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Evgeniy Pavlovskiy, 2017-05-10 14:55


Seminar "Big Data Analytics"

Schedule 2017, spring
Wednesday, 18:15, cab 5205 NSU new building

March, 2017

9
15, #1549 Videolecture from Yann LeCun. #1549
22, #1557 Pakulich, Dmitry. Skull surface restoration by Neural Networks for Cranioplastic.
Gusev, Petr. Tool for scholars to study machine learning in images.
29, #1578 Dorozhko, Anton. Reinforcement learning: a brief review.
Laptev, Vlad. Tool for scholars to study text mining.

April, 2017

5, #1584 Lukash, Arina. Using deep learning for paronym resolution (in Russian).
Firsov, Artemiy. Team management presentation.
12, #1592 Istomin, Michael. Optimization of algorithm of binary convolution for ARM processors (in Russian).
Nikolenko, Nikita. FRIS - censoring of training sample for images in the task of neural network faces recognition (in Russian).
19, #1601 Firsov, Artemiy. Report on Frontiers of Massive Data Analysis, Chapter 4 TEMPORAL DATA AND REAL-TIME ALGORITHMS (1/2 real-time data storage)
Illarionov, Boris. Report on Frontiers of Massive Data Analysis, Chapter 6
26, #1609 Beloglazov, Dmitry. Machine Learning tasks for Music Composing. Several topics for master's capstone project.
Firsov, Artemiy. Report on Frontiers of Massive Data Analysis, Chapter 4 TEMPORAL DATA AND REAL-TIME ALGORITHMS (2/2 real-time algorithms)
Illarionov, Boris. Report on Frontiers of Massive Data Analysis, Chapter 6

May, 2017

3, #1630 Prokopchik, Konstantin. Report on Frontiers of Massive Data Analysis, Chapter 9 HUMAN INTERACTION WITH DATA.
Frolov, Ilja. Report on Frontiers of Massive Data Analysis, Chapter 7 BUILDING MODELS FROM MASSIVE DATA.
17, #1632 Nemchaninov, Alexander. Reinforcement learning by combining logics and NN.
Prokopchik, Konstantin. Report on Frontiers of Massive Data Analysis, Chapter 9 HUMAN INTERACTION WITH DATA.
24, #1633 Raghuwanshi, Vipul. Report on Frontiers of Massive Data Analysis, Chapter 8 Sampling and massive data.