Project

General

Profile

History

Seminars schedule » History » Version 31

« Previous - Version 31/552 (diff) - Next » - Current version
Evgeniy Pavlovskiy, 2017-12-12 12:16

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.

December, 2017

6, #1919 Sivaswamy Akilesh. Research topic.
Sheng Leyuan. Research topic.
Nachyn Alexander. Research topic.
12, # Firsov, Artemiy. Research topic: Revealing research institutes and their interactions: a case study of miRNA research.
Frolov, Ilya. Related work: Разработка системы аналитики мобильных приложений.
Gusev, Petr. Research topic: Алгоритмы решения задачи об (r,p) центроиде на плоскости в метрике l1.
Zubkov, Andrey. Research topic: Motivation(Curiousity)-driven machine learning and AI self-reflection level.
Illarionov Boris. Research topic: System development for brain fitness technology based on audio-visual-tactile brain stimulation.
20, # Raghuwanshi, Vipul. Research topic: Transfer learning with cluster ensembles.
Malysheva Anastasia. Research topic: The development and research of the prediction methods for time series obtained by the combination of different patterns.
Tussupova Madina. Research topic: Development of storage and analysis methods of multidimensional and heterogeneous data in parallel systems focused on the use of analytical streaming tools.
Marinov Andrey. Research topic: Brain rest networks analysis with machine learning.
Muliukov Artem. Research topic: Решение и последующее ускорение решения обратной задачи светорассеяния микрочастиц, путем оптимизации устройства предпосчитанной узловой базы данных моделирования микрочастиц.