Nikola K. Kasabov

ORCID

Publication Activity (10 Years)

Years Active: 1981-2024
Publications (10 Years): 145

Top Venues

Publications

Yongji Li, Luping Wang, Zhenhong Jia, Jie Yang, Nikola K. Kasabov
Depth prior-based stable tensor decomposition for video snow removal. Displays 84 (2024)
Dongdong Ni, Zhenhong Jia, Jie Yang, Nikola K. Kasabov
Online Low-Light Sand-Dust Video Enhancement Using Adaptive Dynamic Brightness Correction and a Rolling Guidance Filter. IEEE Trans. Multim. 26 (2024)
Enlong Wang, Jiawei Li, Jia Lei, Jinyuan Liu, Shihua Zhou, Bin Wang, Nikola K. Kasabov
SDFuse: Semantic-injected dual-flow learning for infrared and visible image fusion. Expert Syst. Appl. 252 (2024)
Sensen Song, Zhenhong Jia, Fei Shi, Junnan Wang, Jie Yang, Nikola K. Kasabov
Saliency optimization fused background feature with frequency domain features. Multim. Tools Appl. 83 (14) (2024)
Xiaoxu Liu, Wei Qi Yan, Nikola K. Kasabov
Moving vehicle tracking and scene understanding: A hybrid approach. Multim. Tools Appl. 83 (17) (2024)
Zhiqing Guo, Zhenhong Jia, Liejun Wang, Dewang Wang, Gaobo Yang, Nikola K. Kasabov
Constructing New Backbone Networks via Space-Frequency Interactive Convolution for Deepfake Detection. IEEE Trans. Inf. Forensics Secur. 19 (2024)
Piotr S. Maciag, Robert Bembenik, Aleksandra Piekarzewicz, Javier Del Ser, Jesus L. Lobo, Nikola K. Kasabov
Effective air pollution prediction by combining time series decomposition with stacking and bagging ensembles of evolving spiking neural networks. Environ. Model. Softw. 170 (2023)
Sugam Budhraja, Balkaran Singh, Maryam Gholami Doborjeh, Zohreh Gholami Doborjeh, Samuel Tan, Edmund Lai, Wilson Wen Bin Goh, Nikola K. Kasabov
Mosaic LSM: A Liquid State Machine Approach for Multimodal Longitudinal Data Analysis. IJCNN (2023)
Jia Lei, Jiawei Li, Jinyuan Liu, Shihua Zhou, Qiang Zhang, Nikola K. Kasabov
GALFusion: Multi-Exposure Image Fusion via a Global-Local Aggregation Learning Network. IEEE Trans. Instrum. Meas. 72 (2023)
Xiang Wang, Jie Yang, Nikola K. Kasabov
Integrating Spatial and Temporal Information for Violent Activity Detection from Video Using Deep Spiking Neural Networks. Sensors 23 (9) (2023)
Fei Shi, Zhenhong Jia, Huicheng Lai, Nikola K. Kasabov, Sensen Song, Junnan Wang
Sand-dust image enhancement based on light attenuation and transmission compensation. Multim. Tools Appl. 82 (5) (2023)
Ye Xin, Yifei Wei, Zhuang Huang, Zhenhong Jia, Jie Yang, Nikola K. Kasabov
A fast and effective algorithm for specular reflection image enhancement. Multim. Tools Appl. 82 (10) (2023)
Plamen P. Angelov, Dimitar P. Filev, Nikola K. Kasabov, Daniel Leite, Maharadhika Pratama, Susanne Saminger-Platz, Erich-Peter Klement
Obituary Edwin Lughofer (1972-2023). Evol. Syst. 14 (5) (2023)
Alexander Hui Xiang Yang, Nikola K. Kasabov, Yusuf Özgür Çakmak
Prediction and detection of virtual reality induced cybersickness: a spiking neural network approach using spatiotemporal EEG brain data and heart rate variability. Brain Informatics 10 (1) (2023)
Sensen Song, Zhenhong Jia, Jie Yang, Nikola K. Kasabov
Image Segmentation Based on Fuzzy Low-Rank Structural Clustering. IEEE Trans. Fuzzy Syst. 31 (7) (2023)
Nikola K. Kasabov
Neuroinformatics, Neural Networks and Neurocomputers for Brain-inspired Computational Intelligence. SACI (2023)
Wei Zhang, Zhenhong Jia, Jie Yang, Nikola K. Kasabov
A dual channel decomposition and remapping fusion model for low illumination images with a wide field of view. Signal Process. Image Commun. 113 (2023)
Nikola K. Kasabov, Yongyao Tan, Maryam Gholami Doborjeh, Enmei Tu, Jie Yang, Wilson Wen Bin Goh, Jimmy Lee
Transfer Learning of Fuzzy Spatio-Temporal Rules in a Brain-Inspired Spiking Neural Network Architecture: A Case Study on Spatio-Temporal Brain Data. IEEE Trans. Fuzzy Syst. 31 (12) (2023)
Aitor Martínez-Seras, Javier Del Ser, Jesus L. Lobo, Pablo García Bringas, Nikola K. Kasabov
A novel Out-of-Distribution detection approach for Spiking Neural Networks: Design, fusion, performance evaluation and explainability. Inf. Fusion 100 (2023)
Mark Crook-Rumsey, Christina J. Howard, Zohreh Gholami Doborjeh, Maryam Gholami Doborjeh, Josafath Israel Espinosa Ramos, Nikola K. Kasabov, Alexander Sumich
Spatiotemporal EEG Dynamics of Prospective Memory in Ageing and Mild Cognitive Impairment. Cogn. Comput. 15 (4) (2023)
Petia D. Koprinkova-Hristova, Dimitar P. Filev, Simona Nedelcheva, Svetlozar Yordanov, Nikola K. Kasabov
On-line Learning, Classification and Interpretation of Brain Signals using 3D SNN and ESN. IJCNN (2023)
Dongdong Ni, Zhenhong Jia, Jie Yang, Nikola K. Kasabov
A fast sand-dust video quality improvement method using simple color balance and dynamic guided filtering. Multim. Tools Appl. 82 (21) (2023)
Dongdong Ni, Zhenhong Jia, Jie Yang, Nikola K. Kasabov
A real-time quality improvement method based on an adaptive dynamic screened Poisson equation for surveillance video in sand-dust weather. J. Real Time Image Process. 20 (5) (2023)
Baoqiang Shi, Zhenhong Jia, Jie Yang, Nikola K. Kasabov
Unsupervised Change Detection in Wide-Field Video Images Under Low Illumination. IEEE Trans. Circuits Syst. Video Technol. 33 (4) (2023)
Dimitar P. Filev, Petia D. Koprinkova-Hristova, Nikola K. Kasabov, Simona Nedelcheva, Sofiya Ivanovska, Svetlozar Yordanov
Grid Search Optimization of Novel SNN-ESN Classifier on a Supercomputer Platform. LSSC (2023)
Jiawei Li, Jinyuan Liu, Shihua Zhou, Qiang Zhang, Nikola K. Kasabov
Learning a Coordinated Network for Detail-Refinement Multiexposure Image Fusion. IEEE Trans. Circuits Syst. Video Technol. 33 (2) (2023)
Mingjian Chen, Hao Zheng, Changsheng Lu, Enmei Tu, Jie Yang, Nikola K. Kasabov
Accurate breast lesion segmentation by exploiting spatio-temporal information with deep recurrent and convolutional network. J. Ambient Intell. Humaniz. Comput. 14 (12) (2023)
Weijie Chen, Zhenhong Jia, Jie Yang, Nikola K. Kasabov
Multispectral Image Enhancement Based on the Dark Channel Prior and Bilateral Fractional Differential Model. Remote. Sens. 14 (1) (2022)
Dongdong Ni, Zhenhong Jia, Jie Yang, Nikola K. Kasabov
A fast sand-dust video quality improvement method based on adaptive dynamic guided filtering and interframe detection strategy. J. Real Time Image Process. 19 (6) (2022)
Weijie Chen, Zhenhong Jia, Jie Yang, Nikola K. Kasabov
Multispectral Image Enhancement Based on Weighted Principal Component Analysis and Improved Fractional Differential Mask. IEEE Geosci. Remote. Sens. Lett. 19 (2022)
Alexander Hui Xiang Yang, Nikola K. Kasabov, Yusuf Özgür Çakmak
Machine learning methods for the study of cybersickness: a systematic review. Brain Informatics 9 (1) (2022)
Sensen Song, Zhenhong Jia, Jie Yang, Nikola K. Kasabov
Salient detection via the fusion of background-based and multiscale frequency-domain features. Inf. Sci. 618 (2022)
Devarth Parikh, Yawen Lu, Nikola K. Kasabov, Guoyu Lu
Multi-view Geometry Consistency Network for Facial Micro-Expression Recognition From Various Perspectives. IJCNN (2022)
Enmei Tu, Zihao Wang, Jie Yang, Nikola K. Kasabov
Deep semi-supervised learning via dynamic anchor graph embedding in latent space. Neural Networks 146 (2022)
Aitor Martinez-Seras, Javier Del Ser, Jesus L. Lobo, Pablo García Bringas, Nikola K. Kasabov
A Novel Explainable Out-of-Distribution Detection Approach for Spiking Neural Networks. CoRR (2022)
Peng Chen, Shihua Zhou, Qiang Zhang, Nikola K. Kasabov
A meta-inspired termite queen algorithm for global optimization and engineering design problems. Eng. Appl. Artif. Intell. 111 (2022)
Iman Abouhassan, Nikola K. Kasabov, George Popov, Roumen Trifonov
Why Use Evolving Neuro-Fuzzy and Spiking Neural Networks for incremental and explainable learning of time series? A case study on predictive modelling of trade imports and outlier detection. IS (2022)
Maryam Gholami Doborjeh, Zohreh Gholami Doborjeh, Alexander Merkin, Rita Krishnamurthi, Reza Enayatollahi, Valery Feigin, Nikola K. Kasabov
Personalized Spiking Neural Network Models of Clinical and Environmental Factors to Predict Stroke. Cogn. Comput. 14 (6) (2022)
Yong Liu, Miao Sun, Zhenhong Jia, Jie Yang, Nikola K. Kasabov
Denoising of Fluorescence Image on the Surface of Quantum Dot/Nanoporous Silicon Biosensors. Sensors 22 (4) (2022)
Lingli Guo, Zhenhong Jia, Jie Yang, Nikola K. Kasabov
Detail Preserving Low Illumination Image and Video Enhancement Algorithm Based on Dark Channel Prior. Sensors 22 (1) (2022)
Clarence Tan, Marko Sarlija, Nikola K. Kasabov
NeuroSense: Short-term emotion recognition and understanding based on spiking neural network modelling of spatio-temporal EEG patterns. Neurocomputing 434 (2021)
Yawen Lu, Nikola K. Kasabov, Guoyu Lu
Multi-view Geometry Consistency Network for Facial Micro-Expression Recognition From Various Perspectives. IJCNN (2021)
Urtats Etxegarai, Eva Portillo, Jon Irazusta, Lucien Koefoed, Nikola K. Kasabov
A heuristic approach for lactate threshold estimation for training decision-making: An accessible and easy to use solution for recreational runners. Eur. J. Oper. Res. 291 (2) (2021)
Yongji Li, Rui Wu, Zhenhong Jia, Jie Yang, Nikola K. Kasabov
Video Desnowing and Deraining via Saliency and Dual Adaptive Spatiotemporal Filtering. Sensors 21 (22) (2021)
Maryam Gholami Doborjeh, Zohreh Gholami Doborjeh, Alexander Merkin, Helena Bahrami, Alexander Sumich, Rita Krishnamurthi, Oleg N. Medvedev, Mark Crook-Rumsey, Catherine Morgan, Ian J. Kirk, Perminder S. Sachdev, Henry Brodaty, Kristan Kang, Wei Wen, Valery Feigin, Nikola K. Kasabov
Personalised predictive modelling with brain-inspired spiking neural networks of longitudinal MRI neuroimaging data and the case study of dementia. Neural Networks 144 (2021)
Maryam Gholami Doborjeh, Zohreh Gholami Doborjeh, Nikola K. Kasabov, Molood Barati, Grace Y. Wang
Deep Learning of Explainable EEG Patterns as Dynamic Spatiotemporal Clusters and Rules in a Brain-Inspired Spiking Neural Network. Sensors 21 (14) (2021)
Youxi He, Zhenhong Jia, Jie Yang, Nikola K. Kasabov
Multispectral Image Change Detection Based on Single-Band Slow Feature Analysis. Remote. Sens. 13 (15) (2021)
Zhuang Huang, Zhenhong Jia, Jie Yang, Nikola K. Kasabov
An Effective Algorithm for Specular Reflection Image Enhancement. IEEE Access 9 (2021)
Wael Alzhrani, Maryam Gholami Doborjeh, Zohreh Gholami Doborjeh, Nikola K. Kasabov
Emotion Recognition and Understanding Using EEG Data in A Brain-Inspired Spiking Neural Network Architecture. IJCNN (2021)
Aiwen Jia, Zhenhong Jia, Jie Yang, Nikola K. Kasabov
Single-Image Snow Removal Based on an Attention Mechanism and a Generative Adversarial Network. IEEE Access 9 (2021)
Shirin Dora, Nikola K. Kasabov
Spiking Neural Networks for Computational Intelligence: An Overview. Big Data Cogn. Comput. 5 (4) (2021)
Norhanifah Murli, Nikola K. Kasabov, Nurul Amirah Paham
eSNN for Spatio-Temporal fMRI Brain Pattern Recognition with a Graphical Object Recognition Case Study. SCDM (2020)
Balint Petro, Nikola K. Kasabov, Rita M. Kiss
Selection and Optimization of Temporal Spike Encoding Methods for Spiking Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 31 (2) (2020)
Elisa Capecci, Jesus L. Lobo, Ibai Laña, Josafath Israel Espinosa Ramos, Nikola K. Kasabov
Modelling gene interaction networks from time-series gene expression data using evolving spiking neural networks. Evol. Syst. 11 (4) (2020)
Zohreh Gholami Doborjeh, Maryam Gholami Doborjeh, Mark Crook-Rumsey, Tamasin Taylor, Grace Y. Wang, David Moreau, Christian U. Krägeloh, Wendy Wrapson, Richard J. Siegert, Nikola K. Kasabov, Grant Searchfield, Alexander Sumich
Interpretability of Spatiotemporal Dynamics of the Brain Processes Followed by Mindfulness Intervention in a Brain-Inspired Spiking Neural Network Architecture. Sensors 20 (24) (2020)
Yaqiao Cheng, Zhenhong Jia, Huicheng Lai, Jie Yang, Nikola K. Kasabov
A Fast Sand-Dust Image Enhancement Algorithm by Blue Channel Compensation and Guided Image Filtering. IEEE Access 8 (2020)
Yaqiao Cheng, Zhenhong Jia, Huicheng Lai, Jie Yang, Nikola K. Kasabov
Blue Channel and Fusion for Sandstorm Image Enhancement. IEEE Access 8 (2020)
Sugam Budhraja, Basabdatta Sen Bhattacharya, Simon Durrant, Zohreh Gholami Doborjeh, Maryam Gholami Doborjeh, Nikola K. Kasabov
Sleep Stage Classification using NeuCube on SpiNNaker: a Preliminary Study. IJCNN (2020)
Xuanlin He, Jie Yang, Nikola K. Kasabov
Application of an Improved Focal Loss in Vehicle Detection. ICAISC (1) (2020)
Anup Vanarse, Josafath Israel Espinosa Ramos, Adam Osseiran, Alexander Rassau, Nikola K. Kasabov
Application of a Brain-Inspired Spiking Neural Network Architecture to Odor Data Classification. Sensors 20 (10) (2020)
Qinglai Wei, Nikola K. Kasabov, Marios M. Polycarpou, Zhigang Zeng
Deep learning neural networks: Methods, systems, and applications. Neurocomputing 396 (2020)
Clarence Tan, Gerardo Ceballos, Nikola K. Kasabov, Narayan Puthanmadam Subramaniyam
FusionSense: Emotion Classification Using Feature Fusion of Multimodal Data and Deep Learning in a Brain-Inspired Spiking Neural Network. Sensors 20 (18) (2020)
Clarence Tan, Marko Sarlija, Nikola K. Kasabov
Spiking Neural Networks: Background, Recent Development and the NeuCube Architecture. Neural Process. Lett. 52 (2) (2020)
Zhi Li, Zhenhong Jia, Jie Yang, Nikola K. Kasabov
An efficient and high quality medical CT image enhancement algorithm. Int. J. Imaging Syst. Technol. 30 (4) (2020)
Jesus L. Lobo, Javier Del Ser, Albert Bifet, Nikola K. Kasabov
Spiking Neural Networks and online learning: An overview and perspectives. Neural Networks 121 (2020)
Xiaoxu Liu, Wei Qi Yan, Nikola K. Kasabov
Vehicle-Related Scene Segmentation Using CapsNets. IVCNZ (2020)
Yong Zhu, Zhenhong Jia, Jie Yang, Nikola K. Kasabov
Change Detection in Multitemporal Monitoring Images Under Low Illumination. IEEE Access 8 (2020)
Junhui Zuo, Zhenhong Jia, Jie Yang, Nikola K. Kasabov
Moving object detection in video sequence images based on an improved visual background extraction algorithm. Multim. Tools Appl. 79 (39-40) (2020)
Zifei Wang, Xiaolin Huang, Jie Yang, Nikola K. Kasabov
Universal Adversarial Perturbation Generated by Attacking Layer-wise Relevance Propagation. IEEE Conf. on Intelligent Systems (2020)
Kaushalya Kumarasinghe, Nikola K. Kasabov, Denise Taylor
Deep learning and deep knowledge representation in Spiking Neural Networks for Brain-Computer Interfaces. Neural Networks 121 (2020)
Bin Yang, Zhenhong Jia, Jie Yang, Nikola K. Kasabov
Video Snow Removal Based on Self-Adaptation Snow Detection and Patch-Based Gaussian Mixture Model. IEEE Access 8 (2020)
Ander Arriandiaga, Eva Portillo, Josafath Israel Espinosa Ramos, Nikola K. Kasabov
Pulsewidth Modulation-Based Algorithm for Spike Phase Encoding and Decoding of Time-Dependent Analog Data. IEEE Trans. Neural Networks Learn. Syst. 31 (10) (2020)
Shihua Zhou, Pinyan He, Nikola K. Kasabov
A Dynamic DNA Color Image Encryption Method Based on SHA-512. Entropy 22 (10) (2020)
Lanhua Zhang, Zhenhong Jia, Lucien Koefoed, Jie Yang, Nikola K. Kasabov
Remote sensing image enhancement based on the combination of adaptive nonlinear gain and the PLIP model in the NSST domain. Multim. Tools Appl. 79 (19-20) (2020)
Junnan Wang, Zhenhong Jia, Huicheng Lai, Jie Yang, Nikola K. Kasabov
A Multi-Information Fusion Correlation Filters Tracker. IEEE Access 8 (2020)
Tengteng Zhang, Sensen Song, Zhenhong Jia, Jie Yang, Nikola K. Kasabov
Object Motion Deblurring in Single Image Under Static Background. IEEE Access 8 (2020)
Nikola K. Kasabov
Spiking neural networks for deep learning and knowledge representation: Editorial. Neural Networks 119 (2019)
Junhui Zuo, Zhenhong Jia, Jie Yang, Nikola K. Kasabov
Moving Target Detection Based on Improved Gaussian Mixture Background Subtraction in Video Images. IEEE Access 7 (2019)
Liyuan Ma, Zhenhong Jia, Yinfeng Yu, Jie Yang, Nikola K. Kasabov
Multi-Spectral Image Change Detection Based on Band Selection and Single-Band Iterative Weighting. IEEE Access 7 (2019)
Urtats Etxegarai, Eva Portillo, Jon Irazusta, Lucien Koefoed, Nikola K. Kasabov
A heuristic approach for lactate threshold estimation for training decision-making: An accessible and easy to use solution for recreational runners. CoRR (2019)
Liangliang Li, Linli Wang, Zhenhong Jia, Yujuan Si, Jie Yang, Nikola K. Kasabov
A Practical Medical Image Enhancement Algorithm Based on Nonsubsampled Contourlet Transform. J. Medical Imaging Health Informatics 9 (5) (2019)
Liangliang Li, Linli Wang, Zuoxu Wang, Zhenhong Jia, Yujuan Si, Jie Yang, Nikola K. Kasabov
A Novel Medical Image Fusion Approach Based on Nonsubsampled Shearlet Transform. J. Medical Imaging Health Informatics 9 (9) (2019)
Xuemei Lou, Zhenhong Jia, Jie Yang, Nikola K. Kasabov
, 1179. Sensors 19 (10) (2019)
Luyang Liu, Zhenhong Jia, Jie Yang, Nikola K. Kasabov
SAR Image Change Detection Based on Mathematical Morphology and the K-Means Clustering Algorithm. IEEE Access 7 (2019)
Xiaoqian Yang, Zhenhong Jia, Jie Yang, Nikola K. Kasabov
Change Detection of Optical Remote Sensing Image Disturbed by Thin Cloud Using Wavelet Coefficient Substitution Algorithm. Sensors 19 (9) (2019)
Josafath Israel Espinosa Ramos, Elisa Capecci, Nikola K. Kasabov
A Computational Model of Neuroreceptor-Dependent Plasticity (NRDP) Based on Spiking Neural Networks. IEEE Trans. Cogn. Dev. Syst. 11 (1) (2019)
Ruyong Ren, Zhenhong Jia, Jie Yang, Nikola K. Kasabov
Applying Speckle Noise Suppression to Refractive Indices Change Detection in Porous Silicon Microarrays. Sensors 19 (13) (2019)
Xuemei Lou, Zhenhong Jia, Jie Yang, Nikola K. Kasabov
Change Detection in SAR Images Based on the ROF Model Semi-Implicit Denoising Method. Sensors 19 (5) (2019)
Ruyong Ren, Zhenhong Jia, Jie Yang, Nikola K. Kasabov, Xiaohui Huang
Quasi-Noise-Free and Detail-Preserved Digital Holographic Reconstruction. IEEE Access 7 (2019)
Guo Qingrong, Jia Zhenhong, Yang Jie, Nikola K. Kasabov
Contrast enhancement of medical images using fuzzy set theory and nonsubsampled shearlet transform. Int. J. Imaging Syst. Technol. 29 (4) (2019)
Maryam Gholami Doborjeh, Nikola K. Kasabov, Zohreh Gholami Doborjeh, Reza Enayatollahi, Enmei Tu, Amir H. Gandomi
Personalised modelling with spiking neural networks integrating temporal and static information. Neural Networks 119 (2019)
Dhvani Shah, Grace Y. Wang, Maryam Gholami Doborjeh, Zohreh Gholami Doborjeh, Nikola K. Kasabov
Deep Learning of EEG Data in the NeuCube Brain-Inspired Spiking Neural Network Architecture for a Better Understanding of Depression. ICONIP (3) (2019)
Kaushalya Kumarasinghe, Denise Taylor, Nikola K. Kasabov
eSPANNet: Evolving Spike Pattern Association Neural Network for Spike-based Supervised Incremental Learning and Its Application for Single-trial Brain Computer Interfaces. IJCNN (2019)
Jesus L. Lobo, Javier Del Ser, Albert Bifet, Nikola K. Kasabov
Spiking Neural Networks and Online Learning: An Overview and Perspectives. CoRR (2019)
Piotr S. Maciag, Nikola K. Kasabov, Marzena Kryszkiewicz, Robert Bembenik
Air pollution prediction with clustering-based ensemble of evolving spiking neural networks and a case study for London area. Environ. Model. Softw. 118 (2019)
Xiaohui Huang, Zhenhong Jia, Junlin Zhou, Jie Yang, Nikola K. Kasabov
Speckle Reduction of Reconstructions of Digital Holograms Using Gamma-Correction and Filtering. IEEE Access 6 (2018)
Zohreh Gholami Doborjeh, Maryam Gholami Doborjeh, Nikola K. Kasabov
Attentional Bias Pattern Recognition in Spiking Neural Networks from Spatio-Temporal EEG Data. Cogn. Comput. 10 (1) (2018)
Neelava Sengupta, Carolyn B. McNabb, Nikola K. Kasabov, Bruce Russell
Integrating Space, Time, and Orientation in Spiking Neural Networks: A Case Study on Multimodal Brain Data Modeling. IEEE Trans. Neural Networks Learn. Syst. 29 (11) (2018)
Jesus L. Lobo, Ibai Laña, Javier Del Ser, Miren Nekane Bilbao, Nikola K. Kasabov
Evolving Spiking Neural Networks for online learning over drifting data streams. Neural Networks 108 (2018)
Ibai Laña, Elisa Capecci, Javier Del Ser, Jesus L. Lobo, Nikola K. Kasabov
Road Traffic Forecasting Using NeuCube and Dynamic Evolving Spiking Neural Networks. IDC (2018)

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Publication Activity (10 Years)

Top Topics

Top Venues

Nikola K. Kasabov