Iren Valova - RankMe

73 papers B 16C 7Misc 5Journal 28Unranked 17

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	AUTO: supervised learning with full model search and global optimisation. J. Exp. Theor. Artif. Intell. Justin Lovinger, Iren Valova
2024	J	`jnl`	Fuzzy clustering in high-dimensional spaces: Visualization and performance metrics. Int. J. Knowl. Based Intell. Eng. Syst. Iren Valova, Natacha Gueorguieva, Tony Mai, Ryan Chen
2022	J	`jnl`	Brain Age Prediction/Classification through Recurrent Deep Learning with Electroencephalogram Recordings of Seizure Subjects. Sensors Kameron Jusseaume, Iren Valova
2022	J	`jnl`	Comparison of 2D Optical Imaging and 3D Microtomography Shape Measurements of a Coastal Bioclastic Calcareous Sand. J. Imaging Ryan D. Beemer, Linzhu Li, Antonio Leonti, Jeremy Shaw, Joana Fonseca, Iren Valova, Magued Iskander, Cynthia H. Pilskaln
2021	B	`conf`	Chest X-Ray Image Preprocessing for Disease Classification. KES Guy Caseneuve, Iren Valova, Nathan LeBlanc, Melanie Thibodeau
2021	B	`conf`	Honey sources: neural network approach to bee species classification. KES William Kelley, Iren Valova, Douglas Bell, Ojonukpemi Ameh, Jacob Bader
2020	J	`jnl`	Infinite Lattice Learner: an ensemble for incremental learning. Soft Comput. Justin Lovinger, Iren Valova
2020	B	`conf`	Optimization of Convolutional Neural Networks for Imbalanced Set Classification. KES Iren Valova, Christopher Harris, Tony Mai, Natacha Gueorguieva
2019	J	`jnl`	Gist: general integrated summarization of text and reviews. Soft Comput. Justin Lovinger, Iren Valova, Chad Clough
2018	C	`conf`	A Graph Based Approach to Sentiment Lexicon Expansion. IEA/AIE Adam Westgate, Iren Valova
2017	J	`jnl`	The effect of human thought on data: an analysis of self-reported data in supervised learning and neural networks. Prog. Artif. Intell. Justin Lovinger, Iren Valova
2016	B	`conf`	Fuzzyfication of principle component analysis for data dimensionalty reduction. FUZZ-IEEE Natacha Gueorguieva, Iren Valova, George Georgiev
2016	J	`jnl`	GORMANN: Gravitationally Organized Related Mapping Artificial Neural Network. Comput. J. Chris Gorman, Iren Valova
2016	B	`conf`	Neural Field: Supervised apportioned incremental learning (SAIL). IJCNN Justin Lovinger, Iren Valova
2016	J	`jnl`	WSCISOM: wireless sensor data cluster identification through a hybrid SOM/MLP/RBF architecture. Prog. Artif. Intell. Jacob Olson, Iren Valova, Howard Michel
2015	C	`conf`	Decaying Potential Fields Neural Network: An Approach for Parallelizing Topologically Indicative Mapping Exemplars. ICMLA Clinton Rogers, Iren Valova
2015	J	`jnl`	No Neuron Left Behind: A genetic approach to higher precision topological mapping of self-organizing maps. Open Comput. Sci. Chris Gorman, Clint Rogers, Iren Valova
2015	J	`jnl`	RADDACL2: a recursive approach to discovering density clusters. Prog. Artif. Intell. Daniel Avila, Iren Valova
2015	C	`conf`	Scrubbing the Web for Association Rules: An Application in Predictive Text. ICMLA Justin Lovinger, Iren Valova
2014	—	`conf`	Evolving Vacation Packages: Genetic Algorithms for Entertainment. Complex Adaptive Systems Iren Valova, Andrew Embry, MacKinley Trudeau, Gueorgui Gueorguiev
2014	C	`conf`	Genetically Supervised Self-Organizing Map for the Classification of Glass Samples. ICMLA Richard de Groof, Iren Valova
2014	—	`conf`	Harnessing Mother Nature: Optimizing Genetic Algorithms for Adaptive Systems. Complex Adaptive Systems Justin Lovinger, Iren Valova, MacKenzie Rogers, Ryan Nadeau, Natacha Gueorguieva
2014	—	`conf`	Optimizations of the Gravitationally Organized Related Mapping ANN through Genetic Algorithms. Complex Adaptive Systems Chris Gorman, Iren Valova
2014	—	`conf`	Part IX: Intelligent and Adaptive Systems Preface. Complex Adaptive Systems Iren Valova
2014	—	`conf`	Simulating Influence of Channel Kinetics and Temperature on Hodgkin-Huxley Threshold Dynamics. Complex Adaptive Systems George Georgiev, Iren Valova, Natacha Gueorguieva, David Brady
2013	J	`jnl`	A Real-Time Self-Adaptive Classifier for Identifying Suspicious Bidders in Online Auctions. Comput. J. Benjamin J. Ford, Haiping Xu, Iren Valova
2013	—	`conf`	Biologically Inspired Olfactory Learning Architecture. Complex Adaptive Systems George Georgiev, Mrinal Gosavi, Iren Valova, Natacha Gueorguieva
2013	—	`conf`	Initialization Issues in Self-organizing Maps. Complex Adaptive Systems Iren Valova, George Georgiev, Natacha Gueorguieva, Jacob Olson
2012	—	`conf`	QRS Complex Detector Implementing Orthonormal Functions. Complex Adaptive Systems George Georgiev, Iren Valova, Natacha Gueorguieva, Leo Lei
2012	—	`conf`	Simulating Voltage-Gated Na and K Ion Channel Kinetics Using Hodgkin- Huxley Mode. Complex Adaptive Systems Iren Valova, Natacha Gueorguieva, George Georgiev
2011	J	`jnl`	Bridging the fuzzy, neural and evolutionary paradigms for automatic target recognition. Appl. Intell. Iren Valova, Gary Milano, Kevin Bowen, Natacha Gueorguieva
2011	—	`conf`	Evaluation of classification quality and comparative analysis of clustering and self-organization. Complex Adaptive Systems Aaron Larocque, Iren Valova
2011	—	`conf`	Feature Selection for Multiclass Problems Based on Information Weights. Complex Adaptive Systems George Georgiev, Iren Valova, Natacha Gueorguieva
2011	—	`conf`	Simulating the Influence of Ca on the Na Channel Excitability. Complex Adaptive Systems Iren Valova, Natacha Gueorguieva, George Gueorguiev, Vyacheslav Glukh
2011	J	`jnl`	TurSOM: A paradigm bridging Turing's unorganized machines and self-organizing maps demonstrating dual self-organization. Neurocomputing Derek Beaton, Iren Valova, Daniel MacLean
2010	J	`jnl`	CQoCO: A measure for comparative quality of coverage and organization for self-organizing maps. Neurocomputing Derek Beaton, Iren Valova, Daniel MacLean
2010	J	`jnl`	Fractal initialization for high-quality mapping with self-organizing maps. Neural Comput. Appl. Iren Valova, Derek Beaton, Alexandre Buer, Daniel MacLean
2010	Misc	`conf`	Identifying Suspicious Bidders Utilizing Hierarchical Clustering and Decision Trees. IC-AI Benjamin J. Ford, Haiping Xu, Iren Valova
2010	J	`jnl`	NIPSOM: Parallel Architecture and Implementation of a Growing SOM. Comput. J. Iren Valova, Derek Beaton, Daniel MacLean, John Hammond
2010	J	`jnl`	POFGEC: growing neural network of classifying potential function generators. Int. J. Knowl. Eng. Soft Data Paradigms Natacha Gueorguieva, Iren Valova, George Georgiev
2009	B	`conf`	Growing mechanisms and cluster identification with TurSOM. IJCNN Derek Beaton, Iren Valova, Daniel MacLean
2009	B	`conf`	The Use of TurSOM for Color Image Segmentation. SMC Derek Beaton, Iren Valova, Daniel MacLean
2009	B	`conf`	TurSOM: A Turing inspired Self-Organizing Map. IJCNN Derek Beaton, Iren Valova, Daniel MacLean
2008	C	`conf`	Identification of Patterns via Region-Growing Parallel SOM Neural Network. ICMLA Iren Valova, Daniel MacLean, Derek Beaton
2007	J	`jnl`	Introduction: computer graphics. ACM Crossroads Iren Valova
2007	J	`jnl`	Modeling of inhibition/excitation firing in olfactory bulb through spiking neurons. Neural Comput. Appl. Iren Valova, Natacha Gueorguieva, Frank Troescher, Oxana Lapteva
2007	J	`jnl`	Modeling of neurotransmitter effects in olfactory bulb. Neural Comput. Appl. Iren Valova, Oxana Lapteva, Natacha Gueorguieva
2007	B	`conf`	Parallel Growing SOM Monitored by Genetic Algorithm. IJCNN Daniel MacLean, Iren Valova
2007	B	`conf`	RADDACL: A Recursive Algorithm for Clustering and Density Discovery on Non-linearly Separable Data. IJCNN Derek Beaton, Iren Valova
2006	B	`conf`	A Parallel Implementation of a Growing SOM Promoting Independent Neural Networks over Distributed Input Space. IJCNN John Hammond, Daniel MacLean, Iren Valova
2006	J	`jnl`	Effects of hierarchical comprehensive models on university students' studies of object-oriented paradigms. J. Comput. Sci. Coll. Iren Valova, Natacha Gueorguieva, Georgi Georgiev
2006	J	`jnl`	Learning and data clustering with an RBF-based spiking neuron network. J. Exp. Theor. Artif. Intell. Natacha Gueorguieva, Iren Valova, George Georgiev
2005	J	`jnl`	A parallel growing architecture for self-organizing maps with unsupervised learning. Neurocomputing Iren Valova, Daniel Szer, Natacha Gueorguieva, Alexandre Buer
2005	—	`conf`	Alzheimer's detection using neural network techniques and enhanced EEG measurements. Circuits, Signals, and Systems Derek Beaton, Iren Valova
2005	B	`conf`	Growing radial basis neural networks with potential function generators. SMC Iren Valova, George Georgiev, Natacha Gueorguieva
2005	B	`conf`	Modeling weakly connected networks of neural oscillators with spiking neurons. SMC Iren Valova, Natacha Gueorguieva, George Georgiev
2005	J	`jnl`	ParaGro: a learning algorithm for growing parallel self-organizing maps with any input/output dimensions. Int. J. Gen. Syst. Iren Valova, Natacha Gueorguieva, Matthias Kempka
2005	—	`conf`	Parallel algorithm for growing SOM with regions of influence and neuron inertia. Circuits, Signals, and Systems John Hammond, Stephen Fischer, Iren Valova
2004	Misc	`conf`	A Spiking Neuron Model of Olfactory Bulb Dynamics. IC-AI Natacha Gueorguieva, George Georgiev, Iren Valova
2004	J	`jnl`	An oscillation-driven neural network for the simulation of an olfactory system. Neural Comput. Appl. Iren Valova, Natacha Gueorguieva, Yukio Kosugi
2004	Misc	`conf`	Coding and Computations with Spiking Neural Networks. IC-AI George Georgiev, Iren Valova, Natacha Gueorguieva, Kiril Tchimev
2004	—	`conf`	ICA based neural network for image denoising. Circuits, Signals, and Systems Natacha Gueorguieva, Iren Valova
2003	C	`conf`	Building RBF Neural Network Topology through Potential Functions. ICANN Natacha Gueorguieva, Iren Valova
2003	Misc	`conf`	Facial Expression Recognition Using Feedforward Neural Networks. IC-AI Natacha Gueorguieva, George Georgiev, Iren Valova
2003	B	`conf`	Feedforward neural networks with sigmoidal and radial basis functions hidden neurons. SMC Iren Valova, Natacha Gueorguieva, Matthias Kempka
2002	Misc	`conf`	Oscillatory Responses in Pre-Cortex Model of Olfactory System. IC-AI Iren Valova, Natacha Gueorguieva, George Georgiev
2001	B	`conf`	Odor information processing in human-oscillatory model. SMC George Georgiev, Natacha Gueorguieva, Plamen Tchimev, Iren Valova
2000	—	`conf`	A Neural Network Approach to Geographic Image Analysis. SSIAI Plamen Tchimev, Naoya Moritani, George Georgiev, Iren Valova
2000	J	`jnl`	Hadamard-based image decomposition and compression. IEEE Trans. Inf. Technol. Biomed. Iren Valova, Yukio Kosugi
1999	B	`conf`	Modeling higher level processing functions inherent to the human brain. IJCNN Iren Valova, Yukio Kosugi
1997	—	`conf`	Neural trees for image segmentation. ICNN Iren Valova, Yukio Kosugi
1996	C	`conf`	Parallel Computer Implementation for Feature Extraction via Answer-in-Weights Neural Network. IEA/AIE Iren Valova, Yukio Kosugi
1995	J	`jnl`	Image Decomposition by Answer-in-Weights Neural Network. IEICE Trans. Inf. Syst. Iren Valova, Keisuke Kameyama, Yukio Kosugi