Interpretable Dropout Prediction: Towards XAI-Based Personalized Intervention
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Anmerkungen
-
online resource.
- Erschienen in
-
Interpretable Dropout Prediction: Towards XAI-Based Personalized Intervention ; day:14 ; month:3 ; year:2023 ; pages:1-27
International journal of artificial intelligence in education ; (14.3.2023), 1-27
- Urheber
-
Nagy, Marcell
Molontay, Roland
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1007/s40593-023-00331-8
- URN
-
urn:nbn:de:101:1-2023080421094802927384
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
14.08.2025, 10:44 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
- Nagy, Marcell
- Molontay, Roland
- SpringerLink (Online service)
Ähnliche Objekte (12)
Schulabsentismus und Dropout : Erscheinungsformen - Erklärungsansätze - Intervention
Interpretable clinical prediction via attention-based neural network
Multiperiod Bankruptcy Prediction Models with Interpretable Single Models
Interpretable spatial identity neural network-based epidemic prediction
Determinable and interpretable network representation for link prediction
Interpretable machine learning prediction of all-cause mortality
Prediction of Early Dropouts in Patient Remote Monitoring Programs
Interpretable EEG seizure prediction using a multiobjective evolutionary algorithm
Probabilistic Hierarchical Interpolation and Interpretable Configuration for Flood Prediction
Interpretable machine learning predicts cardiac resynchronization therapy responses from personalized biochemical and biomechanical features
Personalized choice prediction with less user information
Driving STEM learning effectiveness: dropout prediction and intervention in MOOCs based on one novel behavioral data analysis approach
Schulabsentismus und Dropout : Erscheinungsformen - Erklärungsansätze - Intervention
Interpretable clinical prediction via attention-based neural network
Multiperiod Bankruptcy Prediction Models with Interpretable Single Models
Interpretable spatial identity neural network-based epidemic prediction
Determinable and interpretable network representation for link prediction
Interpretable machine learning prediction of all-cause mortality
Prediction of Early Dropouts in Patient Remote Monitoring Programs
Interpretable EEG seizure prediction using a multiobjective evolutionary algorithm
Probabilistic Hierarchical Interpolation and Interpretable Configuration for Flood Prediction
Interpretable machine learning predicts cardiac resynchronization therapy responses from personalized biochemical and biomechanical features
Personalized choice prediction with less user information
Driving STEM learning effectiveness: dropout prediction and intervention in MOOCs based on one novel behavioral data analysis approach
Schulabsentismus und Dropout : Erscheinungsformen - Erklärungsansätze - Intervention
Interpretable clinical prediction via attention-based neural network
Multiperiod Bankruptcy Prediction Models with Interpretable Single Models
Interpretable spatial identity neural network-based epidemic prediction
Determinable and interpretable network representation for link prediction
Interpretable machine learning prediction of all-cause mortality
Prediction of Early Dropouts in Patient Remote Monitoring Programs
Interpretable EEG seizure prediction using a multiobjective evolutionary algorithm
Probabilistic Hierarchical Interpolation and Interpretable Configuration for Flood Prediction
Interpretable machine learning predicts cardiac resynchronization therapy responses from personalized biochemical and biomechanical features
Personalized choice prediction with less user information