Feature-Based Emotion Classification Using Eye-Tracking Data Biomarker Prediction in Colorectal Cancer Using Multiple Instance Learning Predicting Mental States During VR Sessions Using Sensor Data and Machine Learning SmartCHANGE Risk Prediction Tool: Demonstrating Risk Assessment for Children and Youth Predicting hydrogen adsorption energies on platinum nanoparticles and surfaces with machine learning Minimizing Costs and Risks in Demand Response Optimization: Insights from Initial Experiments Towards a Decision Support System for Project Planning: Multi-Criteria Evaluation of Past Projects Success Multi-Agent System for Autonomous Table Football: A Winning Strategy Optimization Problem Inspector: A Tool for Analysis of Industrial Optimization Problems and Their Solutions Ethical Consideration and Sociological Challenges in the Integration of Artificial Intelligence in Mental Health Services Puzzle Generation for Ultimate-Tic-Tac-Toe Predicting Health-Related Absenteeism with Machine Learning: A Case Study Multi-modal Data Collection and Preliminary Statistical Analysis for Cognitive Load Assessment Comparison of Feature- and Embedding-based Approaches for Audio and Visual Emotion Classification Performance Comparison of Axle Weight Prediction Algorithms on Time-Series Data Speech-to-Service: Using LLMs to Facilitate Recording of Services in Healthcare Sarcasm Detection in a Less-Resourced Language Predictive Modeling of Football Results in the WWIN League of Bosnia and Herzegovina Choosing Features for Stress Prediction with Machine Learning PandaChat-RAG: Towards the Benchmark for Slovenian RAG Applications
