VU Matematikos ir informatikos instituto autoriaus 'Šarūnas Raudys' publikacijų sąrašas
pagal Lietuvos akademinių bibliotekų tinklo (LABT) publikacijų bazes VUB [nuo 2011 m. iki dabar] ir LMAVB [iki 2010 m. imtinai]:

Eil. Nr. Publikacija
1Raudys, Šarūnas; Raudys, Aistis; Pabarškaitė, Židrina. Dynamically controlled length of training data for sustainable portfolio selection // Sustainability. Basel : MDPI AG. ISSN 2071-1050. 2018, vol. 10, no 6, art. no 1911, p. 1-10. DOI: 10.3390/su10061911.
2Plikynas, Darius; Raudys, Aistis; Raudys, Šarūnas. Agent-based modelling of excitation propagation in social media groups // Journal of experimental & theoretical artificial intelligence. Abingdon, Oxfordshire : Taylor & Francis. ISSN 0952-813X. eISSN 1362-3079. 2015, Vol. 27, No. 4, p. 373-388. DOI: 10.1080/0952813X.2014.954631.
3Raudys, Šarūnas; Valaitis, Vytautas; Pabarškaitė, Židrina; Biziulevičienė, Genė. A price we pay for inexact dimensionality reduction // Bioinformatics and Biomedical Engineering : Third International Conference, IWBBIO 2015, Granada, Spain, April 15-17, 2015. Proceedings, Part II. Ser.: Lecture Notes in Computer Science. Vol. 9044. ISSN 0302-9743. Cham : Springer International Publishing, 2015. ISBN 9783319164793. eISBN 9783319164809. p. 289-300. DOI: 10.1007/978-3-319-16480-9_29.
4Raudys, Šarūnas; Fumera, Giorgio; Raudys, Aistis; Pillai, Ignazio. Sample size issues in the choice between the best classifier and fusion by trainable combiners // Intelligent data engineering and automated learning : IDEAL 2014 : 15th International Conference, Salamanca, Spain, September 10-12, 2014 : proceedings / editors : Corchado, E., Lozano, J.A., Quintián, H., Yin, H. - Book series: Lecture notes in computer science, Vol. 8669. ISSN 0302-974. Cham : Springer International Publishing, 2014. ISBN 9783319108407. p. 45-52. DOI: 10.1007/978-3-319-10840-7_6.
5Raudys, Šarūnas; Raudys, Aistis; Pabarškaitė, Židrina. Sustainable economy inspired large-scale feed-forward portfolio construction // Technological and economic development of economy = Ūkio technologinis ir ekonominis vystymas : Baltic journal on sustainability / Vilniaus Gedimino technikos universitetas. Vilnius : Technika. ISSN 2029-4913. 2014, vol. 20, no. 1, p. 79-96. DOI: 10.3846/20294913.2014.889773.
6Raudys, Šarūnas. Portfolio of automated trading systems: complexity and learning set size issues // IEEE transactions on neural networks and learning systems. New York : IEEE Computational Intelligence Society. ISSN 2162-237X. 2013, vol. 24, no. 3, p. 448-459. DOI: 10.1109/TNNLS.2012.2230405.
7Čerkasova, Natalja; Raudys, Šarūnas; Denisovas, Vitalijus. Pusiau empirinių robastinių algoritmų taikymas investicinio portfelio sudarymui = Semiempirical robust algorithm for investment portfolio formation // Computational Science and Techniques. Special Issue for Research Innovations Fundamentals. Klaipėda. ISSN 2029-9966. eISSN 2029-9966. 2013, vol. 1, no. 1, p. 30-35. Prieiga per internetą: <http://journals.ku.lt/index.php/CST/article/download/6/24> [žiūrėta 2017-01-11].
8Raudys, Šarūnas; Raudys, Aistis; Pabarškaitė, Židrina. Multi-agent system based portfolio management in prior-to-crisis and crisis period // Intelligent systems design and applications : 12th international conference, Kochi, India, November 27-29, 2012 : proceedings. New York : IEEE, 2012. ISBN 9781467351171. p. 279-284.
9Raudys, Šarūnas; Raudys, Aistis. Three decision making levels in portfolio management // CIFEr 2012 : IEEE conference on computational intelligence for financial engineering & economics, March 2012, New York, USA : proceedings. New York : IEEE, 2012. ISBN 9781467318037. p. 220-227. Prieiga per internetą: <http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=6327795> [žiūrėta 2013-11-12].
10Raudys, Šarūnas. Chaotišką pasaulį modeliuoja kompiuteriai // Spectrum. ISSN 1822-0347. 2011, nr. 1, p. 14-17. Prieiga per internetą: <http://naujienos.vu.lt/wp-content/uploads/2011/05/Spectrum_14.pdf> [žiūrėta 2018-01-08].
11Raudys, Šarūnas; Raudys, Aistis. High frequency trading portfolio optimisation: integration of financial and human factors // ISDA 2011 : Intelligent systems design and applications : 11th international conference, November 22-24, 2011 - Córdoba, Spain. Cordoba : IEEE, 2011. ISBN 9781457716751. p. 696-701.
12Raudys, Šarūnas; Arasimavičius, Justas; Biziulevičienė, Genė. Learning the Affinity Measure in Real and Artificial Immune Systems // Biomedical engineering and informatics, 2010 (BMEI '10) : 3rd International Conference, 16-18 October, Yantai, China : [proceedings], vol. 7. New York : IEEE, 2010. ISBN 9781424464975. p. 2904-2908. (International conference on biomedical engineering and informatics, ISSN 1948-2914). DOI: 10.1109/BMEI.2010.5639576.
13Raudys, Šarūnas; Raudys, Aistis. Pairwise costs in multiclass perceptrons // IEEE transactions on pattern analysis and machine intelligence. New York : IEEE Computer Society. ISSN 0162-8828. 2010, vol. 32, no. 7, p. 1324-1328. Prieiga per internetą: <http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5432217> [žiūrėta 2010-12-23].
14Kybartas, Rimantas; Baykan, Nurdan Akhan; Yilmaz, Nihat; Raudys, Šarūnas. Multiclass mineral recognition using similarity features and ensembles of pair-wise classifiers // Trends in applied intelligent systems : 23rd international conference on industrial engineering and other applications of applied intelligent systems, IEA/AIE 2010, Cordoba, Spain, June 1-4, 2010 : proceedings, Part II. - Series: Lecture Notes in Computer Science, Vol. 6097. Subseries: Lecture Notes in Artificial Intelligence. Berlin : Springer, 2010. ISBN 9783642130243. p. 47-56. DOI: 10.1007/978-3-642-13025-0_6.
15Raudys, Šarūnas; Kybartas, Rimantas; Zavadskas, Edmundas Kazimieras. Multicategory nets of single-layer perceptrons: complexity and sample-size issues // IEEE transactions on neural networks. New York : IEEE Computational Intelligence Society. ISSN 1045-9227. 2010, vol. 21, no. 5, p. 784-795. DOI: 10.1109/TNN.2010.2042173.
16Raudys, Šarūnas; Kybartas, Rimantas. Daugelio klasių klasifikavimas naudojant vienasluoksnius perceptronus = Multi-class classification with single layer perceptrons // Informacinės technologijos 2007 : konferencijos pranešimų medžiaga. Kaunas : Technologija. ISSN 1822-6337. 2007, p. 427-430.
17Raudys, Šarūnas; Mitašiūnas, Antanas. Multi-agent system approach to react to sudden environmental changes // Lecture notes in computer science: Machine learning and data mining in pattern recognition : 5th international conference, MLDM 2007, Leipzig, Germany, July 18-20, 2007: proceedings. ISSN 0302-9743. 2007, N 4571, p. 810-823. DOI: 10.1007/978-3-540-73499-4_61.
18Raudys, Šarūnas. Aging in artificial learning systems // Lecture notes in computer science. ISSN 0302-9743. 2007, vol. 4648, p. 263-372.
19Raudys, Šarūnas; Denisov, Vitalij; Bielskis, Antanas Andrius. A pool of classifiers by SLP: a multi-class case // Image analysis and recognition : third international conference, ICIAR 2006 : Póvoa de Varzim, Portugal, September 18-20, 2006 : proceedings. Part 2. Berlin : Springer, 2006. ISBN 9783540448945. eISBN 9783540448969. p. 47-56. (Lecture notes in computer science, ISSN 0302-9743, eISSN 1611-3349 ; vol. 4142). DOI: 10.1007/11867661_5.
20Raudys, Šarūnas; Zliobaitė, Indrė. The multi-agent system for prediction of financial time series // Lecture notes in artificial intelligence. ISSN 0302-9743. 2006, Vol. 4029, p. 653-662. DOI: 10.1007/11785231.
21Raudys, Šarūnas; Zliobaitė, Indrė. Prediction of commodity prices in rapidly changing environments // Lecture notes in computer science. ISSN 0302-9743. 2005, Vol. 3686, p. 154-163. DOI: 10.1007/11551188_17.
22Somorjai, Ray; Janeliūnas, Arūnas; Baumgartner, Richard; Raudys, Šarūnas. Comparison of two classification methodologies on a real-world biomedical problem // Lecture notes in computer science : [on line]. ISSN 1611-3349. 2002.
23Somorjai, Ray; Janeliūnas, Arūnas; Baumgartner, Richard; Raudys, Šarūnas. Comparison of two classification methodologies on a real-world biomedical problem // Structural, syntactic, and statistical pattern recognition : joint IAPR international workshops SSPR 2002 and SPR 2002, Windsor, Ontario, Canada, August 6-9, 2002 : proceedings. New York : Springer, 2002. ISBN 3540440119. p. 433-441.
24Raudys, Šarūnas. Statistical and neural classifiers : an integrated approach to design / Šarūnas Raudys. London : Springer, 2001. XXIII, 289 p. ISBN 1852332972.
25Raudys, Šarūnas; Saudargienė, Aušra; Povilonis, Edvardas. The bias evaluation in model selection // The 2nd international conference on neural networks and artificial intelligence, October 2-5, 2001, Minsk, Belarus : proceedings. Minsk : BSU, 2001. ISBN 9854455300. p. 32-38.