Публикации Крупного научного проекта
2021:
- Demichev, V., Tober-Lau, P., Lemke, O., Nazarenko, T., Thibeault, C., Whitwell, H., … & Kurth, F. (2021). A time-resolved proteomic and prognostic map of COVID-19. Cell systems.
- Sushentsev, N., Rundo, L., Blyuss, O., Gnanapragasam, V. J., Sala, E., & Barrett, T. (2021). MRI-derived radiomics model for baseline prediction of prostate cancer progression on active surveillance. Scientific Reports, 11(1), 1-11.
- Zinovyev, A. (2021). Adaptation through the lens of single-cell multi-omics data Comment on” Dynamic and thermodynamic models of adaptation” by AN Gorban et al. Physics of Life Reviews.
- Rodimkov, Y., Bhadoria, S., Volokitin, V., Efimenko, E., Polovinkin, A., Blackburn, T., … & Meyerov, I. (2021). Towards ML-Based Diagnostics of Laser–Plasma Interactions. Sensors, 21(21), 6982.
- Maximova, I., Vasiliev, E., Getmanskaya, A., Kior, D., Sukhov, V., Vodeneev, V., & Turlapov, V. (2021, July). Study of XAI-capabilities for early diagnosis of plant drought. In 2021 International Joint Conference on Neural Networks (IJCNN) (pp. 1-8). IEEE.
- Barkalov, K., Lebedev, I., & Kozinov, E. (2021). Acceleration of Global Optimization Algorithm by Detecting Local Extrema Based on Machine Learning. Entropy, 23(10), 1272.
- Krysko, O., Kondakova, E., Vershinina, O., Galova, E., Blagonravova, A., Gorshkova, E., … & Vedunova, M. Artificial intelligence predicts severity of COVID-19 based on correlation of exaggerated monocyte activation, excessive organ damage and hyperinflammatory syndrome: a prospective clinical study. Frontiers in Immunology, 3298.
- Kuznetsov, V. V., Moskalenko, V. A., Gribanov, D. V., & Zolotykh, N. Y. (2021). Interpretable Feature Generation in ECG Using a Variational Autoencoder. Frontiers in Genetics, 12.
- Gorban, A.N.; Grechuk, B.; Mirkes, E.M.; Stasenko, S.V.; Tyukin, I.Y. High-Dimensional Separability for One- and Few-Shot Learning. Entropy 2021, 23, 1090.
- Tavella, T., Rampelli, S., Guidarelli, G., Bazzocchi, A., Gasperini, C., Pujos-Guillot, E., … & Santoro, A. (2021). Elevated gut microbiome abundance of Christensenellaceae, Porphyromonadaceae and Rikenellaceae is associated with reduced visceral adipose tissue and healthier metabolic profile in Italian elderly. Gut microbes, 13(1), 1-19.
- Mishchenko, T. A., Balalaeva, I. V., Vedunova, M. V., & Krysko, D. V. (2021). Ferroptosis and photodynamic therapy synergism: enhancing anticancer treatment. Trends in Cancer.
- Nikitin, N. O., Vychuzhanin P., Sarafanov M., Polonskaia Ia. S., Revin Il., Barabanova I. V., Maximov G., Kalyuzhnaya A. V., Boukhanovsky A. (2022). Automated evolutionary approach for the design of composite machine learning pipelines. Future Generation Computer Systems, 127, 109-125.
- Kalyuzhnaya, A. V., Nikitin, N. O., Hvatov, A., Maslyaev, M., Yachmenkov, M., & Boukhanovsky, A. (2021). Towards generative design of computationally efficient mathematical models with evolutionary learning. Entropy, 23(1), 28.
- Kuzmina, K., Marchevsky, I., Soldatova, I., & Izmailova, Y. (2021). On the Scope of Lagrangian Vortex Methods for Two-Dimensional Flow Simulations and the POD Technique Application for Data Storing and Analyzing. Entropy, 23(1), 118.
- Gupta, S., Boers, N., Pappenberger, F., & Kurths, J. (2021). Complex network approach for detecting tropical cyclones. Climate Dynamics 57, 3355–3364.
- Fan, J., Meng, J., Ludescher, J., Chen, X., Ashkenazy, Y., Kurths, J., … & Schellnhuber, H. J. (2021). Statistical physics approaches to the complex Earth system. Physics reports, 896, 1-84.
- Gelbrecht, M., Boers, N., & Kurths, J. (2021). Variability of the low-level circulation of the South American Monsoon analysed with complex networks. The European Physical Journal Special Topics, 1-20.
- Wunderling, N., Donges, J. F., Kurths, J., & Winkelmann, R. (2021). Interacting tipping elements increase risk of climate domino effects under global warming. Earth System Dynamics, 12(2), 601-619.
- Ciemer, C., Winkelmann, R., Kurths, J., & Boers, N. (2021). Impact of an AMOC weakening on the stability of the southern Amazon rainforest. The European Physical Journal Special Topics, 1-9.
- Kittel, T., Ciemer, C., Lotfi, N., Peron, T., Rodrigues, F., Kurths, J., & Donner, R. V. (2021). Evolving climate network perspectives on global surface air temperature effects of ENSO and strong volcanic eruptions. The European Physical Journal Special Topics, 1-26.
- Lu, Z., Yuan, N., Yang, Q., Ma, Z., & Kurths, J. (2021). Early warning of the Pacific Decadal Oscillation phase transition using complex network analysis. Geophysical Research Letters, 48(7), e2020GL091674.
- Gelbrecht, M., Lucarini, V., Boers, N., & Kurths, J. (2021). Analysis of a bistable climate toy model with physics-based machine learning methods. The European Physical Journal Special Topics, 1-11.
- Gelbrecht, M., Boers, N., & Kurths, J. (2021). Neural partial differential equations for chaotic systems. New Journal of Physics, 23(4), 043005.
- Depickère, S., Kurths, J., & Ramírez-Ávila, G. M. (2021). Scientometric analysis of the Chaos journal (1991–2019): From descriptive statistics to complex networks viewpoints. Chaos: An Interdisciplinary Journal of Nonlinear Science, 31(4), 043105.
- Holstein, T., Wiedermann, M., & Kurths, J. (2021). Optimization of coupling and global collapse in diffusively coupled socio-ecological resource exploitation networks. New Journal of Physics, 23(3), 033027.
- Lobov, S. A., Zharinov, A. I., Makarov, V. A., & Kazantsev, V. B. (2021). Spatial Memory in a Spiking Neural Network with Robot Embodiment. Sensors, 21(8), 2678.
- Gordleeva, S. Y., Tsybina, Y. A., Krivonosov, M. I., Ivanchenko, M. V., Zaikin, A. A., Kazantsev, V. B., & Gorban, A. N. (2021). Modelling working memory in spiking neuron network accompanied by astrocytes. Frontiers in Cellular Neuroscience, 15, 86.
- Abrego, L., Gordleeva, S., Kanakov, O., Krivonosov, M., & Zaikin, A. (2021). Estimating integrated information in bidirectional neuron-astrocyte communication. Physical Review E, 103(2), 022410.
- Gergel, V., & Kozinov, E. (2021). Parallel solving of multiple information-coordinated global optimization problems. Journal of Parallel and Distributed Computing, 154, 153-162.
- Gorban, A. N. (2021). Transition states and entangled mass action law. Results in Physics, 103922.
- Rybnikova, N., Portnov, B. A., Mirkes, E. M., Zinovyev, A., Brook, A., Gorban, A. N. (2021). Coloring Panchromatic Nighttime Satellite Images: Comparing the Performance of Several Machine Learning Methods. IEEE Transactions on Geoscience and Remote Sensing.
- Kuksin, M., Morel, D., Aglave, M., Danlos, F. X., Marabelle, A., Zinovyev, A., … & Verlingue, L. (2021). Applications of single-cell and bulk RNA sequencing in onco-immunology. European Journal of Cancer, 149, 193-210.
2020:
- Rodimkov, Y., Efimenko, E., Volokitin, V., Panova, E., Polovinkin, A., Meyerov, I., & Gonoskov, A. (2021). ML-Based Analysis of Particle Distributions in High-Intensity Laser Experiments: Role of Binning Strategy. Entropy, 23(1), 21.
- Wunderling, N., Gelbrecht, M., Winkelmann, R., Kurths, J., & Donges, J. F. (2020). Basin stability and limit cycles in a conceptual model for climate tipping cascades. New Journal of Physics, 22(12), 123031.
- Sarafanov, M., Kazakov, E., Nikitin, N. O., & Kalyuzhnaya, A. V. (2020). A Machine Learning Approach for Remote Sensing Data Gap-Filling with Open-Source Implementation: An Example Regarding Land Surface Temperature, Surface Albedo and NDVI. Remote Sensing, 12(23), 3865.
- Martucci, M., Conte, M., Bucci, L., Giampieri, E., Fabbri, C., Palmas, M. G., … & Franceschi, C. (2020). Twelve-week daily consumption of Ad Hoc fortified milk with ω-3, D, and group B vitamins has a positive impact on inflammaging parameters: A randomized cross-over trial. Nutrients, 12(11), 3580.
- Mitroshina, E. V., Krivonosov, M. I., Burmistrov, D. E., Savyuk, M. O., Mishchenko, T. A., Ivanchenko, M. V., & Vedunova, M. V. (2020). Signatures of the consolidated response of astrocytes to ischemic factors in vitro. International journal of molecular sciences, 21(21), 7952.
- Chervov, A., Bac, J., & Zinovyev, A. (2020). Minimum Spanning vs. Principal Trees for Structured Approximations of Multi-Dimensional Datasets. Entropy, 22(11), 1274.
- Sidorov, S., & Zolotykh, N. (2020). Linear and Fisher separability of random points in the d-dimensional spherical layer and inside the d-dimensional cube. Entropy, 22(11), 1281.
- Gergel, V., Kozinov, E., & Barkalov, K. (2021). Computationally efficient approach for solving lexicographic multicriteria optimization problems. Optimization Letters, 15(7), 2469-2495.
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