Intelligent Data Processing: Theory and Applications/2016

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11-th IDP Conference — Intelligent Data Processing: Theory and Practice is held in Barcelona, Spain, on October 10-14, 2016.
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The 11-th International Conference on Intelligent Data Processing: Theory and Applications is held in Barcelona, Spain on October 10-14, 2016.
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Additional information is available at [http://mmro.ru/en/ mmro.ru].
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Additional information is available at [http://mmro.ru/en/ mmro.ru]. The russian version of the program is available at [http://www.machinelearning.ru/wiki/index.php?title=Интеллектуализация_обработки_информации_%28конференция%29/2016 program.ru]
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''This is the preview version of the program and it may be changed!''
== Monday, October 10 [9:30–11:30] ==
== Monday, October 10 [9:30–11:30] ==
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== Monday, October 10 [12:00–13:20] ==
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# 09:30 ''{{докладчик|Svetlana Velikanova, Konstantin Vorontsov, Xavier Mayo, Jordi Puignero}}'' Opening Remarks
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== Monday, October 10 [15:00–16:40] ==
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# 10:00 ''{{докладчик|Angie Ma}}'' (ASI Data Science) <br/> Practical machine learning for businesses
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== Monday, October 10 [17:00–19:00] ==
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# 10:30 ''{{докладчик|Sina Sohangir}}'' (Snapchat) <br/> Big Data Platform and Analytics at Snapchat, a next generation social network in the making
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# 11:00 ''{{докладчик|Jordi Puiggali}}'' (Scytl) <br/> Citizen privacy and secrecy challenges in government Open Data
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== Monday, October 10 [12:00–13:30] ==
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# 12:00 ''{{докладчик|Amir Youssefi}}'' (PayPal) <br/> Big Data: past experiences, current trends and future possibilities
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# 12:30 ''{{докладчик|Victor Lempitsky}}'' (Skolkovo Institute of Science and Technology) <br/> Image Synthesis with Deep Neural Networks
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# 13:00 ''{{докладчик|Leonid Zhukov}}'' (Boston Consulting Group) <br/> Machine Intelligence in Industry 4.0
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== Monday, October 10 [15:00–16:30] ==
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# 15:00 ''{{докладчик|Pier Paolo Rossi}}'' (Banc Sabadell) <br/> Case of Big Data in Banc Sabadell, resulting in €10 Million of incremental incomes
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# 15:30 ''{{докладчик|Michael Levin}}'' (Yandex Data Factory) <br/> Unlocking the Value of Machine Learning for Business
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# 16:00 ''{{докладчик|Davide Consiglio}}'' (Boston Consulting Group) <br/> Latest advanced analytics trends across Europe
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== Monday, October 10 [17:00–18:30] ==
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# 17:00 ''{{докладчик|Jane Zavalishina}}'' (Yandex Data Factory), ''{{докладчик|Davide Consiglio}}'' (BCG), ''{{докладчик|Andrey Kutovoy}}'' (VTB), ''{{докладчик|Pier Paolo Rossi}}'' (Banc Sabadell) <br/> Machine Learning for Banks
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# 18:00 ''{{докладчик|Kamran Elahian}}'' (500 Startups / Berkeley Haas BIT-Amena) <br/> Algorithmic thinking vs Out of the box thinking
== Tuesday, October 11 [9:30–11:30] ==
== Tuesday, October 11 [9:30–11:30] ==
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# 09:30 ''{{докладчик|Vadim Strijov}}'' (MIPT) <br/> [http://strijov.com/papers/Strijov2016IDP.pdf Model selection for time series forecasting]
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# 10:00 ''{{докладчик|Paolo Rosso}}'' (Universitat Politècnica de València) <br/> Mining Intelligent Information in Twitter: Detecting Irony and Sarcasm
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# 10:30 ''{{докладчик|Boris Polyak}}'' (Institute for Control Science of RAS) <br/> Robust Principal Component Analysis
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# 11:00 ''{{докладчик|Alessandra Staglianò}}'' (ASI Data Science) <br/> Detecting Anomalies in the Real World
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== Tuesday, October 11 [12:00–13:20] ==
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== Tuesday, October 11 [12:00–13:30] ==
=== Section A ===
=== Section A ===
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# 12:00 ''{{докладчик|Sima Yazdani}}'' (Cisco) <br/> Benefiting Local Talent Markets using Knowledge Networks & Cognitive Surplus
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# 12:30 ''{{докладчик|Yannis Ghazouani}}'' (Dataiku) <br/> Labelling images using transfer learning. An application to recommender system
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# 13:00 ''{{докладчик|Flavio Soarez}}'' (Soares & Vacite) <br/> Blockchain on intellectual property: Legal issues
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=== Section В ===
=== Section В ===
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# ''{{докладчик|Vladimirova Maria}}, Strijov Vadim'' <br/> '''(EN)''' Bagging of Neural Networks in Multitask Classification of Biological Acivity for Nuclear Receptors
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# 12:00 ''{{докладчик|Paolo Rosso}}'' <br/> '''(EN)''' [[Media:12AM-IDP-author-profiling-PaoloRosso.pdf|Mining demographic information in social media: age, gender, and personality]]
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# ''{{докладчик|Dvoenko Sergey}}, Pshenichny Denis'' <br/> '''(EN)''' Feature Grouping Based on the Optimal Sequence of Correlation Matrix Minors
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# 12:20 ''{{докладчик|Ignatov Dmitry}}, Gizdatullin Danil, Mitrofanova Ekaterina, Muratova Anna, Baixeries Jaume'' <br/> ('''EN''') [[Media:Ignatov_IDPtalk.pdf|Pattern-based classification of demographic sequences]]
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# ''{{докладчик|Efimova Valeria}}, Filchenkov Andrey, Shalyto Anatoly'' <br/> '''(EN)''' Reinforcement-based Simultaneous Classification Model and its Hyperparameters Selection
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# 12:40 ''{{докладчик|Dvoenko Sergey}}, Pshenichny Denis'' <br/> '''(EN)''' [[Media:IDP-2016-Clustering.pdf|Feature Grouping Based on the Optimal Sequence of Correlation Matrix Minors]]
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# ''{{докладчик|Ignatov Dmitry}}, Gizdatullin Danil, Mitrofanova Ekaterina, Muratova Anna, Baixeries Jaume'' <br/> ('''EN''') Pattern-based classification of demographic sequences
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# 13:00 ''{{докладчик|Vladimirova Maria}}, Strijov Vadim'' <br/> '''(EN)''' [[Media:VladimirovaIOI2016_eng.pdf|Bagging of Neural Networks in Multitask Classification of Biological Acivity for Nuclear Receptors]]
== Tuesday, October 11 [15:00–16:40] ==
== Tuesday, October 11 [15:00–16:40] ==
=== Section A ===
=== Section A ===
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# 15:00 ''{{докладчик|Alexander Isakov}}'' (Pallantius) <br/> Data Compass: Finding Your Way with Analytics
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# 15:30 ''{{докладчик|Yegor Budnikov}}'' (ABBYY) <br/> ABBYY COMPRENO: Technologies of Semantic Analysis and Information Extraction
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# 16:00 ''{{докладчик|Konstantin Mertsalov}}'' (Rational Enterprise) <br/> Managing Unstructured Data in the Enterprise
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=== Section В. Biometrics ===
=== Section В. Biometrics ===
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# ''{{докладчик|Efimov Yuriy}}, Matveev Ivan'' <br/> '''(EN)''' Iris image segmentation by paired gradient method with pupil border refinement
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# 15:00 ''{{докладчик|Efimov Yuriy}}, Matveev Ivan'' <br/> '''(EN)''' [[Media:01.Efimov.IrisSegmentation.Presentation.pdf|Iris image segmentation by paired gradient method with pupil border refinement]]
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# ''{{докладчик|Matveev Ivan}}, Talipov Kamil'' <br/> '''(RU)''' Eyelids and eyelash detection based on clusterization of vector of local features
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# 15:20 ''{{докладчик|Matveev Ivan}}, Talipov Kamil'' <br/> '''(EN)''' [[Media:MatveevTalipov.pdf|Eyelids and eyelash detection based on clusterization of vector of local features]]
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# ''{{докладчик|Odinokikh Gleb}}, Gnatyuk Vitaly, Korobkin Mikhail, Eremeev Vladimir'' <br/> '''(EN)''' Eyelid Position Detection Method for Mobile Iris Recognition
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# 15:40 ''{{докладчик|Odinokikh Gleb}}, Gnatyuk Vitaly, Korobkin Mikhail, Eremeev Vladimir'' <br/> '''(EN)''' [[Media:IDP2016_Eyelid_Position_Detection_Method_for_Mobile_Iris_Recognition.pdf|Eyelid Position Detection Method for Mobile Iris Recognition]]
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# ''{{докладчик|Solomatin Ivan}}, Matveev Ivan, Novik Vladimir'' <br/> '''(EN)''' Detecting visible areas of iris by qualifier of textures with support set
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# 16:00 ''{{докладчик|Solomatin Ivan}}, Matveev Ivan, Novik Vladimir'' <br/> '''(EN)''' [[Media:04.Solomatin.EESLocalization.Presentation.pdf|Detecting visible areas of iris by qualifier of textures with support set]]
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# ''{{докладчик|Chigrinskiy Viktor}}, Efimov Yuriy, Matveev Ivan'' <br/> '''(EN)''' Fast algorithm for determining pupil and iris boundaries
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# 16:20 ''{{докладчик|Chigrinskiy Viktor}}, Efimov Yuriy, Matveev Ivan'' <br/> '''(EN)''' [[Media:05.Chigrinskiy.DeterminingIrisBoundaries.Presentation.pdf|Fast algorithm for determining pupil and iris boundaries]]
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== Tuesday, October 11 [17:00–19:00] ==
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== Tuesday, October 11 [17:00–18:40] ==
=== Section A ===
=== Section A ===
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# 17:00 ''{{докладчик|Pouya Tafti}}'' (Allianz) <br/> Big Business meets Big Data, a personal perspective
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# 18:00 ''{{докладчик|Christian Palau Sanz}}'' (Red Arbor) <br/> Challenges and new opportunities that Big Data is giving to the industry of the job classifieds
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=== Section В. Time Series and Biomedical Signal Analysis ===
=== Section В. Time Series and Biomedical Signal Analysis ===
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# ''{{докладчик|Goncharov Alexey}}, Strijov Vadim'' <br/> '''(EN)''' Warping path for continuous time series alignment
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# 17:20 ''{{докладчик|Sushkova Olga}}, Morozov Alexei, Gabova Alexandra, Bugaev Alexandr'' <br/> '''(EN)''' [[Media:1_Sushkova_IDP-2016.pdf|A statistically significant decrease of the quantity of beta wave packets in de novo Parkinson's disease]]
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# ''{{докладчик|Florinsky Igor}}, Pankratov Anton'' <br/> '''(EN)''' On the role of the Fejér summation in terrain modeling
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# 17:40 ''{{докладчик|Florinsky Igor}}, Pankratov Anton'' <br/> '''(EN)''' [[Media:2_IOI-2016_Florinsky.pdf|On the role of the Fejér summation in terrain modeling]]
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# ''{{докладчик|Rykunov Stanislav}}, Boyko Anna, Sychev Vyacheslav, Ustinin Mikhail, Rykunova Elena'' <br/> '''(EN)''' Partial spectroscopy of the human brain spontaneous activity
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# 18:00 ''{{докладчик|Rykunov Stanislav}}, Boyko Anna, Sychev Vyacheslav, Ustinin Mikhail, Rykunova Elena'' <br/> '''(EN)''' [[Media:3_Rykunov_IDP16.pdf|Partial spectroscopy of the human brain spontaneous activity]]
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# ''{{докладчик|Ustinin Mikhail}}, Rykunov Stanislav, Boyko Anna, Sychev Vyacheslav'' <br/> '''(EN)''' Frequency-pattern data analysis to estimate the functional structure of the human body from external magnetic field
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# 18:20 ''{{докладчик|Goncharov Alexey}}, Strijov Vadim'' <br/> '''(EN)''' [[Media:4_Goncharov_IOI-11.pdf|Warping path for continuous time series alignment]]
== Thursday, October 13 [9:30–11:30] ==
== Thursday, October 13 [9:30–11:30] ==
=== Section A. Linear Predictive Models ===
=== Section A. Linear Predictive Models ===
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# ''{{докладчик|Seredin Oleg}}, Mottl Vadim'' <br/> '''(RU)''' Methods of embedding real-world entities into a normed linear space for implementing the generalized linear approach to dependence estimation
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# 9:30 ''{{докладчик|Mottl Vadim}}, Seredin Oleg'' <br/> '''(RU)''' [[Media:01.Mottl_IDP_2016.pdf‎|A generalized linear approach to estimation of dependences from empirical data]]
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# ''{{докладчик|Mottl Vadim}}, Seredin Oleg'' <br/> '''(RU)''' A generalized linear approach to estimation of dependences from empirical data
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# 9:50 ''{{докладчик|Seredin Oleg}}, Mottl Vadim'' <br/> '''(RU)''' [[Media:02.Seredin_IDP_2016_present_eng.pdf|Methods of embedding real-world entities into a linear space for implementing the generalized linear approach to dependence estimation]]
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# ''{{докладчик|Krasotkina Olga}}, Vadim Mottl, Elena Chernousova'' <br/> '''(RU)''' Model volatility verification in problems of non-stationary dependence estimation
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# 10:10 ''{{докладчик|Turkov Pavel}}, Krasotkina Olga, Mottl Vadim'' <br/> '''(RU)''' [[Media:05.Turkov_IDP_2016_present.pdf|Estimation of arbitrary nonstationary dependences in a linear observation space]]
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# ''{{докладчик|Malenichev Anton}}, Krasotkina Olga, Mottl Vadim'' <br/> '''(RU)''' Quick methods of on-line learning for generalized lnear models of arbitrary dependences
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# 10:30 ''{{докладчик|Krasotkina Olga}}, Vadim Mottl, Elena Chernousova'' <br/> '''(RU)''' Model volatility verification in problems of non-stationary dependence estimation
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# ''{{докладчик|Turkov Pavel}}, Krasotkina Olga, Mottl Vadim'' <br/> '''(RU)''' Estimation of arbitrary nonstationary dependences in a linear observation space
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# 10:50 ''{{докладчик|Malenichev Anton}}, Krasotkina Olga, Mottl Vadim'' <br/> '''(RU)''' Quick methods of online learning for generalized linear models of arbitrary dependences
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=== Section В. Анализ текстов и информационный поиск===
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=== Section В. Text Analysis and Information Retrieval ===
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# ''{{докладчик|Воронцов Константин Вячеславович}}, Апишев Мурат Азаматович, Кольцов Сергей Николаевич, Кольцова Елена Юрьевна, Николенко Сергей Игоревич'' <br/> Аддитивная регуляризация тематических моделей для поиска этничного дискурса в социальных медиа
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# 9:30 ''{{докладчик|Vorontsov Konstantin}}, Apishev Murat, Koltsov Sergei, Koltsova Olessia, Nikolenko Sergey'' <br/> '''(RU)''' [[Media:iip11_Vorontsov.pdf|Additively Regularized Topic Model for Searching Ethnical Discourse in Social Media]]
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# ''{{докладчик|Чиркова Надежда Александровна}}, Воронцов Константин Вячеславович'' <br/> Additive Regularization for Hierarchical Multimodal Topic Modeling
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# 9:50 ''{{докладчик|Chirkova Nadezhda}}, Vorontsov Konstantin'' <br/> '''(EN)''' [[Media:2.Chirkova.pdf|Additive Regularization for Hierarchical Multimodal Topic Modeling]]
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# ''{{докладчик|Фильченков Андрей Александрович}}, Смелик Николай Дмитриевич'' <br/> Multimodal topic model for texts and images utilizing their embeddings
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# 10:10 ''{{докладчик|Filchenkov Andrey}}, Smelik Nikolay'' <br/> '''(EN)''' [[Media:iip11_Filchenkov.pdf|Multimodal topic model for texts and images utilizing their embeddings]]
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# ''{{докладчик|Янина Анастасия Олеговна}}, Воронцов Константин Вячеславович'' <br/> Мультимодальные тематические модели для разведочного поиска в коллективном блоге
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# 10:30 ''{{докладчик|Ianina Anastasia}}, Vorontsov Konstantin'' <br/> '''(RU)''' [[Media:iip11_Yanina.pdf|Multimodal topic modeling for exploratory search in collective blog]]
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# ''{{докладчик|Волков Никита Алексеевич}}, Жуковский Максим Евгеньевич'' <br/> Вероятностная модель для сглаживания целевых метрик качества ранжирования
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# 10:50 ''{{докладчик|Mikhaylov Dmitry}}, Kozlov Aleksandr, Emelyanov Gennady'' <br/> '''(RU)''' [[Media:iip11_mdv_pres_eng.pdf|Coupling strength of words and estimation of text relevance to unit of knowledge in open tests]]
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# ''{{докладчик|Михайлов Дмитрий Владимирович}}, Козлов Александр Павлович, Емельянов Геннадий Мартинович'' <br/> Сила связи слов и оценка релевантности текста единице представления знаний в открытых тестах
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== Thursday, October 13 [12:00–13:20] ==
== Thursday, October 13 [12:00–13:20] ==
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=== Section A. Линейные модели восстановления зависимостей ===
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=== Section A. Linear Predictive Models ===
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# ''{{докладчик|Неделько Виктор Михайлович}}'' <br/> Исследование эффективности некоторых линейных методов классификации
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# 12:00 ''{{докладчик|Nedel'ko Victor}}'' <br/> '''(RU)''' [[Media:Nedelko_IOI2016_presentation.pdf|Investigation of effectiveness of several linear classifiers]]
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# ''{{докладчик|Моттль Вадим Вячеславович}}, Левдик Павел Владимирович, Красоткина Ольга Вячеславовна'' <br/> Проверка обоснованности обучаемых моделей зависимостей: Обобщенный линейный подход
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# 12:20 ''{{докладчик|Mottl Vadim}}, Levdik Pavel, Krasotkina Olga'' <br/> '''(RU)''' [[Media:02.Mottl_Levdik_IDP_2016_present.pdf|‎Evidence evaluation for trainable models of arbitrary dependences: A generalized linear approach]]
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# ''{{докладчик|Левдик Павел Владимирович}}, Моттль Вадим Вячеславович, Красоткина Ольга Вячеславовна, Татарчук Александр Игоревич'' <br/> Численные методы проверки обоснованности обобщенных линейных моделей зависимостей
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# 12:40 ''{{докладчик|Levdik Pavel}}, Mottl Vadim, Krasotkina Olga, Tatarchuk Alexander'' <br/> '''(RU)''' [[Media:03.Levdik_Mottl_IDP_2016_present.pdf‎|Numerical evidence evaluation for generalized linear dependence models]]
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===Section A. Анализ текстов. Анализ и распознавание речи===
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===Section B. Text Analysis. Speech Analysis and Recognition ===
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# ''{{докладчик|Романов Алексей Владимирович}}, Хританков Антон Сергеевич'' <br/> Отбор кандидатов при поиске заимствований в коллекции документов на иностранном языке
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# 12:00 ''{{докладчик|Romanov Alexey}}, Khritankov Anton'' <br/> '''(RU)''' [[Media:6.Romanov.pdf|Candidate Document Retrieval for Cross-Lingual Plagiarism Detection]]
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# ''{{докладчик|Чувилин Кирилл Владимирович}}'' <br/> Параметрический подход к построению синтаксических деревьев для частично формализованных текстовых документов
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# 12:20 ''{{докладчик|Chuvilin Kirill}}'' <br/> '''(RU)''' [[Media:7.Chuvilin.pdf|Parametric approach to the construction of syntax trees for partially formalized text documents]]
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# ''{{докладчик|Кальян Виктор Петрович}}, Кальян Анастасия Викторовна'' <br/> Выбор решений при распознавании эмоций по речи
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# 12:40 ''{{докладчик|Kalyan Viktor}}, Kalyan Anastasia'' <br/> '''(RU)''' [[Media:8.Kalyan.pdf|The choice of decisions at recognition of emotions on the speech]]
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# ''{{докладчик|Мирошниченко Любовь Александровна}}, Бахмутова Ирина Владимировна, Гусев Владимир Дмитриевич, Титкова Татьяна Николаевна'' <br/> Сопоставление и интеграция подходов к дешифровке древнерусских знаменных песнопений
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# 13:00 ''{{докладчик|Miroshnichenko Lubov}}, Bakhmutova Irina, Gusev Vladimir, Titkova Tatyana'' <br/> '''(RU)''' [[Media:9.Miroshnichenko.pdf|Comparison and integration of approaches to deciphering of ancient Russian hymnals]]
== Thursday, October 13 [15:00–16:40] ==
== Thursday, October 13 [15:00–16:40] ==
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=== Section A. Дискретная оптимизация и сложность вычислений ===
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=== Section A. Discrete Optimization and Computational Complexity ===
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# ''{{докладчик|Галашов Александр Евгеньевич}}, Кельманов Александр Васильевич'' <br/> Точный псевдополиномиальный алгоритм для задачи поиска семейства непересекающихся подмножеств
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# 15:00 ''{{докладчик|Galashov Alexandr}}, Kel'manov Alexander'' <br/> '''(RU)''' An exact pseudopolynomial-time algorithm for a problem of finding a family of disjoint subsets
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# ''{{докладчик|Гимади Эдуард Хайрутдинович}}'' <br/> Реализация асимптотически точного подхода к построению полиномиальных алгоритмов решения некоторых трудных задач маршрутизации, назначения, покрытия и кластеризации
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# 15:20 ''{{докладчик|Gimadi Edward}}'' <br/> '''(RU)''' [[Media:Gimadi_Implementation_of_the_asymptotically_optimal_approach_to_polynomial_time_solving_some_hard_discrete_optimization_problems.pdf‎|Implementation of the asymptotically optimal approach to polynomial time solving some hard discrete optimization problems of rooting, assigning, covering, and clustering]]
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# ''{{докладчик|Кельманов Александр Васильевич}}'' <br/> О некоторых задачах кластеризации: сложность и эффективные алгоритмы с оценками точности
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# 15:40 ''{{докладчик|Kel'manov Alexander}}'' <br/> '''(RU)''' [[Media: Kelmanov_On_some_clustering_problems_Complexity_and_efficient_algorithms_with_performance_garantees.pdf‎|On some clustering problems: Complexity and efficient algorithms with performance garantees]]
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# ''{{докладчик|Пяткин Артем Валерьевич}}, Еремеев Антон Валентинович, Кельманов Александр Васильевич'' <br/> О поиске подмножества векторов с минимальным нормированным квадратом длины суммы
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# 16:00 ''{{докладчик|Pyatkin Artem}}, Eremeev Anton, Kel'manov Alexander'' <br/> '''(RU)''' [[Media:Artem_Pyatkin_On_searching_for_a_vector_subset_with_the_minimum_normalized_squared_sum_length.pdf‎ |On searching for a vectors subset with the minimum normalized squared sum length]]
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# ''{{докладчик|Хандеев Владимир Ильич}}, Кельманов Александр Васильевич, Михайлова Людмила Викторовна, Хамидуллин Сергей Асгадуллович'' <br/> Приближенный алгоритм для задачи разбиения последовательности на кластеры
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# 16:20 ''{{докладчик|Khandeev Vladimir}}, Kel'manov Alexander, Mikhailova Ludmila, Khamidullin Sergey'' <br/> '''(RU)''' [[Media: Khandeev_Approximation_Algorithms_for_Problems_of_partitioning_a_Sequence_Into_Clusters.pdf‎|An approximation algorithm for one NP-hard problem of partitioning a sequence into clusters with restrictions on their cardinalities]]
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=== Section В. Анализ и распознавание изображений===
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=== Section В. Image Analysis and Recognition===
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# ''{{докладчик|Двоенко Сергей Данилович}}, Данг Нгок Хоанг Тхань'' <br/> Removing of combined noise in raster images
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# 15:00 ''{{докладчик|Dvoenko Sergey}}, Dang Thanh'' <br/> '''(EN)''' [[Media:1.DvoenkoIDP2016.pdf|Removing of combined noise in raster images]]
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# ''{{докладчик|Вишняков Борис Ваисович}}, Сидякин Сергей Владимирович, Рослов Николай Игоревич, Визильтер Юрий Валентинович'' <br/> Поиск отличий на последовательностях изображений в сложных сценах
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# 15:20 ''{{докладчик|Vishnyakov Boris}}, Sidyakin Sergey, Roslov Nikolay, Vizilter Yuri'' <br/> '''(RU)''' [[Media:2.VishnyakovIDP2016.pdf|Change detection in the sequences of images in complex scenes]]
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# ''{{докладчик|Горбацевич Владимир Сергеевич}}, Визильтер Юрий Валентинович, Воротников Андрей Валерьевич, Костромов Никита Алексеевич'' <br/> Идентификация лиц в реальном времени с использованием сверточной нейронной сети и хэширующего леса
+
# 15:40 ''{{докладчик|Gorbatsevich Vladimir}}, Vizilter Yuri, Vorotnikov Andrew, Kostromov Nikita'' <br/> '''(RU)''' [[Media:3.GorbatsevichIDP2016.pdf|Real-Time Face Identification via CNN and Boosted Hashing Forest]]
-
# ''{{докладчик|Мурашов Дмитрий Михайлович}}'' <br/> Применение теоретико-информационного подхода для сегментации изображений
+
# 16:00 ''{{докладчик|Murashov Dmitry}}'' <br/> '''(RU)''' [[Media:4.MurashovIDP2016.pdf|Application of information-theoretical performance criterion for image segmentation]]
-
# ''{{докладчик|Сёмов Алексей Александрович}}, Федотов Николай Гаврилович, Моисеев Александр Владимирович'' <br/> Новый метод интеллектуального анализа и распознавания трехмерных изображений: описание и примеры
+
# 16:20 ''{{докладчик|Fedotov Nikolay}}, Syemov Aleksey, Moiseev Alexandr'' <br/> '''(RU)''' New method for three-dimensional images intelligent analysis and recognition: Description and examples
== Thursday, October 13 [17:00–19:00] ==
== Thursday, October 13 [17:00–19:00] ==
-
=== Section A. Прикладные системы===
+
=== Section A. Applied Systems ===
-
# ''{{докладчик|Бекларян Левон Андреевич}}, Акопов Андраник Сумбатович, Бекларян Армен Левонович, Сагателян Армен Карленович'' <br/> Агентное моделирование региональной эколого-экономической системы. Тематическое исследование для Республики Армения
+
# 17:00 ''{{докладчик|Beklaryan Levon}}, Akopov Andranik, Beklaryan Armen, Saghatelyan Armen'' <br/> '''(RU)''' [[Media:1.BeklaryanIDP2016.pdf|Agent-based simulation modeling for regional ecological-economic systems. A case study of the Republic of Armenia]]
-
# ''{{докладчик|Волков Юрий Степанович}}, Богданов Владимир Васильевич, Мирошниченко Валерий Леонидович, Салиенко Александр Евгеньевич'' <br/> Расчёт параметров модельной гидротурбины по значению коэффициента быстроходности
+
# 17:20 ''{{докладчик|Volkov Yuriy}}, Bogdanov Vladimir, Miroshnichenko Valery, Salienko Alexander'' <br/> '''(RU)''' [[Media:2.VolkovIDP2016.pdf|Calculation of parameters of model hydraulic turbine by value of the specific speed]]
-
# ''{{докладчик|Ильясова Наталья Юрьевна}}, Куприянов Александр Викторович, Парингер Рустам Александрович'' <br/> Особенности использования технологий BIG DATA в задачах медицинской диагностики
+
# 17:40 ''{{докладчик|Ilyasova Nataly}}, Kupriyanov Alexandr, Paringer Rustam'' <br/> '''(RU)''' [[Media:3.IlyasovaIDP2016.pdf|Particular usage characteristics of BIG DATA in medical diagnostics tasks]]
-
# ''{{докладчик|Марухина Ольга Владимировна}}, Мокина Елена Евгеньевна, Шагарова Мария Дмитриевна, Дубинина Ирина Анатольевна'' <br/> Использование методов Data Mining при принятии медицинских диагностических решений
+
# 18:00 ''{{докладчик|Marukhina Olga}}, Mokina Elena, Shagarova Maria, Dubinina Irina'' <br/> '''(RU)''' [[Media:4.MarukhinaIDP2016.pdf|Applying data mining techniques when making medical diagnostic decisions]]
-
# ''{{докладчик|Морозов Алексей Александрович}}, Сушкова Ольга Сергеевна, Полупанов Александр Фёдорович'' <br/> О проблеме введения средств распределённого многоагентного программирования в логический язык со строгой типизацией
+
# 18:20 ''{{докладчик|Sychugov Alexey}}, Rudnev Dmitry'' <br/> '''(RU)''' [[Media:5.SychugovIDP2016.pdf|Analysis of the security of distributed information systems based on featureless pattern recognition]]
-
# ''{{докладчик|Сычугов Алексей Алексеевич}}, Руднев Дмитрий Олегович'' <br/> Анализ безопасности распределенных информационных систем на основе беспризнакового распознавания образов
+
# 18:40 ''{{докладчик|Morozov Alexei}}, Sushkova Olga, Polupanov Alexander'' <br/> '''(RU)''' [[Media:6.MorozovIDP2016.pdf|Incorporation of Distributed Multi-Agent Programming Means in a Strongly Typed Logic Language]]
-
=== Section В. Анализ сигналов мозга===
+
=== Section В. Brain Signal Analysis ===
-
# ''{{докладчик|Анциперов Вячеслав Евгеньевич}}, Обухов Юрий Владимирович'' <br/> Анализ гиперсинхронизации структур головного мозга во время эпилептических разрядов на основе конических представлений сигнала электроэнцефалограммы
+
# 17:00 ''{{докладчик|Antsiperov Viacheslav}}, Obukhov Yury'' <br/> '''(RU)''' [[Media: Antsiperov_Analysis_of_brain_structures_hypersynchronization_during_the_epileptic_discharges_on_the_basis_of_conical_kernel_representations_of_electroencephalogram_signal.pdf‎ |Analysis of brain structures hypersynchronization during the epileptic discharges on the basis of conical kernel representations of electroencephalogram signal]]
-
# ''{{докладчик|Буторина Анна Валерьевна}}, Литвак Владимир'' <br/> Анализ магнитоэнцефалографических данных с применением методов спектрального анализа и теории случайных полей
+
# 17:20 ''{{докладчик|Butorina Anna}}, Litvak Vladimir'' <br/> '''(RU)''' [[Media:Butorina_Use_of_spectral_analysis_and_Random_Field_Theory_for_MEG_data_analysis.pdf‎| Use of spectral analysis and Random Field Theory for MEG data analysis]]
-
# ''{{докладчик|Кершнер Иван Андреевич}}, Обухов Юрий Владимирович, Комольцев Илья Геральдович'' <br/> Алгоритм детектирования эпилептических разрядов и сонных веретен у крыс в раннем посттравматическом периоде
+
# 17:40 ''{{докладчик|Kershner Ivan}}, Obukhov Yury, Komoltsev Ilya'' <br/> '''(RU)''' [[Media:Kershner_DETECTION_ALGORITHM_OF_EPILEPTIC_DISCHARGES_AND_SLEEP_SPINDLES_IN_RATS_IN_EARLY_POSTTRAUMATIC_PERIOD.pdf‎ |Detection algorithm of epileptic discharges and sleep spindles in rats in early posttraumatic period]]
-
# ''{{докладчик|Малюта Инна Александровна}}, Обухов Константин Юрьевич, Обухов Юрий Владимирович'' <br/> Об одном подходе к классификации сонных веретен и эпилептических разрядов в ЭЭГ после черепно-мозговых травм
+
# 18:00 ''{{докладчик|Maliuta Inna}}, Obukhov Konstantin, Obukhov Yury'' <br/> '''(RU)''' [[Media:Maliuta_Classification_of_Sleep_Spindles_and_Epilepsy_Seizures_in_EEG_after_Traumatic_Brain_Injury.pdf‎ |The classification method of sleep spindels and epilepsy seizures in EEG after traumatic brain injury]]
-
# ''{{докладчик|Манило Людмила Алексеевна}}, Немирко Анатолий Павлович'' <br/> Множественный дискриминантный анализ для распознавания биосигналов в частотной области
+
# 18:20 ''{{докладчик|Manilo Ludmila}}, Nemirko Anatolii'' <br/> '''(RU)''' [[Media:Manilo.pdf‎|Multiple discriminant analysis for recognition of biosignals in frequency domain]]
-
# ''{{докладчик|Обухов Константин Юрьевич}}, Малюта Инна Александровна, Обухов Юрий Владимирович'' <br/> Метрическая классификация раннего паркинсонизма в пространстве электрофизиологических признаков
+
# 18:40 ''{{докладчик|Obukhov Konstantin}}, Maliuta Inna, Obukhov Yury'' <br/> '''(RU)''' [[Media: Obukhov_Konstantin_Classification_of_early_stage_Parkinson_Disease_based_on_EEG_feature_set.pdf‎ |Classification of early stage Parkinson's disease based on electroencephalography feature set]]
-
# ''{{докладчик|Сушкова Ольга Сергеевна}}, Морозов Алексей Александрович, Габова Александра Васильевна, Бугаёв Александр Степанович'' <br/> Статистически значимое уменьшение количества бета-всплесков у пациентов на ранней стадии болезни Паркинсона
+
== Friday, October 14 [9:30–11:30] ==
== Friday, October 14 [9:30–11:30] ==
-
=== Section A. Теория и методы машинного обучения ===
+
=== Section A. Machine Learning ===
-
# ''{{докладчик|Ланге Михаил Михайлович}}'' <br/> Информационный критерий для сравнения классификаторов на ансамбле источников
+
# 9:30 ''{{докладчик|Lange Mikhail}}'' <br/> '''(RU)''' [[Media:01.Lange_IDP_2016_presentation_english.pdf|Information criterion for comparison of metric classifiers in ensemble of sources]]
-
# ''{{докладчик|Манило Людмила Алексеевна}}, Немирко Анатолий Павлович'' <br/> Сокращение размерности признакового пространства на основе критерия разделимости классов
+
# 9:50 ''{{докладчик|Manilo Ludmila}}, Nemirko Anatolii'' <br/> '''(RU)''' Reduction of feature space dimension based on separability criterion
-
# ''{{докладчик|Мотренко Анастасия Петровна}}'' <br/> Sample size estimation in classification problems
+
# 10:10 ''{{докладчик|Motrenko Anastasia}}'' <br/> '''(EN)''' [[Media:02.MotrenkoIDP2016.pdf|Sample size estimation in classification problems]]
-
# ''{{докладчик|Пушняков Алексей Сергеевич}}'' <br/> О взаимосвязи мер кластеров и распределений расстояний в компактных метрических пространствах
+
# 10:30 ''{{докладчик|Pushnyakov Alexey}}'' <br/> '''(RU)''' [[Media:PushnyakovIDP2016.pdf|Interdependence of clusters measures and distance distribution in compact metric spaces]]
-
# ''{{докладчик|Янковская Анна Ефимовна}}, Дементьев Юрий Николаевич, Ямшанов Артем Вячеславович, Ляпунов Данил Юрьевич'' <br/> Прогнозирование результатов обучения студентов с использованием смешанных диагностических тестов и 2-симплекс призмы
+
# 10:50 ''{{докладчик|Yankovskaya Anna}}, Dementyev Yury, Yamshanov Artem, Lyapunov Danil'' <br/> '''(RU)''' [[Media:05.Yankovskaya_IDP_2016_presentation.pdf|Prediction of Students' Learning Results with Usage of Mixed Diagnostic Tests and 2-simplex Prism]]
-
=== Section В. Анализ аэрокосмических изображений ===
+
=== Section В. Airspace image analysis ===
-
# ''{{докладчик|Игнатьев Владимир Юрьевич}}, Матвеев Иван Алекссевич, Мурынин Александр Борисович, Трекин Алексей Николаевич'' <br/> Image quality evaluation for resampling methods based on spatial spectrum extrapolation
+
# 9:30 ''{{докладчик|Ignatiev Vladimir}}, Matveev Ivan, Murynin Alexander, Trekin Alexey'' <br/> '''(EN)''' [[Media:IgnatievIDP2016.pdf|Image quality evaluation for resampling methods based on spatial spectrum extrapolation]]
-
# ''{{докладчик|Игнатьев Владимир Юрьевич}}, Мурынин Александр Борисович, Матвеев Иван Алексеевич, Трекин Алексей Николаевич'' <br/> Объектно-ориентированная классификация в задаче распознавания подстилающей поверхности в арктических экосистемах
+
# 9:50 ''{{докладчик|Murynin Alexander}}, Bondur Valery, Gordo Kristina'' <br/> '''(RU)''' [[Media:BondurIDP2016.pdf|Satellite imagery processing methods for the estimation of trace gas and aerosol emissions due to wildfires]]
-
# ''{{докладчик|Бондур Валерий Григорьевич}}, Мурынин Александр Борисович, Гордо Кристина Араратовна'' <br/> Методы обработки космических изображений для оценки эмиссий малых газовых компонент и аэрозолей при природных пожарах
+
# 10:10 ''{{докладчик| Ignatiev Vladimir}}, Murynin Alexander, Matveev Ivan, Trekin Alexey'' <br/> '''(RU)''' [[Media:TrekinIDP2016.pdf|Object-oriented classification for recognition of earth surface in Arctic ecosystems]]
-
# ''{{докладчик|Мурынин Александр Борисович}}, Бондур Валерий Григорьевич, Игнатьев Владимир Юрьевич'' <br/> Оптимальный выбор параметров для восстановления спектров морского волнения по аэрокосмическим изображениям
+
# 10:30 ''{{докладчик|Murynin Alexander}}, Bondur Valery, Ignatiev Vladimir'' <br/> '''(RU)''' [[Media:MuryninIDP2016.pdf|Parameters optimization in the problem of sea-wave spectra recovery by airspace images]]
== Friday, October 14 [12:00–13:20] ==
== Friday, October 14 [12:00–13:20] ==
-
=== Section A. Теория и методы машинного обучения ===
+
=== Section A. Machine Learning ===
-
# ''{{докладчик|Адуенко Александр Александрович}}, Стрижов Вадим Викторович'' <br/> Features space analysis for multimodel selection
+
# 12:00 ''{{докладчик|Aduenko Aleksandr}}, Strijov Vadim'' <br/> '''(EN)''' [[Media:Aduenko2016IDP.pdf|Feature space analysis for multimodel selection]]
-
# ''{{докладчик|Ишкина Шаура Хабировна}}'' <br/> Аппроксимация комбинаторных оценок переобучения пороговых классификаторов
+
# 12:20 ''{{докладчик|Ishkina Shaura}}'' <br/> '''(RU)''' [[Media:02.Ishkina2016.pdf|Approximation of combinatorial generalization bounds for threshold classifiers]]
-
# ''{{докладчик|Остапец Андрей Александрович}}'' <br/> Решающие правила для ансамбля из цепей вероятностных классификаторов при решении задач классификации с пересекающимися классами
+
# 12:40 ''{{докладчик|Ostapets Andrey}}'' <br/> '''(RU)''' [[Media:OstapetsIDP2016.pdf|Decision rules for ensembled probabilistic classifier chain for multi-label classification]]
 +
# 13:00 ''{{докладчик|Efimova Valeria}}, Filchenkov Andrey, Shalyto Anatoly'' <br/> '''(EN)''' [[Media:Efimova-Filchenkov-Shalyto.pdf|Reinforcement-based Simultaneous Classification Model and its Hyperparameters Selection]]
-
{{del|# ''{{докладчик|Журавлёв Вадим Игоревич}}, Генрихов Игорь Евгеньевич, Дюкова Елена Всеволодовна'' <br/> О полных регрессионных решающих деревьях}}
+
=== Section В. Bioinformatics===
-
 
+
# 12:00 ''{{докладчик|Kulikova Liudmila}}, Tikhonov Dmitrii, Efimov Aleksandr'' <br/> '''(RU)''' [[Media:KulikovaIDP2016.pdf|Statistical analysis of the internal distances of helical pairs in protein molecules]]
-
=== Section В. Биоинформатика===
+
# 12:20 ''{{докладчик|Nazipova Nafisa}}, Chaley Mariya, Kutyrkin Vladimir, Tulbasheva Gayane, Teplukhina Elena'' <br/> '''(RU)''' [[Media:NazipovaIDP2016.pdf|Automated technology for revealing latent periodicities in DNA sequences]]
-
# ''{{докладчик|Куликова Людмила Ивановна}}, Тихонов Дмитрий Анатольевич, Ефимов Александр Васильевич'' <br/> Статистический анализ внутренних расстояний спиральных пар в белковых молекулах
+
# 12:40 ''{{докладчик|Sulimova Valentina}}, Seredin Oleg, Mottl Vadim'' <br/> '''(EN)''' [[Media:SulimovaIDP2016.pdf|Construction metrics for biomolecular sequences]]
-
# ''{{докладчик|Назипова Нафиса Наиловна}}, Чалей Мария Борисовна, Кутыркин Владимир Андреевич, Тюльбашева Гаянэ Эдуардовна, Теплухина Елена Ивановна'' <br/> Автоматизированная технология обнаружения участков латентной периодичности в последовательностях ДНК
+
-
# ''{{докладчик|Сулимова Валентина Вячеславовна}}, Середин Олег Сергеевич, Моттль Вадим Вячеславович'' <br/> Construction metrics for biomolecular sequences
+
== Friday, October 14 [15:00–16:40] ==
== Friday, October 14 [15:00–16:40] ==
-
=== Section A. Морфология изображений===
+
=== Section A. Morphological Image Processing ===
-
# ''{{докладчик|Грачева Инесса Александровна}}, Копылов Андрей Валериевич, Середин Олег Сергеевич, Кушнир Олеся Александровна, Ларин Александр Олегович'' <br/> Background-Invariant Robust Hand Detection Using One Class Color Segmentation and Skeleton Description
+
# 15:00 ''{{докладчик|Lomov Nikita}}, Sidyakin Sergey, Vizilter Yury'' <br/> '''(RU)''' [[Media:LomovIDP2016.pdf|Classification of two-dimensional figures using skeleton-geodesic histograms of thicknesses and distances]]
-
# ''{{докладчик|Лебедев Максим Алексеевич}}, Костромов Никита Алексеевич, Рубис Алексей Юрьевич, Комаров Денис Валерьевич, Выголов Олег Вячеславович, Визильтер Юрий Валентинович'' <br/> Морфологическая оценка сходства изображений с использованием глубоких конволюционных нейронных сетей
+
# 15:20 ''{{докладчик|Mestetskiy Leonid}}, Lomov Nikita'' <br/> '''(RU)''' [[Media:MestetskiyIDP2016.pdf|Recognition of digital fonts from images based on the disk cover]]
-
# ''{{докладчик|Ломов Никита Александрович}}, Сидякин Сергей Владимирович, Визильтер Юрий Валентинович'' <br/> Классификация двумерных фигур с использованием скелетно-геодезических гистограмм толщин-расстояний
+
# 15:40 ''{{докладчик|Gracheva Inessa}}, Kopylov Andrey, Seredin Oleg, Kushnir Olesia, Larin Alexander'' <br/> '''(EN)''' [[Media:GrachevaIDP2016.pdf|Background-Invariant Robust Hand Detection Using One Class Color Segmentation and Skeleton Description]]
-
# ''{{докладчик|Местецкий Леонид Моисеевич}}, Ломов Никита Александрович'' <br/> Распознавание цифровых шрифтов по изображениям на основе дискового покрытия
+
# 16:00 ''{{докладчик|Lebedev Maksim}}, Kostromov Nikita, Rubis Aleksey, Komarov Denis, Vygolov Oleg, Vizilter Yuri'' <br/> '''(RU)''' [[Media:LebedevIDP2016.pdf|Morphological image matching using deep convolutional neural networks]]
-
# ''{{докладчик|Федотова Софья Антоновна}}, Середин Олег Сергеевич, Кушнир Олеся Александровна'' <br/> Алгоритмы уточнения оси зеркальной симметрии, найденной методом сравнения подцепочек скелетных примитивов
+
# 16:20 ''{{докладчик|Fedotova Sofia}}, Seredin Oleg, Kushnir Olesia'' <br/> '''(RU)''' [[Media:FedotovaIDP2016.pdf|The Algorithms of Adjustment of Reflection Symmetry Axis Found by the Skeleton Primitive Sub-Chains Comparison Method]]
 +
 
 +
=== Section В. Signal and Time Series Analysis ===
 +
# 15:00 ''{{докладчик|Neychev Radoslav}}, Motrenko Anastasia, Isachenko Roman, Strijov Vadim'' <br/> '''(EN)''' [[Media:NeychevIDP11.pdf|Multimodel forecasting multiscale time series in Internet of Things]]
 +
# 15:20 ''{{докладчик|Starozhilets Vsevolod}}, Chehovich Yuriy'' <br/> '''(RU)''' [[Media:StarozhiletsIDP11.pdf|Aggregation of data from different sources in traffic flow tasks]]
 +
# 15:40 ''{{докладчик|Zharkikh Aleksandr}}, Gorbunov Aleksei'' <br/> '''(RU)''' [[Media:ZharkihIDP11.pdf|Presentation of software tool for embedding and extracting hidden messages in audio files]]
-
=== Section В. Анализ сигналов и временных рядов===
+
== Friday, October 14 [17:00–18:30] ==
-
# ''{{докладчик|Нейчев Радослав Георгиев}}, Мотренко Анастасия Петровна, Исаченко Роман Владимирович, Стрижов Вадим Викторович'' <br/> Multimodel forecasting multiscale time series in Internet of Things
+
# 17:00 ''{{докладчик|Ustinin Mikhail}}, Rykunov Stanislav, Boyko Anna, Sychev Vyacheslav'' <br/> '''(EN)''' [[Media:UstininIDP2016.pdf|Frequency-pattern data analysis to estimate the functional structure of the human body from external magnetic field]]
-
# ''{{докладчик|Стрижов Вадим Викторович}}, Мотренко Анастасия Петровна, Нейчев Радослав Георгиев, Исаченко Роман Владимирович, Попова Мария Сергеевна, Громов Андрей Николаевич, Инякин Андрей Сергеевич'' <br/> Feature generation for multiscale time series forecasting
+
# 17:30 ''{{докладчик|Gornov Alexander}}, Zarodnyuk Tatiana, Anikin Anton, Finkelstein Evgeniya'' <br/> '''(RU)''' [[Media:GornovIDP2016.pdf|Algorithms and computational technology for extremum search in optimal control problems]]
-
# ''{{докладчик|Старожилец Всеволод Михайлович}}, Чехович Юрий Викторович'' <br/> Комплексирование данных из разнородных источников в задачах моделирования транспортных потоков
+
# 18:00 ''{{докладчик|Rudakov Konstantin}}, Torshin Ivan'' <br/> '''(RU)''' On metric spaces arising during formalization of problems of recognition and classification: Properties of compactness
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# ''{{докладчик|Жарких Александр Александрович}}, Горбунов Алексей Владимирович'' <br/> Презентация программного средства для встраивания и извлечения скрытых сообщений в аудиофайлах '''на 13-е'''
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== Friday, October 14 [17:00–19:00] ==
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<!--# ''{{докладчик|Vizilter Yuri}}-->
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# ''{{докладчик|Визильтер Юрий Валентинович}}
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# ''{{докладчик|Горнов Александр Юрьевич}}, Зароднюк Татьяна Сергеевна, Аникин Антон Срегеевич, Финкельштейн Евгения Александровна'' <br/> Алгоритмы и вычислительные технологии поиска экстремума в задачах оптимального управления
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# ''{{докладчик|Рудаков Константин Владимирович}}, Торшин Иван Юрьевич'' <br/> О метрических пространствах, возникающих при формализации задач распознавания и классификации: свойства компактности
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Текущая версия

Основная статья: Интеллектуализация обработки информации (конференция)

Содержание

The 11-th International Conference on Intelligent Data Processing: Theory and Applications is held in Barcelona, Spain on October 10-14, 2016.

Additional information is available at mmro.ru. The russian version of the program is available at program.ru

This is the preview version of the program and it may be changed!

Monday, October 10 [9:30–11:30]

  1. 09:30 Svetlana Velikanova, Konstantin Vorontsov, Xavier Mayo, Jordi Puignero Opening Remarks
  2. 10:00 Angie Ma (ASI Data Science)
    Practical machine learning for businesses
  3. 10:30 Sina Sohangir (Snapchat)
    Big Data Platform and Analytics at Snapchat, a next generation social network in the making
  4. 11:00 Jordi Puiggali (Scytl)
    Citizen privacy and secrecy challenges in government Open Data

Monday, October 10 [12:00–13:30]

  1. 12:00 Amir Youssefi (PayPal)
    Big Data: past experiences, current trends and future possibilities
  2. 12:30 Victor Lempitsky (Skolkovo Institute of Science and Technology)
    Image Synthesis with Deep Neural Networks
  3. 13:00 Leonid Zhukov (Boston Consulting Group)
    Machine Intelligence in Industry 4.0

Monday, October 10 [15:00–16:30]

  1. 15:00 Pier Paolo Rossi (Banc Sabadell)
    Case of Big Data in Banc Sabadell, resulting in €10 Million of incremental incomes
  2. 15:30 Michael Levin (Yandex Data Factory)
    Unlocking the Value of Machine Learning for Business
  3. 16:00 Davide Consiglio (Boston Consulting Group)
    Latest advanced analytics trends across Europe

Monday, October 10 [17:00–18:30]

  1. 17:00 Jane Zavalishina (Yandex Data Factory), Davide Consiglio (BCG), Andrey Kutovoy (VTB), Pier Paolo Rossi (Banc Sabadell)
    Machine Learning for Banks
  2. 18:00 Kamran Elahian (500 Startups / Berkeley Haas BIT-Amena)
    Algorithmic thinking vs Out of the box thinking

Tuesday, October 11 [9:30–11:30]

  1. 09:30 Vadim Strijov (MIPT)
    Model selection for time series forecasting
  2. 10:00 Paolo Rosso (Universitat Politècnica de València)
    Mining Intelligent Information in Twitter: Detecting Irony and Sarcasm
  3. 10:30 Boris Polyak (Institute for Control Science of RAS)
    Robust Principal Component Analysis
  4. 11:00 Alessandra Staglianò (ASI Data Science)
    Detecting Anomalies in the Real World

Tuesday, October 11 [12:00–13:30]

Section A

  1. 12:00 Sima Yazdani (Cisco)
    Benefiting Local Talent Markets using Knowledge Networks & Cognitive Surplus
  2. 12:30 Yannis Ghazouani (Dataiku)
    Labelling images using transfer learning. An application to recommender system
  3. 13:00 Flavio Soarez (Soares & Vacite)
    Blockchain on intellectual property: Legal issues

Section В

  1. 12:00 Paolo Rosso
    (EN) Mining demographic information in social media: age, gender, and personality
  2. 12:20 Ignatov Dmitry, Gizdatullin Danil, Mitrofanova Ekaterina, Muratova Anna, Baixeries Jaume
    (EN) Pattern-based classification of demographic sequences
  3. 12:40 Dvoenko Sergey, Pshenichny Denis
    (EN) Feature Grouping Based on the Optimal Sequence of Correlation Matrix Minors
  4. 13:00 Vladimirova Maria, Strijov Vadim
    (EN) Bagging of Neural Networks in Multitask Classification of Biological Acivity for Nuclear Receptors

Tuesday, October 11 [15:00–16:40]

Section A

  1. 15:00 Alexander Isakov (Pallantius)
    Data Compass: Finding Your Way with Analytics
  2. 15:30 Yegor Budnikov (ABBYY)
    ABBYY COMPRENO: Technologies of Semantic Analysis and Information Extraction
  3. 16:00 Konstantin Mertsalov (Rational Enterprise)
    Managing Unstructured Data in the Enterprise

Section В. Biometrics

  1. 15:00 Efimov Yuriy, Matveev Ivan
    (EN) Iris image segmentation by paired gradient method with pupil border refinement
  2. 15:20 Matveev Ivan, Talipov Kamil
    (EN) Eyelids and eyelash detection based on clusterization of vector of local features
  3. 15:40 Odinokikh Gleb, Gnatyuk Vitaly, Korobkin Mikhail, Eremeev Vladimir
    (EN) Eyelid Position Detection Method for Mobile Iris Recognition
  4. 16:00 Solomatin Ivan, Matveev Ivan, Novik Vladimir
    (EN) Detecting visible areas of iris by qualifier of textures with support set
  5. 16:20 Chigrinskiy Viktor, Efimov Yuriy, Matveev Ivan
    (EN) Fast algorithm for determining pupil and iris boundaries

Tuesday, October 11 [17:00–18:40]

Section A

  1. 17:00 Pouya Tafti (Allianz)
    Big Business meets Big Data, a personal perspective
  2. 18:00 Christian Palau Sanz (Red Arbor)
    Challenges and new opportunities that Big Data is giving to the industry of the job classifieds

Section В. Time Series and Biomedical Signal Analysis

  1. 17:20 Sushkova Olga, Morozov Alexei, Gabova Alexandra, Bugaev Alexandr
    (EN) A statistically significant decrease of the quantity of beta wave packets in de novo Parkinson's disease
  2. 17:40 Florinsky Igor, Pankratov Anton
    (EN) On the role of the Fejér summation in terrain modeling
  3. 18:00 Rykunov Stanislav, Boyko Anna, Sychev Vyacheslav, Ustinin Mikhail, Rykunova Elena
    (EN) Partial spectroscopy of the human brain spontaneous activity
  4. 18:20 Goncharov Alexey, Strijov Vadim
    (EN) Warping path for continuous time series alignment

Thursday, October 13 [9:30–11:30]

Section A. Linear Predictive Models

  1. 9:30 Mottl Vadim, Seredin Oleg
    (RU) A generalized linear approach to estimation of dependences from empirical data
  2. 9:50 Seredin Oleg, Mottl Vadim
    (RU) Methods of embedding real-world entities into a linear space for implementing the generalized linear approach to dependence estimation
  3. 10:10 Turkov Pavel, Krasotkina Olga, Mottl Vadim
    (RU) Estimation of arbitrary nonstationary dependences in a linear observation space
  4. 10:30 Krasotkina Olga, Vadim Mottl, Elena Chernousova
    (RU) Model volatility verification in problems of non-stationary dependence estimation
  5. 10:50 Malenichev Anton, Krasotkina Olga, Mottl Vadim
    (RU) Quick methods of online learning for generalized linear models of arbitrary dependences

Section В. Text Analysis and Information Retrieval

  1. 9:30 Vorontsov Konstantin, Apishev Murat, Koltsov Sergei, Koltsova Olessia, Nikolenko Sergey
    (RU) Additively Regularized Topic Model for Searching Ethnical Discourse in Social Media
  2. 9:50 Chirkova Nadezhda, Vorontsov Konstantin
    (EN) Additive Regularization for Hierarchical Multimodal Topic Modeling
  3. 10:10 Filchenkov Andrey, Smelik Nikolay
    (EN) Multimodal topic model for texts and images utilizing their embeddings
  4. 10:30 Ianina Anastasia, Vorontsov Konstantin
    (RU) Multimodal topic modeling for exploratory search in collective blog
  5. 10:50 Mikhaylov Dmitry, Kozlov Aleksandr, Emelyanov Gennady
    (RU) Coupling strength of words and estimation of text relevance to unit of knowledge in open tests

Thursday, October 13 [12:00–13:20]

Section A. Linear Predictive Models

  1. 12:00 Nedel'ko Victor
    (RU) Investigation of effectiveness of several linear classifiers
  2. 12:20 Mottl Vadim, Levdik Pavel, Krasotkina Olga
    (RU) ‎Evidence evaluation for trainable models of arbitrary dependences: A generalized linear approach
  3. 12:40 Levdik Pavel, Mottl Vadim, Krasotkina Olga, Tatarchuk Alexander
    (RU) Numerical evidence evaluation for generalized linear dependence models

Section B. Text Analysis. Speech Analysis and Recognition

  1. 12:00 Romanov Alexey, Khritankov Anton
    (RU) Candidate Document Retrieval for Cross-Lingual Plagiarism Detection
  2. 12:20 Chuvilin Kirill
    (RU) Parametric approach to the construction of syntax trees for partially formalized text documents
  3. 12:40 Kalyan Viktor, Kalyan Anastasia
    (RU) The choice of decisions at recognition of emotions on the speech
  4. 13:00 Miroshnichenko Lubov, Bakhmutova Irina, Gusev Vladimir, Titkova Tatyana
    (RU) Comparison and integration of approaches to deciphering of ancient Russian hymnals

Thursday, October 13 [15:00–16:40]

Section A. Discrete Optimization and Computational Complexity

  1. 15:00 Galashov Alexandr, Kel'manov Alexander
    (RU) An exact pseudopolynomial-time algorithm for a problem of finding a family of disjoint subsets
  2. 15:20 Gimadi Edward
    (RU) Implementation of the asymptotically optimal approach to polynomial time solving some hard discrete optimization problems of rooting, assigning, covering, and clustering
  3. 15:40 Kel'manov Alexander
    (RU) On some clustering problems: Complexity and efficient algorithms with performance garantees
  4. 16:00 Pyatkin Artem, Eremeev Anton, Kel'manov Alexander
    (RU) On searching for a vectors subset with the minimum normalized squared sum length
  5. 16:20 Khandeev Vladimir, Kel'manov Alexander, Mikhailova Ludmila, Khamidullin Sergey
    (RU) An approximation algorithm for one NP-hard problem of partitioning a sequence into clusters with restrictions on their cardinalities

Section В. Image Analysis and Recognition

  1. 15:00 Dvoenko Sergey, Dang Thanh
    (EN) Removing of combined noise in raster images
  2. 15:20 Vishnyakov Boris, Sidyakin Sergey, Roslov Nikolay, Vizilter Yuri
    (RU) Change detection in the sequences of images in complex scenes
  3. 15:40 Gorbatsevich Vladimir, Vizilter Yuri, Vorotnikov Andrew, Kostromov Nikita
    (RU) Real-Time Face Identification via CNN and Boosted Hashing Forest
  4. 16:00 Murashov Dmitry
    (RU) Application of information-theoretical performance criterion for image segmentation
  5. 16:20 Fedotov Nikolay, Syemov Aleksey, Moiseev Alexandr
    (RU) New method for three-dimensional images intelligent analysis and recognition: Description and examples

Thursday, October 13 [17:00–19:00]

Section A. Applied Systems

  1. 17:00 Beklaryan Levon, Akopov Andranik, Beklaryan Armen, Saghatelyan Armen
    (RU) Agent-based simulation modeling for regional ecological-economic systems. A case study of the Republic of Armenia
  2. 17:20 Volkov Yuriy, Bogdanov Vladimir, Miroshnichenko Valery, Salienko Alexander
    (RU) Calculation of parameters of model hydraulic turbine by value of the specific speed
  3. 17:40 Ilyasova Nataly, Kupriyanov Alexandr, Paringer Rustam
    (RU) Particular usage characteristics of BIG DATA in medical diagnostics tasks
  4. 18:00 Marukhina Olga, Mokina Elena, Shagarova Maria, Dubinina Irina
    (RU) Applying data mining techniques when making medical diagnostic decisions
  5. 18:20 Sychugov Alexey, Rudnev Dmitry
    (RU) Analysis of the security of distributed information systems based on featureless pattern recognition
  6. 18:40 Morozov Alexei, Sushkova Olga, Polupanov Alexander
    (RU) Incorporation of Distributed Multi-Agent Programming Means in a Strongly Typed Logic Language

Section В. Brain Signal Analysis

  1. 17:00 Antsiperov Viacheslav, Obukhov Yury
    (RU) Analysis of brain structures hypersynchronization during the epileptic discharges on the basis of conical kernel representations of electroencephalogram signal
  2. 17:20 Butorina Anna, Litvak Vladimir
    (RU) Use of spectral analysis and Random Field Theory for MEG data analysis
  3. 17:40 Kershner Ivan, Obukhov Yury, Komoltsev Ilya
    (RU) Detection algorithm of epileptic discharges and sleep spindles in rats in early posttraumatic period
  4. 18:00 Maliuta Inna, Obukhov Konstantin, Obukhov Yury
    (RU) The classification method of sleep spindels and epilepsy seizures in EEG after traumatic brain injury
  5. 18:20 Manilo Ludmila, Nemirko Anatolii
    (RU) Multiple discriminant analysis for recognition of biosignals in frequency domain
  6. 18:40 Obukhov Konstantin, Maliuta Inna, Obukhov Yury
    (RU) Classification of early stage Parkinson's disease based on electroencephalography feature set

Friday, October 14 [9:30–11:30]

Section A. Machine Learning

  1. 9:30 Lange Mikhail
    (RU) Information criterion for comparison of metric classifiers in ensemble of sources
  2. 9:50 Manilo Ludmila, Nemirko Anatolii
    (RU) Reduction of feature space dimension based on separability criterion
  3. 10:10 Motrenko Anastasia
    (EN) Sample size estimation in classification problems
  4. 10:30 Pushnyakov Alexey
    (RU) Interdependence of clusters measures and distance distribution in compact metric spaces
  5. 10:50 Yankovskaya Anna, Dementyev Yury, Yamshanov Artem, Lyapunov Danil
    (RU) Prediction of Students' Learning Results with Usage of Mixed Diagnostic Tests and 2-simplex Prism

Section В. Airspace image analysis

  1. 9:30 Ignatiev Vladimir, Matveev Ivan, Murynin Alexander, Trekin Alexey
    (EN) Image quality evaluation for resampling methods based on spatial spectrum extrapolation
  2. 9:50 Murynin Alexander, Bondur Valery, Gordo Kristina
    (RU) Satellite imagery processing methods for the estimation of trace gas and aerosol emissions due to wildfires
  3. 10:10 Ignatiev Vladimir, Murynin Alexander, Matveev Ivan, Trekin Alexey
    (RU) Object-oriented classification for recognition of earth surface in Arctic ecosystems
  4. 10:30 Murynin Alexander, Bondur Valery, Ignatiev Vladimir
    (RU) Parameters optimization in the problem of sea-wave spectra recovery by airspace images

Friday, October 14 [12:00–13:20]

Section A. Machine Learning

  1. 12:00 Aduenko Aleksandr, Strijov Vadim
    (EN) Feature space analysis for multimodel selection
  2. 12:20 Ishkina Shaura
    (RU) Approximation of combinatorial generalization bounds for threshold classifiers
  3. 12:40 Ostapets Andrey
    (RU) Decision rules for ensembled probabilistic classifier chain for multi-label classification
  4. 13:00 Efimova Valeria, Filchenkov Andrey, Shalyto Anatoly
    (EN) Reinforcement-based Simultaneous Classification Model and its Hyperparameters Selection

Section В. Bioinformatics

  1. 12:00 Kulikova Liudmila, Tikhonov Dmitrii, Efimov Aleksandr
    (RU) Statistical analysis of the internal distances of helical pairs in protein molecules
  2. 12:20 Nazipova Nafisa, Chaley Mariya, Kutyrkin Vladimir, Tulbasheva Gayane, Teplukhina Elena
    (RU) Automated technology for revealing latent periodicities in DNA sequences
  3. 12:40 Sulimova Valentina, Seredin Oleg, Mottl Vadim
    (EN) Construction metrics for biomolecular sequences

Friday, October 14 [15:00–16:40]

Section A. Morphological Image Processing

  1. 15:00 Lomov Nikita, Sidyakin Sergey, Vizilter Yury
    (RU) Classification of two-dimensional figures using skeleton-geodesic histograms of thicknesses and distances
  2. 15:20 Mestetskiy Leonid, Lomov Nikita
    (RU) Recognition of digital fonts from images based on the disk cover
  3. 15:40 Gracheva Inessa, Kopylov Andrey, Seredin Oleg, Kushnir Olesia, Larin Alexander
    (EN) Background-Invariant Robust Hand Detection Using One Class Color Segmentation and Skeleton Description
  4. 16:00 Lebedev Maksim, Kostromov Nikita, Rubis Aleksey, Komarov Denis, Vygolov Oleg, Vizilter Yuri
    (RU) Morphological image matching using deep convolutional neural networks
  5. 16:20 Fedotova Sofia, Seredin Oleg, Kushnir Olesia
    (RU) The Algorithms of Adjustment of Reflection Symmetry Axis Found by the Skeleton Primitive Sub-Chains Comparison Method

Section В. Signal and Time Series Analysis

  1. 15:00 Neychev Radoslav, Motrenko Anastasia, Isachenko Roman, Strijov Vadim
    (EN) Multimodel forecasting multiscale time series in Internet of Things
  2. 15:20 Starozhilets Vsevolod, Chehovich Yuriy
    (RU) Aggregation of data from different sources in traffic flow tasks
  3. 15:40 Zharkikh Aleksandr, Gorbunov Aleksei
    (RU) Presentation of software tool for embedding and extracting hidden messages in audio files

Friday, October 14 [17:00–18:30]

  1. 17:00 Ustinin Mikhail, Rykunov Stanislav, Boyko Anna, Sychev Vyacheslav
    (EN) Frequency-pattern data analysis to estimate the functional structure of the human body from external magnetic field
  2. 17:30 Gornov Alexander, Zarodnyuk Tatiana, Anikin Anton, Finkelstein Evgeniya
    (RU) Algorithms and computational technology for extremum search in optimal control problems
  3. 18:00 Rudakov Konstantin, Torshin Ivan
    (RU) On metric spaces arising during formalization of problems of recognition and classification: Properties of compactness


Источник — «http://machinelearning.ru/wiki/index.php?title=Intelligent_Data_Processing:_Theory_and_Applications/2016»
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