We describe the results from a two-year study with fourteen universities on presenting formal languages in a more visual, interactive and applied manner using JFLAP. In our result...
Susan H. Rodger, Eric Wiebe, Kyung Min Lee, Chris ...
High-dimensional data usually incur learning deficiencies and computational difficulties. We present a novel semi-supervised dimensionality reduction technique that embeds high-dim...
This paper focuses on decentralized personalized search engines. It is composed of three parts. Firstly, we formulate the problem and we propose a graph-based measure of quality o...
Today’s users want to access their data everywhere and any time – in various environments and occasions. The data itself can be very complex – the problem is then in providi...
Vladislav Nemec, Pavel Zikovsky, Pavel Slaví...
Abstract. Anomaly detection is based on profiles that represent normal behaviour of users, hosts or networks and detects attacks as significant deviations from these profiles. In t...