Seminars schedule » History » Version 79
Version 78 (Evgeniy Pavlovskiy, 2018-11-08 22:28) → Version 79/552 (Evgeniy Pavlovskiy, 2018-11-08 22:29)
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.|
h2. Schedule 2017, autumn
Wednesday, 18:15, cab 5205 NSU new building
h3. 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:.-|
h3. 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.|
h2. Schedule 2018, spring
Wednesday, 18:15, cab 5205 NSU new building
h3. February, 2018
Related work
|15, #|Goals and motivation of participating in seminar.|
|20, #||
h3. 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.
h2. Schedule 2018, fall
Thursday, 18:10, cab 5273 NSU new building
h3. 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.
h3. 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|
h3. 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
-*Polina Potapova*, XNOR-Net, https://arxiv.org/pdf/1603.05279.pdf- (moved to December)
*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|
h3. December, 2018
|3, #|*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|
|10, #|*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~~
~~25 min slot~~|
|17, #|~~25 min slot~~
~~25 min slot~~
~~25 min slot~~
~~25 min slot~~|
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.|
h2. Schedule 2017, autumn
Wednesday, 18:15, cab 5205 NSU new building
h3. 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:.-|
h3. 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.|
h2. Schedule 2018, spring
Wednesday, 18:15, cab 5205 NSU new building
h3. February, 2018
Related work
|15, #|Goals and motivation of participating in seminar.|
|20, #||
h3. 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.
h2. Schedule 2018, fall
Thursday, 18:10, cab 5273 NSU new building
h3. 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.
h3. 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|
h3. 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
-*Polina Potapova*, XNOR-Net, https://arxiv.org/pdf/1603.05279.pdf- (moved to December)
*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|
h3. December, 2018
|3, #|*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|
|10, #|*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~~
~~25 min slot~~|
|17, #|~~25 min slot~~
~~25 min slot~~
~~25 min slot~~
~~25 min slot~~|