Nikola K. Kasabov

According to our database1, Nikola K. Kasabov authored at least 338 papers between 1981 and 2021.

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Awards

IEEE Fellow

IEEE Fellow 2010, "For the applications of neural networks and hybrid systems in computational intelligence".

Timeline

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Bibliography

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

Single-Image Snow Removal Based on an Attention Mechanism and a Generative Adversarial Network.
IEEE Access, 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

Spiking Neural Networks and online learning: An overview and perspectives.
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

An efficient and high quality medical CT image enhancement algorithm.
Int. J. Imaging Syst. Technol., 2020

Deep learning neural networks: Methods, systems, and applications.
Neurocomputing, 2020

Modelling gene interaction networks from time-series gene expression data using evolving spiking neural networks.
Evol. Syst., 2020

A Dynamic DNA Color Image Encryption Method Based on SHA-512.
Entropy, 2020

Change Detection in Multitemporal Monitoring Images Under Low Illumination.
IEEE Access, 2020

Object Motion Deblurring in Single Image Under Static Background.
IEEE Access, 2020

Video Snow Removal Based on Self-Adaptation Snow Detection and Patch-Based Gaussian Mixture Model.
IEEE Access, 2020

A Multi-Information Fusion Correlation Filters Tracker.
IEEE Access, 2020

A Fast Sand-Dust Image Enhancement Algorithm by Blue Channel Compensation and Guided Image Filtering.
IEEE Access, 2020

Blue Channel and Fusion for Sandstorm Image Enhancement.
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

Vehicle-Related Scene Segmentation Using CapsNets.
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

Sleep Stage Classification using NeuCube on SpiNNaker: a Preliminary Study.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Application of an Improved Focal Loss in Vehicle Detection.
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

Spiking neural networks for deep learning and knowledge representation: Editorial.
Neural Networks, 2019

Personalised modelling with spiking neural networks integrating temporal and static information.
Neural Networks, 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

Quasi-Noise-Free and Detail-Preserved Digital Holographic Reconstruction.
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

Robust Visual Tracking via Dirac-Weighted Cascading Correlation Filters.
IEEE Signal Process. Lett., 2018

Densely Connected Discriminative Correlation Filters for Visual Tracking.
IEEE Signal Process. Lett., 2018

Evolving Spiking Neural Networks for online learning over drifting data streams.
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

Road Traffic Forecasting Using NeuCube and Dynamic Evolving Spiking Neural Networks.
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

Discrete Sparse Hashing for Cross-Modal Similarity Search.
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

Deep Learning in Spiking Neural Networks for Brain-Inspired Artificial Intelligence.
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

Image Processing of Porous Silicon Microarray in Refractive Index Change Detection.
Sensors, 2017

Remote Sensing Image Change Detection Based on NSCT-HMT Model and Its Application.
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

Correlation Filters with Adaptive Memories and Fusion for Visual Tracking.
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

Robust Kernel Approximation for Classification.
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

Adaptive cow movement detection using evolving spiking neural network models.
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

A Spiking Neural Network for Personalised Modelling of Electrogastrography (EGG).
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

Evolving Connectionist Systems: From Neuro-Fuzzy-, to Spiking- and Neuro-Genetic.
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

A method used for Dotted Data Matrix image processing.
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

Medical image enhancement algorithm based on NSCT and the improved fuzzy contrast.
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

sEMG-based torque estimation for robot-assisted lower limb rehabilitation.
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

Poisson Image Denoising Based on BLS-GSM Method.
Proceedings of the Neural Information Processing - 22nd International Conference, 2015

Adaptive Location for Multiple Salient Objects Detection.
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

An enhanced multiphase Chan-Vese model for the remote sensing image segmentation.
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

Extracting temporal knowledge from time series: A case study in ecological data.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Unsupervised Segmentation Using Cluster Ensembles.
Proceedings of the Neural Information Processing - 21st International Conference, 2014

Posterior Distribution Learning (PDL): A Novel Supervised Learning Framework.
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
Special Issue: Contemporary development of neural computation and applications.
Neural Comput. Appl., 2013

Training spiking neural networks to associate spatio-temporal input-output spike patterns.
Neurocomputing, 2013

Evolving spiking neural network - a survey.
Evol. Syst., 2013

Evolving integrated multi-model framework for on line multiple time series prediction.
Evol. Syst., 2013

Salient Object Segmentation Based on Automatic Labeling.
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

Towards a Wearable Coach: Classifying Sports Activities with Reservoir Computing.
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

Span: Spike Pattern Association Neuron for Learning Spatio-Temporal Spike Patterns.
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

Incremental learning algorithm for spatio-temporal spike pattern classification.
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

Evaluating SPAN Incremental Learning for Handwritten Digit Recognition.
Proceedings of the Neural Information Processing - 19th International Conference, 2012

Constructing Robust Liquid State Machines to Process Highly Variable Data Streams.
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

Correlation-aided support vector regression for forex time series prediction.
Neural Comput. Appl., 2011

Personalized mode transductive spanning SVM classification tree.
Inf. Sci., 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

Are probabilistic spiking neural networks suitable for reservoir computing?
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

Method for Training a Spiking Neuron to Associate Input-Output Spike Trains.
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

SPAN: A Neuron for Precise-Time Spike Pattern Association.
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

Personalised Modelling on SNPs Data for Crohn's Disease Prediction.
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
Brain-Like Evolving Spiking Neural Networks for Multimodal Information Processing.
Proceedings of the Brain-Inspired Information Technology, 2010

Effective and Adaptive Learning Based on Diversive/Specific Curiosity.
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

Evolving spiking neural networks for audiovisual information processing.
Neural Networks, 2010

To spike or not to spike: A probabilistic spiking neuron model.
Neural Networks, 2010

Knowledge Extraction from Evolving Spiking Neural Networks with Rank Order Population Coding.
Int. J. Neural Syst., 2010

On the Probabilistic Optimization of Spiking Neural Networks.
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

Editorial.
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

Incremental and decremental LDA learning with applications.
Proceedings of the International Joint Conference on Neural Networks, 2010

Towards Spatio-Temporal Pattern Recognition Using Evolving Spiking Neural Networks.
Proceedings of the Neural Information Processing. Theory and Algorithms, 2010

Tuning N-gram String Kernel SVMs via Meta Learning.
Proceedings of the Neural Information Processing. Models and Applications, 2010

Factorizing Class Characteristics via Group MEBs Construction.
Proceedings of the Neural Information Processing. Models and Applications, 2010

2009
Quantum-Inspired Evolutionary Algorithm: A Multimodel EDA.
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

Curiosity driven incremental LDA agent active learning.
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

String Kernel Based SVM for Internet Security Implementation.
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

Hierarchical Core Vector Machines for Network Intrusion Detection.
Proceedings of the Neural Information Processing, 16th International Conference, 2009

Spanning SVM Tree for Personalized Transductive Learning.
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
SVMT-Rule: Association Rule Mining Over SVM Classification Trees.
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

Incremental Learning of Chunk Data for Online Pattern Classification Systems.
IEEE Trans. Neural Networks, 2008

Guest Editorial Evolving Fuzzy Systems - Preface to the Special Section.
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

Soft computing methods to predict gene regulatory networks: An integrative approach on time-series gene expression data.
Appl. Soft Comput., 2008

Evolving spiking neural networks for taste recognition.
Proceedings of the International Joint Conference on Neural Networks, 2008

r-SVMT: Discovering the knowledge of association rule over SVM classification trees.
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

Incremental Principal Component Analysis Based on Adaptive Accumulation Ratio.
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

Personalized Modeling Based Gene Selection for Microarray Data Analysis.
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

Vision Based Mobile Robot for Indoor Environmental Security.
Proceedings of the Advances in Neuro-Information Processing, 15th International Conference, 2008

MUFIS: A neuro-fuzzy inference system using multiple types of fuzzy rules.
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

Classification consistency analysis for bootstrapping gene selection.
Neural Comput. Appl., 2007

Modeling L-LTP based on changes in concentration of pCREB transcription factor.
Neurocomputing, 2007

Brain Gene Ontology and Simulation System (bgos) for a Better Understanding of the Brain.
Cybern. Syst., 2007

Bayesian learning of sparse gene regulatory networks.
Biosyst., 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

Adaptive Spiking Neural Networks for Audiovisual Pattern Recognition.
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

Evolving Connectionist Systems for Adaptive Sport Coaching.
Proceedings of the Neural Information Processing, 14th International Conference, 2007

Text-Independent Speaker Authentication with Spiking Neural Networks.
Proceedings of the Artificial Neural Networks, 2007

Evolving Connectionist and Hybrid Systems: Methods, Tools, Applications.
Proceedings of the 7th International Conference on Hybrid Intelligent Systems, 2007

A versatile quantum-inspired evolutionary algorithm.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007

Evolving connectionist systems - the knowledge engineering approach (2. ed.).
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

An efficient greedy K-means algorithm for global gene trajectory clustering.
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

Investigating LLE Eigenface on Pose and Face Identification.
Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006

Two-Class SVM Trees (2-SVMT) for Biomarker Data Analysis.
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

An Incremental Principal Component Analysis for Chunk Data.
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

Evolving ontologies for intelligent decision support.
Proceedings of the Fuzzy Logic and the Semantic Web, 2006

2005
Incremental linear discriminant analysis for classification of data streams.
IEEE Trans. Syst. Man Cybern. Part B, 2005

Fast neural network ensemble learning via negative-correlation data correction.
IEEE Trans. Neural Networks, 2005

NFI: a neuro-fuzzy inference method for transductive reasoning.
IEEE Trans. Fuzzy Syst., 2005

A Preliminary Study on Negative Correlation Learning via Correlation-Corrected Data (NCCD).
Neural Process. Lett., 2005

Incremental learning of feature space and classifier for face recognition.
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

Introduction.
Int. J. Neural Syst., 2005

Computational Intelligence for Bioinformatics: The Knowledge Engineering Approach.
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

Global EM Learning of Finite Mixture Models using the Greedy Elimination Method.
Proceedings of the Research and Development in Intelligent Systems XXII, 2005

Chunk Incremental LDA Computing on Data Streams.
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

Transductive Knowledge Based Fuzzy Inference System for Personalized Modeling.
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

2004
Editorial.
Int. J. Comput. Syst. Signals, 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

TWRBF - Transductive RBF Neural Network with Weighted Data Normalization.
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

An Evolving Neural Network Model for Person Verification Combining Speech and Image.
Proceedings of the Neural Information Processing, 11th International Conference, 2004

One-Pass Incremental Membership Authentication by Face Classification.
Proceedings of the Biometric Authentication, First International Conference, 2004

An adaptive model of person identification combining speech and image information.
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

A Novel Feature Selection Method to Improve Classification of Gene Expression Data.
Proceedings of the Second Asia-Pacific Bioinformatics Conference (APBC 2004), 2004

2003
Modeling the emergence of bilingual acoustic clusters: a preliminary case study.
Inf. Sci., 2003

Spoken language analysis, modeling and recognition - Cstatistical and adaptive connectionist approaches.
Inf. Sci., 2003

Adaptive speech recognition with evolving connectionist systems.
Inf. Sci., 2003

Reduced feature-set based parallel CHMM speech recognition systems.
Inf. Sci., 2003

On-line pattern analysis by evolving self-organizing maps.
Neurocomputing, 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

Fuzzy clustering of gene expression data.
Proceedings of the 2002 IEEE International Conference on Fuzzy Systems, 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

An evolving localised learning model for on-line image colour quantisation.
Proceedings of the 2001 International Conference on Image Processing, 2001

Ensembles of EFuNNs: An Architecture for a Mutlimodule Classifier.
Proceedings of the 10th IEEE International Conference on Fuzzy Systems, 2001

2000
The Application of Hybrid Evolving Connectionist Systems to Image Classification.
J. Adv. Comput. Intell. Intell. Informatics, 2000

AVIS: a connectionist-based framework for integrated auditory and visual information processing.
Inf. Sci., 2000

Methods and systems for intelligent human-computer interaction.
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

ESOM: An Algorithm to Evolve Self-Organizing Maps from On-Line Data Streams.
Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000

Evolving Fuzzy Neural Network for Camera Operations Recognition.
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
Editorial: Self-Organization and Adaptation in Intelligent Systems.
J. Adv. Comput. Intell. Intell. Informatics, 1998

The ECOS Framework and the ECO Learning Method for Evolving Connectionist Systems.
J. Adv. Comput. Intell. Intell. Informatics, 1998

Phoneme-Based Speech Recognition via Fuzzy Neural Networks Modeling and Learning.
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

Introduction: Hybrid intelligent adaptive systems.
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

Statistical, connectionist, and fuzzy inference techniques for image classification.
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

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

Adaptable neuro production systems.
Neurocomputing, 1996

Preface.
Fuzzy Sets Syst., 1996

Learning fuzzy rules and approximate reasoning in fuzzy neural networks and hybrid systems.
Fuzzy Sets Syst., 1996

1995
Model for exploiting associative matching in AI production systems.
Knowl. Based Syst., 1995

Hybrid Connectionist Fuzzy Production System: Towards Building Comprehensive AI.
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
Connectionist Fuzzy Production Systems.
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

Connectionist expert systems.
Proceedings of the First New Zealand International Two-Stream Conference on Artificial Neural Networks and Expert Systems, 1993

Learning fuzzy rules through neural networks.
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
Hierarchical discrete systems and realisation of parallel algorithms.
Proceedings of the CONPAR 81: Conference on Analysing Problem Classes and Programming for Parallel Computing, 1981


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