Elena Tutubalina


Elena Tutubalina is a Senior Researcher at the Chemoinformatics and Molecular Modeling Laboratory at the Kazan Federal University.

She completed her Ph.D. in Computer Science at the Kazan Federal University in 2016. Her Ph.D. examined product reviews to monitor customer opinions and detect information about functional and usability defects and overall user experience.

Her research interests include information extraction, opinion mining, machine learning, neural networks, and chemoinformatics.

Her current research topic is the development of novel methods for discovering knowledge from biomedical texts and electronic health records.

h-index: 4, citations count: 57, counted articles: 22) [Provided by SCOPUS API]

List of published articles:

Published Meta Cited Count CiteScore Quartiles
2018-08-01 Medical concept normalization in social media posts with recurrent neural networks / E. Tutubalina, Z.S. Miftahutdinov, S. Nikolenko, V. Malykh // Journal of Biomedical Informatics.— 2018.— V.84.— P.93-102 [doi] 0 3.50(2017), 3.23(2016), 3.66(2015), 3.48(2014), 3.07(2013), 3.08(2012), 2.64(2011) Q1(2017), Q1(2016), Q1(2015), Q1(2014), Q1(2013), Q1(2012), Q1(2011)
2018-02-01 Exploring convolutional neural networks and topic models for user profiling from drug reviews / E. Tutubalina, S. Nikolenko // Multimedia Tools and Applications.— 2018.— P.1-19 [doi] 0 1.41(2017), 1.19(2016), 0.95(2015), 1.33(2014), 1.33(2013), 1.34(2012), 1.41(2011) Q1(2017), Q1(2016), Q1(2015), Q1(2014), Q1(2013), Q1(2012), Q1(2011)
2018-01-17 End-to-end deep framework for disease named entity recognition using social media data / Z.S. Miftahutdinov, E. Tutubalina // IEEE 30th Jubilee Neumann Colloquium, NC 2017.— 2018.— V.2018-January.— P.47-52 [doi] 0
2018-01-01 Automated detection of adverse drug reactions from social media posts with machine learning / I.S. Alimova, E. Tutubalina // Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).— 2018.— V.10716 LNCS.— P.3-15 [doi] 0 0.90(2017), 0.67(2016), 0.37(2015), 0.42(2014), 0.49(2013), 0.49(2012), 0.49(2011) Q2(2017), Q3(2016), Q3(2015), Q3(2014), Q3(2013), Q3(2012), Q3(2011)
2017-11-01 Using semantic analysis of texts for the identification of drugs with similar therapeutic effects / E. Tutubalina, Z.S. Miftahutdinov, R. Nugmanov, T. Madzhidov, S. Nikolenko, I.S. Alimova, A. Tropsha // Russian Chemical Bulletin.— 2017.— V.66.— Is.11.— P.2180-2189 [doi] 0 0.60(2016), 0.62(2015), 0.47(2014), 0.45(2013), 0.28(2012), 0.28(2011) Q3(2016), Q3(2015), Q3(2014), Q3(2013), Q4(2012), Q3(2011)
2017-01-01 Automated prediction of demographic information from medical user reviews / E. Tutubalina, S. Nikolenko // Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).— 2017.— V.10089 LNAI.— P.174-184 [doi] 6 0.90(2017), 0.67(2016), 0.37(2015), 0.42(2014), 0.49(2013), 0.49(2012), 0.49(2011) Q2(2017), Q3(2016), Q3(2015), Q3(2014), Q3(2013), Q3(2012), Q3(2011)
2017-01-01 Constructing aspect-based sentiment lexicons with topic modeling / E. Tutubalina, S. Nikolenko // Communications in Computer and Information Science.— 2017.— V.661.— P.208-220 [doi] 2 0.39(2017), 0.31(2016), 0.15(2015), 0.13(2014), 0.13(2013), 0.14(2012), 0.16(2011) Q3(2017), Q4(2016), Q4(2015), Q4(2014), Q4(2013), Q4(2012), Q4(2011)
2017-01-01 Demographic prediction based on user reviews about medications / E. Tutubalina, S. Nikolenko // Computacion y Sistemas.— 2017.— V.21.— Is.2.— P.227-241 [doi] 3 0.60(2017), 0.45(2016), 0.43(2015), 0.20(2014), 0.26(2013) Q3(2017), Q3(2016), Q3(2015), Q4(2014), Q4(2013)
2017-01-01 Identifying disease-related expressions in reviews using conditional random fields / Z.S. Miftahutdinov, E. Tutubalina, A.E. Tropsha, A. Tropsha // Komp'juternaja Lingvistika i Intellektual'nye Tehnologii.— 2017.— V.1.— Is.16.— P.155-166 8
2017-01-01 Combination of Deep Recurrent Neural Networks and Conditional Random Fields for Extracting Adverse Drug Reactions from User Reviews / E. Tutubalina, S. Nikolenko // Journal of Healthcare Engineering.— 2017.— V.2017 [doi] 4 1.21(2017), 1.12(2016), 1.12(2015), 1.01(2014), 0.84(2013), 0.80(2012) Q3(2017), Q3(2016), Q3(2015), Q3(2014), Q3(2013), Q3(2012)
2017-01-01 KFU at CLEF eHealth 2017 Task 1: ICD-10 coding of English death certificates with recurrent neural networks / Z.S. Miftahutdinov, E. Tutubalina // CEUR Workshop Proceedings.— 2017.— V.1866 2 0.31(2017), 0.23(2016) Q4(2017), Q4(2016)
2016-02-08 Mining complaints to improve a product: A study about problem phrase extraction from user reviews / E. Tutubalina // WSDM 2016 - Proceedings of the 9th ACM International Conference on Web Search and Data Mining.— 2016.— P.699 [doi] 0
2016-01-01 A sentiment-aware topic model for extracting failures from product reviews / E. Tutubalina // Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).— 2016.— V.9924.— P.37-45 [doi] 0 0.90(2017), 0.67(2016), 0.37(2015), 0.42(2014), 0.49(2013), 0.49(2012), 0.49(2011) Q2(2017), Q3(2016), Q3(2015), Q3(2014), Q3(2013), Q3(2012), Q3(2011)
2016-01-01 Identifying product failures from reviews in noisy data by distant supervision / E. Tutubalina // Communications in Computer and Information Science.— 2016.— V.649.— P.142-156 [doi] 0 0.39(2017), 0.31(2016), 0.15(2015), 0.13(2014), 0.13(2013), 0.14(2012), 0.16(2011) Q3(2017), Q4(2016), Q4(2015), Q4(2014), Q4(2013), Q4(2012), Q4(2011)
2016-01-01 Multiple features for multiword extraction: A learning-to-rank approach / E. Tutubalina, P.I. Braslavski // Komp'juternaja Lingvistika i Intellektual'nye Tehnologii.— 2016.— P.782-791 3
2015-01-01 SentiRuEval: Testing Object-oriented sentiment analysis systems in Russian / N.V. Loukachevitch, P.D. Blinov, E.V. Kotelnikov, Y.V. Rubtsova, V.V. Ivanov, E. Tutubalina // Komp'juternaja Lingvistika i Intellektual'nye Tehnologii.— 2015.— V.2.— Is.14.— P.3-15 12
2015-01-01 Target-based topic model for problem phrase extraction / E. Tutubalina // Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).— 2015.— V.9022.— P.271-277 1 0.90(2017), 0.67(2016), 0.37(2015), 0.42(2014), 0.49(2013), 0.49(2012), 0.49(2011) Q2(2017), Q3(2016), Q3(2015), Q3(2014), Q3(2013), Q3(2012), Q3(2011)
2015-01-01 Dependency-based problem phrase extraction from user reviews of products / E. Tutubalina // Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).— 2015.— V.9302.— P.199-206 [doi] 3 0.90(2017), 0.67(2016), 0.37(2015), 0.42(2014), 0.49(2013), 0.49(2012), 0.49(2011) Q2(2017), Q3(2016), Q3(2015), Q3(2014), Q3(2013), Q3(2012), Q3(2011)
2015-01-01 Inferring sentiment-based priors in topic models / E. Tutubalina, S. Nikolenko // Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).— 2015.— V.9414.— P.92-104 [doi] 4 0.90(2017), 0.67(2016), 0.37(2015), 0.42(2014), 0.49(2013), 0.49(2012), 0.49(2011) Q2(2017), Q3(2016), Q3(2015), Q3(2014), Q3(2013), Q3(2012), Q3(2011)
2015-01-01 A supervised approach for SentiRuEval task on sentiment analysis of tweets about telecom and financial companies / E. Tutubalina, M.A. Zagulova, V.V. Ivanov, V.A. Malykh // Komp'juternaja Lingvistika i Intellektual'nye Tehnologii.— 2015.— V.2.— Is.14.— P.65-75 0
2015-01-01 Extracting aspects, sentiment and categories of aspects in user reviews about restaurants and cars / V.V. Ivanov, E. Tutubalina, N.R. Mingazov, I.S. Alimova // Komp'juternaja Lingvistika i Intellektual'nye Tehnologii.— 2015.— V.2.— Is.14.— P.22-33 4
2014-01-01 Clause-based approach to extracting problem phrases from user reviews of products / V.V. Ivanov, E. Tutubalina // Communications in Computer and Information Science.— 2014.— V.436.— P.229-236 [doi] 5 0.39(2017), 0.31(2016), 0.15(2015), 0.13(2014), 0.13(2013), 0.14(2012), 0.16(2011) Q3(2017), Q4(2016), Q4(2015), Q4(2014), Q4(2013), Q4(2012), Q4(2011)

November 19, 2017 at 14:46. Ramil Nugmanov