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Sara C. MadeiraProfessor Associado |
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- A Comprehensive Survey on Biclustering-based Collaborative Filtering
Rui Henriques, Miguel Silva, Sara C. Madeira
ACM Computing Surveys (ACM CSUR) vol. 56, n. 12, DOI https://dl.acm.org/doi/10.1145/3674723
2024 - Temporal stratification of amyotrophic lateral sclerosis patients using disease progression patterns
Daniela Amaral, Diogo F. Soares, Marta Gromicho, Mamede De Carvalho, Sara C. Madeira, Pedro Tomás, Helena Aidos
Nature Communications vol. 15, DOI 10.1038/s41467-024-49954-y
2024 - Comprehensive assessment of triclustering algorithms for three-way temporal data analysis
Diogo F. Soares, Rui Henriques, Sara C. Madeira
Pattern Recognition vol. 110303, DOI 10.1016/j.patcog.2024.110303
2024 - G-bic: generating synthetic benchmarks for biclustering
Eduardo Castanho, João Lobo, Rui Henriques, Sara C. Madeira
BMC Bioinformatics vol. 24,
2023 - Actionable Descriptors of Spatiotemporal Urban Dynamics from Large-scale Mobile Data: A Case Study in Lisbon City
Miguel Garção Silva, Rui Henriques, Sara C. Madeira
Environment and Planning B: Urban Analytics and City Science
2023 - Triclustering-based classification of longitudinal data for prognostic prediction: targeting relevant clinical endpoints in amyotrophic lateral sclerosis
Diogo F. Soares, Rui Henriques, Marta Gromicho, Mamede Carvalho, Sara C. Madeira
Scientific Reports vol. 13, DOI 10.1038/s41598-023-33223-x
2023 - Short-term electricity load forecasting—A systematic approach from system level to secondary substations
Marco André Gonçalves Pinheiro, Sara C. Madeira, A. P. Francisco
Applied Energy vol. 332, DOI https://doi.org/10.1016/j.apenergy.2022.120493
2023 - Water Consumption Pattern Analysis Using Biclustering: When, Why and How
Miguel Garção Silva, Sara C. Madeira, Rui Henriques
Water DOI https://doi.org/10.3390/w14121954
2022 - Learning Prognostic Models Using a Mixture of Biclustering and Triclustering: Predicting the Need for Non-Invasive Ventilation in Amyotrophic Lateral Sclerosis
Diogo F. Soares, Rui Henriques, Marta Gromicho, Mamede Carvalho, Sara C. Madeira
Journal of Biomedical Informatics
2022 - Shapelets to Classify Energy Demand Time Series
Marco André Gonçalves Pinheiro, Sara C. Madeira, A. P. Francisco
Energies vol. 15, n. 8, DOI https://doi.org/10.3390/en15082960
2022 - Impact of metrics on biclustering solution and quality: a review
Marta Noronha, Rui Henriques, Sara C. Madeira, Luis E. Zárate
Pattern Recognition
2022 - FleBiC: Learning classifiers from high-dimensional biomedical data using discriminative biclusters with non-constant patterns
Rui Henriques, Sara C. Madeira
Pattern Recognition
2021 - Mining actionable patterns of road mobility from heterogeneous traffic data using biclustering
Francisco Miguel Consciência Neves, Anna Carolina Nametala Finamore do Couto, Sara C. Madeira, Rui Henriques
IEEE Transactions on Intelligent Transportation Systems
2021 - G-Tric: generating three-way synthetic datasets with triclustering solutions
João Lobo, Rui Henriques, Sara C. Madeira
BMC Bioinformatics
2021 - Triclustering Algorithms for Three-Dimensional Data Analysis: A Comprehensive Survey
Rui Henriques, Sara C. Madeira
ACM Computing Surveys (CSUR) vol. 51, DOI 10.1145/3195833
2019
- Deep Temporal Consensus Clustering for Patient Stratification in Amyotrophic Lateral Sclerosis
Miguel Pego Roque, Andreia S. Martins, Marta Gromicho, Mamede De Carvalho, Sara C. Madeira, Pedro Tomás, Helena Aidos
European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN'2024), - Predicting blood donor return in Portugal: the role of demographics
João Castanheira, Andreia Sofia Teixeira, Sara C. Madeira, Pedro T. Monteiro
13th INForum - Simpósio de Informática (INForum'22), Guarda, PT
2022 - Towards Triclustering-Based Classification of Three-Way Clinical Data: A Case Study on Predicting Non-invasive Ventilation in ALS
Diogo Soares, Rui Henriques, Marta Gromicho, Susana Pinto, Mamede De Carvalho, Sara C. Madeira
PACBB, Practical Applications of Computational Biology Bioinformatics (PACBB), Practical Applications of Computational Biology Bioinformatics,
2020 - An Architecture Based on Fuzzy Systems for Personalized Medicine in ICUs
Joao M. C. Sousa, Susana Vieira, Joao P. Carvalho, Sara C. Madeira, Leo Celi, Stan N. Finkelstein
2019 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), IEEE, IEEE, New Orleans, LA, USA
- User-Specific Bicluster-based Collaborative Filtering: Handling Preference Locality, Sparsity and Subjectivity
Miguel Silva, Rui Henriques, Sara C. Madeira
2022