Automatic temporal relation in multi-task learning

M Zhou, P Yang - Proceedings of the 29th ACM SIGKDD Conference on …, 2023 - dl.acm.org
Multi-task learning with temporal relation is a common prediction method for modelling the
evolution of a wide range of systems. Considering the inherent relations between multiple …

Explainable tensor multi-task ensemble learning based on brain structure variation for Alzheimer's Disease dynamic prediction

Y Zhang, T Liu, V Lanfranchi… - IEEE Journal of …, 2022 - ieeexplore.ieee.org
Machine learning approaches for predicting Alzheimer's disease (AD) progression can
substantially assist researchers and clinicians in developing effective AD preventive and …

Integrating Visualised Automatic Temporal Relation Graph into Multi-Task Learning for Alzheimer's Disease Progression Prediction

M Zhou, X Wang, T Liu, Y Yang… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Alzheimer's disease (AD), the most prevalent dementia, gradually reduces the cognitive
abilities of patients while also posing a significant financial burden on the healthcare system …

Investigation of Multi-dimensional Tensor Multi-task Learning for Modeling Alzheimer's Disease Progression

Y Zhang - 2024 - etheses.whiterose.ac.uk
Machine learning (ML) techniques for predicting Alzheimer's disease (AD) progression can
significantly assist clinicians and researchers in constructing effective AD prevention and …

4D Tensor Multi-task Continual Learning for Disease Dynamic Prediction

Y Zhang, X Wang, V Lanfranchi, P Yang - openreview.net
Machine learning techniques for predicting Alzheimer's disease (AD) progression can
substantially help researchers and clinicians establish strong AD preventive and treatment …

[PDF][PDF] Aprendendo Múltiplas Tarefas e Estimando Relacionamentos Locais entre Tarefas Relacionadas

SHG de Oliveira - repositorio.unicamp.br
ABSTRACT Multi-Task Learning focuses on the simultaneous learning of multiple tasks-
classification or regression tasks, for example-expecting to improve performance on each …