Amanote Research

Amanote Research

    RegisterSign In

Attention Based LSTM With Multi Tasks Learning for Predictive Process Monitoring

doi 10.18178/wcse.2019.03.028
Full Text
Open PDF
Abstract

Available in full text

Date

January 1, 2019

Authors

Unknown

Publisher

WCSE


Related search

Predictive Process Monitoring in Apromore

Lecture Notes in Business Information Processing
ControlSystems EngineeringInformation SystemsBusinessInternational ManagementSimulationManagementManagement Information SystemsModeling
2018English

Recognition of Ironic Sentences in Twitter Using Attention-Based LSTM

International Journal of Advanced Computer Science and Applications
Computer Science
2018English

Attention-Based Health Monitoring

International Journal of Monitoring and Surveillance Technologies Research
2013English

Geolocation With Attention-Based Multitask Learning Models

2019English

Entity Recognition in Chinese Clinical Text Using Attention-Based CNN-LSTM-CRF

BMC Medical Informatics and Decision Making
Health PolicyHealth Informatics
2019English

Learning Air Pollution With Bidirectional LSTM RNN

2018English

A Bi-Directional LSTM-CNN Model With Attention for Aspect-Level Text Classification

Future Internet
Computer NetworksCommunications
2018English

A Multi-Label Classifier for Human Protein Subcellular Localization Based on LSTM Networks

2018English

Context2vec: Learning Generic Context Embedding With Bidirectional LSTM

2016English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2025 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy