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ORCIDIVUS 2022: Kaunas, Lithuania
- Tomas Krilavicius, Audrius Lopata, Ilona Veitaite, Marcin Wozniak, Christian Napoli, Danguole Kalinauskaite:
Proceedings of the 27th International Conference on Information Society and University Studies (IVUS 2022), Kaunas, Lithuania, May 12, 2022. CEUR Workshop Proceedings 3611, CEUR-WS.org 2024 - Antoni Jaszcz:
Impact of augmentation techniques on the classification of medical images. 1-6 - Antoni Jaszcz:
VGG16-based approach for side-scan sonar image analysis. 7-13 - Katarzyna Prokop:
Grey wolf optimizer combined with k-nn algorithm for clustering problem. 14-19 - Serge Dolgikh:
Sparse generative representations of handwritten digits. 20-25 - Ali Erbey, Necaattin Barisçi:
Application-based spam detection with machine learning algorithms. 26-31 - Mukhriddin Arabboev, Shohruh Begmatov, Khabibullo Nosirov, Jean Chamberlain Chedjou, Kyandoghere Kyamakya:
Development of a novel method of adaptive image interpolation for image resizing using artificial intelligence. 32-38 - Arminas Sidlauskas, Andrius Krisciunas:
Pixel-based forest classification of Sentinel-2 images using automatically generated datasets. 39-45 - Üzeyir Fidan, Musab Talha Akpinar:
Simulation-based comparison of objective weighting methods. 46-51 - Zhengmao Ye, Radian Belu, Hang Yin, Habib Mohamadian:
Time-frequency analysis of automotive engine performance via short-time Fourier transform. 52-57 - Lukas Jokubauskas, Jevgenijus Toldinas, Borisas Lozinskis:
Detecting applications vulnerabilities using remote procedure calls. 58-65 - Irakli Basheleishvili, Giorgi Kapanadze, Avtandil Bardavelidze:
Development of a software quality assessment method. 66-69 - Giedrius Stravinskas, Vytas Vadapolas, Arminas Pamakstis, Andrius Krisciunas, Ingrida Lagzdinyte-Budnikeviciene:
Building height prediction using neural networks based on Sentinel multi spectral images. 70-76 - Rowland McFadden, Radian Belu, Zhengmao Ye:
Comparative performance analysis on off-grid power systems. 77-82 - Gabriele Kasputyte, Arnas Matusevicius, Tomas Krilavicius:
Aplication of machine learning for improving contemporary ETA forecasting. 83-91 - Monika Zdanaviciute, Ruta Juozaitiene, Tomas Krilavicius:
Telecommunication customer churn prediction using machine learning methods. 92-98 - Milita Songailaite, Tomas Krilavicius:
Machine learning methods for content-based music recommendation systems. 99-105 - Prasun Bhattacharjee, Rabin K. Jana, Somenath Bhattacharya:
A novel artificial intelligence technique for enhancing the annual profit of wind farm. 106-110 - Paulius Savickas, Dovile Kuiziniene, Mantas Bugarevicius, Zilvinas Kybartas, Tomas Krilavicius:
Can merged datasets help in training money laundering detection models? 111-116 - Egle Kankeviciute, Milita Songailaite, Justina Mandravickaite, Danguole Kalinauskaite, Tomas Krilavicius:
A comparison of deep learning models for hate speech detection. 117-123 - Vaidas Morkevicius, Vytautas Valentinavicius, Giedrius Zvaliauskas, Monika Briediene:
Using parliamentary corpora to study political agenda: Attention to human rights in Lithuanian Parliament in 2020-2021. 124-131 - Paulina Halatek, Katarzyna Wiltos, Mariusz Wróbel:
Iris database - Effectiveness of selected classifiers. 132-140 - Michal Wieczorek, Natalia Wojtas:
Custom semantic segmentation neural network architecture in spirochaete detection application. 141-146
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last updated on 2026-05-29 23:43 CEST by the dblp team
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