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TÍTULO: Water Consumption Pattern Analysis Using Biclustering: When, Why and How
AUTORES: Silva, Miguel G.; Madeira, Sara C. ; Henriques, Rui;
PUBLICAÇÃO: 2022, FONTE: WATER, VOLUME: 14, NÚMERO: 12
INDEXADO EM: Scopus WOS CrossRef: 4
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TÍTULO: FleBiC: Learning classifiers from high-dimensional biomedical data using discriminative biclusters with non-constant patterns
AUTORES: Henriques, R; Madeira, SC ;
PUBLICAÇÃO: 2021, FONTE: PATTERN RECOGNITION, VOLUME: 115
INDEXADO EM: Scopus WOS CrossRef: 22
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TÍTULO: G-Tric: generating three-way synthetic datasets with triclustering solutions
AUTORES: Lobo, J; Henriques, R; Madeira, SC ;
PUBLICAÇÃO: 2021, FONTE: BMC BIOINFORMATICS, VOLUME: 22, NÚMERO: 1
INDEXADO EM: Scopus WOS CrossRef: 6
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TÍTULO: Learning dynamic Bayesian networks from time-dependent and time-independent data: Unraveling disease progression in Amyotrophic Lateral Sclerosis
AUTORES: Leão, T; Madeira, SC ; Gromicho, M; de Carvalho, M; Carvalho, AM;
PUBLICAÇÃO: 2021, FONTE: Journal of Biomedical Informatics, VOLUME: 117
INDEXADO EM: Scopus CrossRef: 11
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TÍTULO: Predictive Medicine Using Interpretable Recurrent Neural Networks
AUTORES: Ferreira, A; Madeira, SC ; Gromicho, M; de Carvalho, M; Vinga, S ; Carvalho, AM ;
PUBLICAÇÃO: 2021, FONTE: 25th International Conference on Pattern Recognition Workshops, ICPR 2020 in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), VOLUME: 12661 LNCS
INDEXADO EM: Scopus CrossRef: 1
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TÍTULO: Towards Triclustering-Based Classification of Three-Way Clinical Data: A Case Study on Predicting Non-invasive Ventilation in ALS
AUTORES: Soares, D; Henriques, R; Gromicho, M; Pinto, S; de Carvalho, M; Madeira, SC ;
PUBLICAÇÃO: 2021, FONTE: 14th International Conference on Practical Applications of Computational Biology and Bioinformatics, PACBB 2020 in Advances in Intelligent Systems and Computing, VOLUME: 1240 AISC
INDEXADO EM: Scopus CrossRef: 5
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TÍTULO: Patient Stratification Using Clinical and Patient Profiles: Targeting Personalized Prognostic Prediction in ALS
AUTORES: Pires, S; Gromicho, M; Pinto, S; de Carvalho, M; Madeira, SC ;
PUBLICAÇÃO: 2020, FONTE: 8th International Work-Conference on Bioinformatics and Biomedical Engineering, IWBBIO 2020 in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), VOLUME: 12108 LNBI
INDEXADO EM: Scopus CrossRef: 3
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TÍTULO: Spreading in ALS: The relative impact of upper and lower motor neuron involvement
AUTORES: Gromicho, M; Figueiral, M; Uysal, H; Grosskreutz, J; Kuzma Kozakiewicz, M; Pinto, S; Petri, S; Madeira, S ; Swash, M; de Carvalho, M;
PUBLICAÇÃO: 2020, FONTE: ANNALS OF CLINICAL AND TRANSLATIONAL NEUROLOGY, VOLUME: 7, NÚMERO: 7
INDEXADO EM: Scopus WOS CrossRef: 40
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TÍTULO: Targeting the uncertainty of predictions at patient-level using an ensemble of classifiers coupled with calibration methods, Venn-ABERS, and Conformal Predictors: A case study in AD
AUTORES: Pereira, T; Cardoso, S; Guerreiro, M; Mendonça, A; Madeira, SC ;
PUBLICAÇÃO: 2020, FONTE: Journal of Biomedical Informatics, VOLUME: 101
INDEXADO EM: Scopus CrossRef: 11
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TÍTULO: Unravelling Disease Presentation Patterns in ALS Using Biclustering for Discriminative Meta-Features Discovery
AUTORES: Matos, J; Pires, S; Aidos, H ; Gromicho, M; Pinto, S; de Carvalho, M; Madeira, SC ;
PUBLICAÇÃO: 2020, FONTE: 8th International Work-Conference on Bioinformatics and Biomedical Engineering, IWBBIO 2020 in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), VOLUME: 12108 LNBI
INDEXADO EM: Scopus CrossRef: 7
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