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Found 6 papers, 1 papers with code
Evaluating Trustworthiness of Online News Publishers via Article Classification
The proliferation of low-quality online information in today's era has underscored the need for robust and automatic mechanisms to evaluate the trustworthiness of online news publishers.
Explainable Ponzi Schemes Detection on Ethereum
Blockchain technology has been successfully exploited for deploying new economic applications.
MUSTACHE: Multi-Step-Ahead Predictions for Cache Eviction
In this work, we propose MUSTACHE, a new page cache replacement algorithm whose logic is learned from observed memory access requests rather than fixed like existing policies.
Turning Federated Learning Systems Into Covert Channels
Although the effect of the model poisoning is negligible to other participants, and does not alter the overall model performance, it can be observed by a malicious receiver and used to transmit a single bit.
Towards Real-time Customer Experience Prediction for Telecommunication Operators
To this end, we follow a supervised learning approach for prediction and train our 'Restricted Random Forest' model using, as a proxy for bad experience, the observed customer transactions in the telco data feed before the user places a call to a customer care center.
Predicting User Engagement in Twitter with Collaborative Ranking
Collaborative Filtering (CF) is a core component of popular web-based services such as Amazon, YouTube, Netflix, and Twitter.
