3 papers
eess.SY2025
Maximum Likelihood Estimation of Dynamic Sub-Networks with Missing Data
João Victor Galvão da Mata, Anders Hansson, Martin S. Andersen
Maximum likelihood estimation is effective for identifying dynamical systems, but applying it to large networks becomes computationally prohibitive. This paper introduces a maximum…
cs.IR2025
SPELUNKER: Item Similarity Search Using Large Language Models and Custom K-Nearest Neighbors
Ana Rodrigues, João Mata, Rui Rego
This paper presents a hybrid system for intuitive item similarity search that combines a Large Language Model (LLM) with a custom K-Nearest Neighbors (KNN) algorithm. Unlike black-…
eess.SY2025
Maximum Likelihood Estimation for System Identification of Networks of Dynamical Systems
Anders Hansson, João Victor Galvão da Mata, Martin S. Andersen
This paper investigates maximum likelihood estimation for direct system identification in networks of dynamical systems. We establish that the proposed approach is both consistent…