19 citations · 28 across the 3 of their papers we have counts for
3 papers
cs.LG2024★ 19 cited
Quotient Normalized Maximum Likelihood Criterion for Learning Bayesian Network Structures
Tomi Silander, Janne Leppä-aho, Elias Jääsaari +1
We introduce an information theoretic criterion for Bayesian network structure learning which we call quotient normalized maximum likelihood (qNML). In contrast to the closely rela…
cs.CY2024★ 3 cited
An Educational Tool for Learning about Social Media Tracking, Profiling, and Recommendation
Nicolas Pope, Juho Kahila, Jari Laru +3
This paper introduces an educational tool for classroom use, based on explainable AI (XAI), designed to demystify key social media mechanisms - tracking, profiling, and content rec…
physics.plasm-ph2023★ 6 cited
Graph Representation of the Magnetic Field Topology in High-Fidelity Plasma Simulations for Machine Learning Applications
Ioanna Bouri, Fanni Franssila, Markku Alho +4
Topological analysis of the magnetic field in simulated plasmas allows the study of various physical phenomena in a wide range of settings. One such application is magnetic reconne…