13 papers
Comparing Probabilistic Influence-Spreading Centralities to Commonly-Used Centrality Measures in Directed and Weighted Networks
Juuso Luhtala, Vesa Kuikka, Kimmo K. Kaski
The Influence-Spreading Model (ISM) introduces three probabilistic centrality measures: out-centrality, in-centrality, and ISM betweenness centrality. Out-centrality measures the a…
Enhanced robustness of evolving systems with bipartite topology
Fumiko Ogushi, Kimmo Kaski, Takashi Shimada
Evolving open systems, in which new entities are continually introduced and those turning unfit go extinct, exhibit a phase transition between a diverging phase, where the system s…
Spatio-Temporal Attention Graph Neural Network: Explaining Causalities With Attention
Kosti Koistinen, Kirsi Hellsten, Joni Herttuainen +1
Industrial Control Systems (ICS) underpin critical infrastructure and face growing cyber-physical threats due to the convergence of operational technology and networked environment…
Integrating Network and Attack Graphs for Service-Centric Impact Analysis
Joni Herttuainen, Vesa Kuikka, Kimmo K. Kaski
Cyberattacks on enterprise networks exploit complex dependencies among infrastructure, services, and applications, which challenge traditional analysis methods that focus on attack…
Dynamical Model for the Sustainable Development Goals
Alberto GarcÃa-RodrÃguez, Tzipe Govezensky, Julia Tagüeña +2
The 2030 Agenda for Sustainable Development of the United Nations outlines 17 goals as global challenges for countries of the world to address in their development. However, the pr…
Automating Clinical Information Retrieval from Finnish Electronic Health Records Using Large Language Models
Mikko Saukkoriipi, Nicole Hernandez, Jaakko Sahlsten +2
Clinicians often need to retrieve patient-specific information from electronic health records (EHRs), a task that is time-consuming and error-prone. We present a locally deployable…