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Graph representation forecasting of patient's medical conditions:
  towards a digital twin

Graph representation forecasting of patient's medical conditions: towards a digital twin

17 September 2020
Pietro Barbiero
Ramon Vinas Torné
Pietro Lio
    AI4CE
ArXivPDFHTML

Papers citing "Graph representation forecasting of patient's medical conditions: towards a digital twin"

7 / 7 papers shown
Title
Assisting clinical practice with fuzzy probabilistic decision trees
Assisting clinical practice with fuzzy probabilistic decision trees
Emma L. Ambags
G. Capitoli
Vincenzo L' Imperio
M. Provenzano
M. S. Nobile
Pietro Lio
8
3
0
16 Apr 2023
The Digital Twin Landscape at the Crossroads of Predictive Maintenance,
  Machine Learning and Physics Based Modeling
The Digital Twin Landscape at the Crossroads of Predictive Maintenance, Machine Learning and Physics Based Modeling
Brian E Kunzer
Mario Berges
Artur Dubrawski
AI4CE
19
6
0
21 Jun 2022
GCExplainer: Human-in-the-Loop Concept-based Explanations for Graph
  Neural Networks
GCExplainer: Human-in-the-Loop Concept-based Explanations for Graph Neural Networks
Lucie Charlotte Magister
Dmitry Kazhdan
Vikash Singh
Pietro Lio
35
48
0
25 Jul 2021
Deep Graph Library: A Graph-Centric, Highly-Performant Package for Graph
  Neural Networks
Deep Graph Library: A Graph-Centric, Highly-Performant Package for Graph Neural Networks
Minjie Wang
Da Zheng
Zihao Ye
Quan Gan
Mufei Li
...
Jun Zhao
Haotong Zhang
Alex Smola
Jinyang Li
Zheng-Wei Zhang
AI4CE
GNN
206
747
0
03 Sep 2019
Geometric deep learning: going beyond Euclidean data
Geometric deep learning: going beyond Euclidean data
M. Bronstein
Joan Bruna
Yann LeCun
Arthur Szlam
P. Vandergheynst
GNN
261
3,243
0
24 Nov 2016
Bayesian Convolutional Neural Networks with Bernoulli Approximate
  Variational Inference
Bayesian Convolutional Neural Networks with Bernoulli Approximate Variational Inference
Y. Gal
Zoubin Ghahramani
UQCV
BDL
202
745
0
06 Jun 2015
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
287
9,156
0
06 Jun 2015
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