Electromyographic Signal Dynamic Behavior in Neuropathies - Spectral Parameters Evaluation and Classification. - Maria Marta Santos; Ana Luísa Gomes; Hugo Gamboa; Mamede de Carvalho; Susana Pinto; Carla Quintão (BIOSIGNALS, 2015)

Prognostic models based on patient snapshots and time windows: Predicting disease progression to assisted ventilation in Amyotrophic Lateral Sclerosis. - André Valério Carreiro; Pedro M. T. Amaral; Susana Pinto; Pedro Tomás; Mamede de Carvalho; Sara C. Madeira (J. Biomed. Informatics, 2015)

Predicting Non-invasive Ventilation in ALS Patients Using Stratified Disease Progression Groups. - Sofia Pires; Marta Gromicho; Susana Pinto; Mamede de Carvalho; Sara C. Madeira (ICDM Workshops, 2018)

Predicting assisted ventilation in Amyotrophic Lateral Sclerosis using a mixture of experts and conformal predictors. - Telma Pereira; Sofia Pires; Marta Gromicho; Susana Pinto; Mamede de Carvalho; Sara C. Madeira (CoRR, 2019)

Unravelling Disease Presentation Patterns in ALS Using Biclustering for Discriminative Meta-Features Discovery. - Joana Matos; Sofia Pires; Helena Aidos; Marta Gromicho; Susana Pinto; Mamede de Carvalho; Sara C. Madeira (IWBBIO, 2020)

Patient Stratification Using Clinical and Patient Profiles: Targeting Personalized Prognostic Prediction in ALS. - Sofia Pires; Marta Gromicho; Susana Pinto; Mamede de Carvalho; Sara C. Madeira (IWBBIO, 2020)

Towards Triclustering-Based Classification of Three-Way Clinical Data: A Case Study on Predicting Non-invasive Ventilation in ALS. - Diogo F. Soares; Rui Henriques; Marta Gromicho; Susana Pinto; Mamede de Carvalho; Sara C. Madeira (PACBB, 2020)

Learning Prognostic Models Using Disease Progression Patterns: Predicting the Need for Non-Invasive Ventilation in Amyotrophic Lateral Sclerosis. - Andreia S. Martins; Marta Gromicho; Susana Pinto; Mamede de Carvalho; Sara C. Madeira (IEEE ACM Trans. Comput. Biol. Bioinform., 2022)