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TITLE: Triclustering-based classification of longitudinal data for prognostic prediction: targeting relevant clinical endpoints in amyotrophic lateral sclerosis
AUTHORS: Soares, Diogo F.; Henriques, Rui; Gromicho, Marta; de Carvalho, Mamede; Madeira, Sara C. ;
PUBLISHED: 2023, SOURCE: SCIENTIFIC REPORTS, VOLUME: 13, ISSUE: 1
INDEXED IN: Scopus WOS CrossRef: 6
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TITLE: Biclustering fMRI time series: a comparative study
AUTHORS: Castanho, Eduardo N.; Aidos, Helena ; Madeira, Sara C. ;
PUBLISHED: 2022, SOURCE: BMC BIOINFORMATICS, VOLUME: 23, ISSUE: 1
INDEXED IN: WOS CrossRef: 8
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TITLE: Dynamic Bayesian networks for stratification of disease progression in amyotrophic lateral sclerosis  Full Text
AUTHORS: Gromicho, Marta; Leao, Tiago; Santos, Miguel Oliveira; Pinto, Susana; Carvalho, Alexandra M. ; Madeira, Sara C. ; De Carvalho, Mamede;
PUBLISHED: 2022, SOURCE: EUROPEAN JOURNAL OF NEUROLOGY, VOLUME: 29, ISSUE: 8
INDEXED IN: Scopus WOS CrossRef: 6
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TITLE: Impact of metrics on biclustering solution and quality: A review
AUTHORS: Noronha, Marta D. M.; Henriques, Rui; Madeira, Sara C. ; Zarate, Luis E.;
PUBLISHED: 2022, SOURCE: PATTERN RECOGNITION, VOLUME: 127
INDEXED IN: WOS CrossRef: 8
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TITLE: Intelligent Disease Progression Prediction: Overview of iDPP@CLEF 2022
AUTHORS: Guazzo, Alessandro; Trescato, Isotta; Longato, Enrico; Hazizaj, Enidia; Dosso, Dennis; Fagoli, Guglielmo; Di Nunzio, Giorgio Maria; Silvello, Gianmaria; Vettoretti, Martina; Tavazzi, Erica; Roversi, Chiara; Fariselli, Piero; Madeira, Sara C. ; de Carvalho, Mamede; Gromicho, Marta; Chio, Adriano; Manera, Umberto; Dagliati, Arianna; Birolo, Giovanni; Aidos, Helena ; Di Camillo, Barbara; Ferro, Nicola; ...More
PUBLISHED: 2022, SOURCE: 13th International Conference of the CLEF-Association (CLEF) - Experimental IR meets Multilinguality, Multimodality, and Interaction in EXPERIMENTAL IR MEETS MULTILINGUALITY, MULTIMODALITY, AND INTERACTION (CLEF 2022), VOLUME: 13390
INDEXED IN: Scopus WOS CrossRef: 6
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TITLE: Learning prognostic models using a mixture of biclustering and triclustering: Predicting the need for non-invasive ventilation in Amyotrophic Lateral Sclerosis
AUTHORS: Soares, Diogo F.; Henriques, Rui; Gromicho, Marta; de Carvalho, Mamede; Madeira, Sara C. ;
PUBLISHED: 2022, SOURCE: JOURNAL OF BIOMEDICAL INFORMATICS, VOLUME: 134
INDEXED IN: Scopus WOS CrossRef: 7
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TITLE: Learning Prognostic Models Using Disease Progression Patterns: Predicting the Need for Non-Invasive Ventilation in Amyotrophic Lateral Sclerosis
AUTHORS: Martins, Andreia S.; Gromicho, Marta; Pinto, Susana; de Carvalho, Mamede; Madeira, Sara C. ;
PUBLISHED: 2022, SOURCE: IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS, VOLUME: 19, ISSUE: 5
INDEXED IN: WOS CrossRef: 7
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TITLE: Mining Actionable Patterns of Road Mobility From Heterogeneous Traffic Data Using Biclustering
AUTHORS: Neves, F; Finamore, AC; Madeira, SC ; Henriques, R;
PUBLISHED: 2022, SOURCE: IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, VOLUME: 23, ISSUE: 7
INDEXED IN: WOS CrossRef: 8
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TITLE: Posture Risk Assessment in an Automotive Assembly Line Using Inertial Sensors
AUTHORS: Nunes, Maria Lua; Folgado, Duarte; Fujao, Carlos; Silva, Luis; Rodrigues, Joao; Matias, Pedro; Barandas, Marilia; Carreiro, Andre, V; Madeira, Sara ; Gamboa, Hugo ;
PUBLISHED: 2022, SOURCE: IEEE ACCESS, VOLUME: 10
INDEXED IN: Scopus WOS DBLP CrossRef: 2
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TITLE: Shapelets to Classify Energy Demand Time Series
AUTHORS: Pinheiro, Marco G.; Madeira, Sara C. ; Francisco, Alexandre P. ;
PUBLISHED: 2022, SOURCE: ENERGIES, VOLUME: 15, ISSUE: 8
INDEXED IN: Scopus WOS CrossRef: 2
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