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Superpolynomials for torus knots from evolution induced by cut-and-join operators

The journal of high energy physics, 2013-03, Vol.2013 (3), p.1-87, Article 21

2013

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Polynomiality of orbifold Hurwitz numbers, spectral curve, and a new proof of the Johnson–Pandharipande–Tseng formula

Journal of the London Mathematical Society, 2015-12, Vol.92 (3), p.547-565

2015

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DUBROVIN’S SUPERPOTENTIAL AS A GLOBAL SPECTRAL CURVE

Journal of the Institute of Mathematics of Jussieu, 2019-05, Vol.18 (3), p.449-497

2019

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Explicit computation of the Drinfeld associator in the case of the fundamental representation of gl(N)

Journal of physics. A, Mathematical and theoretical, 2012-09, Vol.45 (38), p.385204-15

2012

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Lattice theta constants vs Riemann theta constants and NSR superstring measures

The journal of high energy physics, 2009-10, Vol.2009 (10), p.072-72

2009

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Explicit closed algebraic formulas for Orlov–Scherbin n -point functions

Journal de l’École polytechnique — Mathématiques, 2022-01, Vol.9, p.1121-1158

2022

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Identification of the Givental Formula with the Spectral Curve Topological Recursion Procedure

Communications in mathematical physics, 2014-06, Vol.328 (2), p.669-700

2014

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Combinatorics of Bousquet-Mélou–Schaeffer numbers in the light of topological recursion

European journal of combinatorics, 2020-12, Vol.90, p.103184, Article 103184

2020

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Polynomiality of Hurwitz numbers, Bouchard–Mariño conjecture, and a new proof of the ELSV formula

Advances in mathematics (New York. 1965), 2015-07, Vol.279, p.67-103

2015

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Cut-and-join equation for monotone Hurwitz numbers revisited

Journal of geometry and physics, 2019-03, Vol.137, p.1-6

2019

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Explicit computation of the Drinfeld associator in the case of the fundamental representation of gl (N)

Journal of physics. A, Mathematical and theoretical, 2012, Vol.45 (38)

2012

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Geometric Hamiltonian formalism for reparameterization-invariant theories with higher derivatives

Theoretical and mathematical physics, 2009, Vol.158 (1), p.61-81

2009

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Associations of Morphometric Changes of the Brain with the Levels of IGF1, a Multifunctional Growth Factor, and with Systemic Immune Parameters Reflect the Disturbances of Neuroimmune Interactions in Patients with Schizophrenia

Advances in Neural Computation, Machine Learning, and Cognitive Research VI, p.167-179

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Disease Detection on the Plant Leaves by Deep Learning

Advances in Neural Computation, Machine Learning, and Cognitive Research II, p.151-159

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Review of State-of-the-Art in Deep Learning Artificial Intelligence

Optical memory & neural networks, 2018-04, Vol.27 (2), p.65-80

2018

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Forecasting of Influenza-like Illness Incidence in Amur Region with Neural Networks

Advances in Neural Computation, Machine Learning, and Cognitive Research II, p.307-314

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The Large-Scale Symmetry Learning Applying Pavlov Principle

Advances in Neural Computation, Machine Learning, and Cognitive Research III, p.405-411

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Super Intelligence to Solve COVID-19 Problem

Advances in Neural Computation, Machine Learning, and Cognitive Research IV, p.293-300

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Semiempirical Model of the Real Membrane Bending

Advances in Neural Computation, Machine Learning, and Cognitive Research II, p.221-226

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fMRI and Tractographic Studies of Cognitive Systems in the Human Brain at the Norm and the Paranoid Schizophrenia

Advances in Neural Computation, Machine Learning, and Cognitive Research II, p.291-299

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Real-Time Movement-Related EEG Phenomena Detection for Portable BCI Devices. Neural Network Approach

Advances in Neural Computation, Machine Learning, and Cognitive Research VII, p.157-164

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Find a Needle in a Haystack - Sorting arXiv Articles by Your Criteria

Advances in Neural Computation, Machine Learning, and Cognitive Research IV, p.357-362

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Models of Innate Neural Attractors and Their Applications for Neural Information Processing

Frontiers in systems neuroscience, 2016-01, Vol.9, p.178-178

2016

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Object-Process Methodology for Intelligent System Development

Advances in Neural Computation, Machine Learning, and Cognitive Research V, p.16-21

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EEG Correlates of Perception of Emotional Adjectives Analyzed by Neural Network’s Interpretability Values

Advances in Neural Computation, Machine Learning, and Cognitive Research V, p.94-98

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Superpolynomials for torus knots from evolution induced by cut-and-join operators

Polynomiality of orbifold Hurwitz numbers, spectral curve, and a new proof of the Johnson–Pandharipande–Tseng formula

DUBROVIN’S SUPERPOTENTIAL AS A GLOBAL SPECTRAL CURVE

Explicit computation of the Drinfeld associator in the case of the fundamental representation of gl(N)

Lattice theta constants vs Riemann theta constants and NSR superstring measures

Explicit closed algebraic formulas for Orlov–Scherbin n -point functions

Identification of the Givental Formula with the Spectral Curve Topological Recursion Procedure

Combinatorics of Bousquet-Mélou–Schaeffer numbers in the light of topological recursion

Polynomiality of Hurwitz numbers, Bouchard–Mariño conjecture, and a new proof of the ELSV formula

Cut-and-join equation for monotone Hurwitz numbers revisited

Explicit computation of the Drinfeld associator in the case of the fundamental representation of gl (N)

Geometric Hamiltonian formalism for reparameterization-invariant theories with higher derivatives

Associations of Morphometric Changes of the Brain with the Levels of IGF1, a Multifunctional Growth Factor, and with Systemic Immune Parameters Reflect the Disturbances of Neuroimmune Interactions in Patients with Schizophrenia

Disease Detection on the Plant Leaves by Deep Learning

Review of State-of-the-Art in Deep Learning Artificial Intelligence

Forecasting of Influenza-like Illness Incidence in Amur Region with Neural Networks

The Large-Scale Symmetry Learning Applying Pavlov Principle

Super Intelligence to Solve COVID-19 Problem

Semiempirical Model of the Real Membrane Bending

fMRI and Tractographic Studies of Cognitive Systems in the Human Brain at the Norm and the Paranoid Schizophrenia

Real-Time Movement-Related EEG Phenomena Detection for Portable BCI Devices. Neural Network Approach

Find a Needle in a Haystack - Sorting arXiv Articles by Your Criteria

Models of Innate Neural Attractors and Their Applications for Neural Information Processing

Object-Process Methodology for Intelligent System Development

EEG Correlates of Perception of Emotional Adjectives Analyzed by Neural Network’s Interpretability Values

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