Abstract: This paper presents a relational approach for structuring security decision databases to support advanced automated functionalities. We represent attacks and countermeasures in a unifying ...

Abstract: Existing deep embedding learning based speaker verification (SV) methods suffer from performance degradation under domain shift conditions. This can be alleviated through unsupervised domain ...

Empowering problem-solvers with cutting-edge skills in computing and applied mathematics, paving a distinctive pathway to excel in data science. Computing and mathematics sit at the core of today’s ...

A unique pathway in computing and applied maths that empowers problem-solvers to thrive in data-driven STEM fields. Computing and mathematics sit at the core of today’s most transformative ...

[Notice] This list is not being maintained anymore because of the overwhelming amount of deep learning papers published every day since 2017. A curated list of the most cited deep learning papers ...

Earlier this month the Mathematics Institute at Uppsala University hosted a conference called Categorification in Algebra and Topology, clearly a theme close to our collective heart. As yet there are ...

This project simulates a real-world telecom billing system using SQL, designed to capture, analyze, and reconcile customer usage and billing data. It provides a practical framework for understanding ...