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ORCIDMikhail Alexandrov
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2020 – today
- 2024
[j8]Svetlana Popova, Mikhail Alexandrov, John Cardiff:
Stop-Word Lists in Keyphrase Extraction: Their Influence and Comparison. Computación y Sistemas (CyS) 28(3) (2024)- [j7]Svetlana Popova, Vera Danilova, Mikhail Alexandrov, John Cardiff:
Unsupervised Keyphrase Extraction: Ranking Step and Single-Word Phrase Problem. Computación y Sistemas (CyS) 28(3) (2024) - [j6]Bulat Shkanov, Mikhail Alexandrov:
Social Influence, Market Manipulators, Hardware and Software as New Factors for Cryptocurrency Pricing: A Survey. Computación y Sistemas (CyS) 28(3) (2024) - 2022
- [c39]Pavel Mogilev, Dinislam Kusegenov, Mikhail Alexandrov, John Cardiff, Olexiy Koshulko:
Modeling dynamics of cryptocurrency XRP using tweets, news, and GMDH-based algorithms. CSIT 2022: 559-563 - [c38]Darya Govorkova, Anna Boldyreva, Pavel Mogilev, Mikhail Alexandrov, Olexiy Koshulko:
Help to Autocar Insurance Companies: Forecast of Polices Sales on Dynamics of Search Queries. CSIT 2022: 564-567 - [c37]Elena Shushkevich, Mikhail Alexandrov, John Cardiff:
BERT-based Classifiers for Fake News Detection on Short and Long Texts with Noisy Data: A Comparative Analysis. TSD 2022: 263-274 - 2021
- [j5]Elena Shushkevich, Mikhail Alexandrov, John Cardiff:
Covid-19 Fake News Detection: A Survey. Computación y Sistemas 25(4) (2021) - [c36]Anna Boldyreva, Bulat Bayburin, Mikhail Alexandrov, Olexiy Koshulko, Pavel Mogilev:
Search Queries to Internet as a Tool for Mid-term Forecast of Cryptocurrencies (XRP, Waves, ETH) on GMDH-based models. CSIT (1) 2021: 375-379 - [c35]Elena Shushkevich, Mikhail Alexandrov, John Cardiff:
Detecting fake news about Covid-19 using classifiers from Scikit-learn. CSIT (1) 2021: 406-409 - [c34]Bulat Shkanov, Anna Zolotova, Mikhail Alexandrov, Olexiy Koshulko:
Express Diagnosis of COVID-19 on Cough Audiograms with Machine Learning Algorithms from Scikit-learn library and GMDH Shell tool. CSIT (1) 2021: 410-414 - 2020
- [j4]Griselda Areli Matias Mendoza, Yulia Ledeneva
, René Arnulfo García-Hernández, Mikhail Alexandrov, Ángel Hernández-Castañeda:
Ground Truth Spanish Automatic Extractive Text Summarization Bounds. Computación y Sistemas 24(3) (2020) - [c33]Anna Boldyreva, Mikhail Alexandrov, Olexiy Koshulko, Svetlana Popova:
Start of Epidemy in a City: Short-Term Forecast of Covid-19 with GMDH-Based Algorithms and Official Medical Statistics. CSIT (2) 2020: 5-8 - [c32]Pavel Mogilev, Anna Boldyreva, Mikhail Alexandrov, John Cardiff:
GMDH-based Models for Mid-term Forecast of Cryptocurrencies (on example of Waves). CSIT (2) 2020: 13-16
2010 – 2019
- 2019
- [c31]Bulat Shkanov, Mikhail Alexandrov:
Multiclass Classifiers for Processing Archives of Accidents in Manufacturing. CSIT (1) 2019: 187-190 - [c30]Svetoslav Zverev, Mikhail Alexandrov, Angels Catena, John Cardiff, Elena Shushkevich, Dmitry Stefanovskiy:
Classification of Schoolchildren on Professional Trajectories using Experience of Successful Specialists. CSIT (1) 2019: 215-219 - [c29]Svetlana Popova, Vera Danilova, Mikhail Alexandrov, John Cardiff:
Improving Keyphrase Extraction Using LL-Ranking. CSIT 2019: 567-578 - 2018
- [c28]Mikhail Alexandrov, Gabriella Skitalinskaya, John Cardiff, Olexiy Koshulko, Elena Shushkevich:
Classifiers for Yelp-Reviews Based on GMDH-Algorithms. CICLing (2) 2018: 412-430 - [c27]Liliya Akhtyamova, Mikhail Alexandrov, John Cardiff, Olexiy Koshulko:
Building Classifiers with GMDH for Health Social Networks (DB AskaPatient). CSIT (1) 2018: 45-49 - [c26]Liliya Akhtyamova, Mikhail Alexandrov, John Cardiff, Oleksiy Koshulko:
Opinion Mining on Small and Noisy Samples of Health-Related Texts. CSIT 2018: 379-390 - [c25]Angels Catena, Mikhail Alexandrov, Dmitry Stefanovskiy:
Simple Models for Assessment of Phrase Tonality. CSIT (1) 2018: 461-465 - 2017
- [c24]Liliya Akhtyamova, Mikhail Alexandrov, John Cardiff:
Review of trends in health social media analysis. CSIT (1) 2017: 413-416 - [c23]Liliya Akhtyamova, Mikhail Alexandrov, John Cardiff:
Adverse Drug Extraction in Twitter Data Using Convolutional Neural Network. DEXA Workshops 2017: 88-92 - [c22]Gabriella Skitalinskaya, Mikhail Alexandrov, John Cardiff:
Comparison of Two-Pass Algorithms for Dynamic Topic Modeling Based on Matrix Decompositions. MICAI (2) 2017: 27-43 - [c21]Dmitry Stefanovskiy, Mikhail Alexandrov, Angels Catena, Vera Danilova, Javier Tejada:
Courses Select Textbooks: Comparison of Two Methods. MICAI (2) 2017: 220-232 - 2016
- [c20]Javier Tejada, Mikhail Alexandrov, Gabriella Skitalinskaya, Dmitry Stefanovskiy:
Selection of Statistically Representative Subset from a Large Data Set. CIARP 2016: 476-483 - [c19]Anna Boldyreva, Mikhail Alexandrov, Olexiy Koshulko, Oleg Sobolevskiy:
Internet Queries as a Tool for Analysis of Regional Police Work and Forecast of Crimes in Regions. MICAI (1) 2016: 290-302 - [c18]Anna Boldyreva, Oleg Sobolevskiy, Mikhail Alexandrov, Vera Danilova:
Creating Collections of Descriptors of Events and Processes Based on Internet Queries. MICAI (1) 2016: 303-314 - [c17]Vera Danilova, Svetlana Popova, Mikhail Alexandrov:
Multilingual Protest Event Data Collection with GATE. NLDB 2016: 115-126 - 2015
- [c16]Mikhail Alexandrov, Vera Danilova, Xavier Blanco:
A Modified Tripartite Model for Document Representation in Internet Sociology. DEXA (2) 2015: 323-330 - 2014
- [c15]Vera Danilova, Mikhail Alexandrov, Xavier Blanco:
A Survey of Multilingual Event Extraction from Text. NLDB 2014: 85-88 - [c14]Olexiy Koshulko, Mikhail Alexandrov, Vera Danilova:
Forecasting Euro/Dollar Rate with Forex News. NLDB 2014: 148-153
2000 – 2009
- 2007
- [j3]Rudy Prabowo, Mike Thelwall, Mikhail Alexandrov:
Generating overview timelines for major events in an RSS corpus. J. Informetrics 1(2): 131-144 (2007) - [c13]Mikhail Alexandrov, Xavier Blanco, Natalia Ponomareva, Paolo Rosso:
Constructing Empirical Models for Automatic Dialog Parameterization. TSD 2007: 455-463 - 2006
- [c12]Davide Buscaldi, Paolo Rosso, Mikhail Alexandrov, Alfons Juan-Císcar:
Sense Cluster Based Categorization and Clustering of Abstracts. CICLing 2006: 547-550 - 2005
- [c11]Mikhail Alexandrov, Alexander F. Gelbukh, Paolo Rosso:
An Approach to Clustering Abstracts. NLDB 2005: 275-285 - [c10]Mikhail Alexandrov, Emilio Sanchis Arnal, Paolo Rosso:
Cluster Analysis of Railway Directory Inquire Dialogs. TSD 2005: 385-392 - 2004
- [j2]Mikhail Alexandrov, Xavier Blanco, Alexander F. Gelbukh, Pavel Makagonov:
Knowledge-poor Approach to Constructing Word Frequency Lists, with Example from Romance Languages. Proces. del Leng. Natural 33 (2004) - [c9]Alexander F. Gelbukh, Mikhail Alexandrov, Sang-Yong Han:
Detecting Inflection Patterns in Natural Language by Minimization of Morphological Model. CIARP 2004: 432-438 - [c8]Mikhail Alexandrov, Xavier Blanco, Pavel Makagonov:
Testing Word Similarity: Language Independent Approach with Examples from Romance. NLDB 2004: 229-241 - [c7]Pavel Makagonov, Mikhail Alexandrov, Alexander F. Gelbukh:
Clustering Abstracts Instead of Full Texts. TSD 2004: 129-136 - 2003
- [c6]Alexander F. Gelbukh, Mikhail Alexandrov, Ales Bourek, Pavel Makagonov:
Selection of Representative Documents for Clusters in a Document Collection. NLDB 2003: 120-126 - 2002
- [c5]Pavel Makagonov, Mikhail Alexandrov:
Empirical Formula for Testing Word Similarity and Its Application for Constructing a Word Frequency List. CICLing 2002: 425-432 - [c4]Pavel Makagonov, Mikhail Alexandrov:
Constructing Empirical Formulas for Testing Word Similarity by the Inductive Method of Model Self-Organization. PorTAL 2002: 239-248 - 2001
- [c3]Mikhail Alexandrov, Alexander F. Gelbukh, George Lozovoi:
Chi-Square Classifier for Document Categorization. CICLing 2001: 457-459 - 2000
- [j1]Mikhail Alexandrov, Andrew A. Lacis:
A new three-parameter cloud/aerosol particle size distribution based on the generalized inverse Gaussian density function. Appl. Math. Comput. 116(1-2): 153-165 (2000) - [c2]Mikhail Alexandrov, Alexander F. Gelbukh, Pavel Makagonov:
Evaluation of Thematic Structure of Multidisciplinary Documents and Document Flows. DEXA Workshop 2000: 125-132
1990 – 1999
- 1998
- [c1]Pavel Makagonov, Mikhail Alexandrov:
Analysis of the Contents of Educational Courses with Special Statistical and Graphical Methods. Teleteaching 1998: 679-684
Coauthor Index
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last updated on 2024-10-15 21:34 CEST by the dblp team
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