Nikola Kasabov

发表

Using EEG Data and NeuCube for the Study of Transfer of Learning

Mojgan Fard, Maryam Gholami Doborjeh, Krassie Petrova, 2020, 2020 International Conference on Computational Science and Computational Intelligence (CSCI).

Computational neurogenetic modeling: integration of spiking neural networks, gene networks, and signal processing techniques

Nikola Kasabov, Lubica Benuskova, Simei Gomes Wysoski, 2004 .

A fuzzy neural network model for the estimation of the feeding rate to an anaerobic waste water treatment process

Nikola Kasabov, B Gols, Jaesoo Kim, 1998 .

A Biologically Inspired Evolving Spiking Neural Model with Rank-Order Population Coding and a Taste Recognition System Case Study

Nikola Kasabov, Snjezana Soltic, N. Kasabov, 2011 .

Classification and regression of spatio-temporal signals using NeuCube and its realization on SpiNNaker neuromorphic hardware

Nikola Kasabov, Christoph Richter, Gordon Cheng, 2019, Journal of neural engineering.

Evolutionary- and Quantum-Inspired Computation. Applications for SNN Optimisation

Nikola Kasabov, N. Kasabov, 2018, Springer Series on Bio- and Neurosystems.

Hybrid Evolutionary-, Constructive- and Evolving Fuzzy Neural Networks

Michael J. Watts, Nikola Kasabov, 2016 .

A novel multi-focus image fusion method using PCNN in nonsubsampled contourlet transform domain

Zhenhong Jia, Nikola Kasabov, Jie Yang, 2015 .

Multilayer level set method for multiregion image segmentation

Nikola Kasabov, Jie Yang, Jiangxiong Fang, 2011 .

Dynamic Interaction Networks and Global Ontology-Based Modelling of Brain Dynamics

Nikola Kasabov, Lubica Benuskova, 2008 .

Feasibility of NeuCube spiking neural network architecture for EMG pattern recognition

Nikola Kasabov, Hongnian Yu, Luige Vladareanu, 2015, 2015 International Conference on Advanced Mechatronic Systems (ICAMechS).

Evolving Connectionist-based Decision Support Systems

Nikola Kasabov, 2003 .

Combining neuro-fuzzy and chaos methods for intelligent time series analysis-case study of heart rate variability

Nikola Kasabov, Robert Kozma, J. A. Swope, 1997, 1997 IEEE International Conference on Systems, Man, and Cybernetics. Computational Cybernetics and Simulation.

Modelling the Emergence of Speech Sound Categories in Evolving Connectionist Systems

Nikola Kasabov, Richard Kilgour, John R. Taylor, 2000 .

Dynamic evolving spiking neural networks for on-line spatio- and spectro-temporal pattern recognition.

Nikola Kasabov, Giacomo Indiveri, Nuttapod Nuntalid, 2013, Neural networks : the official journal of the International Neural Network Society.

Evolving Neuro-Fuzzy Inference Systems

Nikola Kasabov, 2003 .

EEG signal processing for brain-computer interfaces

Nikola Kasabov, Petia Georgieva, Mariofanna Milanova, 2014 .

Integrating Space, Time, and Orientation in Spiking Neural Networks: A Case Study on Multimodal Brain Data Modeling

Nikola Kasabov, Neelava Sengupta, Carolyn B. McNabb, 2018, IEEE Transactions on Neural Networks and Learning Systems.

Evolutionary optimisation of evolving connectionist systems

Michael J. Watts, Nikola Kasabov, 2002, Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600).

Time-Space, Spiking Neural Networks and Brain-Inspired Artificial Intelligence

Nikola Kasabov, N. Kasabov, 2018, Springer Series on Bio- and Neurosystems.

Deep Learning and Modelling of Audio-, Visual-, and Multimodal Audio-Visual Data in Brain-Inspired SNN

Nikola Kasabov, N. Kasabov, 2018, Springer Series on Bio- and Neurosystems.

Air pollution prediction with clustering-based ensemble of evolving spiking neural networks and a case study for London area

Robert Bembenik, Nikola Kasabov, Marzena Kryszkiewicz, 2019, Environ. Model. Softw..

Evolving Connectionist Systems for Adaptive Learning and Pattern Recognition: From Neuro-Fuzzy-, to Spiking- and Neurogenetic

Nikola Kasabov, 2016 .

EvoSpike: Evolving Probabilistic Spiking Neural Networks for Spatio- Temporal Pattern Recognition

Nikola Kasabov, Fabio Stefanini, Sidique Sheik, 2012 .

On-Line Image and Video Data Processing

Nikola Kasabov, 2003 .

Evolving Connectionist Systems (ECOS)

Nikola Kasabov, Lubica Benuskova, 2007 .

On-Line Adaptive Speech Recognition

Nikola Kasabov, 2003 .

Fuzzy rules extraction, reasoning and rules adaptation in fuzzy neural networks

Nikola Kasabov, 1997, Proceedings of International Conference on Neural Networks (ICNN'97).

Multi-Scale Analysis of Time Series Based on a Neuro-Fuzzy-Chaos Methodology Applied to Financial Data

Nikola Kasabov, Robert Kozma, 1998 .

Neuro-fuzzy engineering for spatial information processing

Nikola Kasabov, Feng Zhang, George L. Benwell, 1996 .

A Feasibility Study of Using the NeuCube Spiking Neural Network Architecture for Modelling Alzheimer's Disease EEG Data

Nikola Kasabov, Francesco Carlo Morabito, Domenico Labate, 2015, Advances in Neural Networks.

Artificial Neural Networks: Methods and Applications in Bio-/Neuroinformatics

Nikola Kasabov, Valeri Mladenov, Petia Koprinkova-Hristova, 2014 .

Selection and Optimization of Temporal Spike Encoding Methods for Spiking Neural Networks

Nikola Kasabov, Balint Petro, Rita M Kiss, 2020, IEEE Transactions on Neural Networks and Learning Systems.

Estimating risk of events using SOM models: A case study on invasive species establishment

Nikola Kasabov, Susan P. Worner, Joel Pitt, 2006 .

Universal Adversarial Perturbation Generated by Attacking Layer-wise Relevance Propagation

Nikola Kasabov, Jie Yang, Xiaolin Huang, 2020, 2020 IEEE 10th International Conference on Intelligent Systems (IS).

Soft Computing Methods for Global, Local and Personalized Modeling and Applications in Bioinformatics

Nikola Kasabov, N. Kasabov, 2009 .

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

Nikola Kasabov, Robert Kozma, Kitty Ko, 1998, ICONIP.

Modelling the Emergence of Acoustic Segments (Phonemes) in Spoken Languages

Nikola Kasabov, N. Kasabov, 2003 .

Speckle Reduction of Reconstructions of Digital Holograms Using Gamma-Correction and Filtering

Zhenhong Jia, Nikola Kasabov, Jie Yang, 2018, IEEE Access.

Application of CNGM to Learning and Memory

Nikola Kasabov, Lubica Benuskova, 2007 .

Understanding Nature Through the Symbiosis of Information Science, Bioinformatics, and Neuroinformatics

Nikola Kasabov, N. Kasabov, 2014 .

Brain-like Information Processing for Spatio-Temporal Pattern Recognition

Nikola Kasabov, N. Kasabov, 2014 .

A method to improve the accuracy of SAR image change detection by using an image enhancement method

Nikola Kasabov, Jie Yang, Zhi Li, 2020 .

Discovering gene regulatory networks from gene expression data with the use of evolving connectionist systems

Nikola Kasabov, Dimiter S. Dimitrov, 2004 .

Data Analysis and Knowledge Discovery

Michael J. Watts, Nikola Kasabov, Stephen G. MacDonell, 2010 .

Personalized Information Modeling for Personalized Medicine

Nikola Kasabov, Yingjie Hu, Wen Liang, 2014 .

Methods of Spiking Neural Networks

Nikola Kasabov, N. Kasabov, 2018, Springer Series on Bio- and Neurosystems.

Neuro-Fuzzy Techniques for Intelligent Information Systems

Nikola Kasabov, Janusz Kacprzyk, Robert Kozma, 1999 .

Brain, Gene, a 60. Brain, Gene, and Quantum Inspired Computational Intelligence

Nikola Kasabov, N. Kasabov, 2013 .

Mapping, learning and mining of spatiotemporal brain data with 3D evolving spiking neurogenetic models

Nikola Kasabov, 2012 .

Proceedings of the 2014 IEEE Conference on Evolving and Adaptive Intelligent Systems

Nikola Kasabov, Edwin Lughofer, Plamen Angelov, 2013 .

Hybrid fuzzy connectionist rule-based systems and the role of fuzzy rules extraction

Nikola Kasabov, 1995, Proceedings of 1995 IEEE International Conference on Fuzzy Systems..

Deep learning neural networks: Methods, systems, and applications

Zhigang Zeng, Qinglai Wei, Nikola Kasabov, 2020, Neurocomputing.

Fril—fuzzy and evidential reasoning in artificial intelligence

Nikola Kasabov, 1996 .

Modular Decision System and Information Integration for Improved Disease Outcome Prediction

Nikola Kasabov, Matthias E. Futschik, Mike Suillivan, 2003 .

Online Incremental Face Recognition System Using Eigenface Feature and Neural Classifier

Shigeo Abe, Nikola Kasabov, Shaoning Pang, 2009 .

Rules of chaotic behaviour extracted from a fuzzy-neural network

Nikola Kasabov, Robert Kozma, 1998, 1998 IEEE International Conference on Fuzzy Systems Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98CH36228).

A two-stage methodology for gene regulatory network extraction from time-course gene expression data

Nikola Kasabov, Zeke S. H. Chan, Lesley J. Collins, 2004 .

Brain-Inspired SNN for Deep Learning in Time-Space and Deep Knowledge Representation. NeuCube

Nikola Kasabov, N. Kasabov, 2018, Springer Series on Bio- and Neurosystems.

Framework for Knowledge Driven Optimisation Based Data Encoding for Brain Data Modelling Using Spiking Neural Network Architecture

Nikola Kasabov, Neelava Sengupta, Nathan Scott, 2015 .

Spatio-temporal pattern recognition with evolving spiking neural networks

Nikola Kasabov, 2012 .

Hybrid Intelligent Decision Support Systems and Applications for Risk Analysis and Discovery of Evolving Economic Clusters in Europe

Nikola Kasabov, Mario Fedrizzi, D. Deng, 2000 .

Connectionist-based information systems: a proposed research theme

Nikola Kasabov, Martin Purvis, Philip Sallis, 1996 .

Novel Applications of Intelligent Systems

Nikola Kasabov, Vladimir Jotsov, Mincho Hadjiski, 2016 .

Evolving Connectionist Systems for Supervised Learning

Nikola Kasabov, N. Kasabov, 2003 .

Evolving localised learning for on-line colour image quantisation

Nikola Kasabov, Da Deng, N. Kasabov, 2000 .

A fuzzy neural network for knowledge acquisition in complex time series

Nikola Kasabov, Robert Kozma, Jaesoo Kim, 1998 .

Audio- and Visual Information Processing in the Brain and Its Modelling with Evolving SNN

Nikola Kasabov, N. Kasabov, 2018, Springer Series on Bio- and Neurosystems.

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

Zhenhong Jia, Nikola Kasabov, Jie Yang, 2019, Sensors.

Evolving computational intelligence systems

Nikola Kasabov, Plamen Angelov, N. Kasabov, 2005 .

Brain-Like System for Audiovisual Person Authentication Based on Time-to-First Spike Coding

Nikola Kasabov, Lubica Benuskova, Simei Gomes Wysoski, 2011 .

Special issue: GeoComputation ’96

Nikola Kasabov, Philip J. Sallis, George L. Benwell, 1996 .

Quantum-Inspired Evolutionary Algorithm:

Nikola Kasabov, Stefan Schliebs, Michael Defoin Platel, 2009 .

A Novel Feature Selection Method using Evolving Supervised Clustering and Applications for Gene Expression Data Modeling

Nikola Kasabov, Liang Goh, N. Kasabov, 2002 .

Medical Image Enhancement Based on Shearlet Transform and Unsharp Masking

Nikola Kasabov, Yang Jie, Ayiguli Wubuli, 2014 .

Evolving computational intelligence: methods, systems, applications

Nikola Kasabov, 2013 .

Evolutionary Computation and Evolving Connectionist Systems

Nikola Kasabov, 2003 .

EEG Signal Pr 46. EEG Signal Processing for Brain-Computer Interfaces

Nikola Kasabov, Petia Georgieva, Mariofanna Milanova, 2014 .

Brain-like Computing and Intelligent Information Systems

Nikola Kasabov, Shun-Ichi Amari, S. Amari, 1998 .

Evolving connectionist systems for on-line, knowledge-based learning: Principles and applications

Nikola Kasabov, N. Kasabov, 1999 .

DYNAMIC INTERACTION NETWORKS FOR MODELLING AND DISCOVERY OF BRAIN DYNAMICS AT DIFFERENT FUNCTIONAL LEVELS

Nikola Kasabov, 2007 .

Looking for a new AI paradigm: Evolving connectionist and fuzzy connectionist systems—Theory and applications for adaptive, on-line intelligent systems

Nikola Kasabov, N. Kasabov, 1998 .

Dynamic Learning of Multiple Time Series in a Nonstationary Environment

Nikola Kasabov, Russel Pears, Harya Widiputra, 2012 .

A Computational Model of Neuroreceptor-Dependent Plasticity (NRDP) Based on Spiking Neural Networks

Nikola Kasabov, Elisa Capecci, Josafath I. Espinosa-Ramos, 2019, IEEE Transactions on Cognitive and Developmental Systems.

Evolutionary computation for dynamic parameter optimisation of evolving connectionist systems for on-line prediction of time series with changing dynamics

Nikola Kasabov, Qun Song, I. Nishikanawa, 2003, Proceedings of the International Joint Conference on Neural Networks, 2003..

Computational Neurogenetic Modeling

Nikola Kasabov, Lubica Benuskova, N. Kasabov, 2007 .

Deep Learning and Deep Knowledge Representation of fMRI Data

Nikola Kasabov, N. Kasabov, 2018, Springer Series on Bio- and Neurosystems.

Evolving Processes and Evolving Connectionist Systems

Nikola Kasabov, N. Kasabov, 2003 .

ECOS — Evolving Connectionist Systems — a New/Old Paradigm for On-line Learning and Knowledge Engineering

Nikola Kasabov, N. Kasabov, 2000 .

Adaptive long-term traffic state estimation with evolving spiking neural networks

Nikola Kasabov, Javier Del Ser, Elisa Capecci, 2019, Transportation Research Part C: Emerging Technologies.

Hardware support for data parallelism in production systems

Nikola Kasabov, S. H. Lavington, C. J. Wang, 1995 .

2008 Special issue Integrating evolving brain-gene ontology and connectionist-based system for modeling and knowledge discovery I

Nikola Kasabov, Lubica Benuskova, Vishal Jain, 2008 .

Neurocomputing for spatio-/spectro temporal pattern recognition and early event prediction: methods, systems, applications

Nikola Kasabov, 2013 .

Advanced Neuro-Fuzzy Engineering for Building Intelligent Adaptive Information Systems

Nikola Kasabov, 1998 .

Computational Intelligence, Bioinformatics and Computational Biology: A Brief Overview of Methods, Problems and Perspectives

Nikola Kasabov, Dimiter S. Dimitrov, Igor A. Sidorov, 2005 .

Artificial Neural Networks. Evolving Connectionist Systems

Nikola Kasabov, N. Kasabov, 2018, Springer Series on Bio- and Neurosystems.

A Connectionist Production System with Partial Match and its Use for Approximate Reasoning

Nikola Kasabov, Stephan I. Shishkov, 1993 .

Artificial Neural Networks

Nikola Kasabov, Petia Koprinkova-Hristova, Valeri Mladenov, 2015 .

From Brain-Inspired AI to a Symbiosis of Human Intelligence and Artificial Intelligence

Nikola Kasabov, 2019 .

Improved learning strategies for multimodular fuzzy neural network systems: a case study on image classification

Nikola Kasabov, Steven A. Israel, 1996 .

Efficient multiresolution level set image segmentation with multiple regions

Nikola Kasabov, Jie Yang, Jiangxiong Fang, 2011 .

Unsupervised Change Detection of SAR Images Based on an Improved NSST Algorithm

Zhenhong Jia, Nikola Kasabov, Jie Yang, 2018, Journal of the Indian Society of Remote Sensing.

Remote sensing image enhancement based on the combination of adaptive nonlinear gain and the PLIP model in the NSST domain

Nikola Kasabov, Jie Yang, Lanhua Zhang, 2020, Multimedia Tools and Applications.

Connectivity, Computability and Complexity of Evolving Spiking Neural Networks and Applications for Computational Intelligence

Nikola Kasabov, 2010 .

Brain, gene, and quantum inspired computational intelligence

Nikola Kasabov, N. Kasabov, 2014 .

Complexity versus integrity solution in adaptive fuzzy-neural inference models

Nikola Kasabov, G. Dimirovski, 2008 .

Artificial Neural Networks and Machine Learning – ICANN 2013

Günther Palm, Nikola Kasabov, Petia Koprinkova-Hristova, 2013, Lecture Notes in Computer Science.

Integrating Time-Space and Orientation. A Case Study on fMRI + DTI Brain Data

Nikola Kasabov, N. Kasabov, 2018, Springer Series on Bio- and Neurosystems.

Suprathreshold stochastic resonance in a neuronal network model: A possible strategy for sensory coding

Nikola Kasabov, 2000 .

Dual-Tone Multiple Frequency Detection Using Adaptive Filters and Neural Network Classifiers

Nikola Kasabov, Georgi Iliev, 2000 .

Evolving Processes in Time-Space. Deep Learning and Deep Knowledge Representation in Time-Space. Brain-Inspired AI

Nikola Kasabov, N. Kasabov, 2018, Springer Series on Bio- and Neurosystems.

GA-parameter optimisation of evolving connectionist systems for classification and a case study from bioinformatics

Nikola Kasabov, Qun Song, 2002, Proceedings of the 9th International Conference on Neural Information Processing, 2002. ICONIP '02..

Proceedings of the 23rd International Conference on Artificial Neural Networks and Machine Learning ICANN 2013 - Volume 8131

Günther Palm, Nikola Kasabov, Petia Koprinkova-Hristova, 2013, ICANN 2013.

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

Nikola Kasabov, Jie Yang, Lei Zhou, 2017, IEEE Transactions on Cognitive and Developmental Systems.

Evolving connectionist systems for on-line pattern classification of multimedia data

Nikola Kasabov, Irena Koprinska, Georgi Iliev, 2008 .

A Practical Medical Image Enhancement Algorithm Based on Nonsubsampled Contourlet Transform

Zhenhong Jia, Nikola Kasabov, Jie Yang, 2019 .

Multi-spectral image change detection based on single-band iterative weighting and fuzzy C-means clustering

Nikola Kasabov, Jie Yang, Liyuan Ma, 2020 .

A Methodology and a System for Adaptive Speech Recognition in a Noisy Environment Based on Adaptive Noise Cancellation and Evolv- ing Fuzzy Neural Networks

Nikola Kasabov, Georgi Iliev, G. Iliev, 2000 .

SCDM 14: machine learning and predictive data modelling with spiking neural networks: methods, systems and applications for (spatio/spectro) - temporal data

Nikola Kasabov, 2014 .

Springer Handbook of Bio-/Neuro-Informatics

Nikola Kasabov, N. Kasabov, 2013 .

Integration of connectionist methods and chaotic time‐series analysis for the prediction of process data

Nikola Kasabov, Robert Kozma, A. Cohen, 1998 .

Brain-like functions in evolving connectionist systems for on-line, knowledge-based learning

Nikola Kasabov, N. Kasabov, 2001 .

Artificial Neural Networks (ANN)

Nikola Kasabov, Lubica Benuskova, 2007 .

Approximate reasoning with parallel connectionist production systems

Nikola Kasabov, S. I. Shishkov, 1993, Proceedings of 1993 International Conference on Neural Networks (IJCNN-93-Nagoya, Japan).

Dynamic optimisation of evolving connectionist system training parameters by pseudo-evolution strategy

Michael J. Watts, Nikola Kasabov, N. Kasabov, 2001, Proceedings of the 2001 Congress on Evolutionary Computation (IEEE Cat. No.01TH8546).

Deep Learning of Multisensory Streaming Data for Predictive Modelling with Applications in Finance, Ecology, Transport and Environment

Nikola Kasabov, N. Kasabov, 2018, Springer Series on Bio- and Neurosystems.

Quantum-inspired particle swarm optimization for feature selection and parameter optimization in evolving spiking neural networks for classification tasks

Siti Mariyam Shamsuddin, Nikola Kasabov, Hn Abdull Hamed, 2011 .

Computational Neurogenetic Modeling (CNGM): A Brief Introduction

Nikola Kasabov, Lubica Benuskova, 2007 .

Evolving and Spiking Connectionist Systems for Brain-Inspired Artificial Intelligence

Nikola Kasabov, N. Kasabov, 2019, Artificial Intelligence in the Age of Neural Networks and Brain Computing.

Bootstrapping Consistency Method for Optimal Gene Selection from Microarray Gene Expression Data for Classification Problems

Nikola Kasabov, Shaoning Pang, Yingjie Hu, 2008 .

Evolving Connectionist Systems for Adaptive Learning and Knowledge Discovery : The Past, The Present and The Future

Nikola Kasabov, 2015 .

Modelling Peri-Perceptual Brain Processes in a Deep Learning Spiking Neural Network Architecture

Nikola Kasabov, Alexander Sumich, Maryam Gholami Doborjeh, 2018, Scientific Reports.

Deep Learning and Deep Knowledge Representation in the Human Brain

Nikola Kasabov, N. Kasabov, 2019 .

Spiking Neural Networks: Background, Recent Development and the NeuCube Architecture

Nikola Kasabov, Clarence Tan, Marko Šarlija, 2020, Neural Processing Letters.

Evolving Connectionist and Fuzzy-Connectionist Systems for On-line Adaptive Decision Making and Control

Nikola Kasabov, N. Kasabov, 1999 .

Evolutionary Computation for Model and Feature Optimization

Nikola Kasabov, Lubica Benuskova, 2007 .

Accurate breast lesion segmentation by exploiting spatio-temporal information with deep recurrent and convolutional network

Hao Zheng, Nikola Kasabov, Jie Yang, 2019, J. Ambient Intell. Humaniz. Comput..

Efficient global clustering using the Greedy Elimination Method

Nikola Kasabov, Z.S.H. Chan, 2004 .

Speech Data Analysis and Recognition Using Fuzzy Neural Networks and Self-Organising Maps

Michael J. Watts, Nikola Kasabov, Robert Kozma, 1997 .

Fuzzy clustering of gene expression data

Nikola Kasabov, Matthias E. Futschik, N. Kasabov, 2002, 2002 IEEE World Congress on Computational Intelligence. 2002 IEEE International Conference on Fuzzy Systems. FUZZ-IEEE'02. Proceedings (Cat. No.02CH37291).

Fuzzy-Neuro Systems for Local and Personalized Modelling

Nikola Kasabov, Tian Min Ma, Qun Song, 2008 .

Statistical approaches to automatic level set image segmentation with multiple regions

Nikola Kasabov, Jie Yang, Jiangxiong Fang, 2011 .

Nikola Kasabov, Wei Qi Yan, Xiaoxu Liu, 2020, 2020 35th International Conference on Image and Vision Computing New Zealand (IVCNZ).

A Semi-Online Training Algorithm for the Radial Basis Function Neural Networks: Applications to Bankruptcy Prediction in Banks

Vadlamani Ravi, Nikola Kasabov, P. Ravi Kumar, 2008 .

Computational Modelling and Pattern Recognition in Bioinformatics

Nikola Kasabov, N. Kasabov, 2018, Springer Series on Bio- and Neurosystems.

Implementation of active training for an upper-limb rehabilitation robot based on impedance control

Nikola Kasabov, Zeng-Guang Hou, Liang Peng, 2015, The 27th Chinese Control and Decision Conference (2015 CCDC).

Application of computational intelligence for on-line control of a sequencing batch reactor (SBR) at Morrinsville sewage treatment plant

Nikola Kasabov, A. Cohen, G. Janssen, 1997 .

Introduction: Hybrid intelligent adaptive systems

Nikola Kasabov, Robert Kozma, 1998 .

Spatial-temporal adaptation in evolving fuzzy neural networks for on-line adaptive phoneme recognition

Michael J. Watts, Nikola Kasabov, N. Kasabov, 1999 .

Integrative Computational Neurogenetic Modeling

Nikola Kasabov, 2015 .

Neuro-fuzzy methods for environmental modelling

Nikola Kasabov, Martin Purvis, Qingqing Zhou, 1997 .

A method for modelling genetic regulatory networks by using evolving connectionist systems and microarray gene expression data

Nikola Kasabov, Dimiter S. Dimitrov, N. Kasabov, 2002, Proceedings of the 9th International Conference on Neural Information Processing, 2002. ICONIP '02..

Densely Connected Discriminative Correlation Filters for Visual Tracking

Nikola Kasabov, Jie Yang, Fanghui Liu, 2018, IEEE Signal Processing Letters.

Genetic algorithms for structural optimisation, dynamic adaptation and automated design of fuzzy neural networks

Michael J. Watts, Nikola Kasabov, N. Kasabov, 1997, Proceedings of International Conference on Neural Networks (ICNN'97).

Evolving Spiking Neural Networks

Nikola Kasabov, 2019 .

Foundations Of Neural Networks, Fuzzy Systems, And Knowledge Engineering [Books in Brief]

Nikola Kasabov, N. Kasabov, 1996, IEEE Transactions on Neural Networks.

Change Detection of Optical Remote Sensing Image Disturbed by Thin Cloud Using Wavelet Coefficient Substitution Algorithm

Zhenhong Jia, Nikola Kasabov, Jie Yang, 2019, Sensors.

Moving object detection in video sequence images based on an improved visual background extraction algorithm

Nikola Kasabov, Jie Yang, Zhenhong Jia, 2020, Multimedia Tools and Applications.

Neurocomputation as brain inspired informatics: methods, systems, applications

Nikola Kasabov, 2013 .

Dynamic quantum-inspired particle swarm optimization as feature and parameter optimizer for evolving spiking neural networks

Siti Mariyam Shamsuddin, Nikola Kasabov, Haza Nuzly Abdull Hamed, 2012 .

Personalised Modelling for Integrated Static and Dynamic Data. Applications in Neuroinformatics

Nikola Kasabov, N. Kasabov, 2019 .

Evolving Self-Organizing Maps for On-line Learning, Data Analysis and Modelling

Nikola Kasabov, Da Deng, N. Kasabov, 2000 .

Computationa 37. Computational Modeling with Spiking Neural Networks

Nikola Kasabov, Stefan Schliebs, N. Kasabov, 2013 .

Evolving connectionist systems for adaptive learning and knowledge discovery: Methods, tools, applications

Nikola Kasabov, 2002, Proceedings First International IEEE Symposium Intelligent Systems.

Integrated gene expression analysis of multiple microarray data sets based on a normalization technique and on adaptive connectionist model

Nikola Kasabov, Liang Goh, N. Kasabov, 2003, Proceedings of the International Joint Conference on Neural Networks, 2003..

Neural systems for solving the inverse problem of recovering the primary signal waveform in potential transformers

Nikola Kasabov, G. Venkov, S. Minchev, 2003, Proceedings of the International Joint Conference on Neural Networks, 2003..

2004 IEEE International Workshop on Biomedical Circuits & Systems COMPUTATIONAL NEUROGENETIC MODELING: INTEGRATION OF SPIKING NEURAL NETWORKS, GENE NETWORKS, AND SIGNAL PROCESSING TECHNIQUES

Nikola Kasabov, Lubica Benuskova, Simei Gomes Wysoski, 2004 .

Neurofuzzy-Chaos Engineering for Building Intelligent Adaptive Information Systems

Nikola Kasabov, Robert Kozma, 1997 .

Simple evolving connectionist systems and experiments on isolated phoneme recognition

Michael J. Watts, Nikola Kasabov, N. Kasabov, 2000, 2000 IEEE Symposium on Combinations of Evolutionary Computation and Neural Networks. Proceedings of the First IEEE Symposium on Combinations of Evolutionary Computation and Neural Networks (Cat. No.00.

2009 IEEE Workshop on Evolving and Self-Developing Intelligent Systems, ESDIS 2009 - Proceedings:Welcome Message

Nikola Kasabov, Dimitar Filev, Plamen Angelov, 2009 .

Quantum-inspired Particle Swarm Optimisation for Integrated Feature and Parameter Optimisation of Evolving Spiking Neural Networks

Nikola Kasabov, Haza Nuzly Abdull Hamed, 2011 .

Evolving ontologies for intelligent decision support

Nikola Kasabov, Stephen G. MacDonell, Paulo C. M. Gottgtroy, 2006, Fuzzy Logic and the Semantic Web.

A Dynamic DNA Color Image Encryption Method Based on SHA-512

Nikola Kasabov, Shihua Zhou, Pinyan He, 2020, Entropy.

Adaptive, Evolving, Hybrid Connectionist Systems for Image Pattern Recognition

Nikola Kasabov, Brendon J. Woodford, Steven I. Israel, 2000 .

From von Neumann Machines to Neuromorphic Platforms

Nikola Kasabov, N. Kasabov, 2018, Springer Series on Bio- and Neurosystems.

Ontologies an 49. Ontologies and Machine Learning Systems

Nikola Kasabov, Russel Pears, Shoba Tegginmath, 2013 .

Dynamic evolving fuzzy neural networks with `m-out-of-n' activation nodes for on-line adaptive systems

Nikola Kasabov, Qun Song, N. Kasabov, 1999 .

Contemporary developments in neural networks: spiking neural networks for adaptive spatio-/spectro temporal pattern recognition

Nikola Kasabov, 2013 .

Adaptive blind noise suppression in some speech processing applications

Nikola Kasabov, Georgi Iliev, N. Kasabov, 1999, ICONIP'99. ANZIIS'99 & ANNES'99 & ACNN'99. 6th International Conference on Neural Information Processing. Proceedings (Cat. No.99EX378).

ECM — A Novel On-line, Evolving Clustering Method and Its Applications

Nikola Kasabov, Qun Song, 2001 .

Evolving connectionist systems for adaptive learning and knowledge discovery: methods, tools, applications

Nikola Kasabov, Nikola Kasabov, 2002, Proceedings of the 9th International Conference on Neural Information Processing, 2002. ICONIP '02..

Proceedings of the 15th international conference on Advances in neuro-information processing - Volume Part I

Nikola Kasabov, Mario Köppen, George Coghill, 2008 .

Computational Neuro-genetic Modelling

Nikola Kasabov, 2019 .

From Claude Shannon’s Information Entropy to Spike-Time Data Compression Theory

Nikola Kasabov, N. Kasabov, 2018, Springer Series on Bio- and Neurosystems.

Computational Modeling with Spiking Neural Networks

Nikola Kasabov, Stefan Schliebs, N. Kasabov, 2014 .

COMPUTATIONAL MODELLING OF GENE REGULATORY NETWORKS

Nikola Kasabov, Vishal Jain, Zeke S. H. Chan, 2005 .

Modelling the Emergence of Speech and Language Through Evolving Connectionist Systems

Nikola Kasabov, John R. Taylor, J. Taylor, 2000 .

Evolving Fuzzy Neural Networks for On-line Knowledge Discovery

Nikola Kasabov, N. Kasabov, 2001 .

An efficient and high quality medical CT image enhancement algorithm

Nikola Kasabov, Jie Yang, Zhi Li, 2020, Int. J. Imaging Syst. Technol..

Adaptive Filtering with Averaging in Noise Cancellation for Voice and Speech Recognition

Nikola Kasabov, Georgi Iliev, N. Kasabov, 2000 .

Robust Visual Tracking via Dirac-Weighted Cascading Correlation Filters

Nikola Kasabov, Jie Yang, Fanghui Liu, 2018, IEEE Signal Processing Letters.

Information M 55. Information Methods for Predicting Risk and Outcome of Stroke

Nikola Kasabov, Rita Krishnamurthi, Linda Liang, 2013 .

Artificial neural networks for intelligent information processing

Nikola Kasabov, 2001 .

Connectionist methods for classification of fruit populations based on visible-near infrared spectrophotometry data

Nikola Kasabov, Jaesoo Kim, Philip Poole, 1998 .

Dynamic Evolving Neuro-Fuzzy Inference System (DENFIS): On-line learning and Application for Time-Series Prediction

Nikola Kasabov, Qun Song, 2000 .

Recurrent Evolving Systems, Reinforcement Learning and Evolving Automata

Nikola Kasabov, N. Kasabov, 2003 .

Evolving Connectionist System Based Role Allocation for Robotic Soccer

Nikola Kasabov, Loulin Huang, Q. Song, 2008 .

Phoneme Recognition with Hierarchical Self Organised Neural Networks and Fuzzy Systems - A Case Study

Nikola Kasabov, E. Peev, 1994 .

Remote sensing image enhancement based on the combination of nonsubsampled shearlet transform and guided filtering

Zhenhong Jia, Nikola Kasabov, Jie Yang, 2016 .

Evolving personalized modeling system for integrated feature, neighborhood and parameter optimization utilizing gravitational search algorithm

Nikola Kasabov, Yingjie Hu, Wen Liang, 2015, Evol. Syst..

CHANNEL EQUALIZATION USING ADAPTIVE FILTERING WITH AVERAGING

Nikola Kasabov, Georgi Iliev, N. Kasabov, 2000 .

Data Mining, Modeling and Knowledge Discovery Methods for Personalised Biomedical Decision Support Systems

Nikola Kasabov, 2008 .

Method of Improved Fuzzy Contrast Combined Adaptive Threshold in NSCT for Medical Image Enhancement

Nikola Kasabov, Jie Yang, Fei Zhou, 2017, BioMed research international.

Evolving Connectionist Machines — Framework, Biological Motivation and Implementation Issues

Nikola Kasabov, N. Kasabov, 2003 .

IEEE CIDM 2011 Committee Symposium on Computational Intelligence and Data Mining (IEEE CIDM 2011)

Tamara G. Kolda, Sven F. Crone, Nikola Kasabov, 2011 .

Hybrid neuro-fuzzy inference systems and their application for on-line adaptive learning of nonlinear dynamical systems

Nikola Kasabov, Jaesoo Kim, N. Kasabov, 1999 .

Brain-Computer Interfaces Using Brain-Inspired SNN

Nikola Kasabov, N. Kasabov, 2018, Springer Series on Bio- and Neurosystems.

A Computational Framework for Personalised Modelling. Applications in Bioinformatics

Nikola Kasabov, N. Kasabov, 2018, Springer Series on Bio- and Neurosystems.

Learning Fuzzy Production Rules For Approximate Reasoning In Connectionist Production Systems

Nikola Kasabov, N. Kasabov, 1993 .

Dynamic Modelling of Brain Functions and Cognitive Processes

Nikola Kasabov, N. Kasabov, 2003 .

Evolving Systems for Integrated Multi-Modal Information Processing

Nikola Kasabov, 2003 .

Ontologies and Machine Learning Systems

Nikola Kasabov, Russel Pears, Shoba Tegginmath, 2014 .

Evolving Intelligent Systems: Methods, Learning, & Applications

Nikola Kasabov, Dimitar Filev, Dimitar Filev, 2006, 2006 International Symposium on Evolving Fuzzy Systems.

The concepts of hidden Markov model in speech recognition

Waleed H. Abdulla, Nikola Kasabov, 1999 .

Prediction of tinnitus masking benefit within a case series using a spiking neural network model.

Maryam Gholami Doborjeh, Nikola Kasabov, Zohreh Gholami Doborjeh, 2020, Progress in brain research.

A Filtering Neuron and its Application for Building Connectionist Production Systems

Nikola Kasabov, 1994 .

Spiking Neural Networks for Computational Intelligence: An Overview

Nikola Kasabov, Shirin Dora, N. Kasabov, 2021, Big Data Cogn. Comput..

Video Desnowing and Deraining via Saliency and Dual Adaptive Spatiotemporal Filtering

Nikola Kasabov, Jie Yang, Rui Wu, 2021, Sensors.

Personalised predictive modelling with brain-inspired spiking neural networks of longitudinal MRI neuroimaging data and the case study of dementia

Nikola Kasabov, Zohreh Doborjeh, Maryam Doborjeh, 2021, Neural Networks.

Universal Adversarial Perturbation Generated by Using Attention Information

Nikola Kasabov, Xiaolin Huang, Jie Yang, 2022, Advances in Intelligent Systems Research and Innovation.

A Methodology for Adaptive Speech Recognition Systems and a Development Environment

Nikola Kasabov, Akbar Ghobakhlou, 2003 .

1 Spatial-Temporal Data Representation in Ontology System for Personalized Decision Support

Nikola Kasabov, Muhaini Othman, N. Kasabov, 2012 .

Spiking Neural Network Modelling Approach Reveals How Mindfulness Training Rewires the Brain

Nikola Kasabov, Zohreh Doborjeh, Maryam Doborjeh, 2019, Scientific Reports.

An Application of Evolving Fuzzy Neural Network for Compressed Video Parsing

Nikola Kasabov, Irena Koprinska, N. Kasabov, 2000 .

Chapter 5 A Framework for Intelligent " Conscious " Machines Utilising Fuzzy Neural Networks and Spatial-Temporal Maps and a Case Study of Multilingual Speech Recognition

Nikola Kasabov, N. Kasabov, 1997 .

Dynamic interaction networks in modelling and predicting the behaviour of multiple interactive stock markets

Nikola Kasabov, Russel Pears, Antoaneta Serguieva, 2009 .

Investigating the Adaptation and Forgetting in Fuzzy Neural Networks Through a Method of Training and Zeroing

Nikola Kasabov, 1996 .

Evolving Fuzzy Neural Networks for Adaptive, On-line Intelligent Agents and Systems

Nikola Kasabov, N. Kasabov, 1999 .

Prediction of clinical behaviour and treatment for cancers.

Nikola Kasabov, N. Kasabov, A. Reeve, 2003, Applied bioinformatics.

Evolving Fuzzy Neural Networks : Theory and Applications for On-line Adaptive Prediction , Decision Making and Control

Nikola Kasabov, N. Kasabov, 1998 .

SAR Image Change Detection Method Based on Pulse-Coupled Neural Network

Zhenhong Jia, Xizhong Qin, Nikola Kasabov, 2016, Journal of the Indian Society of Remote Sensing.

LR-KFNN: Logistic Regression-Kernel Function Neural Networks and the GFR-NN Model for Renal Function Evaluation

Nikola Kasabov, Qun Song, Tianmin Ma, 2004 .

Knowledge-based neural networks for gene expression data analysis, modelling and profile discovery

Nikola Kasabov, N. Kasabov, 2004 .

Neuro-Genetic Information Processing for Optimisation and Adaptation in Intelligent Systems

Nikola Kasabov, N. Kasabov, Michael Watts, 2000 .

Gene Expression Pro ling of Metastatic and Nonmetastatic Colorectal Cancer Cell Lines

Nikola Kasabov, Matthias Futschik, N. Kasabov, 2002 .

A Special Issue on Computational Intelligence for Bioinformatics

Nikola Kasabov, Ilkka Havukkala, 2005 .

Biologically Plausible Computational Neurogenetic Models: Modeling the Interaction Between Genes, Neurons and Neural Networks

Nikola Kasabov, Lubica Benuskova, Simei Gomes Wysoski, 2005 .

Artificial Immune Networks as a Paradigm for Classification and Profiling of Gene Expression Data

Nikola Kasabov, Diana Tsankova, Velichka Georgieva, 2005 .

Change detection in SAR images based on the logarithmic transformation and total variation denoising method

Zhenhong Jia, Nikola Kasabov, Jie Yang, 2017 .

Neuro-Fuzzy Modelling of Heart Rate Signals and Application to Diagnostics

Nikola Kasabov, J. A. Swope, M. J. A. Williams, 2000 .

Understandin 1. Understanding Nature Through the Symbiosis of Information Science, Bioinformatics,

Nikola Kasabov, N. Kasabov, 2014 .

INTEGRATED PROGNOSTIC PROFILES: COMBINING CLINICAL AND GENE EXPRESSION INFORMATION THROUGH EVOLVING CONNECTIONIST APPROACH

Nikola Kasabov, Michael J. Sullivan, Liang Goh, 2005 .

Gene Expression Proé ling of Metastatic and Nonmetastatic Colorectal Cancer Cell Lines

Nikola Kasabov, Matthias E. Futschik, Michael J. Sullivan, 2002 .

A Novel On-line , Evolving Clustering Method and Its Applications

Nikola Kasabov, Qun Song, 2001 .

Spiking Neural Networks for Text-Independent Speaker Authentication

Nikola Kasabov, Lubica Benuskova, Simei Gomes Wysoski, 2006 .

Rule Extraction from Linguistic Rule Networks and from Fuzzy Neural Networks : Propositional versus Fuzzy Rules

Nikola Kasabov, Robert Kozma, Wlodzislaw Duch, 1998 .

Noisy Remote Sensing Image Segmentation with Wavelet Shrinkage and Graph Cuts

Zhenhong Jia, Nikola Kasabov, Jie Yang, 2016, Journal of the Indian Society of Remote Sensing.