Публикации
ПЕРЕЧЕНЬ ПУБЛИКАЦИЙ СОТРУДНИКОВ НИЛ «БОЛЬШИЕ ДАННЫЕ И АНАЛИЗ ТЕКСТА» ЗА 2014-2015 ГГ.
Публикации, индексируемые в Scopus/Web of Science, в которых представлены основные научные результаты, полученные сотрудниками НИЛ:
1. Batyrshin I., Solovyev V., Ivanov V. Time series shape association measures and local trend association patterns. // Neurocomputing, 2015
2. Delhibabu Radhakrishnan, An abductive framework for knowledge base dynamics.- Applied Mathematics and Information Sciences, 2015, С.571-582
3. Batyrshin I., Solovyev V., Positive and Negative Local Trend Association Patterns in Analysis of Associations between Time Series.- PATTERN RECOGNITION, MCPR 2014 Book Series: Lecture Notes in Computer Science, Volume: 8495, 2014, С..: 92-101
4. Ivanov V., Tutubalina E., Clause-based approach to extracting problem phrases from user reviews of products, Conference: 3rd International Conference on Analysis of Images, Social Networks, and Texts (AIST) Location: Yekaterinburg, RUSSIA Date: APR 10-12, 2014
5. Ivanov V.V., Extracting frame-like structures from google books NGram dataset. // Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 8856, pp. 18-27
6. Ivanov V.V., Solovyev V.D. Dictionary-based problem phrase extraction from user reviews. // Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Volume 8655 LNAI, 2014, C. 225-232
7. Ivanov V.V., Nikolaev F.A., Generating a dictionary of control models for event extraction. // CEUR Workshop Proceedings, Volume 1308, 2014, C. 10-12
8. Nevzorova, O.A., Zhiltsov, N., Kirillovich, A., Lipachev, E. OntoMathPRO ontology: A linked data hub for mathematics. // Communications in Computer and Information Science Volume 468, 2014, С. 105-119
9. Elizarov, A.M., Kirillovich, A.V., Lipachev, E.K., Nevzorova, O.A., Solovyev, V.D., Zhiltsov, N.G. Mathematical knowledge representation: semantic models and formalisms. // Lobachevskii Journal of Mathematics Volume 35, Issue 4, 2014, С. 348-354
10. Tutubalina E. Target-Based Topic Model for Problem Phrase Extraction. Proceedings ot the 37th European Conference on Information Retrieval. // Springer International Publishing, 2015. – pp. 271-277.
11. Ivanov V., Tutubalina E., Mingazov N., Alimova I. Extracting aspects, sentiment and categories of aspects in user reviews about restaurants and cars // Proceedings of International Conference "Dialog-2015", Moscow, Russia. – 2015
12. Tutubalina E., Zagulova M., Ivanov V., Malykh V. A supervised approach for sentirueval task on sentiment analysis of tweets about telecom and financial companies // Proceedings of International Conference "Dialog-2015", Moscow, Russia. – 2015
13.Tutubalina E. Clustering-based Approach to Multiword Expression Extraction and Ranking //Proceedings of NAACL-HLT. – 2015. – С. 39-43.
14.Tutubalina E. Dependency-based Problem Phrase Extraction from User Reviews of Products. // Proceedings of the Text, Speech and Dialogue conference, Plizen, Czech Republic. – Springer International Publishing, 2015
15.Tutubalina E., Lukashevich N., Blinov P., Kotelnikov E., Rubtsov Y., Ivanov V., SentiRuEval: testing object-oriented sentiment analysis systems in Russian. // Proceedings. International Conference "Dialog 2015", Moscow, Russia, 2015. - Computational Linguistics and Intellectual Technologies, 2015, 12cтр.
16.Zhiltsov N., Kotov A., Nikolaev F. Fielded Sequential Dependence Model for Ad-Hoc Entity Retrieval in the Web of Data // Proceedings of SIGIR'15, 2015.
17.Gareev R., Ivanov V. A comparative evaluation of statistical Part-of-Speech taggers for Russian // Proceedings of RuSSIR'14. - 2015.
18. Ilseyar Alimova. Yet Another Tool for Time Series Visualization and Analysis. // Proceedings of the ECMLPKDD 2015 Doctoral Consortium, 2015.
19. Tutubalina E., Ivanov V. Unsupervised Approach to Extracting Problem Phrases from User Reviews of Products //COLING 2014. – 2014. – С. 48.
20. Tutubalina E. and Nikolenko S. Inferring Sentiment-Based Priors in Topic Models. Proceedings of the 14th Mexican International Conference on Artificial Intelligence. – Springer International Publishing, 2015
21. Alexander Elizarov, Nikita Zhiltsov, Alexander Kirillovich, Evgeny Lipachev. Mathematical Scholary Papers for Recomandation Service // XVII International Conference "Data Analytics and Management in Data Intensive Domains" (DAMDID/RCDL'2015).
22. Елизаров А.М., Жильцов Н.Г., Иванов В.В., Кириллович А.В., Липачёв Е.К., Невзорова О.А. Семантический рекомендательный сервис в профессиональной деятельности математика // Ученые записки Института социальных и гуманитарных знаний. – 2015. – Вып. 1 (13). – С. 190-197
23. Елизаров А.М., Жильцов Н.Г., Кириллович А.В., Липачёв Е.К. Семантическое аннотирование в системе управления физико-математическим контентом // Труды VII "Всеросийской научной конференции Научный сервис в сети интернет". ИПМ им. Келдыша, 2015
24. Radhakrishnan Delhibabu - Dynamics of Belief: Abduction, Horn Knowledge Base And Database Updates, KI 2015, Doctoral Consortium.
25. Rustam Tagiew, Dmitry I. Ignatov and Radhakrishnan Delhibabu - The Economy of Internet
-Based Hospitality Exchange - WI 2015
26. Rustam Tagiew, Dmitry I. Ignatov and Radhakrishnan Delhibabu - Hospitality Exchange Services as a Source of Spatial and Social Data? - MASS 2015
27. Delhibabu R. et al. Automatic contrast enhancement for wireless capsule endoscopy videos with spectral optimal contrast-tone mapping 2015 Smart Innovation, Systems and Technologies
28. Delhibabu R. et al. Automatic image segmentation for video capsule endoscopy 2015 SpringerBriefs in Applied Sciences and Technology
29. Delhibabu, R. et al. An abductive framework for knowledge base dynamics // Applied Mathematics and Information Sciences, 2015
30. Delhibabu, R. et al. Image restoration with fuzzy coefficient driven anisotropic diffusion // Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2015
31. Delhibabu, R. et al. Image inpainting with modified f-transform // Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2015