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Andrey Gavrilov

Andrey V. Gavrilov

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2020 – today

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2024
[j5]
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  - journals/computation/SedelnikovKSCAGKZC24
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Andry Sedelnikov, Evgenii Kurkin, Vitaliy Smelov, Vladislava Chertykovtseva, Vyacheslav Alekseev, Andrey Gavrilov, Evgenii Kishov, Maksim Zvyagincev, Sergey Chernyakin:
Short Fiber-Reinforced Polymer Polyamide 6 Lugs and Selective Laser-Melted Ti-6Al-4V Bushing Contact Cohesive Zone Model Mode II Parameters' Evaluation. Comput. 12(5): 105 (2024)
2020
[c24]
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  - conf/mie/DolotovaABDBSKG20
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Daria Dolotova, Ivan Arkhipov, Evgenia Blagosklonova, Victoria Donitova, Tatiana Barmina, Faat Sharifullin, Boris A. Kobrinskii, Andrey Gavrilov:
Application of Radiomics in Vesselness Analysis of CT Angiography Images of Stroke Patients. MIE 2020: 33-37

2010 – 2019

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2019
[c23]
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  - conf/icimth/BlagosklonovaDP19
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Evgenia Blagosklonova, Daria Dolotova, Nataliya Polunina, Valentin Stepanov, Anastasia Kiseleva, Ivan Arhipov, Andrey Gavrilov, Vladimir Krylov:
Virtual Planning of Extra-Intracranial Bypass with Numerical Investigation of Hemodynamics. ICIMTH 2019: 308-311
[c22]
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Daria Dolotova, Victoria Donitova, Ivan Arhipov, Faat Sharifullin, Tatiana Zagriazkina, Boris A. Kobrinskii, Andrey Gavrilov:
A Platform for Collection and Analysis of Image Data on Stroke. ICIMTH 2019: 312-315
2018
[c21]
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  - conf/tsp/FursovGK18
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Vladimir A. Fursov, Andrey V. Gavrilov, Anton P. Kotov:
Prediction of Estimates' Accuracy for Linear Regression with a Small Sample Size. TSP 2018: 1-7
2017
[c20]
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  - conf/icimth/KrylovGDBG17
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Vladimir Krylov, Elena Grigoryeva, Daria Dolotova, Evgenia Blagosklonova, Andrey Gavrilov:
CFD Modelling of Local Hemodynamics in Intracranial Aneurysms Harboring Arterial Branches. ICIMTH 2017: 64-67
2016
[j4]
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  - journals/jifs/SunIVGL16
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Shilei Sun, Silviu Ionita, Eva Volná, Andrey Gavrilov, Feng Liu:
Some highlights on fuzzy systems and data mining. J. Intell. Fuzzy Syst. 31(6): 2757-2758 (2016)
2015
[c19]
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Artem M. Yatchenko, Andrey Gavrilov, Elena Boldyreva, Ivan V. Arkhipov, Elena Grigoryeva, Ivan Godkov, Vladimir Krylov:
Blood Flow Prediction and Visualization within the Aneurysm of the Middle Cerebral Artery after Surgical Treatment. IMTA 2015: 108-113
2011
[c18]
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  - conf/icic/GavrilovL11
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Andrey V. Gavrilov, Artem Lenskiy:
Mobile Robot Navigation Using Reinforcement Learning Based on Neural Network with Short Term Memory. ICIC (1) 2011: 210-217
[c17]
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Artem M. Yatchenko, Andrey S. Krylov, Andrey V. Gavrilov, Ivan V. Arkhipov:
Graph-cut based antialiasing for Doppler ultrasound color flow medical imaging. VCIP 2011: 1-4

2000 – 2009

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2008
[j3]
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  - journals/ijon/AhmadGLL08
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Uzair Ahmad, Andrey V. Gavrilov, Sungyoung Lee, Young-Koo Lee:
A modular classification model for received signal strength based location systems. Neurocomputing 71(13-15): 2657-2669 (2008)
[j2]
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Donghai Guan, Weiwei Yuan, Young-Koo Lee, Andrey Gavrilov, Sungyoung Lee:
Improving supervised learning performance by using fuzzy clustering method to select training data. J. Intell. Fuzzy Syst. 19(4-5): 321-334 (2008)
[j1]
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Uzair Ahmad, Andrey Gavrilov, Young-Koo Lee, Sungyoung Lee:
Context-aware, self-scaling Fuzzy ArtMap for received signal strength based location systems. Soft Comput. 12(7): 699-713 (2008)
[c16]
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Andrey V. Gavrilov:
Context and Learning Based Approach to Programming of Intelligent Equipment. ISDA (2) 2008: 578-582
[c15]
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Andrey V. Gavrilov:
Hybrid Rule and Neural Network Based Framework for Ubiquitous Computing. NCM (2) 2008: 488-492
2007
[c14]
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Andrey Gavrilov, Sungyoung Lee:
Usage of Hybrid Neural Network Model MLP-ART for Navigation of Mobile Robot. ICIC (2) 2007: 182-191
[c13]
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  - conf/icic/GuanYLGL07
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Donghai Guan, Weiwei Yuan, Young-Koo Lee, Andrey Gavrilov, Sungyoung Lee:
Combining Multi-layer Perceptron and K-Means for Data Clustering with Background Knowledge. ICIC (3) 2007: 1220-1226
[c12]
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  - conf/ictai/AhmadGLL07
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Uzair Ahmad, Andrey Gavrilov, Sungyoung Lee, Young-Koo Lee:
CompoNet: Programmatically Embedding Neural Networks into AI Applications as Software Components. ICTAI (1) 2007: 194-201
[c11]
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Uzair Ahmad, Andrey Gavrilov, Sungyoung Lee, Young-Koo Lee:
Context-Aware Fuzzy ArtMap for Received Signal Strength Based Location Systems. IJCNN 2007: 2740-2745
[c10]
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Uzair Ahmad, Andrey Gavrilov, Sungyoung Lee, Young-Koo Lee:
A Rapid Development Approach for Signal Strength Based Location Systems. IPC 2007: 39-44
[c9]
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Andrey Gavrilov, Sungyoung Lee:
An Architecture of Hybrid Neural Network Based Navigation System for Mobile Robot. ISDA 2007: 587-590
[c8]
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  - conf/mlmta/ChoAGLL07
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Seong Jin Cho, Uzair Ahmad, Andrey Gavrilov, Sungyoung Lee, Young-Koo Lee:
Application of Support Vector Machines on Signal Strength Based Localization in Wireless Networks. MLMTA 2007: 24-30
[c7]
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  - conf/mlmta/GuanGYLL07
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Donghai Guan, Andrey Gavrilov, Weiwei Yuan, Young-Koo Lee, Sungyoung Lee:
A Novel Hybrid Neural Network for Data Clustering. MLMTA 2007: 284-288
[c6]
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  - conf/rtcsa/GuanYLGL07
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Donghai Guan, Weiwei Yuan, Young-Koo Lee, Andrey Gavrilov, Sungyoung Lee:
Activity Recognition Based on Semi-supervised Learning. RTCSA 2007: 469-475
[c5]
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Donghai Guan, Weiwei Yuan, Seong Jin Cho, Andrey Gavrilov, Young-Koo Lee, Sungyoung Lee:
Devising a Context Selection-Based Reasoning Engine for Context-Aware Ubiquitous Computing Middleware. UIC 2007: 849-857
2006
[c4]
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Donghai Guan, Weiwei Yuan, Andrey Gavrilov, Sungyoung Lee, Young-Koo Lee, Sangman Han:
Using Fuzzy Decision Tree to Handle Uncertainty in Context Deduction. ICIC (2) 2006: 63-72
[c3]
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  - conf/ijcnn/AhmadGLL06
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Uzair Ahmad, Andrey Gavrilov, Sungyoung Lee, Young-Koo Lee:
Modular Multilayer Perceptron for WLAN Based Localization. IJCNN 2006: 3465-3471
[c2]
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Andrey Gavrilov, Young-Koo Lee, Sungyoung Lee:
Hybrid Neural Network Model Based on Multi-layer Perceptron and Adaptive Resonance Theory. ISNN (1) 2006: 707-713
[c1]
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  - conf/wise/YuanGLLG06
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Weiwei Yuan, Donghai Guan, Sungyoung Lee, Young-Koo Lee, Andrey Gavrilov:
Finding Reliable Recommendations for Trust Model. WISE 2006: 375-386

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