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Andrey Zubkov, 2018-03-12 11:52
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) |
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 | 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. |
Schedule 2017, autumn
Wednesday, 18:15, cab 5205 NSU new building¶
December, 2017¶
6, #1919 | Sivaswamy Akilesh. Research topic. Sheng Leyuan. Research topic. Nachyn Alexander. Research topic. |
12, #1927 | 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. |
20, #1937 | Raghuwanshi, Vipul. Research topic: Transfer learning with cluster ensembles. 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: Acceleration of the solution of parametric inverse problem by constructing a hierarchical structure of a pre-computed modeled signals database. Firsov, Artemiy. Research topic: Revealing research institutes and their interactions: a case study of miRNA research. |
27, #1938 | Pinzon, Juan. Research topic: Sentiment analysis. Kurochkin Evgeniy. Research topic: Semantic contract development: from logic formula to program. Luchkina Alexandra. Research topic: Semantic contract development: from document to formula. Fishman Daniil. Research topic: Genome. |
January, 2018¶
20, #1939 | Sergeev Artem. Research topic: Determination of emotional context of text messages in social networks. Frolov, Ilya. Research topic: Development of an analytics system for mobile applications. Prokopchik, Konstantin. Research topic: A Music Generation System. Illarionov Boris. Research topic: System development for brain fitness technology based on audio-visual-tactile brain stimulation. Gyamerah Seth. Research topic: Financial forecasting using Elliott waves and Hurst cycles approach. Sambasivan, Nithin. Research topic: Study of relationships in social networks. |
Schedule 2018, spring
Wednesday, 18:15, cab 5205 NSU new building¶
February, 2018
Related work¶
15, # | Goals and motivation of participating in seminar. |
20, # |
March, 2018
Related work¶
1, #1964 | Sivaswamy, Akilesh. Review on multimodal machine learning: A Survey and taxonomy |
6, #1971 | Bomshtein, Yulia. Public speech training. |
15, # | Marinov Andrey. Related work. Zubkov Andrey, Information modeling of consciousness. |
22, # | |
29, # |
Kaggle teams:
1) Dream Crackers: Petr Gusev, Anastasia Malysheva, Andrey Marinov, Juan Pinzon
Challenge: https://www.kaggle.com/c/data-science-bowl-2018
2) Markelov Klim, Poteshkin Vitaly, Fishman Daniil, Sergeev Artem, Gyamerah Seth
Challenge: https://www.kaggle.com/c/landmark-recognition-challenge