Towards Representation Learning for Biomedical Concept Detection in Medical Images: UA.PT Bioinformatics in ImageCLEF 2017. - Eduardo Pinho; João Figueira Silva; Jorge Miguel Silva; Carlos Costa 001 (CLEF (Working Notes), 2017)

3D-CNN in Drug Resistance Detection and Tuberculosis Classification. - João Figueira Silva; Jorge Miguel Silva; Eduardo Pinho; Carlos Costa 001 (CLEF (Working Notes), 2017)

Face De-Identification Service for Neuroimaging Volumes. - Jorge Miguel Silva; António Guerra; João Figueira Silva; Eduardo Pinho; Carlos Costa 001 (CBMS, 2018)

Ejection Fraction Classification in Transthoracic Echocardiography Using a Deep Learning Approach. - João Figueira Silva; Jorge Miguel Silva; António Guerra; Sérgio Matos; Carlos Costa 001 (CBMS, 2018)

Reactive Through Services - Opinionated Framework for Developing Reactive Services. - Micael Pedrosa; Jorge Miguel 002; Carlos Costa 001 (CLOSER, 2018)

SCREEN-DR - Software Architecture for the Diabetic Retinopathy Screening. - Micael Pedrosa; Jorge Miguel Silva; Sérgio Matos; Carlos Costa 001 (MIE, 2018)

SCREEN-DR: Collaborative platform for diabetic retinopathy. - Micael Pedrosa; Jorge Miguel Silva; João Figueira Silva; Sérgio Matos; Carlos Costa 001 (Int. J. Medical Informatics, 2018)

Controlled searching in reversibly de-identified medical imaging archives. - Jorge Miguel Silva; Eduardo Pinho; Eriksson J. Melicio Monteiro; João Figueira Silva; Carlos Costa 001 (J. Biomed. Informatics, 2018)

A community-driven validation service for standard medical imaging objects. - Jorge Miguel Silva; Tiago Marques Godinho; David Silva; Carlos Costa 001 (Comput. Stand. Interfaces, 2019)

A Reference-Free Lossless Compression Algorithm for DNA Sequences Using a Competitive Prediction of Two Classes of Weighted Models. - Diogo Pratas; Seyed Morteza Hosseini; Jorge Miguel 002; Armando J. Pinho (Entropy, 2019)

Dicoogle Framework for Medical Imaging Teaching and Research. - Rui Lebre; Eduardo Pinho; Jorge Miguel Silva; Carlos Costa 001 (ISCC, 2020)

Statistical Complexity Analysis of Turing Machine tapes with Fixed Algorithmic Complexity Using the Best-Order Markov Model. - Jorge Miguel Silva; Eduardo Pinho; Sérgio Matos; Diogo Pratas (Entropy, 2020)

Persistent minimal sequences of SARS-CoV-2. - Diogo Pratas; Jorge Miguel Silva (Bioinform., 2021)

Automatic analysis of artistic paintings using information-based measures. - Jorge Miguel Silva; Diogo Pratas; Rui Antunes 002; Sérgio Matos; Armando J. Pinho (Pattern Recognit., 2021)

The value of compression for taxonomic identification. - Jorge Miguel Silva; João Rafael Almeida (CBMS, 2022)

Classifying and discovering genomic sequences in metagenomic repositories. - Jorge Miguel Silva; João Rafael Almeida; José Luís Oliveira (CENTERIS/ProjMAN/HCist, 2022)

Characterizing Genomics Repositories Using Feature-Based Classification. - Jorge Miguel Silva; João Rafael Almeida (EFMI-STC, 2022)

Feature-Based Classification of Archaeal Sequences Using Compression-Based Methods. - Jorge Miguel Silva; Diogo Pratas; Tânia Caetano; Sérgio Matos (IbPRIA, 2022)

A FAIR Approach to Real-World Health Data Management and Analysis. - João Rafael Almeida; Jorge Miguel Silva; José Luís Oliveira (CBMS, 2023)

SecureFASTA: Ensuring privacy and trust when sharing genomic data. - Diniz Cruz; João Rafael Almeida; Jorge Miguel Silva; José Luís Oliveira (CBMS, 2023)

BIT.UA at BioASQ 11B: Two-Stage IR with Synthetic Training and Zero-Shot Answer Generation. - Tiago Melo Almeida; Richard Adolph Aires Jonker; Roshan Poudel; Jorge Miguel Silva; Sérgio Matos (CLEF (Working Notes), 2023)

BIT.UA at MedProcNer: Discovering Medical Procedures in Spanish Using Transformer Models with MCRF and Augmentation. - Tiago Melo Almeida; Richard Adolph Aires Jonker; Roshan Poudel; Jorge Miguel Silva; Sérgio Matos (CLEF (Working Notes), 2023)

Exploring Kolmogorov Complexity Approximations for Data Analysis: Insights and Applications. - Jorge Miguel Silva; Diogo Pratas; Sérgio Matos (DoCEIS, 2023)

Optimizing Variant Calling for Human Genome Analysis: A Comprehensive Pipeline Approach. - Miguel Pinheiro; Jorge Miguel Silva; José Luís Oliveira (IWBBIO (2), 2023)

The role of alliance portfolio diversity on firm innovation and performance: the case of Colombia. - Gabriel Lima Silva Queiroz; Fábio de Oliveira Paula; Jorge Miguel Ferreira da Silva (Technol. Anal. Strateg. Manag., 2023)

HealthDBFinder: a question-answering task for health database discovery. - João Rafael Almeida; Jorge Miguel Silva; Luís Carlos Afonso; Tiago Melo Almeida; Rui Antunes 002; Richard A. A. Jonker; João António Reis; Dimitri Alexandre da Silva; Sérgio Matos; José Luís Oliveira (CBMS, 2024)

A comprehensive study of databases to assess the reliability of metagenomic tools. - Inês Branco Martins; Jorge Miguel Silva; João Rafael Almeida (CIBCB, 2024)

BIT.UA at iDPP: Predictive Analytics on ALS Disease Progression Using Sensor Data with Machine Learning. - Jorge Miguel Silva; José Luís Oliveira (CLEF (Working Notes), 2024)

Ahead of Time Prediction of Decorated Particleboard Production Disruptions and Defects Using Single and Multi-Target AutoML. - Arthur Matta; Luís Miguel Matos; André Luiz Pilastri; Jorge Miguel Silva; Miguel Bastos Gomes; Paulo Cortez 001 (KES, 2024)

Enhancing metagenomic classification with compression-based features. - Jorge Miguel Silva; João Rafael Almeida (Artif. Intell. Medicine, 2024)

A Federated Random Forest Solution for Secure Distributed Machine Learning. - Alexandre Cotorobai; Jorge Miguel Silva; José Luís Oliveira (CBMS, 2025)