Natacha Gueorguieva

发表

Modeling of inhibition/excitation firing in olfactory bulb through spiking neurons

Iren Valova, Natacha Gueorguieva, Frank Troescher, 2007, Neural Computing and Applications.

Object Oriented Paradigm: Cognitive Models of Understanding

Iren Valova, Natacha Gueorguieva, Plamen Tchimev, 2008 .

A parallel growing architecture for self-organizing maps with unsupervised learning

Iren Valova, Natacha Gueorguieva, Daniel Szer, 2005, Neurocomputing.

Solving Regression Models with First Order Stochastic Based Optimizers

Natacha Gueorguieva, Brian Keegan, Iren Valova, 2019, 2019 9th International IEEE/EMBS Conference on Neural Engineering (NER).

M&MFCM: Fuzzy C-means Clustering with Mahalanobis and Minkowski Distance Metrics

Iren Valova, Natacha Gueorguieva, George Georgiev, 2017 .

Simulating Influence of Channel Kinetics and Temperature on Hodgkin-Huxley Threshold Dynamics

Iren Valova, Natacha Gueorguieva, George Georgiev, 2014, Complex Adaptive Systems.

Harnessing Mother Nature: Optimizing Genetic Algorithms for Adaptive Systems

Iren Valova, Natacha Gueorguieva, Justin Lovinger, 2014, Complex Adaptive Systems.

Taxonomy of Modelling Strategies for Handling Imbalanced Datasets

Natacha Gueorguieva, Iren Valova, Christopher Harris, 2020 .

Odor information processing in human-oscillatory model

Iren Valova, Natacha Gueorguieva, Plamen Tchimev, 2001, 2001 IEEE International Conference on Systems, Man and Cybernetics. e-Systems and e-Man for Cybernetics in Cyberspace (Cat.No.01CH37236).

SVM Based Pattern Classifier through Clustering

Natacha Gueorguieva, Iren Valova, Knut Siem, 2007 .

Effects of hierarchical comprehensive models on university students' studies of object-oriented paradigms

Iren Valova, Natacha Gueorguieva, Georgi Georgiev, 2006 .

DYPOF: Dynamically Adaptive RBF Neural Network with Potential Functions

Iren Valova, Natacha Gueorguieva, 2003 .

An oscillation-driven neural network for the simulation of an olfactory system

Yukio Kosugi, Iren Valova, Natacha Gueorguieva, 2003, Neural Computing & Applications.

Oscillatory Responses in Pre-Cortex Model of Olfactory System

Iren Valova, Natacha Gueorguieva, George Georgiev, 2002, IC-AI.

Modeling of neurotransmitter effects in olfactory bulb

Iren Valova, Natacha Gueorguieva, Oxana Lapteva, 2007, Neural Computing and Applications.

Solving Large Scale Classification Problems with Stochastic Based Optimization

Natacha Gueorguieva, Iren Valova, Dominic Klusek, 2020 .

SYNNC: Symmetric Kernel Neural Network for Data Clustering

Iren Valova, Natacha Gueorguieva, George Georgiev, 2008 .

Facial Expression Recognition Using Feedforward Neural Networks

Iren Valova, Natacha Gueorguieva, George Georgiev, 2003, IC-AI.

Attractive Walking through Electrocardiogram Signals of Arrhythmia by Analyzing the Normal Neighbor Rhythm

Iren Valova, Natacha Gueorguieva, Chin Ming Hui, 2009 .

Feedforward neural networks with sigmoidal and radial basis functions hidden neurons

Iren Valova, Natacha Gueorguieva, Matthias Kempka, 2003, SMC'03 Conference Proceedings. 2003 IEEE International Conference on Systems, Man and Cybernetics. Conference Theme - System Security and Assurance (Cat. No.03CH37483).

POFGEC: growing neural network of classifying potential function generators

Iren Valova, Natacha Gueorguieva, George Georgiev, 2010, Int. J. Knowl. Eng. Soft Data Paradigms.

Simulating the Influence of Ca on the Na Channel Excitability

Iren Valova, Natacha Gueorguieva, George Gueorguiev, 2011, Complex Adaptive Systems.

Coding and Computations with Spiking Neural Networks

Iren Valova, Natacha Gueorguieva, George Georgiev, 2004, IC-AI.

Building RBF Neural Network Topology through Potential Functions

Iren Valova, Natacha Gueorguieva, I. Valova, 2003, ICANN.

Multilayer Feedforward Neural Network for Image Feature Extraction Using Independent Component Analysis

Natacha Gueorguieva, George Georgiev, ChiWai Kong, 2003, IC-AI.

Learning and data clustering with an RBF-based spiking neuron network

Iren Valova, Natacha Gueorguieva, George Georgiev, 2006, J. Exp. Theor. Artif. Intell..

A Spiking Neuron Model of Olfactory Bulb Dynamics

Iren Valova, Natacha Gueorguieva, George Georgiev, 2004, IC-AI.

Fuzzyfication of principle component analysis for data dimensionalty reduction

Iren Valova, Natacha Gueorguieva, George Georgiev, 2016, 2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

Brain Dynamics Modeling via Spiking Neuron Simulator

Iren Valova, Natacha Gueorguieva, Matthew Luberto, 2006 .

Simulating Voltage-Gated Na and K Ion Channel Kinetics Using Hodgkin- Huxley Mode

Iren Valova, Natacha Gueorguieva, George Georgiev, 2012, Complex Adaptive Systems.

QRS Complex Detector Implementing Orthonormal Functions

Iren Valova, Natacha Gueorguieva, George Georgiev, 2012, Complex Adaptive Systems.

Bridging the fuzzy, neural and evolutionary paradigms for automatic target recognition

Iren Valova, Natacha Gueorguieva, Kevin Bowen, 2011, Applied Intelligence.

Biologically Inspired Olfactory Learning Architecture

Iren Valova, Natacha Gueorguieva, George Georgiev, 2013, Complex Adaptive Systems.

Growing radial basis neural networks with potential function generators

Iren Valova, Natacha Gueorguieva, George Georgiev, 2005, 2005 IEEE International Conference on Systems, Man and Cybernetics.

ParaGro: a learning algorithm for growing parallel self-organizing maps with any input/output dimensions

Iren Valova, Natacha Gueorguieva, Matthias Kempka, 2005, Int. J. Gen. Syst..

Neuro-Fuzzy Systems Approach in Modeling Rule and Experience-Based Expectations

Iren Valova, Natacha Gueorguieva, George Georgiev, 2010 .

Feature Selection Using Gustafson-Kessel Fuzzy Algorithm in High Dimension Data Clustering

Natacha Gueorguieva, George Georgiev, Austin Krauza, 2015, 2015 IEEE 14th International Conference on Machine Learning and Applications (ICMLA).

ICA based neural network for image denoising

Iren Valova, Natacha Gueorguieva, 2004, Circuits, Signals, and Systems.

Feature Selection for Multiclass Problems Based on Information Weights

Iren Valova, Natacha Gueorguieva, George Georgiev, 2011, Complex Adaptive Systems.

Initialization Issues in Self-organizing Maps

Iren Valova, Natacha Gueorguieva, George Georgiev, 2013, Complex Adaptive Systems.

Binary Tree Classifier Based on Kolmogorov-Smirnov Test

Iren Valova, Natacha Gueorguieva, G. Georgiev, 2010 .

Optimization of Convolutional Neural Networks for Imbalanced Set Classification

Natacha Gueorguieva, Iren Valova, Christopher Harris, 2020, KES.

Modeling weakly connected networks of neural oscillators with spiking neurons

Iren Valova, Natacha Gueorguieva, George Georgiev, 2005, 2005 IEEE International Conference on Systems, Man and Cybernetics.

In-Between Layers Modular Residual Neural Network for the Classification of Images

Iren Valova, Natacha Gueorguieva, Tony Mai, 2021 .

Short-Term Traffic Forecasting Using Deep Learning

Iren Valova, Natacha Gueorguieva, Sandeep Smudidonga, 2021, Proceedings of the 7th World Congress on Electrical Engineering and Computer Systems and Science.

Conductance Based Neural Simulator: Neural Excitability, Spiking, and Bursting

Iren Valova, Natacha Gueorguieva, George Georgiev, 2007 .