Teachers deal with plagiarism on a regular basis, so they try to prevent and detect
plagiarism, a task that is complicated by the large size of some classes. Students who cheat …

Deep neural networks (DNNs) are often used for text classification due to their high
accuracy. However, DNNs can be computationally intensive, requiring millions of …

Ming Li Paul Vitányi Fourth Edition Page 1 An Introduction to Kolmogorov Complexity and Its
Applications Ming Li Paul Vitányi Fourth Edition Texts in Computer Science Page 2 Texts in …

A new class of distances appropriate for measuring similarity relations between sequences,
say one type of similarity per distance, is studied. We propose a new" normalized …

We present a new method for clustering based on compression. The method does not use
subject-specific features or background knowledge, and works as follows: First, we …

Mobile application markets such as the Android Marketplace provide a centralized
showcase of applications that end users can purchase or download for free onto their mobile …

Plagiarism is becoming a serious problem for intellectual community. The detection of
plagiarism at various levels is a major issue. The complexity of the problem increases when …

In this paper I explain the design of our own assessment software and discuss our
experience of using it in relation to the above-mentioned factors and concerns. My reflection …

Source code plagiarism is an easy to do task, but very difficult to detect without proper tool
support. Various source code similarity detection systems have been developed to help …

Many systems in nature can be described using discrete input–output maps. Without
knowing details about a map, there may seem to be no a priori reason to expect that a …