1 citations · 1 across the 10 of their papers we have counts for
10 papers
A Data-Driven Approach to State Construction in Markov Models
Linde Van Gestel, Marie-Anne Guerry, Evy Rombaut
A Markov chain is a widely used stochastic process modelling random events over time. These models are built on subsets of the entire dataset, referred to as states, which are cons…
On the Spectral Region of 4-Cycle Stochastic Matrices
Brando Vagenende, Brecht Verbeken, Brecht F. Verbeken +2
We study the spectrum of 4-cycle row-stochastic matrices. For real eigenvalues the spectral region is [-1,1]. For nonreal eigenvalues a+ib we derive necessary conditions in terms o…
Nonnegativity of the second largest eigenvalue of tridiagonal stochastic matrices
Brando Vagenende, Brecht Verbeken, Brecht F. Verbeken +1
The spectral study of nonnegative and more specifically stochastic matrices is an important topic in matrix theory. In this paper, we prove a conjecture, formulated by Ran and Teng…
Human-in-the-Loop LLM Grading for Handwritten Mathematics Assessments
Arne Vanhoyweghen, Vincent Holst, Melika Mobini +10
Providing timely and individualised feedback on handwritten student work is highly beneficial for learning but difficult to achieve at scale. This challenge has become more pressin…
Early Evidence of Vibe-Proving with Consumer LLMs: A Case Study on Spectral Region Characterization with ChatGPT-5.2 (Thinking)
Brecht Verbeken, Brecht F. Verbeken, Brando Vagenende +3
Large Language Models (LLMs) are increasingly used as scientific copilots, but evidence on their role in research-level mathematics remains limited, especially for workflows access…
Eigenvalue regions and realising monotone stochastic matrices
Brando Vagenende, Brecht Verbeken, Brecht F. Verbeken +1
Eigenvalues of stochastic matrices have been studied from two complementary perspectives. The individual eigenvalues are characterised through the well-established Karpelevich regi…
State Re-union Maintainability for Semi-Markov Models in Manpower Planning
Brecht Verbeken, Brecht F. Verbeken, Marie-Anne Guerry
In previous research the importance of both Markov and semi-Markov models in manpower planning is highlighted. Maintainability of population structures for different types of perso…
The Markov chain embedding problem in a low jump frequency context
Philippe Carette, Marie-Anne Guerry
We consider the problem of finding the transition rates of a continuous-time homogeneous Markov chain under the empirical condition that the state changes at most once during a tim…
Cost-Sensitive Stacking: an Empirical Evaluation
Natalie Lawrance, Marie-Anne Guerry, George Petrides
Many real-world classification problems are cost-sensitive in nature, such that the misclassification costs vary between data instances. Cost-sensitive learning adapts classificati…
To do or not to do: cost-sensitive causal decision-making
Diego Olaya, Wouter Verbeke, Jente Van Belle +1
Causal classification models are adopted across a variety of operational business processes to predict the effect of a treatment on a categorical business outcome of interest depen…