Intelligent Data Processing: Theory and Applications/2016
Материал из MachineLearning.
(Различия между версиями)
(→Section В) |
(→Section В. Signal and Time Series Analysis) |
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== Monday, October 10 [9:30–11:30] == | == Monday, October 10 [9:30–11:30] == | ||
| - | # 09:30 ''{{докладчик|Xavier Mayo, | + | # 09:30 ''{{докладчик|Svetlana Velikanova, Konstantin Vorontsov, Xavier Mayo, Jordi Puignero}}'' Opening Remarks |
# 10:00 ''{{докладчик|Angie Ma}}'' (ASI Data Science) <br/> Practical machine learning for businesses | # 10:00 ''{{докладчик|Angie Ma}}'' (ASI Data Science) <br/> Practical machine learning for businesses | ||
# 10:30 ''{{докладчик|Sina Sohangir}}'' (Snapchat) <br/> Big Data Platform and Analytics at Snapchat, a next generation social network in the making | # 10:30 ''{{докладчик|Sina Sohangir}}'' (Snapchat) <br/> Big Data Platform and Analytics at Snapchat, a next generation social network in the making | ||
| - | # 11:00 ''{{докладчик| | + | # 11:00 ''{{докладчик|Jordi Puiggali}}'' (Scytl) <br/> Citizen privacy and secrecy challenges in government Open Data |
== Monday, October 10 [12:00–13:30] == | == Monday, October 10 [12:00–13:30] == | ||
| - | # 12:00 ''{{докладчик|Amir Youssefi}}'' (PayPal) | + | # 12:00 ''{{докладчик|Amir Youssefi}}'' (PayPal) <br/> Big Data: past experiences, current trends and future possibilities |
| - | # 12:30 ''{{докладчик|Victor Lempitsky}}'' (Skolkovo) <br/> Image Synthesis with Deep Neural Networks | + | # 12:30 ''{{докладчик|Victor Lempitsky}}'' (Skolkovo Institute of Science and Technology) <br/> Image Synthesis with Deep Neural Networks |
# 13:00 ''{{докладчик|Leonid Zhukov}}'' (Boston Consulting Group) <br/> Machine Intelligence in Industry 4.0 | # 13:00 ''{{докладчик|Leonid Zhukov}}'' (Boston Consulting Group) <br/> Machine Intelligence in Industry 4.0 | ||
| Строка 23: | Строка 23: | ||
# 15:00 ''{{докладчик|Pier Paolo Rossi}}'' (Banc Sabadell) <br/> Case of Big Data in Banc Sabadell, resulting in €10 Million of incremental incomes | # 15:00 ''{{докладчик|Pier Paolo Rossi}}'' (Banc Sabadell) <br/> Case of Big Data in Banc Sabadell, resulting in €10 Million of incremental incomes | ||
# 15:30 ''{{докладчик|Michael Levin}}'' (Yandex Data Factory) <br/> Unlocking the Value of Machine Learning for Business | # 15:30 ''{{докладчик|Michael Levin}}'' (Yandex Data Factory) <br/> Unlocking the Value of Machine Learning for Business | ||
| - | # 16:00 ''{{докладчик|Davide Consiglio}}'' (Boston Consulting Group) | + | # 16:00 ''{{докладчик|Davide Consiglio}}'' (Boston Consulting Group) <br/> Latest advanced analytics trends across Europe |
| - | == Monday, October 10 [17: | + | == Monday, October 10 [17:00–18:30] == |
| - | # 17:00 ''{{докладчик|Jane Zavalishina}}'' (Yandex Data Factory) <br/> | + | # 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 |
| - | # 18:00 ''{{докладчик| | + | # 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] == | ||
| - | # 09:30 ''{{докладчик|Vadim Strijov}}'' (MIPT) <br/> Model selection for time series forecasting | + | # 09:30 ''{{докладчик|Vadim Strijov}}'' (MIPT) <br/> [http://strijov.com/papers/Strijov2016IDP.pdf Model selection for time series forecasting] |
# 10:00 ''{{докладчик|Paolo Rosso}}'' (Universitat Politècnica de València) <br/> Mining Intelligent Information in Twitter: Detecting Irony and Sarcasm | # 10:00 ''{{докладчик|Paolo Rosso}}'' (Universitat Politècnica de València) <br/> Mining Intelligent Information in Twitter: Detecting Irony and Sarcasm | ||
| - | # 10:30 ''{{докладчик|Boris Polyak}}'' ( | + | # 10:30 ''{{докладчик|Boris Polyak}}'' (Institute for Control Science of RAS) <br/> Robust Principal Component Analysis |
# 11:00 ''{{докладчик|Alessandra Staglianò}}'' (ASI Data Science) <br/> Detecting Anomalies in the Real World | # 11:00 ''{{докладчик|Alessandra Staglianò}}'' (ASI Data Science) <br/> Detecting Anomalies in the Real World | ||
== Tuesday, October 11 [12:00–13:30] == | == Tuesday, October 11 [12:00–13:30] == | ||
=== Section A === | === Section A === | ||
| - | # 12:00 ''{{докладчик|Sima Yazdani}}'' (Cisco) | + | # 12:00 ''{{докладчик|Sima Yazdani}}'' (Cisco) <br/> Benefiting Local Talent Markets using Knowledge Networks & Cognitive Surplus |
# 12:30 ''{{докладчик|Yannis Ghazouani}}'' (Dataiku) <br/> Labelling images using transfer learning. An application to recommender system | # 12:30 ''{{докладчик|Yannis Ghazouani}}'' (Dataiku) <br/> Labelling images using transfer learning. An application to recommender system | ||
| - | # 13:00 ''{{докладчик|Flavio Soarez}}'' (Soares & Vacite) | + | # 13:00 ''{{докладчик|Flavio Soarez}}'' (Soares & Vacite) <br/> Blockchain on intellectual property: Legal issues |
=== Section В === | === Section В === | ||
| - | # 12:00 ''{{докладчик|Paolo Rosso}}'' <br/> '''(EN)''' Mining demographic information in social media: age, gender, and personality | + | # 12:00 ''{{докладчик|Paolo Rosso}}'' <br/> '''(EN)''' [[Media:12AM-IDP-author-profiling-PaoloRosso.pdf|Mining demographic information in social media: age, gender, and personality]] |
| - | # 12:20 ''{{докладчик|Ignatov Dmitry}}, Gizdatullin Danil, Mitrofanova Ekaterina, Muratova Anna, Baixeries Jaume'' <br/> ('''EN''') Pattern-based classification of demographic sequences | + | # 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]] |
| - | # 12:40 ''{{докладчик|Dvoenko Sergey}}, Pshenichny Denis'' <br/> '''(EN)''' Feature Grouping Based on the Optimal Sequence of Correlation Matrix Minors | + | # 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]] |
| - | # 13:00 ''{{докладчик|Vladimirova Maria}}, Strijov Vadim'' <br/> '''(EN)''' Bagging of Neural Networks in Multitask Classification of Biological Acivity for Nuclear Receptors | + | # 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 === | ||
| - | # 15:00 | + | # 15:00 ''{{докладчик|Alexander Isakov}}'' (Pallantius) <br/> Data Compass: Finding Your Way with Analytics |
# 15:30 ''{{докладчик|Yegor Budnikov}}'' (ABBYY) <br/> ABBYY COMPRENO: Technologies of Semantic Analysis and Information Extraction | # 15:30 ''{{докладчик|Yegor Budnikov}}'' (ABBYY) <br/> ABBYY COMPRENO: Technologies of Semantic Analysis and Information Extraction | ||
# 16:00 ''{{докладчик|Konstantin Mertsalov}}'' (Rational Enterprise) <br/> Managing Unstructured Data in the Enterprise | # 16:00 ''{{докладчик|Konstantin Mertsalov}}'' (Rational Enterprise) <br/> Managing Unstructured Data in the Enterprise | ||
=== Section В. Biometrics === | === Section В. Biometrics === | ||
| - | # 15:00 ''{{докладчик|Efimov Yuriy}}, Matveev Ivan'' <br/> '''(EN)''' Iris image segmentation by paired gradient method with pupil border refinement | + | # 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]] |
| - | # 15:20 ''{{докладчик|Matveev Ivan}}, Talipov Kamil'' <br/> '''(EN)''' Eyelids and eyelash detection based on clusterization of vector of local features | + | # 15:20 ''{{докладчик|Matveev Ivan}}, Talipov Kamil'' <br/> '''(EN)''' [[Media:MatveevTalipov.pdf|Eyelids and eyelash detection based on clusterization of vector of local features]] |
| - | # 15:40 ''{{докладчик|Odinokikh Gleb}}, Gnatyuk Vitaly, Korobkin Mikhail, Eremeev Vladimir'' <br/> '''(EN)''' Eyelid Position Detection Method for Mobile Iris Recognition | + | # 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]] |
| - | # 16:00 ''{{докладчик|Solomatin Ivan}}, Matveev Ivan, Novik Vladimir'' <br/> '''(EN)''' Detecting visible areas of iris by qualifier of textures with support set | + | # 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]] |
| - | # 16:20 ''{{докладчик|Chigrinskiy Viktor}}, Efimov Yuriy, Matveev Ivan'' <br/> '''(EN)''' Fast algorithm for determining pupil and iris boundaries | + | # 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]] |
| - | == Tuesday, October 11 [17: | + | == Tuesday, October 11 [17:00–18:40] == |
=== Section A === | === Section A === | ||
# 17:00 ''{{докладчик|Pouya Tafti}}'' (Allianz) <br/> Big Business meets Big Data, a personal perspective | # 17:00 ''{{докладчик|Pouya Tafti}}'' (Allianz) <br/> Big Business meets Big Data, a personal perspective | ||
# 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 | # 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 | ||
| - | |||
=== Section В. Time Series and Biomedical Signal Analysis === | === Section В. Time Series and Biomedical Signal Analysis === | ||
| - | # 17: | + | # 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]] |
| - | # 17: | + | # 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]] |
| - | # | + | # 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]] |
| - | # 18: | + | # 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 === | ||
| - | # 9:30 ''{{докладчик|Seredin Oleg}}, Mottl Vadim'' <br/> '''(RU)''' Methods of embedding real-world entities into a | + | # 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]] |
| - | # | + | # 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]] |
| - | # 10: | + | # 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]] |
| - | # 10: | + | # 10:30 ''{{докладчик|Krasotkina Olga}}, Vadim Mottl, Elena Chernousova'' <br/> '''(RU)''' Model volatility verification in problems of non-stationary dependence estimation |
| - | + | # 10:50 ''{{докладчик|Malenichev Anton}}, Krasotkina Olga, Mottl Vadim'' <br/> '''(RU)''' Quick methods of online learning for generalized linear models of arbitrary dependences | |
=== Section В. Text Analysis and Information Retrieval === | === Section В. Text Analysis and Information Retrieval === | ||
| - | # 9:30 ''{{докладчик|Vorontsov Konstantin}}, Apishev Murat, Koltsov Sergei, Koltsova Olessia, Nikolenko Sergey'' <br/> '''(RU)''' Additively Regularized Topic Model for Searching Ethnical Discourse in Social Media | + | # 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]] |
| - | # 9:50 ''{{докладчик|Chirkova Nadezhda}}, Vorontsov Konstantin'' <br/> '''(EN)''' Additive Regularization for Hierarchical Multimodal Topic Modeling | + | # 9:50 ''{{докладчик|Chirkova Nadezhda}}, Vorontsov Konstantin'' <br/> '''(EN)''' [[Media:2.Chirkova.pdf|Additive Regularization for Hierarchical Multimodal Topic Modeling]] |
| - | # 10:10 ''{{докладчик|Filchenkov Andrey}}, Smelik Nikolay'' <br/> '''(EN)''' Multimodal topic model for texts and images utilizing their embeddings | + | # 10:10 ''{{докладчик|Filchenkov Andrey}}, Smelik Nikolay'' <br/> '''(EN)''' [[Media:iip11_Filchenkov.pdf|Multimodal topic model for texts and images utilizing their embeddings]] |
| - | # 10:30 ''{{докладчик|Ianina Anastasia}}, Vorontsov Konstantin'' <br/> '''(RU)''' Multimodal topic modeling for exploratory search in collective blog | + | # 10:30 ''{{докладчик|Ianina Anastasia}}, Vorontsov Konstantin'' <br/> '''(RU)''' [[Media:iip11_Yanina.pdf|Multimodal topic modeling for exploratory search in collective blog]] |
| - | # 10:50 | + | # 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]] |
| - | + | ||
== Thursday, October 13 [12:00–13:20] == | == Thursday, October 13 [12:00–13:20] == | ||
=== Section A. Linear Predictive Models === | === Section A. Linear Predictive Models === | ||
| - | # 12:00 ''{{докладчик|Nedel'ko Victor}}'' <br/> '''(RU)''' Investigation of effectiveness of several linear classifiers | + | # 12:00 ''{{докладчик|Nedel'ko Victor}}'' <br/> '''(RU)''' [[Media:Nedelko_IOI2016_presentation.pdf|Investigation of effectiveness of several linear classifiers]] |
| - | # 12:20 ''{{докладчик|Mottl Vadim}}, Levdik Pavel, Krasotkina Olga'' <br/> '''(RU)''' | + | # 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]] |
| - | # 12:40 ''{{докладчик|Levdik Pavel}}, Mottl Vadim, Krasotkina Olga, Tatarchuk Alexander'' <br/> '''(RU)''' Numerical evidence evaluation for generalized linear dependence models | + | # 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]] |
| - | ===Section | + | ===Section B. Text Analysis. Speech Analysis and Recognition === |
| - | # 12:00 ''{{докладчик|Romanov Alexey}}, Khritankov Anton'' <br/> '''(RU)''' Candidate Document Retrieval for Cross-Lingual Plagiarism Detection | + | # 12:00 ''{{докладчик|Romanov Alexey}}, Khritankov Anton'' <br/> '''(RU)''' [[Media:6.Romanov.pdf|Candidate Document Retrieval for Cross-Lingual Plagiarism Detection]] |
| - | # 12:20 ''{{докладчик|Chuvilin Kirill}}'' <br/> '''(RU)''' Parametric approach to the construction of syntax trees for partially formalized text documents | + | # 12:20 ''{{докладчик|Chuvilin Kirill}}'' <br/> '''(RU)''' [[Media:7.Chuvilin.pdf|Parametric approach to the construction of syntax trees for partially formalized text documents]] |
| - | # 12:40 ''{{докладчик|Kalyan Viktor}}, Kalyan Anastasia'' <br/> '''(RU)''' The choice of decisions at recognition of emotions on the speech | + | # 12:40 ''{{докладчик|Kalyan Viktor}}, Kalyan Anastasia'' <br/> '''(RU)''' [[Media:8.Kalyan.pdf|The choice of decisions at recognition of emotions on the speech]] |
| - | # 13:00 ''{{докладчик|Miroshnichenko Lubov}}, Bakhmutova Irina, Gusev Vladimir, Titkova Tatyana'' <br/> '''(RU)''' Comparison and integration of approaches to deciphering of ancient Russian hymnals | + | # 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] == | ||
| Строка 108: | Строка 104: | ||
=== Section A. Discrete Optimization and Computational Complexity === | === Section A. Discrete Optimization and Computational Complexity === | ||
# 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 | # 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 | ||
| - | # 15:20 ''{{докладчик|Gimadi Edward}}'' <br/> '''(RU)''' Implementation of the asymptotically optimal approach to polynomial time solving some hard discrete optimization problems of rooting, assigning, covering, and clustering | + | # 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]] |
| - | # 15:40 ''{{докладчик|Kel'manov Alexander}}'' <br/> '''(RU)''' On some clustering problems: Complexity and efficient algorithms with performance garantees | + | # 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]] |
| - | # 16:00 ''{{докладчик|Pyatkin Artem}}, Eremeev Anton, Kel'manov Alexander'' <br/> '''(RU)''' On searching for a vectors subset with the minimum normalized squared sum length | + | # 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]] |
| - | # 16:20 ''{{докладчик|Khandeev Vladimir}}, Kel'manov Alexander, Mikhailova Ludmila, Khamidullin Sergey'' <br/> '''(RU)''' An approximation algorithm for one NP-hard problem of partitioning a sequence into clusters with restrictions on their cardinalities | + | # 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]] |
=== Section В. Image Analysis and Recognition=== | === Section В. Image Analysis and Recognition=== | ||
| - | # 15:00 ''{{докладчик|Dvoenko Sergey}}, Dang Thanh'' <br/> '''(EN)''' Removing of combined noise in raster images | + | # 15:00 ''{{докладчик|Dvoenko Sergey}}, Dang Thanh'' <br/> '''(EN)''' [[Media:1.DvoenkoIDP2016.pdf|Removing of combined noise in raster images]] |
| - | # 15:20 ''{{докладчик|Vishnyakov Boris}}, Sidyakin Sergey, Roslov Nikolay, Vizilter Yuri'' <br/> '''(RU)''' Change detection in the sequences of images in complex scenes | + | # 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]] |
| - | # 15:40 ''{{докладчик|Gorbatsevich Vladimir}}, Vizilter Yuri, Vorotnikov Andrew, Kostromov Nikita'' <br/> '''(RU)''' Real-Time Face Identification via CNN and Boosted Hashing Forest | + | # 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]] |
| - | # 16:00 ''{{докладчик|Murashov Dmitry}}'' <br/> '''(RU)''' Application of information-theoretical performance criterion for image segmentation | + | # 16:00 ''{{докладчик|Murashov Dmitry}}'' <br/> '''(RU)''' [[Media:4.MurashovIDP2016.pdf|Application of information-theoretical performance criterion for image segmentation]] |
# 16:20 ''{{докладчик|Fedotov Nikolay}}, Syemov Aleksey, Moiseev Alexandr'' <br/> '''(RU)''' New method for three-dimensional images intelligent analysis and recognition: Description and examples | # 16:20 ''{{докладчик|Fedotov Nikolay}}, Syemov Aleksey, Moiseev Alexandr'' <br/> '''(RU)''' New method for three-dimensional images intelligent analysis and recognition: Description and examples | ||
| Строка 123: | Строка 119: | ||
=== Section A. Applied Systems === | === Section A. Applied Systems === | ||
| - | # 17:00 ''{{докладчик|Beklaryan Levon}}, Akopov Andranik, Beklaryan Armen, Saghatelyan Armen'' <br/> '''(RU)''' Agent-based simulation modeling for regional ecological-economic systems. A case study of the Republic of Armenia | + | # 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]] |
| - | # 17:20 ''{{докладчик|Volkov Yuriy}}, Bogdanov Vladimir, Miroshnichenko Valery, Salienko Alexander'' <br/> '''(RU)''' Calculation of parameters of model hydraulic turbine by value of the specific speed | + | # 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]] |
| - | # 17:40 ''{{докладчик|Ilyasova Nataly}}, Kupriyanov Alexandr, Paringer Rustam'' <br/> '''(RU)''' Particular usage characteristics of BIG DATA in medical diagnostics tasks | + | # 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]] |
| - | # 18:00 ''{{докладчик|Marukhina Olga}}, Mokina Elena, Shagarova Maria, Dubinina Irina'' <br/> '''(RU)''' Applying data mining techniques when making medical diagnostic decisions | + | # 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]] |
| - | # 18:20 ''{{докладчик|Sychugov Alexey}}, Rudnev Dmitry'' <br/> '''(RU)''' Analysis of the security of distributed information systems based on featureless pattern recognition | + | # 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]] |
| + | # 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. Brain Signal Analysis === | === Section В. Brain Signal Analysis === | ||
| - | # 17:00 ''{{докладчик|Antsiperov Viacheslav}}, Obukhov Yury'' <br/> '''(RU)''' Analysis of brain structures hypersynchronization during the epileptic discharges on the basis of conical kernel representations of electroencephalogram signal | + | # 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]] |
| - | # 17:20 ''{{докладчик|Butorina Anna}}, Litvak Vladimir'' <br/> '''(RU)''' Use of spectral analysis and Random Field Theory for MEG data analysis | + | # 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]] |
| - | # 17:40 ''{{докладчик|Kershner Ivan}}, Obukhov Yury, Komoltsev Ilya'' <br/> '''(RU)''' Detection algorithm of epileptic discharges and sleep spindles in rats in early posttraumatic period | + | # 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]] |
| - | # 18:00 ''{{докладчик|Maliuta Inna}}, Obukhov Konstantin, Obukhov Yury'' <br/> '''(RU)''' The classification method of sleep spindels and epilepsy | + | # 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]] |
| - | # 18:20 ''{{докладчик|Manilo Ludmila}}, Nemirko Anatolii'' <br/> '''(RU)''' Multiple discriminant analysis for recognition of biosignals in frequency domain | + | # 18:20 ''{{докладчик|Manilo Ludmila}}, Nemirko Anatolii'' <br/> '''(RU)''' [[Media:Manilo.pdf|Multiple discriminant analysis for recognition of biosignals in frequency domain]] |
| - | # 18:40 ''{{докладчик|Obukhov Konstantin}}, Maliuta Inna, Obukhov Yury'' <br/> '''(RU)''' Classification of early stage Parkinson's disease based on electroencephalography feature set | + | # 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]] |
== Friday, October 14 [9:30–11:30] == | == Friday, October 14 [9:30–11:30] == | ||
=== Section A. Machine Learning === | === Section A. Machine Learning === | ||
| - | # 9:30 ''{{докладчик|Lange Mikhail}}'' <br/> '''(RU)''' Information criterion for comparison of metric classifiers in ensemble of sources | + | # 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]] |
# 9:50 ''{{докладчик|Manilo Ludmila}}, Nemirko Anatolii'' <br/> '''(RU)''' Reduction of feature space dimension based on separability criterion | # 9:50 ''{{докладчик|Manilo Ludmila}}, Nemirko Anatolii'' <br/> '''(RU)''' Reduction of feature space dimension based on separability criterion | ||
| - | # 10:10 ''{{докладчик|Motrenko Anastasia}}'' <br/> '''(EN)''' Sample size estimation in classification problems | + | # 10:10 ''{{докладчик|Motrenko Anastasia}}'' <br/> '''(EN)''' [[Media:02.MotrenkoIDP2016.pdf|Sample size estimation in classification problems]] |
| - | # 10:30 ''{{докладчик|Pushnyakov Alexey}}'' <br/> '''(RU)''' Interdependence of clusters measures and distance distribution in compact metric spaces | + | # 10:30 ''{{докладчик|Pushnyakov Alexey}}'' <br/> '''(RU)''' [[Media:PushnyakovIDP2016.pdf|Interdependence of clusters measures and distance distribution in compact metric spaces]] |
| - | # 10:50 ''{{докладчик|Yankovskaya Anna}}, Dementyev Yury, Yamshanov Artem, Lyapunov Danil'' <br/> '''(RU)''' Prediction of Students' Learning Results with Usage of Mixed Diagnostic Tests and 2-simplex Prism | + | # 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. Airspace image analysis === | === Section В. Airspace image analysis === | ||
| - | # 9:30 ''{{докладчик|Ignatiev Vladimir}}, Matveev Ivan, Murynin Alexander, Trekin Alexey'' <br/> '''(EN)''' 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]] |
| - | # 9:50 ''{{докладчик|Murynin Alexander}}, Bondur Valery, Gordo Kristina'' <br/> '''(RU)''' Satellite imagery processing methods for the estimation of trace gas and aerosol emissions due to wildfires | + | # 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]] |
| - | # 10:10 ''{{докладчик| Ignatiev Vladimir}}, Murynin Alexander, Matveev Ivan, Trekin Alexey'' <br/> '''(RU)''' Object-oriented classification for recognition of earth surface in Arctic ecosystems | + | # 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]] |
| - | # 10:30 ''{{докладчик|Murynin Alexander}}, Bondur Valery, Ignatiev Vladimir'' <br/> '''(RU)''' Parameters optimization in the problem of sea-wave spectra recovery by airspace images | + | # 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. Machine Learning === | === Section A. Machine Learning === | ||
| - | # 12:00 ''{{докладчик|Aduenko Aleksandr}}, Strijov Vadim'' <br/> '''(EN)''' | + | # 12:00 ''{{докладчик|Aduenko Aleksandr}}, Strijov Vadim'' <br/> '''(EN)''' [[Media:Aduenko2016IDP.pdf|Feature space analysis for multimodel selection]] |
| - | # 12:20 ''{{докладчик|Ishkina Shaura}}'' <br/> '''(RU)''' Approximation of combinatorial generalization bounds for threshold classifiers | + | # 12:20 ''{{докладчик|Ishkina Shaura}}'' <br/> '''(RU)''' [[Media:02.Ishkina2016.pdf|Approximation of combinatorial generalization bounds for threshold classifiers]] |
| - | # 12:40 ''{{докладчик|Ostapets Andrey}}'' <br/> '''(RU)''' Decision rules for ensembled probabilistic classifier chain for multi-label classification | + | # 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)''' Reinforcement-based Simultaneous Classification Model and its Hyperparameters Selection | + | # 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]] |
=== Section В. Bioinformatics=== | === Section В. Bioinformatics=== | ||
| - | # 12:00 ''{{докладчик|Kulikova Liudmila}}, Tikhonov Dmitrii, Efimov Aleksandr'' <br/> '''(RU)''' Statistical analysis of the internal distances of helical pairs in protein molecules | + | # 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]] |
| - | # 12:20 ''{{докладчик|Nazipova Nafisa}}, Chaley Mariya, Kutyrkin Vladimir, Tulbasheva Gayane, Teplukhina Elena'' <br/> '''(RU)''' Automated technology for revealing latent periodicities in DNA sequences | + | # 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]] |
| - | # 12:40 ''{{докладчик|Sulimova Valentina}}, Seredin Oleg, Mottl Vadim'' <br/> '''(EN)''' Construction metrics for biomolecular sequences | + | # 12:40 ''{{докладчик|Sulimova Valentina}}, Seredin Oleg, Mottl Vadim'' <br/> '''(EN)''' [[Media:SulimovaIDP2016.pdf|Construction metrics for biomolecular sequences]] |
== Friday, October 14 [15:00–16:40] == | == Friday, October 14 [15:00–16:40] == | ||
=== Section A. Morphological Image Processing === | === Section A. Morphological Image Processing === | ||
| - | # 15:00 ''{{докладчик| | + | # 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]] |
| - | # 15:20 ''{{докладчик| | + | # 15:20 ''{{докладчик|Mestetskiy Leonid}}, Lomov Nikita'' <br/> '''(RU)''' [[Media:MestetskiyIDP2016.pdf|Recognition of digital fonts from images based on the disk cover]] |
| - | # 15:40 ''{{докладчик| | + | # 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]] |
| - | # 16:00 ''{{докладчик| | + | # 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]] |
| - | # 16:20 ''{{докладчик|Fedotova Sofia}}, Seredin Oleg, Kushnir Olesia'' <br/> '''(RU)''' The Algorithms of Adjustment of Reflection Symmetry Axis Found by the Skeleton Primitive Sub-Chains Comparison Method | + | # 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 === | === Section В. Signal and Time Series Analysis === | ||
| - | # 15:00 ''{{докладчик|Neychev Radoslav}}, Motrenko Anastasia, Isachenko Roman, Strijov Vadim'' <br/> '''(EN)''' Multimodel forecasting multiscale time series in Internet of Things | + | # 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)''' Aggregation of data from different sources in traffic flow tasks | + | # 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)''' Presentation of software tool for embedding and extracting hidden messages in audio files | + | # 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]] |
| - | + | ||
| - | == Friday, October 14 [17:00–18: | + | == Friday, October 14 [17:00–18:30] == |
| - | # 17:00 ''{{докладчик|Gornov Alexander}}, Zarodnyuk Tatiana, Anikin Anton, Finkelstein Evgeniya'' <br/> '''(RU)''' Algorithms and computational technology for extremum search in optimal control problems | + | # 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]] |
| - | # | + | # 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]] |
| + | # 18:00 ''{{докладчик|Rudakov Konstantin}}, Torshin Ivan'' <br/> '''(RU)''' On metric spaces arising during formalization of problems of recognition and classification: Properties of compactness | ||
<!--# ''{{докладчик|Vizilter Yuri}}--> | <!--# ''{{докладчик|Vizilter Yuri}}--> | ||
Текущая версия
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]
- 09:30 Svetlana Velikanova, Konstantin Vorontsov, Xavier Mayo, Jordi Puignero Opening Remarks
- 10:00 Angie Ma (ASI Data Science)
Practical machine learning for businesses - 10:30 Sina Sohangir (Snapchat)
Big Data Platform and Analytics at Snapchat, a next generation social network in the making - 11:00 Jordi Puiggali (Scytl)
Citizen privacy and secrecy challenges in government Open Data
Monday, October 10 [12:00–13:30]
- 12:00 Amir Youssefi (PayPal)
Big Data: past experiences, current trends and future possibilities - 12:30 Victor Lempitsky (Skolkovo Institute of Science and Technology)
Image Synthesis with Deep Neural Networks - 13:00 Leonid Zhukov (Boston Consulting Group)
Machine Intelligence in Industry 4.0
Monday, October 10 [15:00–16:30]
- 15:00 Pier Paolo Rossi (Banc Sabadell)
Case of Big Data in Banc Sabadell, resulting in €10 Million of incremental incomes - 15:30 Michael Levin (Yandex Data Factory)
Unlocking the Value of Machine Learning for Business - 16:00 Davide Consiglio (Boston Consulting Group)
Latest advanced analytics trends across Europe
Monday, October 10 [17:00–18:30]
- 17:00 Jane Zavalishina (Yandex Data Factory), Davide Consiglio (BCG), Andrey Kutovoy (VTB), Pier Paolo Rossi (Banc Sabadell)
Machine Learning for Banks - 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]
- 09:30 Vadim Strijov (MIPT)
Model selection for time series forecasting - 10:00 Paolo Rosso (Universitat Politècnica de València)
Mining Intelligent Information in Twitter: Detecting Irony and Sarcasm - 10:30 Boris Polyak (Institute for Control Science of RAS)
Robust Principal Component Analysis - 11:00 Alessandra Staglianò (ASI Data Science)
Detecting Anomalies in the Real World
Tuesday, October 11 [12:00–13:30]
Section A
- 12:00 Sima Yazdani (Cisco)
Benefiting Local Talent Markets using Knowledge Networks & Cognitive Surplus - 12:30 Yannis Ghazouani (Dataiku)
Labelling images using transfer learning. An application to recommender system - 13:00 Flavio Soarez (Soares & Vacite)
Blockchain on intellectual property: Legal issues
Section В
- 12:00 Paolo Rosso
(EN) Mining demographic information in social media: age, gender, and personality - 12:20 Ignatov Dmitry, Gizdatullin Danil, Mitrofanova Ekaterina, Muratova Anna, Baixeries Jaume
(EN) Pattern-based classification of demographic sequences - 12:40 Dvoenko Sergey, Pshenichny Denis
(EN) Feature Grouping Based on the Optimal Sequence of Correlation Matrix Minors - 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
- 15:00 Alexander Isakov (Pallantius)
Data Compass: Finding Your Way with Analytics - 15:30 Yegor Budnikov (ABBYY)
ABBYY COMPRENO: Technologies of Semantic Analysis and Information Extraction - 16:00 Konstantin Mertsalov (Rational Enterprise)
Managing Unstructured Data in the Enterprise
Section В. Biometrics
- 15:00 Efimov Yuriy, Matveev Ivan
(EN) Iris image segmentation by paired gradient method with pupil border refinement - 15:20 Matveev Ivan, Talipov Kamil
(EN) Eyelids and eyelash detection based on clusterization of vector of local features - 15:40 Odinokikh Gleb, Gnatyuk Vitaly, Korobkin Mikhail, Eremeev Vladimir
(EN) Eyelid Position Detection Method for Mobile Iris Recognition - 16:00 Solomatin Ivan, Matveev Ivan, Novik Vladimir
(EN) Detecting visible areas of iris by qualifier of textures with support set - 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
- 17:00 Pouya Tafti (Allianz)
Big Business meets Big Data, a personal perspective - 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
- 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 - 17:40 Florinsky Igor, Pankratov Anton
(EN) On the role of the Fejér summation in terrain modeling - 18:00 Rykunov Stanislav, Boyko Anna, Sychev Vyacheslav, Ustinin Mikhail, Rykunova Elena
(EN) Partial spectroscopy of the human brain spontaneous activity - 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
- 9:30 Mottl Vadim, Seredin Oleg
(RU) A generalized linear approach to estimation of dependences from empirical data - 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 - 10:10 Turkov Pavel, Krasotkina Olga, Mottl Vadim
(RU) Estimation of arbitrary nonstationary dependences in a linear observation space - 10:30 Krasotkina Olga, Vadim Mottl, Elena Chernousova
(RU) Model volatility verification in problems of non-stationary dependence estimation - 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
- 9:30 Vorontsov Konstantin, Apishev Murat, Koltsov Sergei, Koltsova Olessia, Nikolenko Sergey
(RU) Additively Regularized Topic Model for Searching Ethnical Discourse in Social Media - 9:50 Chirkova Nadezhda, Vorontsov Konstantin
(EN) Additive Regularization for Hierarchical Multimodal Topic Modeling - 10:10 Filchenkov Andrey, Smelik Nikolay
(EN) Multimodal topic model for texts and images utilizing their embeddings - 10:30 Ianina Anastasia, Vorontsov Konstantin
(RU) Multimodal topic modeling for exploratory search in collective blog - 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
- 12:00 Nedel'ko Victor
(RU) Investigation of effectiveness of several linear classifiers - 12:20 Mottl Vadim, Levdik Pavel, Krasotkina Olga
(RU) Evidence evaluation for trainable models of arbitrary dependences: A generalized linear approach - 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
- 12:00 Romanov Alexey, Khritankov Anton
(RU) Candidate Document Retrieval for Cross-Lingual Plagiarism Detection - 12:20 Chuvilin Kirill
(RU) Parametric approach to the construction of syntax trees for partially formalized text documents - 12:40 Kalyan Viktor, Kalyan Anastasia
(RU) The choice of decisions at recognition of emotions on the speech - 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
- 15:00 Galashov Alexandr, Kel'manov Alexander
(RU) An exact pseudopolynomial-time algorithm for a problem of finding a family of disjoint subsets - 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 - 15:40 Kel'manov Alexander
(RU) On some clustering problems: Complexity and efficient algorithms with performance garantees - 16:00 Pyatkin Artem, Eremeev Anton, Kel'manov Alexander
(RU) On searching for a vectors subset with the minimum normalized squared sum length - 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
- 15:00 Dvoenko Sergey, Dang Thanh
(EN) Removing of combined noise in raster images - 15:20 Vishnyakov Boris, Sidyakin Sergey, Roslov Nikolay, Vizilter Yuri
(RU) Change detection in the sequences of images in complex scenes - 15:40 Gorbatsevich Vladimir, Vizilter Yuri, Vorotnikov Andrew, Kostromov Nikita
(RU) Real-Time Face Identification via CNN and Boosted Hashing Forest - 16:00 Murashov Dmitry
(RU) Application of information-theoretical performance criterion for image segmentation - 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
- 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 - 17:20 Volkov Yuriy, Bogdanov Vladimir, Miroshnichenko Valery, Salienko Alexander
(RU) Calculation of parameters of model hydraulic turbine by value of the specific speed - 17:40 Ilyasova Nataly, Kupriyanov Alexandr, Paringer Rustam
(RU) Particular usage characteristics of BIG DATA in medical diagnostics tasks - 18:00 Marukhina Olga, Mokina Elena, Shagarova Maria, Dubinina Irina
(RU) Applying data mining techniques when making medical diagnostic decisions - 18:20 Sychugov Alexey, Rudnev Dmitry
(RU) Analysis of the security of distributed information systems based on featureless pattern recognition - 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
- 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 - 17:20 Butorina Anna, Litvak Vladimir
(RU) Use of spectral analysis and Random Field Theory for MEG data analysis - 17:40 Kershner Ivan, Obukhov Yury, Komoltsev Ilya
(RU) Detection algorithm of epileptic discharges and sleep spindles in rats in early posttraumatic period - 18:00 Maliuta Inna, Obukhov Konstantin, Obukhov Yury
(RU) The classification method of sleep spindels and epilepsy seizures in EEG after traumatic brain injury - 18:20 Manilo Ludmila, Nemirko Anatolii
(RU) Multiple discriminant analysis for recognition of biosignals in frequency domain - 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
- 9:30 Lange Mikhail
(RU) Information criterion for comparison of metric classifiers in ensemble of sources - 9:50 Manilo Ludmila, Nemirko Anatolii
(RU) Reduction of feature space dimension based on separability criterion - 10:10 Motrenko Anastasia
(EN) Sample size estimation in classification problems - 10:30 Pushnyakov Alexey
(RU) Interdependence of clusters measures and distance distribution in compact metric spaces - 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
- 9:30 Ignatiev Vladimir, Matveev Ivan, Murynin Alexander, Trekin Alexey
(EN) Image quality evaluation for resampling methods based on spatial spectrum extrapolation - 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 - 10:10 Ignatiev Vladimir, Murynin Alexander, Matveev Ivan, Trekin Alexey
(RU) Object-oriented classification for recognition of earth surface in Arctic ecosystems - 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
- 12:00 Aduenko Aleksandr, Strijov Vadim
(EN) Feature space analysis for multimodel selection - 12:20 Ishkina Shaura
(RU) Approximation of combinatorial generalization bounds for threshold classifiers - 12:40 Ostapets Andrey
(RU) Decision rules for ensembled probabilistic classifier chain for multi-label classification - 13:00 Efimova Valeria, Filchenkov Andrey, Shalyto Anatoly
(EN) Reinforcement-based Simultaneous Classification Model and its Hyperparameters Selection
Section В. Bioinformatics
- 12:00 Kulikova Liudmila, Tikhonov Dmitrii, Efimov Aleksandr
(RU) Statistical analysis of the internal distances of helical pairs in protein molecules - 12:20 Nazipova Nafisa, Chaley Mariya, Kutyrkin Vladimir, Tulbasheva Gayane, Teplukhina Elena
(RU) Automated technology for revealing latent periodicities in DNA sequences - 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
- 15:00 Lomov Nikita, Sidyakin Sergey, Vizilter Yury
(RU) Classification of two-dimensional figures using skeleton-geodesic histograms of thicknesses and distances - 15:20 Mestetskiy Leonid, Lomov Nikita
(RU) Recognition of digital fonts from images based on the disk cover - 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 - 16:00 Lebedev Maksim, Kostromov Nikita, Rubis Aleksey, Komarov Denis, Vygolov Oleg, Vizilter Yuri
(RU) Morphological image matching using deep convolutional neural networks - 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
- 15:00 Neychev Radoslav, Motrenko Anastasia, Isachenko Roman, Strijov Vadim
(EN) Multimodel forecasting multiscale time series in Internet of Things - 15:20 Starozhilets Vsevolod, Chehovich Yuriy
(RU) Aggregation of data from different sources in traffic flow tasks - 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]
- 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 - 17:30 Gornov Alexander, Zarodnyuk Tatiana, Anikin Anton, Finkelstein Evgeniya
(RU) Algorithms and computational technology for extremum search in optimal control problems - 18:00 Rudakov Konstantin, Torshin Ivan
(RU) On metric spaces arising during formalization of problems of recognition and classification: Properties of compactness
