Modeling user attention in music recommendation
With the popularity of online music services, personalized music recommendation has
garnered much research interest. Recommendation models are typically trained on datasets …
garnered much research interest. Recommendation models are typically trained on datasets …
Modeling PU learning using probabilistic logic programming
V Verreet, L De Raedt, J Bekker - Machine Learning, 2024 - Springer
The goal of learning from positive and unlabeled (PU) examples is to learn a classifier that
predicts the posterior class probability. The challenge is that the available labels in the data …
predicts the posterior class probability. The challenge is that the available labels in the data …
On Detecting COVID-Risky Behavior from Smartphones
T Hartvigsen, W Gerych, M Ghassemi - epiDAMIK 5.0: The 5th …, 2022 - openreview.net
Detecting risky behavior using smartphones and other mobile devices may help mitigate the
spread of infectious diseases. However, the privacy concerns introduced by individualized …
spread of infectious diseases. However, the privacy concerns introduced by individualized …