2 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.LG2026
Command-Space Counterfactual Explanations for Pareto-Conditioned Reinforcement Learning
Joanikij Chulev, Hendrik Baier
Pareto Conditioned Networks learn multiple multi-objective reinforcement learning behaviours by conditioning a single policy on a desired return command. However, the local mapping…
cs.LG2025
Line Space Clustering (LSC): Feature-Based Clustering using K-medians and Dynamic Time Warping for Versatility
Joanikij Chulev, Angela Mladenovska
Clustering high-dimensional data is a critical challenge in machine learning due to the curse of dimensionality and the presence of noise. Traditional clustering algorithms often f…
cs.SD2024★ 2 cited
Improving Musical Instrument Classification with Advanced Machine Learning Techniques
Joanikij Chulev
Musical instrument classification, a key area in Music Information Retrieval, has gained considerable interest due to its applications in education, digital music production, and c…