Recent Publications

1.      Iren Valova, Christopher Harris, Natacha Gueorguieva, Taxonomy of Modelling Strategies for Handling Imbalanced Datasets, Proceedings of the 6th World Congress on Electrical Engineering and Computer Systems and Sciences (EECSS’20) Prague, Czech Republic Virtual Conference – August, 2020 Paper No. MVML 107 DOI: 10.11159/mvml20.107, pp. MVML107-1: MVML107-8.

2.      Iren Valova, Christopher Harris, Tony Mai, Natacha Gueorguieva, Optimization of Convolutional Neural Networks for Imbalanced Set Classification, 24th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems, Elsevier Procedia Computer Science 176 (2020) 660–669  

3.      N. Gueorguieva, D. Klusek, I. Valova, Solving Large Scale Classification Problems with Stochastic Based Optimization, Complex Adaptive Systems Conference, November 13-15, 2019, Malvern, PA, Elsevier, Volume 168 – 2020, pp. 26‐33, ISSN 1877‐0509.

4.      N. Gueorguieva, I. Valova, B. Keegan, “Solving Regression Models with First Order Stochastic Based Optimizers”, Proceedings of 9th International IEEE EMBS Conference on Neural Engineering, San Francisco, CA, USA, March 20 - 23, 2019, pp. 985 – 989.

5.      N Gueorguieva, I Valova, G Georgiev, M&MFCM: fuzzy c-means clustering with mahalanobis and minkowski distance metrics, Complex Adaptive Systems Conference with Theme: Engineering Cyber Physical Systems, CAS October 30 – November 1, 2017, Chicago, Illinois, USA Procedia computer science 114, 224-233.

  1. Natacha Gueorguieva, Iren Valova and George Georgiev, Fuzzyfication of Principle Component Analysis for Data Dimensionality Reduction. Proceeding of 2016 IEEE World Congress on Computational Intelligence/IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), pp. 1818 – 1826, July 2016, Vancouver, Canada.
  2. George Georgiev, Natacha Gueorguieva, Matthew Chiappa, Austin Krauza, “Feature Selection Using Gustafson-Kessel Fuzzy Algorithm in High Dimension Data Clustering”. Proceedings of the 14th IEEE International Conference on Machine Learning and Applications, Miami, FL. 9-11 December, Proceeding published by IEEE Computer Society, pp. 1-5, 2015.
  3. G.  Georgiev, I. Valova, N. Gueorguieva, D. Brady, Simulating Influence of Channel Kinetics and Temperature on Hodgkin-Huxley Threshold Dynamics. Proceedings of Complex Adaptive Systems Conference, Philadelphia, PA, Elsevier, Volume 36 – 2014, pp. 464‐469, ISSN 1877‐0509.
  4. J. Lovinger, I. Valova, M. Rogers, R. Nadeau, N. Gueorguieva, Harnessing Mother Nature: Optimizing Genetic Algorithms for Adaptive Systems. Proceedings of Complex Adaptive Systems Conference, Philadelphia, PA, Elsevier, Volume 36 – 2014, pp. 523‐528, ISSN 1877‐0509.
  5. George Georgiev, Mrinal Gosavi, Iren Valova, Natacha Gueorguieva, Biologically Inspired Olfactory Learning Architecture. Proceedings of Complex Adaptive Systems Conference, Baltimore, MD, Elsevier, Volume 20 – 2013, pp. 33‐38, ISSN 1877‐0509.
  6. Iren Valova, George Georgiev, Natacha Gueorguieva, Jacob Olson, Initialization Issues in Self-organizing Maps.  Proceedings of Complex Adaptive Systems Conference, Baltimore, MD, Elsevier, Volume 20 – 2013, pp. 52‐57, ISSN 1877‐0509.
  7. G. Georgiev, I. Valova, N. Gueorguieva, and L. Lei, QRS Complex Detector Implementing Orthonormal Functions. Proceedings of Complex Adaptive Systems Conference, Washington D.C., Elsevier, Volume 12 – 2012, pp. 420‐425, ISSN 1877‐0509.
  8. Valova, N. Gueorguieva, G. Georgiev, Simulating Voltage-Gated Na and K Channel Kinetics Using Hodkin-Hurley Model. Proceedings of Complex Adaptive Systems Conference, Washington D.C., Elsevier, Volume 6 – 2012, pp. 426‐431, ISSN 1877‐0509.
  9. I. Valova, G. Milano, K. Bowen, and N. Gueorguieva, Bridging the fuzzy, neural and evolutionary paradigms for automatic target recognition. Applied Intelligence. 35(2): 211‐225 (2011).
  10. I. Valova, N. Gueorguieva, G. Georgiev, V. Glukh, Simulating the Influence of Ca on the Na Channel Excitability. Proceedings of Complex Adaptive Systems Conference, Oct. 31 ‐ Nov. 2, 2011, Chicago, Illinois, Elsevier, Volume 6 – 2011, pp. 323‐329, ISSN 1877‐0509.
  11. G. Georgiev, I. Valova, and N. Gueorguieva, Feature Selection for Multiclass Problems Based on Information Weights. Proceedings of Complex Adaptive Systems Conference, Chicago, Illinois, Elsevier, Volume 6 – 2011, pp. 189‐195, ISSN 1877‐0509.
  12. N. Gueorguieva, I. Valova, G. Georgiev, POFGEC: growing neural network of classifying potential function generators. Int. J. Knowledge Engineering and Soft Data Paradigms, Vol. 2, No. 2, 2010, pp. 130-159.

18.   G. Georgiev, I. Valova, and N. Gueorguieva, Binary Tree Classifier Based on Kolmogorov-Smirnov Test. G. Phillips-Wren et al. (Eds.): Advances in Intel. Decision Technologies, Smart Innovation Systems and Technologies (SIST 4), Springer-Verlag 2010, pp. 571–579.

19.   I. Valova , N. Gueorguieva, , G. Georgiev, V. Glukh, Simulating Brain Interaction of Synaptic Potentials   and Postsynaptic Inhibition. ASME Press Series on Intelligent Engineering Systems Through Artificial Neural Networks (ANNIE 2010), St Louis, MO, November 2010, pp. 301-310.

20.   G. Georgiev, I. Valova, and N. Gueorguieva, Neuro-Fuzzy Systems Approach in Modeling Rule and  Experience-Based Expectations. ASME Press Series on Intelligent Engineering Systems Through Artificial Neural Networks (ANNIE 2010), St Louis, MO, November 2010, pp. 347-355. (Second Runner-up Award in Theoretical Development in Computational Intelligence).

 

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