Povilas Treigys

According to our database, Povilas Treigys authored at least 27 papers between 2008 and 2024.

Collaborative distances:

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

2024

Centre-loss - A preferred class verification approach over sample-to-sample in self-checkout products datasets.

Bernardas Ciapas, Povilas Treigys

IET Comput. Vis., October, 2024

Automated barcodeless product classifier for food retail self-checkout images.

Bernardas Ciapas, Povilas Treigys

Vis. Comput., September, 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

2023

Application of coordinate systems for vessel trajectory prediction improvement using a recurrent neural networks.

Robertas Jurkus, Julius Venskus, Povilas Treigys

Eng. Appl. Artif. Intell., 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

Investigation of the Lombard effect based on a machine learning approach.

Grazina Korvel, Povilas Treigys, Krzysztof Kakol, Bozena Kostek

Int. J. Appl. Math. Comput. Sci., 2023

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

Investigating Noise Interference on Speech Towards Applying the Lombard Effect Automatically.

Grazina Korvel, Krzysztof Kakol, Povilas Treigys, Bozena Kostek

Proceedings of the Foundations of Intelligent Systems - 26th International Symposium, 2022

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

Proceedings of the Communication Papers of the 17th Conference on Computer Science and Intelligence Systems, 2022

Retail Self-checkout Image Classification Performance: Similar Class Grouping or Individual Class Classification Approach.

Bernardas Ciapas, Povilas Treigys

Proceedings of the Digital Business and Intelligent Systems, 2022

2021

Deep Learning Model for Cell Nuclei Segmentation and Lymphocyte Identification in Whole Slide Histology Images.

Elzbieta Budginaite, Mindaugas Morkunas, Arvydas Laurinavicius, Povilas Treigys

Informatica, 2021

High F-score Model for Recognizing Object Visibility in Images with Occluded Objects of Interest.

Bernardas Ciapas, Povilas Treigys

Balt. J. Mod. Comput., 2021

Investigation of Recurrent Neural Network Architectures for Prediction of Vessel Trajectory.

Robertas Jurkus, Povilas Treigys, Julius Venskus

Proceedings of the Information and Software Technologies - 27th International Conference, 2021

2019

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

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

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

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

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

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

Detection of the Road Pothole Contour in Raster Images.

Vytautas Jakstys, Virginijus Marcinkevicius, Povilas Treigys, Jevgenij Tichonov

Inf. Technol. Control., 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

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

2012

Analysis of Iris and pupil parameters for stress Recognition.

Povilas Treigys, Virginijus Marcinkevicius, Arturas Kaklauskas

Inf. Technol. Control., 2012

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

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

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