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

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

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

Assessment of the Optic Nerve Disc and Excavation Parameters of Interactive and Automated Parameterization Methods. - Dovile Buteikiene; Alvydas Paunksnis; Valerijus Barzdziukas; Jolita Bernataviciene; Virginijus Marcinkevicius; Povilas Treigys (Informatica, 2012)

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)

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)

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)

Integration of a Self-Organizing Map and a Virtual Pheromone for Real-Time Abnormal Movement Detection in Marine Traffic. - Julius Venskus; Povilas Treigys; Jolita Bernataviciene; Viktor Medvedev; Miroslav Voznák; Mindaugas Kurmis; Violeta Bulbenkiene (Informatica, 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)

Machine Learning Based Classification of Colorectal Cancer Tumour Tissue in Whole-Slide Images. - Mindaugas Morkunas; Povilas Treigys; Jolita Bernataviciene; Arvydas Laurinavicius; Grazina Korvel (Informatica, 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)

Real-Time Maritime Traffic Anomaly Detection Based on Sensors and History Data Embedding. - Julius Venskus; Povilas Treigys; Jolita Bernataviciene; Gintautas Tamulevicius; Viktor Medvedev (Sensors, 2019)

Deep Learning Methods for Glaucoma Identification Using Digital Fundus Images. - Sandra Virbukaite; Jolita Bernataviciene (Balt. J. Mod. Comput., 2020)

Detecting Cancerous Regions in DCE MRI using Functional Data, XGboost and Neural Networks. - Povilas Treigys; Aleksas Vaitulevicius; Jolita Bernataviciene; Jurgita Markeviciute; Ieva Naruseviciute; Mantas Trakymas (FedCSIS (Communication Papers), 2022)

An Overview of Lithuanian Intonation: A Linguistic and Modelling Perspective. - Gerda Ana Melnik-Leroy; Jolita Bernataviciene; Grazina Korvel; Gediminas Navickas; Gintautas Tamulevicius; Povilas Treigys (Informatica, 2022)

Deep Neural Networks application for Cup-to-Disc ratio estimation in eye fundus images. - Sandra Virbukaite; Jolita Bernataviciene (FedCSIS, 2023)

Usage of Isotropic MRI Images Impoves Prostate Cancer Localization Results. - Justinas Jucevicius; Povilas Treigys; Jolita Bernataviciene; Mantas Trakymas; Ieva Naruseviciute (Balt. J. Mod. Comput., 2023)

Enhancing Arrhythmia Detection Using an Ensemble of Transformer Models for Heartbeat Classification. - Jaune Malukaite; Povilas Treigys; Jolita Bernataviciene (LOD (2), 2024)

Glaucoma Identification Using Convolutional Neural Networks Ensemble for Optic Disc and Cup Segmentation. - Sandra Virbukaite; Jolita Bernataviciene; Daiva Imbrasiene (IEEE Access, 2024)

Advancements in prostate zone segmentation: integrating attention mechanisms into the nnU-Net framework. - Aleksas Vaitulevicius; Jolita Bernataviciene; Jurgita Markeviciute; Ieva Naruseviciute; Mantas Trakymas; Povilas Treigys (Mach. Learn. Sci. Technol., 2024)