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Neural Temporal Point Processes For Modelling Electronic Health Records

Neural Temporal Point Processes For Modelling Electronic Health Records

27 July 2020
Joseph Enguehard
Dan Busbridge
Adam James Bozson
Claire Woodcock
Nils Y. Hammerla
ArXivPDFHTML

Papers citing "Neural Temporal Point Processes For Modelling Electronic Health Records"

11 / 11 papers shown
Title
Cardinality-Regularized Hawkes-Granger Model
Cardinality-Regularized Hawkes-Granger Model
T. Idé
Georgios Kollias
Dzung Phan
Naoki Abe
73
11
0
28 Jan 2025
Federated Neural Nonparametric Point Processes
Federated Neural Nonparametric Point Processes
Hui Chen
Hengyu Liu
Hengyu Liu
Xuhui Fan
Zhilin Zhao
Feng Zhou
Christopher J. Quinn
Longbing Cao
FedML
46
0
0
08 Oct 2024
Detecting Abnormal Operations in Concentrated Solar Power Plants from
  Irregular Sequences of Thermal Images
Detecting Abnormal Operations in Concentrated Solar Power Plants from Irregular Sequences of Thermal Images
Sukanya Patra
Nicolas Sournac
Souhaib Ben Taieb
41
1
0
23 Jun 2024
TEE4EHR: Transformer Event Encoder for Better Representation Learning in
  Electronic Health Records
TEE4EHR: Transformer Event Encoder for Better Representation Learning in Electronic Health Records
Hojjat Karami
David Atienza
Anisoara Ionescu
AI4TS
38
1
0
09 Feb 2024
Spatio-Temporal Graph Neural Point Process for Traffic Congestion Event
  Prediction
Spatio-Temporal Graph Neural Point Process for Traffic Congestion Event Prediction
G. Jin
Lingbo Liu
Fuxian Li
Jincai Huang
AI4TS
GNN
3DPC
34
34
0
15 Nov 2023
Event Stream GPT: A Data Pre-processing and Modeling Library for
  Generative, Pre-trained Transformers over Continuous-time Sequences of
  Complex Events
Event Stream GPT: A Data Pre-processing and Modeling Library for Generative, Pre-trained Transformers over Continuous-time Sequences of Complex Events
Matthew B. A. McDermott
Bret A. Nestor
Peniel Argaw
I. Kohane
AI4TS
32
21
0
20 Jun 2023
Hawkes Process Based on Controlled Differential Equations
Hawkes Process Based on Controlled Differential Equations
Minju Jo
Seung-Uk Kook
Noseong Park
AI4TS
37
1
0
09 May 2023
Modeling Inter-Dependence Between Time and Mark in Multivariate Temporal
  Point Processes
Modeling Inter-Dependence Between Time and Mark in Multivariate Temporal Point Processes
Govind V Waghmare
Ankur Debnath
Siddhartha Asthana
Aakarsh Malhotra
33
6
0
27 Oct 2022
HYPRO: A Hybridly Normalized Probabilistic Model for Long-Horizon
  Prediction of Event Sequences
HYPRO: A Hybridly Normalized Probabilistic Model for Long-Horizon Prediction of Event Sequences
Siqiao Xue
Xiaoming Shi
James Y. Zhang
Hongyuan Mei
AI4TS
19
34
0
04 Oct 2022
Challenges and opportunities in applying Neural Temporal Point Processes
  to large scale industry data
Challenges and opportunities in applying Neural Temporal Point Processes to large scale industry data
Dominykas Seputis
Jevgenij Gamper
Remigijus Paulavičius
AI4TS
11
1
0
18 Aug 2022
Transformer Embeddings of Irregularly Spaced Events and Their
  Participants
Transformer Embeddings of Irregularly Spaced Events and Their Participants
Chenghao Yang
Hongyuan Mei
Jason Eisner
AI4TS
20
58
0
31 Dec 2021
1