21
TITLE: Water Consumption Pattern Analysis Using Biclustering: When, Why and How
AUTHORS: Silva, Miguel G.; Madeira, Sara C. ; Henriques, Rui;
PUBLISHED: 2022, SOURCE: WATER, VOLUME: 14, ISSUE: 12
INDEXED IN: Scopus WOS CrossRef: 4
22
TITLE: FleBiC: Learning classifiers from high-dimensional biomedical data using discriminative biclusters with non-constant patterns
AUTHORS: Henriques, R; Madeira, SC ;
PUBLISHED: 2021, SOURCE: PATTERN RECOGNITION, VOLUME: 115
INDEXED IN: Scopus WOS CrossRef: 22
23
TITLE: G-Tric: generating three-way synthetic datasets with triclustering solutions
AUTHORS: Lobo, J; Henriques, R; Madeira, SC ;
PUBLISHED: 2021, SOURCE: BMC BIOINFORMATICS, VOLUME: 22, ISSUE: 1
INDEXED IN: Scopus WOS CrossRef: 6
24
TITLE: Learning dynamic Bayesian networks from time-dependent and time-independent data: Unraveling disease progression in Amyotrophic Lateral Sclerosis
AUTHORS: Leão, T; Madeira, SC ; Gromicho, M; de Carvalho, M; Carvalho, AM;
PUBLISHED: 2021, SOURCE: Journal of Biomedical Informatics, VOLUME: 117
INDEXED IN: Scopus CrossRef: 11
25
TITLE: Predictive Medicine Using Interpretable Recurrent Neural Networks
AUTHORS: Ferreira, A; Madeira, SC ; Gromicho, M; de Carvalho, M; Vinga, S ; Carvalho, AM ;
PUBLISHED: 2021, SOURCE: 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
INDEXED IN: Scopus CrossRef: 1
26
TITLE: Towards Triclustering-Based Classification of Three-Way Clinical Data: A Case Study on Predicting Non-invasive Ventilation in ALS
AUTHORS: Soares, D; Henriques, R; Gromicho, M; Pinto, S; de Carvalho, M; Madeira, SC ;
PUBLISHED: 2021, SOURCE: 14th International Conference on Practical Applications of Computational Biology and Bioinformatics, PACBB 2020 in Advances in Intelligent Systems and Computing, VOLUME: 1240 AISC
INDEXED IN: Scopus CrossRef: 5
27
TITLE: Patient Stratification Using Clinical and Patient Profiles: Targeting Personalized Prognostic Prediction in ALS
AUTHORS: Pires, S; Gromicho, M; Pinto, S; de Carvalho, M; Madeira, SC ;
PUBLISHED: 2020, SOURCE: 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
INDEXED IN: Scopus CrossRef: 3
28
TITLE: Spreading in ALS: The relative impact of upper and lower motor neuron involvement
AUTHORS: Gromicho, M; Figueiral, M; Uysal, H; Grosskreutz, J; Kuzma Kozakiewicz, M; Pinto, S; Petri, S; Madeira, S ; Swash, M; de Carvalho, M;
PUBLISHED: 2020, SOURCE: ANNALS OF CLINICAL AND TRANSLATIONAL NEUROLOGY, VOLUME: 7, ISSUE: 7
INDEXED IN: Scopus WOS CrossRef: 40
29
TITLE: 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
AUTHORS: Pereira, T; Cardoso, S; Guerreiro, M; Mendonça, A; Madeira, SC ;
PUBLISHED: 2020, SOURCE: Journal of Biomedical Informatics, VOLUME: 101
INDEXED IN: Scopus CrossRef: 11
30
TITLE: Unravelling Disease Presentation Patterns in ALS Using Biclustering for Discriminative Meta-Features Discovery
AUTHORS: Matos, J; Pires, S; Aidos, H ; Gromicho, M; Pinto, S; de Carvalho, M; Madeira, SC ;
PUBLISHED: 2020, SOURCE: 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
INDEXED IN: Scopus CrossRef: 7
Page 3 of 10. Total results: 93.