| Predicting progression of mild cognitive impairment to dementia using neuropsychological data: a supervised learning approach using time windows T Pereira, L Lemos, S Cardoso, D Silva, A Rodrigues, I Santana, ... BMC medical informatics and decision making 17, 1-15, 2017 | 52 | 2017 |
| Neuropsychological predictors of conversion from mild cognitive impairment to Alzheimer’s disease: a feature selection ensemble combining stability and predictability T Pereira, FL Ferreira, S Cardoso, D Silva, A De Mendonça, M Guerreiro, ... BMC medical informatics and decision making 18, 1-20, 2018 | 44 | 2018 |
| Classification of primary progressive aphasia: Do unsupervised data mining methods support a logopenic variant? C Maruta, T Pereira, SC Madeira, A De Mendonca, M Guerreiro Amyotrophic Lateral Sclerosis and Frontotemporal Degeneration 16 (3-4), 147-159, 2015 | 17 | 2015 |
| Towards a reliable prediction of conversion from Mild Cognitive Impairment to Alzheimer’s Disease: stepwise learning using time windows T Pereira, A de Mendonça, F Ferreira, M Guerreiro, CM Sara Workshop on Medical Informatics and Healthcare, KDD 2027, Halifax, Canada …, 2017 | 5 | 2017 |
| Towards Trustworthy Predictions of Conversion from Mild Cognitive Impairment to Dementia: A Conformal Prediction Approach T Pereira, S Cardoso, D Silva, A de Mendonça, M Guerreiro, SC Madeira International Conference on Practical Applications of Computational Biology …, 2017 | 4 | 2017 |
| Ensemble learning with Conformal Predictors: Targeting credible predictions of conversion from Mild Cognitive Impairment to Alzheimer's Disease T Pereira, S Cardoso, D Silva, M Guerreiro, A de Mendonça, SC Madeira Workshop on Machine Learning for Medicine and Healthcare, KDD 2018, London, UK, 2018 | 1 | 2018 |
| Do Data Mining Methods Support the Three-Group Diagnostic Model of Primary Progressive Aphasia? T Pereira, C Maruta, A de Mendonça, M Guerreiro, SC Madeira ACM SIGKDD Workshop on Health Informatics (HI-KDD 2014), NY, USA, 2014 | | 2014 |
Sara C. MadeiraAssociate Professor,LASIGE,Departamento de Informática,Faculdade de Ciências,Universidade de LisboaVerified email at fc.ul.pt
