Iren Valova

Orcid: 0000-0002-6550-2533

According to our database1, Iren Valova authored at least 70 papers between 1995 and 2022.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2022
Brain Age Prediction/Classification through Recurrent Deep Learning with Electroencephalogram Recordings of Seizure Subjects.
Sensors, 2022

Comparison of 2D Optical Imaging and 3D Microtomography Shape Measurements of a Coastal Bioclastic Calcareous Sand.
J. Imaging, 2022

2021
Honey sources: neural network approach to bee species classification.
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 25th International Conference KES-2021, 2021

Chest X-Ray Image Preprocessing for Disease Classification.
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 25th International Conference KES-2021, 2021

2020
Infinite Lattice Learner: an ensemble for incremental learning.
Soft Comput., 2020

Optimization of Convolutional Neural Networks for Imbalanced Set Classification.
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 24th International Conference KES-2020, 2020

2019
Gist: general integrated summarization of text and reviews.
Soft Comput., 2019

2018
A Graph Based Approach to Sentiment Lexicon Expansion.
Proceedings of the Recent Trends and Future Technology in Applied Intelligence, 2018

2017
The effect of human thought on data: an analysis of self-reported data in supervised learning and neural networks.
Prog. Artif. Intell., 2017

2016
WSCISOM: wireless sensor data cluster identification through a hybrid SOM/MLP/RBF architecture.
Prog. Artif. Intell., 2016

GORMANN: Gravitationally Organized Related Mapping Artificial Neural Network.
Comput. J., 2016

Neural Field: Supervised apportioned incremental learning (SAIL).
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Fuzzyfication of principle component analysis for data dimensionalty reduction.
Proceedings of the 2016 IEEE International Conference on Fuzzy Systems, 2016

2015
RADDACL2: a recursive approach to discovering density clusters.
Prog. Artif. Intell., 2015

No Neuron Left Behind: A genetic approach to higher precision topological mapping of self-organizing maps.
Open Comput. Sci., 2015

Decaying Potential Fields Neural Network: An Approach for Parallelizing Topologically Indicative Mapping Exemplars.
Proceedings of the 14th IEEE International Conference on Machine Learning and Applications, 2015

Scrubbing the Web for Association Rules: An Application in Predictive Text.
Proceedings of the 14th IEEE International Conference on Machine Learning and Applications, 2015

2014
Genetically Supervised Self-Organizing Map for the Classification of Glass Samples.
Proceedings of the 13th International Conference on Machine Learning and Applications, 2014

Evolving Vacation Packages: Genetic Algorithms for Entertainment.
Proceedings of the Complex Adaptive Systems 2014 Conference, 2014

Part IX: Intelligent and Adaptive Systems Preface.
Proceedings of the Complex Adaptive Systems 2014 Conference, 2014

Harnessing Mother Nature: Optimizing Genetic Algorithms for Adaptive Systems.
Proceedings of the Complex Adaptive Systems 2014 Conference, 2014

Optimizations of the Gravitationally Organized Related Mapping ANN through Genetic Algorithms.
Proceedings of the Complex Adaptive Systems 2014 Conference, 2014

Simulating Influence of Channel Kinetics and Temperature on Hodgkin-Huxley Threshold Dynamics.
Proceedings of the Complex Adaptive Systems 2014 Conference, 2014

2013
A Real-Time Self-Adaptive Classifier for Identifying Suspicious Bidders in Online Auctions.
Comput. J., 2013

Initialization Issues in Self-organizing Maps.
Proceedings of the Complex Adaptive Systems 2013 Conference, 2013

Biologically Inspired Olfactory Learning Architecture.
Proceedings of the Complex Adaptive Systems 2013 Conference, 2013

2012
Simulating Voltage-Gated Na and K Ion Channel Kinetics Using Hodgkin- Huxley Mode.
Proceedings of the Complex Adaptive Systems 2012 Conference, 2012

QRS Complex Detector Implementing Orthonormal Functions.
Proceedings of the Complex Adaptive Systems 2012 Conference, 2012

2011
Simulating the Influence of Ca on the Na Channel Excitability.
Proceedings of the Complex Adaptive Systems 2011 Conference, 2011

Evaluation of classification quality and comparative analysis of clustering and self-organization.
Proceedings of the Complex Adaptive Systems 2011 Conference, 2011

Feature Selection for Multiclass Problems Based on Information Weights.
Proceedings of the Complex Adaptive Systems 2011 Conference, 2011

TurSOM: A paradigm bridging Turing's unorganized machines and self-organizing maps demonstrating dual self-organization.
Neurocomputing, 2011

Bridging the fuzzy, neural and evolutionary paradigms for automatic target recognition.
Appl. Intell., 2011

2010
Fractal initialization for high-quality mapping with self-organizing maps.
Neural Comput. Appl., 2010

CQoCO: A measure for comparative quality of coverage and organization for self-organizing maps.
Neurocomputing, 2010

POFGEC: growing neural network of classifying potential function generators.
Int. J. Knowl. Eng. Soft Data Paradigms, 2010

NIPSOM: Parallel Architecture and Implementation of a Growing SOM.
Comput. J., 2010

Identifying Suspicious Bidders Utilizing Hierarchical Clustering and Decision Trees.
Proceedings of the 2010 International Conference on Artificial Intelligence, 2010

2009
The Use of TurSOM for Color Image Segmentation.
Proceedings of the IEEE International Conference on Systems, 2009

TurSOM: A Turing inspired Self-Organizing Map.
Proceedings of the International Joint Conference on Neural Networks, 2009

Growing mechanisms and cluster identification with TurSOM.
Proceedings of the International Joint Conference on Neural Networks, 2009

2008
Identification of Patterns via Region-Growing Parallel SOM Neural Network.
Proceedings of the Seventh International Conference on Machine Learning and Applications, 2008

2007
Modeling of neurotransmitter effects in olfactory bulb.
Neural Comput. Appl., 2007

Modeling of inhibition/excitation firing in olfactory bulb through spiking neurons.
Neural Comput. Appl., 2007

Introduction: computer graphics.
ACM Crossroads, 2007

Parallel Growing SOM Monitored by Genetic Algorithm.
Proceedings of the International Joint Conference on Neural Networks, 2007

RADDACL: A Recursive Algorithm for Clustering and Density Discovery on Non-linearly Separable Data.
Proceedings of the International Joint Conference on Neural Networks, 2007

2006
Learning and data clustering with an RBF-based spiking neuron network.
J. Exp. Theor. Artif. Intell., 2006

A Parallel Implementation of a Growing SOM Promoting Independent Neural Networks over Distributed Input Space.
Proceedings of the International Joint Conference on Neural Networks, 2006

2005
A parallel growing architecture for self-organizing maps with unsupervised learning.
Neurocomputing, 2005

ParaGro: a learning algorithm for growing parallel self-organizing maps with any input/output dimensions.
Int. J. Gen. Syst., 2005

Modeling weakly connected networks of neural oscillators with spiking neurons.
Proceedings of the IEEE International Conference on Systems, 2005

Growing radial basis neural networks with potential function generators.
Proceedings of the IEEE International Conference on Systems, 2005

Parallel algorithm for growing SOM with regions of influence and neuron inertia.
Proceedings of the Third IASTED International Conference on Circuits, 2005

Alzheimer's detection using neural network techniques and enhanced EEG measurements.
Proceedings of the Third IASTED International Conference on Circuits, 2005

2004
An oscillation-driven neural network for the simulation of an olfactory system.
Neural Comput. Appl., 2004

A Spiking Neuron Model of Olfactory Bulb Dynamics.
Proceedings of the International Conference on Artificial Intelligence, 2004

Coding and Computations with Spiking Neural Networks.
Proceedings of the International Conference on Artificial Intelligence, 2004

ICA based neural network for image denoising.
Proceedings of the Second IASTED International Conference on Circuits, 2004

2003
Feedforward neural networks with sigmoidal and radial basis functions hidden neurons.
Proceedings of the IEEE International Conference on Systems, 2003

Building RBF Neural Network Topology through Potential Functions.
Proceedings of the Artificial Neural Networks and Neural Information Processing, 2003

Facial Expression Recognition Using Feedforward Neural Networks.
Proceedings of the International Conference on Artificial Intelligence, 2003

2002
Oscillatory Responses in Pre-Cortex Model of Olfactory System.
Proceedings of the International Conference on Artificial Intelligence, 2002

2001
Odor information processing in human-oscillatory model.
Proceedings of the IEEE International Conference on Systems, 2001

2000
Hadamard-based image decomposition and compression.
IEEE Trans. Inf. Technol. Biomed., 2000

A Neural Network Approach to Geographic Image Analysis.
Proceedings of the 4th IEEE Southwest Symposium on Image Analysis and Interpretation, 2000

1999
Modeling higher level processing functions inherent to the human brain.
Proceedings of the International Joint Conference Neural Networks, 1999

1997
Neural trees for image segmentation.
Proceedings of International Conference on Neural Networks (ICNN'97), 1997

1996
Parallel Computer Implementation for Feature Extraction via Answer-in-Weights Neural Network.
Proceedings of the Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, 1996

1995
Image Decomposition by Answer-in-Weights Neural Network.
IEICE Trans. Inf. Syst., 1995


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