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Name: Felice Antonio Merra, PhD
Type: User
Company: Amazon
Bio: Applied Scientist II at Amazon.
Twitter: merrafelice
Location: Berlin
Name: Felice Antonio Merra, PhD
Type: User
Company: Amazon
Bio: Applied Scientist II at Amazon.
Twitter: merrafelice
Location: Berlin
In this survey, we provide an exhaustive literature review of 76 articles published in major RS and ML journals and conferences. This review serves as a reference for the RS community, working on the security of RS or on generative models using GANs to improve their quality.
Adversarial Learning, Matrix Factorization, Recommendation
In this work, we provide 24 combinations of attack/defense strategies, and visual-based recommenders to 1) access performance alteration on recommendation and 2) empirically verify the effect on final users through offline visual metrics.
A Black-Box Attack Model for Visually-AwareRecommender Systems - Source Code
Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation
Live coding session presented at RecSys 2020
Custom implementation of the paper Path-based Semantic Relatedness on Linked Data and its use to Word and Entity Disambiguation
Custom implementation for the journal paper: Learning Reliable Visual Saliency For Model Explanations. IEEE TMM 2020
Felice Antonio Merra's Personal Blog. Follow my research activity! @merrafelice
This repository implements pre-processing operations of the MELON PLAYLIST DATASET released by Ferraro et al.
In this paper, we introduce SAShA, a new attack strategy that leverages semantic features extracted from a knowledge graph in order to strengthen the efficacy of the attack to standard CF models. We performed an extensive experimental evaluation in order to investigate whether SAShA is more effective than baseline attacks against CF models by taking into account the impact of various semantic features.
Proposal of a novel adversarial attack approach, called Target Adversarial Attack against Multimedia Recommender Systems (TAaMR), to investigate the modification of MR behavior when the images of a category of low recommended products (e.g., socks) are perturbed to misclassify the deep neural classifier towards the class of more recommended products (e.g., running shoes) with human-level slight images alterations.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.