Seminars schedule » History » Version 80
« Previous -
Version 80/552
(diff) -
Next » -
Current version
Evgeniy Pavlovskiy, 2018-11-08 22:29
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
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
- Taylakov D.
- Savostyanov A.N.
- Duchkov A.
- Golovin S.
- Pavlovskiy E.
- Kohanovskiy A.
- Sviridenko D.
- Redyuk A.
- 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 Olga Yakovenko, RNN for Speech Recognition |
| 15, # | Ravi Kumar, Deep Learning in Mobile and Wireless Networks: a Survey Munjaradzi Njera, Attentioned based LSTM Juan Fernando Pinzon Correa, Rapids AI Urynbassarov Mukhtar, GAN |
| 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, 2018¶
| 6, # | Leyuan Sheng, CycleGAN Tagirova Elizaveta. LIME (local interpretable model-agnostic explanations) https://arxiv.org/pdf/1602.04938v1.pdf Luchkina Anastasia, Sobolev Training Fishman Daniil, Prediction of enhancer-promoter interactions via natural language processing |
| 13, # | Evgeniy Averyanov, Schmidt, Mark. Minimizing finite sums with the stochastic average gradient / M. Schmidt, N. Le Roux, F. Bach // Mathematical Programming. — 2017. — Vol. 162(1). — P. 83–112. — URL: https://link.springer.com/article/10.1007/s10107-016-1030-6 Polina Potapova, XNOR-Net, https://arxiv.org/pdf/1603.05279.pdf Lee Wonjai. Bayesian CDF (continue with example) ~25 min slot~ |
| 20, # | ~25 min slot~ ~25 min slot~ ~25 min slot~ ~25 min slot~ |