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Journal Articles
- 2025
[j7]Mantas Bacevicius, Agne Paulauskaite-Taraseviciene
, Gintare Zokaityte, Lukas Kersys, Agne Moleikaityte:
Comparative Analysis of Perturbation Techniques in LIME for Intrusion Detection Enhancement. Mach. Learn. Knowl. Extr. 7(1): 21 (2025)- 2024
- [j6]Agne Paulauskaite-Taraseviciene, Kristina Sutiene, Nojus Dimsa, Skaidra Valiukeviciene:
Enhancing multi-class prediction of skin lesions with feature importance assessment. Int. J. Appl. Math. Comput. Sci. 34(4) (2024) - 2022
- [j5]Vytautas Ostasevicius, Ieva Paleviciute, Agne Paulauskaite-Taraseviciene, Vytautas Jurenas, Darius Eidukynas, Laura Kizauskiene:
Comparative Analysis of Machine Learning Methods for Predicting Robotized Incremental Metal Sheet Forming Force. Sensors 22(1): 18 (2022) - 2021
- [j4]Vidas Raudonis, Agne Paulauskaite-Taraseviciene, Kristina Sutiene:
Fast Multi-Focus Fusion Based on Deep Learning for Early-Stage Embryo Image Enhancement. Sensors 21(3): 863 (2021) - [j3]Vytautas Ostasevicius, Paulius Karpavicius, Agne Paulauskaite-Taraseviciene, Vytautas Jurenas, Arkadiusz Mystkowski, Ramunas Cesnavicius, Laura Kizauskiene:
A Machine Learning Approach for Wear Monitoring of End Mill by Self-Powering Wireless Sensor Nodes. Sensors 21(9): 3137 (2021) - 2015
- [j2]Agne Paulauskaite-Taraseviciene, Vaidas Jukavicius, Nerijus Morkevicius, Raimundas Jasinevicius, Vytautas Petrauskas, Vygintas Kazanavicius:
Statistical Evaluation of Four Technologies used for Intelectualization of Smart Home Environment. Inf. Technol. Control. 44(3): 334-344 (2015) - 2012
- [j1]Vidas Raudonis, Agne Paulauskaite-Taraseviciene, Laura Kizauskiene:
The Gaze Tracking System with Natural Head Motion Compensation. Informatica 23(1): 105-124 (2012)
Conference and Workshop Papers
- 2024
- [c12]Justas Kardoka, Agne Paulauskaite-Taraseviciene, Darius Pupeikis:
Building Heat Loss Evaluation using Artificial Intelligence Methods and Thermal Photogrammetry. IVUS 2024: 1-8 - [c11]Arnas Nakrosis, Agne Paulauskaite-Taraseviciene, Romas Gruzauskas:
Advancements in AI for Poultry Farming to Ensure Early Detection to Tackle Fallen Bird Incidents. IVUS 2024: 39-48 - 2023
- [c10]Julius Siaulys, Agne Paulauskaite-Taraseviciene:
Comparative Evaluation of Deep Learning Architectures for Environment and Obstacle Recognition in Robotic Lawn Care. IVUS 2023: 55-63 - [c9]Asta Kvedaraite, Neda Buineviciute, Agne Paulauskaite-Taraseviciene:
Computer Vision-Based Multi-Class Classification of Garments Using a Three-Level Hierarchical Approach. IVUS 2023: 75-82 - 2022
- [c8]Arnas Nakrosis, Ingrida Lagzdinyte-Budnike, Agne Paulauskaite-Taraseviciene, Giedrius Paulikas, Paulius Dapkus:
Deep Learning-Based Malware Detection Using PE Headers. ICIST 2022: 3-18 - [c7]Justas Kardoka, Agne Paulauskaite-Taraseviciene, Darius Pupeikis:
Artificial Intelligence Solutions Towards to BIM6D: Sustainability and Energy Efficiency. ICIST 2022: 117-135 - 2021
- [c6]Milda Tubyte, Agne Paulauskaite-Taraseviciene:
Research on Phishing Email Detection Based on URL Parameters Using Machine Learning Algorithms. IVUS 2021: 18-26 - [c5]Nojus Dimsa, Agne Paulauskaite-Taraseviciene:
Melanoma Multi Class Segmentation Using Different U-Net Type Architectures. IVUS 2021: 84-91 - 2020
- [c4]Agne Paulauskaite-Taraseviciene, Vilius Kerutis:
Service Quotation Generation Using Robotic Process Automation Technology. IVUS 2020: 115-127 - 2019
- [c3]Agne Paulauskaite-Taraseviciene, Kristina Sutiene, Justas Valotka, Vidas Raudonis, Tomas Iesmantas:
Deep Learning-based Detection of Overlapping Cells. ICAAI 2019: 217-220 - 2014
- [c2]Raimundas Jasinevicius, Vaidas Jukavicius, Agnius Liutkevicius, Vytautas Petrauskas, Agne Taraseviciene, Arunas Vrubliauskas:
Methods for Smart Home Environment's Intellectualization: The Comparative Analysis. ICIST 2014: 150-159 - 2012
- [c1]Vidas Raudonis, Agne Paulauskaite-Taraseviciene, Rytis Maskeliunas:
Vision Enhancement Technique Based on Eye Tracking System. WIS 2012: 150-160
Coauthor Index
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