction with delayed rewards
Andrea Soltoggio
2014-10-15T09:26:52Z
Short-term plasticity as cause-effect hypothesis testing in distal reward learning
Andrea Soltoggio
2014-10-15T09:07:45Z
