Collaborations
This overview shows research and development projects which were executed in collaboration with other research institutions. The results are typically freely available for the research community use. For commercial usage, a separate agreement must be obtained from all partners.
2022/06/01
In recent years, online shopping has increased rapidly. Currently, this trend is also being fuelled by the Covid 19 pandemic and, according to many experts, will continue unabated in the future. As a result, e-commerce in the B2C sector recorded record figures in 2021 in terms of turnover (9.6 billion euros, cf. Handelsverband Österreich 2021a) and in terms of postal parcels delivered (76.5 million euros in the first quarter, cf. Rundfunk...
2019/09/01
In this 2-year FFG MdZ (mobility of the future) project Cycle4Value, a transparent and low-threshold reward model for promoting cycling based on the key technology blockchain is being researched and tested in practice for the first time. The economic, health and ecological benefits/effects of cycling are presented in a comprehensible way and, after a plausibility check using machine learning, converted into a real value (=cycle tokens). These...
2017/03/01
In this 2-year FFG MdZ (mobility of the future) project we research technologies to reduce the negative effects of online ordering in cooperation with our partners yVerkehrsplanung, Attribu-i GmbH, Grüne Erde GmbH and the Danube University Krems as project coordinator.
2010/05/31
Our long-term goal is to explain how the relatively small nervous system of C. elegans implements observable learning behaviour, in order to obtain inspiration for building new robust learning algorithms. First results as paper and code are already available, see below.
This page describes the software accompanying the paper Quantifying Phenotypic Variation in Isogenic Caenorhabditis elegans... (Citation see below). The software analyzes...
2008/12/12
Within this three-year FFG Bridge7 project we developed and researched intelligent image processing algorithms to analyse human tissue (placenta, colon and bone) using computer-supported slide-based microscopy. Partners in this project are Medical University of Vienna and TissueGnostics GmbH.
2008/01/01
This project was initiated by Dr. Alexander K. Seewald and was conducted at the Research Lab Computational Technologies and Applications of the faculty for computer science of the University of Vienna under the leadership of Dr. Wilfried Gansterer.
Previous research initiatives are focussed on the recognition and defense against unwanted or potentially harmful E-Mail messages (for simplification purposes named as Spam). Within this project we...
2003/01/01
I was involved in the BioMinT EU-funded research project (2003-2005), which was concerned with text mining in biological research literature and online databases. I was directly responsible for:
Implementation of a parser for fourteen online databases, transitive closure on the link graph, output as name pairs (synonyms) - 12 million pairs in all
Research and development in biological species recognition, named entity recognition, ranking and...