André V. Carreiro

27 papers Journal 17Unranked 10

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	"What's Happening in This Line?" Eliciting Human Concepts and Mental Models in Time Series Interpretation. CHI Extended Abstracts Matilde Silva, Ricardo Melo, André V. Carreiro, Duarte Folgado
2026	J	`jnl`	Counterfactual Fairness with Graph Uncertainty. CoRR Davi Valério, Chrysoula Zerva, Mariana Pinto, Ricardo Santos, André V. Carreiro
2026	—	`conf`	Towards Data Quality-Aware Dataset Distillation in Bioimaging. BIOSTEC (2) Bárbara Capelo, Maria Russo, André V. Carreiro, Hugo Gamboa, Duarte Folgado
2025	—	`conf`	Evaluating Coreset Selection with Coverage and Density: A Data Quality Perspective. EPIA (1) Bárbara Capelo, Maria Russo, André V. Carreiro, Hugo Gamboa, Duarte Folgado
2025	J	`jnl`	HomeSenseALS: A Mobile Sensing and Self-Monitoring System to Monitor Patients with ALS in Everyday Life. ACM Trans. Comput. Heal. Duarte Folgado, Pedro S. Rocha, Pedro Matias, Diana Liebetrau, Francisco Nunes, Tiago Rocha, Inês Alves, Diana Lopes, Mamede de Carvalho, Bruno Miranda, André V. Carreiro
2025	J	`jnl`	Improving Representation Learning of Complex Critical Care Data with ICU-BERT. CoRR Ricardo Santos, André V. Carreiro, Xi Peng, Hugo Gamboa, Holger Fröhlich
2025	—	`conf`	Subgroup Discovery Using Model Uncertainty: A Feasibility Study. EPIA (1) Ana Cravidão Pereira, Duarte Folgado, Marília Barandas, Carlos Soares, André V. Carreiro
2024	J	`jnl`	Deep learning for ECG classification: A comparative study of 1D and 2D representations and multimodal fusion approaches. Biomed. Signal Process. Control. Hemaxi Narotamo, Mariana Dias, Ricardo Santos, André V. Carreiro, Hugo Gamboa, Margarida Silveira
2024	J	`jnl`	Predicting post-discharge complications in cardiothoracic surgery: A clinical decision support system to optimize remote patient monitoring resources. Int. J. Medical Informatics Ricardo Santos, Bruno Ribeiro, Inês Sousa, Jorge Santos, Federico Guede-Fernández, Pedro Dias, André V. Carreiro, Hugo Gamboa, Pedro Coelho, José Fragata, Ana Londral
2024	J	`jnl`	The Matrix Reloaded: Towards Counterfactual Group Fairness in Machine Learning. J. Data-centric Mach. Learn. Res. Mariana Pinto, André V. Carreiro, Pedro Madeira, Alberto Lopez, Hugo Gamboa
2024	J	`jnl`	Unlocking the Potential of Large Language Models for Clinical Text Anonymization: A Comparative Study. CoRR David Pissarra, Isabel Curioso, João Alveira, Duarte Pereira, Bruno Ribeiro, Tomas Souper, Vasco Gomes, André V. Carreiro, Vitor Rolla
2023	J	`jnl`	A morphology-based feature set for automated Amyotrophic Lateral Sclerosis diagnosis on surface electromyography. Biomed. Signal Process. Control. Margarida Antunes, Duarte Folgado, Marília Barandas, André V. Carreiro, Carla Quintão, Mamede de Carvalho, Hugo Gamboa
2023	J	`jnl`	Addressing the Curse of Missing Data in Clinical Contexts: A Novel Approach to Correlation-based Imputation. J. King Saud Univ. Comput. Inf. Sci. Isabel Curioso, Ricardo Santos, Bruno Ribeiro, André V. Carreiro, Pedro Coelho, José Fragata, Hugo Gamboa
2023	—	`conf`	CORKI: A Correlation-Driven Imputation Method for Partial Annotation Scenarios in Multi-label Clinical Problems. PKDD/ECML Workshops (4) Ricardo Santos, Bruno Ribeiro, Isabel Curioso, Marília Barandas, André V. Carreiro, Hugo Gamboa, Pedro Coelho, José Fragata, Inês Sousa
2023	J	`jnl`	Exploring Regularization Methods for Domain Generalization in Accelerometer-Based Human Activity Recognition. Sensors Nuno Bento, Joana Rebelo, André V. Carreiro, François Ravache, Marília Barandas
2023	J	`jnl`	Quantifying the Displacement of Data Matrix Code Modules: A Comparative Study of Different Approximation Approaches for Predictive Maintenance of Drop-on-Demand Printing Systems. J. Imaging Peter Bischoff, André V. Carreiro, Christiane Schuster, Thomas Härtling
2023	—	`conf`	Speech-Based Supervised Learning Towards the Diagnosis of Amyotrophic Lateral Sclerosis. BIOSIGNALS Ricardo Cebola, Duarte Folgado, André V. Carreiro, Hugo Gamboa
2023	—	`conf`	ZEBRA: Explaining Rare Cases Through Outlying Interpretable Concepts. XAI4CV Pedro Madeira, André V. Carreiro, Alex Gaudio, Luís Rosado, Filipe Soares, Asim Smailagic
2023	—	`conf`	ZEBRA: Explaining rare cases through outlying interpretable concepts. CVPR Workshops Pedro Madeira, André V. Carreiro, Alex Gaudio, Luís Rosado, Filipe Soares, Asim Smailagic
2022	J	`jnl`	Clinically Relevant Sound-Based Features in COVID-19 Identification: Robustness Assessment With a Data-Centric Machine Learning Pipeline. IEEE Access Pedro Matias, João Costa, André V. Carreiro, Hugo Gamboa, Inês Sousa, Pedro Gómez, Joana Sousa, Nuno Neuparth, Pedro Carreiro-Martins, Filipe Soares
2022	J	`jnl`	Comparing Handcrafted Features and Deep Neural Representations for Domain Generalization in Human Activity Recognition. Sensors Nuno Bento, Joana Rebelo, Marília Barandas, André V. Carreiro, Andrea Campagner, Federico Cabitza, Hugo Gamboa
2022	J	`jnl`	Impact of Generative Modeling for Fundus Image Augmentation With Improved and Degraded Quality in the Classification of Glaucoma. IEEE Access Ricardo Leonardo, João Gonçalves, André V. Carreiro, Beatriz Simões, Tiago Oliveira, Filipe Soares
2022	J	`jnl`	Posture Risk Assessment in an Automotive Assembly Line Using Inertial Sensors. IEEE Access Maria Lua Nunes, Duarte Folgado, Carlos Fujão, Luís Silva, João Rodrigues, Pedro Matias, Marília Barandas, André V. Carreiro, Sara C. Madeira, Hugo Gamboa
2021	—	`conf`	Robust Anomaly Detection in Time Series through Variational AutoEncoders and a Local Similarity Score. BIOSIGNALS Pedro Matias, Duarte Folgado, Hugo Gamboa, André V. Carreiro
2020	J	`jnl`	An Infrastructure-Free Magnetic-Based Indoor Positioning System with Deep Learning. Sensors Letícia Fernandes, Sara Santos, Marília Barandas, Duarte Folgado, Ricardo Leonardo, Ricardo Santos, André V. Carreiro, Hugo Gamboa
2020	—	`conf`	Fraunhofer AICOS at CLEF eHealth 2020 Task 1: Clinical Code Extraction From Textual Data Using Fine-Tuned BERT Models. CLEF (Working Notes) João Costa, Inês Lopes, André V. Carreiro, David Ribeiro, Carlos Soares
2018	J	`jnl`	Screening diabetes mellitus 2 based on electronic health records using temporal features. Health Informatics J. Angela Pimentel, André V. Carreiro, Rogério T. Ribeiro, Hugo Gamboa