Recurrent Continuous Adversarial Balancing for Estimating Individual Treatment Effect Over Time
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
Online-Ressource, 1 online resource.
- Sprache
-
Englisch
- Erschienen in
-
Recurrent Continuous Adversarial Balancing for Estimating Individual Treatment Effect Over Time ; volume:16 ; number:1 ; day:13 ; month:5 ; year:2023 ; pages:1-8 ; date:12.2023
International journal of computational intelligence systems ; 16, Heft 1 (13.5.2023), 1-8, 12.2023
- Urheber
-
Zhu, Peifei
Li, Zisheng
Ogino, Masahiro
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1007/s44196-023-00228-3
- URN
-
urn:nbn:de:101:1-2023090812285296809300
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
14.08.2025, 10:53 MESZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Zhu, Peifei
- Li, Zisheng
- Ogino, Masahiro
- SpringerLink (Online service)
Ähnliche Objekte (12)
Continuous self‐adversarial training of recurrent neural network–based constitutive description
Entropy Balancing for Continuous Treatments
Adversarial balancing-based representation learning for causal effect inference with observational data
Cost estimating and analysis : balancing technology and declining budgets
Estimating heterogeneous treatment effect by balancing heterogeneity and fitness
An Efficient Recurrent Adversarial Framework for Unsupervised Real-Time Video Enhancement
A Generative Adversarial Model for Radar Echo Extrapolation Based on Convolutional Recurrent Units
Individualized causal mediation analysis with continuous treatment using conditional generative adversarial networks
Adversarial attacks and adversarial robustness in computational pathology
Sliced Wasserstein adversarial training for improving adversarial robustness
Adversarial attacks and adversarial robustness in computational pathology
Continuous emotions: exploring label interpolation in conditional generative adversarial networks for face generation
Continuous self‐adversarial training of recurrent neural network–based constitutive description
Entropy Balancing for Continuous Treatments
Adversarial balancing-based representation learning for causal effect inference with observational data
Cost estimating and analysis : balancing technology and declining budgets
Estimating heterogeneous treatment effect by balancing heterogeneity and fitness
An Efficient Recurrent Adversarial Framework for Unsupervised Real-Time Video Enhancement
A Generative Adversarial Model for Radar Echo Extrapolation Based on Convolutional Recurrent Units
Individualized causal mediation analysis with continuous treatment using conditional generative adversarial networks
Adversarial attacks and adversarial robustness in computational pathology
Sliced Wasserstein adversarial training for improving adversarial robustness
Adversarial attacks and adversarial robustness in computational pathology
Continuous emotions: exploring label interpolation in conditional generative adversarial networks for face generation
Continuous self‐adversarial training of recurrent neural network–based constitutive description
Entropy Balancing for Continuous Treatments
Adversarial balancing-based representation learning for causal effect inference with observational data
Cost estimating and analysis : balancing technology and declining budgets
Estimating heterogeneous treatment effect by balancing heterogeneity and fitness
An Efficient Recurrent Adversarial Framework for Unsupervised Real-Time Video Enhancement
A Generative Adversarial Model for Radar Echo Extrapolation Based on Convolutional Recurrent Units
Individualized causal mediation analysis with continuous treatment using conditional generative adversarial networks
Adversarial attacks and adversarial robustness in computational pathology
Sliced Wasserstein adversarial training for improving adversarial robustness
Adversarial attacks and adversarial robustness in computational pathology