MEMBER

Sara C. Madeira

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ONGOING

Acronym Title Funding Entity Start Date End Date
AIpALS Advanced learnIng models using Patient profiles and disease progression patterns for prognostic prediction in ALS FCT 01/03/2021 29/02/2024
BRAINTEASER BRAINTEASER - BRinging Artificial INTelligencE home for a better cAre of amyotrophic lateral sclerosis and multiple SclERosis EU H2020 01/01/2021 01/01/2024
CIRCLES Controlling mIcRobiomes CircuLations for bEtter food Systems EU H2020 01/11/2018 01/11/2023
LAIfeBlood Artificial Intelligence for Blood Management FCT 01/01/2020 31/12/2022
PREDICT Personalized therapy for RhEumatic DIseases via machine learning FCT 01/01/2019 31/12/2021
iCare4U Decision support system for personalized medicine in ICUs FCT 01/06/2018 31/05/2021

PAST

Acronym Title Funding Entity Start Date End Date
NEUROCLINOMICS2 Unravelling Prognostic Markers in NEUROdegenerative diseases through CLINical and OMICS data integration FCT 01/07/2016 31/03/2020
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João Lobo, Rui Henriques, Sara C. Madeira. G-Tric: generating three-way synthetic datasets with triclustering solutions. BMC Bioinformatics, 22(1), Springer Science and Business Media LLC, 2021 [Biblios]
André Ferreira, Sara C. Madeira, Marta Gromicho, Mamede de Carvalho, Susana Vinga, Alexandra M. Carvalho. Predictive Medicine Using Interpretable Recurrent Neural Networks. In Pattern Recognition. ICPR International Workshops and Challenges,Lecture Notes in Computer Science, pages 187-202. Springer International Publishing, 2021 [Biblios]
Francisco Neves, Anna C. Finamore, Sara C. Madeira, Rui Henriques. Mining Actionable Patterns of Road Mobility From Heterogeneous Traffic Data Using Biclustering. IEEE Transactions on Intelligent Transportation Systems, 1-16, Institute of Electrical and Electronics Engineers (IEEE), 2021 [Biblios]
Diogo Soares, Rui Henriques, Marta Gromicho, Susana Pinto, Mamede de Carvalho, Sara C. Madeira. Towards Triclustering-Based Classification of Three-Way Clinical Data: A Case Study on Predicting Non-invasive Ventilation in ALS. In Advances in Intelligent Systems and Computing,Practical Applications of Computational Biology & Bioinformatics, 14th International Conference (PACBB 2020), pages 112-122. Springer International Publishing, 2020 [Biblios]
Joana Matos, Sofia Pires, Helena Aidos, Marta Gromicho, Susana Pinto, Mamede de Carvalho, Sara C. Madeira. Unravelling Disease Presentation Patterns in ALS Using Biclustering for Discriminative Meta-Features Discovery. In Bioinformatics and Biomedical Engineering,Lecture Notes in Computer Science, pages 517-528. Springer International Publishing, 2020 [Biblios]
Sofia Pires, Marta Gromicho, Susana Pinto, Mamede de Carvalho, Sara C. Madeira. Patient Stratification Using Clinical and Patient Profiles: Targeting Personalized Prognostic Prediction in ALS. In Bioinformatics and Biomedical Engineering,Lecture Notes in Computer Science, pages 529-541. Springer International Publishing, 2020 [Biblios]
Rui Henriques, Sara C. Madeira. Triclustering Algorithms for Three-Dimensional Data Analysis: A Comprehensive Survey. ACM Computing Surveys, 51(5):1-43, Association for Computing Machinery (ACM), 2018 [Biblios]
T Pereira, F Ferreira, M Guerreiro, A Mendonca, Sara C. Madeira. Towards a reliable prediction of conversion from Mild Cognitive Impairment to Alzheimer’s Disease: stepwise learning using time windows. In Proceedings of The First Workshop Medical Informatics and Healthcare held with the 23rd SIGKDD Conference on Knowledge Discovery and Data Mining, pages 19-26(69). Proceedings of Machine Learning Research (PMLR), 2017 [Biblios]
Rui Henriques, Sara C. Madeira. BSig: evaluating the statistical significance of biclustering solutions. Data Mining and Knowledge Discovery, 32(1):124-161, Springer Nature, 2017 [Biblios]
Francisco L. Ferreira, Sandra Cardoso, Dina Silva, Manuela Guerreiro, Alexandre de Mendonça, Sara C. Madeira. Improving Prognostic Prediction from Mild Cognitive Impairment to Alzheimer’s Disease Using Genetic Algorithms, In Advances in Intelligent Systems and Computing,11th International Conference on Practical Applications of Computational Biology & Bioinformatics, pages 180-188. Springer International Publishing, 2017 [Biblios]
Telma Pereira, Sandra Cardoso, Dina Silva, Alexandre de Mendonça, Manuela Guerreiro, Sara C. Madeira. Towards Trustworthy Predictions of Conversion from Mild Cognitive Impairment to Dementia: A Conformal Prediction Approach, In Advances in Intelligent Systems and Computing,11th International Conference on Practical Applications of Computational Biology & Bioinformatics, pages 155-163. Springer International Publishing, 2017 [Biblios]