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Research Outputs 2002 2019

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Conference proceeding contribution
2019

Which pathways lead to success? Transformation models and change-point detection for the early identification of students at risk

Manuguerra, M. & Sofronov, G., 2019, Proceedings of the 34th International Workshop on Statistical Modelling: Volume II. Meira-Machado, L. & Soutinho, G. (eds.). Guimaraes, Portugal, Vol. 2. p. 212-215 4 p.

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionResearchpeer-review

student
learning
detection
methodology
modeling

Анализ выживаемости слоевищ Evernia prunastri (L.) Ach.

Suetina, Y. G., Dmitrieva, S. V., Trubyanov, A. B., Sofronov, G., Ivanov, S. M. & Glotov, N. V., 2019, Современные проблемы медицины и естественных наук: Сборник статей Международной научной конференции. Yoshkar-Ola, Russia: Mari State University, p. 163-164 2 p.

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionResearch

2017

An improved hybrid algorithm for multiple change-point detection in array CGH data

Sofronov, G. Y., Polushina, T. V. & Jayawardana, M. W., 2017, 22nd International Congress on Modelling and Simulation. Syme, G., Hatton MacDonald, D., Fulton, B. & Piantadosi, J. (eds.). mssanz.org.au: Modelling & Simulation Society Australia & New Zealand, p. 508-514 7 p.

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionResearchpeer-review

Open Access
Entropy
Genes
Aberrations
Gene expression
Statistical methods

Binary segmentation methods for identifying boundaries of spatial domains

Raveendran, N. & Sofronov, G., 2017, Communication Papers of the 2017 Federated Conference on Computer Science and Information Systems (FedCSIS). Ganzha, M. & Maciaszek, L. (eds.). Poland: Polskie Towarzystwo Informatyczne, Vol. 13. p. 95-102 8 p. (Annals of computer science and information systems; vol. 13). (Annals of computer science and information systems).

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionResearchpeer-review

Epidemiology
Crime
Population Genetics

Change-point detection in time series data via the cross-entropy method

Sofronov, G. & Ma, L., 2017, 22nd International Congress on Modelling and Simulation. Syme, G., Hatton MacDonald, D., Fulton, B. & Piantadosi, J. (eds.). mssanz.org.au: Modelling & Simulation Society Australia & New Zealand, p. 195-201 7 p.

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionResearchpeer-review

Open Access
Time series
Entropy
Time series analysis
Geology
Computational methods

Анализ пространственного распределения растений в ценопопуляциях микровидов манжетки (Alchemilla vulgaris L.s.l.)

Zhukova, O. V., Glotov, N. V. & Sofronov, G. Y., 2017, Проблемы популяционной биологии: Материалы XII Всероссийского популяционного семинара памяти Николая Васильевича Глотова (1939–2016). Russia: Mari State University, p. 96-98 3 p.

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionResearch

Выживаемость и пути онтогенеза слоевищ эпифитного лишайника эвернии сливовой (Evernia prunastri (L.) Ach.)

Suetina, Y. G., Dmitrieva, S. V., Trubyanov, A. B., Sofronov, G. Y., Ivanov, S. M. & Glotov, N. V., 2017, Проблемы популяционной биологии: Материалы XII Всероссийского популяционного семинара памяти Николая Васильевича Глотова (1939–2016). Russia: Mari State University, p. 220-222 3 p.

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionResearch

Регрессионная модель для упорядоченных классов и ее применение при анализе онтогенетической структуры популяций

Ivanov, S. M., Sofronov, G. Y., Suetina, Y. G. & Ryzhova, L. V., 2017, Проблемы популяционной биологии: Материалы XII Всероссийского популяционного семинара памяти Николая Васильевича Глотова (1939–2016). Russia: Mari State University, p. 106-108 3 p.

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionResearch

2016

A Cross-entropy method for change-point detection in four-letter DNA sequences

Sofronov, G. & Polushina, T., 2016, 2016 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology: proceedings. Piscataway, NJ: Institute of Electrical and Electronics Engineers, p. 1-6 6 p.

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionResearchpeer-review

DNA sequences
Entropy
Bioinformatics
Genes

Разнообразие микровидов манжетки (Alchemilla vulgaris L.s.l.) в пределах местообитания

Zhukova, O. V., Glotov, N. V. & Sofronov, G., 2016, Современные проблемы медицины и естественных наук: Сборник статей международной научной конференции. Vol. 5. p. 44-46 3 p.

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionResearchpeer-review

Open Access
File
2015

Analysis of ontogenetic spectra of populations of plants and lichens via ordinal regression

Sofronov, G. Y., Glotov, N. V. & Ivanov, S. M., 2015, Symposium on Biomathematics, SYMOMATH 2014: AIP Conference Proceedings. Götz, T. & Suryanto, A. (eds.). Melville, NY: American Institute of Physics, Vol. 1651. p. 118-127 10 p.

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionResearchpeer-review

lichens
regression analysis
statistical analysis
proportion
estimates

Statistical analysis of spatial distribution in populations of microspecies of Alchemilla L.

Sofronov, G. Y., Glotov, N. V. & Zhukova, O. V., 2015, Proceedings of the 30th International Workshop on Statistical Modelling. Friedl, H. & Wagner, H. (eds.). Linz, Austria: Statistical Modelling Society, Vol. 2. p. 259-262 4 p.

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionResearch

Alchemilla
statistical analysis
spatial distribution
2014

Change-point detection in binary Markov DNA sequences by the cross-entropy method

Polushina, T. & Sofronov, G., 21 Oct 2014, 2014 Federated Conference on Computer Science and Information Systems, FedCSIS 2014. Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE), Vol. 2. p. 471-478 8 p. 6933053. (ACSIS-Annals of Computer Science and Information Systems; vol. 2).

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionResearchpeer-review

Binary sequences
DNA
Entropy
Seismology
Speech processing
2013

A hybrid algorithm for spatial small area estimation under models with complex contiguity

Sofronov, G., 2013, 2013 IEEE Symposium on Differential Evolution (SDE 2013). Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE), p. 25-30 6 p. 6601438

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionResearchpeer-review

Farms
Entropy
Economics
Monte Carlo simulation

A hybrid genetic algorithm for change-point detection in binary biomolecular sequences

Polushina, T. V. & Sofronov, G. Y., 2013, IASTED Multiconferences - Proceedings of the IASTED International Conference on Artificial Intelligence and Applications, AIA 2013. Klement, E. P., Borutzky, W., Fahringer, T., Hamza, M. H. & Uskov, V. (eds.). Calgary, AB: ACTA Press, p. 1-8 8 p.

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionResearchpeer-review

Binary sequences
DNA
Genes
Genetic algorithms
Seismology

Evaluating optimal stopping rules in the multiple best choice problem using the cross-entropy method

Sofronov, G. Y. & Polushina, T. V., 2013, IASTED Multiconferences - Proceedings of the IASTED International Conference on Modelling, Identification and Control, MIC 2013. Klement, E. P., Borutzky, W., Hamza, M. H. & Uskov, V. (eds.). Calgary, AB: ACTA Press, p. 205-212 8 p.

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionResearchpeer-review

Optimal Stopping Rule
Cross-entropy Method
Decision theory
Entropy
Experiments

GAMLSS and extended Cross-Entropy method to detect multiple change-points in DNA read count data

Priyadarshana, M. W. J. R. & Sofronov, G., 2013, Proceedings of the 28th International Workshop on Statistical Modelling. Muggeo V. M. R, Capursi, V., Boscaino, G. & Lovison, G. (eds.). Palermo, Italy: Università di Palermo, Vol. 1. p. 453-457 5 p.

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionResearchpeer-review

DNA
Entropy
Genes

Monte Carlo methods in spatio-temporal regression modeling of migration in the EU

Manuguerra, M., Sofronov, G., Tani, M. & Heller, G., 2013, Proceedings of the 2013 IEEE Conference on Computational Intelligence for Financial Engineering and Economics, CIFEr 2013 - 2013 IEEE Symposium Series on Computational Intelligence, SSCI 2013. Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE), p. 128-134 7 p. 6611708

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionResearchpeer-review

Monte Carlo methods
Markov processes
Personnel
Economics
Monte Carlo method

Кoррeляциoннaя структурa билaтeрaльных признaкoв

Trubyanov, A. B., Sofronov, G. Y. & Glotov, N. V., 2013, Principles and methods of biodiversity conservation: proceedings of the Fifth International Research Conference. Voskresenskaya, O. L. & Zhukova, L. A. (eds.). Yoshkar-Ola, Russia: Mari State University, Vol. 2. p. 208-211 4 p.

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionResearchpeer-review

Примeнeниe мeтoдa глaвных кoмпoнeнт при aнaлизe oнтoгeнeтичeских спeктрoв пoпуляций

Ivanov, S. M., Sofronov, G. Y. & Glotov, N. V., 2013, Principles and methods of biodiversity conservation: proceedings of the Fifth International Research Conference. Voskresenskaya, O. L. & Zhukova, L. A. (eds.). Yoshkar-Ola, Russia: Mari State University, Vol. 2. p. 197-202 6 p.

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionResearchpeer-review

2012

A modified cross-entropy method for detecting change-points in the Sri-Lankan stock market

Priyadarshana, M. & Sofronov, G. Y., 2012, Proceedings of the IASTED International Conference on Engineering and Applied Science, EAS 2012. Chen, B. M., Khan, M. T. & Tan, K-K. (eds.). Calgary, Canada: ACTA Press, p. 319-326 8 p.

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionResearchpeer-review

Time series
Entropy
Economics
Financial markets
Costs

A modified cross entropy method for detecting multiple change points in DNA count data

Priyadarshana, M. & Sofronov, G., 2012, 2012 IEEE Congress on Evolutionary Computation, CEC 2012. Piscataway, N.J: Institute of Electrical and Electronics Engineers (IEEE), p. 1-8 8 p. 6256470

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionResearchpeer-review

Cross-entropy Method
Count Data
Change Point
DNA
Entropy

Sequential change-point detection via the Cross-Entropy method

Sofronov, G., Polushina, T. & Priyadarshana, M., 2012, 11th Symposium on Neural Network Applications in Electrical Engineering,NEUREL 2012 - Proceedings. Piscataway, N.J.: Institute of Electrical and Electronics Engineers (IEEE), p. 185-188 4 p. 6420004

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionResearchpeer-review

Climatology
Speech processing
entropy
Fault detection
Image processing

The Cross-Entropy method and multiple change-points detection in zero-inflated DNA read count data

Priyadarshana, W. J. R. M. & Sofronov, G., 2012, Proceedings of the 4th International Conference on Computational Methods: ICCM 2012. Gu, Y. & Saha, S. C. (eds.). Brisbane: Queensland University of Technology, p. 1-8 8 p.

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionResearchpeer-review

DNA
Entropy
Processing
Statistical Models
2011

Change-point detection in biological sequences via genetic algorithm

Polushina, T. & Sofronov, G., 2011, 2011 IEEE Congress of Evolutionary Computation, CEC 2011. Piscataway, N.J.: Institute of Electrical and Electronics Engineers (IEEE), p. 1966-1971 6 p. 5949856

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionResearchpeer-review

Change-point Detection
Change Point
Genes
Genetic algorithms
Genetic Algorithm

Change-point modelling in biological sequences via the bayesian adaptive independent sampler

Sofronov, G., 2011, Computer communication and management: selected, peer reviewed papers from the 2011 International Conference on Computer Communication and Management (ICCCM 2011), May 2-3, Sydney Australia. Ting, Z. (ed.). Sydney: IACSIT Press, p. 122-126 5 p. (International Proceedings of Computer Science and Information Technology).

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionResearchpeer-review

Seismology
Speech processing
Fault detection
Markov processes
Image processing
2010

Spatial small area estimation: a comparison of Non-parametric EBLUP and M-quantile GWR models

Sofronov, G., 2010, International Workshop on Statistical Modelling. Adrian W. Bowman (ed.). Glasgow, UK: The University of Glasgow, p. 509-514 6 p.

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionResearchpeer-review

2009

Multiple Best Choice Problems

Nikolaev, M., Sofronov, G. & Polushina, T., 2009, The Proceedings of the second International Workshop on Sequential Methodologies.

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionResearch

2008

The generalized gibbs sampler and the neighborhood sampler

Keith, J., Sofronov, G. & Kroese, D., 2008, Monte Carlo and Quasi-Monte Carlo methods 2006. Keller, A., Heinrich, S. & Niederreiter, H. (eds.). Berlin: Springer, Springer Nature, p. 537-547 11 p.

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionResearchpeer-review

2007

Bayesian inference in estimation of distribution algorithms

Gallagher, M., Wood, I., Keith, J. & Sofronov, G., 2007, 2007 IEEE Congress on Evolutionary Computation, CEC 2007. Piscataway, N.J: Institute of Electrical and Electronics Engineers (IEEE), p. 127-133 7 p. 4424463

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionResearchpeer-review

Open Access
File
Bayesian inference
Maximum likelihood
Maximum Likelihood
Cross-entropy Method
Probabilistic Modeling

Identifying change-points in biological sequences via sequential importance sampling

Sofronov, G. Y., Evans, G. E., Keith, J. M. & Kroese, D. P., 2007, MODSIM 2007 International congress on Modelling and Simulation: Land, Water and Environmental Management: Integrated Systems for Sustainability. Oxley, L. & Kulasiri, D. (eds.). Christchurch, NZ: Modelling & Simulation Society Australia & New Zealand, p. 2917-2923 7 p.

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionResearchpeer-review