Visual analysis of a set of function values. - Gintautas Dzemyda (ICPR, 1996)

Application of Computer Network to Solve the Complex Applied Multiple Criteria Optimization Problems. - Gintautas Dzemyda; Tomas Petkus (Informatica, 2001)

Visualisation of Multidimensional Objects and the Socio-Economical Impact to Activity in EC RTD Databases. - Gintautas Dzemyda; Vytautas Tiesis (Informatica, 2001)

Method of Visual Data Mining for the Analysis of Curricula. - Gintautas Dzemyda (BalticDB&IS, 2002)

Comparative Analysis of the Graphical Result Presentation in the SOM Software. - Gintautas Dzemyda; Olga Kurasova (Informatica, 2002)

Quantitative Forecasting and Assessment Models in the State Education System. - Vydunas Saltenis; Gintautas Dzemyda; Vytautas Tiesis (Informatica, 2002)

Visualization of Multidimensional Data Taking into Account the Learning Flow of the Self-Organizing Neural Network. - Gintautas Dzemyda; Olga Kurasova (WSCG, 2003)

Forecasting Models in the State Education System. - Gintautas Dzemyda; Vydunas Saltenis; Vytautas Tiesis (Informatics Educ., 2003)

The Probabilistic Algorithm for Mining Frequent Sequences. - Romanas Tumasonis; Gintautas Dzemyda (ADBIS (Local Proceedings), 2004)

Parallelization of the SOM-Based Integrated Mapping. - Gintautas Dzemyda; Olga Kurasova (ICAISC, 2004)

Visual Analysis of the Multidimensional Meteorological Data. - Gintautas Dzemyda (International Conference on Computational Science, 2004)

Analysis of the Statistical Characteristics in Mining of Frequent Sequences. - Romanas Tumasonis; Gintautas Dzemyda (Intelligent Information Systems, 2005)

Minimization of the Mapping Error using Coordinate Descent. - Gintautas Dzemyda; Jolita Bernataviciene; Olga Kurasova; Virginijus Marcinkevicius (WSCG (Short Papers), 2005)

Multidimensional data visualization in the statistical analysis of curricula. - Gintautas Dzemyda (Comput. Stat. Data Anal., 2005)

Speed Up of the SAMANN Neural Network Retraining. - Viktor Medvedev; Gintautas Dzemyda (ICAISC, 2006)

Retraining the Neural Network for Data Visualization. - Viktor Medvedev; Gintautas Dzemyda (AIAI, 2006)

Evolution of the Cultural-Based Paradigm for Informatics Education in Secondary Schools - Two Decades of Lithuanian Experience. - Valentina Dagiene; Gintautas Dzemyda; Mifodijus Sapagovas (ISSEP, 2006)

Optimal decisions in combining the SOM with nonlinear projection methods. - Jolita Bernataviciene; Gintautas Dzemyda; Olga Kurasova; Virginijus Marcinkevicius (Eur. J. Oper. Res., 2006)

Heuristic approach for minimizing the projection error in the integrated mapping. - Gintautas Dzemyda; Olga Kurasova (Eur. J. Oper. Res., 2006)

Optimization of the Local Search in the Training for SAMANN Neural Network. - Viktor Medvedev; Gintautas Dzemyda (J. Glob. Optim., 2006)

Parameter System for Human Physiological Data Representation and Analysis. - Olga Kurasova; Gintautas Dzemyda; Alfonsas Vainoras (IbPRIA (1), 2007)

Dimensionality Problem in the Visualization of Correlation-Based Data. - Gintautas Dzemyda; Olga Kurasova (ICANNGA (2), 2007)

Parallel Realizations of the SAMANN Algorithm. - Sergejus Ivanikovas; Viktor Medvedev; Gintautas Dzemyda (ICANNGA (2), 2007)

Conditions for Optimal Efficiency of Relative MDS. - Jolita Bernataviciene; Gintautas Dzemyda; Virginijus Marcinkevicius (Informatica, 2007)

Dimension Reduction and Data Visualization Using Neural Networks. - Gintautas Dzemyda; Olga Kurasova; Viktor Medvedev (Emerging Artificial Intelligence Applications in Computer Engineering, 2007)

Large Datasets Visualization with Neural Network Using Clustered Training Data. - Sergejus Ivanikovas; Gintautas Dzemyda; Viktor Medvedev (ADBIS, 2008)

Automated Positioning of Overlapping Eye Fundus Images. - Povilas Treigys; Gintautas Dzemyda; Valerijus Barzdziukas (ICCS (1), 2008)

Automated Optic Nerve Disc Parameterization. - Povilas Treigys; Vydunas Saltenis; Gintautas Dzemyda; Valerijus Barzdziukas; Alvydas Paunksnis (Informatica, 2008)

Optimization and Knowledge-Based Technologies. - Gintautas Dzemyda; Leonidas Sakalauskas (Informatica, 2009)

Topology Preservation Measures in the Visualization of Manifold-Type Multidimensional Data. - Rasa Karbauskaite; Gintautas Dzemyda (Informatica, 2009)

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)

Large-Scale Multidimensional Data Visualization: A Web Service for Data Mining. - Gintautas Dzemyda; Virginijus Marcinkevicius; Viktor Medvedev (ServiceWave, 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; et al. (Eng. Appl. Artif. Intell., 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)

Large-Scale Data Analysis Using Heuristic Methods. - Gintautas Dzemyda; Leonidas Sakalauskas (Informatica, 2011)

Efficient Data Projection for Visual Analysis of Large Data Sets Using Neural Networks. - Viktor Medvedev; Gintautas Dzemyda; Olga Kurasova; Virginijus Marcinkevicius (Informatica, 2011)

Processing of Undesirable Business Events in Advanced Production Planning Systems. - Albertas Caplinskas; Gintautas Dzemyda; Ferenc Kiss; Audrone Lupeikiene (Informatica, 2012)

Markov Models in the Analysis of Frequent Patterns in Financial Data. - Julija Pragarauskaite; Gintautas Dzemyda (Informatica, 2013)

Advanced Planning and Scheduling Systems: Modeling and Implementation Challenges. - Audrone Lupeikiene; Gintautas Dzemyda; Ferenc Kiss; Albertas Caplinskas (Informatica, 2014)

Decision Support via Big Multidimensional Data Visualization. - Audrone Lupeikiene; Viktor Medvedev; Olga Kurasova; Albertas Caplinskas; Gintautas Dzemyda (BIR Workshops, 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)

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)

Swarm Intelligence for Frequency Management in Smart Grids. - Jose Evora; Jose Juan Hernandez; Mario Hernández; Gintautas Dzemyda; Olga Kurasova; Enrique Kremers (Informatica, 2015)

A new Recommendation Model for the User Clustering-Based Recommendation System. - Aurimas Rapecka; Gintautas Dzemyda (Inf. Technol. Control., 2015)

Cloud Computing Approach for Intelligent Visualization of Multidimensional Data. - Jolita Bernataviciene; Gintautas Dzemyda; Olga Kurasova; Virginijus Marcinkevicius; Viktor Medvedev; Povilas Treigys (Advances in Stochastic and Deterministic Global Optimization, 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)

Fractal-Based Methods as a Technique for Estimating the Intrinsic Dimensionality of High-Dimensional Data: A Survey. - Rasa Karbauskaite; Gintautas Dzemyda (Informatica, 2016)

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)

Feature-Based Registration of Thorax CT Scan Slices. - Mykolas J. Bilinskas; Gintautas Dzemyda; Mantas Trakymas (Informatica, 2017)

Speeding-up the Fitting of the Model Defining the Ribs-bounded Contour. - Mykolas J. Bilinskas; Gintautas Dzemyda; Martynas Sabaliauskas (Appl. Comput. Syst., 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)

Data Science and Advanced Digital Technologies. - Gintautas Dzemyda (DB&IS, 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)

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)

A Novel Geometric Approach to the Problem of Multidimensional Scaling. - Gintautas Dzemyda; Martynas Sabaliauskas (NUMTA (2), 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)

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)

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)

Navigation Decision Support: Discover of Vessel Traffic Anomaly According to the Historic Marine Data. - Andrius Daranda; Gintautas Dzemyda (Int. J. Comput. Commun. Control, 2020)

Kriging Predictor for Facial Emotion Recognition Using Numerical Proximities of Human Emotions. - Rasa Karbauskaite; Leonidas Sakalauskas; Gintautas Dzemyda (Informatica, 2020)

On the Computational Efficiency of Geometric Multidimensional Scaling. - Gintautas Dzemyda; Martynas Sabaliauskas (ESSE, 2021)

Artificial Intelligence Based Strategy for Vessel Decision Support System. - Andrius Daranda; Gintautas Dzemyda (WorldCIST (1), 2021)

New Capabilities of the Geometric Multidimensional Scaling. - Gintautas Dzemyda; Martynas Sabaliauskas (WorldCIST (2), 2021)

Geometric multidimensional scaling: A new approach for data dimensionality reduction. - Gintautas Dzemyda; Martynas Sabaliauskas (Appl. Math. Comput., 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)

Novel Machine learning approach for Self-Aware prediction based on the Contextual reasoning. - Andrius Daranda; Gintautas Dzemyda (Int. J. Comput. Commun. Control, 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)

Multi-Core Implementation of Geometric Multidimensional Scaling for Large-Scale Data. - Gintautas Dzemyda; Viktor Medvedev; Martynas Sabaliauskas (WorldCIST (2), 2022)

Geometric MDS Performance for Large Data Dimensionality Reduction and Visualization. - Gintautas Dzemyda; Martynas Sabaliauskas; Viktor Medvedev (Informatica, 2022)

Reinforcement learning strategies for vessel navigation. - Andrius Daranda; Gintautas Dzemyda (Integr. Comput. Aided Eng., 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, 2023)

EfficientNet Convolutional Neural Network with Gram Matrices Modules for Predicting Sadness Emotion. - Modestas Motiejauskas; Gintautas Dzemyda (Int. J. Comput. Commun. Control, 2024)

Geometric multidimensional scaling: efficient approach for data dimensionality reduction. - Gintautas Dzemyda; Martynas Sabaliauskas (J. Glob. Optim., 2024)

Enhancing credit card fraud detection: highly imbalanced data case. - Dalia Breskuviene; Gintautas Dzemyda (J. Big Data, 2024)

The Effective Evaluation of Emotions in the Visual Emotion Images Using Convolutional Neural Networks. - Modestas Motiejauskas; Gintautas Dzemyda (IEEE Access, 2025)

Deep learning-based aggregate analysis to identify cut-off points for decision-making in pancreatic cancer detection. - Gintautas Dzemyda; Olga Kurasova; Viktor Medvedev; Ausra Suboniene; Aiste Kielaite-Gulla; Arturas Samuilis; Dziugas Jagminas; Kestutis Strupas (Expert Syst. J. Knowl. Eng., 2025)