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ORCIDNikola K. Kasabov
Person information
- affiliation: Auckland University of Technology, Knowledge Engineering & Discovery Research Institute (KEDRI), New Zealand
- affiliation: University of Otago, Department of Information Science, Dunedin, New Zealand
- affiliation (PhD 1975): Technical University Sofia, Bulgaria
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2020 – today
- 2023
[j197]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): 15 (2023)- [j196]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): 1273-1299 (2023) - [j195]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: 101943 (2023) - [j194]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): 105 (2023) - [j193]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): 7055-7077 (2023) - [j192]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): 14897-14914 (2023) - [j191]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): 33285-33302 (2023) - [j190]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): 4532 (2023) - [j189]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: 116925 (2023) - [j188]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): 713-727 (2023) - [j187]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): 1564-1576 (2023) - [j186]Sensen Song, Zhenhong Jia, Jie Yang, Nikola K. Kasabov:
Image Segmentation Based on Fuzzy Low-Rank Structural Clustering. IEEE Trans. Fuzzy Syst. 31(7): 2153-2166 (2023) - [j185]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: 1-15 (2023) - [c174]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: 1-8 - [c173]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: 1-6 - [c172]Nikola K. Kasabov:
Neuroinformatics, Neural Networks and Neurocomputers for Brain-inspired Computational Intelligence. SACI 2023: 13-14 - 2022
- [j184]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): 24 (2022) - [j183]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): 2187-2202 (2022) - [j182]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: 104805 (2022) - [j181]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: 53-71 (2022) - [j180]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): 1181-1197 (2022) - [j179]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: 1-5 (2022) - [j178]Enmei Tu, Zihao Wang, Jie Yang, Nikola K. Kasabov:
Deep semi-supervised learning via dynamic anchor graph embedding in latent space. Neural Networks 146: 350-360 (2022) - [j177]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): 233 (2022) - [j176]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): 85 (2022) - [j175]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): 1366 (2022) - [c171]Devarth Parikh, Yawen Lu, Nikola K. Kasabov, Guoyu Lu:
Multi-view Geometry Consistency Network for Facial Micro-Expression Recognition From Various Perspectives. IJCNN 2022: 1-8 - [c170]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: 1-7 - [p11]Zifei Wang, Xiaolin Huang, Jie Yang, Nikola K. Kasabov:
Universal Adversarial Perturbation Generated by Using Attention Information. Advances in Intelligent Systems Research and Innovation 2022: 21-39 - [i5]Aitor Martínez-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 abs/2210.00894 (2022) - 2021
- [j174]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: 12852-12860 (2021) - [j173]Zhuang Huang, Zhenhong Jia, Jie Yang, Nikola K. Kasabov:
An Effective Algorithm for Specular Reflection Image Enhancement. IEEE Access 9: 154513-154523 (2021) - [j172]Shirin Dora, Nikola K. Kasabov:
Spiking Neural Networks for Computational Intelligence: An Overview. Big Data Cogn. Comput. 5(4): 67 (2021) - [j171]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): 427-437 (2021) - [j170]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: 137-148 (2021) - [j169]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: 522-539 (2021) - [j168]Youxi He, Zhenhong Jia, Jie Yang, Nikola K. Kasabov:
Multispectral Image Change Detection Based on Single-Band Slow Feature Analysis. Remote. Sens. 13(15): 2969 (2021) - [j167]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): 4900 (2021) - [j166]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): 7610 (2021) - [c169]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: 1-9 - [c168]Yawen Lu, Nikola K. Kasabov, Guoyu Lu:
Multi-view Geometry Consistency Network for Facial Micro-Expression Recognition From Various Perspectives. IJCNN 2021: 1-8 - [e12]Mufti Mahmud, M. Shamim Kaiser, Nikola K. Kasabov, Khan Iftekharuddin, Ning Zhong:
Applied Intelligence and Informatics - First International Conference, AII 2021, Nottingham, UK, July 30-31, 2021, Proceedings. Communications in Computer and Information Science 1435, Springer 2021, ISBN 978-3-030-82268-2 [contents] - 2020
- [j165]Yaqiao Cheng, Zhenhong Jia, Huicheng Lai, Jie Yang, Nikola K. Kasabov:
Blue Channel and Fusion for Sandstorm Image Enhancement. IEEE Access 8: 66931-66940 (2020) - [j164]Yong Zhu, Zhenhong Jia, Jie Yang, Nikola K. Kasabov:
Change Detection in Multitemporal Monitoring Images Under Low Illumination. IEEE Access 8: 126700-126712 (2020) - [j163]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: 160188-160201 (2020) - [j162]Junnan Wang, Zhenhong Jia, Huicheng Lai, Jie Yang, Nikola K. Kasabov:
A Multi-Information Fusion Correlation Filters Tracker. IEEE Access 8: 162022-162040 (2020) - [j161]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: 196690-196699 (2020) - [j160]Tengteng Zhang, Sensen Song, Zhenhong Jia, Jie Yang, Nikola K. Kasabov:
Object Motion Deblurring in Single Image Under Static Background. IEEE Access 8: 218069-218080 (2020) - [j159]Shihua Zhou, Pinyan He, Nikola K. Kasabov:
A Dynamic DNA Color Image Encryption Method Based on SHA-512. Entropy 22(10): 1091 (2020) - [j158]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): 599-613 (2020) - [j157]Qinglai Wei, Nikola K. Kasabov, Marios M. Polycarpou, Zhigang Zeng:
Deep learning neural networks: Methods, systems, and applications. Neurocomputing 396: 130-132 (2020) - [j156]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): 939-949 (2020) - [j155]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): 13647-13665 (2020) - [j154]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): 29663-29684 (2020) - [j153]Jesus L. Lobo, Javier Del Ser, Albert Bifet, Nikola K. Kasabov:
Spiking Neural Networks and online learning: An overview and perspectives. Neural Networks 121: 88-100 (2020) - [j152]Kaushalya Kumarasinghe, Nikola K. Kasabov, Denise Taylor:
Deep learning and deep knowledge representation in Spiking Neural Networks for Brain-Computer Interfaces. Neural Networks 121: 169-185 (2020) - [j151]Clarence Tan, Marko Sarlija, Nikola K. Kasabov:
Spiking Neural Networks: Background, Recent Development and the NeuCube Architecture. Neural Process. Lett. 52(2): 1675-1701 (2020) - [j150]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): 2756 (2020) - [j149]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): 5328 (2020) - [j148]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): 7354 (2020) - [j147]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): 358-370 (2020) - [j146]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): 3920-3931 (2020) - [c167]Xuanlin He, Jie Yang, Nikola K. Kasabov:
Application of an Improved Focal Loss in Vehicle Detection. ICAISC (1) 2020: 114-123 - [c166]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: 1-8 - [c165]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: 431-436 - [c164]Xiaoxu Liu, Wei Qi Yan, Nikola K. Kasabov:
Vehicle-Related Scene Segmentation Using CapsNets. IVCNZ 2020: 1-6 - [c163]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: 470-478
2010 – 2019
- 2019
- [j145]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: 27948-27956 (2019) - [j144]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: 43970-43978 (2019) - [j143]Ruyong Ren, Zhenhong Jia, Jie Yang, Nikola K. Kasabov, Xiaohui Huang:
Quasi-Noise-Free and Detail-Preserved Digital Holographic Reconstruction. IEEE Access 7: 52155-52167 (2019) - [j142]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: 152612-152623 (2019) - [j141]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: 262-280 (2019) - [j140]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): 483-490 (2019) - [j139]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): 1046-1056 (2019) - [j138]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): 1815-1826 (2019) - [j137]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: 162-177 (2019) - [j136]Nikola K. Kasabov:
Spiking neural networks for deep learning and knowledge representation: Editorial. Neural Networks 119: 341-342 (2019) - [j135]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): 1179 (2019) - [j134]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): 1972 (2019) - [j133]Xuemei Lou, Zhenhong Jia, Jie Yang, Nikola K. Kasabov:
Erratum: Lou, X.; Jia, Z.; Yang, J.; Kasabov, N. Change Detection in SAR Images Based on the ROF Model Semi-Implicit Denoising Method. Sensors 2019, 19, 1179. Sensors 19(10): 2314 (2019) - [j132]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): 2975 (2019) - [j131]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): 63-72 (2019) - [c162]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: 195-206 - [c161]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: 1-8 - [i4]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 abs/1903.02318 (2019) - [i3]Jesus L. Lobo, Javier Del Ser, Albert Bifet, Nikola K. Kasabov:
Spiking Neural Networks and Online Learning: An Overview and Perspectives. CoRR abs/1908.08019 (2019) - 2018
- [j130]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: 5227-5235 (2018) - [j129]Obada Al Zoubi, Mariette Awad, Nikola K. Kasabov:
Anytime multipurpose emotion recognition from EEG data using a Liquid State Machine based framework. Artif. Intell. Medicine 86: 1-8 (2018) - [j128]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): 35-48 (2018) - [j127]Fahad Bashir Alvi, Russel Pears, Nikola K. Kasabov:
An evolving spatio-temporal approach for gender and age group classification with Spiking Neural Networks. Evol. Syst. 9(2): 145-156 (2018) - [j126]Maryam Gholami Doborjeh, Nikola K. Kasabov, Zohreh Gholami Doborjeh:
Evolving, dynamic clustering of spatio/spectro-temporal data in 3D spiking neural network models and a case study on EEG data. Evol. Syst. 9(3): 195-211 (2018) - [j125]Lukas Paulun, Anne Wendt, Nikola K. Kasabov:
A Retinotopic Spiking Neural Network System for Accurate Recognition of Moving Objects Using NeuCube and Dynamic Vision Sensors. Frontiers Comput. Neurosci. 12: 42 (2018) - [j124]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: 1-19 (2018) - [j123]Cheng Peng, Fanghui Liu, Jie Yang, Nikola K. Kasabov:
Densely Connected Discriminative Correlation Filters for Visual Tracking. IEEE Signal Process. Lett. 25(7): 1019-1023 (2018) - [j122]Cheng Peng, Fanghui Liu, Jie Yang, Nikola K. Kasabov:
Robust Visual Tracking via Dirac-Weighted Cascading Correlation Filters. IEEE Signal Process. Lett. 25(11): 1700-1704 (2018) - [j121]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): 5249-5263 (2018) - [c160]Nikola K. Kasabov:
Deep Learning in Spiking Neural Networks for Brain-Inspired Artificial Intelligence. CompSysTech 2018: 1 - [c159]Lu Wang, Chao Ma, Enmei Tu, Jie Yang, Nikola K. Kasabov:
Discrete Sparse Hashing for Cross-Modal Similarity Search. ICONIP (4) 2018: 256-267 - [c158]Mingjian Chen, Hao Zheng, Changsheng Lu, Enmei Tu, Jie Yang, Nikola K. Kasabov:
A Spatio-Temporal Fully Convolutional Network for Breast Lesion Segmentation in DCE-MRI. ICONIP (7) 2018: 358-368 - [c157]Gautam Kishore Shahi, Imanol Bilbao, Elisa Capecci, Durgesh Nandini, Maria Choukri, Nikola K. Kasabov:
Analysis, Classification and Marker Discovery of Gene Expression Data with Evolving Spiking Neural Networks. ICONIP (5) 2018: 517-527 - [c156]Durgesh Nandini, Elisa Capecci, Lucien Koefoed, Ibai Laña, Gautam Kishore Shahi, Nikola K. Kasabov:
Modelling and Analysis of Temporal Gene Expression Data Using Spiking Neural Networks. ICONIP (1) 2018: 571-581 - [c155]Jack Dray, Elisa Capecci, Nikola K. Kasabov:
Spiking Neural Networks for Cancer Gene Expression Time Series Modelling and Analysis. ICONIP (1) 2018: 625-634 - [c154]Kaushalya Kumarasinghe, Mahonri Owen, Denise Taylor, Nikola K. Kasabov, Chi Kit:
FaNeuRobot: A Framework for Robot and Prosthetics Control Using the NeuCube Spiking Neural Network Architecture and Finite Automata Theory. ICRA 2018: 1-8 - [c153]Jesus L. Lobo, Javier Del Ser, Ibai Laña, Miren Nekane Bilbao, Nikola K. Kasabov:
Drift Detection over Non-stationary Data Streams Using Evolving Spiking Neural Networks. IDC 2018: 82-94 - [c152]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: 192-203 - [c151]Zohreh Gholami Doborjeh, Maryam Gholami Doborjeh, Nikola K. Kasabov:
EEG Pattern Recognition using Brain-Inspired Spiking Neural Networks for Modelling Human Decision Processes. IJCNN 2018: 1-7 - [c150]