Nikola K. Kasabov
Orcid: 0000-0003-4433-7521Affiliations:
- Auckland University of Technology, Knowledge Engineering & Discovery Research Institute (KEDRI), New Zealand
- University of Otago, Department of Information Science, Dunedin, New Zealand
- Technical University Sofia, Bulgaria (PhD 1975)
According to our database1,
Nikola K. Kasabov
authored at least 391 papers
between 1981 and 2024.
Collaborative distances:
Collaborative distances:
Awards
IEEE Fellow
IEEE Fellow 2010, "For the applications of neural networks and hybrid systems in computational intelligence".
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
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on zbmath.org
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on aut.ac.nz
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on orcid.org
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on id.loc.gov
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on d-nb.info
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on dl.acm.org
On csauthors.net:
Bibliography
2024
Multim. Tools Appl., April, 2024
Online Low-Light Sand-Dust Video Enhancement Using Adaptive Dynamic Brightness Correction and a Rolling Guidance Filter.
IEEE Trans. Multim., 2024
Constructing New Backbone Networks via Space-Frequency Interactive Convolution for Deepfake Detection.
IEEE Trans. Inf. Forensics Secur., 2024
2023
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., December, 2023
Accurate breast lesion segmentation by exploiting spatio-temporal information with deep recurrent and convolutional network.
J. Ambient Intell. Humaniz. Comput., December, 2023
A novel Out-of-Distribution detection approach for Spiking Neural Networks: Design, fusion, performance evaluation and explainability.
Inf. Fusion, December, 2023
Effective air pollution prediction by combining time series decomposition with stacking and bagging ensembles of evolving spiking neural networks.
Environ. Model. Softw., December, 2023
Prediction and detection of virtual reality induced cybersickness: a spiking neural network approach using spatiotemporal EEG brain data and heart rate variability.
Brain Informatics, December, 2023
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., October, 2023
A fast sand-dust video quality improvement method using simple color balance and dynamic guided filtering.
Multim. Tools Appl., September, 2023
IEEE Trans. Circuits Syst. Video Technol., April, 2023
A dual channel decomposition and remapping fusion model for low illumination images with a wide field of view.
Signal Process. Image Commun., April, 2023
Multim. Tools Appl., April, 2023
IEEE Trans. Circuits Syst. Video Technol., February, 2023
Sand-dust image enhancement based on light attenuation and transmission compensation.
Multim. Tools Appl., February, 2023
GALFusion: Multi-Exposure Image Fusion via a Global-Local Aggregation Learning Network.
IEEE Trans. Instrum. Meas., 2023
IEEE Trans. Fuzzy Syst., 2023
Integrating Spatial and Temporal Information for Violent Activity Detection from Video Using Deep Spiking Neural Networks.
Sensors, 2023
Spatiotemporal EEG Dynamics of Prospective Memory in Ageing and Mild Cognitive Impairment.
Cogn. Comput., 2023
Neuroinformatics, Neural Networks and Neurocomputers for Brain-inspired Computational Intelligence.
Proceedings of the 17th IEEE International Symposium on Applied Computational Intelligence and Informatics, 2023
On-line Learning, Classification and Interpretation of Brain Signals using 3D SNN and ESN.
Proceedings of the International Joint Conference on Neural Networks, 2023
Mosaic LSM: A Liquid State Machine Approach for Multimodal Longitudinal Data Analysis.
Proceedings of the International Joint Conference on Neural Networks, 2023
2022
Denoising of Fluorescence Image on the Surface of Quantum Dot/Nanoporous Silicon Biosensors.
Sensors, 2022
Detail Preserving Low Illumination Image and Video Enhancement Algorithm Based on Dark Channel Prior.
Sensors, 2022
Multispectral Image Enhancement Based on the Dark Channel Prior and Bilateral Fractional Differential Model.
Remote. Sens., 2022
Neural Networks, 2022
Multispectral Image Enhancement Based on Weighted Principal Component Analysis and Improved Fractional Differential Mask.
IEEE Geosci. Remote. Sens. Lett., 2022
A fast sand-dust video quality improvement method based on adaptive dynamic guided filtering and interframe detection strategy.
J. Real Time Image Process., 2022
Salient detection via the fusion of background-based and multiscale frequency-domain features.
Inf. Sci., 2022
A meta-inspired termite queen algorithm for global optimization and engineering design problems.
Eng. Appl. Artif. Intell., 2022
A Novel Explainable Out-of-Distribution Detection Approach for Spiking Neural Networks.
CoRR, 2022
Personalized Spiking Neural Network Models of Clinical and Environmental Factors to Predict Stroke.
Cogn. Comput., 2022
Brain Informatics, 2022
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.
Proceedings of the IEEE 11th International Conference on Intelligent Systems, 2022
Multi-view Geometry Consistency Network for Facial Micro-Expression Recognition From Various Perspectives.
Proceedings of the International Joint Conference on Neural Networks, 2022
Proceedings of the Advances in Intelligent Systems Research and Innovation, 2022
2021
Video Desnowing and Deraining via Saliency and Dual Adaptive Spatiotemporal Filtering.
Sensors, 2021
Deep Learning of Explainable EEG Patterns as Dynamic Spatiotemporal Clusters and Rules in a Brain-Inspired Spiking Neural Network.
Sensors, 2021
Remote. Sens., 2021
Personalised predictive modelling with brain-inspired spiking neural networks of longitudinal MRI neuroimaging data and the case study of dementia.
Neural Networks, 2021
NeuroSense: Short-term emotion recognition and understanding based on spiking neural network modelling of spatio-temporal EEG patterns.
Neurocomputing, 2021
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., 2021
Big Data Cogn. Comput., 2021
Single-Image Snow Removal Based on an Attention Mechanism and a Generative Adversarial Network.
IEEE Access, 2021
Multi-view Geometry Consistency Network for Facial Micro-Expression Recognition From Various Perspectives.
Proceedings of the International Joint Conference on Neural Networks, 2021
Emotion Recognition and Understanding Using EEG Data in A Brain-Inspired Spiking Neural Network Architecture.
Proceedings of the International Joint Conference on Neural Networks, 2021
2020
Selection and Optimization of Temporal Spike Encoding Methods for Spiking Neural Networks.
IEEE Trans. Neural Networks Learn. Syst., 2020
Pulsewidth Modulation-Based Algorithm for Spike Phase Encoding and Decoding of Time-Dependent Analog Data.
IEEE Trans. Neural Networks Learn. Syst., 2020
Application of a Brain-Inspired Spiking Neural Network Architecture to Odor Data Classification.
Sensors, 2020
FusionSense: Emotion Classification Using Feature Fusion of Multimodal Data and Deep Learning in a Brain-Inspired Spiking Neural Network.
Sensors, 2020
Interpretability of Spatiotemporal Dynamics of the Brain Processes Followed by Mindfulness Intervention in a Brain-Inspired Spiking Neural Network Architecture.
Sensors, 2020
Spiking Neural Networks: Background, Recent Development and the NeuCube Architecture.
Neural Process. Lett., 2020
Neural Networks, 2020
Deep learning and deep knowledge representation in Spiking Neural Networks for Brain-Computer Interfaces.
Neural Networks, 2020
Moving object detection in video sequence images based on an improved visual background extraction algorithm.
Multim. Tools Appl., 2020
Remote sensing image enhancement based on the combination of adaptive nonlinear gain and the PLIP model in the NSST domain.
Multim. Tools Appl., 2020
Int. J. Imaging Syst. Technol., 2020
Neurocomputing, 2020
Modelling gene interaction networks from time-series gene expression data using evolving spiking neural networks.
Evol. Syst., 2020
IEEE Access, 2020
Video Snow Removal Based on Self-Adaptation Snow Detection and Patch-Based Gaussian Mixture Model.
IEEE Access, 2020
A Fast Sand-Dust Image Enhancement Algorithm by Blue Channel Compensation and Guided Image Filtering.
IEEE Access, 2020
eSNN for Spatio-Temporal fMRI Brain Pattern Recognition with a Graphical Object Recognition Case Study.
Proceedings of the Recent Advances on Soft Computing and Data Mining, 2020
Proceedings of the 35th International Conference on Image and Vision Computing New Zealand, 2020
Universal Adversarial Perturbation Generated by Attacking Layer-wise Relevance Propagation.
Proceedings of the 10th IEEE International Conference on Intelligent Systems, 2020
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
Proceedings of the Artificial Intelligence and Soft Computing, 2020
2019
A Computational Model of Neuroreceptor-Dependent Plasticity (NRDP) Based on Spiking Neural Networks.
IEEE Trans. Cogn. Dev. Syst., 2019
Change Detection of Optical Remote Sensing Image Disturbed by Thin Cloud Using Wavelet Coefficient Substitution Algorithm.
Sensors, 2019
Applying Speckle Noise Suppression to Refractive Indices Change Detection in Porous Silicon Microarrays.
Sensors, 2019
Erratum: Lou, X.; Jia, Z.; Yang, J.; Kasabov, N. Change Detection in SAR Images Based on the ROF Model Semi-Implicit Denoising Method. <i>Sensors</i> 2019, <i>19</i>, 1179.
Sensors, 2019
Change Detection in SAR Images Based on the ROF Model Semi-Implicit Denoising Method.
Sensors, 2019
Neural Networks, 2019
Personalised modelling with spiking neural networks integrating temporal and static information.
Neural Networks, 2019
J. Medical Imaging Health Informatics, 2019
A Practical Medical Image Enhancement Algorithm Based on Nonsubsampled Contourlet Transform.
J. Medical Imaging Health Informatics, 2019
Contrast enhancement of medical images using fuzzy set theory and nonsubsampled shearlet transform.
Int. J. Imaging Syst. Technol., 2019
Air pollution prediction with clustering-based ensemble of evolving spiking neural networks and a case study for London area.
Environ. Model. Softw., 2019
Moving Target Detection Based on Improved Gaussian Mixture Background Subtraction in Video Images.
IEEE Access, 2019
IEEE Access, 2019
Multi-Spectral Image Change Detection Based on Band Selection and Single-Band Iterative Weighting.
IEEE Access, 2019
SAR Image Change Detection Based on Mathematical Morphology and the K-Means Clustering Algorithm.
IEEE Access, 2019
eSPANNet: Evolving Spike Pattern Association Neural Network for Spike-based Supervised Incremental Learning and Its Application for Single-trial Brain Computer Interfaces.
Proceedings of the International Joint Conference on Neural Networks, 2019
Deep Learning of EEG Data in the NeuCube Brain-Inspired Spiking Neural Network Architecture for a Better Understanding of Depression.
Proceedings of the Neural Information Processing - 26th International Conference, 2019
2018
Integrating Space, Time, and Orientation in Spiking Neural Networks: A Case Study on Multimodal Brain Data Modeling.
IEEE Trans. Neural Networks Learn. Syst., 2018
IEEE Signal Process. Lett., 2018
IEEE Signal Process. Lett., 2018
Neural Networks, 2018
A Retinotopic Spiking Neural Network System for Accurate Recognition of Moving Objects Using NeuCube and Dynamic Vision Sensors.
Frontiers Comput. Neurosci., 2018
Evolving, dynamic clustering of spatio/spectro-temporal data in 3D spiking neural network models and a case study on EEG data.
Evol. Syst., 2018
An evolving spatio-temporal approach for gender and age group classification with Spiking Neural Networks.
Evol. Syst., 2018
Attentional Bias Pattern Recognition in Spiking Neural Networks from Spatio-Temporal EEG Data.
Cogn. Comput., 2018
Anytime multipurpose emotion recognition from EEG data using a Liquid State Machine based framework.
Artif. Intell. Medicine, 2018
Speckle Reduction of Reconstructions of Digital Holograms Using Gamma-Correction and Filtering.
IEEE Access, 2018
Analysis of Gene Expression Time Series Data of Ebola Vaccine response using the NeuCube and Temporal Feature Selection.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
EEG Pattern Recognition using Brain-Inspired Spiking Neural Networks for Modelling Human Decision Processes.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
Drift Detection over Non-stationary Data Streams Using Evolving Spiking Neural Networks.
Proceedings of the Intelligent Distributed Computing XII, 2018
Proceedings of the Intelligent Distributed Computing XII, 2018
FaNeuRobot: A Framework for Robot and Prosthetics Control Using the NeuCube Spiking Neural Network Architecture and Finite Automata Theory.
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018
Proceedings of the Neural Information Processing - 25th International Conference, 2018
Analysis, Classification and Marker Discovery of Gene Expression Data with Evolving Spiking Neural Networks.
Proceedings of the Neural Information Processing - 25th International Conference, 2018
Modelling and Analysis of Temporal Gene Expression Data Using Spiking Neural Networks.
Proceedings of the Neural Information Processing - 25th International Conference, 2018
Spiking Neural Networks for Cancer Gene Expression Time Series Modelling and Analysis.
Proceedings of the Neural Information Processing - 25th International Conference, 2018
A Spatio-Temporal Fully Convolutional Network for Breast Lesion Segmentation in DCE-MRI.
Proceedings of the Neural Information Processing - 25th International Conference, 2018
Proceedings of the 19th International Conference on Computer Systems and Technologies, 2018
2017
Mapping Temporal Variables Into the NeuCube for Improved Pattern Recognition, Predictive Modeling, and Understanding of Stream Data.
IEEE Trans. Neural Networks Learn. Syst., 2017
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., 2017
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., 2017
Sensors, 2017
Sensors, 2017
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, 2017
Spike-time encoding as a data compression technique for pattern recognition of temporal data.
Inf. Sci., 2017
A spiking neural network model for obstacle avoidance in simulated prosthetic vision.
Inf. Sci., 2017
A Practical GrabCut Color Image Segmentation Based on Bayes Classification and Simple Linear Iterative Clustering.
IEEE Access, 2017
Proceedings of the Neural Information Processing - 24th International Conference, 2017
EEG Comparison Between Normal and Developmental Disorder in Perception and Imitation of Facial Expressions with the NeuCube.
Proceedings of the Neural Information Processing - 24th International Conference, 2017
Proceedings of the Neural Information Processing - 24th International Conference, 2017
2016
Spiking Neural Networks for Crop Yield Estimation Based on Spatiotemporal Analysis of Image Time Series.
IEEE Trans. Geosci. Remote. Sens., 2016
Network-Based Method for Inferring Cancer Progression at the Pathway Level from Cross-Sectional Mutation Data.
IEEE ACM Trans. Comput. Biol. Bioinform., 2016
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., 2016
Evolving spatio-temporal data machines based on the NeuCube neuromorphic framework: Design methodology and selected applications.
Neural Networks, 2016
A graph-based semi-supervised k nearest-neighbor method for nonlinear manifold distributed data classification.
Inf. Sci., 2016
An improved collaborative representation based classification with regularized least square (CRC-RLS) method for robust face recognition.
Neurocomputing, 2016
Evol. Syst., 2016
Mapping Temporal Variables into the NeuCube for Improved Pattern Recognition, Predictive Modelling and Understanding of Stream Data.
CoRR, 2016
From von neumann, John Atanasoff and ABC to Neuromorphic computation and the NeuCube spatio-temporal data machine.
Proceedings of the 8th IEEE International Conference on Intelligent Systems, 2016
Personalised modelling on integrated clinical and EEG Spatio-Temporal Brain Data in the NeuCube Spiking Neural Network system.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016
Longitudinal study of alzheimer's disease degeneration through EEG data analysis with a NeuCube spiking neural network model.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016
Which method to use for optimal structure and function representation of large spiking neural networks: A case study on the NeuCube architecture.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016
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.
Proceedings of the Neural Information Processing - 23rd International Conference, 2016
Efficient Recognition of Attentional Bias Using EEG Data and the NeuCube Evolving Spatio-Temporal Data Machine.
Proceedings of the Neural Information Processing - 23rd International Conference, 2016
Proceedings of the 11th International Conference on Industrial and Information Systems, 2016
Proceedings of the Artificial Neural Networks in Pattern Recognition, 2016
2015
A Feasibility Study of Using the NeuCube Spiking Neural Network Architecture for Modelling Alzheimer's Disease EEG Data.
Proceedings of the Advances in Neural Networks: Computational and Theoretical Issues, 2015
Proceedings of the Springer Handbook of Computational Intelligence, 2015
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, 2015
Evolving connectionist systems for adaptive learning and knowledge discovery: Trends and directions.
Knowl. Based Syst., 2015
J. Comput. Methods Sci. Eng., 2015
Spiking neural network methodology for modelling, classification and understanding of EEG spatio-temporal data measuring cognitive processes.
Inf. Sci., 2015
Int. J. Imaging Syst. Technol., 2015
A medical image enhancement method using adaptive thresholding in NSCT domain combined unsharp masking.
Int. J. Imaging Syst. Technol., 2015
Posterior Distribution Learning (PDL): A novel supervised learning framework using unlabeled samples to improve classification performance.
Neurocomputing, 2015
Evolving personalized modeling system for integrated feature, neighborhood and parameter optimization utilizing gravitational search algorithm.
Evol. Syst., 2015
Identifying overlapping mutated driver pathways by constructing gene networks in cancer.
BMC Bioinform., 2015
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015
Modelling Absence Epilepsy seizure data in the NeuCube evolving spiking neural network architecture.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015
Abnormal Activity Detection Using Spatio-Temporal Feature and Laplacian Sparse Representation.
Proceedings of the Neural Information Processing - 22nd International Conference, 2015
Proceedings of the Neural Information Processing - 22nd International Conference, 2015
Proceedings of the Neural Information Processing - 22nd International Conference, 2015
Dynamic 3D Clustering of Spatio-Temporal Brain Data in the NeuCube Spiking Neural Network Architecture on a Case Study of fMRI Data.
Proceedings of the Neural Information Processing - 22nd International Conference, 2015
2014
NeuCube: A spiking neural network architecture for mapping, learning and understanding of spatio-temporal brain data.
Neural Networks, 2014
A novel graph-based k-means for nonlinear manifold clustering and representative selection.
Neurocomputing, 2014
Evolving spiking neural networks for personalised modelling, classification and prediction of spatio-temporal patterns with a case study on stroke.
Neurocomputing, 2014
Concurr. Comput. Pract. Exp., 2014
NeuCube<sup>(ST)</sup> for spatio-temporal data predictive modelling with a case study on ecological data.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014
Feasibility of NeuCube SNN architecture for detecting motor execution and motor intention for use in BCIapplications.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014
Improved predictive personalized modelling with the use of Spiking Neural Network system and a case study on stroke occurrences data.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014
Proceedings of the Neural Information Processing - 21st International Conference, 2014
Proceedings of the Neural Information Processing - 21st International Conference, 2014
Classification of fMRI Data in the NeuCube Evolving Spiking Neural Network Architecture.
Proceedings of the Neural Information Processing - 21st International Conference, 2014
Classification and segmentation of fMRI Spatio-Temporal Brain Data with a NeuCube evolving Spiking Neural Network model.
Proceedings of the IEEE Symposium on Evolving and Autonomous Learning Systems, 2014
EEG-based classification of upper-limb ADL using SNN for active robotic rehabilitation.
Proceedings of the 5th IEEE RAS/EMBS International Conference on Biomedical Robotics and Biomechatronics, 2014
2013
Neural Comput. Appl., 2013
Training spiking neural networks to associate spatio-temporal input-output spike patterns.
Neurocomputing, 2013
Evolving integrated multi-model framework for on line multiple time series prediction.
Evol. Syst., 2013
Proceedings of the Neural Information Processing - 20th International Conference, 2013
NeuCube Neuromorphic Framework for Spatio-temporal Brain Data and Its Python Implementation.
Proceedings of the Neural Information Processing - 20th International Conference, 2013
Spiking Neural Network for On-line Cognitive Activity Classification Based on EEG Data.
Proceedings of the Neural Information Processing - 20th International Conference, 2013
Spatio-temporal EEG Data Classification in the NeuCube 3D SNN Environment: Methodology and Examples.
Proceedings of the Neural Information Processing - 20th International Conference, 2013
NeuCubeRehab: A Pilot Study for EEG Classification in Rehabilitation Practice Based on Spiking Neural Networks.
Proceedings of the Neural Information Processing - 20th International Conference, 2013
Proceedings of the Engineering Applications of Neural Networks, 2013
The Evolution of the Evolving Neuro-Fuzzy Systems: From Expert Systems to Spiking-, Neurogenetic-, and Quantum Inspired.
Proceedings of the On Fuzziness - A Homage to Lotfi A. Zadeh - Volume 1, 2013
2012
LDA Merging and Splitting With Applications to Multiagent Cooperative Learning and System Alteration.
IEEE Trans. Syst. Man Cybern. Part B, 2012
Int. J. Neural Syst., 2012
Evolving Spiking Neural Networks and Neurogenetic Systems for Spatio- and Spectro-Temporal Data Modelling and Pattern Recognition.
Proceedings of the Advances in Computational Intelligence, 2012
Evolving spiking neural networks for spatio-and spectro-temporal pattern recognition.
Proceedings of the 6th IEEE International Conference on Intelligent Systems, 2012
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012
Online spatio-temporal pattern recognition with evolving spiking neural networks utilising address event representation, rank order, and temporal spike learning.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012
Proceedings of the Neural Information Processing - 19th International Conference, 2012
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2012, 2012
NeuCube EvoSpike Architecture for Spatio-temporal Modelling and Pattern Recognition of Brain Signals.
Proceedings of the Artificial Neural Networks in Pattern Recognition, 2012
2011
Probabilistic Computational Neurogenetic Modeling: From Cognitive Systems to Alzheimer's Disease.
IEEE Trans. Auton. Ment. Dev., 2011
Guest Editorial Special Issue on Computational Modeling of Neural and Brain Development.
IEEE Trans. Auton. Ment. Dev., 2011
Neural Comput. Appl., 2011
Dynamic Interaction Networks versus Local Trend Models for Multiple Time-Series Prediction.
Cybern. Syst., 2011
Multiple Time-Series Prediction through Multiple Time-Series Relationships Profiling and Clustered Recurring Trends.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2011
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011
Optimization of Spiking Neural Networks with dynamic synapses for spike sequence generation using PSO.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011
An extended Evolving Spiking Neural Network model for spatio-temporal pattern classification.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011
Proceedings of the Engineering Applications of Neural Networks, 2011
Reservoir-Based Evolving Spiking Neural Network for Spatio-temporal Pattern Recognition.
Proceedings of the Neural Information Processing - 18th International Conference, 2011
EEG Classification with BSA Spike Encoding Algorithm and Evolving Probabilistic Spiking Neural Network.
Proceedings of the Neural Information Processing - 18th International Conference, 2011
Proceedings of the Neural Information Processing - 18th International Conference, 2011
Exploring Associations between Changes in Ambient Temperature and Stroke Occurrence: Comparative Analysis Using Global and Personalised Modelling Approaches.
Proceedings of the Neural Information Processing - 18th International Conference, 2011
Evolving Probabilistic Spiking Neural Networks for Spatio-temporal Pattern Recognition: A Preliminary Study on Moving Object Recognition.
Proceedings of the Neural Information Processing - 18th International Conference, 2011
Proceedings of the Neural Information Processing - 18th International Conference, 2011
Modelling the Effect of Genes on the Dynamics of Probabilistic Spiking Neural Networks for Computational Neurogenetic Modelling.
Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2011
2010
Proceedings of the Brain-Inspired Information Technology, 2010
Proceedings of the Brain-Inspired Information Technology, 2010
Integrative Probabilistic Evolving Spiking Neural Networks Utilising Quantum Inspired Evolutionary Algorithm: A Computational Framework.
Proceedings of the Advances in Machine Learning II, 2010
Neural Networks, 2010
Neural Networks, 2010
Knowledge Extraction from Evolving Spiking Neural Networks with Rank Order Population Coding.
Int. J. Neural Syst., 2010
Int. J. Neural Syst., 2010
Integrated optimisation method for personalised modelling and case studies for medical decision support.
Int. J. Funct. Informatics Pers. Medicine, 2010
Incremental linear discriminant analysis for evolving feature spaces in multitask pattern recognition problems.
Evol. Syst., 2010
Probabilistic Evolving Spiking Neural Network Optimization Using Dynamic Quantum-inspired Particle Swarm Optimization.
Aust. J. Intell. Inf. Process. Syst., 2010
Personalized Modeling Based Gene Selection for Acute GvHD Gene Expression Data Analysis: A Computational Framework Proposed.
Aust. J. Intell. Inf. Process. Syst., 2010
Evolving Integrative Brain-, Gene-, and Quantum Inspired Systems for Computational Intelligence and Knowledge Engineering.
Proceedings of the Knowledge-Based and Intelligent Information and Engineering Systems, 2010
Analyzing the dynamics of the simultaneous feature and parameter optimization of an evolving Spiking Neural Network.
Proceedings of the International Joint Conference on Neural Networks, 2010
Proceedings of the International Joint Conference on Neural Networks, 2010
Proceedings of the Neural Information Processing. Theory and Algorithms, 2010
Proceedings of the Neural Information Processing. Models and Applications, 2010
Proceedings of the Neural Information Processing. Models and Applications, 2010
2009
IEEE Trans. Evol. Comput., 2009
Integrated feature and parameter optimization for an evolving spiking neural network: Exploring heterogeneous probabilistic models.
Neural Networks, 2009
Integrative connectionist learning systems inspired by nature: current models, future trends and challenges.
Nat. Comput., 2009
Encoding and decoding the knowledge of association rules over SVM classification trees.
Knowl. Inf. Syst., 2009
Dynamic interaction networks in modelling and predicting the behaviour of multiple interactive stock markets.
Intell. Syst. Account. Finance Manag., 2009
Ontology Based Personalized Modeling for Chronic Disease Risk Analysis: An Integrated Approach.
Aust. J. Intell. Inf. Process. Syst., 2009
Integrated Feature Selection and Parameter Optimization for Evolving Spiking Neural Networks Using Quantum Inspired Particle Swarm Optimization.
Proceedings of the First International Conference of Soft Computing and Pattern Recognition, 2009
Quantum-inspired feature and parameter optimisation of evolving spiking neural networks with a case study from ecological modeling.
Proceedings of the International Joint Conference on Neural Networks, 2009
Proceedings of the International Joint Conference on Neural Networks, 2009
Adaptive incremental principal component analysis in nonstationary online learning environments.
Proceedings of the International Joint Conference on Neural Networks, 2009
A Novel Evolving Clustering Algorithm with Polynomial Regression for Chaotic Time-Series Prediction.
Proceedings of the Neural Information Processing, 16th International Conference, 2009
Ontology Based Personalized Modeling for Type 2 Diabetes Risk Analysis: An Integrated Approach.
Proceedings of the Neural Information Processing, 16th International Conference, 2009
Proceedings of the Neural Information Processing, 16th International Conference, 2009
Coevolutionary Method for Gene Selection and Parameter Optimization in Microarray Data Analysis.
Proceedings of the Neural Information Processing, 16th International Conference, 2009
String Pattern Recognition Using Evolving Spiking Neural Networks and Quantum Inspired Particle Swarm Optimization.
Proceedings of the Neural Information Processing, 16th International Conference, 2009
Proceedings of the Neural Information Processing, 16th International Conference, 2009
Proceedings of the Artificial Neural Networks, 2009
Discovering Diagnostic Gene Targets and Early Diagnosis of Acute GVHD Using Methods of Computational Intelligence over Gene Expression Data.
Proceedings of the Artificial Neural Networks, 2009
2008
Proceedings of the Rule Extraction from Support Vector Machines, 2008
Integrating Local and Personalised Modelling with Global Ontology Knowledge Bases for Biomedical and Bioinformatics Decision Support.
Proceedings of the Computational Intelligence in Biomedicine and Bioinformatics, 2008
Integration of Brain-Gene Ontology and Simulation Systems for Learning, Modelling and Discovery.
Proceedings of the Computational Intelligence in Medical Informatics, 2008
IEEE Trans. Neural Networks, 2008
IEEE Trans. Fuzzy Syst., 2008
Integrating evolving brain-gene ontology and connectionist-based system for modeling and knowledge discovery.
Neural Networks, 2008
Fast and adaptive network of spiking neurons for multi-view visual pattern recognition.
Neurocomputing, 2008
Adaptive modeling and discovery in bioinformatics: The evolving connectionist approach.
Int. J. Intell. Syst., 2008
Evolving Intelligence in Humans and Machines: Integrative Evolving Connectionist Systems Approach.
IEEE Comput. Intell. Mag., 2008
Soft computing methods to predict gene regulatory networks: An integrative approach on time-series gene expression data.
Appl. Soft Comput., 2008
Proceedings of the International Joint Conference on Neural Networks, 2008
Proceedings of the International Joint Conference on Neural Networks, 2008
Personalised Modelling for Multiple Time-Series Data Prediction: A Preliminary Investigation in Asia Pacific Stock Market Indexes Movement.
Proceedings of the Advances in Neuro-Information Processing, 15th International Conference, 2008
Integrated Feature and Parameter Optimization for an Evolving Spiking Neural Network.
Proceedings of the Advances in Neuro-Information Processing, 15th International Conference, 2008
Proceedings of the Advances in Neuro-Information Processing, 15th International Conference, 2008
Integrative Probabilistic Evolving Spiking Neural Networks Utilising Quantum Inspired Evolutionary Algorithm: A Computational Framework.
Proceedings of the Advances in Neuro-Information Processing, 15th International Conference, 2008
Proceedings of the Advances in Neuro-Information Processing, 15th International Conference, 2008
A Novel Incremental Linear Discriminant Analysis for Multitask Pattern Recognition Problems.
Proceedings of the Advances in Neuro-Information Processing, 15th International Conference, 2008
Proceedings of the Advances in Neuro-Information Processing, 15th International Conference, 2008
Proceedings of the FUZZ-IEEE 2008, 2008
2007
Brain-, Gene-, and Quantum Inspired Computational Intelligence: Challenges and Opportunities.
Proceedings of the Challenges for Computational Intelligence, 2007
Global, local and personalised modeling and pattern discovery in bioinformatics: An integrated approach.
Pattern Recognit. Lett., 2007
Neural Comput. Appl., 2007
Neurocomputing, 2007
Brain Gene Ontology and Simulation System (bgos) for a Better Understanding of the Brain.
Cybern. Syst., 2007
Evolving Brain-Gene Ontology System (EBGOS): Towards Integrating Bioinformatics and Neuroinformatics Data to Facilitate Discoveries.
Proceedings of the International Joint Conference on Neural Networks, 2007
Proceedings of the Neural Information Processing, 14th International Conference, 2007
Adaptive Face Recognition System Using Fast Incremental Principal Component Analysis.
Proceedings of the Neural Information Processing, 14th International Conference, 2007
Ontology-Based Framework for Personalized Diagnosis and Prognosis of Cancer Based on Gene Expression Data.
Proceedings of the Neural Information Processing, 14th International Conference, 2007
Proceedings of the Neural Information Processing, 14th International Conference, 2007
Proceedings of the Artificial Neural Networks, 2007
Proceedings of the 7th International Conference on Hybrid Intelligent Systems, 2007
Proceedings of the IEEE Congress on Evolutionary Computation, 2007
Springer, 2007
2006
TWNFI - a transductive neuro-fuzzy inference system with weighted data normalization for personalized modeling.
Neural Networks, 2006
Incremental learning of feature space and classifier for on-line pattern recognition.
Int. J. Knowl. Based Intell. Eng. Syst., 2006
Short-term ANN load forecasting from limited data using generalization learning strategies.
Neurocomputing, 2006
Computational Neurogenetic Modelling: a Pathway to New Discoveries in Genetic Neuroscience.
Int. J. Neural Syst., 2006
A two-stage methodology for gene regulatory network extraction from time-course gene expression data.
Expert Syst. Appl., 2006
Expert Syst. Appl., 2006
Adaptation and interaction in dynamical systems: Modelling and rule discovery through evolving connectionist systems.
Appl. Soft Comput., 2006
Integrating regression formulas and kernel functions into locally adaptive knowledge-based neural networks: A case study on renal function evaluation.
Artif. Intell. Medicine, 2006
Image and Fractal Information Processing for Large-Scale Chemoinformatics, Genomics Analyses and Pattern Discovery.
Proceedings of the Pattern Recognition in Bioinformatics, International Workshop, 2006
Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006
Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006
Computational Neurogenetic Modeling: A Methodology to Study Gene Interactions Underlying Neural Oscillations.
Proceedings of the International Joint Conference on Neural Networks, 2006
On-Line Learning with Structural Adaptation in a Network of Spiking Neurons for Visual Pattern Recognition.
Proceedings of the Artificial Neural Networks, 2006
Brain-Gene Ontology: Integrating Bioinformatics and Neuroinformatics Data, Information and Knowledge to Enable Discoveries.
Proceedings of the 6th International Conference on Hybrid Intelligent Systems (HIS 2006), 2006
Proceedings of the IEEE International Conference on Fuzzy Systems, 2006
TTLSC - Transductive Total Least Square Model for Classification and Its Application in Medicine.
Proceedings of the Advanced Data Mining and Applications, Second International Conference, 2006
Adaptive Learning Procedure for a Network of Spiking Neurons and Visual Pattern Recognition.
Proceedings of the Advanced Concepts for Intelligent Vision Systems, 2006
Proceedings of the Fuzzy Logic and the Semantic Web, 2006
2005
IEEE Trans. Syst. Man Cybern. Part B, 2005
IEEE Trans. Neural Networks, 2005
IEEE Trans. Fuzzy Syst., 2005
A Preliminary Study on Negative Correlation Learning via Correlation-Corrected Data (NCCD).
Neural Process. Lett., 2005
Neural Networks, 2005
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., 2005
A Hybrid Genetic Algorithm and Expectation Maximization Method for Global Gene Trajectory Clustering.
J. Bioinform. Comput. Biol., 2005
Proceedings of the Research and Development in Intelligent Systems XXII, 2005
Fast Estimation of Distribution Algorithm (EDA) via Constrained Multi-Parent Recombination.
Proceedings of the Research and Development in Intelligent Systems XXII, 2005
Proceedings of the Research and Development in Intelligent Systems XXII, 2005
Proceedings of the Advances in Neural Networks - ISNN 2005, Second International Symposium on Neural Networks, Chongqing, China, May 30, 2005
Computational Neurogenetic Modeling: Integration of Spiking Neural Networks, Gene Networks, and Signal Processing Techniques.
Proceedings of the Artificial Neural Networks: Formal Models and Their Applications, 2005
Proceedings of the Fuzzy Systems and Knowledge Discovery, Second International Conference, 2005
TWNFC - Transductive Neural-Fuzzy Classifier with Weighted Data Normalization and Its Application in Medicine.
Proceedings of the 2005 International Conference on Computational Intelligence for Modelling Control and Automation (CIMCA 2005), 2005
Proceedings of the Intelligent Control, 2005
2004
A Methodology and a System for Adaptive, Integrated Speech and Image Learning and Recognition.
Int. J. Comput. Syst. Signals, 2004
Evolutionary Computation For On-Line And Off-Line Parameter Tuning Of Evolving Fuzzy Neural Networksc.
Int. J. Comput. Intell. Appl., 2004
A Modified Incremental Principal Component Analysis for On-Line Learning of Feature Space and Classifier.
Proceedings of the PRICAI 2004: Trends in Artificial Intelligence, 2004
Proceedings of the Neural Information Processing, 11th International Conference, 2004
Dynamic Neuro-fuzzy Inference and Statistical Models for Risk Analysis of Pest Insect Establishment.
Proceedings of the Neural Information Processing, 11th International Conference, 2004
Gene Regulatory Network Discovery from Time-Series Gene Expression Data - A Computational Intelligence Approach.
Proceedings of the Neural Information Processing, 11th International Conference, 2004
Proceedings of the Neural Information Processing, 11th International Conference, 2004
Proceedings of the Biometric Authentication, First International Conference, 2004
Proceedings of the 8th International Conference on Control, 2004
Discovering Rules of Adaptation and Interaction: From Molecules and Gene Interaction to Brain Functions.
Proceedings of the 4th International Conference on Hybrid Intelligent Systems (HIS 2004), 2004
Proceedings of the Second Asia-Pacific Bioinformatics Conference (APBC 2004), 2004
2003
Inf. Sci., 2003
Spoken language analysis, modeling and recognition - Cstatistical and adaptive connectionist approaches.
Inf. Sci., 2003
Simulation of ECB decisions and forecast of short term Euro rate with an adaptive fuzzy expert system.
Eur. J. Oper. Res., 2003
Evolving connectionist systems for knowledge discovery from gene expression data of cancer tissue.
Artif. Intell. Medicine, 2003
A Generic Connectionist-Based Method for On-Line Feature Selection and Modelling with a Case Study of Gene Expression Data Analysis.
Proceedings of the First Asia-Pacific Bioinformatics Conference (APBC 2003), 2003
2002
DENFIS: dynamic evolving neural-fuzzy inference system and its application for time-series prediction.
IEEE Trans. Fuzzy Syst., 2002
Proceedings of the 2002 IEEE International Conference on Fuzzy Systems, 2002
Proceedings of the 2002 Congress on Evolutionary Computation, 2002
2001
Evolving fuzzy neural networks for supervised/unsupervised online knowledge-based learning.
IEEE Trans. Syst. Man Cybern. Part B, 2001
Rule Extraction from Fuzzy Neural Networks FuNN: A Method and a Real-World Application.
J. Adv. Comput. Intell. Intell. Informatics, 2001
On-line learning, reasoning, rule extraction and aggregation in locally optimized evolving fuzzy neural networks.
Neurocomputing, 2001
Proceedings of the 2001 International Conference on Image Processing, 2001
Proceedings of the 10th IEEE International Conference on Fuzzy Systems, 2001
Dynamic optimisation of evolving connectionist system training parameters by pseudo-evolution strategy.
Proceedings of the 2001 Congress on Evolutionary Computation, 2001
2000
J. Adv. Comput. Intell. Intell. Informatics, 2000
AVIS: a connectionist-based framework for integrated auditory and visual information processing.
Inf. Sci., 2000
Hybrid System for Robust Recognition of Noisy Speech Based on Evolving Fuzzy Neural Networks and Adaptive Filtering.
Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000
Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000
Proceedings of the 15th International Conference on Pattern Recognition, 2000
1999
HyFIS: adaptive neuro-fuzzy inference systems and their application to nonlinear dynamical systems.
Neural Networks, 1999
From hybrid adjustable neuro-fuzzy systems to adaptive connectionist-based systems for phoneme and word recognition.
Fuzzy Sets Syst., 1999
Evolving connectionist systems: A theory and a case study on adaptive speech recognition.
Proceedings of the International Joint Conference Neural Networks, 1999
1998
J. Adv. Comput. Intell. Intell. Informatics, 1998
J. Adv. Comput. Intell. Intell. Informatics, 1998
Inf. Sci., 1998
Integration of connectionist methods and chaotic time-series analysis for the prediction of process data.
Int. J. Intell. Syst., 1998
Hybrid intelligent adaptive systems: A framework and a case study on speech recognition.
Int. J. Intell. Syst., 1998
Enhancing recognition systems through an integrated processing of visual and audio information.
Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, 1998
Genetic Algorithms for the Design of Fuzzy Neural Networks.
Proceedings of the Fifth International Conference on Neural Information Processing, 1998
ECOS: Evolving Connectionist Systems and the ECO Learning Paradigm.
Proceedings of the Fifth International Conference on Neural Information Processing, 1998
Evolving Connectionist Systems and Evolving Brains.
Proceedings of the Fifth International Conference on Neural Information Processing, 1998
1997
Learning Strategies for Modular Neuro-Fuzzy Systems: A Case Study on Phoneme-Based Speech Recognition.
J. Intell. Fuzzy Syst., 1997
J. Electronic Imaging, 1997
FuNN/2 - A Fuzzy Neural Network Architecture for Adaptive Learning and Knowledge Acquisition.
Inf. Sci., 1997
Special Issue on Advanced Neuro-Fuzzy Techniques and Their Applications: Introduction.
Inf. Sci., 1997
A Membership Function Selection Method for Fuzzy Neural Networks.
Proceedings of the Progress in Connectionist-Based Information Systems: Proceedings of the 1997 International Conference on Neural Information Processing and Intelligent Information Systems, 1997
Adaptive Training of Radial Basis Function Networks Based on Cooperative Evolution and Evolutionary Programming.
Proceedings of the Progress in Connectionist-Based Information Systems: Proceedings of the 1997 International Conference on Neural Information Processing and Intelligent Information Systems, 1997
Multi-Agent Implementation of Fractal Analysis by Fuzzy Neural Networks.
Proceedings of the Progress in Connectionist-Based Information Systems: Proceedings of the 1997 International Conference on Neural Information Processing and Intelligent Information Systems, 1997
Neuro-Fuzzy and Multivariate Statistical Classification of Fruit Populations Based on Visible-Near Infrared Spectrophotometry Data.
Proceedings of the Progress in Connectionist-Based Information Systems: Proceedings of the 1997 International Conference on Neural Information Processing and Intelligent Information Systems, 1997
A Methodology for Speech Data Analysis and a Framework for Adaptive Speech Recognition Using Fuzzy Neural Networks.
Proceedings of the Progress in Connectionist-Based Information Systems: Proceedings of the 1997 International Conference on Neural Information Processing and Intelligent Information Systems, 1997
An Agent Based Framework for Modular Speech Recognition and Language Processing Systems.
Proceedings of the Progress in Connectionist-Based Information Systems: Proceedings of the 1997 International Conference on Neural Information Processing and Intelligent Information Systems, 1997
Genetic algorithms for structural optimisation, dynamic adaptation and automated design of fuzzy neural networks.
Proceedings of International Conference on Neural Networks (ICNN'97), 1997
Proceedings of International Conference on Neural Networks (ICNN'97), 1997
1996
Fril - Fuzzy and Evidential Reasoning in Artificial Intelligence, by J. F. Baldwin, T. P. Martin, and B. W. Pilsworth.
J. Am. Soc. Inf. Sci., 1996
Learning fuzzy rules and approximate reasoning in fuzzy neural networks and hybrid systems.
Fuzzy Sets Syst., 1996
1995
Knowl. Based Syst., 1995
Intell. Autom. Soft Comput., 1995
Intelligent human computer interfaces and the case study of building English-to-Maori talking dictionary.
Proceedings of the 2nd New Zealand Two-Stream International Conference on Artificial Neural Networks and Expert Systems (ANNES '95), 1995
Hybrid Systems for Medical Data Analysis and Decision Making - A Case Study on Varicose Vein Disorders .
Proceedings of the 2nd New Zealand Two-Stream International Conference on Artificial Neural Networks and Expert Systems (ANNES '95), 1995
Hybrid Systems for Prediction - A Case Study of Predicting Effluent Flow to a Sewage Plant.
Proceedings of the 2nd New Zealand Two-Stream International Conference on Artificial Neural Networks and Expert Systems (ANNES '95), 1995
1994
Hybrid Connectionist Fuzzy Systems for Speech Recognition and the Use of Connectionist Production Systems.
Proceedings of the Advances in Fuzzy Logic, Neural Networks and Genetic Algorithms, 1994
1993
Proceedings of the Fuzzy Logic in Artificial Intelligence, IJCAI '93, Workshop, Chambéry, 1993
Speech recognition based on Kohonen self-organizing feature maps and hybrid connectionist systems.
Proceedings of the First New Zealand International Two-Stream Conference on Artificial Neural Networks and Expert Systems, 1993
Proceedings of the First New Zealand International Two-Stream Conference on Artificial Neural Networks and Expert Systems, 1993
Proceedings of the First New Zealand International Two-Stream Conference on Artificial Neural Networks and Expert Systems, 1993
1992
Neural Networks and Logic Programming - a Hybrid Model and its Applicability to Building Expert Systems.
Proceedings of the 10th European Conference on Artificial Intelligence, 1992
Prognostic Expert Systems on a Hybrid Connectionist Environment.
Proceedings of the Artificial Intelligence V: Methodology, Systems, Applications, 1992
1990
Hybrid Connectionist Rule-Based Systems.
Proceedings of the Artificial Intelligence IV: Methodology, Systems, Applications, 1990
1985
Functionally reconfigurable general purpose parallel machines and some image processing and pattern recognition applications.
Pattern Recognit. Lett., 1985
A method for SIMD/MIMD functionally reconfigurable multimicroprocessor systems design and parallel data exchange algorithms.
Parallel Comput., 1985
1981
Proceedings of the CONPAR 81: Conference on Analysing Problem Classes and Programming for Parallel Computing, 1981