R
Rafael Wampfler
Researcher at ETH Zurich
Publications - 8
Citations - 67
Rafael Wampfler is an academic researcher from ETH Zurich. The author has contributed to research in topics: Computer science & Semi-supervised learning. The author has an hindex of 4, co-authored 6 publications receiving 41 citations.
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Proceedings Article
Efficient Feature Embeddings for Student Classification with Variational Auto-Encoders.
TL;DR: A semi-supervised classification pipeline that makes effective use of unlabeled data to significantly improve model quality and outperforms previous methods for finding efficient feature embeddings and generalizes better to imbalanced data sets compared to expert features.
Proceedings ArticleDOI
Affective State Prediction Based on Semi-Supervised Learning from Smartphone Touch Data
TL;DR: A variational auto-encoder was developed to learn efficient feature embeddings of two-dimensional heat maps generated from touch data while participants engaged in these conversations to demonstrate the feasibility of the approach to accurately predict affective states based only on touch data.
Proceedings ArticleDOI
Affective State Prediction in a Mobile Setting using Wearable Biometric Sensors and Stylus
TL;DR: An automated pipeline capable of accurately predicting the affective states of participants solving tablet-based math tasks using signals from low-cost mobile bio-sensors is presented and handwriting data recorded from a stylus while students solved the math tasks is used.
Proceedings ArticleDOI
Affective State Prediction from Smartphone Touch and Sensor Data in the Wild
TL;DR: An affective state classification model based on data gathered on smartphones in real-world environments is presented, which accurately predicts three levels (low, medium, high) of valence, arousal, and dominance and achieves similar performance using the inertial sensor data alone.