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Miriam Seoane Santos concluiu o Mestrado em Engenharia Biomédica (2014) e o Doutoramento em Engenharia Informática na Universidade de Coimbra (2022). Trabalhou como investigadora no Centro de Novas Tecnologias em Medicina em Coimbra, no Centro de Investigação do Instituto Português de Oncologia do Porto e também enquanto Assistente Convidado no Instituto Superior Miguel Torga e na Universidade de Coimbra, leccionando cadeiras como Programação Web, Design de interfaces, Sistemas de Suporte à Decisão, Programação em Java e Simulação e Computação Científica. É membro do Centro de Informática e Sistemas da Universidade de Coimbra, e desenvolve a sua investigação em Ciência dos Dados.
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Identification

Personal identification

Full name
Miriam Seoane Santos

Citation names

  • Seoane Santos, Miriam

Author identifiers

Ciência ID
2B19-6867-F815
ORCID iD
0000-0002-5912-963X

Email addresses

  • miriams@dei.uc.pt (Professional)

Websites

Knowledge fields

  • Exact Sciences - Computer and Information Sciences - Bioinformatics
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
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. "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
  2. "Analysis of Imbalance Strategies Recommendation using a Meta-Learning Approach". Paper presented in 7th ICML Workshop on Automated Machine Learning (2020), 2020.
  3. "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
  4. "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
  5. "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
  6. "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
  7. "The role of computer programming as a partner in the English classroom". Paper presented in EdMedia + Innovate Learning, 2018.
  8. "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
  9. 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
  10. 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. 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
  2. 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
  3. "A Unifying View of Class Overlap and Imbalance: Key Concepts, Multi-View Panorama, and Open Avenues for Research". Information Fusion (2022):
    Under revision
  4. 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
  5. 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
  6. 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
  7. 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
  8. 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
  9. 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
  10. 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
  11. 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
  12. 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)
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
2021 - Current The joint-effect of imbalanced and missing data: a challenging task in data analysis
Co-supervisor
 Engenharia Informática (Master)
Universidade de Coimbra, 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
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

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