MS AMLV 2022 Proceedings

Masters Symposium on Advances in Data Mining, Machine Learning, and Computer Vision

Proceedings of the Masters Symposium on Advances in Data Mining, Machine Learning, and Computer Vision

Lviv, Ukraine,  March 24-25, 2023.

Edited by

Vadim Ermolayev * Oleksii Molchanovskyi ** Yaroslav Prytula **

* Zaporizhzhia National University, Dept of Computer Science, 69600 Zaporizhzhia, Ukraine ** Ukrainian Catholic University, Faculty of Applied Sciences, 79011 Lviv, Ukraine

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Table of Contents

• Preface
• Committees and Organizers

          Part I. Video and Signal Processing

• EEG signal preprocessing with Byte-Pair Encoding Mykola Klymenko and Vasily Vakorin
• Weakly Supervised Anomaly Detection in Industrial Processes through Video Recognition Vladyslav Kutsuruk and Viktor Sakharchuk
• EEG based BrainAGE estimation with Deep Learning Ostap Hembara and Vasily Vakorin 

          Part II. Object Detection and Tracking

• Variational Bayesian Kalman filtering with unknown process and measurement noise covariance matrices Tom´aˇs Vlk and Kamil Dedecius 
• MobileTrack: Efficient Siamese Neural Network for Mobile Object Tracking Vasyl Borsuk and Orest Kupyn
• Balancing between real and synthetic data for object detection in automotive vehicle domain Roman Ilechko and Viktor Sdobnikov 

          Part III. Image Processing

• Polyp detection and segmentation from endoscopy images Mariia Kokshaikyna, Mariia Dobko, and Oles Dobosevych
• One-shot Facial Expression Reenactment using 3D Morphable Models Roman Vei, Eugene Khvedchenya, and Orest Kupyn
• Application of the textural transformer to the task of super resolution with reference Teodor Romanus, Roman Riazantsev, and Maksym Davydov
• Multi-temporal Satellite Imagery Panoptic Segmentation of Agricultural Land in Ukraine Marian Petruk and Taras Firman
• Semantic segmentation for microscopy images using the Voronoi diagrams Anton Borkivskyi and Andrii Babii
• Improving kidney tumor segmentation on 3D computed tomography scans Iryna Zakharchenko and Dmytro Fishman

          Part IV. Natural Language and Speech Processing

• Personalizing Large Language Models Khrystyna Skopyk, Artem Chernodub, and Vipul Raheja
• Speech keywords extraction Anton Babenko and Oleksii Ignatenko
• Training Open-Domain Conversational Model for the Ukrainian Language Bykhanova Liza and Oleksiy Syvokon
• Natural language processing while maintaining data privacy Oleksandr Yermilov, Artem Chernodub, and Vipul Raheja

          Part V. Reinforcement Learning

• Strategic price management for retail. Dynamic pricing using deep reinforcement learning for real-world scenarios Andrii Dashkovets and Pablo Maldonado
• Exploration of Reinforcement Learning agent in procedurally-generated environments with sparse rewards Oleksii Nahirnyi and Pablo Maldonado

          Part VI. Data Analytics and Recommender Systems

• Proteomic and Metabolic Biomarkers for Endometrium Carcinoma Detection Anastasia Holovenko and Dmytro Fishman
• Large-scale product classification to recommend suppliers in procurement systems Ihor Hrysha and Samuel Grondahl