4 papers
Population-Level Profiling of DSM-5 Depressive Symptoms Among Self-Reported ADHD and ASD Users on Twitter: An Exploratory Study Using Advanced NLP and Statistical Analysis
Muhammad Rizwan, David Nabergoj, Jure Demšar
Background: Depression frequently co-occurs with ADHD and autism spectrum disorder (ASD), but population-level differences in symptom expression between these groups remain underex…
Generating Diverse Synthetic Datasets for Evaluation of Real-life Recommender Systems
Miha Malenšek, Blaž Škrlj, Blaž Mramor +1
Synthetic datasets are important for evaluating and testing machine learning models. When evaluating real-life recommender systems, high-dimensional categorical (and sparse) datase…
Prevalent Frequency of Emotional and Physical Symptoms in Social Anxiety using Zero Shot Classification: An Observational Study
Muhammad Rizwan, Jure Demšar
Social anxiety represents a prevalent challenge in modern society, affecting individuals across personal and professional spheres. Left unaddressed, this condition can yield substa…
Zero-Shot Reasoning: Personalized Content Generation Without the Cold Start Problem
Davor Hafnar, Jure Demšar
Procedural content generation uses algorithmic techniques to create large amounts of new content for games at much lower production costs. In newer approaches, procedural content g…