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Gintautas Dzemyda Vis

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*2009
27EEGintautas Dzemyda, Leonidas Sakalauskas: Optimization and Knowledge-Based Technologies. Informatica, Lith. Acad. Sci. 20(2): 165-172 (2009)
26EERasa Karbauskaite, Gintautas Dzemyda: Topology Preservation Measures in the Visualization of Manifold-Type Multidimensional Data. Informatica, Lith. Acad. Sci. 20(2): 235-254 (2009)
2008
25EESergejus Ivanikovas, Gintautas Dzemyda, Viktor Medvedev: Large Datasets Visualization with Neural Network Using Clustered Training Data. ADBIS 2008: 143-152
24EEPovilas Treigys, Gintautas Dzemyda, Valerijus Barzdziukas: Automated Positioning of Overlapping Eye Fundus Images. ICCS (1) 2008: 770-779
23EEPovilas Treigys, Vydunas Saltenis, Gintautas Dzemyda, Valerijus Barzdziukas, Alvydas Paunksnis: Automated Optic Nerve Disc Parameterization. Informatica, Lith. Acad. Sci. 19(3): 403-420 (2008)
2007
22EESergejus Ivanikovas, Viktor Medvedev, Gintautas Dzemyda: Parallel Realizations of the SAMANN Algorithm. ICANNGA (2) 2007: 179-188
21EEGintautas Dzemyda, Olga Kurasova: Dimensionality Problem in the Visualization of Correlation-Based Data. ICANNGA (2) 2007: 544-553
20EEOlga Kurasova, Gintautas Dzemyda, Alfonsas Vainoras: Parameter System for Human Physiological Data Representation and Analysis. IbPRIA (1) 2007: 209-216
19 Gintautas Dzemyda, Olga Kurasova, Viktor Medvedev: Dimension Reduction and Data Visualization Using Neural Networks. Emerging Artificial Intelligence Applications in Computer Engineering 2007: 25-49
18EEJolita Bernataviciene, Gintautas Dzemyda, Virginijus Marcinkevicius: Conditions for Optimal Efficiency of Relative MDS. Informatica, Lith. Acad. Sci. 18(2): 187-202 (2007)
2006
17EEViktor Medvedev, Gintautas Dzemyda: Retraining the Neural Network for Data Visualization. AIAI 2006: 27-34
16EEViktor Medvedev, Gintautas Dzemyda: Speed Up of the SAMANN Neural Network Retraining. ICAISC 2006: 94-103
15EEValentina 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
14EEGintautas Dzemyda, Olga Kurasova: Heuristic approach for minimizing the projection error in the integrated mapping. European Journal of Operational Research 171(3): 859-878 (2006)
13EEJolita 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)
2005
12 Romanas Tumasonis, Gintautas Dzemyda: Analysis of the Statistical Characteristics in Mining of Frequent Sequences. Intelligent Information Systems 2005: 377-386
11 Gintautas Dzemyda, Jolita Bernataviciene, Olga Kurasova, Virginijus Marcinkevicius: Minimization of the Mapping Error using Coordinate Descent. WSCG (Short Papers) 2005: 169-172
10EEGintautas Dzemyda: Multidimensional data visualization in the statistical analysis of curricula. Computational Statistics & Data Analysis 49(1): 265-281 (2005)
2004
9EERomanas Tumasonis, Gintautas Dzemyda: The Probabilistic Algorithm for Mining Frequent Sequences. ADBIS (Local Proceedings) 2004
8EEGintautas Dzemyda, Olga Kurasova: Parallelization of the SOM-Based Integrated Mapping. ICAISC 2004: 178-183
7EEGintautas Dzemyda: Visual Analysis of the Multidimensional Meteorological Data. International Conference on Computational Science 2004: 652-656
2003
6EEGintautas Dzemyda, Olga Kurasova: Visualization of Multidimensional Data Taking into Account the Learning Flow of the Self-Organizing Neural Network. WSCG 2003
2002
5 Gintautas Dzemyda: Method of Visual Data Mining for the Analysis of Curricula. BalticDB&IS 2002: 201-212
4EEGintautas Dzemyda, Olga Kurasova: Comparative Analysis of the Graphical Result Presentation in the SOM Software. Informatica, Lith. Acad. Sci. 13(3): 275-286 (2002)
3EEVydunas Saltenis, Gintautas Dzemyda, Vytautas Tiesis: Quantitative Forecasting and Assessment Models in the State Education System. Informatica, Lith. Acad. Sci. 13(4): 485-500 (2002)
2001
2EEGintautas 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)
1EEGintautas 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

1Valerijus Barzdziukas [23] [24]
2Jolita Bernataviciene [11] [13] [18]
3Valentina Dagiene [15]
4Sergejus Ivanikovas [22] [25]
5Rasa Karbauskaite [26]
6Olga Kurasova [4] [6] [8] [11] [13] [14] [19] [20] [21]
7Virginijus Marcinkevicius [11] [13] [18]
8Viktor Medvedev [16] [17] [19] [22] [25]
9Alvydas Paunksnis [23]
10Tomas Petkus [2]
11Leonidas Sakalauskas [27]
12Vydunas Saltenis [3] [23]
13Mifodijus Sapagovas [15]
14Vytautas Tiesis [1] [3]
15Povilas Treigys [23] [24]
16Romanas Tumasonis [9] [12]
17Alfonsas Vainoras [20]

Colors in the list of coauthors

Copyright © Tue Nov 3 08:52:44 2009 by Michael Ley (ley@uni-trier.de)