3 papers
cs.IT2026
The 2026 Algorithmic Information Theory Data Compression Challenge
André Ribeiro, Rúben Garrido, Violeta Ramos +28
Lossless data compression remains central to computer science, with direct impact on storage, communication bandwidth, computational cost, and energy consumption. It is also closel…
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…