Jakub Sevcech

Jakub Sevcech
Slovak University of Technology in Bratislava

Master of Engineering

About

12
Publications
3,001
Reads
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113
Citations

Publications

Publications (12)
Conference Paper
Full-text available
Decision making is a difficult task, especially in the medical domain. Decision trees are among the most often used supervised machine learning algorithms, primarily due to their straightforward interpretation through rules, they are composed of. Visualizations of decision trees can help with the understanding of data and decision rules on top of t...
Chapter
When working with data such as financial transactions or user activity logs, in domains with inherent privacy concerns, you will certainly run into problems with data protection and data availability. Among possible approaches to cope with these problems are data anonymization and data simulation. One of essential advantages in favor of data simula...
Article
Over the past years, many representations for time series were proposed with the main purpose of dimensionality reduction and as a support for various algorithms in the domain of time series data processing. However, most of the transformation algorithms are not directly applicable on streams of data but only on static collections of the data as th...
Conference Paper
Full-text available
Over the past years, many representations for time series were proposed with the main purpose of dimensionality reduction and as a support for various algorithms in the domain of time series data processing. However, most of the transformation algorithms are not directly applicable on streams of data but only on static collections of the data as th...
Article
Full-text available
In multiple studies, various implicit and explicit feedback types were used to quantify document quality and to identify user's interest in document content on both document and sub-document level. In this study we use eye movement data retrieved while reading a document to identify sections, user is most interested in. We describe multiple pattern...
Article
Full-text available
Digital libraries provide an access to a vast amount of valuable information, mostly in the form of scientific publications. The large volume of documents poses challenges regarding their effective organization, search and means of accessing them. In this paper we present Annota - a collaborative tool enabling the researchers to annotate and organi...
Chapter
Full-text available
Web 2.0 has had a tremendous impact on education. It facilitates access and availability of learning content in variety of new formats, content creation, learning tailored to students’ individual preferences, and collaboration. The range of Web 2.0 tools and features is constantly evolving, with focus on users and ways that enable users to socializ...
Article
Full-text available
In this digital age, a lot of documents that people read are accessed through the Web and read on-line. There are various applications and services which enable creating bookmarks, tags, highlights and other types of annotations while reading these electronic documents. Annotations represent additional information on a particular information sou...
Conference Paper
Full-text available
The Web 2.0 principles reflect into learning domain and provide means for interactivity and collaboration. Student activities during learning in this environment can be utilized to gather data usable for learning corpora enrichment. It is now a research issue to examine, to what extent the student crowd is reliable in delivering useful artifacts an...
Conference Paper
Full-text available
We often use various services for creating bookmarks, tags, highlights and other types of annotations while surfing the Web or just reading electronic documents. These annotations represent additional information on particular information source. We proposed a method for query construction to search for related documents to currently studied docume...
Conference Paper
Full-text available
The intensive research in the personalized recommendation area results into the need for the automatizing routine processes within the recommenders' design or evaluation. In this paper we propose a novel framework for evaluation and experimentation with recommenders. Proposed approach supports basic recommenders' types – content based and collabora...
Conference Paper
Full-text available
Nowadays we are facing the daily information overload. It is thus difficult to get exactly the information we need. It often happens that while reading, we find a word we do not understand and we would need an explanation or some additional information about this word. For this purpose annotations in the Web environment are created and attached to...

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