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Elisa Capecci PhD
Elisa Capecci PhD
Unknown affiliation
Verified email at trustpower.co.nz
Title
Cited by
Cited by
Year
Evolving spatio-temporal data machines based on the NeuCube neuromorphic framework: Design methodology and selected applications
N Kasabov, NM Scott, E Tu, S Marks, N Sengupta, E Capecci, M Othman, ...
Neural Networks 78, 1-14, 2016
1842016
Spiking neural network methodology for modelling, classification and understanding of EEG spatio-temporal data measuring cognitive processes
N Kasabov, E Capecci
Information Sciences 294, 565-575, 2015
1492015
Adaptive long-term traffic state estimation with evolving spiking neural networks
I Laña, JL Lobo, E Capecci, J Del Ser, N Kasabov
Transportation Research Part C: Emerging Technologies 101, 126-144, 2019
842019
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 …
E Capecci, N Kasabov, GY Wang
Neural Networks 68, 62-77, 2015
522015
Classification and segmentation of fMRI spatio-temporal brain data with a NeuCube evolving spiking neural network model
MG Doborjeh, E Capecci, N Kasabov
2014 IEEE symposium on evolving and autonomous learning systems (EALS), 73-80, 2014
382014
Longitudinal Study of Alzheimer's Disease Degeneration through EEG Data Analysis with a NeuCube Spiking Neural Network Model
E Capecci, Z Gholami Doborjeh, N Mammone, F La Foresta, FC Morabito, ...
IEEE, 2016
332016
A feasibility study of using the neucube spiking neural network architecture for modelling alzheimer’s disease eeg data
E Capecci, FC Morabito, M Campolo, N Mammone, D Labate, N Kasabov
Advances in neural networks: Computational and theoretical issues, 159-172, 2015
252015
Feasibility of neucube snn architecture for detecting motor execution and motor intention for use in bciapplications
D Taylor, N Scott, N Kasabov, E Capecci, E Tu, N Saywell, Y Chen, J Hu, ...
2014 International Joint Conference on Neural Networks (IJCNN), 3221-3225, 2014
212014
Analysis, classification and marker discovery of gene expression data with evolving spiking neural networks
GK Shahi, I Bilbao, E Capecci, D Nandini, M Choukri, N Kasabov
Neural Information Processing: 25th International Conference, ICONIP 2018 …, 2018
122018
A Computational Model of Neuroreceptor Dependent Plasticity (NRDP) Based on Spiking Neural Networks
JI Espinosa-Ramos, E Capecci, N Kasabov
IEEE Transactions on Cognitive and Developmental Systems, DOI: 10.1109/TCDS …, 2017
12*2017
Road traffic forecasting using neucube and dynamic evolving spiking neural networks
I Laña, E Capecci, J Del Ser, JL Lobo, N Kasabov
Intelligent Distributed Computing XII, 192-203, 2018
112018
Modelling and analysis of temporal gene expression data using spiking neural networks
D Nandini, E Capecci, L Koefoed, I Laña, GK Shahi, N Kasabov
Neural Information Processing: 25th International Conference, ICONIP 2018 …, 2018
92018
Modelling Absence Epilepsy Seizure Data in the NeuCube Evolving Spiking Neural Network Architecture
E Capecci, JI Espinosa-Ramos, N Mammone, N Kasabov, ...
Springer Berlin Heidelberg, 2015
72015
Spiking neural network for on-line cognitive activity classification based on EEG data
S Schliebs, E Capecci, N Kasabov
Neural Information Processing: 20th International Conference, ICONIP 2013 …, 2013
52013
From von Neumann Architecture and Atanasoff’s ABC to Neuromorphic Computation and Kasabov’s NeuCube. Part II: Applications
M Gholami Doborjeh, Z Gholami Doborjeh, AR Gollahalli, ...
Practical Issues of Intelligent Innovations, 17-36, 2018
42018
Modelling gene interaction networks from time-series gene expression data using evolving spiking neural networks
E Capecci, JL Lobo, I Laña, JI Espinosa-Ramos, N Kasabov
Evolving Systems 11 (4), 599-613, 2020
32020
Analysis of gene expression time series data of ebola vaccine response using the neucube and temporal feature selection
L Koefoed, E Capecci, N Kasabov
2018 International Joint Conference on Neural Networks (IJCNN), 1-7, 2018
22018
Spiking neural networks for cancer gene expression time series modelling and analysis
J Dray, E Capecci, N Kasabov
Neural Information Processing: 25th International Conference, ICONIP 2018 …, 2018
22018
CLASSIFICATION OF PEOPLE WITH TREATMENT-RESISTANT AND ULTRA-TREATMENT-RESISTANT SCHIZOPHRENIA USING RESTING-STATE EEG AND THE NEUCUBE
C McNabb, E Capecci, M McIlwain, V Anderson, N Kasabov, R Kydd, ...
SCHIZOPHRENIA BULLETIN 41 (Issue suppl_1), S233-S234, 2015
12015
Computational Modelling of Spatio-Temporal EEG Brain Data with Spiking Neural Networks
E Capecci
Auckland University of Technology, 2015
2015
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