Gintautas Dzemyda

According to our database, Gintautas Dzemyda authored at least 72 papers between 1996 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Geometric multidimensional scaling: efficient approach for data dimensionality reduction.

Gintautas Dzemyda, Martynas Sabaliauskas

J. Glob. Optim., January, 2024

2023

Categorical Feature Encoding Techniques for Improved Classifier Performance when Dealing with Imbalanced Data of Fraudulent Transactions.

Dalia Breskuviene, Gintautas Dzemyda

Int. J. Comput. Commun. Control, May, 2023

Reinforcement learning strategies for vessel navigation.

Andrius Daranda, Gintautas Dzemyda

Integr. Comput. Aided Eng., 2023

2022

Geometric MDS Performance for Large Data Dimensionality Reduction and Visualization.

Gintautas Dzemyda, Martynas Sabaliauskas, Viktor Medvedev

Informatica, 2022

Multi-Core Implementation of Geometric Multidimensional Scaling for Large-Scale Data.

Gintautas Dzemyda, Viktor Medvedev, Martynas Sabaliauskas

Proceedings of the Information Systems and Technologies, 2022

2021

The Concept of AI-Based Algorithm: Analysis of CEUS Images and HSPs for Identification of Early Parenchymal Changes in Severe Acute Pancreatitis.

Aiste Kielaite-Gulla, Arturas Samuilis, Renaldas Raisutis, Gintautas Dzemyda, Kestutis Strupas

Informatica, 2021

Novel Machine learning approach for Self-Aware prediction based on the Contextual reasoning.

Andrius Daranda, Gintautas Dzemyda

Int. J. Comput. Commun. Control, 2021

Pancreas Segmentation in CT Images: State of the Art in Clinical Practice.

Ingrida Poce, Jaroslava Arsenjeva, Aiste Kielaite-Gulla, Arturas Samuilis, Kestutis Strupas, Gintautas Dzemyda

Balt. J. Mod. Comput., 2021

Geometric multidimensional scaling: A new approach for data dimensionality reduction.

Gintautas Dzemyda, Martynas Sabaliauskas

Appl. Math. Comput., 2021

New Capabilities of the Geometric Multidimensional Scaling.

Gintautas Dzemyda, Martynas Sabaliauskas

Proceedings of the Trends and Applications in Information Systems and Technologies, 2021

Artificial Intelligence Based Strategy for Vessel Decision Support System.

Andrius Daranda, Gintautas Dzemyda

Proceedings of the Trends and Applications in Information Systems and Technologies, 2021

On the Computational Efficiency of Geometric Multidimensional Scaling.

Gintautas Dzemyda, Martynas Sabaliauskas

Proceedings of the ESSE 2021: 2nd European Symposium on Software Engineering, Larissa, Greece, November 19, 2021

2020

Kriging Predictor for Facial Emotion Recognition Using Numerical Proximities of Human Emotions.

Rasa Karbauskaite, Leonidas Sakalauskas, Gintautas Dzemyda

Informatica, 2020

Navigation Decision Support: Discover of Vessel Traffic Anomaly According to the Historic Marine Data.

Andrius Daranda, Gintautas Dzemyda

Int. J. Comput. Commun. Control, 2020

Emotional, affective and biometrical states analytics of a built environment.

Arturas Kaklauskas, Ajith Abraham, Gintautas Dzemyda, Saulius Raslanas, Mark Seniut, Ieva Ubarte, Olga Kurasova, Arune Binkyte-Veliene, Justas Cerkauskas

Eng. Appl. Artif. Intell., 2020

2019

Corrigendum to 'Affective analytics of demonstration sites' [Eng. Appl. Artif. Intell. 81 (2019) 346-372].

Arturas Kaklauskas, D. Jokubauskas, Justas Cerkauskas, Gintautas Dzemyda, Ieva Ubarte, D. Skirmantas, A. Podviezko, I. Simkute

Eng. Appl. Artif. Intell., 2019

Affective analytics of demonstration sites.

Arturas Kaklauskas, D. Jokubauskas, Justas Cerkauskas, Gintautas Dzemyda, Ieva Ubarte, D. Skirmantas, A. Podviezko, I. Simkute

Eng. Appl. Artif. Intell., 2019

A Novel Geometric Approach to the Problem of Multidimensional Scaling.

Gintautas Dzemyda, Martynas Sabaliauskas

Proceedings of the Numerical Computations: Theory and Algorithms, 2019

2018

Adaptive Eye Fundus Vessel Classification for Automatic Artery and Vein Diameter Ratio Evaluation.

Giedrius Stabingis, Jolita Bernataviciene, Gintautas Dzemyda, Alvydas Paunksnis, Lijana Stabingiene, Povilas Treigys, Ramute Vaicaitiene

Informatica, 2018

Approximation of the Ribs-Bounded Contour in a Tomography Scan Slice.

Mykolas J. Bilinskas, Gintautas Dzemyda, Mantas Trakymas

Int. J. Inf. Technol. Decis. Mak., 2018

Data Science and Advanced Digital Technologies.

Gintautas Dzemyda

Proceedings of the Databases and Information Systems, 2018

2017

A new web-based solution for modelling data mining processes.

Viktor Medvedev, Olga Kurasova, Jolita Bernataviciene, Povilas Treigys, Virginijus Marcinkevicius, Gintautas Dzemyda

Simul. Model. Pract. Theory, 2017

Speeding-up the Fitting of the Model Defining the Ribs-bounded Contour.

Mykolas J. Bilinskas, Gintautas Dzemyda, Martynas Sabaliauskas

Appl. Comput. Syst., 2017

Feature-Based Registration of Thorax CT Scan Slices.

Mykolas J. Bilinskas, Gintautas Dzemyda, Mantas Trakymas

Informatica, 2017

Automated 2D Segmentation of Prostate in T2-weighted MRI Scans.

Justinas Jucevicius, Povilas Treigys, Jolita Bernataviciene, Ruta Briediene, Ieva Naruseviciute, Gintautas Dzemyda, Viktor Medvedev

Int. J. Comput. Commun. Control, 2017

2016

Fractal-Based Methods as a Technique for Estimating the Intrinsic Dimensionality of High-Dimensional Data: A Survey.

Rasa Karbauskaite, Gintautas Dzemyda

Informatica, 2016

Big Multidimensional Datasets Visualization Using Neural Networks - Efficient Decision Support.

Gintautas Dzemyda, Viktor Medvedev, Audrone Lupeikiene, Olga Kurasova, Albertas Caplinskas

Complex Syst. Informatics Model. Q., 2016

Cloud Computing Approach for Intelligent Visualization of Multidimensional Data.

Jolita Bernataviciene, Gintautas Dzemyda, Olga Kurasova, Virginijus Marcinkevicius, Viktor Medvedev, Povilas Treigys

Proceedings of the Advances in Stochastic and Deterministic Global Optimization., 2016

2015

A new Recommendation Model for the User Clustering-Based Recommendation System.

Aurimas Rapecka, Gintautas Dzemyda

Inf. Technol. Control., 2015

Swarm Intelligence for Frequency Management in Smart Grids.

Jose Evora, Jose Juan Hernandez, Mario Hernández, Gintautas Dzemyda, Olga Kurasova, Enrique Kremers

Informatica, 2015

Method for Visual Detection of Similarities in Medical Streaming Data.

Jolita Bernataviciene, Gintautas Dzemyda, Gediminas Bazilevicius, Viktor Medvedev, Virginijus Marcinkevicius, Povilas Treigys

Int. J. Comput. Commun. Control, 2015

Optimization Of The Maximum Likelihood Estimator For Determining The Intrinsic Dimensionality Of High-Dimensional Data.

Rasa Karbauskaite, Gintautas Dzemyda

Int. J. Appl. Math. Comput. Sci., 2015

Decision Support via Big Multidimensional Data Visualization.

Audrone Lupeikiene, Viktor Medvedev, Olga Kurasova, Albertas Caplinskas, Gintautas Dzemyda

Proceedings of the Joint Proceedings of the BIR 2015 Workshops and Doctoral Consortium co-located with 14th International Conference on Perspectives in Business Informatics Research (BIR 2015), 2015

2014

Advanced Planning and Scheduling Systems: Modeling and Implementation Challenges.

Audrone Lupeikiene, Gintautas Dzemyda, Ferenc Kiss, Albertas Caplinskas

Informatica, 2014

2013

Markov Models in the Analysis of Frequent Patterns in Financial Data.

Julija Pragarauskaite, Gintautas Dzemyda

Informatica, 2013

2012

Processing of Undesirable Business Events in Advanced Production Planning Systems.

Albertas Caplinskas, Gintautas Dzemyda, Ferenc Kiss, Audrone Lupeikiene

Informatica, 2012

2011

Efficient Data Projection for Visual Analysis of Large Data Sets Using Neural Networks.

Viktor Medvedev, Gintautas Dzemyda, Olga Kurasova, Virginijus Marcinkevicius

Informatica, 2011

Large-Scale Data Analysis Using Heuristic Methods.

Gintautas Dzemyda, Leonidas Sakalauskas

Informatica, 2011

Recommended Biometric Stress Management System.

Arturas Kaklauskas, Edmundas Kazimieras Zavadskas, Andrejus Pruskus, Andrejus Vlasenko, Lina Bartkiene, Rasa Paliskiene, Lina Zemeckyte, V. Gerstein, Gintautas Dzemyda, Gintautas Tamulevicius

Expert Syst. Appl., 2011

Web-based Biometric Computer Mouse Advisory System to Analyze a User's Emotions and Work Productivity.

Arturas Kaklauskas, Edmundas Kazimieras Zavadskas, Mark Seniut, Gintautas Dzemyda, V. Stankevic, C. Simkevicius, T. Stankevic, Rasa Paliskiene, A. Matuliauskaite, Simona Kildiene, Lina Bartkiene, Sergejus Ivanikovas, Viktor Gribniak

Eng. Appl. Artif. Intell., 2011

Large-Scale Multidimensional Data Visualization: A Web Service for Data Mining.

Gintautas Dzemyda, Virginijus Marcinkevicius, Viktor Medvedev

Proceedings of the Towards a Service-Based Internet - 4th European Conference, 2011

2010

Analysis of Thermovisual Data of the Radio-Frequency Impact on the Myocardium Damage.

Vincentas Veikutis, Gintautas Dzemyda, Povilas Treigys, Kristina Morkunaite, Algidas Basevicius, Saulius Lukosevicius, Gintare Sakalyte, Antanas Sederevicius

Informatica, 2010

2009

Topology Preservation Measures in the Visualization of Manifold-Type Multidimensional Data.

Rasa Karbauskaite, Gintautas Dzemyda

Informatica, 2009

Optimization and Knowledge-Based Technologies.

Gintautas Dzemyda, Leonidas Sakalauskas

Informatica, 2009

2008

Automated Optic Nerve Disc Parameterization.

Povilas Treigys, Vydunas Saltenis, Gintautas Dzemyda, Valerijus Barzdziukas, Alvydas Paunksnis

Informatica, 2008

Automated Positioning of Overlapping Eye Fundus Images.

Povilas Treigys, Gintautas Dzemyda, Valerijus Barzdziukas

Proceedings of the Computational Science, 2008

Large Datasets Visualization with Neural Network Using Clustered Training Data.

Sergejus Ivanikovas, Gintautas Dzemyda, Viktor Medvedev

Proceedings of the Advances in Databases and Information Systems, 2008

2007

Dimension Reduction and Data Visualization Using Neural Networks.

Gintautas Dzemyda, Olga Kurasova, Viktor Medvedev

Proceedings of the Emerging Artificial Intelligence Applications in Computer Engineering, 2007

Conditions for Optimal Efficiency of Relative MDS.

Jolita Bernataviciene, Gintautas Dzemyda, Virginijus Marcinkevicius

Informatica, 2007

Parallel Realizations of the SAMANN Algorithm.

Sergejus Ivanikovas, Viktor Medvedev, Gintautas Dzemyda

Proceedings of the Adaptive and Natural Computing Algorithms, 8th International Conference, 2007

Dimensionality Problem in the Visualization of Correlation-Based Data.

Gintautas Dzemyda, Olga Kurasova

Proceedings of the Adaptive and Natural Computing Algorithms, 8th International Conference, 2007

Parameter System for Human Physiological Data Representation and Analysis.

Olga Kurasova, Gintautas Dzemyda, Alfonsas Vainoras

Proceedings of the Pattern Recognition and Image Analysis, Third Iberian Conference, 2007

2006

Optimization of the Local Search in the Training for SAMANN Neural Network.

Viktor Medvedev, Gintautas Dzemyda

J. Glob. Optim., 2006

Heuristic approach for minimizing the projection error in the integrated mapping.

Gintautas Dzemyda, Olga Kurasova

Eur. J. Oper. Res., 2006

Optimal decisions in combining the SOM with nonlinear projection methods.

Jolita Bernataviciene, Gintautas Dzemyda, Olga Kurasova, Virginijus Marcinkevicius

Eur. J. Oper. Res., 2006

Evolution of the Cultural-Based Paradigm for Informatics Education in Secondary Schools - Two Decades of Lithuanian Experience.

Valentina Dagiene, Gintautas Dzemyda, Mifodijus Sapagovas

Proceedings of the Informatics Education - The Bridge between Using and Understanding Computers, International Conference in Informatics in Secondary Schools, 2006

Retraining the Neural Network for Data Visualization.

Viktor Medvedev, Gintautas Dzemyda

Proceedings of the Artificial Intelligence Applications and Innovations, 2006

Speed Up of the SAMANN Neural Network Retraining.

Viktor Medvedev, Gintautas Dzemyda

Proceedings of the Artificial Intelligence and Soft Computing, 2006

2005

Multidimensional data visualization in the statistical analysis of curricula.

Gintautas Dzemyda

Comput. Stat. Data Anal., 2005

Minimization of the Mapping Error using Coordinate Descent.

Gintautas Dzemyda, Jolita Bernataviciene, Olga Kurasova, Virginijus Marcinkevicius

Proceedings of the 13-th International Conference in Central Europe on Computer Graphics, 2005

Analysis of the Statistical Characteristics in Mining of Frequent Sequences.

Romanas Tumasonis, Gintautas Dzemyda

Proceedings of the Intelligent Information Processing and Web Mining, 2005

2004

Visual Analysis of the Multidimensional Meteorological Data.

Gintautas Dzemyda

Proceedings of the Computational Science, 2004

Parallelization of the SOM-Based Integrated Mapping.

Gintautas Dzemyda, Olga Kurasova

Proceedings of the Artificial Intelligence and Soft Computing, 2004

The Probabilistic Algorithm for Mining Frequent Sequences.

Romanas Tumasonis, Gintautas Dzemyda

Proceedings of the Advances in Databases and Information Systems, 2004

2003

Forecasting Models in the State Education System.

Gintautas Dzemyda, Vydunas Saltenis, Vytautas Tiesis

Informatics Educ., 2003

Visualization of Multidimensional Data Taking into Account the Learning Flow of the Self-Organizing Neural Network.

Gintautas Dzemyda, Olga Kurasova

Proceedings of the 11-th International Conference in Central Europe on Computer Graphics, 2003

2002

Quantitative Forecasting and Assessment Models in the State Education System.

Vydunas Saltenis, Gintautas Dzemyda, Vytautas Tiesis

Informatica, 2002

Comparative Analysis of the Graphical Result Presentation in the SOM Software.

Gintautas Dzemyda, Olga Kurasova

Informatica, 2002

Method of Visual Data Mining for the Analysis of Curricula.

Gintautas Dzemyda

Proceedings of the Baltic Conference, 2002

2001

Visualisation of Multidimensional Objects and the Socio-Economical Impact to Activity in EC RTD Databases.

Gintautas Dzemyda, Vytautas Tiesis

Informatica, 2001

Application of Computer Network to Solve the Complex Applied Multiple Criteria Optimization Problems.

Gintautas Dzemyda, Tomas Petkus

Informatica, 2001

1996

Visual analysis of a set of function values.

Gintautas Dzemyda

Proceedings of the 13th International Conference on Pattern Recognition, 1996