Julius Venskus

Publication Activity (10 Years)

Years Active: 2015-2023
Publications (10 Years): 4

Top Topics

Growing Self Organizing Map

Anomaly Detection

Topology Preserving

Top Venues

Eng. Appl. Artif. Intell.

Publications

Robertas Jurkus, Julius Venskus, Povilas Treigys
Application of coordinate systems for vessel trajectory prediction improvement using a recurrent neural networks. Eng. Appl. Artif. Intell. 123 (Part C) (2023)
Robertas Jurkus, Povilas Treigys, Julius Venskus
Investigation of Recurrent Neural Network Architectures for Prediction of Vessel Trajectory. ICIST (2021)
Julius Venskus, Povilas Treigys, Jolita Bernataviciene, Gintautas Tamulevicius, Viktor Medvedev
Real-Time Maritime Traffic Anomaly Detection Based on Sensors and History Data Embedding. Sensors 19 (17) (2019)
Julius Venskus, Povilas Treigys, Jolita Bernataviciene, Viktor Medvedev, Miroslav Voznák, Mindaugas Kurmis, Violeta Bulbenkiene
Integration of a Self-Organizing Map and a Virtual Pheromone for Real-Time Abnormal Movement Detection in Marine Traffic. Informatica 28 (2) (2017)
Julius Venskus, Mindaugas Kurmis, Arunas Andziulis, Zydrunas Lukosius, Miroslav Voznák, Denisas Bykovas
Self-learning adaptive algorithm for maritime traffic abnormal movement detection based on virtual pheromone method. SPECTS@SummerSim (2015)