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5 papers · 2 filters
On Metrics to Assess the Transferability of Machine Learning Models in Non-Intrusive Load Monitoring
Christoph Klemenjak, Anthony Faustine, Stephen Makonin +1
To assess the performance of load disaggregation algorithms it is common practise to train a candidate algorithm on data from one or multiple households and subsequently apply cros…
U-CNNpred: A Universal CNN-based Predictor for Stock Markets
Ehsan Hoseinzade, Saman Haratizadeh, Arash Khoeini
The performance of financial market prediction systems depends heavily on the quality of features it is using. While researchers have used various techniques for enhancing the stoc…
Graph Generation with Variational Recurrent Neural Network
Shih-Yang Su, Hossein Hajimirsadeghi, Greg Mori
Generating graph structures is a challenging problem due to the diverse representations and complex dependencies among nodes. In this paper, we introduce Graph Variational Recurren…
Differentially Private Survival Function Estimation
Lovedeep Gondara, Ke Wang
Survival function estimation is used in many disciplines, but it is most common in medical analytics in the form of the Kaplan-Meier estimator. Sensitive data (patient records) is…
Towards Neural Mixture Recommender for Long Range Dependent User Sequences
Jiaxi Tang, Francois Belletti, Sagar Jain +4
Understanding temporal dynamics has proved to be highly valuable for accurate recommendation. Sequential recommenders have been successful in modeling the dynamics of users and ite…