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Lista de obras de Nikola Kasabov

<I>A Special Issue on</I> Computational Intelligence for Bioinformatics

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

artículo científico publicado en 2019

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

artículo científico publicado en 2020

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

A Novel Evolving Clustering Algorithm with Polynomial Regression for Chaotic Time-Series Prediction

A Novel Incremental Linear Discriminant Analysis for Multitask Pattern Recognition Problems

scholarly article by Masayuki Hisada et al published 2009 in Lecture Notes in Computer Science

A Novel Medical Image Fusion Approach Based on Nonsubsampled Shearlet Transform

artículo científico publicado en 2019

A Practical Medical Image Enhancement Algorithm Based on Nonsubsampled Contourlet Transform

scholarly article

A Retinotopic Spiking Neural Network System for Accurate Recognition of Moving Objects Using NeuCube and Dynamic Vision Sensors.

artículo científico publicado en 2018

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.

artículo científico publicado en 2015

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

A generalisability theory approach to quantifying changes in psychopathology among ultra-high-risk individuals for psychosis

artículo científico publicado en 2024

A graph-based semi-supervised k nearest-neighbor method for nonlinear manifold distributed data classification

A holistic comparative analysis of diagnostic tests for urothelial carcinoma: a study of Cxbladder Detect, UroVysion® FISH, NMP22® and cytology based on imputation of multiple datasets.

artículo científico publicado en 2015

A medical image enhancement method using adaptive thresholding in NSCT domain combined unsharp masking

article by Lu Liu et al published 20 August 2015 in International Journal of Imaging Systems and Technology

A method used for Dotted Data Matrix image processing

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

A remote sensing image enhancement method using mean filter and unsharp masking in non-subsampled contourlet transform domain

article by Lu Liu et al published 22 July 2016 in Transactions of the Institute of Measurement and Control

A spiking neural network model for obstacle avoidance in simulated prosthetic vision

A versatile quantum-inspired evolutionary algorithm

AVIS: a connectionist-based framework for integrated auditory and visual information processing

Abnormal Activity Detection Using Spatio-Temporal Feature and Laplacian Sparse Representation

Adaptation and interaction in dynamical systems: Modelling and rule discovery through evolving connectionist systems

Adaptive Face Recognition System Using Fast Incremental Principal Component Analysis

Adaptive Location for Multiple Salient Objects Detection

Adaptive Spiking Neural Networks for Audiovisual Pattern Recognition

scholarly article published in Lecture Notes in Computer Science

Adaptive cow movement detection using evolving spiking neural network models

Adaptive incremental principal component analysis in nonstationary online learning environments

Adaptive modeling and discovery in bioinformatics: The evolving connectionist approach

Adaptive speech recognition with evolving connectionist systems

scholarly article by Akbar Ghobakhlou et al published November 2003 in Information Sciences

An Incremental Principal Component Analysis based on dynamic accumulation ratio

artículo científico publicado en 2008

An altered pattern of circulating apolipoprotein E3 isoforms is implicated in preeclampsia

artículo científico publicado en 2008

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

An extended Evolving Spiking Neural Network model for spatio-temporal pattern classification

An improved collaborative representation based classification with regularized least square (CRC–RLS) method for robust face recognition

article by Yu Cheng et al published November 2016 in Neurocomputing

An integrated feature selection and classification method to select minimum number of variables on the case study of gene expression data

artículo científico publicado en 2005

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

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.

artículo científico publicado en 2015

Analysis of lip motion change arising as a result of amusement feeling

article by Yoichi Kageyama et al published 8 July 2013 in IEEJ Transactions on Electrical and Electronic Engineering

Analyzing the dynamics of the simultaneous feature and parameter optimization of an evolving Spiking Neural Network

Application of a Brain-Inspired Spiking Neural Network Architecture to Odor Data Classification

artículo científico publicado en 2020

Applying Speckle Noise Suppression to Refractive Indices Change Detection in Porous Silicon Microarrays

scientific article published on 05 July 2019

Are probabilistic spiking neural networks suitable for reservoir computing?

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

article

Artificial intelligence: a systematic review of methods and applications in hospitality and tourism

artículo científico publicado en 2021

BRAIN GENE ONTOLOGY AND SIMULATION SYSTEM (BGOS) FOR A BETTER UNDERSTANDING OF THE BRAIN

article

Bayesian learning of sparse gene regulatory networks.

artículo científico publicado en 2006

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

artículo científico publicado en 2005

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

article

Brain-, Gene-, and Quantum Inspired Computational Intelligence: Challenges and Opportunities

artículo científico publicado en 2007

Brain-, Gene-, and Quantum-Inspired Computational Intelligence: Challenges and Opportunities

article

Brain-Gene Ontology: Integrating Bioinformatics and Neuroinformatics Data, Information and Knowledge to Enable Discoveries

article

Change Detection in SAR Images Based on the ROF Model Semi-Implicit Denoising Method

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

artículo científico publicado en 2019

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

Chapter 21 Evolving ontologies for intelligent decision support

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

artículo científico publicado en 2018

Classification and segmentation of fMRI Spatio-Temporal Brain Data with a NeuCube evolving Spiking Neural Network model

Classification consistency analysis for bootstrapping gene selection

article

Classifying MicroRNAs by Gabor Filter Features from 2D Structure Bitmap Images on a Case Study of Human MicroRNAs

Coevolutionary Method for Gene Selection and Parameter Optimization in Microarray Data Analysis

article

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

artículo científico publicado en 2005

Computational Neurogenetics

Computational neurogenetic modelling: gene networks within neural networks

article

Constructing New Backbone Networks via Space-Frequency Interactive Convolution for Deepfake Detection

artículo científico publicado en 2024

Constructing Robust Liquid State Machines to Process Highly Variable Data Streams

DYNAMIC INTERACTION NETWORKS VERSUS LOCAL TREND MODELS FOR MULTIPLE TIME-SERIES PREDICTION

Deep Learning of Explainable EEG Patterns as Dynamic Spatiotemporal Clusters and Rules in a Brain-Inspired Spiking Neural Network

artículo científico publicado en 2021

Deep semi-supervised learning via dynamic anchor graph embedding in latent space

artículo científico publicado en 2022

Densely Connected Discriminative Correlation Filters for Visual Tracking

Discovering Diagnostic Gene Targets and Early Diagnosis of Acute GVHD Using Methods of Computational Intelligence over Gene Expression Data

artículo científico publicado en 2009

Dynamic 3D Clustering of Spatio-Temporal Brain Data in the NeuCube Spiking Neural Network Architecture on a Case Study of fMRI Data

article by Maryam Gholami Doborjeh & Nikola Kasabov published 2015 in Lecture Notes in Computer Science

Dynamic Learning of Multiple Time Series in a Nonstationary Environment

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

artículo científico publicado en 2012

EEG Classification with BSA Spike Encoding Algorithm and Evolving Probabilistic Spiking Neural Network

Efficient Recognition of Attentional Bias Using EEG Data and the NeuCube Evolving Spatio-Temporal Data Machine

article

Encoding and decoding the knowledge of association rules over SVM classification trees

Erratum: Lou, X.; Jia, Z.; Yang, J.; Kasabov, N. Change Detection in SAR Images Based on the ROF Model Semi-Implicit Denoising Method. Sensors 2019, 19, 1179.

artículo científico publicado en 2019

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

article

Evaluating SPAN Incremental Learning for Handwritten Digit Recognition

Evolving Brain-Gene Ontology System (EBGOS): Towards Integrating Bioinformatics and Neuroinformatics Data to Facilitate Discoveries

article

Evolving Connectionist Systems for Adaptive Sport Coaching

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

Evolving Intelligence in Humans and Machines: Integrative Evolving Connectionist Systems Approach

artículo científico publicado en 2008

Evolving Intelligent Systems: Methods, Learning, & Applications

Evolving Probabilistic Spiking Neural Networks for Spatio-temporal Pattern Recognition: A Preliminary Study on Moving Object Recognition

scholarly article by Nikola Kasabov et al published 2011 in Lecture Notes in Computer Science

Evolving Spiking Neural Networks and Neurogenetic Systems for Spatio- and Spectro-Temporal Data Modelling and Pattern Recognition

scholarly article by Nikola Kasabov published 2012 in Lecture Notes in Computer Science

Evolving Spiking Neural Networks for online learning over drifting data streams

artículo científico publicado en 2018

Evolving connectionist system versus algebraic formulas for prediction of renal function from serum creatinine.

artículo científico publicado en 2005

Evolving connectionist systems for knowledge discovery from gene expression data of cancer tissue

artículo científico publicado en 2003

Evolving integrated multi-model framework for on line multiple time series prediction

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

Evolving spatio-temporal data machines based on the NeuCube neuromorphic framework: Design methodology and selected applications.

artículo científico publicado en 2015

Evolving spiking neural networks for audiovisual information processing

artículo científico publicado en 2010

Evolving spiking neural networks for personalised modelling, classification and prediction of spatio-temporal patterns with a case study on stroke

Evolving spiking neural networks for spatio-and spectro-temporal pattern recognition

scholarly article published September 2012

Evolving spiking neural network—a survey

Exploring Associations between Changes in Ambient Temperature and Stroke Occurrence: Comparative Analysis Using Global and Personalised Modelling Approaches

Extracting temporal knowledge from time series: A case study in ecological data

Factorizing Class Characteristics via Group MEBs Construction

Fast and adaptive network of spiking neurons for multi-view visual pattern recognition

scholarly article by Simei Gomes Wysoski et al published August 2008 in Neurocomputing

Fast neural network ensemble learning via negative-correlation data correction.

artículo científico publicado en 2005

Feasibility of NeuCube SNN architecture for detecting motor execution and motor intention for use in BCIapplications

Feasibility of NeuCube spiking neural network architecture for EMG pattern recognition

scholarly article published August 2015

Filter and Wrapper Stacking Ensemble (FWSE): a robust approach for reliable biomarker discovery in high-dimensional omics data

artículo científico publicado en 2023

Filter and Wrapper Stacking Ensemble (FWSE): a robust approach for reliable biomarker discovery in high-dimensional omics data

artículo científico publicado en 2023

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

From von neumann, John Atanasoff and ABC to Neuromorphic computation and the NeuCube spatio-temporal data machine

Fuzzy-Neuro Systems for Local and Personalized Modelling

scholarly article

GALFusion: Multi-Exposure Image Fusion via a Global–Local Aggregation Learning Network

GeSeNet: A General Semantic-Guided Network With Couple Mask Ensemble for Medical Image Fusion

Geomagnetic storms can trigger stroke: evidence from 6 large population-based studies in Europe and Australasia

artículo científico publicado en 2014

Global, local and personalised modeling and pattern discovery in bioinformatics: An integrated approach

Grid Search Optimization of Novel SNN-ESN Classifier on a Supercomputer Platform

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

Guest Editorial Special Issue on Computational Modeling of Neural and Brain Development

article

Hierarchical Core Vector Machines for Network Intrusion Detection

HyFIS: adaptive neuro-fuzzy inference systems and their application to nonlinear dynamical systems.

artículo científico publicado en 1999

Identifying overlapping mutated driver pathways by constructing gene networks in cancer.

artículo científico publicado en 2015

Image Processing of Porous Silicon Microarray in Refractive Index Change Detection

artículo científico publicado en 2017

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

Improved predictive personalized modelling with the use of Spiking Neural Network system and a case study on stroke occurrences data

Incremental Principal Component Analysis Based on Adaptive Accumulation Ratio

Incremental and decremental LDA learning with applications

Incremental learning algorithm for spatio-temporal spike pattern classification

Incremental learning of chunk data for online pattern classification systems

artículo científico publicado en 2008

Incremental learning of feature space and classifier for face recognition

artículo científico publicado en 2005

Incremental linear discriminant analysis for classification of data streams

artículo científico publicado en 2005

Incremental linear discriminant analysis for evolving feature spaces in multitask pattern recognition problems

scholarly article published 1 July 2010

Inference of cancer progression from somatic mutation data

Integrated Feature Selection and Parameter Optimization for Evolving Spiking Neural Networks Using Quantum Inspired Particle Swarm Optimization

Integrated Feature and Parameter Optimization for an Evolving Spiking Neural Network

Integrated feature and parameter optimization for an evolving spiking neural network: exploring heterogeneous probabilistic models

artículo científico publicado en 2009

Integrated optimisation method for personalised modelling and case studies for medical decision support

Integrating Local and Personalised Modelling with Global Ontology Knowledge Bases for Biomedical and Bioinformatics Decision Support

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

artículo científico publicado en 2018

Integrating evolving brain-gene ontology and connectionist-based system for modeling and knowledge discovery

artículo científico

Integrating regression formulas and kernel functions into locally adaptive knowledge-based neural networks: a case study on renal function evaluation

artículo científico publicado en 2005

Integrative Probabilistic Evolving Spiking Neural Networks Utilising Quantum Inspired Evolutionary Algorithm: A Computational Framework

Integrative Probabilistic Evolving Spiking Neural Networks Utilising Quantum Inspired Evolutionary Algorithm: A Computational Framework

Integrative connectionist learning systems inspired by nature: current models, future trends and challenges

Interpretability of Spatiotemporal Dynamics of the Brain Processes Followed by Mindfulness Intervention in a Brain-Inspired Spiking Neural Network Architecture

artículo científico publicado en 2020

Investigating LLE Eigenface on Pose and Face Identification

Investigation of social and cognitive predictors in non-transition ultra-high-risk’ individuals for psychosis using spiking neural networks

artículo científico publicado en 2023

Knowledge extraction from evolving spiking neural networks with rank order population coding

artículo científico publicado en 2010

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

article

LDA merging and splitting with applications to multiagent cooperative learning and system alteration.

artículo científico publicado en 2011

Life-long learning and evolving associative memories in brain-inspired spiking neural networks

artículo científico publicado en 2024

Linear and non-linear pattern recognition models for classification of fruit from visible–near infrared spectra

scholarly article by Jaesoo Kim et al published July 2000 in Chemometrics and Intelligent Laboratory Systems

Longitudinal study of a 9p21.3 SNP using a national electronic healthcare database

article

Longitudinal study of alzheimer's disease degeneration through EEG data analysis with a NeuCube spiking neural network model

scholarly article published July 2016

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

Mapping Temporal Variables Into the NeuCube for Improved Pattern Recognition, Predictive Modeling, and Understanding of Stream Data

artículo científico publicado en 2016

Mapping, Learning, Visualization, Classification, and Understanding of fMRI Data in the NeuCube Evolving Spatiotemporal Data Machine of Spiking Neural Networks

artículo científico publicado en 2016

Medical Image Enhancement Based on Shearlet Transform and Unsharp Masking

scholarly article by Ayiguli Wubuli et al published 1 October 2014 in Journal of medical imaging and health informatics

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

scholarly article by Jing-jing Wang et al published 9 February 2015 in International Journal of Imaging Systems and Technology

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

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

artículo científico publicado en 2017

Modeling L-LTP based on changes in concentration of pCREB transcription factor

Modeling brain dynamics using computational neurogenetic approach

artículo científico publicado en 2008

Modeling the emergence of bilingual acoustic clusters: a preliminary case study

Modelling Absence Epilepsy seizure data in the NeuCube evolving spiking neural network architecture

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

artículo científico publicado en 2018

Modelling the Effect of Genes on the Dynamics of Probabilistic Spiking Neural Networks for Computational Neurogenetic Modelling

artículo científico publicado en 2012

Multiple Gene Expression Classifiers from Different Array Platforms Predict Poor Prognosis of Colorectal Cancer

article

Network-Based Method for Inferring Cancer Progression at the Pathway Level from Cross-Sectional Mutation Data.

artículo científico publicado en 2016

NeuCube (ST) for spatio-temporal data predictive modelling with a case study on ecological data

NeuCube EvoSpike Architecture for Spatio-temporal Modelling and Pattern Recognition of Brain Signals

scholarly article by Nikola Kasabov published 2012 in Lecture Notes in Computer Science

NeuCube Neuromorphic Framework for Spatio-temporal Brain Data and Its Python Implementation

NeuCube: a spiking neural network architecture for mapping, learning and understanding of spatio-temporal brain data

artículo científico publicado en 2014

NeuCubeRehab: A Pilot Study for EEG Classification in Rehabilitation Practice Based on Spiking Neural Networks

Neuro-, Genetic-, and Quantum Inspired Evolving Intelligent Systems

New avenue for the geriatric depression scale: Rasch transformation enhances reliability of assessment

scientific article published on 22 November 2019

New strategy to reduce the global burden of stroke

artículo científico

Noisy Remote Sensing Image Segmentation with Wavelet Shrinkage and Graph Cuts

On the probabilistic optimization of spiking neural networks

artículo científico publicado en 2010

On-line pattern analysis by evolving self-organizing maps

Online Low-Light Sand-Dust Video Enhancement Using Adaptive Dynamic Brightness Correction and a Rolling Guidance Filter

Online spatio-temporal pattern recognition with evolving spiking neural networks utilising address event representation, rank order, and temporal spike learning

scholarly article published June 2012

Ontology Based Personalized Modeling for Chronic Disease Risk Analysis: An Integrated Approach

Ontology Based Personalized Modeling for Type 2 Diabetes Risk Analysis: An Integrated Approach

Ontology-Based Framework for Personalized Diagnosis and Prognosis of Cancer Based on Gene Expression Data

article

Optimization of Spiking Neural Networks with dynamic synapses for spike sequence generation using PSO

Personalised Modelling for Multiple Time-Series Data Prediction: A Preliminary Investigation in Asia Pacific Stock Market Indexes Movement

article

Personalised Modelling on SNPs Data for Crohn’s Disease Prediction

Personalised modelling on integrated clinical and EEG Spatio-Temporal Brain Data in the NeuCube Spiking Neural Network system

Personalised modelling with spiking neural networks integrating temporal and static information

scientific article published on 14 August 2019

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

Personalized Modeling Based Gene Selection for Microarray Data Analysis

article

Personalized mode transductive spanning SVM classification tree

Poisson Image Denoising Based on BLS-GSM Method

Prediction of Acoustic Residual Inhibition of Tinnitus Using a Brain-Inspired Spiking Neural Network Model

artículo científico publicado en 2021

Prediction of preeclampsia and delivery of small for gestational age babies based on a combination of clinical risk factors in high-risk women

artículo científico publicado en 2010

Probabilistic Computational Neurogenetic Modeling: From Cognitive Systems to Alzheimer's Disease

scholarly article by Nikola Kasabov et al published December 2011 in IEEE transactions on autonomous mental development

Pulsewidth Modulation-Based Algorithm for Spike Phase Encoding and Decoding of Time-Dependent Analog Data

artículo científico publicado en 2019

Quantum-inspired feature and parameter optimisation of evolving spiking neural networks with a case study from ecological modeling

artículo científico

Reduced feature-set based parallel CHMM speech recognition systems

scholarly article by Waleed H. Abdulla & Nikola Kasabov published November 2003 in Information Sciences

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

artículo científico publicado en 2017

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

Reservoir-Based Evolving Spiking Neural Network for Spatio-temporal Pattern Recognition

scholarly article by Stefan Schliebs et al published 2011 in Lecture Notes in Computer Science

Robust Visual Tracking via Dirac-Weighted Cascading Correlation Filters

scholarly article by Cheng Peng et al published November 2018 in IEEE Signal Processing Letters

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

SDFuse: Semantic-injected dual-flow learning for infrared and visible image fusion

SPAN: A Neuron for Precise-Time Spike Pattern Association

Salient Object Segmentation Based on Automatic Labeling

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

scientific article published on 12 April 2019

Simulation of ECB decisions and forecast of short term Euro rate with an adaptive fuzzy expert system

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

Soft computing methods to predict gene regulatory networks: An integrative approach on time-series gene expression data

article

Span: spike pattern association neuron for learning spatio-temporal spike patterns

artículo científico publicado en 2012

Spatio-temporal EEG Data Classification in the NeuCube 3D SNN Environment: Methodology and Examples

Spatiotemporal EEG Dynamics of Prospective Memory in Ageing and Mild Cognitive Impairment

Special Issue: Contemporary development of neural computation and applications

article

Special issue on advanced neuro-fuzzy techniques and their applications: Introduction

Speckle Noise Removal in Image-based Detection of Refractive Index Changes in Porous Silicon Microarrays

scientific article published on 18 October 2019

Spike-time encoding as a data compression technique for pattern recognition of temporal data

scholarly article by Neelava Sengupta & Nikola Kasabov published September 2017 in Information Sciences

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

artículo científico publicado en 2019

Spiking Neural Network for On-line Cognitive Activity Classification Based on EEG Data

Spiking neural network methodology for modelling, classification and understanding of EEG spatio-temporal data measuring cognitive processes

Spoken language analysis, modeling and recognition––statistical and adaptive connectionist approaches

String Kernel Based SVM for Internet Security Implementation

String Pattern Recognition Using Evolving Spiking Neural Networks and Quantum Inspired Particle Swarm Optimization

scholarly article by Haza Nuzly Abdull Hamed et al published 2009 in Lecture Notes in Computer Science

Stroke Lesion Segmentation and Deep Learning: A Comprehensive Review

TWNFI--a transductive neuro-fuzzy inference system with weighted data normalization for personalized modeling

artículo científico publicado en 2006

To spike or not to spike: a probabilistic spiking neuron model

artículo científico publicado en 2009

Towards Spatio-Temporal Pattern Recognition Using Evolving Spiking Neural Networks

scholarly article by Stefan Schliebs et al published 2010 in Lecture Notes in Computer Science

Towards a Wearable Coach: Classifying Sports Activities with Reservoir Computing

Training spiking neural networks to associate spatio-temporal input–output spike patterns

Transfer Learning of Fuzzy Spatio-Temporal Rules in a Brain-Inspired Spiking Neural Network Architecture: A Case Study on Spatio-Temporal Brain Data

artículo científico publicado en 2023

Tuning N-gram String Kernel SVMs via Meta Learning

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

Vision Based Mobile Robot for Indoor Environmental Security

article published in 2009

What has social neuroscience learned from hyperscanning studies of spoken communication? A systematic review

artículo científico publicado en 2020

Which method to use for optimal structure and function representation of large spiking neural networks: A case study on the NeuCube architecture

White Matter Lesions Change Detection in MR Images Based on Fuzzy Nearness and Non-Subsampled Shear Waves

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

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