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04/26/2022
Novel Applications for VAE-based Anomaly Detection Systems
The recent rise in deep learning technologies fueled innovation and boos...
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04/11/2022
Bayes Point Rule Set Learning
Interpretability is having an increasingly important role in the design ...
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07/20/2020
MKLpy: a python-based framework for Multiple Kernel Learning
Multiple Kernel Learning is a recent and powerful paradigm to learn the ...
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04/16/2020
Conditioned Variational Autoencoder for top-N item recommendation
In this paper, we propose a Conditioned Variational Autoencoder to impro...
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12/19/2018
Interpretable preference learning: a game theoretic framework for large margin on-line feature and rule learning
A large body of research is currently investigating on the connection be...
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12/21/2016
Boolean kernels for collaborative filtering in top-N item recommendation
In many personalized recommendation problems available data consists onl...
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12/17/2016