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Hushchyn, Mikhail
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1

Digital Twins for Storage Systems and RAID Pools: Enhancing..:

Al-Maeeni, Abdalaziz ; Temirkhanov, Aziz ; Ryzhikov, Artem...
EPJ Web of Conferences.  295 (2024)  - p. 09012 , 2024
Link: https://doi.org/10.1051/..
 
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2

Robust Neural Particle Identification Models:

Ryzhikov, Artem ; Temirkhanov, Aziz ; Derkach, Denis...
Journal of Physics: Conference Series.  2438 (2023)  1 - p. 012119 , 2023
Link: https://doi.org/10.1088/..
 
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3

Understanding of the properties of neural network approache..:

Demianenko, Mariia ; Malanchev, Konstantin ; Samorodova, Ekaterina...
Astronomy & Astrophysics.  677 (2023)  - p. A16 , 2023
Link: https://doi.org/10.1051/..
 
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4

Supernova Light Curves Approximation based on Neural Networ..:

Demianenko, Mariia ; Samorodova, Ekaterina ; Sysak, Mikhail...
Journal of Physics: Conference Series.  2438 (2023)  1 - p. 012128 , 2023
Link: https://doi.org/10.1088/..
 
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5

The Tracking Machine Learning Challenge: Throughput Phase:

Amrouche, Sabrina ; Basara, Laurent ; Calafiura, Paolo...
Computing and Software for Big Science.  7 (2023)  1 - p. , 2023
Link: https://doi.org/10.1007/..
 
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6

Latent Stochastic Differential Equations for Change Point D..:

Ryzhikov, Artem ; Hushchyn, Mikhail ; Derkach, Denis
IEEE Access.  11 (2023)  - p. 104700-104711 , 2023
Link: https://doi.org/10.1109/..
 
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7

Stokes Inversion Techniques with Neural Networks: Analysis ..:

Mistryukova, Lukia ; Plotnikov, Andrey ; Khizhik, Aleksandr...
Solar Physics.  298 (2023)  8 - p. , 2023
Link: https://doi.org/10.1007/..
 
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8

Towards Reliable Solar Atmospheric Parameters Neural-Based ..:

, In: Studies in Computational Intelligence; Advances in Neural Computation, Machine Learning, and Cognitive Research VI,
Mistryukova, Lukia ; Knyazeva, Irina ; Plotnikov, Andrey... - p. 12-18 , 2022
Link: https://doi.org/10.1007/..
 
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9

Generalization of change-point detection in time series dat..:

Hushchyn, Mikhail ; Ustyuzhanin, Andrey
Journal of Computational Science.  53 (2021)  - p. 101385 , 2021
Link: https://doi.org/10.1016/..
 
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10

Online detection of failures generated by storage simulator:

Arzymatov, Kenenbek ; Hushchyn, Mikhail ; Sapronov, Andrey...
Journal of Physics: Conference Series.  1740 (2021)  1 - p. 012052 , 2021
Link: https://doi.org/10.1088/..
 
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11

Variational Dropout Sparsification for Particle Identificat..:

Ryzhikov, Artem ; Derkach, Denis ; Hushchyn, Mikhail
Journal of Physics: Conference Series.  1525 (2020)  1 - p. 012099 , 2020
Link: https://doi.org/10.1088/..
 
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12

The Tracking Machine Learning Challenge: Accuracy Phase:

, In: The NeurIPS '18 Competition; The Springer Series on Challenges in Machine Learning,
Amrouche, Sabrina ; Basara, Laurent ; Calafiura, Paolo... - p. 231-264 , 2019
Link: https://doi.org/10.1007/..
 
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13

The TrackML high-energy physics tracking challenge on Kaggl:

Kiehn, Moritz ; Amrouche, Sabrina ; Calafiura, Paolo...
EPJ Web of Conferences.  214 (2019)  - p. 06037 , 2019
Link: https://doi.org/10.1051/..
 
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14

Machine Learning based Global Particle Identification Algor..:

Derkach, Denis ; Hushchyn, Mikhail ; Kazeev, Nikita...
EPJ Web of Conferences.  214 (2019)  - p. 06011 , 2019
Link: https://doi.org/10.1051/..
 
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15

Optimization of the SHiP Spectrometer Tracker geometry usin..:

Alenkin, Oleg ; Hushchyn, Mikhail ; Ustyuzhanin, Andrey...
EPJ Web of Conferences.  214 (2019)  - p. 06036 , 2019
Link: https://doi.org/10.1051/..
 
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