3 papers
stat.ML2026
A two-step sequential approach for hyperparameter selection in finite context models
José Contente, Ana Martins, Armando J. Pinho +1
Finite-context models (FCMs) are widely used for compressing symbolic sequences such as DNA, where predictive performance depends critically on the context length k and smoothing p…
cs.CL2025
Decoding the Past: Explainable Machine Learning Models for Dating Historical Texts
Paulo J. N. Pinto, Armando J. Pinho, Diogo Pratas
Accurately dating historical texts is essential for organizing and interpreting cultural heritage collections. This article addresses temporal text classification using interpretab…
cs.CL2024
AIDetx: a compression-based method for identification of machine-learning generated text
Leonardo Almeida, Pedro Rodrigues, Diogo Magalhães +2
This paper introduces AIDetx, a novel method for detecting machine-generated text using data compression techniques. Traditional approaches, such as deep learning classifiers, ofte…