Despite the diverse calls for transferability in IS research, most IS qualitative research studies still pay little attention to the potential applicability of their results in other social contexts (settings). We argue that one way to support the assessment of transferability is to characterize the deep features of the research setting. The two main premises of this paper are that although in ...

The utility of species distribution models for applications in invasion and global change biology is critically dependent on their transferability between regions or points in time, respectively. We introduce two methods that aim to improve the transferability of presence-only models: density-based occurrence thinning and performance-based predictor selection. We evaluate the effect of these me...

In “The Death of Genre: Why the Best YA fiction Often Defies Classification” (The ALAN Review, 35.1: 43-50), Scot Smith speaks of having to constantly reclassify and reshuffle texts as he and his students consider the books on the genre lists used in his classes. Knowing that “Young adult literature has a long tradition of authors whose works defy genre classification” (43), he mulls over the i...

We introduce a novel conditional e-cash protocol allowing future anonymous cashing of bank-issued e-money only upon the satisfaction of an agreedupon public condition. Payers are able to remunerate payees for services that depend on future, yet to be determined outcomes of events. Moreover, payees are able to further transfer payments to third parties. Once payment complete, any double-spending...

We describe a system for automatic chord transcription from the raw audio using genre-specific hidden Markov models trained on audio-from-symbolic data. In order to avoid enormous amount of human labor required to manually annotate the chord labels for ground-truth, we use symbolic data such as MIDI files to automate the labeling process. In parallel, we synthesize the same symbolic files to pr...

Any automatic music genre recognition (MGR) system must show its value in tests against a ground truth dataset. Recently, the public dataset most often used for this purpose has been proven problematic, because of mislabeling, duplications, and its relatively small size. Another dataset, the Million Song Dataset (MSD), a collection of features and metadata for one million tracks, unfortunately ...

Webpages are mainly distinguished by their topic (e.g., politics, sports etc.) and genre (e.g., blogs, homepages, e-shops, etc.). Automatic detection of webpage genre could considerably enhance the ability of modern search engines to focus on the requirements of the user’s information need. In this paper, we present an approach to webpage genre detection based on a fully-automated extraction of...

The concept of genre is as old as literary theory itself, but centuries of debate haven’t produced much consensus on the topic. Part of the reason is that genre looks like a different thing at different points in the life of a text. Scholars of rhetoric tend to focus on the patterns of communicative action that produce memoranda or tragedies (Devitt 2004; Miller 1984). Sociologists are sometime...

The dynamic nature of web and with the increase of the number of web pages, it is very difficult to search required web pages easily and quickly out of thousands of web pages retrieved by a search engine. The solution to this problem is to classify the web pages according to their genre. Automatic genre identification of web pages has become an important area in web page classification, because...

Retrieving relevant documents over the Web is an overwhelming task when search engines return thousands of Web documents. Sifting through these documents is time-consuming and sometimes leads to an unsuccessful search. One problem is that most search engines rely on matching a query to documents based solely on topical keywords. However, many users of search engines have a particular genre in m...