V. Gavrishchaka

发表

Advantages of Hybrid Deep Learning Frameworks in Applications with Limited Data

Zhenyi Yang, V. Gavrishchaka, Rebecca Miao, 2018, International Journal of Machine Learning and Computing.

Advances in Sun‐Earth Connection Modeling

V. Gavrishchaka, S. Ganguli, 2003 .

Multi-complexity ensemble measures for gait time series analysis: application to diagnostics, monitoring and biometrics.

Valeriy Gavrishchaka, Kristina Davis, Olga Senyukova, 2015, Advances in experimental medicine and biology.

Multi-complexity measures for early detection and monitoring of neurological abnormalities from gait time series

V. Gavrishchaka, O. Senyukova, Kristina Davis, 2013 .

Velocity‐shear‐induced ion‐cyclotron turbulence: Laboratory identification and space applications

G. Ganguli, M. Koepke, V. Gavrishchaka, 1995 .

ORIGIN OF LOW-FREQUENCY OSCILLATIONS IN THE IONOSPHERE

G. Ganguli, V. Gavrishchaka, S. Ganguli, 1998 .

SIMULTANEOUS OBSERVATION OF MULTIPLE NONLOCAL EIGENMODES OF AN INHOMOGENEITY-DRIVEN PLASMA INSTABILITY

M. Koepke, V. Gavrishchaka, M. Zintl, 1998 .

Velocity‐shear‐driven ion‐cyclotron waves and associated transverse ion heating

G. Ganguli, J. Bowles, M. Koepke, 1998 .

Velocity‐shear origin of low‐frequency electrostatic ion‐gyroresonant waves

G. Ganguli, M. Koepke, V. Gavrishchaka, 1998 .

BOOSTING-BASED FRAMEWORK FOR PORTFOLIO STRATEGY DISCOVERY AND OPTIMIZATION

V. Gavrishchaka, 2006 .

Resonant-to-nonresonant transition in electrostatic ion-cyclotron wave phase velocity

M. Koepke, V. Gavrishchaka, M. Zintl, 2003 .

Perpendicular ion heating by velocity‐shear‐driven waves

G. Ganguli, J. Bowles, M. Koepke, 1997 .

Velocity-shear origin of low-frequency ion-gyroresonant waves electrostatic

G. Ganguli, M. Koepke, V. Gavrishchaka, 2007 .

Dispersive properties of a magnetized plasma with a field‐aligned drift and inhomogeneous transverse flow

G. Ganguli, M. Koepke, V. Gavrishchaka, 1996 .

Leveraging Neural-Networks, Boosting and Domain-Knowledge to Discover Physiological Indicators with Minimal Sensitivity to Data Resolution

Zhenyi Yang, V. Gavrishchaka, Rebecca Miao, 2022, 2022 5th International Conference on Pattern Recognition and Artificial Intelligence (PRAI).

Higher order nonlocal formalism for linear analysis of a magnetized multispecies plasma with inhomogeneous flows

G. Ganguli, M. Koepke, V. Gavrishchaka, 1998 .

Low‐frequency oscillations and transport processes induced by multiscale transverse structures in the polar wind outflow: A three‐dimensional simulation

V. Gavrishchaka, S. B. Ganguli, S. Ganguli, 2001 .

Effect of trapped ions on shielding of a charged spherical object in a plasma.

G. Ganguli, M. Lampe, G. Joyce, 2001, Physical review letters.

Interactions between dust grains in a dusty plasma

G. Ganguli, M. Lampe, G. Joyce, 2000 .

Frequency Range and Spectral Width of Waves Associated With Transverse‐Velocity Shear

G. Ganguli, M. Koepke, V. Gavrishchaka, 2013 .

Inhomogeneous transverse electric fields and wave generation in the auroral region: A statistical study

G. Ganguli, T. Karlsson, J. Clemmons, 2001 .

Trapped ion effect on shielding, current flow, and charging of a small object in a plasma

Valeriy V. Gavrishchaka, Martin Lampe, Gurudas Ganguli, 2003 .

Velocity shear-driven instabilities in a rotating plasma layer

J. Peñano, G. Ganguli, V. Gavrishchaka, 1998 .

Synergy of physics-based reasoning and machine learning in biomedical applications: towards unlimited deep learning with limited data

Valeriy V. Gavrishchaka, Olga V. Senyukova, Mark Koepke, 2019, Advances in Physics: X.

Discovery of Hybrid Ensemble Models Resilient to Input Resolution Deterioration

Olga V. Senyukova, Rebecca Miao, Zhenyi Yang, 2021, 2021 4th International Conference on Information and Computer Technologies (ICICT).

Leveraging Domain-expert Knowledge, Boosting and Deep Learning for Identification of Rare and Complex States

Zhenyi Yang, Rebecca Miao, Valeriy V. Gavrishchaka, 2019, Journal of Physics: Conference Series.

Low frequency oscillations in a plasma with spatially variable field-aligned flow

G. Ganguli, W. Scales, S. Slinker, 2002 .

Electrostatic oscillations due to filamentary structures in the magnetic-field-aligned flow: The ion-acoustic branch

G. Ganguli, V. Gavrishchaka, S. B. Ganguli, 1999 .

Multimoment convecting flux tube model of the polar wind system with return current and microprocesses

V. Gavrishchaka, S. Banerjee, 2007 .

Trapped-Ion Effect on Charging of a Dust Grain in Plasma, and Shielding Around the Grain

G. Ganguli, M. Lampe, G. Joyce, 2001 .

Cross‐field transport due to low‐frequency oscillations in the auroral region: A three‐dimensional simulation

W. Krueger, V. Gavrishchaka, P. Guzdar, 1999 .

Analytic and simulation studies of dust grain interaction and structuring

G. Ganguli, M. Lampe, G. Joyce, 2001 .

Support Vector Machine as an Efficient Framework for Stock Market Volatility Forecasting

Valeriy V. Gavrishchaka, Supriya B. Ganguli, V. Gavrishchaka, 2006, Comput. Manag. Sci..

Multi-expert evolving system for objective psychophysiological monitoring and fast discovery of effective personalized therapies

Olga V. Senyukova, Valeriy Gavrishchaka, Ksenia Tulnova, 2017, 2017 Evolving and Adaptive Intelligent Systems (EAIS).

Volatility forecasting from multiscale and high-dimensional market data

Valeriy V. Gavrishchaka, Supriya B. Ganguli, V. Gavrishchaka, 2003, Neurocomputing.

Support vector machine as an efficient tool for high‐dimensional data processing: Application to substorm forecasting

Valeriy V. Gavrishchaka, Supriya B. Ganguli, V. Gavrishchaka, 2001 .

Optimization of the neural-network geomagnetic model for forecasting large-amplitude substorm events

Valeriy V. Gavrishchaka, Supriya B. Ganguli, V. Gavrishchaka, 2001 .

Boosting-Based Frameworks in Financial Modeling: Application to Symbolic Volatility Forecasting

Valeriy V. Gavrishchaka, V. Gavrishchaka, 2006 .

Discovery of Multi-spread Portfolio Strategies for Weakly-cointegrated Instruments Using Boosting-based Optimization

Valeriy V. Gavrishchaka, V. Gavrishchaka, 2006, JCIS.

Multi-Objective Physiological Indicators Based on Complementary Complexity Measures: Application to Early Diagnostics and Prediction of Acute Events

Valeriy V. Gavrishchaka, Olga V. Senyukova, Mark Koepke, 2011 .

Three‐dimensional simulations of the ionospheric plasma transport in the presence of the structured field‐aligned flows

V. Gavrishchaka, P. Guzdar, S. B. Ganguli, 1999 .

Ensemble Decomposition Learning for Optimal Utilization of Implicitly Encoded Knowledge in Biomedical Applications

Valeriy V. Gavrishchaka, Olga V. Senyukova, V. Gavrishchaka, 2011 .

Discovery of Hybrid Ensemble Models Resilient to Input Resolution Deterioration

Zhenyi Yang, V. Gavrishchaka, Rebecca Miao, 2021, 2021 4th International Conference on Information and Computer Technologies (ICICT).

Topological Representation of Rare States Using Combination of Persistent Homology and Complexity Measures

Rebecca Miao, Zhenyi Yang, Valeriy Gavrishchaka, 2020, 2020 3rd International Conference on Information and Computer Technologies (ICICT).

Generic Ensemble-Based Representation of Global Cardiovascular Dynamics for Personalized Treatment Discovery and Optimization

Olga V. Senyukova, Valeriy Gavrishchaka, Svetlana Gorokhova, 2016, ICCCI.

Universal Multi-complexity Measures for Physiological State Quantification in Intelligent Diagnostics and Monitoring Systems

Valeriy V. Gavrishchaka, Olga V. Senyukova, Mark Koepke, 2013 .

PHYSIOLOGICAL META-INDICATORS FOR PROFESSIONAL SPORT APPLICATIONS: EXPRESS DIAGNOSTICS, OVERTRAINING DETECTION, AND QUANTIFICATION OF INDIVIDUAL ZONES OF OPTIMAL FUNCTIONING (IZOF)

Valeriy V. Gavrishchaka, V. Gavrishchaka, 2011 .

Robust algorithmic detection of the developed cardiac pathologies and emerging or transient abnormalities from short periods of RR data

Valeriy V. Gavrishchaka, Olga V. Senyukova, V. Gavrishchaka, 2011 .

Robust Algorithmic Detection of Cardiac Pathologies from Short Periods of RR Data

Valeriy V. Gavrishchaka, Olga V. Senyukova, V. Gavrishchaka, 2013 .