Image Decomposition by Answer-in-Weights Neural Network. - Iren Valova; Keisuke Kameyama; Yukio Kosugi (IEICE Trans. Inf. Syst., 1995)

Parallel Computer Implementation for Feature Extraction via Answer-in-Weights Neural Network. - Iren Valova; Yukio Kosugi (IEA/AIE, 1996)

Neural trees for image segmentation. - Iren Valova; Yukio Kosugi (ICNN, 1997)

Modeling higher level processing functions inherent to the human brain. - Iren Valova; Yukio Kosugi (IJCNN, 1999)

A Neural Network Approach to Geographic Image Analysis. - Plamen Tchimev; Naoya Moritani; George Georgiev; Iren Valova (SSIAI, 2000)

Hadamard-based image decomposition and compression. - Iren Valova; Yukio Kosugi (IEEE Trans. Inf. Technol. Biomed., 2000)

Odor information processing in human-oscillatory model. - George Georgiev; Natacha Gueorguieva; Plamen Tchimev; Iren Valova (SMC, 2001)

Oscillatory Responses in Pre-Cortex Model of Olfactory System. - Iren Valova; Natacha Gueorguieva; George Georgiev (IC-AI, 2002)

Facial Expression Recognition Using Feedforward Neural Networks. - Natacha Gueorguieva; George Georgiev; Iren Valova (IC-AI, 2003)

Building RBF Neural Network Topology through Potential Functions. - Natacha Gueorguieva; Iren Valova (ICANN, 2003)

Feedforward neural networks with sigmoidal and radial basis functions hidden neurons. - Iren Valova; Natacha Gueorguieva; Matthias Kempka (SMC, 2003)

ICA based neural network for image denoising. - Natacha Gueorguieva; Iren Valova (Circuits, Signals, and Systems, 2004)

Coding and Computations with Spiking Neural Networks. - George Georgiev; Iren Valova; Natacha Gueorguieva; Kiril Tchimev (IC-AI, 2004)

A Spiking Neuron Model of Olfactory Bulb Dynamics. - Natacha Gueorguieva; George Georgiev; Iren Valova (IC-AI, 2004)

An oscillation-driven neural network for the simulation of an olfactory system. - Iren Valova; Natacha Gueorguieva; Yukio Kosugi (Neural Comput. Appl., 2004)

Alzheimer's detection using neural network techniques and enhanced EEG measurements. - Derek Beaton; Iren Valova (Circuits, Signals, and Systems, 2005)

Parallel algorithm for growing SOM with regions of influence and neuron inertia. - John Hammond; Stephen Fischer; Iren Valova (Circuits, Signals, and Systems, 2005)

Growing radial basis neural networks with potential function generators. - Iren Valova; George Georgiev; Natacha Gueorguieva (SMC, 2005)

Modeling weakly connected networks of neural oscillators with spiking neurons. - Iren Valova; Natacha Gueorguieva; George Georgiev (SMC, 2005)

ParaGro: a learning algorithm for growing parallel self-organizing maps with any input/output dimensions. - Iren Valova; Natacha Gueorguieva; Matthias Kempka (Int. J. Gen. Syst., 2005)

A parallel growing architecture for self-organizing maps with unsupervised learning. - Iren Valova; Daniel Szer; Natacha Gueorguieva; Alexandre Buer (Neurocomputing, 2005)

A Parallel Implementation of a Growing SOM Promoting Independent Neural Networks over Distributed Input Space. - John Hammond; Daniel MacLean; Iren Valova (IJCNN, 2006)

Effects of hierarchical comprehensive models on university students' studies of object-oriented paradigms. - Iren Valova; Natacha Gueorguieva; Georgi Georgiev (J. Comput. Sci. Coll., 2006)

Learning and data clustering with an RBF-based spiking neuron network. - Natacha Gueorguieva; Iren Valova; George Georgiev (J. Exp. Theor. Artif. Intell., 2006)

RADDACL: A Recursive Algorithm for Clustering and Density Discovery on Non-linearly Separable Data. - Derek Beaton; Iren Valova (IJCNN, 2007)

Parallel Growing SOM Monitored by Genetic Algorithm. - Daniel MacLean; Iren Valova (IJCNN, 2007)

Introduction: computer graphics. - Iren Valova (ACM Crossroads, 2007)

Modeling of inhibition/excitation firing in olfactory bulb through spiking neurons. - Iren Valova; Natacha Gueorguieva; Frank Troescher; Oxana Lapteva (Neural Comput. Appl., 2007)

Modeling of neurotransmitter effects in olfactory bulb. - Iren Valova; Oxana Lapteva; Natacha Gueorguieva (Neural Comput. Appl., 2007)

Identification of Patterns via Region-Growing Parallel SOM Neural Network. - Iren Valova; Daniel MacLean; Derek Beaton (ICMLA, 2008)

Growing mechanisms and cluster identification with TurSOM. - Derek Beaton; Iren Valova; Daniel MacLean (IJCNN, 2009)

TurSOM: A Turing inspired Self-Organizing Map. - Derek Beaton; Iren Valova; Daniel MacLean (IJCNN, 2009)

The Use of TurSOM for Color Image Segmentation. - Derek Beaton; Iren Valova; Daniel MacLean (SMC, 2009)

Identifying Suspicious Bidders Utilizing Hierarchical Clustering and Decision Trees. - Benjamin J. Ford; Haiping Xu; Iren Valova (IC-AI, 2010)

NIPSOM: Parallel Architecture and Implementation of a Growing SOM. - Iren Valova; Derek Beaton; Daniel MacLean; John Hammond (Comput. J., 2010)

POFGEC: growing neural network of classifying potential function generators. - Natacha Gueorguieva; Iren Valova; George Georgiev (Int. J. Knowl. Eng. Soft Data Paradigms, 2010)

CQoCO: A measure for comparative quality of coverage and organization for self-organizing maps. - Derek Beaton; Iren Valova; Daniel MacLean (Neurocomputing, 2010)

Fractal initialization for high-quality mapping with self-organizing maps. - Iren Valova; Derek Beaton; Alexandre Buer; Daniel MacLean (Neural Comput. Appl., 2010)

Bridging the fuzzy, neural and evolutionary paradigms for automatic target recognition. - Iren Valova; Gary Milano; Kevin Bowen; Natacha Gueorguieva (Appl. Intell., 2011)

TurSOM: A paradigm bridging Turing's unorganized machines and self-organizing maps demonstrating dual self-organization. - Derek Beaton; Iren Valova; Daniel MacLean (Neurocomputing, 2011)

Feature Selection for Multiclass Problems Based on Information Weights. - George Georgiev; Iren Valova; Natacha Gueorguieva (Complex Adaptive Systems, 2011)

Evaluation of classification quality and comparative analysis of clustering and self-organization. - Aaron Larocque; Iren Valova (Complex Adaptive Systems, 2011)

Simulating the Influence of Ca on the Na Channel Excitability. - Iren Valova; Natacha Gueorguieva; George Gueorguiev; Vyacheslav Glukh (Complex Adaptive Systems, 2011)

QRS Complex Detector Implementing Orthonormal Functions. - George Georgiev; Iren Valova; Natacha Gueorguieva; Leo Lei (Complex Adaptive Systems, 2012)

Simulating Voltage-Gated Na and K Ion Channel Kinetics Using Hodgkin- Huxley Mode. - Iren Valova; Natacha Gueorguieva; George Georgiev (Complex Adaptive Systems, 2012)

Biologically Inspired Olfactory Learning Architecture. - George Georgiev; Mrinal Gosavi; Iren Valova; Natacha Gueorguieva (Complex Adaptive Systems, 2013)

Initialization Issues in Self-organizing Maps. - Iren Valova; George Georgiev; Natacha Gueorguieva; Jacob Olson (Complex Adaptive Systems, 2013)

A Real-Time Self-Adaptive Classifier for Identifying Suspicious Bidders in Online Auctions. - Benjamin J. Ford; Haiping Xu; Iren Valova (Comput. J., 2013)

Simulating Influence of Channel Kinetics and Temperature on Hodgkin-Huxley Threshold Dynamics. - George Georgiev; Iren Valova; Natacha Gueorguieva; David Brady (Complex Adaptive Systems, 2014)

Optimizations of the Gravitationally Organized Related Mapping ANN through Genetic Algorithms. - Chris Gorman; Iren Valova (Complex Adaptive Systems, 2014)

Harnessing Mother Nature: Optimizing Genetic Algorithms for Adaptive Systems. - Justin Lovinger; Iren Valova; MacKenzie Rogers; Ryan Nadeau; Natacha Gueorguieva (Complex Adaptive Systems, 2014)

Part IX: Intelligent and Adaptive Systems Preface. - Iren Valova (Complex Adaptive Systems, 2014)

Evolving Vacation Packages: Genetic Algorithms for Entertainment. - Iren Valova; Andrew Embry; MacKinley Trudeau; Gueorgui Gueorguiev (Complex Adaptive Systems, 2014)

Genetically Supervised Self-Organizing Map for the Classification of Glass Samples. - Richard de Groof; Iren Valova (ICMLA, 2014)

Scrubbing the Web for Association Rules: An Application in Predictive Text. - Justin Lovinger; Iren Valova (ICMLA, 2015)

Decaying Potential Fields Neural Network: An Approach for Parallelizing Topologically Indicative Mapping Exemplars. - Clinton Rogers; Iren Valova (ICMLA, 2015)

No Neuron Left Behind: A genetic approach to higher precision topological mapping of self-organizing maps. - Chris Gorman; Clint Rogers; Iren Valova (Open Comput. Sci., 2015)

RADDACL2: a recursive approach to discovering density clusters. - Daniel Avila; Iren Valova (Prog. Artif. Intell., 2015)

Fuzzyfication of principle component analysis for data dimensionalty reduction. - Natacha Gueorguieva; Iren Valova; George Georgiev (FUZZ-IEEE, 2016)

Neural Field: Supervised apportioned incremental learning (SAIL). - Justin Lovinger; Iren Valova (IJCNN, 2016)

GORMANN: Gravitationally Organized Related Mapping Artificial Neural Network. - Chris Gorman; Iren Valova (Comput. J., 2016)

WSCISOM: wireless sensor data cluster identification through a hybrid SOM/MLP/RBF architecture. - Jacob Olson; Iren Valova; Howard Michel (Prog. Artif. Intell., 2016)

The effect of human thought on data: an analysis of self-reported data in supervised learning and neural networks. - Justin Lovinger; Iren Valova (Prog. Artif. Intell., 2017)

A Graph Based Approach to Sentiment Lexicon Expansion. - Adam Westgate; Iren Valova (IEA/AIE, 2018)

Gist: general integrated summarization of text and reviews. - Justin Lovinger; Iren Valova; Chad Clough (Soft Comput., 2019)

Optimization of Convolutional Neural Networks for Imbalanced Set Classification. - Iren Valova; Christopher Harris; Tony Mai; Natacha Gueorguieva (KES, 2020)

Infinite Lattice Learner: an ensemble for incremental learning. - Justin Lovinger; Iren Valova (Soft Comput., 2020)

Chest X-Ray Image Preprocessing for Disease Classification. - Guy Caseneuve; Iren Valova; Nathan LeBlanc; Melanie Thibodeau (KES, 2021)

Honey sources: neural network approach to bee species classification. - William Kelley; Iren Valova; Douglas Bell 002; Ojonukpemi Ameh; Jacob Bader (KES, 2021)

Comparison of 2D Optical Imaging and 3D Microtomography Shape Measurements of a Coastal Bioclastic Calcareous Sand. - Ryan D. Beemer; Linzhu Li; Antonio Leonti; Jeremy Shaw; Joana Fonseca; Iren Valova; Magued Iskander; Cynthia H. Pilskaln (J. Imaging, 2022)

Brain Age Prediction/Classification through Recurrent Deep Learning with Electroencephalogram Recordings of Seizure Subjects. - Kameron Jusseaume; Iren Valova (Sensors, 2022)

Fuzzy clustering in high-dimensional spaces: Visualization and performance metrics. - Iren Valova; Natacha Gueorguieva; Tony Mai; Ryan Chen (Int. J. Knowl. Based Intell. Eng. Syst., 2024)

AUTO: supervised learning with full model search and global optimisation. - Justin Lovinger; Iren Valova (J. Exp. Theor. Artif. Intell., 2024)