MLN Gorban AN, Mirkes E, Zinovyev A. Data analysis with arbitrary error measures approximated by piece-wise quadratic PQSQ functions. Proceedings of International Joint Conference on Neural Networks, Rio, Brazil, 8-13 July 2018. https://ieeexplore.ieee.org/document/8489568 MLN Czerwinska U, Cantini L, Kairov U, Barillot E, Zinovyev A. Application of Independent Component Analysis to Tumor Transcriptomes Reveals Specific And Reproducible Immune-related Signals. Proceedings of International Conference on Latent Variable Analysis and Signal Separation, Surrey, UK, 2-6 July 2018. https://link.springer.com/chapter/10.1007/978-3-319-93764-9_46 MLN Gorban AN, Pitenko A, Zinovyev A. ViDaExpert: user-friendly tool for nonlinear visualization and analysis of multidimensional vectorial data. Proceedings of IEEE International Conference on Data Science and Advanced Analytics (DSAA), Paris, 19-21 October 2015 https://ieeexplore.ieee.org/document/7344818 MLN Gorban AN, Mirkes EM, Zinovyev A. Robust principal graphs for data approximation. Proceedings of European Conference on Data Analysis-2015, 2-4/9/2015, Colchester, UK http://repository.essex.ac.uk/15600/1/ECDA_Bk_Complete_25125_web.pdf MMN Radulescu O, Zinovyev A, Lilienbaum A. Model reduction and model comparison for NFkB signalling. Proceedings of Foundations of Systems Biology in Engineering, September 2007, Stuttgart, Germany. https://www.researchgate.net/publication/252775940_MODEL_REDUCTION_AND_MODEL_COMPARISON_FOR_NFkB_SIGNALING MMN Radulescu O, Gorban A, Vakulenko S, Zinovyev A. Hierarchies and modules in complex biological systems. Proceedings of European Conference on Complex Systems, September 2006, Oxford, UK http://www.leicestermath.org.uk/OxfordHiModP114.pdf MLN Gorban AN, Zinovyev A, Wunsch D. Application of the method of elastic maps in analysis of genetic texts. Proceedings of the International Joint Conference on Neural Networks, Portland, 20-24 July 2003 https://ieeexplore.ieee.org/document/1223685 MLN Gorban AN, Pitenko A, Zinovyev A, Wunsch D. Visualization of Any Data with Elastic Map Method. Proceedings of Artificial Neural Networks in Engineering, St. Louis, MO, November, 2001