Seminars schedule » History » Version 31
Version 30 (Evgeniy Pavlovskiy, 2017-12-12 11:28) → Version 31/552 (Evgeniy Pavlovskiy, 2017-12-12 12:16)
h1. Seminar "Big Data Analytics"
h2. Schedule 2017, spring
Wednesday, 18:15, cab 5205 NSU new building
h3. 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.|
h3. 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|
h3. 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.|
h3. 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.- topic.-
-*Frolov, Ilya*. Related work: Разработка системы аналитики мобильных приложений.- work-
*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. topic.
*Illarionov Boris*. Research topic: System development for brain fitness technology based on audio-visual-tactile brain stimulation. topic.
|
|20, #|*Raghuwanshi, Vipul*. Research topic: Transfer learning with cluster ensembles. topic.
*Malysheva Anastasia*. Research topic: The development and research of the prediction methods for time series obtained by the combination of different patterns. topic.
*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. topic.
*Marinov Andrey*. Research topic: Brain rest networks analysis with machine learning. Andrey*
*Muliukov Artem*. Research topic: Решение и последующее ускорение решения обратной задачи светорассеяния микрочастиц, путем оптимизации устройства предпосчитанной узловой базы данных моделирования микрочастиц.| Artem*|
h2. Schedule 2017, spring
Wednesday, 18:15, cab 5205 NSU new building
h3. 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.|
h3. 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|
h3. 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.|
h3. 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.- topic.-
-*Frolov, Ilya*. Related work: Разработка системы аналитики мобильных приложений.- work-
*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. topic.
*Illarionov Boris*. Research topic: System development for brain fitness technology based on audio-visual-tactile brain stimulation. topic.
|
|20, #|*Raghuwanshi, Vipul*. Research topic: Transfer learning with cluster ensembles. topic.
*Malysheva Anastasia*. Research topic: The development and research of the prediction methods for time series obtained by the combination of different patterns. topic.
*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. topic.
*Marinov Andrey*. Research topic: Brain rest networks analysis with machine learning. Andrey*
*Muliukov Artem*. Research topic: Решение и последующее ускорение решения обратной задачи светорассеяния микрочастиц, путем оптимизации устройства предпосчитанной узловой базы данных моделирования микрочастиц.| Artem*|