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.

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	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, #1937	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: 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. Frolov, Ilya. Related work: Разработка системы аналитики мобильных приложений. Illarionov Boris. Research topic: System development for brain fitness technology based on audio-visual-tactile brain stimulation. Malysheva, Anastasia, Research topic:. Gyamerah, Seth. Research topic:. Sambasivan, Nithin. Research topic:. Startsev, Konstantin. Research topic:. Prokopchik, Konstantin. Research topic:.

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
Deadline: April 16, 2018 - Final submission deadline.

2) No name: Markelov Klim, Poteshkin Vitaly, Fishman Daniil, Sergeev Artem, Gyamerah Seth
Challenge: https://www.kaggle.com/c/landmark-recognition-challenge
Deadline: May 22, 2018 - Final submission deadline.

3) Joy Corps: Konstantin Startsev, Leyuan Sheng, Madina Tussupova, Artem Mulyukov.
Challenge: https://www.kaggle.com/c/jigsaw-toxic-comment-classification-challenge
Deadline: March 20, 2018 - Final submission deadline.

4) Team-A: Evgeniy Kurochkin, Aleksandra Luchkina.
Challenge: https://www.kaggle.com/c/talkingdata-adtracking-fraud-detection
Deadline: May 7, 2018 - Final submission deadline.

Schedule 2018, fall
Thursday, 18:10, cab 5273 NSU new building¶

September, 2018¶

1. 2nd year students coursework pre-defence: (1) #2008, (2) 14.09.2018.

2. Scientific advisors presentations: https://trello.com/b/ZlMTMsS8/bdaai-scientific-topics

1. Taylakov D.
2. Savostyanov A.N.
3. Duchkov A.
4. Golovin S.
5. Pavlovskiy E.
6. Kohanovskiy A.
7. Sviridenko D.
8. Redyuk A.
9. Vityaev E.

October, 2018¶

18, #2028	Planning the semester
25, #	Klim Markelov, Capsule NN Andrey Zubkov, Dynamic Word Embeddings https://arxiv.org/abs/1804.07983 Vitaly Poteshkin, MixUp Planning the semester

November, 2018¶

1, #	Petr Gusev. ResNet, ResNeXt K. He, X. Zhang, S. Ren, and J. Sun. Deep Residual Learning for Image Recognition. In CVPR, 2016 Anastasia Malysheva, Variational Autoencoders Anik Chakrabarthy. Quantum Semantics ~25 min slot~
8, #	Akilesh Sivawamy, Mobile NN. Lee Wonjai. Bayesian CDF ~25 min slot~ ~25 min slot~
15, #	Ravi Kumar, Deep Learning in Mobile and Wireless Networks: a Survey Munjaradzi Njera, Attentioned based LSTM Juan Fernando Pinzon Correa, Rapids AI ~25 min slot~
29, #	Roman Kozinets, Siamese NN Omid Razizadeh, tSNE Jetina Tsvaki, Natural language based financial forecasting: a survey Owen Siyoto, Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network

December, 2019¶

3, #	Leyuan Sheng, CycleGAN Tagirova Elizaveta. LIME (local interpretable model-agnostic explanations) https://arxiv.org/pdf/1602.04938v1.pdf ~25 min slot~ ~25 min slot~
10, #	~25 min slot~ ~25 min slot~ ~25 min slot~ ~25 min slot~
17, #	~25 min slot~ ~25 min slot~ ~25 min slot~ ~25 min slot~