1 citations · 1 across the 5 of their papers we have counts for
5 papers
A Machine Learning Approach for Predicting Deterioration in Alzheimer's Disease
Henry Musto, Daniel Stamate, Ida Pu +1
This paper explores deterioration in Alzheimers Disease using Machine Learning. Subjects were split into two datasets based on baseline diagnosis (Cognitively Normal, Mild Cognitiv…
Predicting Risk of Dementia with Survival Machine Learning and Statistical Methods: Results on the English Longitudinal Study of Ageing Cohort
Daniel Stamate, Henry Musto, Olesya Ajnakina +1
Machine learning models that aim to predict dementia onset usually follow the classification methodology ignoring the time until an event happens. This study presents an alternativ…
Predicting Alzheimers Disease Diagnosis Risk over Time with Survival Machine Learning on the ADNI Cohort
Henry Musto, Daniel Stamate, Ida Pu +1
The rise of Alzheimers Disease worldwide has prompted a search for efficient tools which can be used to predict deterioration in cognitive decline leading to dementia. In this pape…
Hypotheses Founded Semantics of Logic Programs for Information Integration in Multi-Valued Logics
Yann Loyer, Nicolas Spyratos, Daniel Stamate
We address the problem of integrating information coming from different sources. The information consists of facts that a central server collects and tries to combine using (a) a s…
Computing and Comparing Semantics of Programs in Multi-valued Logics
Y. Loyer, N. Spyratos, D. Stamate
The different semantics that can be assigned to a logic program correspond to different assumptions made concerning the atoms whose logical values cannot be inferred from the rules…