about
Biologically Plausible Computational Neurogenetic Models: Modeling the Interaction Between Genes, Neurons and Neural NetworksModelling the Effect of Genes on the Dynamics of Probabilistic Spiking Neural Networks for Computational Neurogenetic ModellingNeuCube: a spiking neural network architecture for mapping, learning and understanding of spatio-temporal brain data.Evolving connectionist systems for knowledge discovery from gene expression data of cancer tissue.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.Incremental linear discriminant analysis for classification of data streams.Evolving spatio-temporal data machines based on the NeuCube neuromorphic framework: Design methodology and selected applications.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.TWNFI--a transductive neuro-fuzzy inference system with weighted data normalization for personalized modeling.Network-Based Method for Inferring Cancer Progression at the Pathway Level from Cross-Sectional Mutation Data.Mapping Temporal Variables Into the NeuCube for Improved Pattern Recognition, Predictive Modeling, and Understanding of Stream Data.Mapping, Learning, Visualization, Classification, and Understanding of fMRI Data in the NeuCube Evolving Spatiotemporal Data Machine of Spiking Neural Networks.Incremental learning of chunk data for online pattern classification systems.An integrated feature selection and classification method to select minimum number of variables on the case study of gene expression data.Image Processing of Porous Silicon Microarray in Refractive Index Change Detection.Identifying overlapping mutated driver pathways by constructing gene networks in cancer.On the probabilistic optimization of spiking neural networks.New strategy to reduce the global burden of stroke.Integrating evolving brain-gene ontology and connectionist-based system for modeling and knowledge discovery.Remote Sensing Image Change Detection Based on NSCT-HMT Model and Its Application.Geomagnetic storms can trigger stroke: evidence from 6 large population-based studies in Europe and Australasia.Dynamic evolving spiking neural networks for on-line spatio- and spectro-temporal pattern recognition.Prediction of preeclampsia and delivery of small for gestational age babies based on a combination of clinical risk factors in high-risk women.A holistic comparative analysis of diagnostic tests for urothelial carcinoma: a study of Cxbladder Detect, UroVysion® FISH, NMP22® and cytology based on imputation of multiple datasets.Method of Improved Fuzzy Contrast Combined Adaptive Threshold in NSCT for Medical Image Enhancement.LDA merging and splitting with applications to multiagent cooperative learning and system alteration.Modeling brain dynamics using computational neurogenetic approach.An altered pattern of circulating apolipoprotein E3 isoforms is implicated in preeclampsia.Evolving connectionist system versus algebraic formulas for prediction of renal function from serum creatinine.Integrating regression formulas and kernel functions into locally adaptive knowledge-based neural networks: a case study on renal function evaluation.HyFIS: adaptive neuro-fuzzy inference systems and their application to nonlinear dynamical systems.Evolving spiking neural networks for audiovisual information processing.Knowledge extraction from evolving spiking neural networks with rank order population coding.Span: spike pattern association neuron for learning spatio-temporal spike patterns.Bayesian learning of sparse gene regulatory networks.Integrated feature and parameter optimization for an evolving spiking neural network: exploring heterogeneous probabilistic models.To spike or not to spike: a probabilistic spiking neuron model.Fast neural network ensemble learning via negative-correlation data correction.Incremental learning of feature space and classifier for face recognition.<I>A Special Issue on</I> Computational Intelligence for Bioinformatics
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description
researcher
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wetenschapper
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հետազոտող
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name
Nikola Kasabov
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Nikola Kasabov
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Nikola Kasabov
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Nikola Kasabov
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Nikola Kasabov
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type
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Nikola Kasabov
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Nikola Kasabov
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Nikola Kasabov
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Nikola Kasabov
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Nikola Kasabov
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Nikola Kasabov
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Nikola Kasabov
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Nikola Kasabov
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Nikola Kasabov
@nl
Nikola Kasabov
@sl
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0000-0003-4433-7521
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1948-08-12T00:00:00Z
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