Elisa Capecci

Orcid: 0000-0001-5624-7238

According to our database1, Elisa Capecci authored at least 16 papers between 2013 and 2020.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2020
Modelling gene interaction networks from time-series gene expression data using evolving spiking neural networks.
Evol. Syst., 2020

2019
A Computational Model of Neuroreceptor-Dependent Plasticity (NRDP) Based on Spiking Neural Networks.
IEEE Trans. Cogn. Dev. Syst., 2019

2018
Analysis of Gene Expression Time Series Data of Ebola Vaccine response using the NeuCube and Temporal Feature Selection.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Road Traffic Forecasting Using NeuCube and Dynamic Evolving Spiking Neural Networks.
Proceedings of the Intelligent Distributed Computing XII, 2018

Analysis, Classification and Marker Discovery of Gene Expression Data with Evolving Spiking Neural Networks.
Proceedings of the Neural Information Processing - 25th International Conference, 2018

Modelling and Analysis of Temporal Gene Expression Data Using Spiking Neural Networks.
Proceedings of the Neural Information Processing - 25th International Conference, 2018

Spiking Neural Networks for Cancer Gene Expression Time Series Modelling and Analysis.
Proceedings of the Neural Information Processing - 25th International Conference, 2018

2016
Evolving spatio-temporal data machines based on the NeuCube neuromorphic framework: Design methodology and selected applications.
Neural Networks, 2016

Longitudinal study of alzheimer's disease degeneration through EEG data analysis with a NeuCube spiking neural network model.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

2015
A Feasibility Study of Using the NeuCube Spiking Neural Network Architecture for Modelling Alzheimer's Disease EEG Data.
Proceedings of the Advances in Neural Networks: Computational and Theoretical Issues, 2015

Analysis of connectivity in NeuCube spiking neural network models trained on EEG data for the understanding of functional changes in the brain: A case study on opiate dependence treatment.
Neural Networks, 2015

Spiking neural network methodology for modelling, classification and understanding of EEG spatio-temporal data measuring cognitive processes.
Inf. Sci., 2015

Modelling Absence Epilepsy seizure data in the NeuCube evolving spiking neural network architecture.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

2014
Feasibility of NeuCube SNN architecture for detecting motor execution and motor intention for use in BCIapplications.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Classification and segmentation of fMRI Spatio-Temporal Brain Data with a NeuCube evolving Spiking Neural Network model.
Proceedings of the IEEE Symposium on Evolving and Autonomous Learning Systems, 2014

2013
Spiking Neural Network for On-line Cognitive Activity Classification Based on EEG Data.
Proceedings of the Neural Information Processing - 20th International Conference, 2013


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