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Stefan Feuerriegel
Researcher at ETH Zurich
Publications - 226
Citations - 3640
Stefan Feuerriegel is an academic researcher from ETH Zurich. The author has contributed to research in topics: Computer science & Sentiment analysis. The author has an hindex of 25, co-authored 175 publications receiving 2192 citations. Previous affiliations of Stefan Feuerriegel include University of New South Wales & National Institute of Informatics.
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Exploring the Effect of Visual Cues on Eye Gaze During AR-Guided Picking and Assembly Tasks
TL;DR: In this paper, the authors present an analysis of eye gaze patterns pertaining to visual cues in augmented reality for head-mounted displays (HMDs) for picking and assembly task, which was guided by different visual cues.
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Predicting COVID-19 Spread from Large-Scale Mobility Data
TL;DR: In this article, a mobility marked Hawkes model is proposed to predict the spread of COVID-19 from telecommunication data, which is based on a regularized Poisson regression based on mobility covariates.
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HQP: A Human-Annotated Dataset for Detecting Online Propaganda
TL;DR: The HQP dataset as discussed by the authors is the first dataset for detecting online propaganda that was created through human annotation, which was used to train a few-shot language model to detect online propaganda.
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Generalizing Off-Policy Learning under Sample Selection Bias
TL;DR: In this paper, the authors proposed a framework for learning personalized decision policies that generalize to the target population by using a sample selection bias using a selection variable, where the difference between the training data and target population was characterized as a selection bias and the optimax value of a policy was optimized to achieve the best worst-case policy value on target population.
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Partial Counterfactual Identification of Continuous Outcomes with a Curvature Sensitivity Model
TL;DR: In this paper , the authors propose a sensitivity model called Curvature Sensitivity Model, which allows to obtain informative bounds by bounding the curvature of level sets of the functions.