Affective State Prediction from Smartphone Touch and Sensor Data in the Wild
Multimodal affective state prediction from smartphone touch and sensor data in naturalistic conditions, using deep learning fusion. CHI 2022.
S. Klingler
Affective State Prediction Based on Semi-Supervised Learning from Smartphone Touch Data
Semi-supervised learning for affective state prediction from smartphone touch data, leveraging abundant unlabeled naturalistic data. CHI 2020.
Affective State Prediction in a Mobile Setting using Wearable Biometric Sensors and Stylus
Affective state prediction during mobile learning using wearable biometric sensors and stylus interaction data. EDM 2019.
Efficient Feature Embeddings for Student Classification with Variational Auto-encoders
Variational autoencoder-based feature embeddings for student classification in educational data mining settings. EDM 2017.
s.-klingler