Proceedings of the10th Student Computing Research Symposium (SCORES’24)
Keywords:
financial crime, detection and investigation, organised crime, white-collar crime, economic crimeSynopsis
The 2024 Student Computing Research Symposium (SCORES 2024), organized by the Faculty of Electrical Engineering and Computer Science at the University of Maribor (UM FERI) in collaboration with the University of Ljubljana and the University of Primorska, showcases innovative student research in computer science. This year’s symposium highlights advancements in fields such as artificial intelligence, data science, machine learning algorithms, computational problem-solving, and healthcare data analysis. The primary goal of SCORES 2024 is to provide a platform for students to present their research, fostering early engagement in academic inquiry. Beyond research presentations, the symposium seeks to create an environment where students from different institutions can meet, exchange ideas, and build lasting connections. It aims to cultivate friendships and future research collaborations among emerging scholars. Additionally, the conference offers an opportunity for students to interact with senior researchers from institutions beyond their own, promoting mentorship and broader academic networking.
Chapters
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Influence of Graph Characteristics on Solutions of Feedback Arc Set Problem
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Learning Multi-Level Skill Hierarchies with Graphwave
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Integration of Named Entity Extraction Based on Deep Learning for Neo4j Graph Database
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Efficient Implementation of Spreadsheet User Application
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Improvement and Evaluation of a Heuristic Method for the Minimal Feedback Arc Set Problem
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Counter-Strike Character Object Detection via Dataset Generation
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Cross-Lingual False Friend Classification via LLM-based Vector Embedding Analysis
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Analyzing tourist destinations in Belgrade using geotagged photos from Flickr
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Volleyball Game Analysis Using Computer Vision Algorithms
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A Bayesian Approach to Modeling GPS Errors for Comparing Forensic Evidence
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Seven Components of Computational Thinking: Assessing the Quality of Dr. Scratch Metrics Using 230,000 Scratch Projects
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Machine Learning Approaches to Forecasting the Winner of the 2024 NBA Championship
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Hit Song Prediction Through Machine Learning and Spotify Data
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A Data-Driven Approach for the Analysis of Ridership Fluctuations in Transit Systems
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Automatic Assessment of Bradykinesia in Parkinson’s Disease Using Tapping Videos
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Exploring Mathematical Decision-Making Through EEG Analysis
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Analysis of Verbal Fluency in Slovenian Language in Patients With Schizophrenia