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2020 – today
- 2024
[j26]Iren Valova, Natacha Gueorguieva, Tony Mai, Ryan Chen:
Fuzzy clustering in high-dimensional spaces: Visualization and performance metrics. Int. J. Knowl. Based Intell. Eng. Syst. 28(2): 313-333 (2024)- 2022
- [j25]Ryan D. Beemer
, Linzhu Li, Antonio Leonti, Jeremy Shaw, Joana Fonseca, Iren Valova, Magued Iskander, Cynthia H. Pilskaln:
Comparison of 2D Optical Imaging and 3D Microtomography Shape Measurements of a Coastal Bioclastic Calcareous Sand. J. Imaging 8(3): 72 (2022) - [j24]Kameron Jusseaume, Iren Valova:
Brain Age Prediction/Classification through Recurrent Deep Learning with Electroencephalogram Recordings of Seizure Subjects. Sensors 22(21): 8112 (2022) - 2021
- [c45]William Kelley, Iren Valova, Douglas Bell, Ojonukpemi Ameh, Jacob Bader:
Honey sources: neural network approach to bee species classification. KES 2021: 650-657 - [c44]Guy Caseneuve, Iren Valova, Nathan LeBlanc, Melanie Thibodeau:
Chest X-Ray Image Preprocessing for Disease Classification. KES 2021: 658-665 - 2020
- [j23]Justin Lovinger, Iren Valova:
Infinite Lattice Learner: an ensemble for incremental learning. Soft Comput. 24(9): 6957-6974 (2020) - [c43]Iren Valova, Christopher Harris, Tony Mai, Natacha Gueorguieva:
Optimization of Convolutional Neural Networks for Imbalanced Set Classification. KES 2020: 660-669
2010 – 2019
- 2019
- [j22]Justin Lovinger, Iren Valova, Chad Clough:
Gist: general integrated summarization of text and reviews. Soft Comput. 23(5): 1589-1601 (2019) - 2018
- [c42]Adam Westgate, Iren Valova:
A Graph Based Approach to Sentiment Lexicon Expansion. IEA/AIE 2018: 530-541 - 2017
- [j21]Justin Lovinger, Iren Valova:
The effect of human thought on data: an analysis of self-reported data in supervised learning and neural networks. Prog. Artif. Intell. 6(3): 221-234 (2017) - 2016
- [j20]Chris Gorman, Iren Valova:
GORMANN: Gravitationally Organized Related Mapping Artificial Neural Network. Comput. J. 59(6): 875-888 (2016) - [j19]Jacob Olson, Iren Valova, Howard Michel:
WSCISOM: wireless sensor data cluster identification through a hybrid SOM/MLP/RBF architecture. Prog. Artif. Intell. 5(4): 233-250 (2016) - [c41]Natacha Gueorguieva, Iren Valova, George Georgiev:
Fuzzyfication of principle component analysis for data dimensionalty reduction. FUZZ-IEEE 2016: 1818-1825 - [c40]Justin Lovinger, Iren Valova:
Neural Field: Supervised apportioned incremental learning (SAIL). IJCNN 2016: 2500-2506 - 2015
- [j18]Chris Gorman, Clint Rogers, Iren Valova:
No Neuron Left Behind: A genetic approach to higher precision topological mapping of self-organizing maps. Open Comput. Sci. 5(1) (2015) - [j17]Daniel Avila, Iren Valova:
RADDACL2: a recursive approach to discovering density clusters. Prog. Artif. Intell. 4(1-2): 21-36 (2015) - [c39]Justin Lovinger, Iren Valova:
Scrubbing the Web for Association Rules: An Application in Predictive Text. ICMLA 2015: 439-442 - [c38]Clinton Rogers, Iren Valova:
Decaying Potential Fields Neural Network: An Approach for Parallelizing Topologically Indicative Mapping Exemplars. ICMLA 2015: 787-792 - 2014
- [c37]George Georgiev, Iren Valova, Natacha Gueorguieva, David Brady:
Simulating Influence of Channel Kinetics and Temperature on Hodgkin-Huxley Threshold Dynamics. Complex Adaptive Systems 2014: 464-469 - [c36]Iren Valova:
Part IX: Intelligent and Adaptive Systems Preface. Complex Adaptive Systems 2014: 498-499 - [c35]Justin Lovinger, Iren Valova, MacKenzie Rogers, Ryan Nadeau, Natacha Gueorguieva:
Harnessing Mother Nature: Optimizing Genetic Algorithms for Adaptive Systems. Complex Adaptive Systems 2014: 523-528 - [c34]Chris Gorman, Iren Valova:
Optimizations of the Gravitationally Organized Related Mapping ANN through Genetic Algorithms. Complex Adaptive Systems 2014: 529-534 - [c33]Iren Valova, Andrew Embry, MacKinley Trudeau, Gueorgui Gueorguiev:
Evolving Vacation Packages: Genetic Algorithms for Entertainment. Complex Adaptive Systems 2014: 535-540 - [c32]Richard de Groof, Iren Valova:
Genetically Supervised Self-Organizing Map for the Classification of Glass Samples. ICMLA 2014: 251-256 - 2013
- [j16]Benjamin J. Ford, Haiping Xu, Iren Valova:
A Real-Time Self-Adaptive Classifier for Identifying Suspicious Bidders in Online Auctions. Comput. J. 56(5): 646-663 (2013) - [c31]George Georgiev, Mrinal Gosavi, Iren Valova, Natacha Gueorguieva:
Biologically Inspired Olfactory Learning Architecture. Complex Adaptive Systems 2013: 33-38 - [c30]Iren Valova, George Georgiev, Natacha Gueorguieva, Jacob Olson:
Initialization Issues in Self-organizing Maps. Complex Adaptive Systems 2013: 52-57 - 2012
- [c29]Iren Valova, Natacha Gueorguieva, George Georgiev:
Simulating Voltage-Gated Na and K Ion Channel Kinetics Using Hodgkin- Huxley Mode. Complex Adaptive Systems 2012: 420-425 - [c28]George Georgiev, Iren Valova, Natacha Gueorguieva, Leo Lei:
QRS Complex Detector Implementing Orthonormal Functions. Complex Adaptive Systems 2012: 426-431 - 2011
- [j15]Iren Valova, Gary Milano, Kevin Bowen, Natacha Gueorguieva:
Bridging the fuzzy, neural and evolutionary paradigms for automatic target recognition. Appl. Intell. 35(2): 211-225 (2011) - [j14]Derek Beaton, Iren Valova, Daniel MacLean:
TurSOM: A paradigm bridging Turing's unorganized machines and self-organizing maps demonstrating dual self-organization. Neurocomputing 74(17): 3125-3141 (2011) - [c27]Aaron Larocque, Iren Valova:
Evaluation of classification quality and comparative analysis of clustering and self-organization. Complex Adaptive Systems 2011: 141-146 - [c26]George Georgiev, Iren Valova, Natacha Gueorguieva:
Feature Selection for Multiclass Problems Based on Information Weights. Complex Adaptive Systems 2011: 189-194 - [c25]Iren Valova, Natacha Gueorguieva, George Gueorguiev, Vyacheslav Glukh:
Simulating the Influence of Ca on the Na Channel Excitability. Complex Adaptive Systems 2011: 323-328 - 2010
- [j13]Iren Valova, Derek Beaton, Daniel MacLean, John Hammond:
NIPSOM: Parallel Architecture and Implementation of a Growing SOM. Comput. J. 53(6): 753-771 (2010) - [j12]Natacha Gueorguieva, Iren Valova, George Georgiev:
POFGEC: growing neural network of classifying potential function generators. Int. J. Knowl. Eng. Soft Data Paradigms 2(2): 130-159 (2010) - [j11]Derek Beaton, Iren Valova, Daniel MacLean:
CQoCO: A measure for comparative quality of coverage and organization for self-organizing maps. Neurocomputing 73(10-12): 2147-2159 (2010) - [j10]Iren Valova, Derek Beaton, Alexandre Buer, Daniel MacLean:
Fractal initialization for high-quality mapping with self-organizing maps. Neural Comput. Appl. 19(7): 953-966 (2010) - [c24]Benjamin J. Ford, Haiping Xu, Iren Valova:
Identifying Suspicious Bidders Utilizing Hierarchical Clustering and Decision Trees. IC-AI 2010: 195-201
2000 – 2009
- 2009
- [c23]Derek Beaton, Iren Valova, Daniel MacLean:
Growing mechanisms and cluster identification with TurSOM. IJCNN 2009: 280-287 - [c22]Derek Beaton, Iren Valova, Daniel MacLean:
TurSOM: A Turing inspired Self-Organizing Map. IJCNN 2009: 288-295 - [c21]Derek Beaton, Iren Valova, Daniel MacLean:
The Use of TurSOM for Color Image Segmentation. SMC 2009: 4232-4237 - 2008
- [c20]Iren Valova, Daniel MacLean, Derek Beaton:
Identification of Patterns via Region-Growing Parallel SOM Neural Network. ICMLA 2008: 853-858 - 2007
- [j9]Iren Valova:
Introduction: computer graphics. ACM Crossroads 13(3): 1 (2007) - [j8]Iren Valova, Oxana Lapteva, Natacha Gueorguieva:
Modeling of neurotransmitter effects in olfactory bulb. Neural Comput. Appl. 16(4-5): 341-353 (2007) - [j7]Iren Valova, Natacha Gueorguieva, Frank Troescher, Oxana Lapteva:
Modeling of inhibition/excitation firing in olfactory bulb through spiking neurons. Neural Comput. Appl. 16(4-5): 355-372 (2007) - [c19]Derek Beaton, Iren Valova:
RADDACL: A Recursive Algorithm for Clustering and Density Discovery on Non-linearly Separable Data. IJCNN 2007: 1633-1638 - [c18]Daniel MacLean, Iren Valova:
Parallel Growing SOM Monitored by Genetic Algorithm. IJCNN 2007: 1697-1702 - 2006
- [j6]Natacha Gueorguieva, Iren Valova, George Georgiev:
Learning and data clustering with an RBF-based spiking neuron network. J. Exp. Theor. Artif. Intell. 18(1): 73-86 (2006) - [c17]John Hammond, Daniel MacLean, Iren Valova:
A Parallel Implementation of a Growing SOM Promoting Independent Neural Networks over Distributed Input Space. IJCNN 2006: 958-965 - 2005
- [j5]Iren Valova, Natacha Gueorguieva, Matthias Kempka:
ParaGro: a learning algorithm for growing parallel self-organizing maps with any input/output dimensions. Int. J. Gen. Syst. 34(6): 735-757 (2005) - [j4]Iren Valova, Daniel Szer, Natacha Gueorguieva, Alexandre Buer:
A parallel growing architecture for self-organizing maps with unsupervised learning. Neurocomputing 68: 177-195 (2005) - [c16]John Hammond, Stephen Fischer, Iren Valova:
Parallel algorithm for growing SOM with regions of influence and neuron inertia. Circuits, Signals, and Systems 2005: 292-297 - [c15]Derek Beaton, Iren Valova:
Alzheimer's detection using neural network techniques and enhanced EEG measurements. Circuits, Signals, and Systems 2005: 303-307 - [c14]Iren Valova, George Georgiev, Natacha Gueorguieva:
Growing radial basis neural networks with potential function generators. SMC 2005: 779-784 - [c13]Iren Valova, Natacha Gueorguieva, George Georgiev:
Modeling weakly connected networks of neural oscillators with spiking neurons. SMC 2005: 810-815 - 2004
- [j3]Iren Valova, Natacha Gueorguieva, Yukio Kosugi:
An oscillation-driven neural network for the simulation of an olfactory system. Neural Comput. Appl. 13(1): 65-79 (2004) - [c12]Natacha Gueorguieva, Iren Valova:
ICA based neural network for image denoising. Circuits, Signals, and Systems 2004: 380-385 - [c11]George Georgiev, Iren Valova, Natacha Gueorguieva, Kiril Tchimev:
Coding and Computations with Spiking Neural Networks. IC-AI 2004: 147-153 - [c10]Natacha Gueorguieva, George Georgiev, Iren Valova:
A Spiking Neuron Model of Olfactory Bulb Dynamics. IC-AI 2004: 319-325 - 2003
- [c9]Natacha Gueorguieva, George Georgiev, Iren Valova:
Facial Expression Recognition Using Feedforward Neural Networks. IC-AI 2003: 285-291 - [c8]Natacha Gueorguieva, Iren Valova:
Building RBF Neural Network Topology through Potential Functions. ICANN 2003: 1033-1040 - [c7]Iren Valova, Natacha Gueorguieva, Matthias Kempka:
Feedforward neural networks with sigmoidal and radial basis functions hidden neurons. SMC 2003: 1630-1635 - 2002
- [c6]Iren Valova, Natacha Gueorguieva, George Georgiev:
Oscillatory Responses in Pre-Cortex Model of Olfactory System. IC-AI 2002: 1177-1183 - 2001
- [c5]George Georgiev, Natacha Gueorguieva, Plamen Tchimev, Iren Valova:
Odor information processing in human-oscillatory model. SMC 2001: 52-57 - 2000
- [j2]Iren Valova, Yukio Kosugi:
Hadamard-based image decomposition and compression. IEEE Trans. Inf. Technol. Biomed. 4(4): 306-319 (2000) - [c4]Plamen Tchimev, Naoya Moritani, George Georgiev, Iren Valova:
A Neural Network Approach to Geographic Image Analysis. SSIAI 2000: 58-62
1990 – 1999
- 1999
- [c3]Iren Valova, Yukio Kosugi:
Modeling higher level processing functions inherent to the human brain. IJCNN 1999: 109-112 - 1997
- [c2]Iren Valova, Yukio Kosugi:
Neural trees for image segmentation. ICNN 1997: 1629-1633 - 1996
- [c1]Iren Valova, Yukio Kosugi:
Parallel Computer Implementation for Feature Extraction via Answer-in-Weights Neural Network. IEA/AIE 1996: 799 - 1995
- [j1]Iren Valova, Keisuke Kameyama, Yukio Kosugi:
Image Decomposition by Answer-in-Weights Neural Network. IEICE Trans. Inf. Syst. 78-D(9): 1221-1224 (1995)
Coauthor Index
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last updated on 2024-07-15 21:03 CEST by the dblp team
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