Vision Enhancement Technique Based on Eye Tracking System. - Vidas Raudonis; Agne Paulauskaite-Taraseviciene; Rytis Maskeliunas (WIS, 2012)

The Gaze Tracking System with Natural Head Motion Compensation. - Vidas Raudonis; Agne Paulauskaite-Taraseviciene; Laura Kizauskiene (Informatica, 2012)

Methods for Smart Home Environment's Intellectualization: The Comparative Analysis. - Raimundas Jasinevicius; Vaidas Jukavicius; Agnius Liutkevicius; Vytautas Petrauskas; Agne Taraseviciene; Arunas Vrubliauskas (ICIST, 2014)

Statistical Evaluation of Four Technologies used for Intelectualization of Smart Home Environment. - Agne Paulauskaite-Taraseviciene; Vaidas Jukavicius; Nerijus Morkevicius; Raimundas Jasinevicius; Vytautas Petrauskas; Vygintas Kazanavicius (Inf. Technol. Control., 2015)

Deep Learning-based Detection of Overlapping Cells. - Agne Paulauskaite-Taraseviciene; Kristina Sutiene; Justas Valotka; Vidas Raudonis; Tomas Iesmantas (ICAAI, 2019)

Service Quotation Generation Using Robotic Process Automation Technology. - Agne Paulauskaite-Taraseviciene; Vilius Kerutis (IVUS, 2020)

Melanoma Multi Class Segmentation Using Different U-Net Type Architectures. - Nojus Dimsa; Agne Paulauskaite-Taraseviciene (IVUS, 2021)

Research on Phishing Email Detection Based on URL Parameters Using Machine Learning Algorithms. - Milda Tubyte; Agne Paulauskaite-Taraseviciene (IVUS, 2021)

A Machine Learning Approach for Wear Monitoring of End Mill by Self-Powering Wireless Sensor Nodes. - Vytautas Ostasevicius; Paulius Karpavicius; Agne Paulauskaite-Taraseviciene; Vytautas Jurenas; Arkadiusz Mystkowski; Ramunas Cesnavicius; Laura Kizauskiene (Sensors, 2021)

Fast Multi-Focus Fusion Based on Deep Learning for Early-Stage Embryo Image Enhancement. - Vidas Raudonis; Agne Paulauskaite-Taraseviciene; Kristina Sutiene (Sensors, 2021)

Artificial Intelligence Solutions Towards to BIM6D: Sustainability and Energy Efficiency. - Justas Kardoka; Agne Paulauskaite-Taraseviciene; Darius Pupeikis (ICIST, 2022)

Deep Learning-Based Malware Detection Using PE Headers. - Arnas Nakrosis; Ingrida Lagzdinyte-Budnike; Agne Paulauskaite-Taraseviciene; Giedrius Paulikas; Paulius Dapkus (ICIST, 2022)

Comparative Analysis of Machine Learning Methods for Predicting Robotized Incremental Metal Sheet Forming Force. - Vytautas Ostasevicius; Ieva Paleviciute; Agne Paulauskaite-Taraseviciene; Vytautas Jurenas; Darius Eidukynas; Laura Kizauskiene (Sensors, 2022)

Computer Vision-Based Multi-Class Classification of Garments Using a Three-Level Hierarchical Approach. - Asta Kvedaraite; Neda Buineviciute; Agne Paulauskaite-Taraseviciene (IVUS, 2023)

Comparative Evaluation of Deep Learning Architectures for Environment and Obstacle Recognition in Robotic Lawn Care. - Julius Siaulys; Agne Paulauskaite-Taraseviciene (IVUS, 2023)

Building Heat Loss Evaluation using Artificial Intelligence Methods and Thermal Photogrammetry. - Justas Kardoka; Agne Paulauskaite-Taraseviciene; Darius Pupeikis (IVUS, 2024)

Advancements in AI for Poultry Farming to Ensure Early Detection to Tackle Fallen Bird Incidents. - Arnas Nakrosis; Agne Paulauskaite-Taraseviciene; Romas Gruzauskas (IVUS, 2024)

Enhancing multi-class prediction of skin lesions with feature importance assessment. - Agne Paulauskaite-Taraseviciene; Kristina Sutiene; Nojus Dimsa; Skaidra Valiukeviciene (Int. J. Appl. Math. Comput. Sci., 2024)

Comparative Analysis of Perturbation Techniques in LIME for Intrusion Detection Enhancement. - Mantas Bacevicius; Agne Paulauskaite-Taraseviciene; Gintare Zokaityte; Lukas Kersys; Agne Moleikaityte (Mach. Learn. Knowl. Extr., 2025)