| 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 | 189 | 2016 |
| 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 | 144 | 2015 |
| 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 | 89 | 2019 |
| 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 | 54 | 2015 |
| 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 | 37 | 2014 |
| 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 | 34 | 2016 |
| 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 | 24 | 2015 |
| 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 | 21 | 2014 |
| 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 | 12 | 2018 |
| 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 | 10 | 2018 |
| 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 | 9 | 2018 |
| 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 | 7 | 2015 |
| 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 | 5 | 2013 |
| 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 | 4 | 2018 |
| 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 | 3 | 2020 |
| 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 | 2 | 2018 |
| 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 | 2 | 2018 |
| 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 | 1 | 2015 |
| Abdulatif, Amr 93 Esposito, Anna 3,265, 347 Agnello, Luca 195 Esposito, Antonietta M. 137 Arreola, Viridiana 311 Fagiani, Marco 185 I Baldassarre, L Farnia, C Baldassi, M Faundez-Zanuy, E Balzanelli, ... Advances in Neural Networks: Computational and Theoretical Issues 37, 401, 2015 | | 2015 |
Prof. Nikola Kasabov, LFIEEE, FRSNZ,...Knowledgeengineering.ai, Auckland University of Technology; IICT Bulgarian Academy of SciencesVerifisert e-postadresse på aut.ac.nz