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Gintautas Dzemyda
2010 – today
- 2013
[j20]Julija Pragarauskaite, Gintautas Dzemyda: Markov Models in the Analysis of Frequent Patterns in Financial Data. Informatica, Lith. Acad. Sci. 24(1): 87-102 (2013)
[e2]Albertas Caplinskas, Gintautas Dzemyda, Audrone Lupeikiene, Olegas Vasilecas (Eds.): Databases and Information Systems VII - Selected Papers from the Tenth International Baltic Conference, DB&IS 2012, Vilnius, Lithuania, July 8-11, 2012. Frontiers in Artificial Intelligence and Applications 249, IOS Press 2013, ISBN 978-1-61499-160-1- 2012
[j19]Albertas Caplinskas, Gintautas Dzemyda, Ferenc Kiss, Audrone Lupeikiene: Processing of Undesirable Business Events in Advanced Production Planning Systems. Informatica, Lith. Acad. Sci. 23(4): 563-579 (2012)
[e1]Albertas Caplinskas, Gintautas Dzemyda, Audrone Lupeikiene, Olegas Vasilecas (Eds.): Local Proceedings and Materials of Doctoral Consortium of the Tenth International Baltic Conference on Databases and Information Systems, Vilnius, Lithuania, July 8-11, 2012. CEUR Workshop Proceedings 924, CEUR-WS.org 2012- 2011
[j18]Arturas Kaklauskas, Edmundas Kazimieras Zavadskas, Marko Seniut, Gintautas Dzemyda, V. Stankevic, C. Simkevicius, T. Stankevic, R. Paliskiene, A. Matuliauskaite, S. Kildiene, L. Bartkiene, Sergejus Ivanikovas, V. Gribniak: Web-based Biometric Computer Mouse Advisory System to Analyze a User's Emotions and Work Productivity. Eng. Appl. of AI 24(6): 928-945 (2011)
[j17]Arturas Kaklauskas, Edmundas Kazimieras Zavadskas, Andrejus Pruskus, Andrejus Vlasenko, L. Bartkiene, R. Paliskiene, L. Zemeckyte, V. Gerstein, Gintautas Dzemyda, G. Tamulevicius: Recommended Biometric Stress Management System. Expert Syst. Appl. 38(11): 14011-14025 (2011)
[j16]Gintautas Dzemyda, Leonidas Sakalauskas: Large-Scale Data Analysis Using Heuristic Methods. Informatica, Lith. Acad. Sci. 22(1): 1-10 (2011)
[j15]Viktor Medvedev, Gintautas Dzemyda, Olga Kurasova, Virginijus Marcinkevicius: Efficient Data Projection for Visual Analysis of Large Data Sets Using Neural Networks. Informatica, Lith. Acad. Sci. 22(4): 507-520 (2011)
[c16]Gintautas Dzemyda, Virginijus Marcinkevicius, Viktor Medvedev: Large-Scale Multidimensional Data Visualization: A Web Service for Data Mining. ServiceWave 2011: 14-25- 2010
[j14]Vincentas Veikutis, Gintautas Dzemyda, Povilas Treigys, Kristina Morkunaite, Algidas Basevicius, Saulius Lukosevicius, Gintare Sakalyte, Antanas Sederevicius: Analysis of Thermovisual Data of the Radio-Frequency Impact on the Myocardium Damage. Informatica, Lith. Acad. Sci. 21(3): 455-470 (2010)
2000 – 2009
- 2009
[j13]Gintautas Dzemyda, Leonidas Sakalauskas: Optimization and Knowledge-Based Technologies. Informatica, Lith. Acad. Sci. 20(2): 165-172 (2009)
[j12]Rasa Karbauskaite, Gintautas Dzemyda: Topology Preservation Measures in the Visualization of Manifold-Type Multidimensional Data. Informatica, Lith. Acad. Sci. 20(2): 235-254 (2009)- 2008
[j11]Povilas Treigys, Vydunas Saltenis, Gintautas Dzemyda, Valerijus Barzdziukas, Alvydas Paunksnis: Automated Optic Nerve Disc Parameterization. Informatica, Lith. Acad. Sci. 19(3): 403-420 (2008)
[c15]Sergejus Ivanikovas, Gintautas Dzemyda, Viktor Medvedev: Large Datasets Visualization with Neural Network Using Clustered Training Data. ADBIS 2008: 143-152
[c14]Povilas Treigys, Gintautas Dzemyda, Valerijus Barzdziukas: Automated Positioning of Overlapping Eye Fundus Images. ICCS (1) 2008: 770-779- 2007
[j10]Jolita Bernataviciene, Gintautas Dzemyda, Virginijus Marcinkevicius: Conditions for Optimal Efficiency of Relative MDS. Informatica, Lith. Acad. Sci. 18(2): 187-202 (2007)
[c13]Olga Kurasova, Gintautas Dzemyda, Alfonsas Vainoras: Parameter System for Human Physiological Data Representation and Analysis. IbPRIA (1) 2007: 209-216
[c12]Sergejus Ivanikovas, Viktor Medvedev, Gintautas Dzemyda: Parallel Realizations of the SAMANN Algorithm. ICANNGA (2) 2007: 179-188
[c11]Gintautas Dzemyda, Olga Kurasova: Dimensionality Problem in the Visualization of Correlation-Based Data. ICANNGA (2) 2007: 544-553
[p1]Gintautas Dzemyda, Olga Kurasova, Viktor Medvedev: Dimension Reduction and Data Visualization Using Neural Networks. Emerging Artificial Intelligence Applications in Computer Engineering 2007: 25-49- 2006
[j9]Gintautas Dzemyda, Olga Kurasova: Heuristic approach for minimizing the projection error in the integrated mapping. European Journal of Operational Research 171(3): 859-878 (2006)
[j8]Jolita Bernataviciene, Gintautas Dzemyda, Olga Kurasova, Virginijus Marcinkevicius: Optimal decisions in combining the SOM with nonlinear projection methods. European Journal of Operational Research 173(3): 729-745 (2006)
[j7]Viktor Medvedev, Gintautas Dzemyda: Optimization of the Local Search in the Training for SAMANN Neural Network. J. Global Optimization 35(4): 607-623 (2006)
[c10]Viktor Medvedev, Gintautas Dzemyda: Speed Up of the SAMANN Neural Network Retraining. ICAISC 2006: 94-103
[c9]Viktor Medvedev, Gintautas Dzemyda: Retraining the Neural Network for Data Visualization. AIAI 2006: 27-34
[c8]Valentina Dagiene, Gintautas Dzemyda, Mifodijus Sapagovas: Evolution of the Cultural-Based Paradigm for Informatics Education in Secondary Schools - Two Decades of Lithuanian Experience. ISSEP 2006: 1-12- 2005
[j6]Gintautas Dzemyda: Multidimensional data visualization in the statistical analysis of curricula. Computational Statistics & Data Analysis 49(1): 265-281 (2005)
[c7]Romanas Tumasonis, Gintautas Dzemyda: Analysis of the Statistical Characteristics in Mining of Frequent Sequences. Intelligent Information Systems 2005: 377-386
[c6]Gintautas Dzemyda, Jolita Bernataviciene, Olga Kurasova, Virginijus Marcinkevicius: Minimization of the Mapping Error using Coordinate Descent. WSCG (Short Papers) 2005: 169-172- 2004
[c5]Romanas Tumasonis, Gintautas Dzemyda: The Probabilistic Algorithm for Mining Frequent Sequences. ADBIS (Local Proceedings) 2004
[c4]Gintautas Dzemyda, Olga Kurasova: Parallelization of the SOM-Based Integrated Mapping. ICAISC 2004: 178-183
[c3]Gintautas Dzemyda: Visual Analysis of the Multidimensional Meteorological Data. International Conference on Computational Science 2004: 652-656- 2003
[j5]Gintautas Dzemyda, Vydunas Saltenis, Vytautas Tiesis: Forecasting Models in the State Education System. Informatics in Education 2(1): 3-14 (2003)
[c2]Gintautas Dzemyda, Olga Kurasova: Visualization of Multidimensional Data Taking into Account the Learning Flow of the Self-Organizing Neural Network. WSCG 2003- 2002
[j4]Gintautas Dzemyda, Olga Kurasova: Comparative Analysis of the Graphical Result Presentation in the SOM Software. Informatica, Lith. Acad. Sci. 13(3): 275-286 (2002)
[j3]Vydunas Saltenis, Gintautas Dzemyda, Vytautas Tiesis: Quantitative Forecasting and Assessment Models in the State Education System. Informatica, Lith. Acad. Sci. 13(4): 485-500 (2002)
[c1]Gintautas Dzemyda: Method of Visual Data Mining for the Analysis of Curricula. BalticDB&IS 2002: 201-212- 2001
[j2]Gintautas Dzemyda, Tomas Petkus: Application of Computer Network to Solve the Complex Applied Multiple Criteria Optimization Problems. Informatica, Lith. Acad. Sci. 12(1): 45-60 (2001)
[j1]Gintautas Dzemyda, Vytautas Tiesis: Visualisation of Multidimensional Objects and the Socio-Economical Impact to Activity in EC RTD Databases. Informatica, Lith. Acad. Sci. 12(2): 239-262 (2001)
Coauthor Index
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last updated on 2013-10-02 11:17 CEST by the dblp team



