Jana Kludas

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[This corrects the article DOI: 10.1099/mic.0.000477.].

Multiple interacting factors affect the performance of engineered biological systems in synthetic biology projects. The complexity of these biological systems means that experimental design should often be treated as a multiparametric optimization problem. However, the available methodologies are either impractical, due to a combinatorial explosion...

Multiple interacting factors affect the performance of engineered biological systems in synthetic biology projects. The complexity of these biological systems means that experimental design should often be treated as a multiparametric optimization problem. However, the available methodologies are either impractical, due to a combinatorial explosion...

In this paper we apply machine learning methods for predicting protein interactions in fungal secretion pathways. We assume an inter-species transfer setting, where training data is obtained from a single species and the objective is to predict protein interactions in other, related species. In our methodology, we combine several state of the art m...

Author Summary Advances in next-generation sequencing technologies are revolutionizing molecular biology. Sequencing-enabled cost-effective characterization of microbial genomes is a particularly exciting development in metabolic engineering. There, considerable effort has been put to reconstructing genome-scale metabolic networks that describe the...

The ImageCLEF Wikipedia image retrieval task aimed to support ad-hoc image retrieval evaluation using large-scale collections of Wikipedia images and their user-generated annotations.

Multimedia data collections immersed into social networks may be explored from the point of view of varying documents and users characteristics. In this paper, we develop a unified model to embed documents, concepts and users into coherent structures from which to extract optimal subsets and to diffuse information. The result is the definition info...

ImageCLEF'sWikipedia Image Retrieval task provides a testbed for the system-oriented evaluation of multimedia and multilingual information retrieval from a collection of Wikipedia images. The aim is to investigate retrieval approaches in the context of a large and heterogeneous collection of images (similar to those encountered on the Web) that are...

The joint processing of multimodal data received a lot of attention in the last decade due to the increased availability of multimedia data and the under-performance of content-based approaches. This work shows that effective information fusion for multimedia document processing can be achieved by learning the data structure that underlies the fusi...

The Wikipedia image retrieval task at ImageCLEF provides a test–bed for the system–oriented evaluation of visual information retrieval from a collection of Wikipedia images. The aim is to investigate the effectiveness of retrieval approaches that exploit textual and visual evidence in the context of a large and heterogeneous collection of images th...

ImageCLEF’s wikipediaMM task provides a testbed for the system-oriented evaluation of multimedia information retrieval from a collection of Wikipedia images. The aim is to investigate retrieval approaches in the context of a large and heterogeneous collection of images (similar to those encountered on the Web) that are searched for by users with di...

The article presents the information-theoretic based feature information interaction, a measure that can describe complex feature de- pendencies in multivariate settings. According to the theoretical devel- opment, feature interactions are more accurate than current, bivariate dependence measures due to their stable and unambiguous deflnition. In e...

Information fusion, especially for high dimensional multimedia data, is still an open research problem. In this article, we present a new approach to target this problem. Feature information interaction is an information-theoretic dependence measure that can determine synergy and redundancy between attributes, which then can be exploited with featu...

The wikipediaMM task provides a testbed for the systemoriented evaluation of ad-hoc retrieval from a large collection of Wikipedia images. It became a part of the ImageCLEF evaluation campaign in 2008 with the aim of investigating the use of visual and textual sources in combination for improving the retrieval performance. This paper presents an ov...

The task of multimedia document classification is challenging due to a diverse set of problems like a high dimensional, sparse and noisy features space, the unknown relevance of the features towards the classification target and the semantic gap between non-informative, low-level features and high-level semantic meanings. As a solution we propose a...

In retrieval, indexing and classification of multimedia data an efficient information fusion of the different modalities is essential for the systems overall performance. Since information fusion, its influence factors and performance improvement boundaries have been lively dis- cussed in the last years in different research communities, we will re...

In retrieval, indexing and classiflcation of multimedia data an e-cient information fusion of the difierent modalities is essential for the system's overall performance. Since information fusion, its in∞uence factors and performance improvement boundaries have been lively dis- cussed in the last years in difierent research communities, we will revi...

Representing and fusing multimedia information is a key is- sue to discover semantics in multimedia. In this paper we address more specifically the problem of multimedia content retrieval by first defining a novel preference-based represen- tation particularly adapted to the fusion problem, and then, by investigating the RankBoost algorithm to comb...

The population of the World Wide Web with media of all types such as texts, images, videos and audio flles in recent years raised the attractiveness of multimedia retrieval. Even though these approaches have more information at their hands, they still do not perform better than plain text search approaches when applied to large, noisy collections l...

Zusammenfassung Eine weitgehende Farbkonstanz stellt eine wesentliche Vorausetzung für die visuelle Infor-mationsverarbeitung in der moderner Servicerobotik dar. Als Beispiel seien hier die visuelle Nutzerdetektion in realen Umgebungen mit bewegten Kamerasystemen auf Basis von Haut-farbdetektion und die visuelle Selbstlokalisation des Roboters gena...