Search Results for author: Tommaso Carraro

Found 3 papers, 1 papers with code

Novel Applications for VAE-based Anomaly Detection Systems

no code implementations26 Apr 2022 Luca Bergamin, Tommaso Carraro, Mirko Polato, Fabio Aiolli

Research also indicates different biases affect deep learning models, leading to social issues such as misrepresentation.

Anomaly Detection

Bayes Point Rule Set Learning

no code implementations11 Apr 2022 Fabio Aiolli, Luca Bergamin, Tommaso Carraro, Mirko Polato

The produced DNF is a set of conjunctive rules, each corresponding to the most specific rule consistent with a part of positive and all negative examples.

Conditioned Variational Autoencoder for top-N item recommendation

1 code implementation16 Apr 2020 Tommaso Carraro, Mirko Polato, Fabio Aiolli

In this paper, we propose a Conditioned Variational Autoencoder (C-VAE) for constrained top-N item recommendation where the recommended items must satisfy a given condition.

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