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Identification

Personal identification

Full name
André Valério Raposo Carreiro

Citation names

  • Carreiro, André V.

Author identifiers

Ciência ID
2119-47C3-36D0
ORCID iD
0000-0002-4234-5336
Google Scholar ID
7bHIn-gAAAAJ&hl

Email addresses

  • andre.carreiro@fraunhofer.pt (Professional)

Addresses

  • 2, Av. Prof. Gama Pinto 3, 1649-003, Lisboa, Lisboa, Portugal (Professional)

Websites

Knowledge fields

  • Exact Sciences - Computer and Information Sciences - Information Science
Education
Degree Classification
2011 - 2016
Concluded
 Engenharia Biomédica (Doutoramento)
Universidade de Lisboa Instituto Superior Técnico, Portugal
"An Integrative mining approach for prognostic prediction in neurodegenerative diseases" (THESIS/DISSERTATION)
 Aprovado com distinção (19 curricular)
2005 - 2010
Concluded
 Engenharia Biomédica (Mestrado integrado)
Universidade de Lisboa Instituto Superior Técnico, Portugal
"Classification of clinical expression time series: A case study in patients with Multiple Sclerosis" (THESIS/DISSERTATION)
 1º Ciclo - 15, 2º Ciclo - 18, Média Ponderada 16
Affiliation

Science

Category
Host institution 		Employer
2019/05 - Current Contracted Researcher (Research) Associação Fraunhofer Portugal Research, Portugal
Associação Fraunhofer Portugal Research, Portugal
2011/03/01 - 2015/12/31 Researcher (Research) Instituto de Engenharia de Sistemas e Computadores Investigação e Desenvolvimento em Lisboa, Portugal
Instituto de Engenharia de Sistemas e Computadores Investigação e Desenvolvimento em Lisboa, Portugal
2010/03/01 - 2011/02/28 Research Trainee (Research) Instituto de Engenharia de Sistemas e Computadores Investigação e Desenvolvimento em Lisboa, Portugal
Instituto de Engenharia de Sistemas e Computadores Investigação e Desenvolvimento em Lisboa, Portugal

Others

Category
Host institution 		Employer
2017/09 - 2019/05 Eng. Inteligência Artificial e Visão Computacional Heptasense, Portugal
Heptasense, Portugal
2016/02 - 2017/08 Cientista de Dados PKNOA S.A., Portugal
Projects

Contract

Designation Funders
2024/11/04 - Current ACHILLES - Human-Centred Machine Learning: Lighter, Clearer, Safer
101189689
Principal investigator
Associação Fraunhofer Portugal Research, Portugal
 European Commission
Ongoing
2022/10/01 - Current Center for Responsible AI
N/A
Research Fellow
Associação Fraunhofer Portugal Research, Portugal
 Agência para a Competitividade e Inovação IP
Ongoing
2022/02/01 - Current AICeBlock - Artificial Intelligence Certification through the Blockchain
N/A
Principal investigator
Associação Fraunhofer Portugal Research, Portugal
 Imprensa Nacional-Casa da Moeda SA
Ongoing
2021/03/01 - 2024/02/29 AIpALS - Advanced learnIng models using Patient profiles and disease progression patterns for prognostic prediction in ALS
PTDC/CCI-CIF/4613/2020
Researcher
Associação Fraunhofer Portugal Research, Portugal

FCiênciasID Associação para a Investigação e Desenvolvimento de Ciências, Portugal

Instituto de Medicina Molecular João Lobo Antunes, Portugal
Fundação para a Ciência e a Tecnologia
Ongoing
2021/01/01 - 2023/12/31 Home-based monitoring of functional disability in amyotrophic lateral sclerosis with mobile sensing
PTDC/MEC-NEU/6855/2020
Researcher
Associação Fraunhofer Portugal Research, Portugal

Instituto de Medicina Molecular João Lobo Antunes, Portugal
Fundação para a Ciência e a Tecnologia
Ongoing
2019/03/01 - 2021/12/31 Derm.AI - Usage of Artificial Intelligence to power Teledermatological Screening
DSAIPA/AI/0031/2018
Researcher
Associação Fraunhofer Portugal Research, Portugal
 Fundação para a Ciência e a Tecnologia
Ongoing
Outputs

Publications

Conference paper
  1. Carreiro, André V.; Pinto, Mariana; Pedro Madeira; Alberto Lopez Martin; Gamboa, Hugo. Corresponding author: Carreiro, André V.. "The Matrix Reloaded: A Counterfactual Perspective on Bias in Machine Learning". Paper presented in Data-centric Machine Learning Research (DMLR) Workshop at the 40 th International Conference on Machine Learning ICML, Honolulu, HA, 2023.
    Published
  2. Matias, P.; Folgado, D.; Gamboa, H.; Carreiro, A.V.; Matias, Pedro; Folgado, Duarte; Gamboa, Hugo; Carreiro, André. "Robust anomaly detection in time series through variational AutoEncoders and a local similarity score". Paper presented in International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC), 2021.
    Published • 10.5220/0010320500910102
  3. Nedelcu, Tudor; Vasconcelos, Maria; Carreiro, André. "Multi-Dataset Training for Skin Lesion Classification on Multimodal and Multitask Deep Learning". Paper presented in 7th International Conference on Biomedical Engineering and Systems (ICBES’20), Prague, 2020.
    Published • 10.11159/icbes20.120
  4. Carreiro, André V.. "Fraunhofer AICOS at CLEF eHealth 2020 Task 1: Clinical Code Extraction From Textual Data Using Fine-Tuned BERT Models". 2020.
    Published
  5. André V Carreiro; Susana Pinto; Alexandra M Carvalho; Mamede de Carvalho; Sara C. Madeira;. "Predicting Non-Invasive Ventilation in ALS Patients using Time Windows". 2014.
    10.13140/2.1.1385.5681
  6. Carreiro, André. "Unravelling communities of ALS patients using network mining". 2013.
  7. Carreiro, André. "Classification of Clinical Data using Sequential Patterns: A case study in Amyotrophic Lateral Sclerosis.". Paper presented in 2nd Workshop on Data Mining in Healthcare and Medicine, at SIAM International Conf on Data Mining (DMMH@SDM 2013), Austin-TX, 2013.
    Published
Journal article
  1. Hemaxi Narotamo; Mariana Dias; Ricardo Santos; André V. Carreiro; Hugo Gamboa; Margarida Silveira. "Deep learning for ECG classification: A comparative study of 1D and 2D representations and multimodal fusion approaches". Biomedical Signal Processing and Control (2024): https://doi.org/10.1016/j.bspc.2024.106141.
    10.1016/j.bspc.2024.106141
  2. Ricardo Santos; Bruno Ribeiro; Inês Sousa; Jorge Santos; Federico Guede-Fernández; Pedro Dias; André V. Carreiro; et al. "Predicting post-discharge complications in cardiothoracic surgery: A clinical decision support system to optimize remote patient monitoring resources". International Journal of Medical Informatics (2024): https://doi.org/10.1016/j.ijmedinf.2023.105307.
    10.1016/j.ijmedinf.2023.105307
  3. P. Carreiro-Martins; P. Paixão; I. Caires; A. Rodrigues; P. Matias; H. Gamboa; A. Carreiro; et al. "Diagnosis of COVID-19 by sound-based analysis of vocal recordings". Pulmonology (2023): https://doi.org/10.1016/j.pulmoe.2023.03.003.
    10.1016/j.pulmoe.2023.03.003
  4. Nuno Bento; Joana Rebelo; André V. Carreiro; François Ravache; Marília Barandas. "Exploring Regularization Methods for Domain Generalization in Accelerometer-Based Human Activity Recognition". Sensors (2023): https://doi.org/10.3390/s23146511.
    10.3390/s23146511
  5. Antunes, Margarida; Folgado, Duarte; Barandas, Marília; Carreiro, André; Quintão, Carla; de Carvalho, Mamede; Gamboa, Hugo. "A morphology-based feature set for automated Amyotrophic Lateral Sclerosis diagnosis on surface electromyography". (2023): http://hdl.handle.net/10362/146909.
    https://doi.org/10.1016/j.bspc.2022.104011
  6. Curioso, Isabel; Santos, Ricardo; Ribeiro, Bruno; Carreiro, André; Coelho, Pedro; Fragata, José; Gamboa, Hugo. "Addressing the Curse of Missing Data in Clinical Contexts". (2023): http://hdl.handle.net/10362/155244.
    https://doi.org/10.1016/j.jksuci.2023.101562
  7. Nuno Bento; Joana Rebelo; Marília Barandas; André V. Carreiro; Andrea Campagner; Federico Cabitza; Hugo Gamboa; et al. "Comparing Handcrafted Features and Deep Neural Representations for Domain Generalization in Human Activity Recognition". Sensors (2022): https://doi.org/10.3390/s22197324.
    10.3390/s22197324
  8. Pedro Matias; Joao Costa; Andre V. Carreiro; Hugo Gamboa; Ines Sousa; Pedro Gomez; Joana Sousa; et al. "Clinically Relevant Sound-Based Features in COVID-19 Identification: Robustness Assessment With a Data-Centric Machine Learning Pipeline". IEEE Access (2022): https://doi.org/10.1109/ACCESS.2022.3211295.
    10.1109/ACCESS.2022.3211295
  9. Ricardo Leonardo; Joao Goncalves; Andre Carreiro; Beatriz Simoes; Tiago Oliveira; Filipe Soares. "Impact of Generative Modeling for Fundus Image Augmentation With Improved and Degraded Quality in the Classification of Glaucoma". IEEE Access (2022): https://doi.org/10.1109/ACCESS.2022.3215126.
    10.1109/ACCESS.2022.3215126
  10. Nunes, Maria Lua; Folgado, Duarte; Fujâo, Carlos; Silva, Luís; Rodrigues, João; Matias, Pedro; Barandas, Marilia; et al. "Posture Risk Assessment in an Automotive Assembly Line using Inertial Sensors". IEEE Access 10 (2022): 83221-83235. http://hdl.handle.net/10362/145690.
    https://doi.org/10.1109/ACCESS.2022.3196473
  11. Matias, Pedro; Costa, Joao; Carreiro, Andre V.; Gamboa, Hugo; Sousa, Ines; Gomez, Pedro; Sousa, Joana; et al. "Clinically Relevant Sound-based Features in COVID-19 Identification". (2022): http://hdl.handle.net/10362/144963.
    https://doi.org/10.1109/ACCESS.2022.3211295
  12. Rafaela Carvalho; Ana C. Morgado; Catarina Andrade; Tudor Nedelcu; André Carreiro; Maria João M. Vasconcelos. "Integrating Domain Knowledge into Deep Learning for Skin Lesion Risk Prioritization to Assist Teledermatology Referral". Diagnostics (2021): https://doi.org/10.3390/diagnostics12010036.
    10.3390/diagnostics12010036
  13. Pedro Matias; Duarte Folgado; Hugo Gamboa; André Carreiro. "Time Series Segmentation Using Neural Networks with Cross-Domain Transfer Learning". Electronics 10 15 (2021): 1805-1805. https://doi.org/10.3390/electronics10151805.
    10.3390/electronics10151805
  14. Letícia Fernandes; Sara Santos; Marília Barandas; Duarte Folgado; Ricardo Leonardo; Ricardo Santos; André V. Carreiro; et al. "An Infrastructure-Free Magnetic-Based Indoor Positioning System with Deep Learning". Sensors (2020): https://www.mdpi.com/1424-8220/20/22/6664.
    10.3390/s20226664
  15. Pimentel, Angela; Carreiro, André V; Ribeiro, Rogério T; Gamboa, Hugo. "Screening diabetes mellitus 2 based on electronic health records using temporal features". Health Informatics Journal 24 2 (2016): 194-205. http://dx.doi.org/10.1177/1460458216663023.
    Published • 10.1177/1460458216663023
  16. Carreiro, André V.; Amaral, Pedro M.T.; Pinto, Susana; Tomás, Pedro; de Carvalho, Mamede; Madeira, Sara C.. "Prognostic models based on patient snapshots and time windows: Predicting disease progression to assisted ventilation in Amyotrophic Lateral Sclerosis". Journal of Biomedical Informatics 58 (2015): 133-144. http://dx.doi.org/10.1016/j.jbi.2015.09.021.
    Published • 10.1016/j.jbi.2015.09.021
  17. Carreiro, André V.; Mendonça, Alexandre; de Carvalho, Mamede; Madeira, Sara C.. "Integrative biomarker discovery in neurodegenerative diseases". Wiley Interdisciplinary Reviews: Systems Biology and Medicine 7 6 (2015): 357-379. http://dx.doi.org/10.1002/wsbm.1310.
    Published • 10.1002/wsbm.1310
  18. Carreiro AV; Ferreira AJ; Figueiredo MA; Madeira SC. "Towards a classification approach using meta-biclustering: impact of discretization in the analysis of expression time series.". (2012): http://europepmc.org/abstract/med/22829578.
    10.2390/biecoll-jib-2012-207
  19. Carreiro AV; Anunciação O; Carriço JA; Madeira SC. "Prognostic prediction through biclustering-based classification of clinical gene expression time series.". (2011): http://europepmc.org/abstract/med/21926438.
    10.2390/biecoll-jib-2011-175
Thesis / Dissertation
  1. Rebelo, Joana Sofia Gonçalves. "Domain Adaptation for Human Activity Recognition: A Case Study in ALS". Master, 2022. http://hdl.handle.net/10362/157143.
  2. Cotovio, Pedro Giesteira. "Towards reinforcement learning based N­Clustering". Master, 2022. http://hdl.handle.net/10451/53768.
  3. Cebola, Ricardo Alexandre Silvestre Matos. "Towards the Automatic Diagnosis of Amyotrophic Lateral Sclerosis from Speech". Master, 2022. http://hdl.handle.net/10362/159176.

Other

Other output
  1. Prognostic Prediction Using Clinical Expression Time Series: Towards a Supervised Learning Approach Based on Meta-biclusters. 2012. André V. Carreiro; Artur J. Ferreira; Mário A. T. Figueiredo; Sara C. Madeira. http://dx.doi.org/10.1007/978-3-642-28839-5_2.
    10.1007/978-3-642-28839-5_2
  2. Biclustering-Based Classification of Clinical Expression Time Series: A Case Study in Patients with Multiple Sclerosis. 2011. André V. Carreiro; Orlando Anunciação; João A. Carriço; Sara C. Madeira. http://dx.doi.org/10.1007/978-3-642-19914-1_31.
    10.1007/978-3-642-19914-1_31
Distinctions

Award

2021 2nd Prize at IN3+ Innovation Award
Imprensa Nacional-Casa da Moeda SA, Portugal