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Miriam Seoane Santos concluded an MSc in Biomedical Engineering in 2014 and a PhD in Informatics Engineering in 2022, receiving the Award for Best PhD Thesis in Artificial Intelligence 2022, promoted by the Portuguese Association in Artificial Intelligence (APPIA). She is currently an Assistant Professor at the Department of Computer Science of the University of Porto and a member of the Laboratory of Artificial Intelligence and Decision Support (LIAAD, INESC TEC). Her research spans several topics within Artificial Intelligence and Machine Learning, including data-centric AI, data complexity, imbalanced data, and missing data with particular applications to Trustworthy and Responsible AI. She has published more than 30 papers in peer-reviewed international journals and conference proceedings, 4 in top-tier journals (top 5% or top 1% in Artificial Intelligence), participated in 3 scientific projects, integrated the organization of 3 international conferences, and is currently an Editor at the International Journal of Data Science and Analytics. She has co-supervised 5 MSc thesis and 1 PhD thesis.
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Identification

Personal identification

Full name
Miriam Seoane Santos

Citation names

  • Seoane Santos, Miriam
  • Miriam Santos

Author identifiers

Ciência ID
2B19-6867-F815
ORCID iD
0000-0002-5912-963X
Google Scholar ID
https://scholar.google.pt/citations?user=isaI6u8AAAAJ
Scopus Author Id
56973109400

Email addresses

  • miriam.santos@fc.up.pt (Professional)

Websites

Knowledge fields

  • Exact Sciences - Computer and Information Sciences
  • Exact Sciences - Computer and Information Sciences - Bioinformatics

Languages

Language Speaking Reading Writing Listening Peer-review
Portuguese (Mother tongue)
English Proficiency (C2) Proficiency (C2) Proficiency (C2) Proficiency (C2) Proficiency (C2)
Education
Degree Classification
2022
Concluded
 Doutoramento em Engenharia Informática (Doutoramento)
Major in Sistemas Inteligentes
Universidade de Coimbra, Portugal
"Research Problems in Data Quality: Addressing Imbalanced and Missing Data" (THESIS/DISSERTATION)
2014
Concluded
 Engenharia Biomédica (Mestrado integrado)
Major in Informática Clínica e Bioinformática
Universidade de Coimbra, Portugal
"Sistema de Apoio à Análise e ao Tratamento de Doentes com Carcinoma Hepatocelular" (THESIS/DISSERTATION)
Affiliation

Teaching in Higher Education

Category
Host institution 		Employer
2024/03/11 - Current Assistant Professor (University Teacher) Universidade do Porto Faculdade de Ciências, Portugal
Universidade do Porto Faculdade de Ciências, Portugal
2019 - 2020 Invited Assistant (University Teacher) Universidade de Coimbra, Portugal
2015 - 2017 Invited Assistant (Polytechnic Teacher) Instituto Superior Miguel Torga, Portugal
Projects

Grant

Designation Funders
2018 - 2020 Research Grant SFRH/BD/138749/2018
SFRH/BD/138749/2018
PhD Student Fellow
Fundação para a Ciência e a Tecnologia, Portugal
 Fundação para a Ciência e a Tecnologia
Concluded
2017 - 2018 Project NORTE-01-0145-FEDER-000027: Early-stage cancer treatment, driven by context of molecular imaging (ESTIMA)
NORTE-01-0145-FEDER-000027
Research Fellow
Instituto Português de Oncologia do Porto Francisco Gentil Centro de Investigação, Portugal
Concluded
2016 - 2016 Project COMPETE: POCI-01-0145-FEDER-006715: Preprocessing Clinical Data with Missing Values
COMPETE: POCI-01-0145-FEDER-006715
Research Fellow
Concluded
2014 - 2015 Project FCT PTDC/SAUENB/119132/2010, Optical modeling of the human retina in health and disease: from structure to function
PTDC/SAUENB/119132/2010
Research Fellow
Fundação para a Ciência e a Tecnologia
Concluded
Outputs

Publications

Conference paper
  1. Joana Cristo Santos; Seoane Santos, Miriam; Henriques Abreu, Pedro. "Reconstruction of Mammography Projections using Image-to-Image Translation Techniques". Paper presented in European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2024), 2024.
  2. Joana Cristo Santos; Seoane Santos, Miriam; Henriques Abreu, Pedro. "An Interpretable Human-in-the-Loop Process to Improve Medical Image Classification". Paper presented in International Symposium on Intelligent Data Analysis (IDA 2024), 2024.
  3. Santos, Joana Cristo; Henriques Abreu, Pedro; Santos, Miriam Seoane. "The identification of cancer lesions in mammography images with missing pixels: analysis of morphology". 2022.
    10.1109/dsaa54385.2022.10032420
  4. "Assessing the Impact of Distance Functions on K-Nearest Neighbours Imputation of Biomedical Datasets". Paper presented in International Conference on Artificial Intelligence in Medicine, 2020.
    https://doi.org/10.1007/978-3-030-59137-3_43
  5. "Analysis of Imbalance Strategies Recommendation using a Meta-Learning Approach". Paper presented in 7th ICML Workshop on Automated Machine Learning (2020), 2020.
  6. "MNAR Imputation with Distributed Healthcare Data". Paper presented in EPIA Conference on Artificial Intelligence, 2019.
    https://doi.org/10.1007/978-3-030-30244-3_16
  7. "Analysing the Footprint of Classifiers in Overlapped and Imbalanced Contexts". Paper presented in International Symposium on Intelligent Data Analysis, 2018.
    https://doi.org/10.1007/978-3-030-01768-2_17
  8. "Missing Data Imputation via Denoising Autoencoders: The Untold Story". Paper presented in International Symposium on Intelligent Data Analysis, 2018.
    https://doi.org/10.1007/978-3-030-01768-2_8
  9. "Exploring the Effects of Data Distribution in Missing Data Imputation". Paper presented in International Symposium on Intelligent Data Analysis, 2018.
    https://doi.org/10.1007/978-3-030-01768-2_21
  10. "The role of computer programming as a partner in the English classroom". Paper presented in EdMedia + Innovate Learning, 2018.
  11. "Influence of Data Distribution in Missing Data Imputation". Paper presented in Conference on Artificial Intelligence in Medicine in Europe, 2017.
    https://doi.org/10.1007/978-3-319-59758-4_33
  12. Santos, Miriam; Araujo, Aderito; Barbeiro, Silvia; Caramelo, Francisco; Correia, Antonio; Marques, Maria Isabel; Morgado, Miguel; et al. "Maxwell's equations based 3D model of light scattering in the retina". 2015.
    10.1109/enbeng.2015.7088869
  13. Santos, Miriam; Araujo, Aderito; Barbeiro, Silvia; Caramelo, Francisco; Correia, Antonio; Marques, Maria Isabel; Pinto, Luis; et al. "Simulation of cellular changes on Optical Coherence Tomography of human retina". 2015.
    10.1109/embc.2015.7320285
Journal article
  1. Mangussi, Arthur Dantas; Santos, Miriam Seoane; Lopes, Filipe Loyola; Pereira, Ricardo Cardoso; Lorena, Ana Carolina; Abreu, Pedro Henriques. "mdatagen: A python library for the artificial generation of missing data". Neurocomputing 625 (2025): 129478. https://doi.org/10.1016/j.neucom.2025.129478.
    10.1016/j.neucom.2025.129478
  2. Santos, Joana Cristo; Santos, Miriam Seoane; Abreu, Pedro Henriques. "Enhancing mammography: a comprehensive review of computer methods for improving image quality". Progress in Biomedical Engineering 6 4 (2024): 042002. https://doi.org/10.1088/2516-1091/ad776b.
    10.1088/2516-1091/ad776b
  3. Clemente, Fabiana; Ribeiro, Gonçalo Martins; Quemy, Alexandre; Santos, Miriam Seoane; Pereira, Ricardo Cardoso; Barros, Alex. "ydata-profiling: Accelerating data-centric AI with high-quality data". Neurocomputing 554 (2023): 126585. https://doi.org/10.1016/j.neucom.2023.126585.
    10.1016/j.neucom.2023.126585
  4. Cristo Santos, Joana; Henriques Abreu, Miguel; Seoane Santos, Miriam; Duarte, Hugo; Alpoim, Tiago; Próspero, Inês; Sousa, Susana; Henriques Abreu, Pedro. "Bone Metastases Detection in Patients with Breast Cancer: Does Bone Scintigraphy Add Information to PET/CT?". The Oncologist 28 8 (2023): e600-e605. https://doi.org/10.1093/oncolo/oyad087.
    10.1093/oncolo/oyad087
  5. Santos, Miriam Seoane; Abreu, Pedro Henriques; Fernández, Alberto; Luengo, Julián; Santos, João. "The impact of heterogeneous distance functions on missing data imputation and classification performance". Engineering Applications of Artificial Intelligence 111 (2022): 104791. http://dx.doi.org/10.1016/j.engappai.2022.104791.
    10.1016/j.engappai.2022.104791
  6. Santos, Miriam Seoane; Abreu, Pedro Henriques; Japkowicz, Nathalie; Fernández, Alberto; Soares, Carlos; Wilk, Szymon; Santos, João. "On the joint-effect of class imbalance and overlap: a critical review". Artificial Intelligence Review (2022): http://dx.doi.org/10.1007/s10462-022-10150-3.
    10.1007/s10462-022-10150-3
  7. "A Unifying View of Class Overlap and Imbalance: Key Concepts, Multi-View Panorama, and Open Avenues for Research". Information Fusion (2022):
    Under revision
  8. Salazar, Teresa; Santos, Miriam Seoane; Araujo, Helder; Abreu, Pedro Henriques. "FAWOS: Fairness-Aware Oversampling Algorithm Based on Distributions of Sensitive Attributes". IEEE Access 9 (2021): 81370-81379. http://dx.doi.org/10.1109/access.2021.3084121.
    10.1109/access.2021.3084121
  9. Cardoso Pereira, Ricardo; Seoane Santos, Miriam; Pereira Rodrigues, Pedro; Henriques Abreu, Pedro. "Reviewing Autoencoders for Missing Data Imputation: Technical Trends, Applications and Outcomes". Journal of Artificial Intelligence Research 69 (2020): 1255-1285. http://dx.doi.org/10.1613/jair.1.12312.
    10.1613/jair.1.12312
  10. Santos, Miriam Seoane; Abreu, Pedro Henriques; Wilk, Szymon; Santos, João. "How distance metrics influence missing data imputation with k-nearest neighbours". Pattern Recognition Letters 136 (2020): 111-119. http://dx.doi.org/10.1016/j.patrec.2020.05.032.
    10.1016/j.patrec.2020.05.032
  11. Santos, Joana Cristo; Abreu, Miguel Henriques; Santos, Miriam Seoane; Duarte, Hugo; Alpoim, Tiago; Sousa, Susana; Abreu, Pedro Henriques. "Bone scintigraphy and PET-CT: A necessary alliance for bone metastasis detection in breast cancer?". Journal of Clinical Oncology 38 15_suppl (2020): e13070-e13070. http://dx.doi.org/10.1200/jco.2020.38.15_suppl.e13070.
    10.1200/jco.2020.38.15_suppl.e13070
  12. Santos, Miriam. "Generating Synthetic Missing Data: A Review by Missing Mechanism". IEEE Access (2019): http://dx.doi.org/10.1109/access.2019.2891360.
    10.1109/access.2019.2891360
  13. Santos, Miriam Seoane; Soares, Jastin Pompeu; Abreu, Pedro Henrigues; Araujo, Helder; Santos, Joao. "Cross-Validation for Imbalanced Datasets: Avoiding Overoptimistic and Overfitting Approaches [Research Frontier]". IEEE Computational Intelligence Magazine 13 4 (2018): 59-76. http://dx.doi.org/10.1109/mci.2018.2866730.
    10.1109/mci.2018.2866730
  14. Santos, Miriam Seoane; Abreu, Pedro Henriques; Germán, Rodríguez-Bermúdez; García-Laencina, Pedro J.. "Improving the Classifier Performance in Motor Imagery Task Classification: What are the steps in the classification process that we should worry about?". International Journal of Computational Intelligence Systems 11 1 (2018): 1278. http://dx.doi.org/10.2991/ijcis.11.1.95.
    10.2991/ijcis.11.1.95
  15. Abreu, Pedro Henriques; Santos, Miriam Seoane; Abreu, Miguel Henriques; Andrade, Bruno; Silva, Daniel Castro. "Predicting Breast Cancer Recurrence Using Machine Learning Techniques". ACM Computing Surveys 49 3 (2016): 1-40. http://dx.doi.org/10.1145/2988544.
    10.1145/2988544
  16. Santos, Miriam Seoane; Abreu, Pedro Henriques; García-Laencina, Pedro J.; Simão, Adélia; Carvalho, Armando. "A new cluster-based oversampling method for improving survival prediction of hepatocellular carcinoma patients". Journal of Biomedical Informatics 58 (2015): 49-59. http://dx.doi.org/10.1016/j.jbi.2015.09.012.
    10.1016/j.jbi.2015.09.012
Activities

Oral presentation

Presentation title Event name
Host (Event location)
2024/10/24 ECAI 2024 Tutorial - A Multi-View Panorama of Data-Centric AI: Techniques, Tools, and Applications European Conference on Artificial Intelligence (ECAI 2024)
(Santiago de Compostela, Spain)
2019 Dealing with Imbalanced Data: The Nuts and Bolts. Data Science Portugal Meetup
Data Science Portugal (Coimbra, Portugal)
2018 Missing Data in Healthcare AI4Health @ CINTESIS Meeting
CINTESIS (Porto, Portugal)
2016 A new cluster-based oversampling method for improving survival prediction of hepatocellular carcinoma patients BioData @ CINTESIS Meeting,
CINTESIS (Porto, Portugal)

Supervision

Thesis Title
Role 		Degree Subject (Type)
Institution / Organization
2024 - Current Exploring machine learning strategies for the identification, quantification, and mitigation of Small Disjuncts in Imbalanced Data
Supervisor
 Mestrado em Ciências da Computação (Master)
Universidade do Porto Faculdade de Ciências, Portugal
2021 - Current The joint-effect of class imbalance and overlap
Co-supervisor
 Engenharia Informática (Master)
Universidade de Coimbra, Portugal
2020 - Current Missing Image Data Methodologies applied to Breast Cancer Mammography
Co-supervisor
 Doutoramento em Engenharia Informática (PhD)
Universidade de Coimbra, Portugal
2021 - 2022 The joint-effect of imbalanced and missing data: a challenging task in data analysis
Co-supervisor
 Engenharia Informática (Master)
Universidade de Coimbra, Portugal
2019 - 2020 Handling Data Difficulty Factors via a Meta-Learning Approach
Co-supervisor
 Engenharia Biomédica (Master)
Universidade de Coimbra, Portugal
2017 - 2018 A study on Missing Data: Handling missingness using Denoising Autoencoders
Co-supervisor
 Engenharia Biomédica (Master)
Universidade de Coimbra, Portugal
2017 - 2018 Exploring Missing Data: A Visualization Approach
Co-supervisor
 Engenharia Biomédica (Master)
Universidade de Coimbra, Portugal

Committee member

Activity description
Role 		Institution / Organization
2025 - Current Comissão Executiva do Departamento de Ciências da Computação, Faculdade de Ciências, Universidade do Porto
2025 - Current Comissão Cientifica do Mestrado em Informática Médica, Universidade do Porto
2024 - Current Editor at the International Journal of Data Science and Analytics

Conference scientific committee

Conference name Conference host
2022 - 2022 International Symposium on Intelligent Data Analysis (IDA 2022) Rennes, France
2022 - 2022 20th International Conference on Artificial Intelligence in Medicine (AIME 2022) Halifax, Canada
2021 - 2021 19th International Conference on Artificial Intelligence in Medicine (AIME 2021) Online
2021 - 2021 International Symposium on Intelligent Data Analysis (IDA 2021) Online
2021 - 2021 20th EPIA Conference on Artificial Intelligence (EPIA 2021) Online
2020 - 2020 2020 IEEE 33rd International Symposium on Computer-Based Medical Systems (CBMS 2020) Online
2019 - 2019 32nd IEEE CBMS International Symposium on Computer-Based Medical Systems (IEEE CBMS 2019) Córdoba, Spain
2019 - 2019 19th EPIA Conference on Artificial Intelligence (EPIA 2019) Vila Real, Portugal
2019 - 2019 17th Conference on Artificial Intelligence in Medicine 2019 (AIME 2019) Poznan, Poland
2019 - 2019 28th International Joint Conference on Artificial Intelligence 2019 (IJCAI 2019) Macao, China
2019 - 2019 Second International Conference on Mechanical, Electric and Industrial Engineering (MEIE2019) Hangzhou, China
2018 - 2018 2018 Symposium on Artificial Intelligence in Technologies for Health (AITH 2018) Liverpool, UK
2017 - 2017 6th Conference on Artificial Intelligence in Medicine 2017 (AIME 2017) Vienna, Austria

Journal scientific committee

Journal title (ISSN) Publisher
2019 - Current International Journal of Medical Informatics Elsevier
2019 - Current Expert Systems with Applications Elsevier
2018 - Current Journal of Biomedical Informatics Elsevier
2018 - Current Artificial Intelligence in Medicine Elsevier
2016 - Current IET Software Institution of Engineering and Technology
Distinctions

Award

2023 Best PhD Thesis Award in Artificial Intelligence 2022