Biclustering-Based Classification of Clinical Expression Time Series: A Case Study in Patients with Multiple Sclerosis. - André Valério Carreiro; Orlando Anunciação; João A. Carriço; Sara C. Madeira (PACBB, 2011)

Prognostic Prediction through Biclustering-Based Classification of Clinical Gene Expression Time Series. - André Valério Carreiro; Orlando Anunciação; João André Carriço; Sara Cordeiro Madeira (J. Integr. Bioinform., 2011)

Prognostic Prediction Using Clinical Expression Time Series: Towards a Supervised Learning Approach Based on Meta-biclusters. - André Valério Carreiro; Artur J. Ferreira; Mário A. T. Figueiredo; Sara C. Madeira (PACBB, 2012)

Towards a Classification Approach using Meta-Biclustering: Impact of Discretization in the Analysis of Expression Time Series. - André Valério Carreiro; Artur J. Ferreira; Mário A. T. Figueiredo; Sara Cordeiro Madeira (J. Integr. Bioinform., 2012)

Prognostic models based on patient snapshots and time windows: Predicting disease progression to assisted ventilation in Amyotrophic Lateral Sclerosis. - André Valério Carreiro; Pedro M. T. Amaral; Susana Pinto; Pedro Tomás; Mamede de Carvalho; Sara C. Madeira (J. Biomed. Informatics, 2015)

Screening diabetes mellitus 2 based on electronic health records using temporal features. - Angela Pimentel; André V. Carreiro; Rogério T. Ribeiro; Hugo Gamboa (Health Informatics J., 2018)

Fraunhofer AICOS at CLEF eHealth 2020 Task 1: Clinical Code Extraction From Textual Data Using Fine-Tuned BERT Models. - João Costa; Inês Lopes; André V. Carreiro; David Ribeiro; Carlos Soares (CLEF (Working Notes), 2020)

An Infrastructure-Free Magnetic-Based Indoor Positioning System with Deep Learning. - Letícia Fernandes; Sara Santos; Marília Barandas; Duarte Folgado; Ricardo Leonardo; Ricardo Santos 006; André V. Carreiro; Hugo Gamboa (Sensors, 2020)

Robust Anomaly Detection in Time Series through Variational AutoEncoders and a Local Similarity Score. - Pedro Matias 002; Duarte Folgado; Hugo Gamboa; André V. Carreiro (BIOSIGNALS, 2021)

Impact of Generative Modeling for Fundus Image Augmentation With Improved and Degraded Quality in the Classification of Glaucoma. - Ricardo Leonardo; João Gonçalves; André V. Carreiro; Beatriz Simões; Tiago Oliveira 004; Filipe Soares (IEEE Access, 2022)

Clinically Relevant Sound-Based Features in COVID-19 Identification: Robustness Assessment With a Data-Centric Machine Learning Pipeline. - Pedro Matias 002; João Costa; André V. Carreiro; Hugo Gamboa; Inês Sousa; Pedro Gómez 001; Joana Sousa; Nuno Neuparth; Pedro Carreiro-Martins; Filipe Soares (IEEE Access, 2022)

Posture Risk Assessment in an Automotive Assembly Line Using Inertial Sensors. - Maria Lua Nunes; Duarte Folgado; Carlos Fujão; Luís Silva; João Rodrigues; Pedro Matias 002; Marília Barandas; André V. Carreiro; Sara C. Madeira; Hugo Gamboa (IEEE Access, 2022)

Comparing Handcrafted Features and Deep Neural Representations for Domain Generalization in Human Activity Recognition. - Nuno Bento; Joana Rebelo; Marília Barandas; André V. Carreiro; Andrea Campagner; Federico Cabitza; Hugo Gamboa (Sensors, 2022)

Speech-Based Supervised Learning Towards the Diagnosis of Amyotrophic Lateral Sclerosis. - Ricardo Cebola; Duarte Folgado; André V. Carreiro; Hugo Gamboa (BIOSIGNALS, 2023)

ZEBRA: Explaining rare cases through outlying interpretable concepts. - Pedro Madeira 001; André V. Carreiro; Alex Gaudio; Luís Rosado; Filipe Soares; Asim Smailagic (CVPR Workshops, 2023)

CORKI: A Correlation-Driven Imputation Method for Partial Annotation Scenarios in Multi-label Clinical Problems. - Ricardo Santos 006; Bruno Ribeiro 009; Isabel Curioso; Marília Barandas; André V. Carreiro; Hugo Gamboa; Pedro Coelho; José Fragata; Inês Sousa (PKDD/ECML Workshops (4), 2023)

A morphology-based feature set for automated Amyotrophic Lateral Sclerosis diagnosis on surface electromyography. - Margarida Antunes; Duarte Folgado; Marília Barandas; André V. Carreiro; Carla Quintão; Mamede de Carvalho; Hugo Gamboa (Biomed. Signal Process. Control., 2023)

Quantifying the Displacement of Data Matrix Code Modules: A Comparative Study of Different Approximation Approaches for Predictive Maintenance of Drop-on-Demand Printing Systems. - Peter Bischoff; André V. Carreiro; Christiane Schuster; Thomas Härtling (J. Imaging, 2023)

Addressing the Curse of Missing Data in Clinical Contexts: A Novel Approach to Correlation-based Imputation. - Isabel Curioso; Ricardo Santos 006; Bruno Ribeiro 009; André V. Carreiro; Pedro Coelho; José Fragata; Hugo Gamboa (J. King Saud Univ. Comput. Inf. Sci., 2023)

Exploring Regularization Methods for Domain Generalization in Accelerometer-Based Human Activity Recognition. - Nuno Bento; Joana Rebelo; André V. Carreiro; François Ravache; Marília Barandas (Sensors, 2023)

Deep learning for ECG classification: A comparative study of 1D and 2D representations and multimodal fusion approaches. - Hemaxi Narotamo; Mariana Dias; Ricardo Santos 006; André V. Carreiro; Hugo Gamboa; Margarida Silveira (Biomed. Signal Process. Control., 2024)

Unlocking the Potential of Large Language Models for Clinical Text Anonymization: A Comparative Study. - David Pissarra; Isabel Curioso; João Alveira; Duarte Pereira; Bruno Ribeiro 009; Tomas Souper; Vasco Gomes; André V. Carreiro; Vitor Rolla (CoRR, 2024)

Predicting post-discharge complications in cardiothoracic surgery: A clinical decision support system to optimize remote patient monitoring resources. - Ricardo Santos 006; Bruno Ribeiro 009; Inês Sousa; Jorge Santos; Federico Guede-Fernández; Pedro Dias; André V. Carreiro; Hugo Gamboa; Pedro Coelho; José Fragata; Ana Londral (Int. J. Medical Informatics, 2024)

Improving Representation Learning of Complex Critical Care Data with ICU-BERT. - Ricardo Santos 006; André V. Carreiro; Xi Peng; Hugo Gamboa; Holger Fröhlich (CoRR, 2025)