Seuraa
Eduardo N. Castanho
Eduardo N. Castanho
LASIGE, Informática, Faculdade de Ciências, Universidade de Lisboa
Vahvistettu sähköpostiosoite verkkotunnuksessa fc.ul.pt
Nimike
Viittaukset
Viittaukset
Vuosi
Biclustering fMRI time series: a comparative study
EN Castanho, H Aidos, SC Madeira
BMC bioinformatics 23 (1), 192, 2022
262022
Artificial intelligence and statistical methods for stratification and prediction of progression in amyotrophic lateral sclerosis: A systematic review
E Tavazzi, E Longato, M Vettoretti, H Aidos, I Trescato, C Roversi, ...
Artificial Intelligence in Medicine 142, 102588, 2023
222023
Survival Analysis for Multiple Sclerosis: Predicting Risk of Disease Worsening.
R Branco, JB Valente, AS Martins, DF Soares, EN Castanho, SC Madeira, ...
CLEF (Working Notes), 1199-1209, 2023
72023
Biclustering data analysis: a comprehensive survey
EN Castanho, H Aidos, SC Madeira
Briefings in Bioinformatics 25 (4), bbae342, 2024
62024
Investigating the Impact of Environmental Data on ALS Prognosis with Survival Analysis.
R Branco, DF Soares, AS Martins, JB Valente, EN Castanho, SC Madeira, ...
CLEF (Working Notes), 1186-1198, 2023
52023
Explaining Artificial Intelligence Predictions of Disease Progression with Semantic Similarity.
S Nunes, RT Sousa, F Serrano, R Branco, DF Soares, AS Martins, ...
CLEF (Working Notes), 1256-1268, 2022
42022
Hierarchical Modelling for ALS Prognosis: Predicting the Progression Towards Critical Events.
R Branco, DF Soares, AS Martins, E Auletta, EN Castanho, S Nunes, ...
CLEF (Working Notes), 1211-1227, 2022
32022
Predicting the functional rating scale and self-assessment status of ALS patients with sensor data
A Martins, D Amaral, E Castanho, D Soares, R Branco, S Madeira, ...
CLEF, 2024
22024
G-bic: generating synthetic benchmarks for biclustering
EN Castanho, JP Lobo, R Henriques, SC Madeira
BMC bioinformatics 24 (1), 457, 2023
22023
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