15 citations · 25 across the 8 of their papers we have counts for
8 papers
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…
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…
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…
An experimental sorting method for improving metagenomic data encoding
Diogo Pratas, Armando J. Pinho
Minimizing data storage poses a significant challenge in large-scale metagenomic projects. In this paper, we present a new method for improving the encoding of FASTQ files generate…
Automatic analysis of artistic paintings using information-based measures
Jorge Miguel Silva, Diogo Pratas, Rui Antunes +2
The artistic community is increasingly relying on automatic computational analysis for authentication and classification of artistic paintings. In this paper, we identify hidden pa…
Extended-Alphabet Finite-Context Models
João M. Carvalho, Susana Brás, Diogo Pratas +3
The Normalized Relative Compression (NRC) is a recent dissimilarity measure, related to the Kolmogorov Complexity. It has been successfully used in different applications, like DNA…
Information profiles for DNA pattern discovery
Armando J. Pinho, Diogo Pratas, Paulo J. S. G. Ferreira
Finite-context modeling is a powerful tool for compressing and hence for representing DNA sequences. We describe an algorithm to detect genomic regularities, within a blind discove…
A conditional compression distance that unveils insights of the genomic evolution
Diogo Pratas, Armando J. Pinho
We describe a compression-based distance for genomic sequences. Instead of using the usual conjoint information content, as in the classical Normalized Compression Distance (NCD),…