Nikola K. Kasabov

439 papers A* 1A 1B 66C 9Misc 8Journal 222Unranked 113

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A multispectral pansharpening method based on CNN-DI network with mixture of experts. Appl. Soft Comput. Zhongyuan Guo, Jia Lei, Shihua Zhou, Bin Wang, Nikola K. Kasabov
2025	Misc	`ed.`	Artificial Intelligence: Methodology, Systems, and Applications - 19th International Conference, AIMSA 2024, Varna, Bulgaria, September 18-20, 2024, Proceedings AIMSA Petia D. Koprinkova-Hristova, Nikola K. Kasabov
2025	B	`conf`	Genetic Predictors of Social and Cognitive Outcomes in People with Ultra-High-Risk of Psychosis Using Spiking Neural Networks. IJCNN Zohreh Doborjeh, Balkaran Singh, Alexander Sumich, Maryam Doborjeh, Wilson Wen Bin Goh, Nikola K. Kasabov
2025	J	`jnl`	LarTap: A Luminance-Aware Framework With Text-Correlation Priors for Multi-Exposure Image Fusion. IEEE Trans. Circuits Syst. Video Technol. Enlong Wang, Jiawei Li, Tiantian Yan, Jia Lei, Shihua Zhou, Bin Wang, Jinyuan Liu, Nikola K. Kasabov
2025	J	`jnl`	MLFuse: Multi-Scenario Feature Joint Learning for Multi-Modality Image Fusion. IEEE Trans. Multim. Jia Lei, Jiawei Li, Jinyuan Liu, Bin Wang, Shihua Zhou, Qiang Zhang, Xiaopeng Wei, Nikola K. Kasabov
2025	J	`jnl`	NeuDen: a framework for the integration of neuromorphic evolving spiking neural networks with dynamic evolving neuro-fuzzy systems for predictive and explainable modelling of streaming data. Evol. Syst. Iman Yakzan Abou Hassan, Nikola K. Kasabov
2025	J	`jnl`	New Eigenvalue-Based Analysis for Precise Limit Cycle Stability Assessment in a Two-State Epileptor Model. IEEE Trans. Syst. Man Cybern. Syst. Samaneh-Alsadat Saeedinia, Mohammad Reza Jahed-Motlagh, Nikola K. Kasabov, Abbas Tafakhori
2025	—	`conf`	Novel Neuron-Stability Weighted Dynamic Evolving Spiking Neural Network (NSW-DeSNN) for Classification of fMRI Data. ICONIP (2) Maryam Doborjeh, Zohreh Doborjeh, Nikola K. Kasabov
2025	J	`jnl`	SAIN: Search-And-INfer, a Mathematical and Computational Framework for Personalised Multimodal Data Modelling with Applications in Healthcare. Algorithms Cristian S. Calude, Patrick Gladding, Alec Henderson, Nikola K. Kasabov
2025	J	`jnl`	ePAMeT: evolving predictive associative memories for time series. Evol. Syst. Iman Abouhassan, Nikola K. Kasabov, Tanmay Bankar, Rishabh Garg, Basabdatta Sen Bhattacharya
2024	—	`conf`	Calming the Mind: Spiking Neural Networks Reveal How Havening Touch to Reduce Persistent Distress Attenuates Left Temporal Electroencephalographic Connectivity. ICONIP (11) Alexander Sumich, Zohreh Doborjeh, Nadja Heym, Aroha Scott, Kirsty Hunter, Tony Burgess, Julie French, Mustafa Sarkar, Maryam Doborjeh, Nikola K. Kasabov
2024	J	`jnl`	Constructing New Backbone Networks via Space-Frequency Interactive Convolution for Deepfake Detection. IEEE Trans. Inf. Forensics Secur. Zhiqing Guo, Zhenhong Jia, Liejun Wang, Dewang Wang, Gaobo Yang, Nikola K. Kasabov
2024	J	`jnl`	Depth prior-based stable tensor decomposition for video snow removal. Displays Yongji Li, Luping Wang, Zhenhong Jia, Jie Yang, Nikola K. Kasabov
2024	J	`jnl`	GeSeNet: A General Semantic-Guided Network With Couple Mask Ensemble for Medical Image Fusion. IEEE Trans. Neural Networks Learn. Syst. Jiawei Li, Jinyuan Liu, Shihua Zhou, Qiang Zhang, Nikola K. Kasabov
2024	—	`conf`	Izhikevich Neurons in NeuCube for Longitudinal Data Classification. ICONIP (11) Balkaran Singh, Sugam Budhraja, Maryam Doborjeh, Zohreh Doborjeh, Edmund M.-K. Lai, Nikola K. Kasabov
2024	J	`jnl`	Moving vehicle tracking and scene understanding: A hybrid approach. Multim. Tools Appl. Xiaoxu Liu, Wei Qi Yan, Nikola K. Kasabov
2024	J	`jnl`	Multiscale Bilateral Attention Fusion Network for Pansharpening. IEEE Trans. Artif. Intell. Zhongyuan Guo, Jiawei Li, Jia Lei, Jinyuan Liu, Shihua Zhou, Bin Wang, Nikola K. Kasabov
2024	—	`conf`	Neurocomputational Modelling of EEG Connectivity: Links Between Depression, Inflammation, and Gut-Microbiome. BI (1) Zohreh Doborjeh, Daniel lavin, Kirsty Hunter, Nadja Heym, Bryony Heasman, Maryam Doborjeh, Nikola K. Kasabov, Glen Gibson, Alexander Sumich
2024	J	`jnl`	Online Low-Light Sand-Dust Video Enhancement Using Adaptive Dynamic Brightness Correction and a Rolling Guidance Filter. IEEE Trans. Multim. Dongdong Ni, Zhenhong Jia, Jie Yang, Nikola K. Kasabov
2024	—	`conf`	Performance Analysis of Quantum-Enhanced Kernel Classifiers Based on Feature Maps: A Case Study on EEG-BCI Data. ICONIP (2) Ravi Kumar Jha, Nikola K. Kasabov, Damien Coyle, Saugat Bhattacharyya, Girijesh Prasad
2024	Misc	`conf`	Predictive and Explainable Modelling in Economics on the Case Study of Remittance Prediction Using the NeuDen AI Computational Architecture. AIMSA Iman Abouhassan, Nikola K. Kasabov, Roumen Trifonov, George Popov
2024	J	`jnl`	SDFuse: Semantic-injected dual-flow learning for infrared and visible image fusion. Expert Syst. Appl. Enlong Wang, Jiawei Li, Jia Lei, Jinyuan Liu, Shihua Zhou, Bin Wang, Nikola K. Kasabov
2024	J	`jnl`	Saliency optimization fused background feature with frequency domain features. Multim. Tools Appl. Sensen Song, Zhenhong Jia, Fei Shi, Junnan Wang, Jie Yang, Nikola K. Kasabov
2023	J	`jnl`	A dual channel decomposition and remapping fusion model for low illumination images with a wide field of view. Signal Process. Image Commun. Wei Zhang, Zhenhong Jia, Jie Yang, Nikola K. Kasabov
2023	J	`jnl`	A fast and effective algorithm for specular reflection image enhancement. Multim. Tools Appl. Ye Xin, Yifei Wei, Zhuang Huang, Zhenhong Jia, Jie Yang, Nikola K. Kasabov
2023	J	`jnl`	A fast sand-dust video quality improvement method using simple color balance and dynamic guided filtering. Multim. Tools Appl. Dongdong Ni, Zhenhong Jia, Jie Yang, Nikola K. Kasabov
2023	J	`jnl`	A novel Out-of-Distribution detection approach for Spiking Neural Networks: Design, fusion, performance evaluation and explainability. Inf. Fusion Aitor Martínez-Seras, Javier Del Ser, Jesus L. Lobo, Pablo García Bringas, Nikola K. Kasabov
2023	J	`jnl`	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. Dongdong Ni, Zhenhong Jia, Jie Yang, Nikola K. Kasabov
2023	J	`jnl`	Accurate breast lesion segmentation by exploiting spatio-temporal information with deep recurrent and convolutional network. J. Ambient Intell. Humaniz. Comput. Mingjian Chen, Hao Zheng, Changsheng Lu, Enmei Tu, Jie Yang, Nikola K. Kasabov
2023	J	`jnl`	Effective air pollution prediction by combining time series decomposition with stacking and bagging ensembles of evolving spiking neural networks. Environ. Model. Softw. Piotr S. Maciag, Robert Bembenik, Aleksandra Piekarzewicz, Javier Del Ser, Jesus L. Lobo, Nikola K. Kasabov
2023	J	`jnl`	Filter and Wrapper Stacking Ensemble (FWSE): a robust approach for reliable biomarker discovery in high-dimensional omics data. Briefings Bioinform. Sugam Budhraja, Maryam Doborjeh, Balkaran Singh, Samuel Tan, Zohreh Gholami Doborjeh, Edmund M.-K. Lai, Alexander Merkin, Jimmy Lee, Wilson Wen Bin Goh, Nikola K. Kasabov
2023	J	`jnl`	GALFusion: Multi-Exposure Image Fusion via a Global-Local Aggregation Learning Network. IEEE Trans. Instrum. Meas. Jia Lei, Jiawei Li, Jinyuan Liu, Shihua Zhou, Qiang Zhang, Nikola K. Kasabov
2023	—	`conf`	Grid Search Optimization of Novel SNN-ESN Classifier on a Supercomputer Platform. LSSC Dimitar P. Filev, Petia D. Koprinkova-Hristova, Nikola K. Kasabov, Simona Nedelcheva, Sofiya Ivanovska, Svetlozar Yordanov
2023	J	`jnl`	Image Segmentation Based on Fuzzy Low-Rank Structural Clustering. IEEE Trans. Fuzzy Syst. Sensen Song, Zhenhong Jia, Jie Yang, Nikola K. Kasabov
2023	J	`jnl`	Integrating Spatial and Temporal Information for Violent Activity Detection from Video Using Deep Spiking Neural Networks. Sensors Xiang Wang, Jie Yang, Nikola K. Kasabov
2023	J	`jnl`	Learning a Coordinated Network for Detail-Refinement Multiexposure Image Fusion. IEEE Trans. Circuits Syst. Video Technol. Jiawei Li, Jinyuan Liu, Shihua Zhou, Qiang Zhang, Nikola K. Kasabov
2023	B	`conf`	Mosaic LSM: A Liquid State Machine Approach for Multimodal Longitudinal Data Analysis. IJCNN Sugam Budhraja, Balkaran Singh, Maryam Doborjeh, Zohreh Gholami Doborjeh, Samuel Tan, Edmund M.-K. Lai, Wilson Wen Bin Goh, Nikola K. Kasabov
2023	Misc	`conf`	Neuroinformatics, Neural Networks and Neurocomputers for Brain-inspired Computational Intelligence. SACI Nikola K. Kasabov
2023	J	`jnl`	Obituary Edwin Lughofer (1972-2023). Evol. Syst. Plamen Angelov, Dimitar P. Filev, Nikola K. Kasabov, Daniel Leite, Maharadhika Pratama, Susanne Saminger-Platz, Erich-Peter Klement
2023	B	`conf`	On-line Learning, Classification and Interpretation of Brain Signals using 3D SNN and ESN. IJCNN Petia D. Koprinkova-Hristova, Dimitar P. Filev, Simona Nedelcheva, Svetlozar Yordanov, Nikola K. Kasabov
2023	J	`jnl`	Prediction and detection of virtual reality induced cybersickness: a spiking neural network approach using spatiotemporal EEG brain data and heart rate variability. Brain Informatics Alexander Hui Xiang Yang, Nikola K. Kasabov, Yusuf Özgür Çakmak
2023	J	`jnl`	Sand-dust image enhancement based on light attenuation and transmission compensation. Multim. Tools Appl. Fei Shi, Zhenhong Jia, Huicheng Lai, Nikola K. Kasabov, Sensen Song, Junnan Wang
2023	J	`jnl`	Spatiotemporal EEG Dynamics of Prospective Memory in Ageing and Mild Cognitive Impairment. Cogn. Comput. Mark Crook-Rumsey, Christina J. Howard, Zohreh Gholami Doborjeh, Maryam Doborjeh, Josafath Israel Espinosa Ramos, Nikola K. Kasabov, Alexander Sumich
2023	J	`jnl`	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. Nikola K. Kasabov, Yongyao Tan, Maryam Doborjeh, Enmei Tu, Jie Yang, Wilson Wen Bin Goh, Jimmy Lee
2023	J	`jnl`	Unsupervised Change Detection in Wide-Field Video Images Under Low Illumination. IEEE Trans. Circuits Syst. Video Technol. Baoqiang Shi, Zhenhong Jia, Jie Yang, Nikola K. Kasabov
2022	J	`jnl`	A Novel Explainable Out-of-Distribution Detection Approach for Spiking Neural Networks. CoRR Aitor Martínez-Seras, Javier Del Ser, Jesus L. Lobo, Pablo García Bringas, Nikola K. Kasabov
2022	J	`jnl`	A fast sand-dust video quality improvement method based on adaptive dynamic guided filtering and interframe detection strategy. J. Real Time Image Process. Dongdong Ni, Zhenhong Jia, Jie Yang, Nikola K. Kasabov
2022	J	`jnl`	A meta-inspired termite queen algorithm for global optimization and engineering design problems. Eng. Appl. Artif. Intell. Peng Chen, Shihua Zhou, Qiang Zhang, Nikola K. Kasabov
2022	J	`jnl`	Deep semi-supervised learning via dynamic anchor graph embedding in latent space. Neural Networks Enmei Tu, Zihao Wang, Jie Yang, Nikola K. Kasabov
2022	J	`jnl`	Denoising of Fluorescence Image on the Surface of Quantum Dot/Nanoporous Silicon Biosensors. Sensors Yong Liu, Miao Sun, Zhenhong Jia, Jie Yang, Nikola K. Kasabov
2022	J	`jnl`	Detail Preserving Low Illumination Image and Video Enhancement Algorithm Based on Dark Channel Prior. Sensors Lingli Guo, Zhenhong Jia, Jie Yang, Nikola K. Kasabov
2022	J	`jnl`	Machine learning methods for the study of cybersickness: a systematic review. Brain Informatics Alexander Hui Xiang Yang, Nikola K. Kasabov, Yusuf Özgür Çakmak
2022	B	`conf`	Multi-view Geometry Consistency Network for Facial Micro-Expression Recognition From Various Perspectives. IJCNN Devarth Parikh, Yawen Lu, Nikola K. Kasabov, Guoyu Lu
2022	J	`jnl`	Multispectral Image Enhancement Based on Weighted Principal Component Analysis and Improved Fractional Differential Mask. IEEE Geosci. Remote. Sens. Lett. Weijie Chen, Zhenhong Jia, Jie Yang, Nikola K. Kasabov
2022	J	`jnl`	Multispectral Image Enhancement Based on the Dark Channel Prior and Bilateral Fractional Differential Model. Remote. Sens. Weijie Chen, Zhenhong Jia, Jie Yang, Nikola K. Kasabov
2022	J	`jnl`	Personalized Spiking Neural Network Models of Clinical and Environmental Factors to Predict Stroke. Cogn. Comput. Maryam Doborjeh, Zohreh Gholami Doborjeh, Alexander Merkin, Rita Krishnamurthi, Reza Enayatollahi, Valery Feigin, Nikola K. Kasabov
2022	J	`jnl`	Salient detection via the fusion of background-based and multiscale frequency-domain features. Inf. Sci. Sensen Song, Zhenhong Jia, Jie Yang, Nikola K. Kasabov
2022	—	`ch.`	Universal Adversarial Perturbation Generated by Using Attention Information. Advances in Intelligent Systems Research and Innovation Zifei Wang, Xiaolin Huang, Jie Yang, Nikola K. Kasabov
2022	—	`conf`	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 Iman Abouhassan, Nikola K. Kasabov, George Popov, Roumen Trifonov
2021	J	`jnl`	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. Urtats Etxegarai, Eva Portillo, Jon Irazusta, Lucien Koefoed, Nikola K. Kasabov
2021	J	`jnl`	An Effective Algorithm for Specular Reflection Image Enhancement. IEEE Access Zhuang Huang, Zhenhong Jia, Jie Yang, Nikola K. Kasabov
2021	—	`ed.`	Applied Intelligence and Informatics - First International Conference, AII 2021, Nottingham, UK, July 30-31, 2021, Proceedings AII Mufti Mahmud, M. Shamim Kaiser, Nikola K. Kasabov, Khan Iftekharuddin, Ning Zhong
2021	J	`jnl`	Deep Learning of Explainable EEG Patterns as Dynamic Spatiotemporal Clusters and Rules in a Brain-Inspired Spiking Neural Network. Sensors Maryam Doborjeh, Zohreh Gholami Doborjeh, Nikola K. Kasabov, Molood Barati, Grace Y. Wang
2021	B	`conf`	Emotion Recognition and Understanding Using EEG Data in A Brain-Inspired Spiking Neural Network Architecture. IJCNN Wael Alzhrani, Maryam Doborjeh, Zohreh Gholami Doborjeh, Nikola K. Kasabov
2021	B	`conf`	Multi-view Geometry Consistency Network for Facial Micro-Expression Recognition From Various Perspectives. IJCNN Yawen Lu, Nikola K. Kasabov, Guoyu Lu
2021	J	`jnl`	Multispectral Image Change Detection Based on Single-Band Slow Feature Analysis. Remote. Sens. Youxi He, Zhenhong Jia, Jie Yang, Nikola K. Kasabov
2021	J	`jnl`	NeuroSense: Short-term emotion recognition and understanding based on spiking neural network modelling of spatio-temporal EEG patterns. Neurocomputing Clarence Tan, Marko Sarlija, Nikola K. Kasabov
2021	J	`jnl`	Personalised predictive modelling with brain-inspired spiking neural networks of longitudinal MRI neuroimaging data and the case study of dementia. Neural Networks Maryam 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
2021	J	`jnl`	Single-Image Snow Removal Based on an Attention Mechanism and a Generative Adversarial Network. IEEE Access Aiwen Jia, Zhenhong Jia, Jie Yang, Nikola K. Kasabov
2021	J	`jnl`	Spiking Neural Networks for Computational Intelligence: An Overview. Big Data Cogn. Comput. Shirin Dora, Nikola K. Kasabov
2021	J	`jnl`	Video Desnowing and Deraining via Saliency and Dual Adaptive Spatiotemporal Filtering. Sensors Yongji Li, Rui Wu, Zhenhong Jia, Jie Yang, Nikola K. Kasabov
2020	J	`jnl`	A Dynamic DNA Color Image Encryption Method Based on SHA-512. Entropy Shihua Zhou, Pinyan He, Nikola K. Kasabov
2020	J	`jnl`	A Fast Sand-Dust Image Enhancement Algorithm by Blue Channel Compensation and Guided Image Filtering. IEEE Access Yaqiao Cheng, Zhenhong Jia, Huicheng Lai, Jie Yang, Nikola K. Kasabov
2020	J	`jnl`	A Multi-Information Fusion Correlation Filters Tracker. IEEE Access Junnan Wang, Zhenhong Jia, Huicheng Lai, Jie Yang, Nikola K. Kasabov
2020	J	`jnl`	An efficient and high quality medical CT image enhancement algorithm. Int. J. Imaging Syst. Technol. Zhi Li, Zhenhong Jia, Jie Yang, Nikola K. Kasabov
2020	J	`jnl`	Application of a Brain-Inspired Spiking Neural Network Architecture to Odor Data Classification. Sensors Anup Vanarse, Josafath Israel Espinosa Ramos, Adam Osseiran, Alexander Rassau, Nikola K. Kasabov
2020	—	`conf`	Application of an Improved Focal Loss in Vehicle Detection. ICAISC (1) Xuanlin He, Jie Yang, Nikola K. Kasabov
2020	J	`jnl`	Blue Channel and Fusion for Sandstorm Image Enhancement. IEEE Access Yaqiao Cheng, Zhenhong Jia, Huicheng Lai, Jie Yang, Nikola K. Kasabov
2020	J	`jnl`	Change Detection in Multitemporal Monitoring Images Under Low Illumination. IEEE Access Yong Zhu, Zhenhong Jia, Jie Yang, Nikola K. Kasabov
2020	J	`jnl`	Deep learning and deep knowledge representation in Spiking Neural Networks for Brain-Computer Interfaces. Neural Networks Kaushalya Kumarasinghe, Nikola K. Kasabov, Denise Taylor
2020	J	`jnl`	Deep learning neural networks: Methods, systems, and applications. Neurocomputing Qinglai Wei, Nikola K. Kasabov, Marios M. Polycarpou, Zhigang Zeng
2020	J	`jnl`	FusionSense: Emotion Classification Using Feature Fusion of Multimodal Data and Deep Learning in a Brain-Inspired Spiking Neural Network. Sensors Clarence Tan, Gerardo Ceballos, Nikola K. Kasabov, Narayan Puthanmadam Subramaniyam
2020	J	`jnl`	Interpretability of Spatiotemporal Dynamics of the Brain Processes Followed by Mindfulness Intervention in a Brain-Inspired Spiking Neural Network Architecture. Sensors Zohreh Gholami Doborjeh, Maryam 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
2020	J	`jnl`	Modelling gene interaction networks from time-series gene expression data using evolving spiking neural networks. Evol. Syst. Elisa Capecci, Jesus L. Lobo, Ibai Laña, Josafath Israel Espinosa Ramos, Nikola K. Kasabov
2020	J	`jnl`	Moving object detection in video sequence images based on an improved visual background extraction algorithm. Multim. Tools Appl. Junhui Zuo, Zhenhong Jia, Jie Yang, Nikola K. Kasabov
2020	J	`jnl`	Object Motion Deblurring in Single Image Under Static Background. IEEE Access Tengteng Zhang, Sensen Song, Zhenhong Jia, Jie Yang, Nikola K. Kasabov
2020	J	`jnl`	Pulsewidth Modulation-Based Algorithm for Spike Phase Encoding and Decoding of Time-Dependent Analog Data. IEEE Trans. Neural Networks Learn. Syst. Ander Arriandiaga, Eva Portillo, Josafath Israel Espinosa Ramos, Nikola K. Kasabov
2020	J	`jnl`	Remote sensing image enhancement based on the combination of adaptive nonlinear gain and the PLIP model in the NSST domain. Multim. Tools Appl. Lanhua Zhang, Zhenhong Jia, Lucien Koefoed, Jie Yang, Nikola K. Kasabov
2020	J	`jnl`	Selection and Optimization of Temporal Spike Encoding Methods for Spiking Neural Networks. IEEE Trans. Neural Networks Learn. Syst. Balint Petro, Nikola K. Kasabov, Rita M. Kiss
2020	B	`conf`	Sleep Stage Classification using NeuCube on SpiNNaker: a Preliminary Study. IJCNN Sugam Budhraja, Basabdatta Sen Bhattacharya, Simon Durrant, Zohreh Gholami Doborjeh, Maryam Gholami Doborjeh, Nikola K. Kasabov
2020	J	`jnl`	Spiking Neural Networks and online learning: An overview and perspectives. Neural Networks Jesus L. Lobo, Javier Del Ser, Albert Bifet, Nikola K. Kasabov
2020	J	`jnl`	Spiking Neural Networks: Background, Recent Development and the NeuCube Architecture. Neural Process. Lett. Clarence Tan, Marko Sarlija, Nikola K. Kasabov
2020	—	`conf`	Universal Adversarial Perturbation Generated by Attacking Layer-wise Relevance Propagation. IEEE Conf. on Intelligent Systems Zifei Wang, Xiaolin Huang, Jie Yang, Nikola K. Kasabov
2020	Misc	`conf`	Vehicle-Related Scene Segmentation Using CapsNets. IVCNZ Xiaoxu Liu, Wei Qi Yan, Nikola K. Kasabov
2020	J	`jnl`	Video Snow Removal Based on Self-Adaptation Snow Detection and Patch-Based Gaussian Mixture Model. IEEE Access Bin Yang, Zhenhong Jia, Jie Yang, Nikola K. Kasabov
2020	—	`conf`	eSNN for Spatio-Temporal fMRI Brain Pattern Recognition with a Graphical Object Recognition Case Study. SCDM Norhanifah Murli, Nikola K. Kasabov, Nurul Amirah Paham
2019	J	`jnl`	A Computational Model of Neuroreceptor-Dependent Plasticity (NRDP) Based on Spiking Neural Networks. IEEE Trans. Cogn. Dev. Syst. Josafath Israel Espinosa Ramos, Elisa Capecci, Nikola K. Kasabov
2019	J	`jnl`	A Novel Medical Image Fusion Approach Based on Nonsubsampled Shearlet Transform. J. Medical Imaging Health Informatics Liangliang Li, Linli Wang, Zuoxu Wang, Zhenhong Jia, Yujuan Si, Jie Yang, Nikola K. Kasabov
2019	J	`jnl`	A Practical Medical Image Enhancement Algorithm Based on Nonsubsampled Contourlet Transform. J. Medical Imaging Health Informatics Liangliang Li, Linli Wang, Zhenhong Jia, Yujuan Si, Jie Yang, Nikola K. Kasabov
2019	J	`jnl`	A heuristic approach for lactate threshold estimation for training decision-making: An accessible and easy to use solution for recreational runners. CoRR Urtats Etxegarai, Eva Portillo, Jon Irazusta, Lucien Koefoed, Nikola K. Kasabov
2019	J	`jnl`	Air pollution prediction with clustering-based ensemble of evolving spiking neural networks and a case study for London area. Environ. Model. Softw. Piotr S. Maciag, Nikola K. Kasabov, Marzena Kryszkiewicz, Robert Bembenik
2019	J	`jnl`	Applying Speckle Noise Suppression to Refractive Indices Change Detection in Porous Silicon Microarrays. Sensors Ruyong Ren, Zhenhong Jia, Jie Yang, Nikola K. Kasabov
2019	J	`jnl`	Change Detection in SAR Images Based on the ROF Model Semi-Implicit Denoising Method. Sensors Xuemei Lou, Zhenhong Jia, Jie Yang, Nikola K. Kasabov
2019	J	`jnl`	Change Detection of Optical Remote Sensing Image Disturbed by Thin Cloud Using Wavelet Coefficient Substitution Algorithm. Sensors Xiaoqian Yang, Zhenhong Jia, Jie Yang, Nikola K. Kasabov
2019	J	`jnl`	Contrast enhancement of medical images using fuzzy set theory and nonsubsampled shearlet transform. Int. J. Imaging Syst. Technol. Guo Qingrong, Jia Zhenhong, Yang Jie, Nikola K. Kasabov
2019	—	`conf`	Deep Learning of EEG Data in the NeuCube Brain-Inspired Spiking Neural Network Architecture for a Better Understanding of Depression. ICONIP (3) Dhvani Shah, Grace Y. Wang, Maryam Doborjeh, Zohreh Gholami Doborjeh, Nikola K. Kasabov
2019	J	`jnl`	Erratum: Lou, X.; Jia, Z.; Yang, J.; Kasabov, N. Change Detection in SAR Images Based on the ROF Model Semi-Implicit Denoising Method. Sensors Xuemei Lou, Zhenhong Jia, Jie Yang, Nikola K. Kasabov
2019	J	`jnl`	Moving Target Detection Based on Improved Gaussian Mixture Background Subtraction in Video Images. IEEE Access Junhui Zuo, Zhenhong Jia, Jie Yang, Nikola K. Kasabov
2019	J	`jnl`	Multi-Spectral Image Change Detection Based on Band Selection and Single-Band Iterative Weighting. IEEE Access Liyuan Ma, Zhenhong Jia, Yinfeng Yu, Jie Yang, Nikola K. Kasabov
2019	J	`jnl`	Personalised modelling with spiking neural networks integrating temporal and static information. Neural Networks Maryam Doborjeh, Nikola K. Kasabov, Zohreh Gholami Doborjeh, Reza Enayatollahi, Enmei Tu, Amir H. Gandomi
2019	J	`jnl`	Quasi-Noise-Free and Detail-Preserved Digital Holographic Reconstruction. IEEE Access Ruyong Ren, Zhenhong Jia, Jie Yang, Nikola K. Kasabov, Xiaohui Huang
2019	J	`jnl`	SAR Image Change Detection Based on Mathematical Morphology and the K-Means Clustering Algorithm. IEEE Access Luyang Liu, Zhenhong Jia, Jie Yang, Nikola K. Kasabov
2019	J	`jnl`	Spiking Neural Networks and Online Learning: An Overview and Perspectives. CoRR Jesus L. Lobo, Javier Del Ser, Albert Bifet, Nikola K. Kasabov
2019	J	`jnl`	Spiking neural networks for deep learning and knowledge representation: Editorial. Neural Networks Nikola K. Kasabov
2019	B	`conf`	eSPANNet: Evolving Spike Pattern Association Neural Network for Spike-based Supervised Incremental Learning and Its Application for Single-trial Brain Computer Interfaces. IJCNN Kaushalya Kumarasinghe, Denise Taylor, Nikola K. Kasabov
2018	J	`jnl`	A Retinotopic Spiking Neural Network System for Accurate Recognition of Moving Objects Using NeuCube and Dynamic Vision Sensors. Frontiers Comput. Neurosci. Lukas Paulun, Anne Wendt, Nikola K. Kasabov
2018	—	`conf`	A Spatio-Temporal Fully Convolutional Network for Breast Lesion Segmentation in DCE-MRI. ICONIP (7) Mingjian Chen, Hao Zheng, Changsheng Lu, Enmei Tu, Jie Yang, Nikola K. Kasabov
2018	J	`jnl`	An evolving spatio-temporal approach for gender and age group classification with Spiking Neural Networks. Evol. Syst. Fahad Bashir Alvi, Russel Pears, Nikola K. Kasabov
2018	B	`conf`	Analysis of Gene Expression Time Series Data of Ebola Vaccine response using the NeuCube and Temporal Feature Selection. IJCNN Lucien Koefoed, Elisa Capecci, Nikola K. Kasabov
2018	—	`conf`	Analysis, Classification and Marker Discovery of Gene Expression Data with Evolving Spiking Neural Networks. ICONIP (5) Gautam Kishore Shahi, Imanol Bilbao, Elisa Capecci, Durgesh Nandini, Maria Choukri, Nikola K. Kasabov
2018	J	`jnl`	Anytime multipurpose emotion recognition from EEG data using a Liquid State Machine based framework. Artif. Intell. Medicine Obada Al Zoubi, Mariette Awad, Nikola K. Kasabov
2018	J	`jnl`	Attentional Bias Pattern Recognition in Spiking Neural Networks from Spatio-Temporal EEG Data. Cogn. Comput. Zohreh Gholami Doborjeh, Maryam Gholami Doborjeh, Nikola K. Kasabov
2018	—	`conf`	Deep Learning in Spiking Neural Networks for Brain-Inspired Artificial Intelligence. CompSysTech Nikola K. Kasabov
2018	J	`jnl`	Densely Connected Discriminative Correlation Filters for Visual Tracking. IEEE Signal Process. Lett. Cheng Peng, Fanghui Liu, Jie Yang, Nikola K. Kasabov
2018	—	`conf`	Discrete Sparse Hashing for Cross-Modal Similarity Search. ICONIP (4) Lu Wang, Chao Ma, Enmei Tu, Jie Yang, Nikola K. Kasabov
2018	Misc	`conf`	Drift Detection over Non-stationary Data Streams Using Evolving Spiking Neural Networks. IDC Jesus L. Lobo, Javier Del Ser, Ibai Laña, Miren Nekane Bilbao, Nikola K. Kasabov
2018	B	`conf`	EEG Pattern Recognition using Brain-Inspired Spiking Neural Networks for Modelling Human Decision Processes. IJCNN Zohreh Gholami Doborjeh, Maryam Gholami Doborjeh, Nikola K. Kasabov
2018	J	`jnl`	Evolving Spiking Neural Networks for online learning over drifting data streams. Neural Networks Jesus L. Lobo, Ibai Laña, Javier Del Ser, Miren Nekane Bilbao, Nikola K. Kasabov
2018	J	`jnl`	Evolving, dynamic clustering of spatio/spectro-temporal data in 3D spiking neural network models and a case study on EEG data. Evol. Syst. Maryam Gholami Doborjeh, Nikola K. Kasabov, Zohreh Gholami Doborjeh
2018	A*	`conf`	FaNeuRobot: A Framework for Robot and Prosthetics Control Using the NeuCube Spiking Neural Network Architecture and Finite Automata Theory. ICRA Kaushalya Kumarasinghe, Mahonri Owen, Denise Taylor, Nikola K. Kasabov, Chi Kit
2018	J	`jnl`	Integrating Space, Time, and Orientation in Spiking Neural Networks: A Case Study on Multimodal Brain Data Modeling. IEEE Trans. Neural Networks Learn. Syst. Neelava Sengupta, Carolyn B. McNabb, Nikola K. Kasabov, Bruce Russell
2018	—	`conf`	Modelling and Analysis of Temporal Gene Expression Data Using Spiking Neural Networks. ICONIP (1) Durgesh Nandini, Elisa Capecci, Lucien Koefoed, Ibai Laña, Gautam Kishore Shahi, Nikola K. Kasabov
2018	Misc	`conf`	Road Traffic Forecasting Using NeuCube and Dynamic Evolving Spiking Neural Networks. IDC Ibai Laña, Elisa Capecci, Javier Del Ser, Jesus L. Lobo, Nikola K. Kasabov
2018	J	`jnl`	Robust Visual Tracking via Dirac-Weighted Cascading Correlation Filters. IEEE Signal Process. Lett. Cheng Peng, Fanghui Liu, Jie Yang, Nikola K. Kasabov
2018	J	`jnl`	Speckle Reduction of Reconstructions of Digital Holograms Using Gamma-Correction and Filtering. IEEE Access Xiaohui Huang, Zhenhong Jia, Junlin Zhou, Jie Yang, Nikola K. Kasabov
2018	—	`conf`	Spiking Neural Networks for Cancer Gene Expression Time Series Modelling and Analysis. ICONIP (1) Jack Dray, Elisa Capecci, Nikola K. Kasabov
2017	J	`jnl`	A Practical GrabCut Color Image Segmentation Based on Bayes Classification and Simple Linear Iterative Clustering. IEEE Access Dayong Ren, Zhenhong Jia, Jie Yang, Nikola K. Kasabov
2017	J	`jnl`	A spiking neural network model for obstacle avoidance in simulated prosthetic vision. Inf. Sci. Chenjie Ge, Nikola K. Kasabov, Zhi Liu, Jie Yang
2017	—	`conf`	Correlation Filters with Adaptive Memories and Fusion for Visual Tracking. ICONIP (3) Cheng Peng, Fanghui Liu, Haiyan Yang, Jie Yang, Nikola K. Kasabov
2017	—	`conf`	EEG Comparison Between Normal and Developmental Disorder in Perception and Imitation of Facial Expressions with the NeuCube. ICONIP (4) Yuma Omori, Hideaki Kawano, Akinori Seo, Zohreh Gholami Doborjeh, Nikola K. Kasabov, Maryam Gholami Doborjeh
2017	J	`jnl`	Image Processing of Porous Silicon Microarray in Refractive Index Change Detection. Sensors Zhiqing Guo, Zhenhong Jia, Jie Yang, Nikola K. Kasabov, Chuanxi Li
2017	J	`jnl`	Mapping Temporal Variables Into the NeuCube for Improved Pattern Recognition, Predictive Modeling, and Understanding of Stream Data. IEEE Trans. Neural Networks Learn. Syst. Enmei Tu, Nikola K. Kasabov, Jie Yang
2017	J	`jnl`	Mapping, Learning, Visualization, Classification, and Understanding of fMRI Data in the NeuCube Evolving Spatiotemporal Data Machine of Spiking Neural Networks. IEEE Trans. Neural Networks Learn. Syst. Nikola K. Kasabov, Maryam Gholami Doborjeh, Zohreh Gholami Doborjeh
2017	J	`jnl`	New Algorithms for Encoding, Learning and Classification of fMRI Data in a Spiking Neural Network Architecture: A Case on Modeling and Understanding of Dynamic Cognitive Processes. IEEE Trans. Cogn. Dev. Syst. Nikola K. Kasabov, Lei Zhou, Maryam Gholami Doborjeh, Zohreh Gholami Doborjeh, Jie Yang
2017	J	`jnl`	Remote Sensing Image Change Detection Based on NSCT-HMT Model and Its Application. Sensors Pengyun Chen, Yichen Zhang, Zhenhong Jia, Jie Yang, Nikola K. Kasabov
2017	—	`conf`	Robust Kernel Approximation for Classification. ICONIP (1) Fanghui Liu, Xiaolin Huang, Cheng Peng, Jie Yang, Nikola K. Kasabov
2017	J	`jnl`	Spike-time encoding as a data compression technique for pattern recognition of temporal data. Inf. Sci. Neelava Sengupta, Nikola K. Kasabov
2017	J	`jnl`	基于众包的嵌套流形匹配室内定位方法 (Crowdsourcing-based Indoor Localization via Embedded Manifold Matching). 计算机科学 Apeng Zhou, Xizhong Qin, Zhenhong Jia, Nikola K. Kasabov
2016	J	`jnl`	A Graph-Based Semi-Supervised k Nearest-Neighbor Method for Nonlinear Manifold Distributed Data Classification. CoRR Enmei Tu, Yaqian Zhang, Lin Zhu, Jie Yang, Nikola K. Kasabov
2016	J	`jnl`	A Spiking Neural Network Methodology and System for Learning and Comparative Analysis of EEG Data From Healthy Versus Addiction Treated Versus Addiction Not Treated Subjects. IEEE Trans. Biomed. Eng. Maryam Gholami Doborjeh, Grace Y. Wang, Nikola K. Kasabov, Robert Kydd, Bruce Russell
2016	—	`conf`	A Spiking Neural Network for Personalised Modelling of Electrogastrography (EGG). ANNPR Vivienne Breen, Nikola K. Kasabov, Peng Du, Stefan Calder
2016	J	`jnl`	A graph-based semi-supervised k nearest-neighbor method for nonlinear manifold distributed data classification. Inf. Sci. Enmei Tu, Yaqian Zhang, Lin Zhu, Jie Yang, Nikola K. Kasabov
2016	J	`jnl`	Adaptive cow movement detection using evolving spiking neural network models. Evol. Syst. Tao Gao, Nikola K. Kasabov
2016	J	`jnl`	An improved collaborative representation based classification with regularized least square (CRC-RLS) method for robust face recognition. Neurocomputing Yu Cheng, Zhigang Jin, Tao Gao, Hongcai Chen, Nikola K. Kasabov
2016	—	`conf`	Analysis of Similarity and Differences in Brain Activities Between Perception and Production of Facial Expressions Using EEG Data and the NeuCube Spiking Neural Network Architecture. ICONIP (4) Hideaki Kawano, Akinori Seo, Zohreh Gholami Doborjeh, Nikola K. Kasabov, Maryam Gholami Doborjeh
2016	—	`conf`	Cyber fraud detection using evolving spiking neural network. ICIIS Amit Soni Arya, Vadlamani Ravi, Vadali Tejasviram, Neelava Sengupta, Nikola K. Kasabov
2016	—	`conf`	Efficient Recognition of Attentional Bias Using EEG Data and the NeuCube Evolving Spatio-Temporal Data Machine. ICONIP (4) Zohreh Gholami Doborjeh, Maryam Gholami Doborjeh, Nikola K. Kasabov
2016	J	`jnl`	Evolving spatio-temporal data machines based on the NeuCube neuromorphic framework: Design methodology and selected applications. Neural Networks Nikola K. Kasabov, Nathan Matthew Scott, Enmei Tu, Stefan Marks, Neelava Sengupta, Elisa Capecci, Muhaini Othman, Maryam Gholami Doborjeh, Norhanifah Murli, Reggio N. Hartono, Josafath Israel Espinosa Ramos, Lei Zhou, Fahad Bashir Alvi, Grace Y. Wang, Denise Taylor, Valery Feigin, Sergei Gulyaev, Mahmoud S. Mahmoud, Zeng-Guang Hou, Jie Yang
2016	—	`conf`	From von neumann, John Atanasoff and ABC to Neuromorphic computation and the NeuCube spatio-temporal data machine. IEEE Conf. on Intelligent Systems Nikola K. Kasabov, Neelava Sengupta, Nathan Matthew Scott
2016	B	`conf`	Longitudinal study of alzheimer's disease degeneration through EEG data analysis with a NeuCube spiking neural network model. IJCNN Elisa Capecci, Zohreh Gholami Doborjeh, Nadia Mammone, Fabio La Foresta, Francesco Carlo Morabito, Nikola K. Kasabov
2016	J	`jnl`	Mapping Temporal Variables into the NeuCube for Improved Pattern Recognition, Predictive Modelling and Understanding of Stream Data. CoRR Enmei Tu, Nikola K. Kasabov, Jie Yang
2016	J	`jnl`	Network-Based Method for Inferring Cancer Progression at the Pathway Level from Cross-Sectional Mutation Data. IEEE ACM Trans. Comput. Biol. Bioinform. Hao Wu, Lin Gao, Nikola K. Kasabov
2016	B	`conf`	Personalised modelling on integrated clinical and EEG Spatio-Temporal Brain Data in the NeuCube Spiking Neural Network system. IJCNN Maryam Gholami Doborjeh, Nikola K. Kasabov
2016	J	`jnl`	Spiking Neural Networks for Crop Yield Estimation Based on Spatiotemporal Analysis of Image Time Series. IEEE Trans. Geosci. Remote. Sens. Pritam Bose, Nikola K. Kasabov, Lorenzo Bruzzone, Reggio N. Hartono
2016	B	`conf`	Which method to use for optimal structure and function representation of large spiking neural networks: A case study on the NeuCube architecture. IJCNN Anne Abbott, Neelava Sengupta, Nikola K. Kasabov
2015	—	`ch.`	A Feasibility Study of Using the NeuCube Spiking Neural Network Architecture for Modelling Alzheimer's Disease EEG Data. Advances in Neural Networks Elisa Capecci, Francesco Carlo Morabito, Maurizio Campolo, Nadia Mammone, Domenico Labate, Nikola K. Kasabov
2015	J	`jnl`	A medical image enhancement method using adaptive thresholding in NSCT domain combined unsharp masking. Int. J. Imaging Syst. Technol. Lu Liu, Zhenhong Jia, Jie Yang, Nikola K. Kasabov
2015	J	`jnl`	A method used for Dotted Data Matrix image processing. J. Comput. Methods Sci. Eng. Tao Gao, Nikola K. Kasabov
2015	—	`conf`	Abnormal Activity Detection Using Spatio-Temporal Feature and Laplacian Sparse Representation. ICONIP (4) Yu Zhao, Yu Qiao, Jie Yang, Nikola K. Kasabov
2015	—	`conf`	Adaptive Location for Multiple Salient Objects Detection. ICONIP (3) Shaoyong Jia, Yuding Liang, Xianyang Chen, Yun Gu, Jie Yang, Nikola K. Kasabov, Yu Qiao
2015	J	`jnl`	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 Elisa Capecci, Nikola K. Kasabov, Grace Y. Wang
2015	—	`conf`	Dynamic 3D Clustering of Spatio-Temporal Brain Data in the NeuCube Spiking Neural Network Architecture on a Case Study of fMRI Data. ICONIP (4) Maryam Gholami Doborjeh, Nikola K. Kasabov
2015	—	`ch.`	Evolving Connectionist Systems: From Neuro-Fuzzy-, to Spiking- and Neuro-Genetic. Handbook of Computational Intelligence Nikola K. Kasabov
2015	J	`jnl`	Evolving connectionist systems for adaptive learning and knowledge discovery: Trends and directions. Knowl. Based Syst. Nikola K. Kasabov
2015	J	`jnl`	Evolving personalized modeling system for integrated feature, neighborhood and parameter optimization utilizing gravitational search algorithm. Evol. Syst. Wen Liang, Yingjie Hu, Nikola K. Kasabov
2015	J	`jnl`	Identifying overlapping mutated driver pathways by constructing gene networks in cancer. BMC Bioinform. Hao Wu, Lin Gao, Feng Li, Fei Song, Xiaofei Yang, Nikola K. Kasabov
2015	—	`ed.`	Intelligent Systems'2014 - Proceedings of the 7th International Conference Intelligent Systems IEEE IS'2014, September 24-26, 2014, Warsaw, Poland, Volume 1: Mathematical Foundations, Theory, Analyses IEEE Conf. on Intelligent Systems (1) Plamen Angelov, Krassimir T. Atanassov, Lyubka Doukovska, Mincho Hadjiski, Vladimir Simov Jotsov, Janusz Kacprzyk, Nikola K. Kasabov, Sotir Sotirov, Eulalia Szmidt, Slawomir Zadrozny
2015	J	`jnl`	Medical image enhancement algorithm based on NSCT and the improved fuzzy contrast. Int. J. Imaging Syst. Technol. Jing-Jing Wang, Zhenhong Jia, Xizhong Qin, Jie Yang, Nikola K. Kasabov
2015	B	`conf`	Modelling Absence Epilepsy seizure data in the NeuCube evolving spiking neural network architecture. IJCNN Elisa Capecci, Josafath Israel Espinosa Ramos, Nadia Mammone, Nikola K. Kasabov, Jonas Duun-Henriksen, Troels Wesenberg Kjaer, Maurizio Campolo, Fabio La Foresta, Francesco Carlo Morabito
2015	—	`conf`	Poisson Image Denoising Based on BLS-GSM Method. ICONIP (4) Liangdong Li, Nikola K. Kasabov, Jie Yang, Lixiu Yao, Zhenghong Jia
2015	J	`jnl`	Posterior Distribution Learning (PDL): A novel supervised learning framework using unlabeled samples to improve classification performance. Neurocomputing Enmei Tu, Jie Yang, Nikola K. Kasabov, Yaqian Zhang
2015	J	`jnl`	Spiking neural network methodology for modelling, classification and understanding of EEG spatio-temporal data measuring cognitive processes. Inf. Sci. Nikola K. Kasabov, Elisa Capecci
2015	B	`conf`	sEMG-based torque estimation for robot-assisted lower limb rehabilitation. IJCNN Long Peng, Zeng-Guang Hou, Nikola K. Kasabov, Jin Hu, Liang Peng, Weiqun Wang
2014	J	`jnl`	A novel graph-based k-means for nonlinear manifold clustering and representative selection. Neurocomputing Enmei Tu, Longbing Cao, Jie Yang, Nikola K. Kasabov
2014	J	`jnl`	An enhanced multiphase Chan-Vese model for the remote sensing image segmentation. Concurr. Comput. Pract. Exp. Xin Yi, Yingjie Hu, Zhenhong Jia, Liejun Wang, Jie Yang, Nikola K. Kasabov
2014	—	`conf`	Classification and segmentation of fMRI Spatio-Temporal Brain Data with a NeuCube evolving Spiking Neural Network model. EALS Maryam Gholami Doborjeh, Elisa Capecci, Nikola K. Kasabov
2014	—	`conf`	Classification of fMRI Data in the NeuCube Evolving Spiking Neural Network Architecture. ICONIP (1) Norhanifah Murli, Nikola K. Kasabov, Bana Handaga
2014	—	`conf`	EEG-based classification of upper-limb ADL using SNN for active robotic rehabilitation. BioRob Jin Hu, Zeng-Guang Hou, Yixiong Chen, Nikola K. Kasabov, Nathan Matthew Scott
2014	J	`jnl`	Evolving spiking neural networks for personalised modelling, classification and prediction of spatio-temporal patterns with a case study on stroke. Neurocomputing Nikola K. Kasabov, Valery Feigin, Zeng-Guang Hou, Yixiong Chen, Linda Liang, Rita Krishnamurthi, Muhaini Othman, Priya Parmar
2014	B	`conf`	Extracting temporal knowledge from time series: A case study in ecological data. IJCNN Reggio N. Hartono, Russel Pears, Nikola K. Kasabov, Susan P. Worner
2014	B	`conf`	Feasibility of NeuCube SNN architecture for detecting motor execution and motor intention for use in BCIapplications. IJCNN Denise Taylor, Nathan Matthew Scott, Nikola K. Kasabov, Elisa Capecci, Enmei Tu, Nicola Saywell, Yixiong Chen, Jin Hu, Zeng-Guang Hou
2014	B	`conf`	Improved predictive personalized modelling with the use of Spiking Neural Network system and a case study on stroke occurrences data. IJCNN Muhaini Othman, Nikola K. Kasabov, Enmei Tu, Valery Feigin, Rita Krishnamurthi, Zheng-Guang Hou, Yixiong Chen, Jin Hu
2014	B	`conf`	NeuCube IJCNN Enmei Tu, Nikola K. Kasabov, Muhaini Othman, Yuxiao Li, Susan P. Worner, Jie Yang, Zhenghong Jia
2014	J	`jnl`	NeuCube: A spiking neural network architecture for mapping, learning and understanding of spatio-temporal brain data. Neural Networks Nikola K. Kasabov
2014	—	`conf`	Posterior Distribution Learning (PDL): A Novel Supervised Learning Framework. ICONIP (1) Enmei Tu, Jie Yang, Zhenghong Jia, Nikola K. Kasabov
2014	—	`conf`	Unsupervised Segmentation Using Cluster Ensembles. ICONIP (3) Wei Zhang, Jie Yang, Wenjing Jia, Nikola K. Kasabov, Zhenhong Jia, Lei Zhou
2013	C	`ed.`	Artificial Neural Networks and Machine Learning - ICANN 2013 - 23rd International Conference on Artificial Neural Networks, Sofia, Bulgaria, September 10-13, 2013. Proceedings ICANN Valeri M. Mladenov, Petia D. Koprinkova-Hristova, Günther Palm, Alessandro E. P. Villa, Bruno Appollini, Nikola K. Kasabov
2013	J	`jnl`	Evolving integrated multi-model framework for on line multiple time series prediction. Evol. Syst. Russel Pears, Harya Widiputra, Nikola K. Kasabov
2013	J	`jnl`	Evolving spiking neural network - a survey. Evol. Syst. Stefan Schliebs, Nikola K. Kasabov
2013	—	`conf`	NeuCube Neuromorphic Framework for Spatio-temporal Brain Data and Its Python Implementation. ICONIP (3) Nathan Matthew Scott, Nikola K. Kasabov, Giacomo Indiveri
2013	—	`conf`	NeuCubeRehab: A Pilot Study for EEG Classification in Rehabilitation Practice Based on Spiking Neural Networks. ICONIP (3) Yixiong Chen, Jin Hu, Nikola K. Kasabov, Zeng-Guang Hou, Long Cheng
2013	—	`conf`	Salient Object Segmentation Based on Automatic Labeling. ICONIP (3) Lei Zhou, Chen Gong, Yijun Li, Yu Qiao, Jie Yang, Nikola K. Kasabov
2013	—	`conf`	Spatio-temporal EEG Data Classification in the NeuCube 3D SNN Environment: Methodology and Examples. ICONIP (3) Nikola K. Kasabov, Jin Hu, Yixiong Chen, Nathan Matthew Scott, Yulia Turkova
2013	J	`jnl`	Special Issue: Contemporary development of neural computation and applications. Neural Comput. Appl. Ivan Jordanov, Bruno Apolloni, Nikola K. Kasabov
2013	—	`conf`	Spiking Neural Network for On-line Cognitive Activity Classification Based on EEG Data. ICONIP (3) Stefan Schliebs, Elisa Capecci, Nikola K. Kasabov
2013	—	`conf`	The Evolution of the Evolving Neuro-Fuzzy Systems: From Expert Systems to Spiking-, Neurogenetic-, and Quantum Inspired. On Fuzziness (1) Nikola K. Kasabov
2013	—	`conf`	Towards a Wearable Coach: Classifying Sports Activities with Reservoir Computing. EANN (1) Stefan Schliebs, Nikola K. Kasabov, Dave Parry, Doug Hunt
2013	J	`jnl`	Training spiking neural networks to associate spatio-temporal input-output spike patterns. Neurocomputing Ammar Mohemmed, Stefan Schliebs, Satoshi Matsuda, Nikola K. Kasabov
2012	—	`ed.`	2012 IEEE Conference on Evolving and Adaptive Intelligent Systems, EAIS 2012, Madrid, Spain, May 17-18, 2012 EAIS Plamen Angelov, Dimitar P. Filev, Nikola K. Kasabov, José Antonio Iglesias, Germán Gutiérrez
2012	—	`conf`	Constructing Robust Liquid State Machines to Process Highly Variable Data Streams. ICANN (1) Stefan Schliebs, Maurizio Fiasché, Nikola K. Kasabov
2012	—	`conf`	Evaluating SPAN Incremental Learning for Handwritten Digit Recognition. ICONIP (3) Ammar Mohemmed, Guoyu Lu, Nikola K. Kasabov
2012	—	`conf`	Evolving Spiking Neural Networks and Neurogenetic Systems for Spatio- and Spectro-Temporal Data Modelling and Pattern Recognition. WCCI Nikola K. Kasabov
2012	—	`conf`	Evolving spiking neural networks for spatio-and spectro-temporal pattern recognition. IEEE Conf. of Intelligent Systems Nikola K. Kasabov
2012	B	`conf`	Incremental learning algorithm for spatio-temporal spike pattern classification. IJCNN Ammar Mohemmed, Nikola K. Kasabov
2012	J	`jnl`	LDA Merging and Splitting With Applications to Multiagent Cooperative Learning and System Alteration. IEEE Trans. Syst. Man Cybern. Part B Shaoning Pang, Tao Ban, Youki Kadobayashi, Nikola K. Kasabov
2012	—	`conf`	NeuCube EvoSpike Architecture for Spatio-temporal Modelling and Pattern Recognition of Brain Signals. ANNPR Nikola K. Kasabov
2012	B	`conf`	Online spatio-temporal pattern recognition with evolving spiking neural networks utilising address event representation, rank order, and temporal spike learning. IJCNN Kshitij Dhoble, Nuttapod Nuntalid, Giacomo Indiveri, Nikola K. Kasabov
2012	J	`jnl`	Span: Spike Pattern Association Neuron for Learning Spatio-Temporal Spike Patterns. Int. J. Neural Syst. Ammar Mohemmed, Stefan Schliebs, Satoshi Matsuda, Nikola K. Kasabov
2011	B	`conf`	An extended Evolving Spiking Neural Network model for spatio-temporal pattern classification. IJCNN Haza Nuzly Abdull Hamed, Nikola K. Kasabov, Siti Mariyam Shamsuddin, Harya Widiputra, Kshitij Dhoble
2011	B	`conf`	Are probabilistic spiking neural networks suitable for reservoir computing? IJCNN Stefan Schliebs, Ammar Mohemmed, Nikola K. Kasabov
2011	J	`jnl`	Correlation-aided support vector regression for forex time series prediction. Neural Comput. Appl. Shaoning Pang, Lei Song, Nikola K. Kasabov
2011	J	`jnl`	Dynamic Interaction Networks versus Local Trend Models for Multiple Time-Series Prediction. Cybern. Syst. Harya Widiputra, Russel Pears, Nikola K. Kasabov
2011	—	`conf`	EEG Classification with BSA Spike Encoding Algorithm and Evolving Probabilistic Spiking Neural Network. ICONIP (1) Nuttapod Nuntalid, Kshitij Dhoble, Nikola K. Kasabov
2011	—	`conf`	Evolving Probabilistic Spiking Neural Networks for Spatio-temporal Pattern Recognition: A Preliminary Study on Moving Object Recognition. ICONIP (3) Nikola K. Kasabov, Kshitij Dhoble, Nuttapod Nuntalid, Ammar Mohemmed
2011	—	`conf`	Exploring Associations between Changes in Ambient Temperature and Stroke Occurrence: Comparative Analysis Using Global and Personalised Modelling Approaches. ICONIP (1) Wen Liang, Yingjie Hu, Nikola K. Kasabov, Valery Feigin
2011	J	`jnl`	Guest Editorial Special Issue on Computational Modeling of Neural and Brain Development. IEEE Trans. Auton. Ment. Dev. Yaochu Jin, Yan Meng, Juyang Weng, Nikola K. Kasabov
2011	C	`conf`	Method for Training a Spiking Neuron to Associate Input-Output Spike Trains. EANN Ammar Mohemmed, Stefan Schliebs, Satoshi Matsuda, Nikola K. Kasabov
2011	—	`conf`	Modelling the Effect of Genes on the Dynamics of Probabilistic Spiking Neural Networks for Computational Neurogenetic Modelling. CIBB Nikola K. Kasabov, Stefan Schliebs, Ammar Mohemmed
2011	—	`conf`	Multiple Time-Series Prediction through Multiple Time-Series Relationships Profiling and Clustered Recurring Trends. PAKDD (2) Harya Widiputra, Russel Pears, Nikola K. Kasabov
2011	B	`conf`	Optimization of Spiking Neural Networks with dynamic synapses for spike sequence generation using PSO. IJCNN Ammar Mohemmed, Satoshi Matsuda, Stefan Schliebs, Kshitij Dhoble, Nikola K. Kasabov
2011	—	`conf`	Personalised Modelling on SNPs Data for Crohn's Disease Prediction. ICONIP (1) Yingjie Hu, Nikola K. Kasabov
2011	J	`jnl`	Personalized mode transductive spanning SVM classification tree. Inf. Sci. Shaoning Pang, Tao Ban, Youki Kadobayashi, Nikola K. Kasabov
2011	J	`jnl`	Probabilistic Computational Neurogenetic Modeling: From Cognitive Systems to Alzheimer's Disease. IEEE Trans. Auton. Ment. Dev. Nikola K. Kasabov, Reinhard Schliebs, Hiroshi Kojima
2011	—	`conf`	Reservoir-Based Evolving Spiking Neural Network for Spatio-temporal Pattern Recognition. ICONIP (2) Stefan Schliebs, Haza Nuzly Abdull Hamed, Nikola K. Kasabov
2011	—	`conf`	SPAN: A Neuron for Precise-Time Spike Pattern Association. ICONIP (2) Ammar Mohemmed, Stefan Schliebs, Nikola K. Kasabov
2010	B	`conf`	Analyzing the dynamics of the simultaneous feature and parameter optimization of an evolving Spiking Neural Network. IJCNN Stefan Schliebs, Michael Defoin-Platel, Nikola K. Kasabov
2010	—	`ch.`	Brain-Like Evolving Spiking Neural Networks for Multimodal Information Processing. Brain-Inspired Information Technology Simei Gomes Wysoski, Lubica Benuskova, Nikola K. Kasabov
2010	J	`jnl`	Editorial. Evol. Syst. Plamen Angelov, Dimitar P. Filev, Nikola K. Kasabov
2010	—	`ch.`	Effective and Adaptive Learning Based on Diversive/Specific Curiosity. Brain-Inspired Information Technology Naoki Shimo, Shaoning Pang, Keiichi Horio, Nikola K. Kasabov, Hakaru Tamukoh, Takanori Koga, Satoshi Sonoh, Hirohisa Isogai, Takeshi Yamakawa
2010	—	`conf`	Evolving Integrative Brain-, Gene-, and Quantum Inspired Systems for Computational Intelligence and Knowledge Engineering. KES (1) Nikola K. Kasabov
2010	J	`jnl`	Evolving spiking neural networks for audiovisual information processing. Neural Networks Simei Gomes Wysoski, Lubica Benuskova, Nikola K. Kasabov
2010	—	`conf`	Factorizing Class Characteristics via Group MEBs Construction. ICONIP (2) Ye Chen, Shaoning Pang, Nikola K. Kasabov
2010	B	`conf`	Incremental and decremental LDA learning with applications. IJCNN Shaoning Pang, Tao Ban, Youki Kadobayashi, Nikola K. Kasabov
2010	J	`jnl`	Incremental linear discriminant analysis for evolving feature spaces in multitask pattern recognition problems. Evol. Syst. Masayuki Hisada, Seiichi Ozawa, Kau Zhang, Nikola K. Kasabov
2010	J	`jnl`	Integrated optimisation method for personalised modelling and case studies for medical decision support. Int. J. Funct. Informatics Pers. Medicine Nikola K. Kasabov, Yingjie Hu
2010	—	`ch.`	Integrative Probabilistic Evolving Spiking Neural Networks Utilising Quantum Inspired Evolutionary Algorithm: A Computational Framework. Advances in Machine Learning II Nikola K. Kasabov
2010	J	`jnl`	Knowledge Extraction from Evolving Spiking Neural Networks with Rank Order Population Coding. Int. J. Neural Syst. Snjezana Soltic, Nikola K. Kasabov
2010	J	`jnl`	On the Probabilistic Optimization of Spiking Neural Networks. Int. J. Neural Syst. Stefan Schliebs, Nikola K. Kasabov, Michael Defoin-Platel
2010	J	`jnl`	Personalized Modeling Based Gene Selection for Acute GvHD Gene Expression Data Analysis: A Computational Framework Proposed. Aust. J. Intell. Inf. Process. Syst. Maurizio Fiasché, Maria Cuzzola, Pasquale Iacopino, Nikola K. Kasabov, Francesco Carlo Morabito
2010	J	`jnl`	Probabilistic Evolving Spiking Neural Network Optimization Using Dynamic Quantum-inspired Particle Swarm Optimization. Aust. J. Intell. Inf. Process. Syst. Haza Nuzly Abdull Hamed, Nikola K. Kasabov, Siti Mariyam Shamsuddin
2010	J	`jnl`	To spike or not to spike: A probabilistic spiking neuron model. Neural Networks Nikola K. Kasabov
2010	—	`conf`	Towards Spatio-Temporal Pattern Recognition Using Evolving Spiking Neural Networks. ICONIP (1) Stefan Schliebs, Nuttapod Nuntalid, Nikola K. Kasabov
2010	—	`conf`	Tuning N-gram String Kernel SVMs via Meta Learning. ICONIP (2) Nuwan Gunasekara, Shaoning Pang, Nikola K. Kasabov
2009	—	`conf`	A Novel Evolving Clustering Algorithm with Polynomial Regression for Chaotic Time-Series Prediction. ICONIP (2) Harya Widiputra, Henry Kho, Lukas, Russel Pears, Nikola K. Kasabov
2009	B	`conf`	Adaptive incremental principal component analysis in nonstationary online learning environments. IJCNN Seiichi Ozawa, Yuki Kawashima, Shaoning Pang, Nikola K. Kasabov
2009	—	`ed.`	Advances in Neuro-Information Processing, 15th International Conference, ICONIP 2008, Auckland, New Zealand, November 25-28, 2008, Revised Selected Papers, Part I ICONIP (1) Mario Köppen, Nikola K. Kasabov, George G. Coghill
2009	—	`ed.`	Advances in Neuro-Information Processing, 15th International Conference, ICONIP 2008, Auckland, New Zealand, November 25-28, 2008, Revised Selected Papers, Part II ICONIP (2) Mario Köppen, Nikola K. Kasabov, George G. Coghill
2009	—	`conf`	Coevolutionary Method for Gene Selection and Parameter Optimization in Microarray Data Analysis. ICONIP (2) Yingjie Hu, Nikola K. Kasabov
2009	B	`conf`	Curiosity driven incremental LDA agent active learning. IJCNN Shaoning Pang, Seiichi Ozawa, Nikola K. Kasabov
2009	—	`conf`	Discovering Diagnostic Gene Targets and Early Diagnosis of Acute GVHD Using Methods of Computational Intelligence over Gene Expression Data. ICANN (2) Maurizio Fiasché, Anju Verma, Maria Cuzzola, Pasquale Iacopino, Nikola K. Kasabov, Francesco Carlo Morabito
2009	J	`jnl`	Dynamic interaction networks in modelling and predicting the behaviour of multiple interactive stock markets. Intell. Syst. Account. Finance Manag. Harya Widiputra, Russel Pears, Antoaneta Serguieva, Nikola K. Kasabov
2009	J	`jnl`	Encoding and decoding the knowledge of association rules over SVM classification trees. Knowl. Inf. Syst. Shaoning Pang, Nikola K. Kasabov
2009	—	`conf`	Hierarchical Core Vector Machines for Network Intrusion Detection. ICONIP (2) Ye Chen, Shaoning Pang, Nikola K. Kasabov, Tao Ban, Youki Kadobayashi
2009	—	`conf`	Integrated Feature Selection and Parameter Optimization for Evolving Spiking Neural Networks Using Quantum Inspired Particle Swarm Optimization. SoCPaR Haza Nuzly Abdull Hamed, Nikola K. Kasabov, Siti Mariyam Shamsuddin
2009	J	`jnl`	Integrated feature and parameter optimization for an evolving spiking neural network: Exploring heterogeneous probabilistic models. Neural Networks Stefan Schliebs, Michael Defoin-Platel, Susan P. Worner, Nikola K. Kasabov
2009	J	`jnl`	Integrative connectionist learning systems inspired by nature: current models, future trends and challenges. Nat. Comput. Nikola K. Kasabov
2009	J	`jnl`	Ontology Based Personalized Modeling for Chronic Disease Risk Analysis: An Integrated Approach. Aust. J. Intell. Inf. Process. Syst. Anju Verma, Nikola K. Kasabov, Elaine Rush, Qun Song
2009	—	`conf`	Ontology Based Personalized Modeling for Type 2 Diabetes Risk Analysis: An Integrated Approach. ICONIP (2) Anju Verma, Maurizio Fiasché, Maria Cuzzola, Pasquale Iacopino, Francesco Carlo Morabito, Nikola K. Kasabov
2009	J	`jnl`	Quantum-Inspired Evolutionary Algorithm: A Multimodel EDA. IEEE Trans. Evol. Comput. Michael Defoin-Platel, Stefan Schliebs, Nikola K. Kasabov
2009	B	`conf`	Quantum-inspired feature and parameter optimisation of evolving spiking neural networks with a case study from ecological modeling. IJCNN Stefan Schliebs, Michael Defoin-Platel, Susan P. Worner, Nikola K. Kasabov
2009	—	`conf`	Spanning SVM Tree for Personalized Transductive Learning. ICANN (1) Shaoning Pang, Tao Ban, Youki Kadobayashi, Nikola K. Kasabov
2009	—	`conf`	String Kernel Based SVM for Internet Security Implementation. ICONIP (2) Zbynek Michlovský, Shaoning Pang, Nikola K. Kasabov, Tao Ban, Youki Kadobayashi
2009	—	`conf`	String Pattern Recognition Using Evolving Spiking Neural Networks and Quantum Inspired Particle Swarm Optimization. ICONIP (2) Haza Nuzly Abdull Hamed, Nikola K. Kasabov, Zbynek Michlovský, Siti Mariyam Hj. Shamsuddin
2008	—	`conf`	A Novel Incremental Linear Discriminant Analysis for Multitask Pattern Recognition Problems. ICONIP (1) Masayuki Hisada, Seiichi Ozawa, Kau Zhang, Shaoning Pang, Nikola K. Kasabov
2008	J	`jnl`	Adaptive modeling and discovery in bioinformatics: The evolving connectionist approach. Int. J. Intell. Syst. Nikola K. Kasabov
2008	J	`jnl`	Evolving Intelligence in Humans and Machines: Integrative Evolving Connectionist Systems Approach. IEEE Comput. Intell. Mag. Nikola K. Kasabov
2008	B	`conf`	Evolving spiking neural networks for taste recognition. IJCNN Snjezana Soltic, Simei Gomes Wysoski, Nikola K. Kasabov
2008	J	`jnl`	Fast and adaptive network of spiking neurons for multi-view visual pattern recognition. Neurocomputing Simei Gomes Wysoski, Lubica Benusková, Nikola K. Kasabov
2008	J	`jnl`	Guest Editorial Evolving Fuzzy Systems - Preface to the Special Section. IEEE Trans. Fuzzy Syst. Plamen Angelov, Dimitar P. Filev, Nikola K. Kasabov
2008	J	`jnl`	Incremental Learning of Chunk Data for Online Pattern Classification Systems. IEEE Trans. Neural Networks Seiichi Ozawa, Shaoning Pang, Nikola K. Kasabov
2008	—	`conf`	Incremental Principal Component Analysis Based on Adaptive Accumulation Ratio. ICONIP (1) Seiichi Ozawa, Kazuya Matsumoto, Shaoning Pang, Nikola K. Kasabov
2008	—	`conf`	Integrated Feature and Parameter Optimization for an Evolving Spiking Neural Network. ICONIP (1) Stefan Schliebs, Michael Defoin-Platel, Nikola K. Kasabov
2008	—	`ch.`	Integrating Local and Personalised Modelling with Global Ontology Knowledge Bases for Biomedical and Bioinformatics Decision Support. Computational Intelligence in Biomedicine and Bioinformatics Nikola K. Kasabov, Qun Song, Lubica Benuskova, Paulo C. M. Gottgtroy, Vishal Jain, Anju Verma, Ilkka Havukkala, Elaine Rush, Russel Pears, Alex Tjahjana, Yingjie Hu, Stephen G. MacDonell
2008	J	`jnl`	Integrating evolving brain-gene ontology and connectionist-based system for modeling and knowledge discovery. Neural Networks Nikola K. Kasabov, Vishal Jain, Lubica Benuskova
2008	—	`ch.`	Integration of Brain-Gene Ontology and Simulation Systems for Learning, Modelling and Discovery. Computational Intelligence in Medical Informatics Nikola K. Kasabov, Vishal Jain, Lubica Benuskova, Paulo C. M. Gottgtroy, Frances Joseph
2008	—	`conf`	Integrative Probabilistic Evolving Spiking Neural Networks Utilising Quantum Inspired Evolutionary Algorithm: A Computational Framework. ICONIP (1) Nikola K. Kasabov
2008	B	`conf`	MUFIS: A neuro-fuzzy inference system using multiple types of fuzzy rules. FUZZ-IEEE Yuan-Chun Hwang, Qun Song, Nikola K. Kasabov
2008	—	`conf`	Ontology Based Personalized Modeling for Chronic Disease Risk Analysis: An Integrated Approach. ICONIP (1) Anju Verma, Nikola K. Kasabov, Elaine Rush, Qun Song
2008	—	`conf`	Personalised Modelling for Multiple Time-Series Data Prediction: A Preliminary Investigation in Asia Pacific Stock Market Indexes Movement. ICONIP (1) Harya Widiputra, Russel Pears, Nikola K. Kasabov
2008	—	`conf`	Personalized Modeling Based Gene Selection for Microarray Data Analysis. ICONIP (1) Yingjie Hu, Qun Song, Nikola K. Kasabov
2008	—	`ch.`	SVMT-Rule: Association Rule Mining Over SVM Classification Trees. Rule Extraction from Support Vector Machines Shaoning Pang, Nikola K. Kasabov
2008	J	`jnl`	Soft computing methods to predict gene regulatory networks: An integrative approach on time-series gene expression data. Appl. Soft Comput. Zeke S. H. Chan, Ilkka Havukkala, Vishal Jain, Yingjie Hu, Nikola K. Kasabov
2008	—	`conf`	Vision Based Mobile Robot for Indoor Environmental Security. ICONIP (1) Sean W. Gordon, Shaoning Pang, Ryota Nishioka, Nikola K. Kasabov, Takeshi Yamakawa
2008	B	`conf`	r-SVMT: Discovering the knowledge of association rule over SVM classification trees. IJCNN Shaoning Pang, Nikola K. Kasabov
2007	C	`ed.`	7th International Conference on Hybrid Intelligent Systems, HIS 2007, Kaiserslautern, Germany, September 17-19, 2007 HIS Andreas König, Mario Köppen, Nikola K. Kasabov, Ajith Abraham
2007	B	`conf`	A versatile quantum-inspired evolutionary algorithm. IEEE Congress on Evolutionary Computation Michael Defoin-Platel, Stefan Schliebs, Nikola K. Kasabov
2007	—	`conf`	Adaptive Face Recognition System Using Fast Incremental Principal Component Analysis. ICONIP (2) Seiichi Ozawa, Shaoning Pang, Nikola K. Kasabov
2007	—	`conf`	Adaptive Spiking Neural Networks for Audiovisual Pattern Recognition. ICONIP (2) Simei Gomes Wysoski, Lubica Benuskova, Nikola K. Kasabov
2007	J	`jnl`	Bayesian learning of sparse gene regulatory networks. Biosyst. Zeke S. H. Chan, Lesley Collins, Nikola K. Kasabov
2007	J	`jnl`	Brain Gene Ontology and Simulation System (bgos) for a Better Understanding of the Brain. Cybern. Syst. Nikola K. Kasabov, Vishal Jain, Paulo C. M. Gottgtroy, Lubica Benuskova, Frances Joseph
2007	—	`ch.`	Brain-, Gene-, and Quantum Inspired Computational Intelligence: Challenges and Opportunities. Challenges for Computational Intelligence Nikola K. Kasabov
2007	J	`jnl`	Classification consistency analysis for bootstrapping gene selection. Neural Comput. Appl. Shaoning Pang, Ilkka Havukkala, Yingjie Hu, Nikola K. Kasabov
2007	B	`conf`	Evolving Brain-Gene Ontology System (EBGOS): Towards Integrating Bioinformatics and Neuroinformatics Data to Facilitate Discoveries. IJCNN Nikola K. Kasabov, Vishal Jain, Paulo C. M. Gottgtroy, Lubica Benuskova, Simei Gomes Wysoski, Frances Joseph
2007	—	`conf`	Evolving Connectionist Systems for Adaptive Sport Coaching. ICONIP (2) Boris Bacic, Nikola K. Kasabov, Stephen G. MacDonell, Shaoning Pang
2007	C	`conf`	Evolving Connectionist and Hybrid Systems: Methods, Tools, Applications. HIS Nikola K. Kasabov
2007	—	`book`	Evolving connectionist systems - the knowledge engineering approach (2. ed.). Nikola K. Kasabov
2007	J	`jnl`	Global, local and personalised modeling and pattern discovery in bioinformatics: An integrated approach. Pattern Recognit. Lett. Nikola K. Kasabov
2007	J	`jnl`	Modeling L-LTP based on changes in concentration of pCREB transcription factor. Neurocomputing Lubica Benuskova, Nikola K. Kasabov
2007	—	`conf`	Ontology-Based Framework for Personalized Diagnosis and Prognosis of Cancer Based on Gene Expression Data. ICONIP (2) Yingjie Hu, Nikola K. Kasabov
2007	—	`conf`	Text-Independent Speaker Authentication with Spiking Neural Networks. ICANN (2) Simei Gomes Wysoski, Lubica Benuskova, Nikola K. Kasabov
2006	C	`ed.`	6th International Conference on Hybrid Intelligent Systems (HIS 2006), 13-15 December 2006, Auckland, New Zealand HIS Nikola K. Kasabov, Mario Köppen, Andreas König, Ajith Abraham, Qun Song
2006	J	`jnl`	A two-stage methodology for gene regulatory network extraction from time-course gene expression data. Expert Syst. Appl. Zeke S. H. Chan, Nikola K. Kasabov, Lesley Collins
2006	J	`jnl`	Adaptation and interaction in dynamical systems: Modelling and rule discovery through evolving connectionist systems. Appl. Soft Comput. Nikola K. Kasabov
2006	B	`conf`	Adaptive Learning Procedure for a Network of Spiking Neurons and Visual Pattern Recognition. ACIVS Simei Gomes Wysoski, Lubica Benuskova, Nikola K. Kasabov
2006	B	`conf`	An Incremental Principal Component Analysis for Chunk Data. FUZZ-IEEE Seiichi Ozawa, Shaoning Pang, Nikola K. Kasabov
2006	J	`jnl`	An efficient greedy K-means algorithm for global gene trajectory clustering. Expert Syst. Appl. Zeke S. H. Chan, Lesley Collins, Nikola K. Kasabov
2006	C	`conf`	Brain-Gene Ontology: Integrating Bioinformatics and Neuroinformatics Data, Information and Knowledge to Enable Discoveries. HIS Nikola K. Kasabov, Vishal Jain, Paulo C. M. Gottgtroy, Lubica Benuskova, Frances Joseph
2006	B	`conf`	Computational Neurogenetic Modeling: A Methodology to Study Gene Interactions Underlying Neural Oscillations. IJCNN Lubica Benuskova, Simei Gomes Wysoski, Nikola K. Kasabov
2006	J	`jnl`	Computational Neurogenetic Modelling: a Pathway to New Discoveries in Genetic Neuroscience. Int. J. Neural Syst. Lubica Benuskova, Vishal Jain, Simei Gomes Wysoski, Nikola K. Kasabov
2006	—	`ch.`	Evolving ontologies for intelligent decision support. Fuzzy Logic and the Semantic Web Paulo C. M. Gottgtroy, Nikola K. Kasabov, Stephen G. MacDonell
2006	—	`conf`	Image and Fractal Information Processing for Large-Scale Chemoinformatics, Genomics Analyses and Pattern Discovery. PRIB Ilkka Havukkala, Lubica Benuskova, Shaoning Pang, Vishal Jain, Rene Kroon, Nikola K. Kasabov
2006	J	`jnl`	Incremental learning of feature space and classifier for on-line pattern recognition. Int. J. Knowl. Based Intell. Eng. Syst. Seiichi Ozawa, Shaoning Pang, Nikola K. Kasabov
2006	J	`jnl`	Integrating regression formulas and kernel functions into locally adaptive knowledge-based neural networks: A case study on renal function evaluation. Artif. Intell. Medicine Qun Song, Nikola K. Kasabov, Tianmin Ma, Mark Roger Marshall
2006	—	`conf`	Investigating LLE Eigenface on Pose and Face Identification. ISNN (2) Shaoning Pang, Nikola K. Kasabov
2006	—	`conf`	On-Line Learning with Structural Adaptation in a Network of Spiking Neurons for Visual Pattern Recognition. ICANN (1) Simei Gomes Wysoski, Lubica Benuskova, Nikola K. Kasabov
2006	J	`jnl`	Short-term ANN load forecasting from limited data using generalization learning strategies. Neurocomputing Zeke S. H. Chan, H. W. Ngan, Ahmad B. Rad, A. K. David, Nikola K. Kasabov
2006	C	`conf`	TTLSC - Transductive Total Least Square Model for Classification and Its Application in Medicine. ADMA Qun Song, Tianmin Ma, Nikola K. Kasabov
2006	J	`jnl`	TWNFI - a transductive neuro-fuzzy inference system with weighted data normalization for personalized modeling. Neural Networks Qun Song, Nikola K. Kasabov
2006	—	`conf`	Two-Class SVM Trees (2-SVMT) for Biomarker Data Analysis. ISNN (2) Shaoning Pang, Ilkka Havukkala, Nikola K. Kasabov
2005	J	`jnl`	A Hybrid Genetic Algorithm and Expectation Maximization Method for Global Gene Trajectory Clustering. J. Bioinform. Comput. Biol. Zeke S. H. Chan, Nikola K. Kasabov, Lesley Collins
2005	J	`jnl`	A Preliminary Study on Negative Correlation Learning via Correlation-Corrected Data (NCCD). Neural Process. Lett. Zeke S. H. Chan, Nikola K. Kasabov
2005	B	`conf`	A computational neurogenetic model of a spiking neuron. IJCNN Nikola K. Kasabov, Lubica Benuskova, Simei Gomes Wysoski
2005	J	`jnl`	An Integrated Feature Selection and Classification Method to Select Minimum Number of Variables on the Case Study of Gene Expression Data. J. Bioinform. Comput. Biol. Liang Goh, Nikola K. Kasabov
2005	—	`conf`	Chunk Incremental LDA Computing on Data Streams. ISNN (2) Shaoning Pang, Seiichi Ozawa, Nikola K. Kasabov
2005	—	`conf`	Computational Intelligence for Bioinformatics: The Knowledge Engineering Approach. SGAI Conf. Nikola K. Kasabov
2005	—	`conf`	Computational Neurogenetic Modeling: Integration of Spiking Neural Networks, Gene Networks, and Signal Processing Techniques. ICANN (2) Nikola K. Kasabov, Lubica Benuskova, Simei Gomes Wysoski
2005	—	`conf`	Evolving Connectionist Systems Based Role Allocation of Robots for Soccer Playing. ISIC L. Huang, Qun Song, Nikola K. Kasabov
2005	—	`conf`	Fast Estimation of Distribution Algorithm (EDA) via Constrained Multi-Parent Recombination. SGAI Conf. Zeke S. H. Chan, Nikola K. Kasabov
2005	J	`jnl`	Fast neural network ensemble learning via negative-correlation data correction. IEEE Trans. Neural Networks Zeke S. H. Chan, Nikola K. Kasabov
2005	—	`conf`	Global EM Learning of Finite Mixture Models using the Greedy Elimination Method. SGAI Conf. Zeke S. H. Chan, Nikola K. Kasabov
2005	B	`conf`	Incremental learning for online face recognition. IJCNN Seiichi Ozawa, Soon Lee Toh, Shigeo Abe, Shaoning Pang, Nikola K. Kasabov
2005	J	`jnl`	Incremental learning of feature space and classifier for face recognition. Neural Networks Seiichi Ozawa, Soon Lee Toh, Shigeo Abe, Shaoning Pang, Nikola K. Kasabov
2005	J	`jnl`	Incremental linear discriminant analysis for classification of data streams. IEEE Trans. Syst. Man Cybern. Part B Shaoning Pang, Seiichi Ozawa, Nikola K. Kasabov
2005	B	`ed.`	Intelligent Agents and Multi-Agent Systems, 7th Pacific Rim International Workshop on Multi-Agents, PRIMA 2004, Auckland, New Zealand, August 8-13, 2004, Revised Selected Papers PRIMA Mike Barley, Nikola K. Kasabov
2005	J	`jnl`	Introduction. Int. J. Neural Syst. Nikola K. Kasabov, Hojjat Adeli, Nikhil R. Pal
2005	J	`jnl`	NFI: a neuro-fuzzy inference method for transductive reasoning. IEEE Trans. Fuzzy Syst. Qun Song, Nikola K. Kasabov
2005	—	`conf`	TWNFC - Transductive Neural-Fuzzy Classifier with Weighted Data Normalization and Its Application in Medicine. CIMCA/IAWTIC Tianmin Ma, Qun Song, Nikola K. Kasabov, Mark Roger Marshall
2005	—	`conf`	Transductive Knowledge Based Fuzzy Inference System for Personalized Modeling. FSKD (2) Qun Song, Tianmin Ma, Nikola K. Kasabov
2005	B	`conf`	Transductive modeling with GA parameter optimization. IJCNN Nisha Mohan, Nikola K. Kasabov
2004	J	`jnl`	A Methodology and a System for Adaptive, Integrated Speech and Image Learning and Recognition. Int. J. Comput. Syst. Signals Akbar Ghobakhlou, Nikola K. Kasabov
2004	B	`conf`	A Modified Incremental Principal Component Analysis for On-Line Learning of Feature Space and Classifier. PRICAI Seiichi Ozawa, Shaoning Pang, Nikola K. Kasabov
2004	B	`conf`	A Novel Feature Selection Method to Improve Classification of Gene Expression Data. APBC Liang Goh, Qun Song, Nikola K. Kasabov
2004	B	`conf`	An Evolving Neural Network Model for Person Verification Combining Speech and Image. ICONIP Akbar Ghobakhlou, David Zhang, Nikola K. Kasabov
2004	C	`conf`	An adaptive model of person identification combining speech and image information. ICARCV David Zhang, Akbar Ghobakhlou, Nikola K. Kasabov
2004	B	`conf`	Computational neurogenetic modelling: gene networks within neural networks. IJCNN Nikola K. Kasabov, Lubica Benuskova, Simei Gomes Wysoski
2004	C	`conf`	Discovering Rules of Adaptation and Interaction: From Molecules and Gene Interaction to Brain Functions. HIS Nikola K. Kasabov
2004	B	`conf`	Dynamic Neuro-fuzzy Inference and Statistical Models for Risk Analysis of Pest Insect Establishment. ICONIP Snjezana Soltic, Shaoning Pang, Nikola K. Kasabov, Susan P. Worner, Lora Peacock
2004	J	`jnl`	Editorial. Int. J. Comput. Syst. Signals Nikola K. Kasabov, Shaoning Pang
2004	J	`jnl`	Evolutionary Computation For On-Line And Off-Line Parameter Tuning Of Evolving Fuzzy Neural Networksc. Int. J. Comput. Intell. Appl. Zeke S. H. Chan, Nikola K. Kasabov
2004	B	`conf`	Gene Regulatory Network Discovery from Time-Series Gene Expression Data - A Computational Intelligence Approach. ICONIP Nikola K. Kasabov, Zeke S. H. Chan, Vishal Jain, Igor Sidorov, Dimiter S. Dimitrov
2004	B	`conf`	Gene trajectory clustering with a hybrid genetic algorithm and expectation maximization method. IJCNN Zeke S. H. Chan, Nikola K. Kasabov
2004	B	`conf`	Inductive vs transductive inference, global vs local models: SVM, TSVM, and SVMT for gene expression classification problems. IJCNN Shaoning Pang, Nikola K. Kasabov
2004	B	`ed.`	Neural Information Processing, 11th International Conference, ICONIP 2004, Calcutta, India, November 22-25, 2004, Proceedings ICONIP Nikhil R. Pal, Nikola K. Kasabov, Rajani K. Mudi, Srimanta Pal, Swapan K. Parui
2004	—	`conf`	One-Pass Incremental Membership Authentication by Face Classification. ICBA Shaoning Pang, Seiichi Ozawa, Nikola K. Kasabov
2004	B	`conf`	TWRBF - Transductive RBF Neural Network with Weighted Data Normalization. ICONIP Qun Song, Nikola K. Kasabov
2004	B	`conf`	WDN-RBF: weighted data normalization for radial basic function type neural networks. IJCNN Qun Song, Nikola K. Kasabov
2003	B	`conf`	A Generic Connectionist-Based Method for On-Line Feature Selection and Modelling with a Case Study of Gene Expression Data Analysis. APBC Nikola K. Kasabov, Melanie Middlemiss, T. Lane
2003	J	`jnl`	Adaptive speech recognition with evolving connectionist systems. Inf. Sci. Akbar Ghobakhlou, Michael J. Watts, Nikola K. Kasabov
2003	B	`conf`	Evolutionary computation for dynamic parameter optimisation of evolving connectionist systems for on-line prediction of time series with changing dynamics. IJCNN Nikola K. Kasabov, Qun Song, Ikuko Nishikanawa
2003	J	`jnl`	Evolving connectionist systems for knowledge discovery from gene expression data of cancer tissue. Artif. Intell. Medicine Matthias E. Futschik, Anthony Reeve, Nikola K. Kasabov
2003	B	`conf`	Integrated gene expression analysis of multiple microarray data sets based on a normalization technique and on adaptive connectionist model. IJCNN Liang Goh, Nikola K. Kasabov
2003	J	`jnl`	Modeling the emergence of bilingual acoustic clusters: a preliminary case study. Inf. Sci. Mark R. Laws, Richard Kilgour, Nikola K. Kasabov
2003	B	`conf`	Neural systems for solving the inverse problem of recovering the primary signal waveform in potential transformers. IJCNN Nikola K. Kasabov, Gancho Venkov, Stefan Minchev
2003	J	`jnl`	On-line pattern analysis by evolving self-organizing maps. Neurocomputing Da Deng, Nikola K. Kasabov
2003	J	`jnl`	Reduced feature-set based parallel CHMM speech recognition systems. Inf. Sci. Waleed H. Abdulla, Nikola K. Kasabov
2003	J	`jnl`	Simulation of ECB decisions and forecast of short term Euro rate with an adaptive fuzzy expert system. Eur. J. Oper. Res. Lorenzo Rizzi, Flavio Bazzana, Nikola K. Kasabov, Mario Fedrizzi, Luca Erzegovesi
2003	J	`jnl`	Spoken language analysis, modeling and recognition - Cstatistical and adaptive connectionist approaches. Inf. Sci. Nikola K. Kasabov
2002	J	`jnl`	DENFIS: dynamic evolving neural-fuzzy inference system and its application for time-series prediction. IEEE Trans. Fuzzy Syst. Nikola K. Kasabov, Qun Song
2002	B	`conf`	Evolutionary optimisation of evolving connectionist systems. IEEE Congress on Evolutionary Computation Michael J. Watts, Nikola K. Kasabov
2002	B	`conf`	Fuzzy clustering of gene expression data. FUZZ-IEEE Matthias E. Futschik, Nikola K. Kasabov
2001	—	`conf`	An evolving localised learning model for on-line image colour quantisation. ICIP (1) Da Deng, Nikola K. Kasabov
2001	B	`conf`	Dynamic optimisation of evolving connectionist system training parameters by pseudo-evolution strategy. CEC Michael J. Watts, Nikola K. Kasabov
2001	B	`conf`	Ensembles of EFuNNs: An Architecture for a Mutlimodule Classifier. FUZZ-IEEE Brendon J. Woodford, Nikola K. Kasabov
2001	J	`jnl`	Evolving fuzzy neural networks for supervised/unsupervised online knowledge-based learning. IEEE Trans. Syst. Man Cybern. Part B Nikola K. Kasabov
2001	J	`jnl`	On-line learning, reasoning, rule extraction and aggregation in locally optimized evolving fuzzy neural networks. Neurocomputing Nikola K. Kasabov
2001	J	`jnl`	Rule Extraction from Fuzzy Neural Networks FuNN: A Method and a Real-World Application. J. Adv. Comput. Intell. Intell. Informatics Nikola K. Kasabov, Jaesoo Kim, Robert Kozma, Tico Cohen
2000	J	`jnl`	AVIS: a connectionist-based framework for integrated auditory and visual information processing. Inf. Sci. Nikola K. Kasabov, Eric O. Postma, H. Jaap van den Herik
2000	—	`conf`	ESOM: An Algorithm to Evolve Self-Organizing Maps from On-Line Data Streams. IJCNN (6) Da Deng, Nikola K. Kasabov
2000	B	`conf`	Evolving Fuzzy Neural Network for Camera Operations Recognition. ICPR Irena Koprinska, Nikola K. Kasabov
2000	—	`conf`	Hybrid System for Robust Recognition of Noisy Speech Based on Evolving Fuzzy Neural Networks and Adaptive Filtering. IJCNN (5) Nikola K. Kasabov, Georgi Iliev
2000	J	`jnl`	Methods and systems for intelligent human-computer interaction. Inf. Sci. Nikola K. Kasabov, Robert Kozma
2000	J	`jnl`	The Application of Hybrid Evolving Connectionist Systems to Image Classification. J. Adv. Comput. Intell. Intell. Informatics Nikola K. Kasabov, Steven A. Israel, Brendon J. Woodford
1999	B	`conf`	Evolving connectionist systems: A theory and a case study on adaptive speech recognition. IJCNN Nikola K. Kasabov
1999	J	`jnl`	From hybrid adjustable neuro-fuzzy systems to adaptive connectionist-based systems for phoneme and word recognition. Fuzzy Sets Syst. Nikola K. Kasabov, Richard Kilgour, S. J. Sinclair
1999	J	`jnl`	HyFIS: adaptive neuro-fuzzy inference systems and their application to nonlinear dynamical systems. Neural Networks Jaesoo Kim, Nikola K. Kasabov
1998	B	`conf`	ECOS: Evolving Connectionist Systems and the ECO Learning Paradigm. ICONIP Nikola K. Kasabov
1998	J	`jnl`	Editorial: Self-Organization and Adaptation in Intelligent Systems. J. Adv. Comput. Intell. Intell. Informatics Nikola K. Kasabov, Robert Kozma
1998	B	`conf`	Enhancing recognition systems through an integrated processing of visual and audio information. SMC Eric O. Postma, Nikola K. Kasabov, H. Jaap van den Herik
1998	B	`conf`	Evolving Connectionist Systems and Evolving Brains. ICONIP Nikola K. Kasabov
1998	B	`conf`	Genetic Algorithms for the Design of Fuzzy Neural Networks. ICONIP Michael J. Watts, Nikola K. Kasabov
1998	J	`jnl`	Hybrid intelligent adaptive systems: A framework and a case study on speech recognition. Int. J. Intell. Syst. Nikola K. Kasabov, Robert Kozma
1998	J	`jnl`	Integration of connectionist methods and chaotic time-series analysis for the prediction of process data. Int. J. Intell. Syst. Robert Kozma, Nikola K. Kasabov, Jaesoo Kim, Tico Cohen
1998	J	`jnl`	Introduction: Hybrid intelligent adaptive systems. Int. J. Intell. Syst. Nikola K. Kasabov, Robert Kozma
1998	J	`jnl`	Phoneme-Based Speech Recognition via Fuzzy Neural Networks Modeling and Learning. Inf. Sci. Nikola K. Kasabov, Robert Kozma, Michael J. Watts
1998	—	`ed.`	Progress in Connectionist-Based Information Systems: Proceedings of the 1997 International Conference on Neural Information Processing and Intelligent Information Systems, ICONIP 1997, Volume I, Dunedin, New Zealand, 24-28 November, 1997 ICONIP (1) Nikola K. Kasabov, Robert Kozma, Kitty Ko, Robert O'Shea, George G. Coghill, Tom Gedeon
1998	—	`ed.`	Progress in Connectionist-Based Information Systems: Proceedings of the 1997 International Conference on Neural Information Processing and Intelligent Information Systems, ICONIP 1997, Volume II, Dunedin, New Zealand, 24-28 November, 1997 ICONIP (2) Nikola K. Kasabov, Robert Kozma, Kitty Ko, Robert O'Shea, George G. Coghill, Tom Gedeon
1998	J	`jnl`	The ECOS Framework and the ECO Learning Method for Evolving Connectionist Systems. J. Adv. Comput. Intell. Intell. Informatics Nikola K. Kasabov
1997	—	`conf`	A Membership Function Selection Method for Fuzzy Neural Networks. ICONIP (2) Quingqing Zhou, Martin K. Purvis, Nikola K. Kasabov
1997	—	`conf`	A Methodology for Speech Data Analysis and a Framework for Adaptive Speech Recognition Using Fuzzy Neural Networks. ICONIP (2) Nikola K. Kasabov, Robert Kozma, Richard Kilgour, Mark R. Laws, J. Taylor, Michael J. Watts, Andrew R. Gray
1997	—	`conf`	Adaptive Training of Radial Basis Function Networks Based on Cooperative Evolution and Evolutionary Programming. ICONIP (1) Alexander P. Topchy, Oleg A. Lebedko, Victor V. Miagkikh, Nikola K. Kasabov
1997	—	`conf`	An Agent Based Framework for Modular Speech Recognition and Language Processing Systems. ICONIP (2) Andrew R. Gray, Richard Kilgour, Nikola K. Kasabov
1997	J	`jnl`	FuNN/2 - A Fuzzy Neural Network Architecture for Adaptive Learning and Knowledge Acquisition. Inf. Sci. Nikola K. Kasabov, Jaesoo Kim, Michael J. Watts, Andrew R. Gray
1997	—	`conf`	Fuzzy rules extraction, reasoning and rules adaptation in fuzzy neural networks. ICNN Nikola K. Kasabov
1997	—	`conf`	Genetic algorithms for structural optimisation, dynamic adaptation and automated design of fuzzy neural networks. ICNN Nikola K. Kasabov, Michael J. Watts
1997	J	`jnl`	Learning Strategies for Modular Neuro-Fuzzy Systems: A Case Study on Phoneme-Based Speech Recognition. J. Intell. Fuzzy Syst. Nikola K. Kasabov
1997	—	`conf`	Multi-Agent Implementation of Fractal Analysis by Fuzzy Neural Networks. ICONIP (1) Robert Kozma, J. A. Swope, Nikola K. Kasabov, M. J. A. Williams
1997	—	`conf`	Neuro-Fuzzy and Multivariate Statistical Classification of Fruit Populations Based on Visible-Near Infrared Spectrophotometry Data. ICONIP (2) Jaesoo Kim, A. Mowat, P. Poole, Nikola K. Kasabov
1997	J	`jnl`	Special Issue on Advanced Neuro-Fuzzy Techniques and Their Applications: Introduction. Inf. Sci. Nikola K. Kasabov, Kaoru Hirota
1997	J	`jnl`	Statistical, connectionist, and fuzzy inference techniques for image classification. J. Electronic Imaging Steven A. Israel, Nikola K. Kasabov
1996	J	`jnl`	Adaptable neuro production systems. Neurocomputing Nikola K. Kasabov
1996	J	`jnl`	Fril - Fuzzy and Evidential Reasoning in Artificial Intelligence, by J. F. Baldwin, T. P. Martin, and B. W. Pilsworth. J. Am. Soc. Inf. Sci. Nikola K. Kasabov
1996	J	`jnl`	Learning fuzzy rules and approximate reasoning in fuzzy neural networks and hybrid systems. Fuzzy Sets Syst. Nikola K. Kasabov
1996	J	`jnl`	Preface. Fuzzy Sets Syst. Nikola K. Kasabov, Takeshi Yamakawa
1995	J	`jnl`	Hybrid Connectionist Fuzzy Production System: Towards Building Comprehensive AI. Intell. Autom. Soft Comput. Nikola K. Kasabov
1995	—	`conf`	Hybrid Systems for Medical Data Analysis and Decision Making - A Case Study on Varicose Vein Disorders . ANNES Max Bailey, Clive Solomon, Nikola K. Kasabov, Simon Greig
1995	—	`conf`	Hybrid Systems for Prediction - A Case Study of Predicting Effluent Flow to a Sewage Plant. ANNES Max Bailey, Nikola K. Kasabov, Peter Mason, Andrew R. Gray, Tico Cohen
1995	—	`conf`	Intelligent human computer interfaces and the case study of building English-to-Maori talking dictionary. ANNES Nikola K. Kasabov, S. J. Sinclair, Richard Kilgour, Catherine I. Watson, Mark R. Laws, Diana Kassabova
1995	J	`jnl`	Model for exploiting associative matching in AI production systems. Knowl. Based Syst. Nikola K. Kasabov, Simon H. Lavington, S. Lin, C. Wang
1994	—	`conf`	Hybrid Connectionist Fuzzy Systems for Speech Recognition and the Use of Connectionist Production Systems. IEEE/Nagoya-University World Wisepersons Workshop Nikola K. Kasabov
1993	—	`conf`	Connectionist Fuzzy Production Systems. Fuzzy Logic in Artificial Intelligence Nikola K. Kasabov
1993	—	`conf`	Connectionist expert systems. ANNES Nikola K. Kasabov, Lakhmi C. Jain
1993	—	`conf`	Learning fuzzy rules through neural networks. ANNES Nikola K. Kasabov
1993	—	`conf`	Speech recognition based on Kohonen self-organizing feature maps and hybrid connectionist systems. ANNES Nikola K. Kasabov, Daniel Nikovski, Emilian Peev
1992	A	`conf`	Neural Networks and Logic Programming - a Hybrid Model and its Applicability to Building Expert Systems. ECAI Nikola K. Kasabov, S. H. Petkov
1992	Misc	`conf`	Prognostic Expert Systems on a Hybrid Connectionist Environment. AIMSA Nikola K. Kasabov, Daniel Nikovski
1990	Misc	`conf`	Hybrid Connectionist Rule-Based Systems. AIMSA Nikola K. Kasabov
1985	J	`jnl`	A method for SIMD/MIMD functionally reconfigurable multimicroprocessor systems design and parallel data exchange algorithms. Parallel Comput. Nikola K. Kasabov
1985	J	`jnl`	Functionally reconfigurable general purpose parallel machines and some image processing and pattern recognition applications. Pattern Recognit. Lett. Nikola K. Kasabov
1981	—	`conf`	Hierarchical discrete systems and realisation of parallel algorithms. CONPAR Nikola K. Kasabov, G. T. Bijev, B. J. Jechev